30 October 2026, Volume 39 Issue 10
    

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    Special Column on Design Theory, Intelligent Construction and Operation & Maintenance of Submerged Floating Tunnel
  • XIANG Yi-qiang, YANG Ying, LIN Heng, SHEN Yong-gang
    China Journal of Highway and Transport. 2026, 39(10): 1-28. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.001
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    As a novel cross-sea passage structure, the submerged floating tunnel (SFT) offers advantages such as large spanning capacity, strong topographic adaptability, minimal environmental impact, and all-weather operation, and is regarded as an important solution for addressing the challenges of constructing long-distance, deep-water cross-sea passages. However, as an innovative design, its design theories, analysis methods, and construction techniques are not yet mature, and no actual engineering project has been completed to date. This paper systematically reviewed the recent research advances in SFTs in terms of structural design and optimization, dynamic behavior analysis, construction techniques, and structural safety and monitoring. First, the selection principles and applicable conditions of tube cross-sectional forms, anchor cable layouts, deep-water foundation types, and joint configurations were discussed. Second, the structural responses and analysis theories under the individual or combined action of multiple loads, including waves, currents, vehicles, earthquakes, collisions, explosions, and cable rupture, were summarized, and the applicability characteristics of different analysis models and methods were compared. Finally, construction technical schemes such as underwater docking of tube segments and anchoring and tensioning were described, along with explorations in structural safety and intelligent health monitoring system frameworks. In view of the current research status, key technical bottlenecks were identified, including unclear multi-field coupling mechanisms, insufficient large-scale experimental verification, construction techniques that mostly remain at the conceptual stage, gaps in long-term durability research, lack of engineering validation for risk assessment and monitoring, and absence of design specifications. Future research in structural analysis, model testing, intelligent construction, and operation and maintenance was also prospected, with the aim of providing a reference for in-depth exploration and accelerated engineering application in the field of SFTs.
  • LI Ke, JI Chong, ZHONG Dan, CHENG Liang, WU Meng-jun
    China Journal of Highway and Transport. 2026, 39(10): 29-41. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.002
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    To investigate the stability and mooring line layout optimization of elliptical cross-section submerged floating tunnel (SFT) under combined wave-current action, an analytical model for the mooring constraint stiffness at a single anchoring section was established based on the assumptions of small displacement and linear elasticity. Furthermore, an equivalent modeling approach for elliptical cross-section SFT was proposed using the linear superposition principle, and a time-domain simulation model for the wave-current-tunnel-mooring system was established in OrcaFlex. Taking a rail-road cross-sea passage as the engineering background, the dynamic responses of 19 mooring line layout schemes in three categories, namely two-inclined, two-vertical plus two-inclined, and four-inclined arrangements, were systematically analyzed under combined wave-current action. A comprehensive evaluation framework incorporating structural stability, mooring line health status, and economic efficiency was constructed based on the entropy weight method and the technique for order preference by similarity to ideal solution (TOPSIS) to quantitatively compare different arrangements. The results indicate that when the mooring line inclination angle and installation angle are complementary, the horizontal and torsional motions of the structure can be decoupled, reducing the rotational response amplitude by 1-2 orders of magnitude. The elliptical cross-section SFT requires higher vertical restraint stiffness, and the mooring line inclination angle should not be smaller than 45°. A single mooring group can hardly meet the requirements for both large horizontal and vertical stiffness simultaneously. Increasing the number of mooring groups facilitates stiffness decoupling optimization. The inclination angle of the outer mooring lines should be controlled within 55°-60°, but an excessive difference between the inclination angles of the inner and outer lines may lead to uneven tension distribution. Within the range of calculation conditions considered in this study, the four-inclined arrangement exhibits stronger adaptability to severe wave-current environments; under moderate wave-current conditions, the two-vertical plus two-inclined arrangement achieves a good balance between response control and economic performance and can be adopted as the preferred layout.
  • WANG En-hao, ZHANG Cheng-yun, JIA Kun, XU Wan-hai
    China Journal of Highway and Transport. 2026, 39(10): 42-56. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.003
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    To reveal the dynamic responses of the pontoon-type submerged floating tunnel (PSFT) under regular waves, a 1:100-scale physical model test of an end-anchored PSFT was conducted. The model satisfied the criteria of geometric similarity, Froude number similarity, and elastic similarity. One end of the PSFT was fixed and the other end was left free. The six-degree-of-freedom (6DOF) motions of the pontoons, the accelerations of the tunnel tube, and the reaction forces at the fixed end were measured. The dynamic response features under different wave periods and wave heights were analyzed. The results show that when the wave period is T=1.3-1.4 s, close to the vertical natural period of the structure, a significant resonance amplification occurs. The 6DOF motion response amplitude operators (RAOs), tube accelerations, and reaction forces at the fixed end reach their peak values simultaneously. The 6DOF motion responses of the pontoons increase approximately linearly with the wave height within the range of experimental wave heights. Under short-period wave conditions, the horizontal and vertical displacements of the pontoons, as well as the tube acceleration responses, exhibit clear spatially asynchronous characteristics. Along the axial direction, the responses show a multi-peak distribution and phase reversals. This indicates the participation of higher-frequency response components. The higher-frequency components in the vertical response are mainly excited in the short-period wave range, whereas those in the horizontal response are pronounced in both the short-period and intermediate-period wave ranges. As the wave period increases, the structural response gradually shifts to low-order global bending vibration, and the overall motion becomes more synchronized. The maximum horizontal reaction force is approximately three times the maximum vertical reaction force. The horizontal component of the reaction forces at the fixed end reaches its maximum near the first vertical natural period of the model, while the vertical component is primarily concentrated in the short-period wave range. The reaction forces at the fixed end exhibit consistent periodic evolution with the near-end pontoon motion and tube acceleration, indicating that the reaction forces at the fixed end are mainly controlled by the local motion and inertial effects near the fixed end.
  • YI Zhuang-peng, YANG Cong, YAN Dong-huang, PAN Quan, ZENG You-yi
    China Journal of Highway and Transport. 2026, 39(10): 57-71. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.004
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    A substructure mechanical model, which can consider the stiffness of both intermediate supports and boundary constraints, for the submerged floating tunnel (SFT) was established on the discrete/integrated technique, and the vehicle responses were analyzed. For the three types of anchoring forms for the SFT, i.e., the pontoon-type, tether-type and pier-type, the supporting stiffness of the pontoon was simulated by uniform water-spring, the supporting stiffness of the tether was determined on the principle that the static force of tether is equal to the net buoyancy of the tube within supporting range, and the supporting stiffness of the pier was considere d by using the vertical line stiffness. Based on the actual foundation stiffness of the seabed in the sea area where the SFT can be built, the constraint stiffness of the seabed to the tube at end part was determined, by considering the soil around the end tube section, the connection method and the constraint of the connected buried tunnel. The setting range s of two types of stiffness with discontinuous and non-uniform characteristics throughout the entire span were analyzed. The distribution laws of the responses under various combinations of the two types of stiffness and the number of segments representing the total length of the SFT were studied. The sensitive ranges of the two types of supporting stiffness were obtained. The analysis results show that in the intermediate-span part (i.e., twice the sub- span away from end) the envelope diagrams of the displacement, rotation angle, bending moment and shear within each sub-span have similar distribution characteristics, mainly influenced by the intermediate supporting stiffness. In the boundary influencing range (i.e., within twice the sub-span length from the ends), the responses are significantly affected by the boundary stiffness, and the envelope values of various responses increase or decrease as they increase.
  • PAN Wen-bo, ZHANG Rui, ZHAO Li-gong, XIE Ming-xiao, YANG Zhi-wen, WEI Yan-jie
    China Journal of Highway and Transport. 2026, 39(10): 72-88. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.005
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    The submerged depth of a Submerged Floating Tunnel (SFT) is a critical design parameter that significantly influences its dynamic response. Existing studies have primarily focused on the effect of absolute submerged depth, yet a comprehensive analysis framework that simultaneously couples environmental loads (wave height and period), structural characteristics (natural frequency and dimensions), and geometric configuration (submergence depth) remains lacking. This study systematically investigates the coupled control mechanisms of key dimensionless parameters-including relative submerged depth (ratio of submerged depth to wavelength), relative period (ratio of wave period to SFT natural period), relative wave height (ratio of significant wave height to submerged depth), and the Keulegan-Carpenter (KC) number-on the dynamic response of a two-dimensional SFT through physical model tests. The results reveal that: A threshold for optimal relative submerged depth exists; when the relative submerged depth d0/LP≥0.15, both the motion response and mooring tension of the SFT are significantly reduced and become insensitive to variations in wave period. This threshold is only observed under relatively large wave height conditions (HS/d0=0.2), indicating a coupled dependence between optimal submerged depth and wave intensity. The KC number evaluated at the tube center serves as a comprehensive indicator, with the optimal condition corresponding to KC number ≤ 0.8. Extreme waves (freak waves) induce a pronounced amplification effect on acceleration response; even under moderate sea states with HS/d0=0.1, the maximum horizontal acceleration can reach 0.25g-0.37g, far exceeding the safety thresholds for transportation engineering (typically 0.1g-0.2g). Based on these findings, a submerged depth design framework is proposed, characterized by multi-parameter coupling, quantitative thresholds, and consideration of both normal and extreme sea states. This framework provides theoretical foundations and engineering tools for performance-based design of SFTs.
  • HUANG Bo, LUO Wen-long, LI Ke, AN Qi-qi, CUI Cheng, HAN Lin-zhong, CHENG Liang, ZHONG Dan
    China Journal of Highway and Transport. 2026, 39(10): 89-106. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.006
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    In complex marine environments, the dynamic response of submerged floating tunnel (SFT) tubes under wave loads shows significant complexity. Currently, the estimation of wave loads on long-span SFTs commonly adopts the Morison equation. This equation is simple in form and easy to apply. However, it has difficulty estimating the moment generated by waves at the centroid of the tube cross-section. It also does not fully consider the influence of seabed terrains on wave loads. To reveal the influence mechanism of wave-induced moments on the tube cross-section and seabed terrains on the dynamic response of long-span SFTs, this study proposed a two-way fluid-structure interaction (FSI) time-domain calculation method for the long-span SFT system under complex marine dynamic and seabed terrains. This method treats the tube as an Euler-Bernoulli beam, establishes its motion control equation using Hamilton's principle, solves it via the mode superposition method, and constructs a coupled time-domain calculation and analysis framework for the tube's dynamic response and external load system using the Newmark-β method. Meanwhile, based on potential flow theory and the boundary element method, a 2D numerical wave flume model was established at several control cross-sections of the tube. The wave loads at the control cross-sections (including the wave moment at the cross-section centroid) were obtained through solution, and the wave load distribution across the entire span of the tunnel was calculated using the interpolation method. Subsequently, based on the aforementioned method, this study conducted an analysis of the SFT's dynamic response under linear wave environments. It focused on investigating four tube cross-section forms and four ideal topographic conditions, and compared the results with those calculated by the Morison equation. The results show that the wave moment generated by the wave field on the tube cross-section and changes in seabed topography may significantly affect the dynamic response of the SFT in wave environments. Compared with the traditional Morison equation, the method proposed in this paper has better applicability and accuracy in fluid-structure interaction calculations under complex marine conditions.
  • Special Column on Catastrophe Theory and Prevention & Control Technology for Soft Rock Tunnel
  • ZHANG Yan-bo, CHE Meng-zhen, YAO Xu-long, YAN Shao-hong, LI Xiao-dong
    China Journal of Highway and Transport. 2026, 39(10): 107-118. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.007
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    The rockburst development process exhibits obvious stage-transition characteristics. Among the evolution stages, the particle ejection phase is a physical turning point from damage accumulation to macroscopic instability and represents a critical transitional stage in rockburst acoustic emission (AE) stage recognition. However, as this phase lies between the quiet phase and the severe failure phase, its AE signals contain both low-activity baseline features and transient local energy enhancement, resulting in strong feature overlap with adjacent stages and making it highly prone to misclassification in existing intelligent recognition systems. To address this problem, a rockburst AE evolution stage recognition model integrating a convolutional neural network (CNN), bidirectional long short-term memory network (BiLSTM), and temporal attention mechanism, namely CNN-BiLSTM-Tem, is proposed. The model aims to reduce the influence of feature overlap between adjacent stages by extracting local mutation features and modeling long-term evolutionary patterns. Specifically, CNN is used to capture local high-frequency anomalies, BiLSTM is employed to model bidirectional temporal dependencies, and the temporal attention mechanism adaptively enhances the weights of key evolutionary segments, thereby suppressing baseline interference and improving the representation capability for non-stationary transitional features. Experimental results show that the proposed model achieves an average accuracy of 87.8% in the three-stage recognition of the quiet phase, particle ejection phase, and flake spalling phase, which is 8.0%, 6.0%, and 5.4% higher than those of conventional CNN, recurrent neural network (RNN), and BiLSTM models, respectively. The recognition rate of the easily misclassified particle ejection phase is improved from 69.3% to 85.9%, effectively alleviating the recognition difficulty caused by feature overlap in the transition interval. The proposed method can provide a methodological reference for stage recognition and risk-state discrimination in rockburst AE monitoring.
  • ZHAO Ming-zhu, ZHANG Ding-li, WU Xue-zhen, WANG Gang, JIANG Yu-jing, SUN Zhen-yu
    China Journal of Highway and Transport. 2026, 39(10): 119-128. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.008
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    Controlling large deformations and dynamic hazards in surrounding rock represents a critical challenge in deep underground engineering that urgently needs to be addressed. To overcome the technical limitations of conventional support structures in which stiffness and strength cannot be adjusted, a novel stiffness-adaptive energy-absorbing cable was developed. This cable allows both support resistance and stiffness to be custom-designed and dynamically adjusted in response to surrounding rock deformation. Based on the stiffness adjustment mechanism, two types of cables were designed: constant-stiffness and variable-stiffness. Quasi-static compression tests and drop hammer impact tests were conducted to investigate the stiffness-adaptive behavior and impact resistance. The test results demonstrate that the stiffness-adaptive energy-absorbing cable enables simultaneous control over both support resistance and stiffness, with both quantities capable of increasing of either linearly or curvilinearly. It actively adapts to the deformation characteristics of surrounding rock and accurately controls the development of large deformations. For the constant-stiffness type, support resistance can increase linearly in any form within the range of 0-320 kN, and stiffness can be set to any constant value in the range of 0.20-5.04 kN·mm-1. For the variable-stiffness type, support resistance increases curvilinearly within the range of 300-585 kN, while the stiffness can follow various increasing paths within the range of 0-9.00 kN·mm-1. Under static loading, the stiffness-adaptive component exhibits high energy absorption efficiency, with specific energy absorption reaching 408.2 kJ·m-1. Under impact loading, it demonstrates excellent buffering and energy-absorbing characteristics, effectively controls the peak impact force, and absorbs 31.8 kJ of energy in a single impact. Stable mechanical performance is maintained across all loading conditions tested. The stiffness-adaptive energy-absorbing cable offers a new technical approach for surrounding rock stability control in deep underground engineering, particularly for support under complex geological conditions, and demonstrates significant potential for engineering application.
  • YIN Qian, SU Yang-yang, TAO Zhi-gang, ZHU Qiang, REN Shu-lin, HE Man-chao, LI Zhao-bo
    China Journal of Highway and Transport. 2026, 39(10): 129-145. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.009
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    To investigate the shear mechanical behavior of granular-infilled joints, rock specimens with realistic joint morphologies were prepared based on field-extracted joint profiles via linear extrusion and numerical control (NC) engraving techniques. Using crushed rocks of varying strengths as infill materials, a series of direct shear tests under constant normal load (CNL) conditions were conducted. This study systematically investigated the effects of infill degree (t/a), joint roughness coefficient (JRC), crushed rock-joint wall strength ratio (SR), and normal stress (σn) on the shear mechanical behavior, acoustic emission (AE) response characteristics, and particle breakage evolution. The results indicate that the infill degree has a significant nonlinear weakening effect on the joint shear strength; once a critical infill degree is exceeded, the shear mechanism becomes dominated by the frictional sliding of the infill materials. Conversely, increases in normal stress, roughness, and strength ratio significantly enhance the shear strength of the specimens. The evolution of normal displacement, combined with AE response characteristics, reveals that the movement and wear of the crushed rock particles are primarily concentrated in the pre-peak shear stage. Furthermore, the failure mode is controlled by multiple factors: particle crushing dominates under conditions of low infill degree, high normal stress, high roughness, and low particle strength. With a thicker infill layer and higher particle strength, the failure mode gradually transitions toward particle frictional sliding. Additionally, the fractal dimension of the post-shear crushed particles exhibits a significant positive correlation with joint roughness and normal stress, but a negative correlation with infill degree and particle strength ratio. Ultimately, this study concludes that the essence of shear failure in granular-infilled joints is a mechanical transition from the geometric interlocking of the joint to a state dominated by the frictional flow of the infill layer.
  • LIU Peng, XIE Lian-ku, SONG Yi-meng, WANG Jiong
    China Journal of Highway and Transport. 2026, 39(10): 146-158. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.010
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    Existing theories for rock masses supported by NPR bolts usually simplify the plastic stage of the bolt as an ideal constant-resistance plateau. This simplification makes it difficult to reflect the sliding-stick-slip behavior of the NPR bolt and the subsequent periodic stick-slip behavior. To address this issue, a time-dependent constitutive model was established for a reinforced rock unit anchored by an NPR bolt. The surrounding rock was treated as a generalized Kelvin body. The NPR bolt was treated as a support unit composed of an elastic element and a stick-slip structure connected in series. A general governing equation for the anchored rock unit was then established according to the parallel law. On this basis, for two typical boundary conditions, namely a suddenly applied constant stress and sudden unloading, the stress-time, strain-time, and stress-strain relations were derived in stages for the initial stage, the sliding stage, the stick-slip stage, and the subsequent periodic stick-slip stage. In addition, a slip-trigger criterion, a first-slip time factor, and a post-unloading residual strain factor were introduced. The effects of external load level, bolt stiffness, the viscoelastic parameters of the rock mass, and the stick-slip history on the response characteristics of the NPR-bolted rock mass were analyzed systematically. The results show that the anchored rock unit exhibits three types of response under a suddenly applied stress: non-slip response, delayed-slip response, and instantaneous-slip response. The first-slip time depends on the position of the NPR-bolted rock mass relative to the instantaneous-slip boundary and the delayed-slip boundary. When unloading occurs during the stick-slip stage, the NPR-bolted rock mass retains a long-term residual strain related to the stick-slip stage number and the stress-drop amplitude in a single cycle. Field-case validation shows that the model describes well the time-dependent evolution of roof displacement, sidewall displacement, and the axial forces of the corresponding constant-resistance cables. The coefficients of determination for roof displacement, sidewall displacement, roof cable axial force, and sidewall cable axial force are 0.995 5, 0.989 4, 0.967 1, and 0.932 5, respectively. The results provide a theoretical reference for the analysis of time-dependent response and parameter design of rock masses supported by NPR bolts.
  • XIAO Ying-ming, CAI Tie-hong, HE Man-chao, LEI Ming-feng, YU Chang-yi, TAO Zhi-gang
    China Journal of Highway and Transport. 2026, 39(10): 159-172. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.011
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    Long and deeply buried tunnels often pass through complex and highly variable strata. Under different geological conditions, the stress responses and failure modes of surrounding rocks may differ significantly, leading to various forms of geological disasters. To investigate the acoustic emission characteristics and failure precursor patterns of rocks with different lithologies, uniaxial compression tests were conducted on marble, red sandstone, yellow sandstone, limestone, and granite specimens obtained from a tunnel project. Their stress-strain curves, energy evolution characteristics, and acoustic emission features were analyzed. The effects of different calculation parameters for critical slowing down on rock failure precursor characteristics were systematically compared. The results show that, when acoustic emission counts were used as the calculation parameter, the critical slowing down phenomenon was significant only in granite; when dissipated energy was used as the calculation parameter, all types of rocks exhibited evident critical slowing down characteristics. Compared with the autocorrelation coefficient, the variance curve showed clearer abrupt-change characteristics, was less affected by curve fluctuation interference, and had better stability in identifying failure precursors. Among the tested rocks, granite showed the best early-warning performance, with a warning issued 64 s before failure. In contrast, marble, red sandstone, yellow sandstone, and limestone provided only approximately 13 s, 19 s, 17 s, and 21 s of early-warning lead time, respectively. The research findings can provide certain theoretical support for the identification of instability precursors in rocks of different lithologies and for disaster warning efforts concerning the surrounding rock of deep-buried tunnels.
  • SHI Fu-kun, SUN Xiao-ming, ZHANG Tong, FENG Zi-yang, DING Peng
    China Journal of Highway and Transport. 2026, 39(10): 173-187. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.012
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    Under the combined effects of water-rock interaction and engineering disturbance, the nonlinear mechanical damage and failure of tunnel surrounding rock is one of the important factors restricting the project progress. On this basis, relying on the red-bed sandstone strata and geological characteristics of the Central Yunnan Water Diversion Project, this study conducts water absorption tests, cyclic loading-unloading uniaxial and triaxial mechanical tests, derivation of a cyclic loading-unloading damage constitutive model, and field application. The following research progress has been achieved: ① Considering the damage degree of red sandstone under different water content states, the values of cohesion (C) and internal friction angle (Φ) that account for the influence of moisture content are derived. Furthermore, a water-damage constitutive model under cyclic loading and unloading is established. ② The fracture flow module of the UDEC software is used to simulate the grout diffusion process of double-gradient grouting. The results reveal the interaction mechanism between the grout and the surrounding rock mass under the double-gradient grouting technique, demonstrating that this technique effectively improves the mechanical properties of the surrounding rock. ③ By adopting the coordinated control of long and short NPR anchor cables, numerical simulations are performed to compare and analyze the deformation behavior of the surrounding rock, fracture distribution characteristics, and stress distributions on anchor cables and steel arches under ordinary support and excavation compensation support conditions. After implementing excavation compensation support, the overall stress on the surrounding rock becomes more uniform, and stress concentration phenomena are alleviated. ④ Through field industrial tests and data monitoring, the combined support method of double-gradient grouting and long-short NPR anchor cables achieves effective control of the deformation of the tunnel surrounding rock.
  • Pavement Engineering
  • YANG Xu, JING Jia-yu, FENG Xu, CHENG Hang, WANG Hai-nian
    China Journal of Highway and Transport. 2026, 39(10): 188-203. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.013
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    Automated pavement distress detection plays a vital role in improving efficiency, reducing labor costs, and ensuring road safety. In recent years, although numerous studies have focused on enhancing accuracy and optimizing models-driving rapid technological advancement in a short period-these developments exhibit the typical characteristics of the “long-tail effect”: active research and abundant results, yet largely confined to theoretical validation or laboratory environments. As a result, highly adaptable, robust, and deployable solutions suitable for complex engineering scenarios remain scarce, limiting large-scale real-world applications. To address this, the present study proposes an efficient pavement distress detection method based on a mixture-of-experts (MoE) network architecture, strictly aligned with current industry standards. The approach aims to enhance detection accuracy, inference speed, and engineering adaptability to enable scalable, automated pavement inspection. The method innovatively integrates three complementary subnetworks-YOLO, U-Net, and LiteSeg. Through the introduction of a gating mechanism, the model dynamically adjusts the weighting and inference paths of expert networks based on the feature distribution of the input image, ensuring optimal detection strategies across varying distress types and complex environments. The dataset comprises 15 000 diverse pavement images from multiple pavement ages and conditions, covering eight typical distress categories, including linear patching, cracks, potholes, and alligator cracking. A dynamic training strategy combined with hard negative mining is adopted to enhance robustness under challenging conditions such as complex lighting, texture interference, and sparse distress backgrounds. Experimental results demonstrate an F1-score of 93.4 and an inference speed of 30.6 FPS in real highway tests. On consumer-grade PCs, the model achieves real-time processing speeds exceeding 110 kilometers of lane per hour, outperforming mainstream models in both accuracy and speed. Moreover, the model outputs a standardized grid format that enables automated calculation of the Pavement Condition Index (PCI), facilitating structured and standardized representation of detection results and improving interpretability and engineering applicability. Comparative analysis of PCI calculations indicates that the model accurately captures distress trends across various road conditions and distress types, with absolute PCI errors controlled within 1, closely matching manual annotations. Multi-region road tests further validate the model's transferability and confirm its practical potential in real-world road maintenance applications.
  • KUANG Dong-liang, KANG Bing-duo, CHEN Hua-xin, WU Yong-chang, QI Cong, HAN Shan-jian, ZHANG Hong-gang
    China Journal of Highway and Transport. 2026, 39(10): 204-217. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.014
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    To address the phase separation issues in crumb rubber modified asphalt (CRMA), a mechanochemical method was employed to controllably degrade the sulfur crosslinked structure of waste crumb rubber. This study systematically investigates the mechanisms by which rubber de-crosslinking influences viscosity reduction and anti-segregation behavior of modified asphalt, aiming to promote the efficient reuse of waste rubber in road engineering applications. By analyzing the effects of de-crosslinking agent dosage on the micro-morphology and chemical structure of crumb rubber, the degradation mechanism of the crosslinked network and its interfacial compatibility regulation with asphalt were elucidated. Furthermore, the evolution of high- and low-temperature rheological properties of modified asphalt was evaluated. Results indicate that under mechanical force, the de-crosslinking agent induces the cleavage of S—Sx and C—S bonds in rubber, breaking the crosslinked network into active molecular segments and transforming the surface morphology from compact to porous. At a de-crosslinking agent dosage of 3%, the functional group index and relative content of surface crosslinked bonds decrease by 2.3% and 45.7%, respectively, indicating the most effective de-crosslinking. These active segments form chemical bonds with polar asphalt components, strengthening the interfacial interaction, thereby reducing the softening point difference by 67.1%, lowering the Brookfield viscosity at 135 ℃ by 71.9%, and significantly broadening the “plateau region” of the phase angle master curve, indicating improved viscoelastic behavior. The enhanced interfacial compatibility of the de-crosslinking CRMA also improves its high-temperature rheological performance and reduces temperature sensitivity. Principal component analysis (PCA) confirms that CRMA with 3% de-crosslinking agent exhibited optimal comprehensive performance in terms of storage stability, high-temperature stability, and low-temperature flexibility. This study provides theoretical and methodological support for improving compatibility and optimizing construction performance of rubber-modified asphalt.
  • ZHU Guang, GU Chen, SHI Yan-qiong, LIU Meng-yang, XIE Jin-hong
    China Journal of Highway and Transport. 2026, 39(10): 218-236. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.015
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    Road crack detection is vital for traffic safety and road maintenance. However, existing detection models often fail to balance accuracy and efficiency due to complex backgrounds and low contrast. To solve this, we proposed a lightweight improved model WLS-YOLO based on YOLOv11n. It enhanced detection accuracy while reducing computational cost . First, we introduced lightweight wavelet pooling (Waveletpool) to replace the CBS (ConvBNSiLU) downsampling layer. It utilized the frequency separation property of discrete wavelet transform. This separated and preserved both low-frequency and high-frequency information in images. It improved the model's ability to capture crack edges and details. Second, we designed the LightGhost Mixed Aggregation Module (LGMA). It combined 1×1 bypass convolution, DSConv and SG-C2f. It cooperatively optimized channel feature adjustment, spatial feature processing and multi-scale feature fusion. This enhanced the model's crack feature extraction capability. Finally, we proposed the Shared Branch-EfficientHead. It built a single-branch feature processing architecture. This reduced redundant computations in the network. It improved the model's detection efficiency. Experimental results showed WLS-YOLO's parameters and computations decreased to 2.08M and 4.4G. Compared with YOLOv11n, these represented reductions of 19.4% and 30.2%. On Chinese road datasets RDD2022 and UAV-PDD2023, it achieved mAP@0.5 of 88.2% and 84.7%. These were 2.2% and 3.5% higher than YOLOv11n respectively. It achieved an effective balance between detection accuracy and computational efficiency. It outperformed mainstream object detection models. Moreover, WLS-YOLO demonstrated outstanding generalization performance. On road crack datasets from Czechia, India and Japan, it achieved mAP@0.5 improvements of 4.7%, 1.8% and 0.6% over YOLOv11n respectively.
  • LI Zi-xiang, HAN Yu-chen, CAI Hai-bing, XIE Wei-shuai, ZHANG Guang-dong
    China Journal of Highway and Transport. 2026, 39(10): 237-250. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.016
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    Aiming at the problem that traditional visual technologies rely on light sources and cause false negatives or missed detections when detecting pavement cracks under extreme dark environments, this study proposed a detection method based on tactile bionic technology and constructed a detection system integrating a tactile probe, multi-light-source imaging system, and intelligent inspection platform. The tactile probe with a two-component silicone rubber and aluminum powder coating captured optical signals of contact deformation through a three-color LED ring light source. The Lambertian reflection model and Poisson equation were used to reconstruct tactile images containing crack texture features. To achieve efficient extraction of crack features, TSPC-Net (Tactile segmentation of pavement cracks-Net) was proposed, which fused residual depthwise separable blocks (RDS), channel-spatial serial fusion blocks (CSSF), and an improved atrous spatial pyramid pooling module (ASPP+). Multi-scale convolution operations enhanced the ability to capture crack contours, branches, and fine textures. A pavement crack tactile image dataset was constructed to train the model. Ablation experiments show that the accuracy (ACC) increases by 0.6% with the addition of the RDS block, and a further 0.7% improvement is achieved by adding the CSSF block, demonstrating that the designed modules strengthen the network's feature extraction capability. The complete model achieves an Accuracy (ACC) of 0.841 and an Intersection over Union (IoU) of 0.829, significantly outperforming traditional visual models such as U-Net and Segformer, which proves that the proposed network performs more efficiently and accurately in crack contour segmentation. This study provides a new technical path for road detection in dark environments.
  • Subgrade Engineering
  • ZHANG Jun-hui, WANG Yu, TANG Yu-xiang, GU Fan, WANG Xu-fu
    China Journal of Highway and Transport. 2026, 39(10): 251-264. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.017
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    Given the extensive distribution of soft soil, high demand for highway construction, accumulation of construction spoil, and abundant seawater resources within the Greater Bay Area, this study proposes the synergistic use of thermally-activated construction spoil (TCS)and seawater to prepare green foam lightweight soil. The effects of replacing cement with TCS and mixing with seawater on the material properties were systematically studied, including fresh state (fluidity, rheological behavior, setting time, and defoaming rate)and hardened state (compressive strength, water stability, water transport, mineral composition, and pore structure). The results show that incorporating TCS and mixing with seawater reduce the workability of fresh mixture, shorten the setting time, and increase the yield stress and plastic viscosity by about 76.9% and 73.8% respectively, thereby improving foam stability. An appropriate amount of TCS facilitates the formation of a uniform closed small-pore structure, thus enhancing the mechanical properties and water resistance of foam lightweight soil. The pozzolanic reaction in heat-activated construction spoil produces more C—(A)—S—H, which densifies the pore walls and optimizes the pore structure, resulting in maximum increases of 63% and 33.3% in compressive strength and softening coefficient, respectively, and a maximum reduction of approximately 45.6% in the capillary absorption coefficient. The developed technology significantly improves the performance of foam lightweight soil, and the prepared material meets the requirements of subgrade strength and water resistance. Moreover, it can massively consume spoil, save cement and freshwater resources, and realize b alanced performance and economic demonstrating great potential for constructing subgrades with high groundwater levels in soft soil areas of the Greater Bay Area.
  • ZHANG Ling, LIU Zhong-shu, CHEN Yun-hao, LUO Biao, LIU Chang-jie
    China Journal of Highway and Transport. 2026, 39(10): 265-275. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.018
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    This study aims to clarify the dynamic behavior of coarse-grained soil under penetrating erosion and its intrinsic coupling with mesostructure evolution. Cyclic triaxial tests combined with X-ray CT scanning were conducted to investigate the dynamic property changes of moderately to highly weathered mudstone coarse-grained soils subjected to different erosion intensities. The effects of penetrating erosion intensity p0, cyclic deviatoric stress σcyc, loading frequency f, and confining pressure σ3 on the resilient modulus Ed, damping ratio λ, and cumulative plastic deformation εp have been explored. Three-dimensional pore reconstruction was performed and two-dimensional pore feature parameters were extracted. The results indicate that: The slope of the hysteresis loops increases while the enclosed area decreases during cyclic loading, with the curves tending toward linearity in the later stages. The resilient modulus Ed exhibits a negative correlation with penetrating intensity p0 (e.g., as p0 increases from 0 to 70 kPa, Ed decreases from 82.69 kPa to 51.88 kPa), but a positive correlation with f, σcyc, and σ3. The damping ratio λ increases with p0 and decreases with fand σ3. It first decreases and then slightly increases with increasing σcyc. The cumulative plastic strain εp is positively correlated with p0, f, and σcyc (e.g., when f=5 Hz and σcyc=100 kPa, the strain amplitude εpmax increases by 587.2% and 764.2% respectively as p0 increases from 0 to 70 kPa), but negatively correlated with σ3. Penetrating erosion generates interconnected pore channels within the specimen, markedly increasing porosity and particle heterogeneity, and the seepage paths expanded and exhibited more complex morphological characteristics. Although cyclic loading densifies the specimen(i.e., reduces the void ratio e), the maximum void volume Vm continues to expand. Simultaneously, the form factor F increased, while the fractal dimension D decreased, indicating a transition toward more regular pore morphology and distribution. The mesoscopic pore parameters, including e, Vm, and D, exhibit a significant negative correlation with the rebound modulus amplitude Edmax, and a significant positive correlation with stable value of damping ratio λst and plastic strain amplitude εpmax. In contrast, the form factor Fshows a significant positive correlation with Edmax, and a significant negative correlation with λst and εpmax. The coefficients ηe and ηVm demonstrate strong correlations with the macroscopic mechanical properties, followed by ηF, whereas ηD displays relatively weak correlations with the macroscopic parameters.
  • REN Dao-ju, ZHENG Hao, SI Jun-ling, QUAN Lei, ZHANG Zi-yi
    China Journal of Highway and Transport. 2026, 39(10): 276-286. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.019
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    During road design, construction, and maintenance, the resilient modulus is an important indicator of the dynamic mechanical response of subgrade soils. Natural subgrade soils are typically in an unsaturated state, and their resilient modulus is affected by matric suction and the wetting-drying path. Existing resilient modulus predictive models insufficiently account for the suction hysteresis effect, which may lead to deviations in resilient modulus prediction. In this study, unsaturated dynamic triaxial tests were conducted on two natural sandy soils with distinct water retention capacities to obtain resilient moduli under different wetting/drying paths. The results revealed that the resilient moduli under drying paths were higher than those under wetting paths at the same matric suction. Subsequently, by incorporating Bishop's effective stress factor and its estimation model and coupling them with mainstream unsaturated resilient modulus predictive models, modified predictive models based on suction stress were proposed. By randomly dividing the test data into an 80% fitting dataset and a 20% validation dataset, the model parameters were obtained from the fitting dataset, and the generalizability of the models was evaluated using the validation dataset. Then, the predictive performance of different model combinations was compared. The results indicate that the resilient modulus is positively correlated with confining pressure and matric suction, but negatively correlated with deviatoric stress. At the same matric suction, the resilient modulus differs between different wetting and drying paths, which is mainly attributed to differences in degree of saturation caused by suction hysteresis and can be explained by the effective stress principle. Based on the overall fitting and validation results, the combination of the modified Ng resilient modulus predictive model and the K&K effective stress coefficient estimation model provides the best prediction performance. This combination can effectively account for the influence of suction hysteresis on the resilient modulus under different wetting and drying conditions, and can provide a reference for predicting the resilient modulus of unsaturated subgrade soils and for the design and maintenance of subgrades under different hydraulic conditions.
  • Bridge Engineering
  • ZHU Yan-jie, LIU Fei-hong, ZHANG Bei-yang, XIONG Wen, FU Yi-xiao
    China Journal of Highway and Transport. 2026, 39(10): 287-298. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.020
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    As cable-stayed bridges age, replacing degraded cables has become essential for long-term durability. However, the deterioration mechanisms in older bridges remain unclear, and current models lack precision. Few studies address the safety management of full cable replacement. This paper proposes an integrated method for simulating and optimizing cable group replacement in in-service cable-stayed bridges, combining numerical simulation, safety evaluation, and strategy optimization. A simplified finite element model is first developed using measured cable forces and bridge alignment. To improve accuracy, an enhanced NSGA-Ⅱ multi-objective correction method incorporates monitoring data from pilot cable replacements, refining the bridge-wide model. A safety framework is then established by analyzing three key variables: cable force redistribution, girder displacement, and pylon deviation-combined into a Comprehensive Influence Index (CII). A spatially-constrained K-means algorithm is used to zone cables based on impact, revealing how individual cable removal affects the whole system. Weight transfer patterns across variables during multi-cable replacement are captured using a nonlinear normalization and dynamic entropy method, leading to an optimized replacement strategy. A case study on a large-span bridge shows the simplified model reflects actual conditions with<3% cable force error and ±5 mm alignment deviation. After correction, model errors fall below 10%. The bridge's 25 cable pairs are grouped into high-, medium-, and low-impact zones. Cables No. 13-17 show broad influence and fall into the high-impact zone, beyond what length alone predicts. A phased replacement plan is then proposed: a pair of cables per cycle in the high-impact zone (CII= 0.242±0.026), two pairs in the medium zone (CII= 0.273±0.044), and four pairs in the low zone (CII= 0.226±0.089). ANOVA results (p=0.15) confirm no significant CII differences between zones, indicating controlled global risk. This study offers practical and theoretical guidance for full-cable replacement in cable-stayed bridges.
  • DENG Ji-hua, TAN Jian-ping, LUO Ji-hua, TIAN Zhong-chu, SHAO Xu-dong
    China Journal of Highway and Transport. 2026, 39(10): 299-309. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.021
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    Aiming at the geometric and mechanical characteristics of UHPC slab and steel beam in steel-UHPC composite beam, they are simulated by Euler-Bernoulli beam and Timoshenko beam respectively. Based on the basic differential equations of elastic mechanics and using the direct stiffness method, a new finite element model of steel-UHPC composite beam considering interface slip is studied. Then, combined with the initial strain method for shrinkage and creep analysis, the finite element formulation of steel-UHPC composite beam element considering the influence of shrinkage and creep effects is constructed, and the corresponding program is developed. The long-term deflection of steel-non-steam-cured UHPC composite beam under shrinkage and creep is studied. The results show that, for simply supported beams with common span-depth ratios, the calculation accuracy of this model is comparable to that of the double-layer Timoshenko method. When the span-depth ratio decreases, the deflection results of the double-layer Euler-Bernoulli method and the ANSYS three-dimensional solid element method deviate significantly (for example, when the span-depth ratio is 4, the deviation of the double-layer Euler-Bernoulli method compared with the double-layer Timoshenko analytical solution is 5.90%-31.67%, and the deviation of the ANSYS three-dimensional solid element method compared with the double-layer Timoshenko analytical solution is 0.26%-5.83%). The maximum deviation of the long-term deflection increase value between the model considering shrinkage and creep in this paper and the ANSYS method is 8.3%. Under the combined action of shrinkage and creep, the ratio of long-term deflection to instantaneous elastic deflection is significantly affected by the interface shear stiffness ksu and the thickness of UHPC slab. The research results can provide a reference for the long-term performance design of steel-UHPC composite beams.
  • HUANG Fu-yun, QIU Jing-wen, YING Bo-xue, XUE Jun-qing, HE Ling-feng
    China Journal of Highway and Transport. 2026, 39(10): 310-322. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.022
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    To address the deformation challenges posed by temperature variations, enhance the safety and durability of bridge structures, and minimize maintenance requirements, a novel bridge link slab-semi-continuous UHPC link slab, rooted in the concept of deformation design was proposed. Taking this link slab as the research subject, a quasi-static experimental investigation was conducted to evaluate its behavior under temperature-induced expansion and contraction effects. The results indicate that, under the reciprocating displacement load, there is no obvious damage to the semi-continuous UHPC connection link slab, and the integrity of the specimen is better and the deformation absorption capacity is stronger after debonding the steel bar in the slab. The comparison of the test shows that the elastic deformation of the traditional UHPC link slab is only 20.2% of that of the new link slab; the design of longitudinal steel bar with waveform can significantly reduce its stress under reciprocating displacement loading, and this effect is more obvious after debonding longitudinal steel bar. The study also shows that the debonding treatment can effectively improve the deformation coordination of each expansion joint and make the overall stability of the specimen better and the amount of telescopic deformation larger.
  • HUANG Yi-jie, MA Ya-hong, XU Dong-fang, LIANG Jia-rong
    China Journal of Highway and Transport. 2026, 39(10): 323-336. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.023
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    Seawater coral aggregate concrete (SCAC) filled glass fiber reinforced polymer (GFRP) tube members have a great potential in bridge engineering and infrastructure construction of offshore reefs. This study investigated the seismic behavior of SCAC filled GFRP columns (SCACGC). The seismic responses of the columns were systematically evaluated using low-frequency cyclic lateral loading test and theoretical analysis. A total of eight columns, considering four different parameters-the type of concrete, epoxy-coated reinforcement (ECR) ratio,axial load ratio and shear-span ratio-were fabricated. The failure model, bearing capacity, ductility, hysteretic energy and equivalent viscous damping ratio of the SCACGC were studied. The test results indicate that the failure pattern of SCACGC is similar to that of ordinary concrete filled GFRP tube columns (OCGC). The addition of coral aggregate leads to a decrease in the ductility and energy capacity of the specimens by 5.4% and 5.7% respectively. However, the bearing capacity of SCACGC is slightly improved after using seawater and sea-sand (1.3%). In general, the ductility and hysteretic energy of SCACGC increase with increasing ECR ratio. It is also obtained that the axial load ratio had significant influences on characteristics of hysteresis curves, and the decline of skeleton curve become steep as axial load ratio increased. The ultimate displacement enhance and bearing capacity decrease with increasing shear-span ratio. Finally, the skeleton curve model and seismic damage assessment model of SCACGC are established, which can quantitatively reveal the evolutions of seismic behavior and damage of this novel composite structure during the whole loading period.
  • ZHENG Zhi, YUAN Pei, GENG Bo, SHI Kang, WANG Jun-jie, FENG Xia
    China Journal of Highway and Transport. 2026, 39(10): 337-355. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.024
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    In recent years, frequent ship-bridge collision accidents both domestically and internationally have resulted in significant casualties and economic losses. Anti-collision protection for bridge piers is therefore crucial, leading to the development of various types of protective devices. Among these, Glass Fiber Reinforced Polymer (GFRP) has been widely applied in bridge anti-collision protection engineering due to its characteristics of being lightweight, having high strength, and being corrosion-resistant. However, debates persist regarding its buffering and energy dissipation performance, as well as its applicable protection energy range. To accurately evaluate the performance of such protective devices, this study first prepared GFRP specimens to conduct basic material property tests based on the composite material damage constitutive model. This enabled the calibration of constitutive parameters for a GFRP material damage model, establishing a detailed simulation method that strikes a balance between accuracy and computational efficiency. The validity of this method was verified through quasi-static crushing performance tests and impact crushing tests on the energy-absorbing components within the anti-collision device. A comparison of two commonly used damage models was also conducted. Finally, the protective performance of a full-scale composite crashworthy device was evaluated using a validated numerical model. The results show that utilizing the damage model parameters calibrated in this study enables a more accurate simulation of the impact response of the protective structure. It addresses the issue of insufficient security caused by the use of existing model parameters, which significantly underestimate the damage to the anti-collision device. Specifically, the deformation damage of this composite anti-collision box when impacted by a 3 000-ton ship is underestimated by nearly 40%. The findings of this study can serve as a reference for evaluating the low-velocity impact performance of similar structures.
  • Traffic Engineering
  • LIU Yuan-yuan, ZENG Zheng-wu, WANG Yuan-qing, LIU Nie-yang-zi, XUE Shu-qi, YU Qian
    China Journal of Highway and Transport. 2026, 39(10): 356-377. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.025
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    Within the transportation sector, highway transportation is the largest source of carbon emissions. Its emission sources are diverse and span the entire life cycle of highway infrastructure. Conventional stage-based accounting therefore provides limited support for system-wide mitigation decisions. Although life cycle assessment (LCA) has attracted widespread attention in highway decarbonization research, its methodological value has not been fully recognized because existing discussions lack an integrated systems perspective. Current applications are often limited to a single life-cycle stage or a local process. To address this gap, this study systematically reviewed and synthesized a large body of simulation-based and empirical studies. It examined the methodological strengths of LCA in supporting the low-carbon development of highway transportation and its significance for emission-reduction governance. The findings show that LCA extends the accounting boundary to the entire life cycle of highway infrastructure. It reveals the cumulative effects of carbon emissions across stages, clarifies cross-stage linkages, and identifies major emission hotspots and their interrelationships. These capabilities provide a systems perspective and an evidence base for targeted and coordinated mitigation across the full life cycle. The findings further show that LCA overcomes the limitations of conventional stage-based accounting. It captures embodied emissions that are often overlooked in highway construction, maintenance, and upstream material production. It also helps prevent system-wide burden shifting caused by measures that reduce emissions only at individual stages. LCA therefore supports mitigation across the full life cycle and contributes to the achievement of carbon-neutrality goals. This study aims to promote the transition of LCA from a tool used mainly in fragmented accounting applications to a widely recognized, system-oriented methodology for carbon management in the highway transportation sector. It also provides a theoretical reference for the green transition of highway transportation.
  • NI Ying, LUO Man, ZHAO Dong-hu
    China Journal of Highway and Transport. 2026, 39(10): 378-392. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.026
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    Autonomous driving represents a pivotal technology for future intelligent transportation systems. Efficient information interaction and intention negotiation between autonomous vehicles (AVs) and other traffic participants are crucial for traffic safety and efficiency in mixed driving environments. This research proposed an enhanced interaction framework for autonomous vehicles based on a hierarchical reinforcement learning architecture, which deeply integrated an external human-machine interface with vehicle decision-making and motion planning. The proposed strategy comprised a high-level policy and a low-level policy: the high-level policy generated interaction decisions and eHMI display decisions based on the interaction state, while the low-level policy incorporated the outputs of the high-level policy and the vehicle state to execute motion control. This dual-layer policy framework facilitated the synchronization and the consistency between the AV's explicit intention expression and implicit trajectory planning. Simulation results demonstrate that, in unsignalized intersection scenarios involving left-turn and straight-through traffic conflicts, the proposed strategy significantly outperforms baseline methods in terms of both traffic efficiency and safety, as evidenced by an 5.8%-10.8% reduction in passing time, a collision rate dropping to 0%-2%, and an average improvement of 10.6% in Post-Encroachment Time (PET) under high-risk scenarios. To further validate the effectiveness of the interaction strategy, this study conducted a human-in-the-loop driving simulation experiment. A high-fidelity intersection simulation platform was constructed, featuring three typical left-turn and straight-through interaction scenarios. Eighteen participants were recruited, and over 162 interaction episodes were collected. A comprehensive analysis was performed from multiple dimensions, including interaction efficiency, consistency between explicit and implicit intention expression, and the usefulness of the eHMI. The experimental results indicate that the proposed enhanced interaction strategy achieves significant improvements across multiple evaluation metrics, specifically reflected in a notable reduction in conflict resolution time, significant optimization of the Delta Time to Conflict Time (TTCP) at eHMI triggering moments, and a marked increase in eHMI usefulness scores.
  • YUE Hao-chuan, CHEN Peng, MA Zhi-sheng, WANG Wei
    China Journal of Highway and Transport. 2026, 39(10): 393-404. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.027
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    The Distributed Acoustic Sensing (DAS) system based on optical fibers provides a wide-range, low-cost sensing method for vehicle motion detection and tracking on highways, requiring no additional power supply. However, in practical engineering applications, DAS signals are easily interfered with by various noise sources such as environmental vibration, structural resonance, and transient impacts. These factors mask vehicle characteristic signals, make the time of arrival estimation unstable, and affect the accuracy, continuity, and reliability of trajectory reconstruction. In response to the above problems, this study propose d an algorithm ic framework for highway vehicle trajectory detection and tracking, aiming to enhance the reliability of moving target detection in complex environments. This algorithm first established a vehicle acoustic vibration propagation model and analyzed the time-frequency characteristics of the original DAS signal. It then used Variational Mode Decomposition (VMD) to adaptively decompose the multi-channel signal, extracted physically meaningful principal vibration modes to effectively suppress broadband noise and non-stationary interference, and achieved signal enhancement and feature reconstruction. On this basis, a dual-threshold detection mechanism based on signal power and zero-crossing rate was constructed to achieve vehicle passage recognition on fully fiber-optic covered sections. Finally, a vehicle motion state model was established based on the spatial domain Kalman filtering method. By utilizing the temporal correlation of multi-channel observation information, the vehicle position and speed were recursively estimated, achieving continuous trajectory reconstruction and smooth optimization across channels. Based on the actual DAS monitoring data of expressways, simulation verification and field experiment results, the proposed V-KDT algorithm outperforms existing methods. In terms of trajectory reconstruction accuracy, it reduces the root-mean-square error (RMSE) of arrival times by approximately 80.7% compared to the W-DT algorithm. Regarding velocity estimation accuracy, it achieves an approximately 84.6% reduction in velocity RMSE compared to the DT algorithm. It has good detection accuracy and robustness, and has the potential for traffic monitoring applications. This study provides an effective algorithmic approach for vehicle motion sensing and intelligent traffic monitoring based on DAS.
  • Automotive Engineering
  • WANG Fa-an, YE Ling-rui, ZHANG Zhao-guo, LIANG Jin-hao, LU Yan-bo, NIE Zhi-gen, GAO Bo-lin, PI Da-wei, YIN Guo-dong, ZHANG Fu-jie
    China Journal of Highway and Transport. 2026, 39(10): 405-420. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.028
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    Intelligent connected vehicles are increasingly operating in unstructured road environments where drivable-area perception is challenged by blurred road boundaries, severe illumination interference, and insufficient real-time segmentation performance. To address these issues, this paper presents a re-parameterized road segmentation model, termed UST-Unet, for on-vehicle deployment. We introduced a gated-fusion-based image dehazing restoration module at the network front end. We employed a multi-branch convolutional module in the encoder, which combines multi-branch convolutions with structural re-parameterization to balance complex road-texture representation capability and inference cost. We further proposed a two-stream collaborative perception module (TSC) in the decoder, where local sliding queries and global pooling queries are jointly modeled to adaptively fuse boundary details with overall topological structure. Meanwhile, we constructed a high-quality annotated dataset for unstructured roads, covering multiple road types (e.g., mountainous loess roads, gravel roads, and forest trails) and diverse weather conditions (sunny, cloudy, rainy, and foggy). Experimental results on the constructed dataset show that UST-Unet achieves an IoU of 88.07% and a precision of 94.11%, outperforming the vanilla U-Net by 12.85 and 9.95 percentage points, respectively, and exhibiting higher robustness and stability than representative segmentation networks under complex terrain, illumination variations, and vegetation occlusions. In addition, its inference speed of 10.24 FPS and parameter size of 29.29 M can meet the deployment requirements of on-vehicle edge devices for low-to-medium-speed autonomous navigation in unstructured roads, and may provide an accurate and deployment-friendly perception solution for all-terrain, all-weather autonomous mobility.
  • WANG Wu-qi, ZHENG Chun-yun, MIN Hai-gen, WU Xia, YANG Long, GUO Qing, ZHAO Xiang-mo
    China Journal of Highway and Transport. 2026, 39(10): 421-440. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.029
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    With the continuous development of intelligent vehicle technologies, complex urban environments pose increasingly stringent requirements on environmental perception and high-precision localization systems. Due to the large number of traffic participants, high structural similarity, and the susceptibility of integrated navigation systems to multipath effects in urban environments, traditional localization methods tend to suffer from insufficient robustness and degraded retrieval efficiency in such scenarios. To enhance the stability of LiDAR-based place matching in complex urban scenarios and address the challenges caused by pose variations and complex structural interference, this paper proposes a dual-descriptor collaborative-driven place re-identification method for complex urban environments. First, by leveraging the relative spatial relationships between roads and buildings, a hierarchical spatial partitioning and terrain retrieval mechanism is designed, which strengthens static structural representation while suppressing dynamic interference, while ensuring efficient retrieval. Second, to address the insufficient feature extraction caused by the low vertical resolution of LiDAR, a vertical angular segmentation and contour feature re-encoding strategy is proposed, effectively enhancing the richness of environmental representation and the stability of feature matching. Finally, considering local geometric inconsistencies induced by structural differences in urban environments, a structure-aware weighted similarity measurement method is proposed, which enhances cross-scene matching accuracy and robustness by introducing structural distribution weights. Multi-scale and multi-scenario real-vehicle experimental results demonstrate that the proposed method outperforms existing methods in terms of recognition accuracy, retrieval efficiency, and pose robustness, highlighting its effectiveness and practicality in large-scale complex urban environments.
  • LI Xun-hao, ZHANG Jian, YIN Guo-dong, QIAN Yu
    China Journal of Highway and Transport. 2026, 39(10): 441-458. https://doi.org/10.19721/j.cnki.1001-7372.2026.10.030
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    To address the limitations of existing vehicle trajectory prediction methods, which could not effectively suppress redundant spatial interactions and often ignored the causal association between spatial-temporal features and motion intentions, this paper proposed a vehicle trajectory prediction network based on adaptive sparse interaction. The network mainly consisted of a spatial-temporal encoder and a causal multi-modal decoder. In the spatial-temporal encoder, a long short-term memory network was first used to perform high-dimensional mapping and temporal relation modeling of motion features. Then, an adaptive sparse spatial interaction module based on a sparse Transformer was proposed to dynamically select key interacting vehicles and suppress the influence of redundant vehicles. After that, a bidirectional Mamba was adopted to effectively capture the temporal dependency of motion states. Finally, a cross-fusion module was applied to integrate spatial interaction features and temporal dependency representations, thereby enhancing the spatial-temporal modeling capability of traffic scenes. In the decoder, the causal multi-modal decoder established causal dependencies between motion intention features and spatial-temporal features through a bidirectional Mamba, which enabled efficient and accurate multi-modal trajectory prediction. Finally, evaluation experiments were conducted on multiple real-world datasets: NGSIM, HighD, RounD, and InD. The results show that the proposed method outperforms existing approaches in terms of root mean square error (RMSE), minimum final displacement error (minFDE), and minimum average displacement error (minADE), achieving state-of-the-art performance. In addition, the causal multi-modal decoder was transferred into several mainstream trajectory prediction models, including STDAN, WSiP, HLTP, STMF-IE, SSTT, and VCIFormer. On the NGSIM dataset, the RMSE for the 5-second prediction horizon of the aforementioned models is reduced by 56.46%, 43.66%, 55.07%, 54.55%, 45.74%, and 47.92%, respectively. Simultaneously, inference latency is significantly decreased by 41.65% to 59.69%. These significant performance gains fully validate the effectiveness and generalizability of the proposed method.