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International Journal of Automotive Technology

, Volume 20, Issue 5, pp 1051–1063 | Cite as

Methods to Detect and Reduce Driver Stress: A Review

  • Wan-Young Chung
  • Teak-Wei Chong
  • Boon-Giin LeeEmail author
Article
  • 25 Downloads

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.

Key words

Driver stress Intelligent transportation Transportation Stress detection Stress reduction 

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Notes

Acknowledgement

This work was supported by Mid-Career Researher Program through an NRF grant funded by the Korean Government (MSIT) (No. NRF-2016R1A2B4015818), Korea.

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Copyright information

© KSAE 2019

Authors and Affiliations

  • Wan-Young Chung
    • 1
  • Teak-Wei Chong
    • 2
  • Boon-Giin Lee
    • 3
    Email author
  1. 1.Department of Electronics EngineeringPukyong National UniversityBusanKorea
  2. 2.Department of Electronics EngineeringKeimyung UniversityDaeguKorea
  3. 3.School of Computer Science, Faculty of Science and EngineeringThe University of Nottingham Ningbo ChinaNingboChina

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