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智能网联环境下城市交通主干线协调控制研究
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Abstract:
为探究智能网联环境下的城市交通主干线协调控制,首先针对干线协调控制的理论与方法进行分析;然后针对智能网联环境提出一种基于车辆组队的动态车速诱导与信号优化的干线协调控制方法(Dynamic Speed Guidance and Dynamic Signal Timing of Fleet, DSDSF);最后通过搭建仿真平台对所建立的智能网联环境下干线协调控制方法进行仿真实验与分析。仿真结果表明,在所提出的干线协调控制方法下的车辆平均延误时间和平均停车次数相对于定时控制方法分别降低了48.2%和56.8%,相对于MAXBAND协调控制方法分别降低了25.5%和38.5%,验证了该干线协调控制方法的有效性与可行性。
In order to explore the coordinated control of urban traffic trunk lines in the intelligent network environment, the theory and method of coordinated control of trunk lines are analyzed firstly; then, aiming at the intelligent network environment, a dynamic speed guidance and dynamic sig-nal timing of fleet (DSDSF) is proposed; finally, the simulation platform is built to simulate and analyze the trunk coordinated control method under the established intelligent network envi-ronment. The simulation results show that the average vehicle delay time and the average number of stops under the proposed trunk coordinated control method are reduced by 48.2% and 56.8% respectively compared with the timing control method, and 25.5% and 38.5% respectively compared with the MAXBAND coordinated control method, which verifies the effectiveness and feasibility of the trunk coordinated control method.
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