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Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection
Joint Authors
Wang, Jingheng
Wang, Xiaoyuan
Zhang, Jinglei
Wang, Jianqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Driver’s propensity is a dynamic measurement of driver’s emotional preference characteristics in driving process.
It is a core parameter to compute driver’s intention and consciousness in safety driving assist system, especially in vehicle collision warning system.
It is also an important influence factor to achieve the Driver-Vehicle-Environment Collaborative Wisdom and Control macroscopically.
In this paper, dynamic recognition model of driver’s propensity based on support vector machine is established taking the vehicle safety controlled technology and respecting and protecting the driver’s privacy as precondition.
The experiment roads travel time obtained through GPS is taken as the characteristic parameter.
The sensing information of Driver-Vehicle-Environment was obtained through psychological questionnaire tests, real vehicle experiments, and virtual driving experiments, and the information is used for parameter calibration and validation of the model.
Results show that the established recognition model of driver’s propensity is reasonable and feasible, which can achieve the dynamic recognition of driver’s propensity to some extent.
The recognition model provides reference and theoretical basis for personalized vehicle active safety systems taking people as center especially for the vehicle safety technology based on the networking.
American Psychological Association (APA)
Wang, Xiaoyuan& Wang, Jianqiang& Zhang, Jinglei& Wang, Jingheng. 2016. Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111798
Modern Language Association (MLA)
Wang, Xiaoyuan…[et al.]. Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1111798
American Medical Association (AMA)
Wang, Xiaoyuan& Wang, Jianqiang& Zhang, Jinglei& Wang, Jingheng. Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111798