Identification and Classification of Spatiotemporal Traffic Congestion Based on Floating Car Data-Reference-Cited by-同舟云学术

Identification and Classification of Spatiotemporal Traffic Congestion Based on Floating Car Data

Published:2020-08-12 Issue: Volume: Page:
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Container-title:CICTP 2020
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Author:

Wang Liwei¹¹¹¹¹,Yan Xuedong¹¹¹¹¹,Chen Deqi¹¹¹¹¹,Liu Xiaobing¹¹¹¹¹,Liu Tong¹¹¹¹¹

Affiliation:

1. MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong Univ., Beijing 100044, PR China.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482933.009

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4. New framework for automatic identification and quantification of freeway bottlenecks based on wavelet analysis;Ke R.;Journal of Transportation Engineering, Part A: Systems,2018

5. Kerner B. S. Demir C. Herrtwich R. G. Klenov S. L. Rehborn H. Aleksic M. & Haug A. (2005). Traffic state detection with floating car data in road networks. In Proceedings. 2005 IEEE Intelligent Transportation Systems 2005. (pp. 44-49). IEEE.

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