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Distributed Mutual Exclusion Algorithms for Intersection Traffic Control

机译:交叉口交通控制的分布式互斥算法

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Traffic control at intersections is a key issue and hot research topic in intelligent transportation systems. Existing approaches, including traffic light scheduling and trajectory maneuver, are either inaccurate and inflexible or complicated and costly. More importantly, due to the dynamics of traffic, it is really difficult to obtain the optimal solution in a real-time way. Inspired by the emergence of vehicular ad hoc network, we propose a novel approach to traffic control at intersections. Via vehicle to vehicle or vehicle to infrastructure communications, vehicles can compete for the privilege of passing the intersection, i.e., traffic is controlled via coordination among vehicles. Such an approach is flexible and efficient. To realize the coordination among vehicles, we first model the problem as a new variant of the classic mutual exclusion problem, and then design algorithms to solve new problem. Both centralized and distributed algorithms are. We conduct extensive simulations to evaluate the performance of our proposed algorithms. The results show that, our approach is efficient and outperforms a reference algorithm based on optimal traffic light scheduling. Moreover, our approach does not rely on traffic light or intersection controller facilities, which makes it flexible and applicable to various kinds of intersections.
机译:交叉口交通控制是智能交通系统中的关键问题和研究热点。现有的方法,包括交通信号灯调度和轨迹操纵,都是不准确,不灵活或复杂且昂贵的。更重要的是,由于流量的动态变化,实际上很难实时获得最佳解决方案。受车辆自组织网络的出现启发,我们提出了一种在交叉路口进行交通控制的新颖方法。通过车辆到车辆或车辆到基础设施的通信,车辆可以竞争通过交叉路口的特权,即,通过车辆之间的协调来控制交通。这种方法是灵活而有效的。为了实现车辆之间的协调,我们首先将问题建模为经典互斥问题的新变体,然后设计算法来解决新问题。集中式算法和分布式算法都是如此。我们进行了广泛的仿真,以评估我们提出的算法的性能。结果表明,该方法是有效的,并且优于基于最佳交通信号灯调度的参考算法。而且,我们的方法不依赖交通信号灯或十字路口控制器设施,这使其灵活且适用于各种十字路口。

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