Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.aap.2011.01.011
Title: Evaluation of rear-end crash risk at work zone using work zone traffic data
Authors: Meng, Q. 
Weng, J.
Keywords: Rear-end crash
Risk
Stepwise regression
Work zone
Issue Date: Jul-2011
Source: Meng, Q., Weng, J. (2011-07). Evaluation of rear-end crash risk at work zone using work zone traffic data. Accident Analysis and Prevention 43 (4) : 1291-1300. ScholarBank@NUS Repository. https://doi.org/10.1016/j.aap.2011.01.011
Abstract: This paper aims to evaluate the rear-end crash risk at work zone activity area and merging area, as well as analyze the impacts of contributing factors by using work zone traffic data. Here, the rear-end crash risk is referred to as the probability that a vehicle is involved in a rear-end crash accident. The deceleration rate to avoid the crash (DRAC) is used in measuring rear-end crash risk. Based on work zone traffic data in Singapore, three rear-end crash risk models are developed to examine the relationship between rear-end crash risk at activity area and its contributing factors. The fourth rear-end crash risk model is developed to examine the effects of merging behavior on crash risk at merging area. The ANOVA results show that the rear-end crash risk at work zone activity area is statistically different from lane positions. Model results indicate that rear-end crash risk at work zone activity area increases with heavy vehicle percentage and lane traffic flow rate. An interesting finding is that the lane closer to work zone is strongly associated with higher rear-end crash risk. A truck has much higher probability involving in a rear-end accident than a car. Further, the expressway work zone activity area is found to have much larger crash risk than arterial work zone activity area. The merging choice has the dominated effect on risk reduction, suggesting that encouraging vehicles to merge early may be the most effective method to reduce rear-end crash risk at work zone merging area. © 2011 Elsevier Ltd.
Source Title: Accident Analysis and Prevention
URI: http://scholarbank.nus.edu.sg/handle/10635/59049
ISSN: 00014575
DOI: 10.1016/j.aap.2011.01.011
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