Review Papers | Computer Science & Engineering | Iraq | Volume 9 Issue 1, January 2020
Review of Incident Duration Prediction Methods
Zainab Ali Mohammed, Mohammed Najm Abdullah, Imad Hussain Al-Hussaini
Traffic incidents cause a significant loss of life, economy, and productivity over injuries and fatalities, extended travel time and delay, and air pollution. Traffic incidents are one of the main causes of the Non-recurrent congestion which in turn can lead to secondary incidents. Predicting accurately incident duration plays an important role in reducing the influence of the Non-recurrent congestion on road capacity reduction and massive travel time loss. The objective of this paper is to give a thorough review of the studies and researches, mainly include the various phases of incident duration, data resources, and the different methods that are used in the duration time prediction and traffic incident duration influence factor analysis
Keywords: Incident Duration, Prediction, Machine Learning, Influence Factors
Edition: Volume 9 Issue 1, January 2020
Pages: 292 - 298
How to Cite this Article?
Zainab Ali Mohammed, Mohammed Najm Abdullah, Imad Hussain Al-Hussaini, "Review of Incident Duration Prediction Methods", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203779, Volume 9 Issue 1, January 2020, 292 - 298
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