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Evaluation of Lane-by-Lane Detection at Signalized Intersections Using Simulation

机译:使用模拟评估信号交叉口的横通道检测

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The paper provided analyses of an emerging lane-by-lane detection scheme at signalized intersections. Unlike the current single-channel detection where all the detectors across all the lanes on a particular approach are connected to the same signal phase, the lane-by-lane detection monitors the headways/gaps on a lane-by-lane basis. Lane-by-lane detection is expected to provide more efficient detection by gapping out the phase when the vehicle queues have discharged, thus can improve the efficiency of traffic signal operations. In order to evaluate the effectiveness of lane-by-lane detection schemes, a traffic simulation model was developed in VISSIM to simulate lane-by-lane detection. Several scenarios were analyzed that included different factors such as traffic volume, maximum allowable headway, and number of lanes. The Vehicle Actuated Programming module within VISSIM was used to code the signal control logic for both the lane-by-lane detection scheme and the traditional single-channel detection scheme. The measures of effectiveness used in the evaluation included vehicle delays and the percentage of cycles when the actuated phases reached maximum. Results from extensive simulation runs indicated that lane-by-lane detection was more efficient than single-channel detection under moderate traffic volumes. For analysis on maximum allowable headway (MAH), the average delay improvement using a 2.5-second MAH was similar to the 3.0- second result. Lane-by-lane detection was also more efficient when more lanes existed on an intersection approach.
机译:本文提供了在信号交叉路口处的新出现的车道旁观通道检测方案的分析。与当前单通道检测不同,在特定方法上的所有通道上的所有检测器连接到相同的信号相位,车道逐行通道检测监视车道逐个通道的头部/间隙。当车辆队列放电时,预期逐行通道检测预计通过拆除相位来提供更有效的检测,因此可以提高交通信号操作的效率。为了评估车道旁观通道检测方案的有效性,在Vissim中开发了流量仿真模型,以模拟逐行通道检测。分析了几种情况,包括不同的因素,如交通量,最大允许的途中和车道数量。 Vissim内的车辆致动编程模块用于编码通道旁观通道检测方案和传统单通道检测方案的信号控制逻辑。评估中使用的有效性的措施包括车辆延迟和当致动阶段达到最大时的循环百分比。来自广泛的模拟运行的结果表明,在中等交通量下,通道旁观通道检测比单通道检测更有效。对于最大允许前进(MAH)的分析,使用2.5秒MAH的平均延迟改善类似于3.0-第二次结果。当在交叉方法上存在更多的泳道时,逐行通道检测也更有效。

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