Traffic Interaction Models

Traffic Interaction Models is a computational framework that formalizes the dynamic, spatiotemporal relationships and behavioral dependencies among road users within traffic environments to enable the analysis, prediction, and simulation of multi-agent interactions in autonomous and human-driven driving scenarios.

207

Publications

9.5K

Citations

538

Authors

218

Institutions

Publications per year

2017–2026

116

Authors

538

  1. IK
    Ilya Kolmanovsky

    University of Michigan, United States

    8 publications · 733 citations

    8

    h-index

  2. AG
    Anouck Girard

    University of Michigan, United States

    8 publications · 733 citations

    8

    h-index

  3. NL
    Nan Li

    University of Michigan, United States

    6 publications · 661 citations

    6

    h-index

  4. GM
    Gustav Markkula

    University of Leeds, United Kingdom

    4 publications · 323 citations

    5

    h-index

  5. NM
    Natasha Merat

    University of Leeds, United Kingdom

    4 publications · 323 citations

    5

    h-index

1–5 of 538

Venues

  1. 12

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  2. 8

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  3. arXiv (Cornell University)

    Repository · 8 publications · 197 citations

    8

    h-index

  4. 8

    h-index

  5. Accident Analysis & Prevention

    7 publications · 172 citations

    7

    h-index

1–5