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Modeling Vehicles Movement at Signalized Intersections

机译:信号交叉口的车辆运动建模

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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:信号交叉口的汽车追随行为与道路上的行为不同,尤其是在绿色时间开始时。随着绿色指示的开始,采用链接方式的车辆开始移动,并且通常会出现一个特定的过程,因为会形成一个紧密排列的行进中的行列,然后转向分散。该过程通常针对中断的流量,特别是对于休息队列而言,在其移除的早期阶段进行。本文将每辆车在此过程中的运动分为四个阶段:首先从静止加速,此后不久降低加速度以加入运动的排,然后增加加速度以从排中散开并最终进入自由流动。它开发了描述四阶段运动的数学模型。它还设计了性能度量(交叉口通过时间),并基于北京市的现场数据进行了一些案例研究,以验证该模型。结果表明,所提出的模型适用于绿色时间开始部分的车辆运动模型。通过提出的模型发现,驾驶员在第二阶段的决策对队列中间或队列中车辆的总延误有很大影响。

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