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Finding correlations between driver stress and traffic accidents: An experimental study

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dc.date.accessioned 2019-01-22T20:56:59Z
dc.date.available 2019-01-22T20:56:59Z
dc.date.issued 2018
dc.identifier.issn 2190-3018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149574
dc.description.abstract © Springer International Publishing AG 2018. 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.
dc.relation.ispartofseries Smart Innovation, Systems and Technologies
dc.subject Cube of emotions
dc.subject Physiological sensors
dc.subject Stress detection
dc.subject Traffic accident
dc.title Finding correlations between driver stress and traffic accidents: An experimental study
dc.type Conference Paper
dc.relation.ispartofseries-volume 74
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 190
dc.source.id SCOPUS21903018-2018-74-SID85020436406

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  • Публикации сотрудников КФУ Scopus [22633]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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