| Using LSTM and GRU neural network methods for traffic flow prediction R Fu, Z Zhang, L Li 2016 31st Youth Academic Annual Conference of Chinese Association of …, 2016 | 1682 | 2016 |
| Traffic signal timing via deep reinforcement learning L Li, Y Lv, FY Wang IEEE/CAA Journal of Automatica Sinica 3 (3), 247-254, 2016 | 655 | 2016 |
| String stability for vehicular platoon control: Definitions and analysis methods S Feng, Y Zhang, SE Li, Z Cao, HX Liu, L Li Annual Reviews in Control 47, 81-97, 2019 | 505 | 2019 |
| PPCA-based missing data imputation for traffic flow volume: A systematical approach L Qu, L Li, Y Zhang, J Hu IEEE Transactions on intelligent transportation systems 10 (3), 512-522, 2009 | 464 | 2009 |
| Urban traffic signal control with connected and automated vehicles: A survey Q Guo, L Li, XJ Ban Transportation research part C: emerging technologies 101, 313-334, 2019 | 453 | 2019 |
| A survey of traffic control with vehicular communications L Li, D Wen, D Yao IEEE Transactions on Intelligent Transportation Systems 15 (1), 425-432, 2014 | 375 | 2014 |
| Cooperative driving at blind crossings using intervehicle communication L Li, FY Wang IEEE Transactions on Vehicular Technology 55 (6), 1712-1724, 2006 | 372 | 2006 |
| Milestones in autonomous driving and intelligent vehicles: Survey of surveys L Chen, Y Li, C Huang, B Li, Y Xing, D Tian, L Li, Z Hu, X Na, Z Li, S Teng, ... IEEE Transactions on Intelligent Vehicles 8 (2), 1046-1056, 2022 | 367 | 2022 |
| Efficient missing data imputing for traffic flow by considering temporal and spatial dependence L Li, Y Li, Z Li Transportation Research Part C: Emerging Technologies 34, 108-120, 2013 | 331 | 2013 |
| Capturing car-following behaviors by deep learning X Wang, R Jiang, L Li, Y Lin, X Zheng, FY Wang IEEE Transactions on Intelligent Transportation Systems 19 (3), 910-920, 2017 | 315 | 2017 |
| Intelligence Testing for Autonomous Vehicles: A New Approach L Li, WL Huang, Y Liu, NN Zheng, FY Wang IEEE Transactions on Intelligent Vehicles 1 (2), 158-166, 2016 | 308 | 2016 |
| Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control L Li, FY Wang, Q Zhou IEEE Transactions on intelligent transportation systems 7 (1), 1-19, 2006 | 293 | 2006 |
| Modeling vehicle interactions via modified LSTM models for trajectory prediction S Dai, L Li, Z Li IEEE Access 7, 38287-38296, 2019 | 280 | 2019 |
| Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence FY Wang, NN Zheng, D Cao, CM Martinez, L Li, T Liu IEEE/CAA Journal of Automatica Sinica 4 (4), 577-587, 2017 | 279 | 2017 |
| Parallel testing of vehicle intelligence via virtual-real interaction L Li, X Wang, K Wang, Y Lin, J Xin, L Chen, L Xu, B Tian, Y Ai, J Wang, ... Science robotics 4 (28), eaaw4106, 2019 | 247 | 2019 |
| Cognitive cars: A new frontier for ADAS research L Li, D Wen, NN Zheng, LC Shen IEEE Transactions on Intelligent Transportation Systems 13 (1), 395-407, 2012 | 238 | 2012 |
| The retrieval of intra-day trend and its influence on traffic prediction C Chen, Y Wang, L Li, J Hu, Z Zhang Transportation research part C: emerging technologies 22, 103-118, 2012 | 220 | 2012 |
| Trajectory data-based traffic flow studies: A revisit L Li, R Jiang, Z He, XM Chen, X Zhou Transportation Research Part C: Emerging Technologies 114, 225-240, 2020 | 212 | 2020 |
| Missing traffic data: comparison of imputation methods Y Li, Z Li, L Li IET Intelligent Transport Systems 8 (1), 51-57, 2014 | 199 | 2014 |
| Vehicle headway modeling and its inferences in macroscopic/microscopic traffic flow theory: A survey L Li, XM Chen Transportation Research Part C: Emerging Technologies 76, 170-188, 2017 | 195 | 2017 |