Red light running crashes have always been a major concern to both researchers and practitioners. In Abu Dhabi, United Arab Emirates, the red light crashes contribute to about 60% of the total severe crashes at signalized intersections. This fact called for a project in 2013, for which new red light cameras (RLCs) were planned to cover 150 intersections in Abu Dhabi City. With the completion of the second stage of this project, 36 signalized intersections have been covered either fully (all intersection approaches) or partially (only major approaches) with a total of 108 RLCs. These RLCs are now in place and have been fully functioning since January 2014. The primary aim of this study was to examine the impact of the installed RLCs on the traffic safety performance in the city. To waive the effects of other factors, two groups were created; they include a study group (36 signalized intersections with RLCs) and a comparison group (36 similar intersections without RLCs). The results indicate a reduction of about 40% to 52% for the number of crashes and 48% to 60% for the number of fatalities and injuries. The majority of at-fault drivers were young male drivers from Asian countries with read-and-write educational level. Moreover, crashes, fatalities, and injuries were modeled using the negative binomial technique. Among 13 tested variables describing the traffic exposure, traffic violations, number of lanes, and coverage of intersections by RLCs, only the number of lanes was found significant in two significant models.
Speeding is considered as the most frequent violation type among the other traffic offences. This fact may occur due to the wide prevalence of speed enforcement among the road network. This paper aims to investigate criteria for selecting the best locations of speed cameras on rural highways. Data were collected at 76 sites of existing fixed speed cameras on rural highways of the Emirate of Abu Dhabi during a period of three months. The historical speeding violations, traffic information, aspects of the speed camera, and road characteristics were collected at each site. The statistics show that about 8,110,985 speeding violation tickets were issued between the years from 2008 till 2015 which represents around 80% of total violations. A model to predict the frequency of speeding violations was developed by using negative binomial regression approach. About fifteen independent variables/predictors were examined and are seen to significantly affect the occurrence of speeding violations frequency at a confidence level of 95%. These variables include trafficrelated variables (i.e. traffic volume, average speed, and percentage of trucks); site and camera's characteristics related variables (i.e. posted speed limit, speed margin, direction of enforcement camera, straight road segment, existence of speed change zone); and types of day. These findings can be used as selection criteria to find the best locations for installing speed cameras in the future enforcement programs.
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