Traffic State Identification Based on Phase Transition-Reference-Cited by-同舟云学术

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Traffic State Identification Based on Phase Transition

Published:2019-07-02 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2019
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Author:

Feng Shumin¹²³²,Xin Mengwei¹²³²,Han Xishuang¹²³²,Sun Yali¹²³²

Affiliation:

1. Professor, School of Transportation Science and Engineering, Harbin Institute of Technology, No. 73 Huanghe Rd., P.O. Box 150090, Harbin, Heilongjiang, China.

2. Ph.D. Candidate, School of Transportation Science and Engineering, Harbin Institute of Technology, No. 73 Huanghe Rd., P.O. Box 150090, Harbin, Heilongjiang, China.

3. Professor, School of Harbin Institute of Technology, Shenzhen, HIT Campus, The University Town of Shenzhen, P.O. Box 518055, Xili, Nanshan District, Shenzhen, China.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482292.255

Reference22 articles.

1. Analysis of freeway traffic time-series data by using Box-Jenkins techniques;Ahmed M. S.;Transportation Research Record,1979

2. Developing a real-world testbed for automatic incident detection systems;Browne R.;IFAC Proceedings,2006

3. Traffic congestion detection in large-scale scenarios using vehicle-to-vehicle communications;Bauza R.;Journal of Network and Computer Applications,2013

4. Systematic identification of freeway bottlenecks;Chen C.;Transportation Research Record: Journal of the Transportation Research Board,2004

5. Caltrans Performance Measurement System (PeMs). (2017). Aggregates>Time Series Available at: http://pems.dot.ca.gov/ Accessed May.17.

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