Utilizing support vector machine in real-time crash risk evaluation R Yu, M Abdel-Aty Accident Analysis & Prevention 51, 252-259, 2013 | 368 | 2013 |
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 | 275* | |
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 | 227 | 2013 |
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 | 164 | 2014 |
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 | 162 | 2015 |
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 | 160 | 2014 |
Multi-level Bayesian analyses for single-and multi-vehicle freeway crashes R Yu, M Abdel-Aty Accident Analysis & Prevention 58, 97-105, 2013 | 148 | 2013 |
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 | 109 | 2017 |
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 | 100 | 2014 |
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 | 95 | 2018 |
Investigating the different characteristics of weekday and weekend crashes R Yu, M Abdel-Aty Journal of safety research 46, 91-97, 2013 | 84 | 2013 |
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 | 77 | 2013 |
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 | 76 | 2018 |
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 | 75 | 2016 |
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 | 72 | 2020 |
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 | 62 | 2020 |
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 | 61 | 2013 |
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 | 58 | 2021 |
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 | 58 | 2018 |
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 | 55 | 2016 |