Incident detection for freeways based on a dual-state traffic factor state network

Weibin Zhang 1
, 
Huazhu Zha 1
, 
Lu Gan 1
, 
Wang He 2
, 
Tao Wang 3
1
 
2
 
China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd | 
3
 
Jiangsu Provincial Public Security Department Traffic Police Corps
Publication type: Journal Article
Publication date: 2025-02-17
Taylor & Francis
scimago Q1
wos Q2
SJR: 0.997
CiteScore: 8.6
Impact factor: 3.1
ISSN: 23249935, 23249943
Found 

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Zhang W. et al. Incident detection for freeways based on a dual-state traffic factor state network // Transportmetrica A: Transport Science. 2025. pp. 1-29.
GOST all authors (up to 50) Copy
Zhang W., Zha H., Gan L., Wang He, Wang T. Incident detection for freeways based on a dual-state traffic factor state network // Transportmetrica A: Transport Science. 2025. pp. 1-29.
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RIS Copy
TY - JOUR
DO - 10.1080/23249935.2025.2460039
UR - https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2460039
TI - Incident detection for freeways based on a dual-state traffic factor state network
T2 - Transportmetrica A: Transport Science
AU - Zhang, Weibin
AU - Zha, Huazhu
AU - Gan, Lu
AU - Wang He
AU - Wang, Tao
PY - 2025
DA - 2025/02/17
PB - Taylor & Francis
SP - 1-29
SN - 2324-9935
SN - 2324-9943
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Zhang,
author = {Weibin Zhang and Huazhu Zha and Lu Gan and Wang He and Tao Wang},
title = {Incident detection for freeways based on a dual-state traffic factor state network},
journal = {Transportmetrica A: Transport Science},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/23249935.2025.2460039},
pages = {1--29},
doi = {10.1080/23249935.2025.2460039}
}