交通运输系统工程与信息

交通运输系统工程与信息 ›› 2013, Vol. 13 ›› Issue (1): 57-.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于多智能体的多应急车辆信号优先控制研究

马超* 1，崔建勋2   

  1. 1. 盘锦市交通建设有限责任公司，辽宁 盘锦 124010； 2. 哈尔滨工业大学 交通科学与工程学院，哈尔滨 150001
  • 收稿日期:2012-06-11 修回日期:2012-11-23 出版日期:2013-02-25 发布日期:2013-03-04
  • 作者简介:马超（1982-），男，辽宁盘锦人，工程师.

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

MA Chao1，CUI Jian-xun2   

  1. 1.PanJin Communications Construction Co.,Ltd., Panjin 124010, Liaoning， China; 2. School of Transportation of Science and Engineering,Harbin Institute of Technology， Harbin 150001，China
  • Received:2012-06-11 Revised:2012-11-23 Online:2013-02-25 Published:2013-03-04

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被引次数

21

摘要：

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.

关键词: 智能交通, 多应急车辆, 信号优先, 多智能体, 模糊推理

Abstract:

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.

Key words: intelligent transportation, multiple emergency vehicles, signal priority, multiagent, fuzzy inference

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