Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency braking messages are broadcast to affected vehicles. We provide a framework for computing lower bounds on probabilities for safe braking - collisions between vehicles are to be avoided. If we require that a crash or collision, for example, occurs at most once in a million scenarios, our approach allows for computation of lower bounds on the time-varying (or distance-varying) packet loss probabilities to ensure this. One of the benefits of the proposed framework is that the computational time is reduced; eliminating, for example, the need for time-consuming Monte Carlo simulations.

中文翻译：

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有效限制智能交叉口车辆碰撞的概率


智能交叉口有潜力成为未来交通基础设施的组成部分。无线通信是实现此类技术的关键。我们考虑这样一个场景：两路车辆穿过一个智能交叉路口。我们研究紧急制动场景中的安全性，其中流量中的一辆车突然决定紧急制动，并向受影响的车辆广播紧急制动消息。我们提供了一个计算安全制动概率下限的框架——要避免车辆之间的碰撞。例如，如果我们要求崩溃或冲突在一百万个场景中最多发生一次，我们的方法允许计算随时间变化（或随距离变化）的数据包丢失概率的下限以确保这一点。所提出的框架的好处之一是减少了计算时间；例如，消除了耗时的蒙特卡罗模拟的需要。