Analysis of subway station capacity with the use of queueing theory X Xu, J Liu, H Li, JQ Hu Transportation research part C: emerging technologies 38, 28-43, 2014 | 193 | 2014 |
An improved Bayesian combination model for short-term traffic prediction with deep learning Y Gu, W Lu, X Xu, L Qin, Z Shao, H Zhang IEEE Transactions on Intelligent Transportation Systems 21 (3), 1332-1342, 2019 | 156 | 2019 |
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization R Shi, X Xu, J Li, Y Li Applied Soft Computing 109, 107538, 2021 | 151 | 2021 |
Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study X Xu, J Liu, H Li, M Jiang Transportation Research Part E: Logistics and Transportation Review 87, 130-148, 2016 | 149 | 2016 |
Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network H Li, Y Wang, X Xu, L Qin, H Zhang Applied Soft Computing 83, 105620, 2019 | 127 | 2019 |
Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study X Xu, H Li, J Liu, B Ran, L Qin Transportmetrica B: Transport Dynamics 7 (1), 446-472, 2019 | 96 | 2019 |
Learning the route choice behavior of subway passengers from AFC data X Xu, L Xie, H Li, L Qin Expert systems with applications 95, 324-332, 2018 | 91 | 2018 |
Energy consumption optimization of train operation for railway systems: Algorithm development and real-world case study H Zhang, L Jia, L Wang, X Xu Journal of Cleaner Production 214, 1024-1037, 2019 | 82 | 2019 |
Train dispatching management with data-driven approaches: A comprehensive review and appraisal C Wen, P Huang, Z Li, J Lessan, L Fu, C Jiang, X Xu IEEE Access 7, 114547-114571, 2019 | 81 | 2019 |
Modeling train operation as sequences: A study of delay prediction with operation and weather data P Huang, C Wen, L Fu, J Lessan, C Jiang, Q Peng, X Xu Transportation research part E: logistics and transportation review 141, 102022, 2020 | 79 | 2020 |
A Bayesian network model to predict the effects of interruptions on train operations P Huang, J Lessan, C Wen, Q Peng, L Fu, L Li, X Xu Transportation Research Part C: Emerging Technologies 114, 338-358, 2020 | 54 | 2020 |
Modeling departure time choice of metro passengers with a smart corrected mixed logit model-a case study in Beijing H Li, X Li, X Xu, J Liu, B Ran Transport Policy 69, 106-121, 2018 | 52 | 2018 |
Metro passenger flow control with station-to-station cooperation based on stop-skipping and boarding limiting M Jiang, H Li, X Xu, S Xu, J Miao Journal of Central South University 24, 236-244, 2017 | 51 | 2017 |
Genetic Algorithm‐Based Particle Swarm Optimization Approach to Reschedule High‐Speed Railway Timetables: A Case Study in China M Wang, L Wang, X Xu, Y Qin, L Qin Journal of Advanced Transportation 2019 (1), 6090742, 2019 | 43 | 2019 |
Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems C Yu, H Li, X Xu, J Liu Transportation Research Part E: Logistics and Transportation Review 142, 102037, 2020 | 33 | 2020 |
Improving service quality with the fuzzy TOPSIS method: a case study of the Beijing rail transit system J Li, X Xu, Z Yao, Y Lu Ieee Access 7, 114271-114284, 2019 | 33 | 2019 |
Improved social force model based on exit selection for microscopic pedestrian simulation in subway station X Zheng, H Li, L Meng, X Xu, X Chen Journal of Central South University 22 (11), 4490-4497, 2015 | 32 | 2015 |
Deep learning‐based hybrid model for short‐term subway passenger flow prediction using automatic fare collection data F Jia, H Li, X Jiang, X Xu IET Intelligent Transport Systems 13 (11), 1708-1716, 2019 | 24 | 2019 |
Improving service quality of metro systems—A case study in the Beijing metro X Xu, Y Lu, Y Wang, J Li, H Zhang Ieee Access 8, 12573-12591, 2020 | 23 | 2020 |
Comprehensive optimization of a metro timetable considering passenger waiting time and energy efficiency W Li, Q Peng, C Wen, X Xu Ieee Access 7, 160144-160167, 2019 | 22 | 2019 |