Downloads: 243 | Views: 438 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Review Papers | Computer Science & Engineering | Iraq | Volume 9 Issue 1, January 2020 | Popularity: 6.7 / 10
Review of Incident Duration Prediction Methods
Zainab Ali Mohammed, Mohammed Najm Abdullah, Imad Hussain Al-Hussaini
Abstract: 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
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 179 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020
Pages: 457 - 461Artificial Intelligence for Hiring
Ishan Borker, Ashok Veda
Downloads: 666 | Weekly Hits: ⮙3 | Monthly Hits: ⮙6
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
Downloads: 138 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015
Pages: 2246 - 2249Packet Analysis with Network Intrusion Detection System
Rashmi Hebbar, Mohan K
Downloads: 0
Comparative Studies, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023
Pages: 194 - 199A Comparative Study of Analyzing Breast Cancer as Benign or Malignant using Machine Learning Algorithms
Nigel Jonathan Renny, Timothy William Richard, Dr. M. Maheswari
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 12 Issue 1, January 2023
Pages: 404 - 407Detection of Stroke Disease Using Machine Learning
Kavyashree CC, Srividya A, Pavithra S, Mohammed Salamath, Priyanka M N