Abstract
Traffic accidents caused by drivers’ fatigue carry less than one percent of the whole accidents in HLJ Province during the years 2006 to 2008. However, more than forty percent of such accidents accompanied fatalities. Drivers’ fatigue is usually hard to be identified and there are no valid measures that could make real-time detection for it. Accordingly, variables such as drivers’ characteristics, time of accident and whether using seat belt are considered to have close association with the injury severity in fatigue-related traffic accidents. This research focuses on analyzing injury severities of traffic accidents caused by drivers’ fatigue, utilizing stepwise logistic regression method. Potential risk factors such as human, environment, road, and so on, were examined. Driving year, road pavement type, road grade and alignment, terrain, time and type of the accident, streetlight condition, vehicle type, speed limit, the number of vehicles involved, and whether using seat belt are significant factors impacting the injury severity. Identifying the high risk factors influencing the injury severity of fatigue-related accidents helps prevent the occurrence of drivers’ fatigue and improve road safety conditions.
Highlights
With the great development of economy and rapid increase of automobiles in China, the problem of road traffic safety is more and more serious
Applying logistic regression analysis to the data of accidents caused by driver fatigue, fifteen factors are determined to have a significant association with the injury severity of the fatigue-related accidents
Data of fatigue-related traffic accidents were extracted in order to find the high risk factors affecting the injury severity of such accidents
Summary
With the great development of economy and rapid increase of automobiles in China, the problem of road traffic safety is more and more serious. The hazard of fatigue-related accidents is very great. Utilizing both the MNL model and the LCL model, factors such as driver age, influence of alcohol or drug, seat belt usage, speed are found to be closely related to driver injury severity levels in rural single-vehicle accidents[1]. Using a stepwise logistic regression model, the district board, road type, speed limit, time of the accident, driver’s gender, and vehicle type are significant factors influencing the injury severity in multiple-vehicle traffic accidents in Hong Kong[2]. In single vehicle traffic accidents, district board, gender of driver, age of vehicle, and street light conditions are significant factors determining injury severity for private vehicles[3]. A lack of seatbelt use, a greater number of roof inversions, far side seating position and older occupant age significantly increased the risk of all types of injuries in rollover crashes[4]
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