为了给Hook-turn交叉口信号配时方案设置提供理论依据,建立了交叉口直行专用车道的机动车延误计算方法;之后考虑交叉口内部待行区左转机动车发生排队上溯、未发生排队上溯2种情况,建立了直行/左转/右转共用车道的机动车期望延误模型;研究了待行区左转机动车对同相位交通流运行的影响,提出了有效利用绿灯时间的校正方法.以交叉口机动车平均延误最小为目标,以周期时长、相位绿灯时间为自变量,建立信号配时方案优化方法.采用实际交叉口数据对所建立方法进行检验,并根据Hook-turn方法设计了2种改进渠化方案;在VISSIM中采集2种改进方案、现状方案的机动车延误指标,并进行对比分析.结果表明:在优化信号配时方案下,Hook-turn方法可以减少直行机动车以及交叉口整体机动车平均延误;当左转车流量较小时,Hook-turn方法的效益显著.
Abstract
In order to provide theoretical basis for the signal timing plan at Hook-turn intersection, motor vehicle delay model for the straight lane was developed. Then with consideration of two conditions that left-turning vehicles in the waiting area of the intersection spilled over and didn't spill over, the expectation delay model of the motor vehicles for the lane shared by straight, left-turning and right-turning motor vehicles was established. The impact of left-turning vehicles in the waiting area on other traffic flows in the same phase was studied and the calibration method for effectively utilized green time was established. With minimum average motor vehicle delay as the object, and cycle length and green time as variables, the optimization method for signal timing plan was developed. The traffic data of an actual intersection were employed to validate the method. Two improved plans were developed based on the Hook-turn method. Then the motor vehicle delay indexes of the two improved plans and current plan were collected in VISSIM and the indexes of the three plans were compared for analysis. The results show that the Hook-turn method can decrease the average delay of motor vehicles in the straight lane and all motor vehicles at the intersection under the optimal signal timing plans. The benefit of Hook turn is significant when the volume of left-turning motor vehicles is small.
关键词
交通工程 /
信号控制 /
优化模型 /
左转机动车组织 /
机动车延误
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Key words
traffic engineering /
signal control /
optimization model /
left-turning motor vehicle organization /
motor vehicle delay
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中图分类号：
U491.5
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参考文献
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脚注
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基金
国家自然科学基金项目(61364019,61304198);中国博士后科学基金项目(2013M530159,2014T70351);云南省高校智能交通工程技术研究中心开放基金项目
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