Concepedia

Incident Impact Forecasting

Incident Impact Forecasting is a predictive modeling approach within traffic demand forecasting that specifically estimates the magnitude and duration of disruptions caused by unplanned events such as accidents or road closures, distinguishing it from routine traffic prediction by focusing on anomalous condition effects.

24

Publications

999

Citations

91

Authors

42

Institutions

Publications per year

2017–2026

10

Parents

Publications

24

Overview of traffic incident duration analysis and prediction

Ruimin Li, Francisco C. Pereira, Moshe Ben‐Akiva · European Transport Research Review · 2018 · 109 citations · Full text

, , +17

Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios

Francisco C. Pereira, Filipe Rodrigues, Moshe Ben‐Akiva · Journal of Intelligent Transportation Systems · 2013 · 107 citations · Full text

, , +17

Incident management integration tool: dynamically predicting incident durations, secondary incident occurrence and incident delays

Asad J. Khattak, Xin Wang, Hui Zhang · IET Intelligent Transport Systems · 2012 · 104 citations

, , +16

Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

Marios Sekadakis, Christos Katrakazas, Eva Michelaraki et al. · Accident Analysis & Prevention · 2021 · 77 citations · Full text

, , +11

Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany

Heiko Apel, Sergiy Vorogushyn, Bruno Merz · Natural hazards and earth system sciences · 2022 · 74 citations · Full text

, , +16

1–5 of 24

Authors

91

  1. CG
    Chetan Gupta

    Hitachi Global Storage Technologies (United States), United States

    3 publications · 143 citations

    3

    h-index

  2. CS
    Cyrus Shahabi

    University of Southern California, United States

    2 publications · 104 citations

    2

    h-index

  3. MB
    Moshe Ben‐Akiva

    Massachusetts Institute of Technology, United States

    2 publications · 216 citations

    2

    h-index

  4. FC
    Francisco C. Pereira

    Technical University of Denmark, Denmark

    2 publications · 216 citations

    2

    h-index

  5. UD
    Ugur Demiryurek

    University of Southern California, United States

    2 publications · 104 citations

    2

    h-index

1–5 of 91

Institutions

42

  1. University of Southern California

    Los Angeles, United States

    2 h-index

    6 publications

    312 citations

  2. IIT@MIT

    Cambridge, United States

    2 h-index

    2 publications

    216 citations

  3. Tsinghua University

    Beijing, China

    2 h-index

    4 publications

    190 citations

  4. Hewlett-Packard (United States)

    Palo Alto, United States

    2 h-index

    2 publications

    106 citations

  5. University of Vermont

    Burlington, United States

    1 h-index

    1 publications

    18 citations

  6. University of Cambridge

    Cambridge, United Kingdom

    1 h-index

    1 publications

    11 citations

  7. Mosaic ATM (United States)

    Leesburg, United States

    1 h-index

    2 publications

    36 citations

  8. Civil Aviation University of China

    Tianjin, China

    1 h-index

    1 publications

    17 citations

1–8 of 42

Venues

  1. Accident Analysis & Prevention

    2 publications · 121 citations

    2

    h-index

  2. Knowledge and Information Systems

    1 publications · 37 citations

    1

    h-index

  3. Australian Journal of Emergency Management

    1 publications · 20 citations

    1

    h-index

  4. Proceedings of the Winter Simulation Conference 2014

    Conference · 1 publications · 19 citations

    1

    h-index

  5. Applied Mathematical Modelling

    1 publications · 31 citations

    1

    h-index

1–5