尹浩东(Haodong Yin)
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Travel time prediction: Based on gated recurrent unit method and data fusion
J Zhao, Y Gao, Y Qu, H Yin, Y Liu, H Sun
IEEE Access 6, 70463-70472, 2018
A novel prediction model for the inbound passenger flow of urban rail transit
X Yang, Q Xue, X Yang, H Yin, Y Qu, X Li, J Wu
Information Sciences 566, 347-363, 2021
Optimizing the release of passenger flow guidance information in urban rail transit network via agent-based simulation
H Yin, J Wu, Z Liu, X Yang, Y Qu, H Sun
Applied Mathematical Modelling 72, 337-355, 2019
Robust bus bridging service design under rail transit system disruptions
J Liang, J Wu, Y Qu, H Yin, X Qu, Z Gao
Transportation Research Part E: Logistics and Transportation Review 132, 97-116, 2019
Optimizing last trains timetable in the urban rail network: social welfare and synchronization
H Yin, J Wu, H Sun, L Kang, R Liu
Transportmetrica B: Transport Dynamics 7 (1), 473-497, 2019
Recognizing the critical stations in urban rail networks: an analysis method based on the smart-card data
X Yang, H Yin, J Wu, Y Qu, Z Gao, T Tang
IEEE Intelligent Transportation Systems Magazine 11 (1), 29-35, 2018
Performance improvement of energy consumption, passenger time and robustness in metro systems: A multi-objective timetable optimization approach
X Yang, J Wu, H Sun, Z Gao, H Yin, Y Qu
Computers & Industrial Engineering 137, 106076, 2019
Data-driven model for passenger route choice in urban metro network
J Wu, Y Qu, H Sun, H Yin, X Yan, J Zhao
Physica A: Statistical Mechanics and its Applications 524, 787-798, 2019
Evaluating disruption in rail transit network: a case study of Beijing subway
H Yin, B Han, D Li
Procedia Engineering 137, 49-58, 2016
Optimal bus-bridging service under a metro station disruption
H Yin, J Wu, H Sun, Y Qu, X Yang, B Wang
Journal of Advanced Transportation 2018, 2018
Robust optimization of train timetable and energy efficiency in urban rail transit: A two-stage approach
Y Qu, H Wang, J Wu, X Yang, H Yin, L Zhou
Computers & Industrial Engineering 146, 106594, 2020
Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations
Y Qu, Y Xiao, H Liu, H Yin, J Wu, Q Qu, D Li, T Tang
Physica A: Statistical Mechanics and its Applications 526, 121075, 2019
Modeling and simulating passenger behavior for a station closure in a rail transit network
H Yin, B Han, D Li, J Wu, H Sun
PLoS one 11 (12), e0167126, 2016
Model and algorithm of coordinated flow controlling with station-based constraints in a metro system
P Zhang, H Sun, Y Qu, H Yin, JG Jin, J Wu
Transportation Research Part E: Logistics and Transportation Review 148, 102274, 2021
A robust train timetable optimization approach for reducing the number of waiting passengers in metro systems
L Zhou, X Yang, H Wang, J Wu, L Chen, H Yin, Y Qu
Physica A: Statistical Mechanics and its Applications 558, 124927, 2020
Designing a safe and fair network for hazmat road transportation
H Yin, H Sun, S Peng, J Wu, Y Ge, Y Chen
Journal of Transportation Safety & Security 12 (4), 482-500, 2020
Multistation coordinated and dynamic passenger inflow control for a metro line
X Wang, J Wu, X Yang, X Guo, H Yin, H Sun
IET Intelligent Transport Systems 14 (9), 1068-1078, 2020
Urban rail timetable optimization to improve operational efficiency with flexible routing plans: A nonlinear integer programming model
Q Xue, X Yang, J Wu, H Sun, H Yin, Y Qu
Sustainability 11 (13), 3701, 2019
Dynamic schedule-based assignment model for urban rail transit network with capacity constraints
B Han, W Zhou, D Li, H Yin
The Scientific World Journal 2015, 2015
An energy based method to measure the crowd safety
H Yin, D Li, X Zheng
Transportation Research Procedia 2, 691-696, 2014
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Articles 1–20