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相邻交叉口短车道长度与配时参数协同优化 被引量:4

Synergistic optimization of short lane length and signal timing parameters for two adjacent intersections
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摘要 针对相邻交叉口在共有连线上均渠化左转短车道的现况,研究其时空资源的最优配置.通过分析短车道对进口道饱和流率的影响,建立以交叉口通行能力最大化与车均延误最小化为目标函数、以短车道长度和相位有效绿灯时间为决策变量的多目标优化模型.以大连市两相邻交叉口为例,通过Matlab软件对优化模型进行编程求解,进而利用VISSIM软件对现有方案和优化方案分别进行仿真试验.结果显示,优化方案虽然使每个交叉口通行能力减小,但是也使每个交叉口车均延误、饱和度和平均排队长度减少.此外,优化方案使每个交叉口通行能力与车均延误之比增大,使单位时间内通过两个交叉口的总车辆数增加.研究成果表明,交通组织与信号控制的协同优化设计可以实现交叉口群的时空资源的最优配置. The optimal configuration of time and space resources is discussed for two adjacent intersections with the short left-turn lanes channelized on their common link. According to the analysis of the impact of a short left-turn lane on the approach saturation flow rate, an optimization model is presented. The objectives of the model are to maximize the capacity of each intersection and minimize the unit delay at each intersection. Also, the decision variables of the model are the length of each short left-turn lane and the effective green time per phase. Taking two adjacent intersections in Dalian city for instance, the optimization model is solved by using Matlab software, and then the current and optimization scenarios are simulated by using VISSIM software. The outcomes indicate that the optimization scenario makes the capacity, unit delay and degree of saturation decrease, the capacity to unit delay ratio increase and the average queue length shorten for each intersection, and the total number of vehicles passing through these two intersections per hour increase. The research results indicate that the synergistic design of traffic organization and signal control can allocate the time and space resources of a group of intersections optimally.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2012年第4期546-552,共7页 Journal of Dalian University of Technology
基金 国家自然科学基金资助项目(50808035) 中央高校基本科研业务费专项资金资助项目(DUT12JR10)
关键词 交通工程 左转短车道 信号配时 通行能力 车均延误 traffic engineering short le{t-turn lane signal timing capacity unit delay
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共引文献32

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  • 1齐立群,云美萍,杨晓光.短连线交叉口饱和条件下相位差优化设计研究[J].交通信息与安全,2013,31(2):128-133. 被引量:6
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