摘要
交通信息服务系统中的动态路况信息服务是研究的热点和难点课题.现有的动态路况信息发布方式受众面广,如果路网中的大部分参与者都利用接收到的路况信息实时规划出行路线,则势必对全局交通系统造成较大的扰动,在避开现有交通拥堵点的同时形成新的拥堵点.文中基于GIS空间数据模型和多智能体的理论方法,研究了一种多智能体协作动态路况信息服务技术,通过增强信息提供者和出行者之间的交互和协作,提供实时性更强的诱导路径.阐述了系统结构、路网模型和多智能体模型,设计开发了实验原型系统,并得出了初步结论.
The dynamic road information services in traffic information service systems is a hot and difficult research issue.The existing dynamic traffic information is released for widely audience.If most of the participants who are the drivers of the vehicle that can receive the information,are to use the traffic information received to plan real-time travel routes,then the overall traffic system is bound to cause a larger disturbance,and a new congestion point come into being at the same time avoiding the existing traffic point.Based on the GIS spatial data model and the theory of multi-agent,we study a dynamic traffic information services technology based on collaborative multi-agent methods in order to get the better travel path through enhancing the interaction and collaboration between the information providers and travelers.Then based on the swarm platform and java language a experimental prototype system is designed and developed,and future research is presented in this paper.
出处
《武汉理工大学学报（交通科学与工程版）》
2010年第4期679-683,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家863项目(批准号:2006AA12Z209
2007AA12Z241)
国家自然科学基金项目(批准号:40871184)
中国科学院知识创新工程重点方向性项目(批准号:kzcx2-yw-308)
中国博士后科学基金项目(批准号:20080430546)
国家重点实验室创新团队项目资助
