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A Speed Control Method at Successive Signalized Intersections Under Connected Vehicles Environment

机译:车联网环境下连续信号交叉口的速度控制方法

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摘要

A growing body of speed control methods for signalized intersections have been developed using V2I and V2V technology. However, limited efforts are made to reduce the vehicle fuel consumption and emissions during the driving process at successive signalized intersections. To fill the gaps, this paper proposed a novel speed control method for the successive signalized intersections under connected vehicles environment. Using the upcoming traffic signal phasing, timing information and the vehicle queues at the signalized intersection, vehicle speed was optimized to reduce the vehicle fuel consumption and emissions. To validate its effectiveness, a real-time simulation framework embodied the characteristics of the connected vehicles environment is conducted using the multi-agent technology. In different traffic flows, the fuel consumption, CO2 emissions and travel time based on the speed control method are compared with that of without speed control. The effectiveness of the proposed speed control method in different signal timing plan was also tested. Simulation results show that the proposed speed control method could reduce more than 18% fuel consumption and CO2 emissions and 9% travel time in the medium density of traffic flow, which is the best control effect.
机译:使用V2I和V2V技术开发了越来越多的信号交叉口速度控制方法。然而,在连续的信号交叉口的驾驶过程中,为减少车辆的燃油消耗和排放做出了有限的努力。为了弥补这一空白,本文提出了一种在连接车辆环境下对连续信号交叉口进行速度控制的新方法。使用即将到来的交通信号相位,定时信息和信号交叉口处的车辆队列,可以优化车速以减少车辆的燃油消耗和排放。为了验证其有效性,使用多智能体技术进行了实时仿真框架,体现了互联车辆环境的特征。在不同的交通流量中,将基于速度控制方法的燃油消耗,CO2排放和行驶时间与没有速度控制的情况进行了比较。还测试了所提出的速度控制方法在不同信号时序方案中的有效性。仿真结果表明,本文提出的速度控制方法在中等交通流量密度下可减少18%以上的油耗和CO2排放,并减少9%的行驶时间,是最佳的控制效果。

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    Beihang Univ Sch Transportat Sci & Engn Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing 100191 Peoples R China;

    Beihang Univ Sch Transportat Sci & Engn Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing 100191 Peoples R China|Tsinghua Univ State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China;

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