A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data
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 I...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/9084245 |
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| _version_ | 1832560222460182528 |
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| author | Lin Hu Xingqian Bao Hequan Wu Wenguang Wu |
| author_facet | Lin Hu Xingqian Bao Hequan Wu Wenguang Wu |
| author_sort | Lin Hu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fe0fa3c40325478d8dbb0d7e81c40984 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-fe0fa3c40325478d8dbb0d7e81c409842025-02-03T01:28:10ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/90842459084245A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident DataLin Hu0Xingqian Bao1Hequan Wu2Wenguang Wu3School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaTraffic 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.http://dx.doi.org/10.1155/2020/9084245 |
| spellingShingle | Lin Hu Xingqian Bao Hequan Wu Wenguang Wu A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data Journal of Advanced Transportation |
| title | A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data |
| title_full | A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data |
| title_fullStr | A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data |
| title_full_unstemmed | A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data |
| title_short | A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data |
| title_sort | study on correlation of traffic accident tendency with driver characters using in depth traffic accident data |
| url | http://dx.doi.org/10.1155/2020/9084245 |
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