| 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 | 340 | 2012 |
| Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow R Ke, Z Li, J Tang, Z Pan, Y Wang IEEE Transactions on Intelligent Transportation Systems 20 (1), 54-64, 2018 | 313 | 2018 |
| 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 | 253 | 2018 |
| 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 | 250 | 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 | 244 | 2013 |
| Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways Y Li, Z Li, H Wang, W Wang, L Xing Accident Analysis & Prevention 104, 137-145, 2017 | 237 | 2017 |
| Crash injury severity analysis using a two-layer Stacking framework J Tang, J Liang, C Han, Z Li, H Huang Accident Analysis & Prevention 122, 226-238, 2019 | 222 | 2019 |
| Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China Y Guo, J Zhou, Y Wu, Z Li PloS one 12 (9), e0185100, 2017 | 219 | 2017 |
| 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 | 204 | 2017 |
| Real-time bidirectional traffic flow parameter estimation from aerial videos R Ke, Z Li, S Kim, J Ash, Z Cui, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (4), 890-901, 2016 | 197 | 2016 |
| 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 | 195 | 2012 |
| Profit distribution in collaborative multiple centers vehicle routing problem Y Wang, X Ma, Z Li, Y Liu, M Xu, Y Wang Journal of cleaner production 144, 203-219, 2017 | 188 | 2017 |
| Bicycle commuting market analysis using attitudinal market segmentation approach Z Li, W Wang, C Yang, DR Ragland Transportation Research Part A: Policy and Practice 47, 56-68, 2013 | 174 | 2013 |
| High-resolution vehicle trajectory extraction and denoising from aerial videos X Chen, Z Li, Y Yang, L Qi, R Ke IEEE Transactions on Intelligent Transportation Systems 22 (5), 3190-3202, 2020 | 171 | 2020 |
| 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 | 147 | 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 | 131 | 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 | 127 | 2019 |
| 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 | 118 | 2019 |
| Estimation of origin and destination information from Bluetooth and Wi-Fi sensing for transit M Dunlap, Z Li, K Henrickson, Y Wang Transportation Research Record 2595 (1), 11-17, 2016 | 104 | 2016 |
| A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations M Li, Z Cao, Z Li IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5309-5322, 2021 | 97 | 2021 |
Pan LiuProfessor of Transportation Engineering, Southeast University在 seu.edu.cn 的电子邮件经过验证