Traffic speed cloud maps: A new method for analyzing macroscopic traffic flow
Traffic speed cloud maps: A new method for analyzing macroscopic traffic flow
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交通速度云图：宏观交通流分析的新方法
DOI：
10.1016/j.physa.2018.05.122
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发表时间：
2018-10
期刊：
影响因子：
--
通讯作者：
Wang Zhonghao
中科院分区：
文献类型：
--
作者：
Xiao Jianli;Wang Zhonghao
Among traffic flow analysis, there are many methods presented for microscopic and mesoscopic traffic flow in past decades. However, the methods for macroscopic traffic flow analysis are relatively few. That is because the macroscopic traffic flow analysis needs more data and computational resources. In this paper, we focus on macroscopic traffic flow analysis using massive traffic data. A new method, traffic speed cloud maps, is proposed. It can present the traffic states in a large scale, accurately. Also, it can describe the variations of the congestion area. More importantly, with traffic speed cloud maps, people can capture the forming and degrading processes of the congestion and investigate the operation rules of macroscopic traffic flow. In order to evaluate the effectiveness of traffic speed cloud maps, 14 786 073 traffic samples are taken to perform experiments. Experimental results show that traffic speed cloud maps can present the traffic state of large areas accurately, and help us to investigate the variation of macroscopic traffic flow states intuitively and efficiently.
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DOI：
10.1243/0959651011541120
发表时间：
2001-01-01
影响因子：
1.6
作者：
Hoogendoorn, SP;Bovy, PHL
通讯作者：
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DOI：
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1989-12
期刊：
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影响因子：
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通讯作者：
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影响因子：
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发表时间：
2002-10-01
影响因子：
8.3
作者：
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通讯作者：
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DOI：
10.1177/095965180121500402
发表时间：
2001-06
期刊：
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
影响因子：
--
作者：
S. Hoogendoorn;P. Bovy
通讯作者：
S. Hoogendoorn;P. Bovy