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• W596291723 abstract "Traffic crashes may not always result in severe or fatal injuries, but can still have nontrivial impact on system performance, particularly during heavy traffic conditions. One way toward reducing the frequency of such incidents is to first identify the necessary circumstances that resulted in the collision. However, road accidents, particularly intersection related crashes, are complex phenomenon and may result from different combination of causal factors, Recently methods for recording high-resolution arterial traffic data have been developed, and it is important for traffic safety engineers to explore such high-resolution data to understand the causes of crashes. This study illustrates one particular intersection crash resulting from a signal violation, how high-resolution event-based data obtained from loop detectors can be used to identify the incident and the vehicles involved in the crash. The authors also illustrate how high-resolution data could support a traditional reconstruction of this crash. A Monte Carlo simulation technique was used to estimate the most probable combination of the driver behaviors that resulted in the collision. It was found that the excessive speed of the vehicle violating the red light was the most critical factor contributing to the crash." @default.
• W596291723 created "2016-06-24" @default.
• W596291723 creator A5020301939 @default.
• W596291723 creator A5052875176 @default.
• W596291723 date "2011-01-01" @default.
• W596291723 modified "2023-09-24" @default.
• W596291723 title "Can High-Resolution Detectors and Signal Data Support Intersection Crash Identification and Reconstruction?" @default.
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• W596291723 hasPublicationYear "2011" @default.
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