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Cellular automata model for Urban Road traffic flow Considering Internet of Vehicles and emergency vehicles

机译:考虑车辆互联网和应急车辆的城市道路交通流量的蜂窝自动机模型

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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.
机译:基于汽车网络功能未来前景的预测,本文分析了网络环境中未来网络车辆的交通特性及其紧急车辆的交通特性。然后为了更好地研究车辆互联网的特性,通过考虑根据驾驶员的反应时间和前车速的估计来提高车辆安全距离来改善MCD模型(引入制动灯)。基于改进的模型,介绍了所连接的车辆的速度感知,网络车辆的低反应时间和应急车辆区域避免的规则,这构成了城市道路交通流量的紧急车辆CA模型。结果表明,车辆网络可以提高道路的交通能力和平均速度,使其对城市交通具有良好的影响,这有利于紧急车辆的快速通过。

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