Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost
Li, Pei, Chen, Sikai, Yue, Lishengsa, Xu, Yuan, Noyce, David A.
Published in Accident analysis and prevention (01.08.2024)
Published in Accident analysis and prevention (01.08.2024)
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Automated vehicle crash sequences: Patterns and potential uses in safety testing
Song, Yu, Chitturi, Madhav V., Noyce, David A.
Published in Accident analysis and prevention (01.04.2021)
Published in Accident analysis and prevention (01.04.2021)
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Effectiveness of Experimental Transverse-Bar Pavement Marking as Speed-Reduction Treatment on Freeway Curves
Gates, Timothy J., Qin, Xiao, Noyce, David A.
Published in Transportation research record (01.01.2008)
Published in Transportation research record (01.01.2008)
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Understanding driver distractions in fatal crashes: An exploratory empirical analysis
Qin, Lingqiao, Li, Zhixia (Richard), Chen, Zhijun, Andi Bill, M.S., Noyce, David A.
Published in Journal of safety research (01.06.2019)
Published in Journal of safety research (01.06.2019)
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Modeling Reservation-Based Autonomous Intersection Control in VISSIM
Li, Zhixia, Chitturi, Madhav V., Zheng, Dongxi, Bill, Andrea R., Noyce, David A.
Published in Transportation research record (01.01.2013)
Published in Transportation research record (01.01.2013)
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Influence of following vehicle’s tailway and classification on subject driver’s response to the circular yellow indication
Mohammed, Hameed A., Hurwitz, David S., Noyce, David A., Wang, Xuesong
Published in Transportation research. Part F, Traffic psychology and behaviour (01.02.2021)
Published in Transportation research. Part F, Traffic psychology and behaviour (01.02.2021)
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