Traffic Volume Forecasting

Traffic Volume Forecasting is a predictive modeling method within transportation planning that estimates future vehicular flow on road networks by analyzing historical traffic data, land use patterns, and travel behavior, distinguished from broader traffic demand forecasting by its focus on aggregate volume rather than mode choice, trip distribution, or assignment.

347

Publications

18.5K

Citations

981

Authors

372

Institutions

Publications per year

2017–2026

151

Authors

981

  1. BL
    Brian L. Smith

    University of Virginia, United States

    5 publications · 825 citations

    5

    h-index

  2. YX
    Yuanchang Xie

    University of Massachusetts Lowell, United States

    4 publications · 679 citations

    4

    h-index

  3. MJ
    M J Demetsky

    Virginia Transportation Research Council, United States

    4 publications · 752 citations

    4

    h-index

  4. YZ
    Yunlong Zhang

    Texas A&M University, United States

    5 publications · 876 citations

    4

    h-index

  5. AW
    Adel W. Sadek

    University at Buffalo, State University of New York, United States

    4 publications · 201 citations

    4

    h-index

1–5 of 981

Venues

  1. 22

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  2. 11

    h-index

  3. 10

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  4. IEEE Access

    8 publications · 195 citations

    8

    h-index

  5. IET Intelligent Transport Systems

    8 publications · 534 citations

    8

    h-index

1–5