eprintid: 9275
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/92/75
datestamp: 2023-11-09 16:21:14
lastmod: 2023-11-09 16:21:14
status_changed: 2023-11-09 16:14:43
type: conference_item
metadata_visibility: show
creators_name: Muzammel, M.
creators_name: Yusoff, M.Z.
creators_name: Malik, A.S.
creators_name: Saad, M.N.M.
creators_name: Meriaudeau, F.
title: Studying the response of drivers against different collision warning systems: A review
ispublished: pub
keywords: Accidents; Electroencephalography; Electrophysiology; Highway accidents; Highway planning; Losses; Quality control; Response time (computer systems); Vehicles; Vision, Auditory warning; Collision warning system; Economic loss; Literature reviews; Number of vehicles; Rear-end collision warnings; Vehicle accidents; World Health Organization, Alarm systems
note: cited By 2; Conference of 13th International Conference on Quality Control by Artificial Vision, QCAV 2017 ; Conference Date: 14 May 2017 Through 16 May 2017; Conference Code:127966
abstract: The number of vehicle accidents is rapidly increasing and causing significant economic losses in many countries. According to the World Health Organization, road accidents will become the fifth major cause of death by the year 2030. To minimize these accidents different types of collision warning systems have been proposed for motor vehicle drivers. These systems can early detect and warn the drivers about the potential danger, up to a certain accuracy. Many researchers study the effectiveness of these systems by using different methods, including Electroencephalography (EEG). From the literature review, it has been observed that, these systems increase the drivers' response and can help to minimize the accidents that may occur due to drivers unconsciousness. For these collision warning systems, tactile early warnings are found more effective as compared to the auditory and visual early warnings. This review also highlights the areas, where further research can be performed to fully analyze the collision warning system. For example, some contradictions are found among researchers, about these systems' performance for drivers within different age groups. Similarly, most of the EEG studies focus on the front collision warning systems and only give beep sound to alert the drivers. Therefore, EEG study can be performed for the rear end collision warning systems, against proper auditory warning messages which indicate the types of hazards. This EEG study will help to design more friendly collision warning system and may save many lives.
date: 2017
publisher: SPIE
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020244788&doi=10.1117%2f12.2266632&partnerID=40&md5=217f3bd7c38e421b6f28569fb5b3086a
id_number: 10.1117/12.2266632
full_text_status: none
publication: Proceedings of SPIE - The International Society for Optical Engineering
volume: 10338
refereed: TRUE
isbn: 9781510611214
issn: 0277786X
citation:   Muzammel, M. and Yusoff, M.Z. and Malik, A.S. and Saad, M.N.M. and Meriaudeau, F.  (2017) Studying the response of drivers against different collision warning systems: A review.  In: UNSPECIFIED.