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Group Mutual Exclusion Algorithm for Intersection Traffic Control of Autonomous Vehicle

机译:群体交叉口算法在自动驾驶汽车交叉口交通控制中的应用

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Intersection Traffic Control_(ITC) has attracted extensive attention with the increase of traffic accidents and congestion that has caused huge social and economic losses. The system currently being studied on ITC needs a lot of computations and is based on ans ICU_(Intersection Control Unit) that is neither flexible nor cost efficient. This paper proposes a token-based group mutual algorithm for ITC for autonomous vehicles. To pass the intersection_(IC) safely without an ICU or traffic lights, there should be perfect coordination among autonomous vehicles based on real-time V2V communications. We use two kinds of tokens: a primary token as a privilege and a sub-token as an auxiliary means to increase the performance of vehicle flow. The rational circulation of tokens is the core subject in this algorithm. VTokenIC decreases message complexity and shows better performance in system throughput than existing traffic signal system.
机译:交通量控制_(ITC)随着交通事故和拥堵的增加而引起了巨大的社会和经济损失的广泛关注。目前正在ITC研究的系统需要大量计算,并且基于既不灵活也不高效的ANS ICU_(交叉控制单元)。本文提出了一种基于令牌的ITC族互动算法,用于自主车辆。为了在没有ICU或红绿灯的情况下安全地通过交叉口_(IC),基于实时V2V通信,自动车辆应该有完美的协调。我们使用两种令牌:主要令牌作为特权和子令牌作为辅助手段,以提高车辆流量的性能。令牌的合理循环是该算法中的核心主体。 vTokenic降低了消息复杂性,并在系统吞吐量中显示出比现有流量信号系统更好的性能。

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