A real-time traffic control method for the intersection with pre-signals under the phase swap sorting strategy.

A real-time traffic control method for the intersection with pre-signals under the phase swap sorting strategy.
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相位交换排序策略下前置信号交叉口实时交通控制方法

DOI:
10.1371/journal.pone.0177637
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Wang Y
Wang Y
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bie Y;Liu Z;Wang Y

文献摘要

被引文献

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为解决交叉口左转车流与直通车流之间的冲突,提高通行能力,提出了在信号交叉口实施预信号的方法。这种带有预信号的交叉口称为串联交叉口。对于串列交叉口,相位互换分选策略因其独特的优点被认为是最有效的分相方案,例如驾驶员更容易遵守,分选面积更小。然而,以往的研究没有考虑相位调换分拣策略的一个主要局限性:如果信号灯变红后,一辆或多辆车辆留在分拣区域,则进路的通行能力将大幅下降。此外,以往的信号控制研究涉及的是固定的配时计划,不能适应交通流量的波动。因此,为了应对这两个缺口,本文首先对串列交叉口的交通流运行进行了深入的分析。其次,放置三组环路检测器以获取实时的车辆信息,以进行自适应信号处理。考虑分选区域的车道选择行为来设置交叉口信号灯的绿灯时间。以车辆延误最小为目标,采用动态规划方法对信号控制参数进行优化。最后,数值实验表明,在所有场景下,平均车辆延误和最大排队长度都能得到降低。
To deal with the conflicts between left-turn and through traffic streams and increase the discharge capacity, this paper addresses the pre-signal which is implemented at a signalized intersection. Such an intersection with pre-signal is termed as a tandem intersection. For the tandem intersection, phase swap sorting strategy is deemed as the most effective phasing scheme in view of some exclusive merits, such as easier compliance of drivers, and shorter sorting area. However, a major limitation of the phase swap sorting strategy is not considered in previous studies: if one or more vehicle is left at the sorting area after the signal light turns to red, the capacity of the approach would be dramatically dropped. Besides, previous signal control studies deal with a fixed timing plan that is not adaptive with the fluctuation of traffic flows. Therefore, to cope with these two gaps, this paper firstly takes an in-depth analysis of the traffic flow operations at the tandem intersection. Secondly, three groups of loop detectors are placed to obtain the real-time vehicle information for adaptive signalization. The lane selection behavior in the sorting area is considered to set the green time for intersection signals. With the objective of minimizing the vehicle delay, the signal control parameters are then optimized based on a dynamic programming method. Finally, numerical experiments show that average vehicle delay and maximum queue length can be reduced under all scenarios.