基于模糊逻辑的交通拥挤状态识别算法

Traffic Congestion Identification Method Based on Fuzzy Logic

在模糊综合评判算法的基础上,提出基于模糊逻辑的交通拥挤状态识别算法。该算法将占有率、密度和行程时间3个基础交通流参数进行组合,得到服务水平、相对密度、相对行程时间3个新的特征变量,采用梯形函数分别计算隶属度,根据隶属度评判交通拥堵状态,最后结合某城市主干道路采集的交通动态参数对此方法进行算例分析,显示该算法的工作流程与输出结果。

Traffic congestion is a global problem and makes serious effect on the persistence development of city and living of human beings. In this paper,the flow,density and travel time of highway are combined into several new eigenvectors,and a new traffic condition identification method based on fuzzy logic is put forward,establishing the eigenvectors as input variables. Finally,the paper carries out demonstration on this method by using the traffic parameters collected on certain urban highway,which shows the process and output results of the algorithm. The result indicates that the effect of this method is better,and it can be a method for studying the urban highway traffic congestion recognition in our country.