基于云模型的城市快速路交通状态评价方法研究

Cloud-model Based Traffic State Identification on Urban Expressway

交通状态具有模糊性和随机性的特点。基于北京市快速路检测线圈数据,引入了基于云模型的模糊系统来评价快速路交通状态。在充分分析交通流特性的基础上,提出了交通状态划分原则、依据,评价指标,以及基于云模型的模糊综合评价方法的算法流程。为实施交通信息发布以及后期交通状态的改善提供依据。最后,以北京市快速路系统为例,进行实证研究。

Traffic state is fuzzy and random.Based on the loop detected data on urban expressway,the paper introduces a cloud-model based fuzzy system to identify traffic conditions.By carefully analyzing various traffic character,the principles and bases of traffic state classification,evaluation index and the algorithm of cloud-model based fuzzy system are presented.The method can provide importance references for real time traffic information promulgation and traffic improvement.At last,we have the case study of Beijing urban expressway.