Road Accident Data Collection Systems in Developing and Developed Countries: A Review

Authors

  • Muhammad Babar Ali Rabbani Sarhad University of Science & Information Technology Peshawar, Pakistan
  • Muhammad Ali Musarat Universiti Teknologi PETRONAS
  • Wesam Salah Alaloul Universiti Teknologi PETRONAS
  • Saba Ayub Universiti Teknologi PETRONAS
  • Hamna Bukhari National University of Sciences and Technology, Islamabad, Pakistan
  • Muhammad Altaf Universiti Teknologi PETRONAS

Keywords:

Road traffic accidents, Road accident data collection, Traffic data collection systems, Road safety

Abstract

The road accidents trigger major financial loss and casualties to the individual as well as the state as a whole. The intelligent safety systems are developed to provide all road users with a safe transport system. This approach acknowledges the sensitivity of individuals to extreme injury in road accidents and recognizes the need for the system for improvement. To establish a proper system for road accident prevention, records from prior accidents play a key role in the evaluation and prediction of the accident, damage, and consequences. Therefore, this study was performed to evaluate and comparing existing practices in developing and developed countries for collecting road accident data. Moreover, the manual and digital approaches of data collection are highlighted. Keeping this in mind, this review provides an overview of how developing countries currently collect their data and their data dissemination methods to extract such useful information, which could prove beneficial in deciding the road safety programs for the well-being of end-users.

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Published

07-03-2022

Issue

Section

Articles

How to Cite

Rabbani, M. B. A. ., Musarat, M. A., Alaloul, W. S., Ayub, S., Bukhari, H. ., & Altaf, M. (2022). Road Accident Data Collection Systems in Developing and Developed Countries: A Review. International Journal of Integrated Engineering, 14(1), 336-352. https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/8363