物理学报Issue(3)：038903-1-038903-9,9.DOI:10.7498/aps.63.038903
基于多尺度熵的交通流复杂性分析
Complexity analysis of traffic flow based on multi-scale entropy
摘要
Abstract
Research on the complexity of traffic flow evolution is helpful to deeply understand the evolution rule of traffic flow system, which can provide the theoretical foundation for forecasting and controlling traffic flow. Multi-scale entropy (MSE) method is widely used in the analyses of time series of physiology and traffic of computer networks. Considering the similarity between the vehicle arrival in traffic flow system and the packet arrival in computer network, the complexity of the time headway in braking light model is analyzed to show the complexity of traffic flow evolution by using the MSE method. The analysis results show that the complexity of the time headway decreases with the increase of the time scale, which reflects that it is difficulty to predict the traffic flow in a shorttime. In addition, the difference in the complexity of the time headway between the phases of the free flow and synchronized flow is small when the time scale is small. However, with the increase of the time scale, the MSE of the time headway decreases rapidly for free flow, but rather slowly for synchronized flow. Such a difference can be used as a very important reference to distinguish the synchronized flow and the free flow. Research results in this paper can provide new ideas and methods for investigating the complexity of traffic flow evolution.关键词
交通流/复杂性分析/多尺度熵/车头时距Key words
traffic flow/complexity analysis/multi-scale entropy/time headway引用本文复制引用
向郑涛,陈宇峰,李昱瑾,熊励..基于多尺度熵的交通流复杂性分析[J].物理学报,2014,(3):038903-1-038903-9,9.基金项目
国家高技术研究发展计划(863计划)(批准号:2012AA101701)、湖北省自然科学基金重点项目(批准号:2013CFA054)和上海市哲学社会科学规划(批准号:2011BTQ001)资助的课题 （863计划）
