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Safety rule-based cellular automaton modeling and simulation under V2V environment

机译：基于安全规则的蜂窝自动机制和仿真在V2V环境下

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摘要

Vehicle to anything (V2X), especially vehicle-to-vehicle (V2V) technology, is regarded as a promising technology to improve traffic efficiency and safety. Under V2V environment, drivers can communicate with each other, and obtain the real-time information of followers, besides of that from the preceding vehicle. According to the condition of sending a request of cooperative driving to the preceding vehicle, drivers are categorized into three sensitivity types, i.e. aggressive, normal and conservative. The mechanism of the driver's reaction to the backward request is also presented. Then, a safety rule-based cellular automaton (CA) model is developed, which involves bi-directional vehicular information. Finally, through numerical experiments, the influences of cooperative driving by V2V on traffic efficiency and safety are analyzed and concluded as follows. 1) The cooperative driving is conducive to improving the efficiency of vehicles to achieve their desired states when the speed constraint (of head vehicle) is serious; 2) The higher average danger coefficient is produced in the more congested vehicular fleet; 3) With regard to homogeneous vehicle fleets, more aggressive driving behaviors with V2V communication results in the lower safety performance, but can increase the traffic flux at synchronized flow and congested state; 4) As for heterogeneous vehicle fleets, the stimulation type, the sensitivity type, and the orders of sensitivity types all have an important effect in the safety performance.
机译：车辆到任何东西（V2X），尤其是车辆到车辆（V2V）技术，被认为是提高交通效率和安全性的有希望的技术。在V2V环境下，驱动器可以彼此通信，并获得追随者的实时信息，除了从前的车辆。根据向前车发送协同驱动的请求的条件，驱动程序分为三种灵敏度类型，即积极，正常和保守。还介绍了驾驶员对后退请求的反应的机制。然后，开发了一种基于安全规则的蜂窝自动机（CA）模型，其涉及双向车辆信息。最后，通过数值实验，分析了V2V对交通效率和安全性的合作驾驶的影响，并得出如下。 1）合作驾驶有利于提高车辆的效率，以实现当速度约束（头部车辆）严重时实现所需的状态; 2）在更拥挤的车队中产生较高的平均危险系数; 3）关于均匀的车队，具有V2V通信的更具侵略性的驾驶行为导致安全性能较低，但可以增加同步流动和拥挤状态的交通通量; 4）对于异构车队，刺激型，灵敏度类型和敏感性的顺序在安全性能方面都具有重要影响。

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