A time-embedded attention-based transformer for crash likelihood prediction at intersections using connected vehicle data-Reference-Cited by-同舟云学术

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A time-embedded attention-based transformer for crash likelihood prediction at intersections using connected vehicle data

Published:2024-12 Issue: Volume:169 Page:104831
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Anik B M Tazbiul Hassan,Islam Zubayer^ORCID,Abdel-Aty Mohamed^ORCID

Publisher

Elsevier BV

Reference59 articles.

1. The concept of proactive traffic management for enhancing freeway safety and operation;Abdel-Aty;ITE Journal,2010

2. Crash estimation at signalized intersections along corridors: analyzing spatial effect and identifying significant factors;Abdel-Aty;Transp. Res. Rec.,2006

3. Real-time big data analytics and proactive traffic safety management visualization system;Abdel-Aty;Journal of Transportation Engineering, Part a: Systems,2023

4. Using vision transformers for spatial-context-aware rain and road surface condition detection on freeways;Abdelraouf;IEEE Trans. Intell. Transp. Syst.,2022

5. The viability of using automatic vehicle identification data for real-time crash prediction;Ahmed;IEEE Trans. Intell. Transp. Syst.,2011

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