A co-operative driving system for road junctions is an example of a vehicle cyber–physical system. It integrates the cyber systems in vehicles with their physical systems to optimise co-operative driving at traffic intersections. Depending on ‘vehicle-to-everything’ technology, the system can facilitate co-operation between moving vehicles and traffic control systems, improve traffic operation and management, and help vehicles negotiate junctions safely and efficiently. To optimise the system, an improved membrane-computing-based multi-vehicle optimisation method is proposed in this paper. The method is a potential solution to the multi-vehicle optimisation problem with constrained conditions and incommensurable objectives. It can better guarantee the safety of multiple moving vehicles at a junction than several traditional multi-objective optimisation methods. Experimental analyses show how the method can reduce delays at junctions, increase junction throughput and shorten overall journey times.

中文翻译：

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一种路口协同驾驶系统优化方法

用于路口的协同驾驶系统是车辆信息物理系统的一个例子。它将车辆中的网络系统与其物理系统集成在一起，以优化交通路口的协同驾驶。依托“车联网”技术，该系统可以促进移动车辆与交通控制系统之间的合作，改善交通运营和管理，帮助车辆安全高效地通过路口。为了优化系统，本文提出了一种改进的基于膜计算的多车辆优化方法。该方法是具有约束条件和不可通约目标的多车辆优化问题的潜在解决方案。与几种传统的多目标优化方法相比，它可以更好地保证多辆移动车辆在一个路口的安全。实验分析显示了该方法如何减少交叉路口的延误，增加交叉路口的吞吐量并缩短总行程时间。