Chapter
Apr 26, 2012
A Cognitive Tool to Predict Individual Accident Proneness of Vehicle Drivers
Authors: Ying Wang [email protected] and Graduate University of the Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing, 100049, P.R. China, Licheng Xue, Jing Li, Kan Zhang, and Xianghong SunAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Cognitive abilities are believed to be highly correlated with driving safety (Anderson et al., 2005). Developing cognitive tasks to predict individual traffic accident proneness could benefit both driver screening and traffic accident prevention. In this study we designed four tasks to measure vehicle drivers' cognitive abilities consisting of attention span, attention distribution, spatial working memory span, multiple object tracking and speed estimation. Significant correlation was found between these cognitive indexes and the drivers' crash frequency in a simulated driving task. Then the drivers were divided into high accident-prone group and low accident-prone group based on their crash frequency. Discriminant analysis using cognitive indexes as discriminant variables revealed an up to 94.4% highly accurate classification pattern, which approved the validity of our cognitive tool as a useful predictor of individual driver's accident proneness.
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Information
Published In
International Conference on Transportation Engineering 2009
Pages: 1238 - 1243
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Accidents
- Business management
- Correlation
- Detection methods
- Distribution functions
- Driver behavior
- Engineering fundamentals
- Highway transportation
- Infrastructure
- Mathematical functions
- Mathematics
- Methodology (by type)
- Practice and Profession
- Public administration
- Public health and safety
- Spatial distribution
- Statistics
- Tracking
- Traffic accidents
- Traffic engineering
- Traffic management
- Traffic safety
- Transportation engineering
- Vehicles
Authors
Affiliations
State Key Laboratory of Brain and Cognition, Institute of Psychology, Chinese Academy of Science, 4A Datun Road, Chaoyang District, Beijing, 100101, P.R. China. E-mail: [email protected] and Graduate University of the Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing, 100049, P.R. China
Licheng Xue
State Key Laboratory of Brain and Cognition, Institute of Psychology, Chinese Academy of Science, 4A Datun Road, Chaoyang District, Beijing, 100101, P.R. China and Graduate University of the Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing, 100049, P.R. China
Jing Li
State Key Laboratory of Brain and Cognition, Institute of Psychology, Chinese Academy of Science, 4A Datun Road, Chaoyang District, Beijing, 100101, P.R. China and Graduate University of the Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing, 100049, P.R. China
Kan Zhang
State Key Laboratory of Brain and Cognition, Institute of Psychology, Chinese Academy of Science, 4A Datun Road, Chaoyang District, Beijing, 100101, P.R. China
Xianghong Sun
State Key Laboratory of Brain and Cognition, Institute of Psychology, Chinese Academy of Science, 4A Datun Road, Chaoyang District, Beijing, 100101, P.R. China
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