摘要
交通拥堵和突发事件已成为困扰当前城市交通的2大难题,重点讲述了如何识别交通状态,提出了1种基于模糊推理的交通拥堵等级评判算法和1种基于双变量模型的交通事件识别算法。经过验证,这2种算法可达到较好的交通状态识别效果。
Traffic congestion and unexpected events have become two major problems of the current urban traffic, this paper describes how to identify traffic state, brings forward a traffic congestion evaluation algorithm based on fuzzy reasoning and a traffic incident detection algorithm based on two-variable model, and concludes that these two algorithms can achivev good result of traffic state recognition after algorithm verification.
出处
《道路交通与安全》
2009年第2期29-32,36,共5页
Road Traffic & Safety
基金
国家高技术研究发展计划(863计划)现代交通技术领域综合交通运输系统与安全技术专题
课题"新一代智能化交通控制系统技术"(2006AA11Z229)
关键词
交通状态
模糊推理
交通事件
双变量模型
traffic state
fuzzy reasoning
traffic incfdent
two-variable model
