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Modified Car-Following Models in the Intelligent Vehicle Infrastructure Cooperative Environment

机译:修改后的汽车跟踪模型在智能车辆基础设施协同环境中

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We propose to incorporate the effects of front and rear multivehicle motion states on the following behavior with the help of intelligent vehicle infrastructure cooperative systems, based on the full velocity difference model (FVD), modified full velocity difference model (MFVD). This will enhance the stability performance of traffic flow. We conclude that the neutral stability condition of the MFVD model is more stable than that of the FVD model. The simulation results show that the amplification of front traffic situation and backward-looking can enhance the stability performance of traffic flow and reduce the production of traffic congestion.
机译:我们建议在智能车辆基础设施协作系统的帮助下,基于全速度差异模型(FVD),修改的全速差模型(MFVD),借助智能车辆基础设施协作系统来融合前后多光线动作状态对以下行为的影响。这将提高交通流量的稳定性。我们得出结论,MFVD模型的中性稳定性状况比FVD模型更稳定。仿真结果表明,前交通情况的放大和落后可以提高交通流量的稳定性,降低交通拥堵的生产。

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