Using physiological and behavioral measurements in a picture-based road hazard perception experiment to classify risky and safe drivers |
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| Affiliation: | 1. The Interdisciplinary Department of Social Sciences, Bar Ilan University, Ramat-Gan 52900, Israel;2. Department of Management, Bar Ilan University, Israel;1. University of Tübingen, Department of Computer Science, Sand 14, 72076 Tübingen, Germany;2. Hochschule Aalen, Kompetenzzentrum Vision Research, Anton-Huber-Strasse 23, 73430 Aalen, Germany;3. University of Tübingen, Centre for Ophthalmology, Institute for Ophthalmic Research, Germany;4. Daimler AG, Research and Development, 71059 Sindelfingen, Germany;5. University of Leicester, Department of Ophthalmology, Leicester Royal Infirmary, United Kingdom;1. Department of Architecture and Civil Engineering, City University of Hong Kong, AC1, Y6621, Tat Chee Ave, Kowloon, Hong Kong;2. Department of Civil and Environmental Engineering, Northeastern University, 433 SN, 360 Huntington Avenue, Boston, MA 02115, United States;3. Institute of Project Management and Construction Technology, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;4. China State Construction Engineering Corporation, 15 Sanlihe Road, Haidian District, Beijing 100037, China;1. Psychology Research Group, Bournemouth University, Talbot Campus, Fern Barrow, Poole, Dorset BH12 5BB, UK;2. School of Health Sciences, University of Salford, Salford M5 4WT, UK;3. Department of Psychology, Anglia Ruskin University, East Road, Cambridge CB1 1PT, UK |
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| Abstract: | Every year, a considerable number of people got injured or even lost their lives in road traffic accidents. To decrease the number of fatalities and injuries, researchers are seeking methods to identify and restrain drivers before the happening of actual traffic accidents, who possess dangerous driving behaviors and may cause road traffic accidents. Such methods are usually exploited to decide drivers’ fitness to drive—an indicator to describe whether they are fit for driving. The aim of this study is to measure drivers’ physiological and behavioral responses to road hazards and to extract features from measurements for further classification of risky and safe drivers. 42 drivers participated in a picture-based road hazard perception experiment, where electroencephalography (EEG), electrodermal activity (EDA), behavioral responses to road hazards, multidimensional driving style inventory (MDSI) questionnaire, and demographic information were recorded. Results indicated that 5 specific physiological features regarding to road hazard perception showed significant differences between risky and safe drivers. Subsequently, participants were classified into risky or safe drivers group by applying only the 5 features. 81.82% and 77.78% accuracy of classification were attained for risky and safe drivers, respectively. It was evidenced that using physiological and behavioral responses to evaluate drivers’ road hazard perception might be utilized as a tool to measure drivers’ fitness to drive. For further studies, improvements to future experiment design were discussed. |
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| Keywords: | Driving behavior Hazard perception Electroencephalography (EEG) Electrodermal activity (EDA) Multidimensional driving style inventory (MDSI) Fitness to drive |
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