Identifying and Tracking Network-Wide Traffic Congestion Based on Mapping-to-Cells Vehicle Trajectory Data-Reference-Cited by-同舟云学术

Identifying and Tracking Network-Wide Traffic Congestion Based on Mapping-to-Cells Vehicle Trajectory Data

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Xu Jiaming¹,Chen Peng²

Affiliation:

1. School of Transportation Science and Engineering, Beihang University,Beijing,100191

2. School of Transportation Science and Engineering, Beihang University,Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control,Beijing,100191

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922519.pdf?arnumber=9922519

Reference19 articles.

1. Grid Mapping for Spatial Pattern Analyses of Recurrent Urban Traffic Congestion Based on Taxi GPS Sensing Data

2. Grid Mapping for Road Network Abstraction and Traffic Congestion Identification Based on Probe Vehicle Data

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

4. Traffic Congestion Identification and Reduction

5. Mapping to Cells: A Simple Method to Extract Traffic Dynamics from Probe Vehicle Data

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