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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。
Relying on the data of the floating car, based on map matching, this paper makes an in-depth research on the fuzzy comprehensive discrimination method of urban road traffic status. First of all, according to the characteristics of floating car data and traffic information, the map is matched based on Mapbasic programming, and the MapInfo secondary development is carried out. The relevant traffic parameters are calculated through the relevant models. A fuzzy comprehensive evaluation model is established to quantify the discriminant results and determine the road traffic status with the principle of maximum membership. Finally, a case study of Tianhe District in Guangzhou was conducted to verify the feasibility and practicability of the discriminant method.