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考虑停靠时间波动的快速公交车速与路口信号协同优化
引用本文:张鹏,黄丽莹,常玉林,陈浩杰.考虑停靠时间波动的快速公交车速与路口信号协同优化[J].科学技术与工程,2018,18(31).
作者姓名:张鹏  黄丽莹  常玉林  陈浩杰
作者单位:1.江苏大学汽车与交通工程学院,镇江,212000;2.江苏省交通运输与安全保障重点建设实验室,淮安,223001,江苏大学汽车与交通工程学院,江苏大学汽车与交通工程学院,江苏大学汽车与交通工程学院
基金项目:国家自然科学基金;江苏省高校自然科学基金;江苏省交通运输与安全保障重点建设实验室开放基金;江苏大学高级专业人才科研启动基金
摘    要:为了减少因公交停靠时间波动对车路协同控制造成错失绿灯或红灯时段到达的不利影响,提出了一种基于决策树模型的考虑快速公交系统(bus rapid transit,BRT)停靠时间波动的优先控制方法。该方法主要通过路段车速引导、驻站控制和信号配时调整使BRT进行进站前路段和完成上下客之后路段的两阶段决策引导。由实例可以得到:本文的控制方法相比现实中的不停车通过率提高40%、通过交叉口的平均延误降低20 s;对比不考虑停靠时间波动的不停车通过率提高20%、通过交叉口的平均延误也降低9 s。可见本文的控制方法能提高车路协同控制的可靠性。

关 键 词:智能交通  BRT优先控制  决策树模型  车速引导  驻站控制  信号配时
收稿时间:2018/5/21 0:00:00
修稿时间:2018/7/6 0:00:00

Cooperative Optimization of BRT Speed and Intersection Signal considering the Time Fluctuation of Dock
Zhangpeng,Huangliying,Changyulin and Chenhaojie.Cooperative Optimization of BRT Speed and Intersection Signal considering the Time Fluctuation of Dock[J].Science Technology and Engineering,2018,18(31).
Authors:Zhangpeng  Huangliying  Changyulin and Chenhaojie
Abstract:In order to reduce the adverse effect of bus parking time fluctuation on vehicle road cooperative control, which may result in missing the green light or reaching the parking line at red light. This paper proposed a priority control method which based on a decision tree model and considering the bus fluctuation of dock. The method is mainly guided by the speed guidance of the road, the station control and the adjustment of the signal timing to make the BRT carry out the two stage decision guidance of the front section of the station and the following sections.Through the instance can be obtained: Compared with the original control strategy, the control strategy of this article is adjusted to increase the non-stop traffic rate by 40% and the average delay through the intersection is reduced by 20 seconds. In comparison with the strategy of time fluctuation optimization, the non-stop rate of this strategy is increased by 20% and the average delay time of crossing the intersection is reduced by 9s.The results show that the control method in this paper can improve the reliability of vehicle road cooperative control.
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