A multi-agent Framework for dynamic traffic management Considering Priority Link

Abdelouafi Ikidid, A. E. Fazziki, Mohamed Sadgal
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引用次数: 4

Abstract

To favor emergency vehicles, promote collective modes of transport in Moroccan cities, we propose in this paper a control system to manage traffic at signalized intersections with priority links in urban settings. This system combines multi-agent technology and fuzzy logic to regulate traffic flows. The traffic system flow is divided into two types of vehicles; priority and regular vehicles. The regular vehicles can use only the regular links, while the priority vehicles may use both priority and the regular links. This approach aims to favor emergency vehicles and promote collective modes of transport, it acts on the traffic light phases length and order to control all traffic flows. We proposed a decentralized system of regulation based on real-time monitoring to develop a local inter-section state, and intelligent coordination between neighboring intersections to build an overview of the traffic state. The regulation and prioritization decisions are made through cooperation, communication, and coordination between different agents. The performance of the proposed system is investigated and instantiated in ANYLOGIC simulator, using a section of the Marrakesh road network that contains priority links. The results indicate that the designed system can significantly develop the efficiency of the traffic regulation system.
考虑优先级链路的多智能体动态流量管理框架
为了支持应急车辆,促进摩洛哥城市的集体交通方式,我们在本文中提出了一种控制系统,用于管理城市设置中具有优先链接的信号交叉口的交通。该系统将多智能体技术与模糊逻辑相结合,对交通流进行调节。交通系统将车流分为两类车辆;优先和普通车辆。普通车辆只能使用普通链路,而优先车辆可以同时使用优先链路和普通链路。该方法的目的是支持应急车辆,促进集体运输方式,它通过红绿灯阶段长度和秩序来控制所有交通流量。我们提出了基于实时监控的分散监管系统,以发展局部交叉口状态,并在相邻交叉口之间进行智能协调,以构建交通状态概览。监管和优先级决策是通过不同主体之间的合作、沟通和协调做出的。所提出的系统的性能在ANYLOGIC模拟器中进行了调查和实例化,使用了马拉喀什的一段包含优先链路的道路网络。结果表明,所设计的系统能显著提高交通管理系统的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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