Intelligent transport systems have efficiently and effectively proved themselves in settling up the problem of traffic congestion around the world. The multi-agent based transportation system is one of the most important intelligent transport systems, which represents an interaction among the neighbouring vehicles, drivers, roads, infrastructure and vehicles. In this paper, two traffic management models have been created to mitigate congestion and to ensure that emergency vehicles arrive as quickly as possible. A tool-chain SUMO-JADE is employed to create a microscopic simulation symbolizing the interactions of traffic. The simulation model has showed a significant reduction of at least 50% in the average time delay and thus a real improvement in the entire journey time.

翻译：多试剂运输系统是最重要的智能运输系统之一,代表了相邻车辆、司机、道路、基础设施和车辆之间的相互作用;在本文件中,建立了两个交通管理模式,以缓解交通堵塞并确保紧急车辆尽快抵达;使用一个工具链SUMO-JADE来制作一个微型模拟,象征交通的相互作用;模拟模型显示平均延迟时间明显减少至少50%,从而在整个旅程期间真正改善。