Research on Public Traffic Control of Multi-agents System Based on Grey Disaster Predication

摘要：

In the multi-agents public traffic control system, the problem about being comfortable is very important. The challenge is to find solutions to achieve the objective minimized amount of vehicles in overload. This paper proposes a solution algorithm for keeping comfortable of public traffic based on grey disaster prediction through principled cooperation between agents that represent traffic command center, traffic operators, and drivers. It is deduced that the algorithm is practical and adaptable to a variety of public traffic networks.

作者: CHEN Tao CHEN Senfa ZHU Jinfeng

作者单位: School of Economic and Management, Southeast University, Nanjing 210096 China Department of Computer Science and Engineering, Sanjiang University, Nanjing 210012 China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）