| 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 |
| Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections F Huang, P Liu, H Yu, W Wang Accident Analysis & Prevention 50, 1014-1024, 2013 | 305 | 2013 |
| 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 |
| A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data J Bao, P Liu, SV Ukkusuri Accident Analysis & Prevention 122, 239-254, 2019 | 263 | 2019 |
| 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 |
| A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling C Wang, Y Xie, H Huang, P Liu Accident Analysis & Prevention 157, 106157, 2021 | 244 | 2021 |
| 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 |
| Using geographically weighted Poisson regression for county-level crash modeling in California Z Li, W Wang, P Liu, JM Bigham, DR Ragland Safety science 58, 89-97, 2013 | 228 | 2013 |
| 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 |
| Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities Z Li, W Wang, P Liu, DR Ragland Transportation Research Part D: Transport and Environment 17 (3), 256-261, 2012 | 182 | 2012 |
| Comparative analysis of the spatial analysis methods for hotspot identification H Yu, P Liu, J Chen, H Wang Accident Analysis & Prevention 66, 80-88, 2014 | 157 | 2014 |
| Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas R Fan, H Yu, P Liu, W Wang IET Intelligent Transport Systems 7 (1), 68-77, 2013 | 156 | 2013 |
| Comparative analysis of the safety effects of electric bikes at signalized intersections L Bai, P Liu, Y Chen, X Zhang, W Wang Transportation research part D: transport and environment 20, 48-54, 2013 | 148 | 2013 |
| 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 Genetic Programming Model for Real-Time Crash Prediction on Freeways C Xu, W Wang, P Liu IEEE Transactions on Intelligent Transportation Sys., 1-13, 2013 | 138 | 2013 |
| 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 |
| 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 |
| Evaluating the safety impacts of the number and arrangement of lanes on freeway exit ramps. H Chen, P Liu, JJ Lu, B Behzadi Accident analysis and prevention 41 (3), 543, 2009 | 113 | 2009 |
| Modeling correlation and heterogeneity in crash rates by collision types using full Bayesian random parameters multivariate Tobit model Y Guo, Z Li, P Liu, Y Wu Accident Analysis & Prevention 128, 164-174, 2019 | 108 | 2019 |
Chengcheng XuProfessor in School of Transportation, Southeast University在 seu.edu.cn 的电子邮件经过验证
