Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network

المؤلفون المشاركون

Wang, Linhong
Wang, Zhexuan
Tang, Ruru
Qi, Weiwei

المصدر

Journal of Advanced Transportation

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-10-10

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Drivers’ mistakes may cause some traffic accidents, and such accidents can be avoided if prompt advice could be given to drivers.

So, how to detect driving risk is the key factor.

Firstly, the selected parameters of vehicle movement are reaction time, acceleration, initial speed, final speed, and velocity difference.

The ANOVA results show that the velocity difference is not significant in different driving states, and the other four parameters can be used as input variables of neural network models in deceleration zone of expressway, which have fifteen different combinations.

Then, the detection model results indicate that the prediction accuracy rate of testing set is up to 86.4%.

An interesting finding is that the number of input variables is positively correlated with the prediction accuracy rate.

By applying the method, the dangerous state of vehicles could be released through mobile internet as well as drivers' start of risky behaviors, such as fatigue driving, drunk driving, speeding driving, and distracted driving.

Numerical analyses have been conducted to determine the conditions required for implementing this detection method.

Furthermore, the empirical results of the present study have important implications for the reduction of crashes.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Qi, Weiwei& Wang, Zhexuan& Tang, Ruru& Wang, Linhong. 2018. Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181701

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Qi, Weiwei…[et al.]. Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network. Journal of Advanced Transportation No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1181701

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Qi, Weiwei& Wang, Zhexuan& Tang, Ruru& Wang, Linhong. Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1181701

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1181701