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基于交通指数云图的宏观交通流分析方法综述 被引量:3

Surveyon the Analysis Methods for Macroscopic Traffic Flow Based on Traffic Index Clouds
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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. 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.
出处 《上海理工大学学报》 北大核心 2017年第4期353-357,共5页 Journal of University of Shanghai For Science and Technology
基金 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)
关键词 交通流分析 交通指数 区域划分 交通指数云图 traffic flow analysis traffic index region division traffic index clouds
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