Deterministic Traffic Forecasting

Deterministic Traffic Forecasting is a traffic demand forecasting method that predicts future traffic volumes using fixed mathematical relationships without accounting for random variations or probabilistic uncertainty.

5

Publications

284

Citations

15

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

15

  1. AD
    Andrew Daly

    University of Leeds, United Kingdom

    2 publications · 133 citations

    2

    h-index

  2. SM
    Stephen Miller

    Scripps Institution of Oceanography, United States

    2 publications · 133 citations

    2

    h-index

  3. RP
    Ronald Plasmeijer

    RAND Corporation, United States

    2 publications · 133 citations

    2

    h-index

  4. FH
    Frank Hofman

    Eindhoven University of Technology, Netherlands

    2 publications · 133 citations

    2

    h-index

  5. GD
    Gerard de Jong

    University of Leeds, United Kingdom

    2 publications · 133 citations

    2

    h-index

1–5 of 15

Venues

  1. 1

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 1 publications · 121 citations

    1

    h-index

  3. AIAA Guidance, Navigation, and Control Conference and Exhibit

    Conference · 1 publications · 36 citations

    1

    h-index

  4. Transportation

    1 publications · 12 citations

    1

    h-index

  5. IFAC-PapersOnLine

    1 publications · 19 citations

    1

    h-index

1–5