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Modeling Vehicles Movement at Signalized Intersections

机译:信号交叉口的建模车辆运动

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摘要

Behaviors of car following at signalized intersections are different to those on roads, especially during the start part of green time. As green indication starting, vehicles in the linked approach begins to move and often emerges a particular course observed as that a closely-spaced platoon of moving vehicles comes into being and then turns to disperse. This course usually takes place for the interrupted flows, especially for the resting queues, during the early period of their re-moving. This paper divides movement of each vehicle in this course into four stages: initially accelerating from rest, shortly after which reducing acceleration rate to join a moving platoon, then increasing acceleration rate to disperse from the platoon and eventually stepping into a free flow. It develops a mathematic model to describe the four-stage movement. It also designs a performance measure (intersection passing time) and carries out some case studies based on field data in Beijing city to validate the model. It reveals that the proposed model is applicable to model vehicles movement during the start part of green time. It is found by the proposed model that drivers' decisions at the second stage have much effect on total delay of vehicles in the middle or rear of a queue.
机译:在信号交叉路口的汽车行为与道路上的行为不同,特别是在绿色时间的开始部分。随着绿色指示开始,链接方法中的车辆开始移动,并且经常出现观察到的特定课程,因为这种移动车辆的紧密间隔的排在然后转向分散。本课程通常用于中断的流动,特别是在重新移动的早期休息队列中。本文划分在这个过程中每个车辆的运动分为四个阶段:最初从静止加速后不久,这降低加速度加入移动排,然后从排在增加的加速度率驱散,并最终步入自由流动。它开发了一个数学模型来描述四阶段运动。它还设计了一种性能措施(交叉点),并根据北京市的现场数据进行某些案例研究,以验证该模型。它揭示了所提出的模型适用于在绿色时间开始部分的模型车辆运动。它由拟议的模型发现,驱动程序在第二阶段的驾驶员决策对队列中间或后部的车辆的总延迟产生了很大影响。

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