摘要
依托于浮动车数据,基于地图匹配对城市道路交通状态模糊综合判别方法进行深入研究。首先根据浮动车数据特点和道路交通信息,基于Mapbasic编程对数据进行地图匹配,并进行MapInfo二次开发,通过相关模型计算指定时段内的道路交通参数。建立模糊综合评价判别模型,对判别结果量化处理,以最大隶属度原则确定道路交通状态。最后,选取广州天河区某条道路进行实例分析,验证了判别方法的可行性和实用性。
According to the data of GPS equipped floating vehicles, a fuzzy comprehensive identification method of urban road traffic conditions based on map matching was researched. First, the traffic parameters in the designated time periods was calculated with related model based on the data characteristics of GPS equipped floating vehicles and road traffic information by using map matching of Mapbasic programming and Maplnfo secondary development. Then, a fuzzy comprehensive evaluation model was built to quantify the evaluated result, and the road traffic condition was determined by the principle of maximum membership degree. Finally, with a case study on a road of Guangzhou Tianhe District, the presented method was proved feasible and practical.
出处
《公路交通科技》
CAS
CSCD
北大核心
2011年第10期86-91,共6页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(50978106)
关键词
交通工程
GPS浮动车
地图匹配
模糊综合评价
参数估计
交通状态
traffic engineering
GPS equipped floating vehicle
map matching
fuzzy comprehensive evaluation
parameter estimation
traffic condition
作者简介
刘伟铭（1963-），男，湖南长沙人，教授，博士生导师．（lwmgljt@sohu．com）
