基于多智能体的多应急车辆信号优先控制研究

Multiple Emergency Vehicles Signal Priority Control Based on Multi-Agent Approach

本文对不同进口方向的多辆应急车辆在同一时段内通过同一信号交叉口的协调控制问题进行研究,提出一种基于多智能体的多应急车辆信号优先控制系统.在该系统中引入了相位智能体和管理智能体,同时采用模糊推理理论实现各类智能体的内在逻辑,以及模块之间的协调机制.基于Starlogo多智能体仿真软件,针对特定十字交叉口的多应急车辆优先信号协调控制案例进行仿真实验.结果表明,多应急车辆信号优先控制策略能实现应急车辆在交叉口时间通行权上的优先,同时能够减少应急车辆对其他车辆的干扰,对于提高城市范围内的紧急救援效率,具有一定的实用价值.

Aiming at the signal priority problem that emergency vehicles from different directions have to pass the same intersections in the certain time period, this paper presents a signal priority control system for multiple emergency vehicles based on multi-agent. It considers the phrase agent and management agent and coordinates the modules of various agents by the fuzzy inference technique. Based on the multi-agent software, Starlogo, a case study of emergency signal control at a typical intersection are conducted. The results show that the emergency control policy presented in this paper can ensure the priority of emergency vehicles and minimize the interferences from other vehicles. The result is helpful to improve the efficiency of emergency rescue in urban areas.