Automation in Traffic Engineering to Prevent Road Accidents: A Review

Musarat, M.A. and Altaf, M. and Rabbani, M.B.A. and Alaloul, W.S. and Alzubi, K.M. and Al Salaheen, M. (2021) Automation in Traffic Engineering to Prevent Road Accidents: A Review. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Road accidents are one of the leading fatality rates around the globe. Even with advancements in technologies, still, the reduction in accidents is minimal. This review intends to evaluate the studies on automated prevention for road accidents. In this manner, the PRISMA statement was executed, and data extraction was made from the Scopus database. By initial screening, 75 articles were extracted, while performing the detailed screening only 22 left for final assessment. The keywords combinations were 'Automation' AND 'Road Accidents' with year limitation from 2011 to mid-2021. The extracted articles were focusing on automation aiding drivers, automation in automated vehicles, automation in crash reduction and automation aiding pedestrians, cyclists and mixed vehicles. The adaptation of these automation techniques in road safety can reduce the fatality rate, especially in developing countries where the rate is high and requires a major transformation in infrastructure. © 2021 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0
Uncontrolled Keywords: Automation; Developing countries; Highway accidents; Highway engineering; Motor transportation; Pedestrian safety; Roads and streets, reductions; Automated vehicles; Autonomous Vehicles; Conflict assessment; Data extraction; Fatality rates; Road safety; Scopus database; Traffic Engineering; Vehicles automations, Autonomous vehicles
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 01:03
Last Modified: 25 Mar 2022 01:03
URI: http://scholars.utp.edu.my/id/eprint/29135

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