Queue Spillback Modeling

Queue Spillback Modeling is a traffic flow management method that specifically captures the propagation of vehicle queues upstream in a transportation network beyond their initial origin, distinguishing it from general congestion models by explicitly representing the spatial and temporal extent of backward-moving queuing dynamics.

56

Publications

1.8K

Citations

127

Authors

58

Institutions

Publications per year

2017–2026

20

Authors

127

  1. GC
    Gang‐Len Chang

    University of Maryland, College Park, United States

    4 publications · 205 citations

    4

    h-index

  2. MC
    Michiel C.J. Bliemer

    The University of Sydney, Australia

    4 publications · 147 citations

    4

    h-index

  3. KH
    Ke Han

    Imperial College London, United Kingdom

    3 publications · 122 citations

    3

    h-index

  4. CJ
    C J Messer

    Texas Department of Transportation, United States

    3 publications · 44 citations

    3

    h-index

  5. SQ
    Sean Qian

    Carnegie Mellon University, United States

    3 publications · 148 citations

    3

    h-index

1–5 of 127

Venues

  1. 11

    h-index

  2. Transportation Research Part B Methodological

    8 publications · 428 citations

    8

    h-index

  3. Transportation Science

    5 publications · 139 citations

    5

    h-index

  4. 4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 39 citations

    3

    h-index

1–5