| Deep bidirectional and unidirectional LSTM recurrent neural network for network-wide traffic speed prediction Z Cui, R Ke, Z Pu, Y Wang Proceedings of the 6th International Workshop on Urban Computing (UrbComp …, 2018 | 914 | 2018 |
| Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values Z Cui, R Ke, Z Pu, Y Wang Transportation Research Part C: Emerging Technologies 118, 102674, 2020 | 533 | 2020 |
| Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke Transportation Research Part C: Emerging Technologies 117, 102662, 2020 | 528 | 2020 |
| 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 | 322 | 2018 |
| A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices R Ke, Y Zhuang, Z Pu, Y Wang IEEE Transactions on Intelligent Transportation Systems 22 (8), 4962-4974, 2020 | 277 | 2020 |
| Learning dynamic and hierarchical traffic spatiotemporal features with transformer H Yan, X Ma, Z Pu IEEE Transactions on Intelligent Transportation Systems 23 (11), 22386-22399, 2021 | 275 | 2021 |
| Characterization of ridesplitting based on observed data: A case study of Chengdu, China W Li, Z Pu, Y Li, XJ Ban Transportation Research Part C: Emerging Technologies 100, 330-353, 2019 | 245 | 2019 |
| Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction Z Cui, R Ke, Z Pu, X Ma, Y Wang Transportation Research Part C: Emerging Technologies 115, 102620, 2020 | 149 | 2020 |
| Graph Markov network for traffic forecasting with missing data Z Cui, L Lin, Z Pu, Y Wang Transportation Research Part C: Emerging Technologies 117, 102671, 2020 | 143 | 2020 |
| Applications of machine learning methods in traffic crash severity modelling: current status and future directions X Wen, Y Xie, L Jiang, Z Pu, T Ge Transport reviews 41 (6), 855-879, 2021 | 136 | 2021 |
| How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China W Li, Z Pu, Y Li, M Tu Transportation Research Part D: Transport and Environment 95, 102885, 2021 | 99 | 2021 |
| Full Bayesian before-after analysis of safety effects of variable speed limit system Z Pu, Z Li, Y Jiang, Y Wang IEEE transactions on intelligent transportation systems 22 (2), 964-976, 2020 | 78 | 2020 |
| Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change Z Pu, Z Li, J Ash, W Zhu, Y Wang Transportation Research Part C: Emerging Technologies 77, 67-79, 2017 | 68 | 2017 |
| Road surface friction prediction using long short-term memory neural network based on historical data Z Pu, C Liu, X Shi, Z Cui, Y Wang Journal of Intelligent Transportation Systems 26 (1), 34-45, 2021 | 67 | 2021 |
| Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices Z Pu, M Zhu, W Li, Z Cui, X Guo, Y Wang IEEE Internet of Things Journal 8 (1), 474-486, 2020 | 66* | 2020 |
| Multimodal traffic speed monitoring: A real-time system based on passive Wi-Fi and Bluetooth sensing technology Z Pu, Z Cui, J Tang, S Wang, Y Wang IEEE Internet of Things Journal 9 (14), 12413-12424, 2021 | 49 | 2021 |
| Simulation of pedestrian behavior during the flashing green signal using a modified social force model Z Zhou, Y Zhou, Z Pu, Y Xu Transportmetrica A: transport science 15 (2), 1019-1040, 2019 | 49 | 2019 |
| Hybrid artificial immune algorithm for optimizing a Van-Robot E-grocery delivery system D Liu, P Yan, Z Pu, Y Wang, EI Kaisar Transportation Research Part E: Logistics and Transportation Review 154, 102466, 2021 | 48 | 2021 |
| Reinforcement learning-based variable speed limits control to reduce crash risks near traffic oscillations on freeways Z Li, C Xu, Y Guo, P Liu, Z Pu IEEE Intelligent Transportation Systems Magazine 13 (4), 64-70, 2020 | 48 | 2020 |
| Evaluating the nonlinear correlation between vertical curve features and crash frequency on highways using random forests Z Pu, Z Li, R Ke, X Hua, Y Wang Journal of transportation engineering, Part A: Systems 146 (10), 04020115, 2020 | 45 | 2020 |
Yinhai WangProfessor of Civil and Environmental Engineering, University of WashingtonVerified email at uw.edu
