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A platform for research: civil engineering, architecture and urbanism
Impact Estimation of Traffic Accident Duration Based on Survival Analysis by Using Field Urban Traffic Condition
https://orcid.org/http://orcid.org/0000-0002-2468-8888
https://orcid.org/http://orcid.org/0000-0001-6263-7187
Analyzing and predicting accident duration is important in the field of Traffic Incident Management (TIM). This study imports survival analysis to identify the influencing factors for the duration of urban arterial-way accidents based on field accident data and traffic condition data. First, the Kaplan-Meier method is used to compare the accident duration distributions under different attribute values. And then, the Cox proportional hazard model is developed to investigate the relationship between accident duration and different attributes. Finally, the analysis result shows that the impacted duration of nighttime accidents and off-rush time accidents is significantly longer than that of daytime accidents and rush-hour accidents, and the arrival time of TIM staff and accident location significantly influence the risk of accident ending. The proposed model can help accident clearance operators investigate urban traffic accident duration and make real-time management strategies.
Impact Estimation of Traffic Accident Duration Based on Survival Analysis by Using Field Urban Traffic Condition
https://orcid.org/http://orcid.org/0000-0002-2468-8888
https://orcid.org/http://orcid.org/0000-0001-6263-7187
Analyzing and predicting accident duration is important in the field of Traffic Incident Management (TIM). This study imports survival analysis to identify the influencing factors for the duration of urban arterial-way accidents based on field accident data and traffic condition data. First, the Kaplan-Meier method is used to compare the accident duration distributions under different attribute values. And then, the Cox proportional hazard model is developed to investigate the relationship between accident duration and different attributes. Finally, the analysis result shows that the impacted duration of nighttime accidents and off-rush time accidents is significantly longer than that of daytime accidents and rush-hour accidents, and the arrival time of TIM staff and accident location significantly influence the risk of accident ending. The proposed model can help accident clearance operators investigate urban traffic accident duration and make real-time management strategies.
Impact Estimation of Traffic Accident Duration Based on Survival Analysis by Using Field Urban Traffic Condition
https://orcid.org/http://orcid.org/0000-0002-2468-8888
https://orcid.org/http://orcid.org/0000-0001-6263-7187
Analyzing and predicting accident duration is important in the field of Traffic Incident Management (TIM). This study imports survival analysis to identify the influencing factors for the duration of urban arterial-way accidents based on field accident data and traffic condition data. First, the Kaplan-Meier method is used to compare the accident duration distributions under different attribute values. And then, the Cox proportional hazard model is developed to investigate the relationship between accident duration and different attributes. Finally, the analysis result shows that the impacted duration of nighttime accidents and off-rush time accidents is significantly longer than that of daytime accidents and rush-hour accidents, and the arrival time of TIM staff and accident location significantly influence the risk of accident ending. The proposed model can help accident clearance operators investigate urban traffic accident duration and make real-time management strategies.
Impact Estimation of Traffic Accident Duration Based on Survival Analysis by Using Field Urban Traffic Condition
Lecture Notes in Civil Engineering
Guo, Wei (editor) / Qian, Kai (editor) / Lyu, Duanya (author) / Lin, Yongjie (author)
International Conference on Green Building, Civil Engineering and Smart City ; 2022 ; Guilin, China
Proceedings of the 2022 International Conference on Green Building, Civil Engineering and Smart City ; Chapter: 128 ; 1247-1254
2022-09-08
8 pages
Article/Chapter (Book)
Electronic Resource
English
Modeling Duration of Urban Traffic Congestion
| Online Contents | 2002
Engineering Index Backfile | 1953
Analysis of Traffic Accident Reconstruction Uncertainty
| ASCE | 2008