基于出租车DTG数据的信号交叉口队列长度估计算法

Lee Minhyoung, Youngchan Kim
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引用次数: 0

摘要

在这项研究中,开发了一种算法,用于估计在信号交叉口排队长度使用出租车DTG数据收集的首尔大都会。为此,在时空图上绘制的单个车辆的坐标是根据由于十字路口的交通信号而经历速度变化的单个车辆估计的。为了估计信号交叉口的队列长度,根据每个周期减速位置的车辆坐标估计形成队列冲击波的速度。利用Vissim微仿真软件验证了该算法的精度和灵敏度。评估结果显示至少占平均绝对百分比的19.8%。结果表明,该方法可以估计队列长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Queue Length Estimation Algorithm for Signalized Intersections Using Taxi DTG Data
In this study, an algorithm was developed for estimating the queue length at signalized intersections using taxi DTG data collected for the Metropolis of Seoul. For this, the coordinates of individual vehicles plotted on a time-space diagram were estimated from individual vehicles experiencing speed variations owing to traffic signals at intersections. To estimate the queue length at signalized intersections, the speed of the forming queue shockwave was estimated from vehicle coordinates at locations of speed deceleration for every cycle. The microsimulation software Vissim was used to verify the accuracy and sensitivity of the proposed algorithm. The results of the evaluation revealed at least 19.8% of the mean absolute percentage. The result indicates that the queue length can be estimated through this approach.
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