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A co-simulation, optimization, control approach for traffic light control with truck priority

机译:卡车优先级交通灯控制的共模,优化,控制方法

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Under certain conditions giving priority to trucks at signalized intersections will benefit all vehicles because of elimination of extra delays associated with stop and go trucks due to their size and slow deceleration and acceleration rates. In this paper, we develop, analyse and evaluate a traffic light control system for signalized intersections that takes into account the differences in dynamics and characteristics between trucks and passenger vehicles. The proposed traffic light control system combines simulation-based optimization techniques timing the baseline traffic signals and model-based active strategy giving priority to trucks when it is to the benefit of all vehicles involved. In order to overcome the computational constraints of the simulation-based approach, a multiple agent-based solution utilizing multiple simulators has been proposed for large scale road network applications. The evaluation results show consistent improvements in reducing the truck traffic delays (5% to 10%) and the number of truck stops without delaying passenger vehicles whose travel time and number of stops have also been reduced. The reductions of vehicle delays and number of stops lead to reduction in emission levels and fuel consumption for both trucks and passenger vehicles. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在某些条件下,由于其规模和缓慢减速和加速率,消除了所有车辆的优先考虑卡车,将使所有车辆受益。在本文中,我们开发,分析和评估用于信号的交叉路口的交通光控制系统,考虑到卡车和乘用车之间的动态和特性的差异。所提出的业务光控制系统结合了基于仿真的优化技术,其基准交通信号和基于模型的主动策略优先于卡车,当它是涉及的所有车辆的利益时。为了克服基于仿真的方法的计算限制,已经提出了用于大规模道路网络应用的利用多种模拟器的基于多种代理的解决方案。评估结果表明,减少卡车交通延误(5%至10%),卡车数量在没有延迟旅行时间和停止次数的情况下也减少了乘客车辆。车辆延误和停止数的减少导致卡车和乘用车的排放水平和燃料消耗降低。 (c)2019 Elsevier Ltd.保留所有权利。

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