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Rongjie Yu
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Cited by
Year
Utilizing support vector machine in real-time crash risk evaluation
R Yu, M Abdel-Aty
Accident Analysis & Prevention 51, 252-259, 2013
3572013
Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data
R Yu, M Abdel-Aty
Safety Science 63, 50-56, 0
265*
Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors
R Yu
Accident Analysis and Prevention 50, 371-376, 2013
2242013
Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data
R Yu, M Abdel-Aty
Accident Analysis & Prevention 62, 161-167, 2014
1602014
A correlated random parameter approach to investigate the effects of weather conditions on crash risk for a mountainous freeway
R Yu, Y Xiong, M Abdel-Aty
Transportation research part C: emerging technologies 50, 68-77, 2015
1552015
An optimal variable speed limits system to ameliorate traffic safety risk
R Yu, M Abdel-Aty
Transportation Research Part C: Emerging Technologies 46 (1), 235-246, 2014
1552014
Multi-level Bayesian analyses for single-and multi-vehicle freeway crashes
R Yu, M Abdel-Aty
Accident Analysis & Prevention 58, 97-105, 2013
1452013
Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures
Y Peng, M Abdel-Aty, Q Shi, R Yu
Transportation research part C: emerging technologies 74, 295-305, 2017
1072017
Real-time assessment of fog-related crashes using airport weather data: A feasibility analysis
MM Ahmed, M Abdel-Aty, J Lee, R Yu
Accident Analysis & Prevention 72, 309-317, 2014
982014
Impact of data aggregation approaches on the relationships between operating speed and traffic safety
R Yu, M Quddus, X Wang, K Yang
Accident Analysis & Prevention 120, 304-310, 2018
902018
Investigating the different characteristics of weekday and weekend crashes
R Yu, M Abdel-Aty
Journal of safety research 46, 91-97, 2013
812013
Investigating different approaches to develop informative priors in hierarchical Bayesian safety performance functions
R Yu, M Abdel-Aty
Accident Analysis & Prevention 56, 51-58, 2013
782013
Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach
R Yu, X Wang, K Yang, M Abdel-Aty
Accident Analysis & Prevention 95, 495-502, 2016
732016
A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation
K Yang, X Wang, R Yu
Transportation research part C: emerging technologies 96, 192-207, 2018
712018
Convolutional neural networks with refined loss functions for the real-time crash risk analysis
R Yu, Y Wang, Z Zou, L Wang
Transportation research part C: emerging technologies 119, 102740, 2020
652020
Utilizing microscopic traffic and weather data to analyze real-time crash patterns in the context of active traffic management
R Yu, MA Abdel-Aty, MM Ahmed, X Wang
IEEE Transactions on Intelligent Transportation Systems 15 (1), 205-213, 2013
592013
Examining imbalanced classification algorithms in predicting real-time traffic crash risk
Y Peng, C Li, K Wang, Z Gao, R Yu
Accident Analysis & Prevention 144, 105610, 2020
562020
Scenario-based test automation for highly automated vehicles: A review and paving the way for systematic safety assurance
J Sun, H Zhang, H Zhou, R Yu, Y Tian
IEEE transactions on intelligent transportation systems 23 (9), 14088-14103, 2021
542021
Utilizing bluetooth and adaptive signal control data for real-time safety analysis on urban arterials
J Yuan, M Abdel-Aty, L Wang, J Lee, R Yu, X Wang
Transportation research part C: emerging technologies 97, 114-127, 2018
542018
Speed variation during peak and off-peak hours on urban arterials in Shanghai
X Wang, T Fan, W Li, R Yu, D Bullock, B Wu, P Tremont
Transportation Research Part C: Emerging Technologies 67, 84-94, 2016
532016
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