A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data

المؤلفون المشاركون

Wu, Hequan
Hu, Lin
Bao, Xingqian
Wu, Wenguang

المصدر

Journal of Advanced Transportation

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-06-02

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Traffic accidents are often related to the driver’s driving behavior, which is mainly decided by his or her characters.

In order to explore the correlation of traffic accident risk with driver characters, the age, driving experience, and driving style were statistically analyzed based on the China In-Depth Accident Study (CIDAS) database.

Taking the number of casualties in the accident as evaluation indicators, the grey cluster analysis was used to classify the drivers into four accident risk ranks: low, medium to low, medium to high, and high.

The results show that drivers aged 18–30 years are more likely to induce accidents; drivers with 6–10 years of driving experience have the highest risk to accidents, followed by drivers with 4-5 years of driving experience; and the driving style is also highly correlated with accident risk tendency.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hu, Lin& Bao, Xingqian& Wu, Hequan& Wu, Wenguang. 2020. A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1181063

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hu, Lin…[et al.]. A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1181063

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hu, Lin& Bao, Xingqian& Wu, Hequan& Wu, Wenguang. A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1181063

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1181063