Ronghui Liu
Orcid: 0000-0003-0627-3184
According to our database1,
Ronghui Liu
authored at least 28 papers
between 2005 and 2026.
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Bibliography
2026
Expert Syst. Appl., 2026
2025
Predicting primary delay of train services using graph-embedding based machine learning.
J. Rail Transp. Plan. Manag., 2025
Multi-objective optimization for the sightseeing bus problem: Trade-off between tourists and operator.
Expert Syst. Appl., 2025
Distributed train timetable synchronization in metro network: An ADMM-based decomposition framework.
Comput. Oper. Res., 2025
A 3.5 ppm/°C Novel Curvature-Compensated Bandgap Reference Using Four-Input Current Feedback Amplifier with 3σ Inaccuracy of ±0.05%.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
2024
Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips.
IEEE Trans. Intell. Transp. Syst., December, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models.
Data Technol. Appl., 2024
A reinforcement learning approach to solving very-short term train rescheduling problem for a single-track rail corridor.
J. Rail Transp. Plan. Manag., 2024
2023
A Customized Data Fusion Tensor Approach for Interval-Wise Missing Network Volume Imputation.
IEEE Trans. Intell. Transp. Syst., November, 2023
Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach.
IEEE Trans. Intell. Transp. Syst., May, 2023
A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic.
IEEE Intell. Transp. Syst. Mag., 2023
Schedule Extra Train(s) into Existing Timetable Using Actor-Critic Reinforcement Learning.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Dynamic Modeling and Simulation of Train Resistances in Virtual Coupled Platoons for Railway Systems.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set.
IEEE Trans. Veh. Technol., 2022
Short-Term Lateral Behavior Reasoning for Target Vehicles Considering Driver Preview Characteristic.
IEEE Trans. Intell. Transp. Syst., 2022
Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms.
IEEE Trans. Intell. Transp. Syst., 2022
Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications.
IEEE Trans. Intell. Transp. Syst., 2022
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach.
Reliab. Eng. Syst. Saf., 2022
A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems.
Eur. J. Oper. Res., 2022
2020
A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment.
IEEE Trans. Intell. Transp. Syst., 2020
2019
Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., 2019
2015
Transp. Sci., 2015
2014
Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation.
J. Intell. Transp. Syst., 2014
2011
IEEE Trans. Intell. Transp. Syst., 2011
2005
An Agent-Based Approach to Assess Drivers' Interaction with Pre-Trip Information Systems.
J. Intell. Transp. Syst., 2005
Proceedings of the Applications of Agent Technology in Traffic and Transportation, 2005