Expressway rear-end crash risk evolution mechanism analysis under different traffic states-Reference-Cited by-同舟云学术

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Expressway rear-end crash risk evolution mechanism analysis under different traffic states

Published:2022-08-03 Issue:1 Volume:11 Page:510-527
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Wang Ling¹^ORCID,Zou Lingjie¹,Abdel-Aty Mohamed²^ORCID,Ma Wanjing¹^ORCID

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, People’s Republic of China

2. Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2022.2101565

Reference48 articles.

1. Assessing safety critical braking events in naturalistic driving studies

2. Real-time crash prediction in an urban expressway using disaggregated data

3. An ordered clustering algorithm based on K-means and the PROMETHEE method

4. Identifying crash type propensity using real-time traffic data on freeways

5. Prediction of rear-end conflict frequency using multiple-location traffic parameters

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1. Fusion-based intelligent decision method with factor code and factor pedigree in the system fault evolution process;Information Fusion;2024-08

2. Real-time sideswipe conflict risk prediction on the expressway;Journal of Transportation Safety & Security;2024-05-31

3. A crash occurrence risk prediction model based on variational autoencoder and generative adversarial network;Transportmetrica B: Transport Dynamics;2024-05-27

4. A trajectory data-driven approach for traffic risk prediction: incorporating variable interactions and pre-screening;International Journal of Urban Sciences;2024-05-05

5. Assessing factors influencing the occurrence of traffic conflicts: a vehicle-by-vehicle approach;Transportmetrica B: Transport Dynamics;2024-03-28

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