Spatial-temporal traffic congestion identification and correlation extraction using floating car data-Reference-Cited by-同舟云学术

Spatial-temporal traffic congestion identification and correlation extraction using floating car data

Published:2020-07-22 Issue:3 Volume:25 Page:263-280
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Chen Yanyan¹,Chen Cong²,Wu Qiong³,Ma Jianming⁴,Zhang Guohui³,Milton John⁵

Affiliation:

1. Beijing Transportation Engineering Key Laboratory, Beijing University of Technology, Beijing, PR China

2. Center for Urban Transportation Research, University of South Florida, Tampa, Florida, USA

3. Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, Hawaii, USA

4. Traffic Operations Division, Texas Department of Transportation, Austin, Texas, USA

5. Washington State Department of Transportation, Quality Assurance and Transportation System Safety, Olympia, Washington, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2020.1790364

Reference63 articles.

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3. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel

4. A cluster analysis approach for differentiating transportation modes using Bluetooth sensor data

5. Beijing Municipal Administration of Quality and Technology Supervision. (2011). Urban road traffic performance index, DB11/T 785-2011 (in Chinese). DB11/T 785-2011. Retrieved 2018 July 2020, from http://www.doc88.com/p-798921174383.html

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