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A stochastic approach for vehicle safety modeling in a platoon of vehicles equipped with vehicular communications

机译:在配备车辆通信系统的车辆排中进行车辆安全建模的随机方法

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Among the safety-related applications of vehicular ad hoc networks (VANETs), the Cooperative/Chain Collision Avoidance (CCA) techniques have received special attention in recent years. With CCA systems a fast dissemination of warning messages to the vehicles in the platoon enables them to promptly react in emergency situations. In this way the number of car accidents and the associated damage to drivers and passengers can be significantly reduced. These systems are usually evaluated through simulation. However, to cope with the drawbacks of simulating accidents with current tools based on car-following characterizations, we propose the use of a stochastic model as an alternative to simulation for the design and evaluation of such applications. The model allows the computation of the average number of collisions that occur in a platoon of vehicles, the probabilities of the different ways in which the collisions may take place, as well as other statistics of interest. As shown in this paper, the model enables the evaluation of different scenarios and communication technologies, characterized by using the appropriate distributions for its parameters. The main practical utility of this approach lays on its ability to quickly assess numerically the influence of different parameters on the collision process without the need to resort to complex simulations at a first stage. Such an evaluation provides relevant guidelines for the design of vehicular communication systems. To exemplify it, we provide an evaluation of different types of CCA applications in two scenarios, a freeway and an urban scenario.
机译:在车辆自组织网络(VANET)的安全相关应用中,协作/链冲突避免(CCA)技术近年来受到了特别的关注。借助CCA系统,可以将警告消息快速传播到排中的车辆,使他们能够在紧急情况下迅速做出反应。通过这种方式,可以大大减少交通事故的数量以及对驾驶员和乘客造成的损害。这些系统通常通过仿真进行评估。但是,为了解决使用基于跟车特性的当前工具来模拟事故的弊端,我们建议使用随机模型作为模拟的替代方法,以设计和评估此类应用。该模型允许计算在一组车辆中发生的平均碰撞次数,发生碰撞的不同方式的概率以及其他感兴趣的统计数据。如本文所示,该模型能够对不同的场景和通信技术进行评估,其特征是为其参数使用适当的分布。这种方法的主要实用性在于它能够快速地从数值上评估不同参数对碰撞过程的影响,而无需在第一阶段就诉诸复杂的模拟。这样的评估为车辆通信系统的设计提供了相关的指导原则。为了举例说明,我们在高速公路和城市场景两种情况下评估了不同类型的CCA应用程序。

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