Collision Hazard Detection
Collision Hazard Detection is a methodological framework within transportation hazard identification that systematically identifies potential vehicular, pedestrian, or object interactions by analyzing spatiotemporal trajectories and dynamic environmental conditions to predict and distinguish imminent collision events from other forms of traffic anomalies.
66
Publications
2.4K
Citations
209
Authors
97
Institutions
Publications per year
2017–2026
36
66
Ting Fu, Weichao Hu, Luis Miranda-Moreno et al. · Transportation Research Part C Emerging Technologies · 2019 · 85 citations
Engineering, Automotive Engineering, Transportation Planning +16
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Tongji University
Shanghai, China
3 h-index
8 publications
315 citations
National Tsing Hua University
Hsinchu, Taiwan
2 h-index
7 publications
143 citations
Irvine University
Cerritos, United States
2 h-index
4 publications
414 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
115 citations
Fudan University
Shanghai, China
2 h-index
2 publications
35 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
44 citations
University of California, Irvine
Irvine, United States
2 h-index
4 publications
414 citations
Transport Research Centre
Brno, Czechia
2 h-index
7 publications
439 citations
1–8 of 97
14 publications · 785 citations
13
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2 publications · 80 citations
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2 publications · 70 citations
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2 publications · 109 citations
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2 publications · 58 citations
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