Al-Qadisiyah Journal for Engineering Sciences

Analysis of rural road traffic crashes in Al-Diwaniyah province using artificial neural network

Document Type : Research Paper

Authors

Taghreed Shakir Khuzan 1
Mohammed A. Al-Jumailib 2

1 Roads and Transport Department, College of Engineering, University of Al-Qadisiyah, Iraq

2 Department of Civil Engineering, College of Engineering, University of Kufa, Najaf, Iraq

https://doi.org/10.30772/qjes.v15i4.856
Abstract
Traffic crash commonly referred to as a car crashes with another vehicle or other objects, such as pedestrians, animals, road barriers, or other immovable structures like a utility pole or wall. This can result in injuries, fatalities, vehicle and road damage. In latest years, the number of traffic crashes has increased in Iraq, particularly on rural roads. Because of the severity of the rural road crash problem in Iraq, it has become critical to investigate and understand the causes of rural road traffic crashes. Rural road traffic crashes in Al-Diwaniyah Province haven't been highlighted since 2003. According to the Planning Ministry's yearly statistical report, Iraq (2020) the  number of crashes recorded in Iraq is 8186, 587 of them are in Al-Diwaniyah Governorate. The percentage of traffic crashes in 2020 inside the city was 47.01% and outside it was 52.99%. The goal of this research is to analyze traffic crash data to identify the crucial factors that impact the occurrence of vehicle crashes in Al-Diwaniyah Province.

Keywords

Traffic crash
ANN
Rural roads
CSO
Al-Qadisiyah Journal for Engineering Sciences
Volume 15, Issue 4
Autumn 2022
Pages 224-228

  • Receive Date 04 August 2022
  • Revise Date 02 October 2022
  • Accept Date 05 November 2022

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