title: Evaluation of rear-end crash risk at work zone using work zone traffic data.
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.
authors.affiliation: Department of Civil Engineering, National University of Singapore, 1 Enginerring Drive 2, Singapore 117576, Singapore. cvemq@nus.edu.sg
authors.forename: Qiang
authors.initials: Q
authors.lastname: Meng
authors.forename: Jinxian
authors.initials: J
authors.lastname: Weng
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D003654:Deceleration; D006801:Humans; D015233:Models, Statistical; D018986:Motor Vehicles; D012044:Regression Analysis; D012306:Risk; D018570:Risk Assessment; D012846:Singapore; D014741:Video Recording; D017132:Workplace