Concepedia

Scenario-based Traffic Forecasting

Scenario-Based Traffic Forecasting is a traffic forecasting methodology that, as opposed to deterministic or probabilistic approaches, generates predictions by evaluating multiple plausible future states—defined through alternative assumptions about land use, socio-economic factors, transportation policies, and technological changes—to assess the sensitivity and robustness of traffic demand under varying conditions.

25

Publications

797

Citations

75

Authors

36

Institutions

Publications per year

2017–2026

9

Parents

Publications

25

Development and transport implications of automated vehicles in the Netherlands: scenarios for 2030 and 2050

Dimitris Milakis, Maaike Snelder, Bart van Arem et al. · European journal of transport and infrastructure research · 2017 · 182 citations · Full text

, , +16

Towards 5G: Scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure

Edward J. Oughton, Zoraida Frías, Tom Russell et al. · Technological Forecasting and Social Change · 2018 · 108 citations · Full text

, , +17

Scenario-based air traffic flow management: From theory to practice

Pei-Chen Barry Liu, Mark Hansen, Avijit Mukherjee · Transportation Research Part B Methodological · 2008 · 106 citations

, , +14

What Kinds of Traffic Forecasts are Possible?

Petter Næss, Arvid Strand · Journal of Critical Realism · 2012 · 30 citations

, , +17

Forecasting mobile broadband traffic: Application of scenario analysis and Delphi method

Sungjoo Lee, Chanwoo Cho, Een‐Kee Hong et al. · Expert Systems with Applications · 2015 · 29 citations

, , +15

1–5 of 25

Authors

75

  1. DM
    Dimitris Milakis

    Delft University of Technology, Netherlands

    2 publications · 210 citations

    2

    h-index

  2. BV
    Bart van Arem

    Delft University of Technology, Netherlands

    2 publications · 210 citations

    2

    h-index

  3. GH
    Gonçalo Homem de Almeida Correia

    Delft University of Technology, Netherlands

    2 publications · 210 citations

    2

    h-index

  4. MS
    Maaike Snelder

    Delft University of Technology, Netherlands

    2 publications · 210 citations

    2

    h-index

  5. TS
    Tom Schipper

    Karlsruhe Institute of Technology, Germany

    1 publications · 20 citations

    1

    h-index

1–5 of 75

Institutions

36

  1. Delft University of Technology

    Delft, The Netherlands

    2 h-index

    7 publications

    936 citations

  2. Aalborg University

    Aalborg, Denmark

    1 h-index

    1 publications

    30 citations

  3. Research Center for Eco-Environmental Sciences

    Beijing, China

    1 h-index

    3 publications

    42 citations

  4. Karlsruhe Institute of Technology

    Karlsruhe, Germany

    1 h-index

    5 publications

    100 citations

  5. University of Cambridge

    Cambridge, United Kingdom

    1 h-index

    1 publications

    108 citations

  6. Eurac Research

    Bolzano, Italy

    1 h-index

    1 publications

    20 citations

  7. Universidad Politécnica de Madrid

    Madrid, Spain

    1 h-index

    1 publications

    108 citations

  8. Ningbo University

    Ningbo, China

    1 h-index

    3 publications

    69 citations

1–8 of 36

Venues

  1. 2

    h-index

  2. Expert Systems with Applications

    1 publications · 29 citations

    1

    h-index

  3. 1

    h-index

  4. Research Repository (Delft University of Technology)

    Repository · 1 publications · 28 citations

    1

    h-index

  5. Environmental Science and Pollution Research

    ESPR · 1 publications · 14 citations

    1

    h-index

1–5