| Using LSTM and GRU neural network methods for traffic flow prediction R Fu, Z Zhang, L Li Chinese Association of Automation (YAC), Youth Academic Annual Conference of …, 2016 | 783 | 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 | 412 | 2016 |
| 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 | 323 | 2009 |
| 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 | 280 | 2014 |
| Cooperative driving at blind crossings using intervehicle communication L Li, FY Wang IEEE Transactions on Vehicular Technology 55 (6), 1712-1724, 2006 | 273 | 2006 |
| 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 | 269 | 2006 |
| 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 | 225 | 2013 |
| 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 | 192 | 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 | 181 | 2012 |
| 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, 2019 | 176 | 2019 |
| Urban traffic signal control with connected and automated vehicles: A survey Q Guo, L Li, XJ Ban Transportation research part C: emerging technologies, 2019 | 172 | 2019 |
| 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 | 167 | 2016 |
| 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 | 163 | 2017 |
| 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, 2018 | 151 | 2018 |
| A Markov model for headway/spacing distribution of road traffic X Chen, L Li, Y Zhang IEEE Transactions on Intelligent Transportation Systems 11 (4), 773-785, 2010 | 137 | 2010 |
| Departure headways at signalized intersections: A log-normal distribution model approach X Jin, Y Zhang, F Wang, L Li, D Yao, Y Su, Z Wei Transportation research part C: emerging technologies 17 (3), 318-327, 2009 | 133 | 2009 |
| An empirical study on travel patterns of internet based ride-sharing Y Dong, S Wang, L Li, Z Zhang Transportation Research Part C: Emerging Technologies 86, 1-22, 2018 | 132 | 2018 |
| Robust causal dependence mining in big data network and its application to traffic flow predictions L Li, X Su, Y Wang, Y Lin, Z Li, Y Li Transportation Research Part C: Emerging Technologies 58, 292-307, 2015 | 126 | 2015 |
| IVS 05: new developments and research trends for intelligent vehicles L Li, J Song, FY Wang, W Niehsen, NN Zheng IEEE Intelligent Systems 20 (4), 10-14, 2005 | 126 | 2005 |
| Missing traffic data: comparison of imputation methods Y Li, Z Li, L Li IET Intelligent Transport Systems 8 (1), 51-57, 2014 | 124 | 2014 |
