摘要
基于北京市二环微波检测器所获取的交通流数据,建立了快速路流量、速度和占有率关系模型,拟合得到交通流曲线,据此来研究交通流的运行特征。应用模糊c均值聚类得到自由流、拥挤流及阻塞流3种交通流状态划分结果,从而定量标定快速路上3种交通流状态的区域范围。通过对交通流基本参数时变特性、空间特性以及交通流状态分析,能够全面掌握快速路交通状况,为快速路交通管理提供指导。
Based on traffic flow data from RTMS at Beijing second ring expressway, we establish a correlation model among expressway volume, speed and occupancy. Traffic flow curves of expressway are acquired by data fitting, based on which we can address running characteristics of traffic flow. We obtain status classification result of free flow, congestion flow and blocking flow with fuzzy c-means clustering. We can therefore quantitatively calibrate the area of these flows on the expressway. Analysis of time variant and spatial characteristics for fundamental parameters of traffic flow can comprehensively grasp traffic conditions of the expressway and provide reference for traffic management of urban expressway.
出处
《山东科学》
CAS
2016年第3期71-80,共10页
Shandong Science
基金
北京市科技计划项目(Z121100000312101)
国家自然科学基金(71471104)
关键词
快速路
交通流参数
交通流状态
expressway
traffic flow parameters
traffic flow characteristics