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Xinyue Xu
标题
引用次数
引用次数
年份
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
1842014
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
1422019
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
1412016
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
1302021
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
1192019
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
892019
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
852018
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
772019
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
762019
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
682020
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
532020
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
512017
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
472018
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
402019
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
322015
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
302019
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
262020
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
242019
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
222019
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
202020
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