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Dynamic Recognition of Driver’s Propensity Based on GPS Mobile Sensing Data and Privacy Protection
المؤلفون المشاركون
Wang, Jingheng
Wang, Xiaoyuan
Zhang, Jinglei
Wang, Jianqiang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-12
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111798
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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