Using support vector machine models for crash injury severity analysis Z Li, P Liu, W Wang, C Xu Accident Analysis & Prevention 45, 478-486, 2012 | 316 | 2012 |
The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets C Xu, J Ji, P Liu Transportation research part C: emerging technologies 95, 47-60, 2018 | 283 | 2018 |
Predicting crash likelihood and severity on freeways with real-time loop detector data C Xu, AP Tarko, W Wang, P Liu Accident Analysis & Prevention 57, 30-39, 2013 | 251 | 2013 |
Evaluation of the impacts of traffic states on crash risks on freeways C Xu, P Liu, W Wang, Z Li Accident Analysis & Prevention 47, 162-171, 2012 | 243 | 2012 |
Comparing prediction performance for crash injury severity among various machine learning and statistical methods J Zhang, Z Li, Z Pu, C Xu IEEE Access 6, 60079-60087, 2018 | 211 | 2018 |
Reinforcement learning-based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks Z Li, P Liu, C Xu, H Duan, W Wang IEEE transactions on intelligent transportation systems 18 (11), 3204-3217, 2017 | 182 | 2017 |
A crash prediction method based on bivariate extreme value theory and video-based vehicle trajectory data C Wang, C Xu, Y Dai Accident Analysis & Prevention 123, 365-373, 2019 | 166 | 2019 |
Identifying crash-prone traffic conditions under different weather on freeways C Xu, W Wang, P Liu Journal of safety research 46, 135-144, 2013 | 144 | 2013 |
Exploring bikesharing travel patterns and trip purposes using smart card data and online point of interests J Bao, C Xu, P Liu, W Wang Networks and Spatial Economics 17, 1231-1253, 2017 | 143 | 2017 |
A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation C Wang, C Xu, J Xia, Z Qian, L Lu Transportation Research Part C: Emerging Technologies 90, 281-291, 2018 | 141 | 2018 |
A genetic programming model for real-time crash prediction on freeways C Xu, W Wang, P Liu IEEE Transactions on Intelligent Transportation Systems 14 (2), 574-586, 2012 | 138 | 2012 |
Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China C Xu, J Bao, C Wang, P Liu Journal of safety research 67, 65-75, 2018 | 136 | 2018 |
Exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities Y Guo, Z Li, Y Wu, C Xu Accident Analysis & Prevention 115, 118-127, 2018 | 132 | 2018 |
Development of a variable speed limit strategy to reduce secondary collision risks during inclement weathers Z Li, Y Li, P Liu, W Wang, C Xu Accident Analysis & Prevention 72, 134-145, 2014 | 124 | 2014 |
Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes C Xu, Z Ding, C Wang, Z Li Journal of safety research 71, 41-47, 2019 | 100 | 2019 |
Integrated cooperative adaptive cruise and variable speed limit controls for reducing rear-end collision risks near freeway bottlenecks based on micro-simulations Y Li, C Xu, L Xing, W Wang IEEE transactions on intelligent transportation systems 18 (11), 3157-3167, 2017 | 97 | 2017 |
Real-time estimation of secondary crash likelihood on freeways using high-resolution loop detector data C Xu, P Liu, B Yang, W Wang Transportation research part C: emerging technologies 71, 406-418, 2016 | 96 | 2016 |
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories M Li, Z Li, C Xu, T Liu Accident Analysis & Prevention 135, 105345, 2020 | 84 | 2020 |
Development of a control strategy of variable speed limits to reduce rear-end collision risks near freeway recurrent bottlenecks Z Li, P Liu, W Wang, C Xu IEEE transactions on intelligent transportation systems 15 (2), 866-877, 2014 | 83 | 2014 |
Operational analysis of the contraflow left-turn lane design at signalized intersections in China J Wu, P Liu, ZZ Tian, C Xu Transportation research part C: emerging technologies 69, 228-241, 2016 | 82 | 2016 |