Real‐time detection of traffic congestion based on trajectory data-Reference-Cited by-同舟云学术

Real‐time detection of traffic congestion based on trajectory data

Published:2019-09-19 Issue:11 Volume:2019 Page:8251-8256
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Yang Qing¹,Yue Zhongwei²,Chen Ru²,Zhang Jingwei²,Hu Xiaoli²,Zhou Ya²

Affiliation:

1. Guangxi Key Laboratory of Automatic Measurement Technology and InstrumentGuilin University of Electronic TechnologyGuilin 541004People's Republic of China

2. Guangxi Key Laboratory of Trusted SoftwareGuilin University of Electronic TechnologyGuilin 541004People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0872

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4. BaoJ. HeT. RuanS.et al.: ‘Planning bike lanes based on sharing‐bikes’ trajectories’.Proc. of the 23rd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining Halifax NS Canada August 2017 pp.1377–1386

5. ZhengY. LiuY. YuanJ.et al.: ‘Urban computing with taxicabs’.Proc. of the 13th Int. Conf. on Ubiquitous Computing Beijing China September 2011 pp.89–98

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