摘要
基于GIS空间数据模型和多智能体,研究了一种多智能体协作动态路况信息服务系统,通过智能体之间的协作预测路网交通流量在时间和空间的分布,提供更贴近实际状况的诱导路径。在此基础上,基于Swarm平台和Java语言开发实现了实验原型系统,利用实验数据进行实例模拟,对实验结果进行了分析,并对后续的研究工作提出了展望。
The existing dynamic traffic information is released for widely audience.If most of the participants who are the drivers receiving the information,are to use the dynamic traffic information to plan real-time travel routes,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.In this paper,we development a dynamic traffic information services system based on collaborative multi-agents in order to get the better travel path through enhancing the interaction and collaboration between the information providers and travelers.A experimental prototype software is designed and released based on the swarm platform and java language,and some experiments are done and get some results.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第10期1226-1230,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2006AA12Z209
2007AA12Z241)
国家自然科学基金资助项目(40871184)
国家重点实验室自主创新团队计划资助项目(088RA400SA)
中国博士后科学基金资助项目(20080430546)
关键词
AGENT
路况信息服务
交通仿真
动态路况信息
Agent
traffic information service
transportation simulation
dynamic traffic information
