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基于交叉口时空需求度的可变导向车道自适应控制方法
引用本文:常玉林,赵 超,张 鹏.基于交叉口时空需求度的可变导向车道自适应控制方法[J].科学技术与工程,2018,18(31).
作者姓名:常玉林  赵 超  张 鹏
作者单位:江苏大学 汽车与交通工程学院;东南大学 城市智能交通江苏省重点实验室,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:国家自然科学基金项目(61573098)、江苏省高校自然科学基金(13KJB580003)、江苏省交通运输与安全保障重点建设实验室开发基金资助(TTS2016-05)
摘    要:为解决因路口各流向分布不均衡导致的拥堵状况,以设有可变导向车道的交叉口为研究对象,建立了基于路口实时交通状况的可变导向车自适应控制模型。其主要包括路口信息采集和可变导向车道自适应控制,根据各进口需求度不同,确定可变导向车道属性及相应的信号配时方案。并借助MATLAB、VISSIM等软件对优化模型进行验证。结果表明:与固定导向车道控制方案相比,在时段3~时段6期间采用可变导向车道自适应控制,路口车均延误和最大排队长度降低2. 67%~42. 96%和14. 26%~66. 71%;设有可变车道的进口道,其直行方向通行能力在时段3和时段6分别提高18. 35%和15. 81%。而左转最大排队长度降低66. 71%和14. 26%,说明采用可变导向车道自适应控制能有效缓解道路拥堵,提高路口时空资源利用率。

关 键 词:时空需求度  可变导向车道  优化模型  自适应控制  城市交通
收稿时间:2018/7/3 0:00:00
修稿时间:2018/8/22 0:00:00

An Adaptive Control Method of Variable Lane based on Intersection Space-time Demand
Chang Yu-Lin,Zhao Chao and Zhang Peng.An Adaptive Control Method of Variable Lane based on Intersection Space-time Demand[J].Science Technology and Engineering,2018,18(31).
Authors:Chang Yu-Lin  Zhao Chao and Zhang Peng
Abstract:In order to solve the traffic congestion caused by the uneven distribution of traffic flow in intersection, the variable approach lanes of intersection entrance were as research object, and an adaptive control model based on intersection real-time traffic conditions was established. It mainly includes intersection information collection and adaptive control of variable guide lanes. According to the different degree of import requirements, the attributes of the variable guide lane and the corresponding signal timing plan are determined. And using MATLAB, VISSIM and other software to verify the optimization model, the results show that: Compared with the fixed-guiding lane control scheme, adaptive lane-changeable lane control was used during period 3 to period 6. The average delay and maximum queue length at the intersection decreased by 2.67% to 42.96% and 14.26% to 66.71%, respectively. And, For the inlet lanes with variable lanes, the capacity in the straight direction increased by 18.35% and 15.81% in the period 3 and 6 respectively, while the maximum queue length in the leftward turn decreased by 66.71% and 14.26%. It shows that adaptive control using variable guide lanes can effectively alleviate road congestion and improve the utilization of space-time resources at intersections.
Keywords:space-time  demand    variable  approach lane  optimization models  adaptive control  urban traffic
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