Traffic Problem Solving

Traffic Problem Solving is a problem-oriented policing methodology that systematically identifies, analyzes, and addresses recurrent traffic-related issues through targeted interventions informed by data-driven analysis and collaborative stakeholder engagement.

38

Publications

1.7K

Citations

97

Authors

53

Institutions

Publications per year

2017–2026

11

Authors

97

  1. AC
    Anthony Chen

    Utah State University, United States

    2 publications · 72 citations

    2

    h-index

  2. TP
    Tebe Parfait

    University of Electronic Science and Technology of China, China

    1 publications · 14 citations

    1

    h-index

  3. KY
    Kejiang Ye

    Shenzhen Institutes of Advanced Technology, China

    1 publications · 277 citations

    1

    h-index

  4. RE
    Richard E. Nance

    Virginia Tech, United States

    1 publications · 80 citations

    1

    h-index

  5. MD
    Muqing Du

    Hohai University, China

    1 publications · 24 citations

    1

    h-index

1–5 of 97

Venues

  1. 2

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  2. 1

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  3. ACM SIGKDD Explorations Newsletter

    1 publications · 205 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. 1

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1–5