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

Authors

209

  1. SG
    Stephen G. Ritchie

    University of California, Irvine, United States

    2 publications · 207 citations

    2

    h-index

  2. RA
    Richard Andrášik

    Transport Research Centre, Czechia

    2 publications · 119 citations

    2

    h-index

  3. LF
    Lei Fang

    Fudan University, China

    2 publications · 35 citations

    2

    h-index

  4. HA
    H. Araki

    Kyoto University, Japan

    2 publications · 56 citations

    2

    h-index

  5. JS
    Jiří Sedoník

    Transport Research Centre, Czechia

    2 publications · 119 citations

    2

    h-index

1–5 of 209

Venues

  1. Accident Analysis & Prevention

    14 publications · 785 citations

    13

    h-index

  2. 2

    h-index

  3. Ecological Informatics

    2 publications · 70 citations

    2

    h-index

  4. Landscape Ecology

    2 publications · 109 citations

    2

    h-index

  5. Journal of Guidance Control and Dynamics

    2 publications · 58 citations

    2

    h-index

1–5