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Cellular automata model for Urban Road traffic flow Considering Internet of Vehicles and emergency vehicles
Journal of Computational Science ( IF 3.1 ) Pub Date : 2020-09-21 , DOI: 10.1016/j.jocs.2020.101221
Han-Tao Zhao , Xin Zhao , Lu Jian-cheng , Liu-yan Xin

Based on the forecast of the future prospect of the car network function, the paper analyzes the traffic characteristics of the future networked vehicles and the traffic characteristics of the emergency vehicles in the network environment. Then in order to better investigate the characteristics of Internet of Vehicles, MCD model (into which introduced the brake light) is improved by considering the vehicle safe distance which is depending on the driver’s reaction time and the estimation of the front vehicle velocity. Based on the improved model, the rules such as the speed perception of the connected vehicle, low reaction time of networked vehicle and the regional avoidance of the emergency vehicle are introduced, which constitute the emergency vehicle CA model of urban road traffic flow. The results show that the vehicle network can improve the traffic capacity and average speed of the road so that it has a good effect on the urban traffic, which is conducive to the rapid passage of emergency vehicles.



中文翻译:

考虑车联网和应急车辆的城市道路交通流元自动机模型

在对汽车网络功能的未来前景进行预测的基础上,分析了网络环境下未来网络车辆的流量特性和应急车辆的流量特性。然后,为了更好地研究车联网的特性,通过考虑取决于驾驶员反应时间的车辆安全距离和对前方车速的估计,改进了MCD模型(引入了制动灯)。在改进模型的基础上,引入了对接车辆的速度感知,联网车辆的反应时间短,应急车辆区域回避等规则,构成了城市道路交通流量的应急车辆CA模型。

更新日期:2020-10-02
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