Analysis of Road Accidents in Baghdad City

Hasan H. Joni; Ali Majeed Al-Dahawi; Omar Jabbar Al-Tamimi

doi:10.33261/jaaru.2019.26.1.018

Hasan H. Joni Department of Building and Construction Engineering / University of Technology
Ali Majeed Al-Dahawi Department of Building and Construction Engineering / University of Technology
Omar Jabbar Al-Tamimi Department of Building and Construction Engineering / University of Technology

DOI: https://doi.org/10.33261/jaaru.2019.26.1.018

Keywords: Accidents analysis, Prediction model, Baghdad city, Roadway safety, Crash data

Abstract

Road traffic accidents (RTAs) have turned out to be a huge global public health and development problem causing enormous economic and social costs. Therefore RTA has become a major concern and analyzing accident data has been an important look out to the analysts in order to find the major factors related to the accidents, and to predict the future road accidents in order to mitigate and/or eliminate them in the future.The study revealed that the main contributing factor is the human. The predominant type of crashes was run over with 53% of the total crashes.Approximately, 53% of crashes occurred on major roads, 58% of crashed occurred during day time, drivers with group ages between 24 – 29 years’ experience more crashes, and single vehicle accidents result in more casualty (fatality and injuries) compared to multi-vehicleaccidents. The most important resultobtainedfrom this study, a prediction model which link accidents with the number of registered vehicles and population.