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Infrastructure-cooperative algorithm for effective intersection collision avoidance

机译:有效避免交叉路口的基础设施合作算法

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To guarantee the road safety by avoiding collisions at the intersections is one of the major tasks of intelligent transportation systems (ITSs), which contributes to the minimal fatalities and property loss in crashes. This paper proposes an effective algorithm for infrastructure-cooperative intersection accident pre-waming system with the aid of vehicular communications. The proposed algorithm realizes accurate and efficient collision avoidances through five steps, i.e., defining variable, reasoning the vehicles evolution state, verifying safe driving behavior, assessing risk, and making decision. The critical factors are theoretically analyzed, and a vehicle state evolution model based on the Dynamic Bayesian Networks (DBNs) is established. The efficient risk assessment method based on identifying the dangerous driving behavior at intersection and different collision avoidance strategies are proposed according to the actual situation. Finally, extensive simulations are carried out to verify the performance of the proposal, and simulation results show that the proposed algorithm can effectively detect risk and accurately migrate the collision.
机译:通过避免在交叉路口发生碰撞来保证道路安全是智能交通系统(ITS)的主要任务之一,它有助于将事故中的死亡和财产损失降至最低。提出了一种基于车辆通信的基础设施-合作路口事故预报警系统的有效算法。所提出的算法通过定义变量,推理车辆演化状态,验证安全驾驶行为,评估风险和做出决定的五个步骤实现了准确有效的避撞。从理论上分析了关键因素,建立了基于动态贝叶斯网络(DBN)的车辆状态演化模型。根据实际情况,提出了一种基于交叉口危险驾驶行为识别和不同防撞策略的有效风险评估方法。最后,进行了广泛的仿真以验证该方案的性能,仿真结果表明,该算法可以有效地检测风险并准确地迁移碰撞。

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