Predicting Severity and Duration of Road Traffic Accident

This paper presents a model system to predict severity and duration of traffic accidents by employing Ordered Probit model and Hazard model, respectively. The models are estimated using traffic accident data collected in Jilin province, China, in 2010. With the developed models, three severity indic...

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Bibliographic Details
Published in:Mathematical problems in engineering 2013-01, Vol.2013 (2013), p.1-9
Main Authors: Zhu, Xiumei, Wang, Lu, Zong, Fang, Yu, Bo, Xu, Hong-guo
Format: Article
Language:English
Subjects:
Accident data
Accident prediction
Fatalities
Goodness of fit
Injuries
Property damage
Studies
Traffic accidents
Traffic accidents & safety
Traffic congestion
Traffic models
Traffic safety
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Summary:This paper presents a model system to predict severity and duration of traffic accidents by employing Ordered Probit model and Hazard model, respectively. The models are estimated using traffic accident data collected in Jilin province, China, in 2010. With the developed models, three severity indicators, namely, number of fatalities, number of injuries, and property damage, as well as accident duration, are predicted, and the important influences of related variables are identified. The results indicate that the goodness-of-fit of Ordered Probit model is higher than that of SVC model in severity modeling. In addition, accident severity is proven to be an important determinant of duration; that is, more fatalities and injuries in the accident lead to longer duration. Study results can be applied to predictions of accident severity and duration, which are two essential steps in accident management process. By recognizing those key influences, this study also provides suggestive results for government to take effective measures to reduce accident impacts and improve traffic safety.
ISSN:1024-123X
1563-5147
DOI:10.1155/2013/547904