Finding Correlations Between Driver Stress and Traffic Accidents: An Experimental Study
As the number of people getting injured or killed on the roads is constantly growing, it is crucial to identify and prevent potential factors causing traffic accidents. This paper focuses on one of such factors – namely, the drivers’ stress, which is known to be one of the main causes of traffic accidents, and timely detection of such situations becomes an important challenge. The paper aims to find a potential correlation between the driver stress when riding through a specific urban location and the recorded history of traffic accidents in that specific location. If proven, such a correlation can help to prevent traffic accidents and re-design urban spaces in a safer manner. To achieve this goal, the paper combines cross-disciplinary techniques from Computer Science and Physiology to measure drivers’ stress levels using physiological sensors during city rides, and match these experimental results against a map of previously recorded traffic accidents. As a result, the conducted study indicates that the correlation indeed exists, and measuring drivers’ stress levels using physiological sensors is a promising approach to minimise the amount of traffic accidents.
KeywordsStress detection Physiological sensors Traffic accident Cube of emotions
This work was funded by the subsidy allocated to Kazan Federal University for the state assignment in the sphere of scientific activities.
- 1.Global Health Observatory (GHO) data. http://www.who.int/gho/road_safety/mortality/en/, Accessed 02 Jan 2017
- 2.Gaisin, R., Gaisina, K.: Mathematical modelling of human fear and disgust emotional reactions based on skin surface electric potential changes. In: Proceedings of the 2017 International Conference on Artificial Life and Robotics (ICAROB 2017), pp. 331–333 (2017)Google Scholar
- 4.Healey, J., Picard, R.: Smartcar: detecting driver stress. In: 2000 Proceedings of the 15th International Conference on Pattern Recognition, vol. 4, pp. 218–221. IEEE (2000)Google Scholar