| A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing M Zhou, H Jin, W Wang Transportation Research Part D: Transport and Environment 49, 203–218, 2016 | 188 | 2016 |
| Driving Style Classification Using a Semisupervised Support Vector Machine W Wang, J Xi, A Chong, L Li IEEE Transactions on Human-Machine Systems 47 (5), 650-660, 2017 | 148 | 2017 |
| Modeling and recognizing driver behavior based on driving data: A survey W Wang, J Xi, H Chen Mathematical Problems in Engineering 2014, 2014 | 138 | 2014 |
| Driving style analysis using primitive driving patterns with bayesian nonparametric approaches W Wang, J Xi, D Zhao IEEE Transactions on Intelligent Transportation Systems 20 (8), 2986 - 2998, 2019 | 101 | 2019 |
| A learning-based approach for lane departure warning systems with a personalized driver model W Wang, D Zhao, J Xi, W Han IEEE Transactions on Vehicular Technology 67 (10), 9145 - 9157, 2018 | 93 | 2018 |
| Learning and Inferring a Driver's Braking Action in Car-Following Scenarios W Wang, J Xi, D Zhao IEEE Transactions on Vehicular Technology 67 (5), 3887-3899, 2018 | 83 | 2018 |
| How much data are enough? A statistical approach with case study on longitudinal driving behavior W Wang, C Liu, D Zhao IEEE Transactions on Intelligent Vehicles 2 (2), 85-98, 2017 | 72 | 2017 |
| A Rapid Pattern-Recognition Method for Driving Styles Using Clustering-Based Support Vector Machines W Wang, J Xi IEEE 2016 American Control Conference, pp. 5270-5275, 2016 | 60 | 2016 |
| Estimating driver’s lane-change intent considering driving style and contextual traffic X Li, W Wang, M Roetting IEEE Transactions on Intelligent Transportation Systems 20 (9), 3258-3271, 2019 | 58 | 2019 |
| Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics W Wang, J Xi, L Chang, X Li IEEE Transactions on Intelligent Transportation Systems 18 (6), 1440-1453, 2017 | 56 | 2017 |
| Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles S Yang, W Wang, C Liu, W Deng IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1), 53-63, 2019 | 52 | 2019 |
| Statistical-based approach for driving style recognition using Bayesian probability with kernel density estimation W Han, W Wang, X Li, J Xi IET Intelligent Transportation Systems 13 (1), 22-30, 2019 | 52* | 2019 |
| Extracting traffic primitives directly from naturalistically logged data for self-driving applications W Wang, D Zhao IEEE Robotics and Automation Letters 3 (2), 1223-1229, 2018 | 49 | 2018 |
| Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach S Yang, W Wang, C Liu, W Deng, JK Hedrick IEEE 2017 Intelligent Vehicles Symposium (IV), 1033-1038, 2017 | 47 | 2017 |
| Decision-making in driver-automation shared control: A review and perspectives W Wang, X Na, D Cao, J Gong, J Xi, Y Xing, FY Wang IEEE/CAA Journal of Automatica Sinica 7 (5), 1289-1307, 2020 | 37 | 2020 |
| Driving Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs S Yang, W Wang, F Zhang, Y Hu, J Xi IEEE Transactions on Vehicular Technology 67 (10), 9249--9261, 2018 | 35 | 2018 |
| Evaluation of lane departure correction systems using a regenerative stochastic driver model W Wang, D Zhao IEEE Transactions on Intelligent Vehicles 2 (3), 221-232, 2017 | 32 | 2017 |
| Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors W Wang, D Zhao, J Xi, DJ LeBlanc, JK Hedrick IEEE American Control Conference, May 24–26, 2017, Seattle, USA, 1133-1138, 2017 | 24 | 2017 |
| Clustering Driving Encounter Scenarios Using Connected Vehicle Trajectories W Wang, A Ramesh, J Zhu, J Li, D Zhao IEEE Transactions on Intelligent Vehicles, 2020 | 22 | 2020 |
| Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios C Zhang, J Zhu, W Wang, J Xi IEEE Transactions on Intelligent Transportation Systems, 2021 | 21 | 2021 |
Chang LiuPeking UniversityVerified email at pku.edu.cn
