| A hybrid deep learning based traffic flow prediction method and its understanding Y Wu, H Tan, L Qin, B Ran, Z Jiang Transportation Research Part C: Emerging Technologies 90, 166-180, 2018 | 841 | 2018 |
| Modeling dynamic transportation networks: an intelligent transportation system oriented approach B Ran, D Boyce Springer Science & Business Media, 1996 | 709* | 1996 |
| Method of providing travel time B Ran US Patent 6,317,686, 2001 | 615 | 2001 |
| A new class of instantaneous dynamic user-optimal traffic assignment models B Ran, DE Boyce, LJ LeBlanc Operations Research 41 (1), 192-202, 1993 | 343 | 1993 |
| Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches J Yin, L Yang, T Tang, Z Gao, B Ran Transportation Research Part B: Methodological 97, 182-213, 2017 | 326 | 2017 |
| Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach J Yin, T Tang, L Yang, Z Gao, B Ran Transportation Research Part B: Methodological 91, 178-210, 2016 | 310 | 2016 |
| A dynamic lane-changing trajectory planning model for automated vehicles D Yang, S Zheng, C Wen, PJ Jin, B Ran Transportation Research Part C: Emerging Technologies 95, 228-247, 2018 | 280 | 2018 |
| Use of local linear regression model for short-term traffic forecasting H Sun, HX Liu, H Xiao, RR He, B Ran Transportation Research Record 1836 (1), 143-150, 2003 | 262 | 2003 |
| Short-term traffic prediction based on dynamic tensor completion H Tan, Y Wu, B Shen, PJ Jin, B Ran IEEE Transactions on Intelligent Transportation Systems 17 (8), 2123-2133, 2016 | 244 | 2016 |
| Exploring the factors affecting mode choice Intention of autonomous vehicle based on an extended theory of planned behavior—A case study in China P Jing, H Huang, B Ran, F Zhan, Y Shi Sustainability 11 (4), 1155, 2019 | 237 | 2019 |
| Central processing and combined central and local processing of personalized real-time traveler information over internet/intranet B Ran, J Li US Patent 6,209,026, 2001 | 231 | 2001 |
| Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm L Li, L Qin, X Qu, J Zhang, Y Wang, B Ran Knowledge-Based Systems 172, 1-14, 2019 | 211 | 2019 |
| Missing value imputation for traffic-related time series data based on a multi-view learning method L Li, J Zhang, Y Wang, B Ran IEEE Transactions on Intelligent Transportation Systems 20 (8), 2933-2943, 2018 | 204 | 2018 |
| Short term traffic forecasting using the local linear regression model H Sun, HX Liu, H Xiao, B Ran | 202 | 2002 |
| Dynamic urban transportation network models: theory and implications for intelligent vehicle-highway systems B Ran, D Boyce Springer Science & Business Media, 2012 | 193 | 2012 |
| A link-based variational inequality model for dynamic departure time/route choice B Ran, RW Hall, DE Boyce Transportation Research Part B: Methodological 30 (1), 31-46, 1996 | 180 | 1996 |
| Developing a dynamic traffic management modeling framework for hurricane evacuation B Barrett, B Ran, R Pillai Transportation Research Record 1733 (1), 115-121, 2000 | 178 | 2000 |
| Autonomous vehicle-intersection coordination method in a connected vehicle environment P Lin, J Liu, PJ Jin, B Ran IEEE Intelligent Transportation Systems Magazine 9 (4), 37-47, 2017 | 173 | 2017 |
| Tensor based missing traffic data completion with spatial–temporal correlation B Ran, H Tan, Y Wu, PJ Jin Physica A: Statistical Mechanics and its Applications 446, 54-63, 2016 | 170 | 2016 |
| Dynamic driving risk potential field model under the connected and automated vehicles environment and its application in car-following modeling L Li, J Gan, X Ji, X Qu, B Ran IEEE transactions on intelligent transportation systems 23 (1), 122-141, 2020 | 157 | 2020 |
Yang ChengUniversity of Wisconsin-Madisonwisc.edu의 이메일 확인됨