Methods to detect and reduce driver stress: a review

Chung, Wan-Young and Chong, Teak-Wei and Lee, Boon-Giin (2019) Methods to detect and reduce driver stress: a review. International Journal of Automotive Technology, 20 (5). pp. 1051-1063. ISSN 1229-9138

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Abstract

Automobiles are the most common modes of transportation in urban areas. An alert mind is a prerequisite while driving to avoid tragic accidents; however, driver stress can lead to faulty decision-making and cause severe injuries. Therefore, numerous techniques and systems have been proposed and implemented to subdue negative emotions and improve the driving experience. Studies show that conditions such as the road, state of the vehicle, weather, as well as the driver’s personality, and presence of passengers can affect driver stress. All the above-mentioned factors significantly influence a driver’s attention. This paper presents a detailed review of techniques proposed to reduce and recover from driving stress. These technologies can be divided into three categories: notification alert, driver assistance systems, and environmental soothing. Notification alert systems enhance the driving experience by strengthening the driver’s awareness of his/her physiological condition, and thereby aid in avoiding accidents. Driver assistance systems assist and provide the driver with directions during difficult driving circumstances. The environmental soothing technique helps in relieving driver stress caused by changes in the environment. Furthermore, driving maneuvers, driver stress detection, driver stress, and its factors are discussed and reviewed to facilitate a better understanding of the topic.

Item Type: Article
Additional Information: This publication is under Global University Publication Licence. This is a post-peer-review, pre-copyedit version of an article published in International Journal of Automotive Technology. The final authenticated version is available online at: http://dx.doi.org/10.1007/s12239-019-0099-3.
Keywords: Driver stress; Intelligent transportation; Transportation; Stress detection; Stress reduction
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1007/s12239-019-0099-3
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Depositing User: Wu, Cocoa
Date Deposited: 03 Sep 2019 08:05
Last Modified: 10 Aug 2020 04:30
URI: http://eprints.nottingham.ac.uk/id/eprint/57526

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