Automation in Traffic Engineering to Prevent Road Accidents: A Review

Musarat, Muhammad Ali; Altaf, Muhammad; Rabbani, Muhammad Babar Ali; Alaloul, Wesam Salah; Alzubi, Khalid Mhmoud; Salaheen, Marsail Al

doi:10.1109/ieeeconf53624.2021.9668167

Cited by 2 publications

(1 citation statement)

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“…It was found that the regression technique handles the collection of road data effectively and there is minimal loss in the collection [34]. Similarly, with advances in automation tools, the analysis tool is greatly dependent on the real-time traffic accident data; therefore, the collection methods and their reliability greatly affect the output result [35]. The road data acquisition was assessed using seven variables on straight and curved roads.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Rabbani¹,

Musarat²,

Alaloul³

et al. 2022

IJIE

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Over time, the rate of road accidents is increasing day by day. Eventhough with various advancements, the developing countries are still struggling to eliminate this issue. One such possible solution could be adopting the advanced automated tools for the road accident data collection systems, based on which the policymakers can adopt the necessary strategies to avoid the accidents. In this manner, a review has been conducted where a comparison of road accident data collection systems was made between developing and the developed countries. It was observed that to establish a standardized system for road accident prevention, records from prior accidents play a key role in the evaluation and prediction of the accident, damage, and consequences. Moreover, the manual and digital approaches of data collection were highlighted, which revealed that digital approaches are reliable and time saving for data gathering and its compilation. This comparison is beneficial in terms of future developments in developing countries and the developed countries can act as a role model and their strategies can be implemented to reduce the accidents.

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Section: Literature Reviewmentioning

confidence: 99%