【作者】 蒋汉平； 商蕾； 朱茵；

【Author】 JIANG Hanping~1 SHANG Lei~2 ZHU Yin~2 (1 School of Computer Science and Technology,Wuhan University of Technology,Wuhan,China,430063 2 Instituteof Transportation Engineering,Tsinghua University,Beijing,China 100084)

【机构】 武汉理工大学计算机科学与技术学院； 清华大学交通研究所；

【摘要】 恶劣天气是引发交通拥阻和事故的因素之一,如果能在事故发生之前进行预警,在事故发生时进行适当的交通管理,就能减小恶劣天气对交通的影响。考虑到天气影响因素较多.而且难于建立天气与交通参数的对应关系,因此,建立恶劣天气下的交通管理系统要具备更高的智能性和自学习性。本文提出了基于多智能体(Multi-Agent)技术的恶劣天气交通管理系统的流程框架,论述了系统中每一个 Agent 成员所能够完成的主要功能。通过该系统的实现,能够对天气造成的交通事故进行预警、处理和辅助决策支持,以提高交通应急反应和防灾减灾能力。随着智能体技术和网络技术的不断发展,基于智能体的研究必将有着更广泛的应用前景。更多还原

【Abstract】 The bad weather is one inducement of traffic congestion and traffic ac- cident.If we can do some forecast before traffic accident,and do well traffic manage when accident occurs,it will reduce the influence of the bad weather. Since there are several weather factors,and it is difficult to build the relation of the weather factors and the traffic parameters,the traffic management system must have higher intelligent and self-learning.The author suggests building a traffic management system of bad weather based on the multi-agent technology. The system’s framework and the function of each agent are illuminated.When this system is fulfilled,it can do accident forecast,incident treatment and deci- sion support.With the development of the agent technology and the network technology,the researches based on agent will have wider applications.更多还原