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A Separation Strategy for Connected and Automated Vehicles: Utilizing Traffic Light Information for Reducing Idling at Red Lights and Improving Fuel Economy

机译:互联汽车与自动驾驶汽车的分离策略:利用交通信号灯信息减少红灯怠速并提高燃油经济性

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摘要

Vehicle platoon composed of a group of connected and automated vehicles (CAVs), a coordinated movement strategy, has been widely proposed to address a range of traffic problems. The motion of vehicle in the platoon passing signalized intersections can significantly affect their total trip time and fuel consumption. With the development of advanced communication technology such as V2V and V2I, CAVs can automatically obtain and use the upcoming traffic light timing information to find optimal velocity profiles that can avoid idling at red lights. This paper proposes an optimal velocity control and separation strategy for the platoon to minimize the trip time and reduce fuel consumption as much as possible. Simulation results show that with the introduction of the velocity control and separation strategy, the total trip time and fuel consumption decrease by 19.2% and 18.1%, respectively. Thus the effectiveness of the proposed strategy is demonstrated.
机译:为了解决一系列交通问题,广泛提出了由一组联网的自动驾驶汽车(CAV)组成的车辆排,一种协调运动策略。车辆在经过信号交叉口的排中的运动会显着影响其总行程时间和燃料消耗。随着V2V和V2I等先进通信技术的发展,CAV可以自动获取并使用即将到来的交通信号灯定时信息来找到最佳速度曲线,从而避免空转红灯。本文提出了一种针对排的最佳速度控制和分离策略,以最大程度地减少行程时间并尽可能减少燃油消耗。仿真结果表明,采用速度控制和分离策略后,总行程时间和燃油消耗分别减少了19.2%和18.1%。因此证明了所提出策略的有效性。

著录项

  • 来源
    《Journal of Advanced Transportation》 |2018年第4期|5679064.1-5679064.10|共10页
  • 作者单位

    Southeast Univ, Sch Transportat, Nanjing, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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