Studying the response of drivers against different collision warning systems: A review

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. Proceedings of SPIE - The International Society for Optical Engineering, 10338.

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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.

Item Type: Article
Impact Factor: cited By 0
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 23 Apr 2018 01:04
Last Modified: 23 Apr 2018 01:04

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