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基于交通指数云图的宏观交通流分析方法综述
引用本文:王忠浩,张静,肖建力.基于交通指数云图的宏观交通流分析方法综述[J].上海理工大学学报,2017,39(4):353-357.
作者姓名:王忠浩  张静  肖建力
作者单位:上海理工大学 光电信息与计算机工程学院, 上海 200093,上海理工大学 光电信息与计算机工程学院, 上海 200093,上海理工大学 光电信息与计算机工程学院, 上海 200093
基金项目:国家自然科学基金资助项目(61503250);上海高校青年教师培养资助计划(ZZslg15018);上海理工大学国家级项目培育课题(16HJPY-QN03)
摘    要:基于交通流分析在智能交通研究和应用中的重要性,聚焦路网交通流分析方法的回顾,综述了宏观尺度的路网交通流分析方法的研究现状.从微观、中观、宏观3个方面梳理了交通流分析方法的基本类型;重点阐述了宏观交通流分析中的交通拥堵指数的基本概念及其计算方法;随后基于交通拥堵指数提出交通指数云图的概念;最后对基于交通指数云图的路网交通流分析进行了讨论,并对其发展和应用前景进行了展望.

关 键 词:交通流分析  交通指数  区域划分  交通指数云图
收稿时间:2016/12/21 0:00:00

Survey on the Analysis Methods for Macroscopic Traffic Flow Based on Traffic Index Clouds
WANG Zhonghao,ZHANG Jing and XIAO Jianli.Survey on the Analysis Methods for Macroscopic Traffic Flow Based on Traffic Index Clouds[J].Journal of University of Shanghai For Science and Technology,2017,39(4):353-357.
Authors:WANG Zhonghao  ZHANG Jing and XIAO Jianli
Institution:School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:The paper focuses on the review of analysis methods for traffic flow on road networks on account of the importance of its applications in intelligent transportation systems.It affords a meaningful review on the large-scale analysis methods for traffic flow.The basic types of the traffic flow analysis methods were drawn from the three aspects of microscopic,mesoscopic and macroscopic views at first.Then,the concept of traffic congestion index and its computing method were presented in detail,and at the same time,the concept of traffic index clouds was proposed.Finally,the methods for analyzing macroscopic traffic flow based on traffic index clouds were discussed,and the development and applications of the traffic index clouds were also presented.
Keywords:traffic flow analysis  traffic index  region division  traffic index clouds
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