交通拥挤状态模糊识别方法的设计与应用

Application and Design of Traffic Congestion Identification Method Using Fuzzy Logic

交通状态是交通控制、交通诱导等管理措施的基础.在分析交通流运行特性的基础上,提出了交通流状态的拥挤和消散变化过程,并得出交通量和占有率对交通状态变化的敏感特性.建立了以交通量和占有率为输入量的交通状态模糊识别方法,并利用某路段环形线圈检测器的实测数据进行了仿真实验,实验的识别结果与实际交通状态相当吻合,可见该方法具有良好的实用性.

Traffic condition is the basis of such traffic management as traffic control, route guidance. After analyzing the characteristics of traffic movement, the formation and scattering of congestion is presented. Then, a new traffic condition identification method based on fuzzy logic is put forward, establishing traffic volume and occupancy as input variables. Finally, a simulation experiment is undertaken with the data collected from loop detector. The result shows that the method proposed has great practicability and can identify congestion states correctly.