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- W165559736 abstract "Yellow signal change at intersections may contribute to a greater variability in driver's stop/go decisions and red-light running violations, which increase the probabilities of rear-end and angle crashes, respectively. In this study, a field data collection was conducted at a high-speed signalized intersection, where a three-camera video-based system was used to record the driver's behaviors related to the yellow signal change. Observed data include driver's stop/go decision, red-light running violation, lane position in the highway, position (leading/following) in the traffic flow, vehicle type, and vehicle's yellow-onset speeds and distances from the intersection. Further, classification tree models were applied to analyze how the probabilities of stop/go decision and red-light running are associated with the traffic parameters. The data analysis indicated that the vehicle's yellow-onset distance, operating speed, and position in the traffic flow are the most important predictors for both the stop/go decision and red-light running violation. This study illustrates that the tree models are helpful to accurately recognize and predict how drivers make stop/go decisions and how they are involved in red-light running violations corresponding to the traffic parameters in a comprehensive manner." @default.
- W165559736 created "2016-06-24" @default.
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- W165559736 date "2008-01-01" @default.
- W165559736 modified "2023-09-28" @default.
- W165559736 title "Classification Analysis of Driver's Stop or Go Decision and Red-Light Running Violation" @default.
- W165559736 hasPublicationYear "2008" @default.
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