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ORCIDRonghui Liu
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2020 – today
- 2024
[j19]Jin Liu, Zhiyuan Lin, Ronghui Liu:
A reinforcement learning approach to solving very-short term train rescheduling problem for a single-track rail corridor. J. Rail Transp. Plan. Manag. 32: 100483 (2024)- [j18]Qiuying Chen
, Ronghui Liu, Qingquan Jiang, Shangyue Xu:
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models. Data Technol. Appl. 58(4): 669-690 (2024) - [j17]Hao Huang, Jiannan Mao, Ronghui Liu, Weike Lu, Tianli Tang, Lan Liu:
MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 11805-11820 (2024) - 2023
- [j16]Fan Liu, Jing Xun, Ronghui Liu, Jiateng Yin, Hairong Dong:
A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic. IEEE Intell. Transp. Syst. Mag. 15(1): 318-332 (2023) - [j15]Tianli Tang, Ronghui Liu, Charisma F. Choudhury, Achille Fonzone, Yuanyuan Wang:
Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(5): 5105-5119 (2023) - [j14]Jiping Xing, Ronghui Liu, Anish Khadka, Zhiyuan Liu:
A Customized Data Fusion Tensor Approach for Interval-Wise Missing Network Volume Imputation. IEEE Trans. Intell. Transp. Syst. 24(11): 12107-12122 (2023) - [c2]Jin Liu, Ronghui Liu:
Schedule Extra Train(s) into Existing Timetable Using Actor-Critic Reinforcement Learning. ITSC 2023: 1166-1171 - [c1]Zhaosen Chen, Jiateng Yin, Wei Wu, Fan Pu, Tao Tang, Ronghui Liu:
Dynamic Modeling and Simulation of Train Resistances in Virtual Coupled Platoons for Railway Systems. ITSC 2023: 2939-2944 - 2022
- [j13]Chenyi Fu, Ning Zhu, Shoufeng Ma, Ronghui Liu:
A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems. Eur. J. Oper. Res. 298(3): 915-938 (2022) - [j12]Jiateng Yin, Xianliang Ren, Ronghui Liu, Tao Tang, Shuai Su:
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach. Reliab. Eng. Syst. Saf. 219: 108183 (2022) - [j11]Weitiao Wu, Yue Lin, Ronghui Liu, Yaohui Li, Yi Zhang, Changxi Ma:
Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms. IEEE Trans. Intell. Transp. Syst. 23(1): 572-586 (2022) - [j10]Zhisong Zhou, Yafei Wang, Ronghui Liu, Chongfeng Wei, Haiping Du, Chengliang Yin:
Short-Term Lateral Behavior Reasoning for Target Vehicles Considering Driver Preview Characteristic. IEEE Trans. Intell. Transp. Syst. 23(8): 11801-11810 (2022) - [j9]Nikola Besinovic, Lorenzo De Donato, Francesco Flammini, Rob M. P. Goverde, Zhiyuan Lin, Ronghui Liu, Stefano Marrone, Roberto Nardone, Tianli Tang, Valeria Vittorini:
Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications. IEEE Trans. Intell. Transp. Syst. 23(9): 14011-14024 (2022) - [j8]Yafei Liu, Ronghui Liu, Chongfeng Wei, Jing Xun, Tao Tang:
Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set. IEEE Trans. Veh. Technol. 71(1): 171-183 (2022) - 2020
- [j7]Zhihong Yao, Luou Shen, Ronghui Liu, Yangsheng Jiang, Xiaoguang Yang:
A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment. IEEE Trans. Intell. Transp. Syst. 21(4): 1455-1466 (2020)
2010 – 2019
- 2019
- [j6]Jingpu Zhang, Ronghui Liu, Ligeng Zou, Licheng Zeng:
A New Rapid Incremental Algorithm for Constructing Concept Lattices. Inf. 10(2): 78 (2019) - [j5]Luou Shen, Ronghui Liu, Zhihong Yao, Weitiao Wu, Hongtai Yang:
Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 20(2): 431-440 (2019) - 2015
- [j4]Lingling Xiao, Hai-Jun Huang, Ronghui Liu:
Congestion Behavior and Tolls in a Bottleneck Model with Stochastic Capacity. Transp. Sci. 49(1): 46-65 (2015) - 2014
- [j3]Gunnar Flötteröd, Ronghui Liu:
Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation. J. Intell. Transp. Syst. 18(2): 204-214 (2014) - 2011
- [j2]Rosaldo J. F. Rossetti, Ronghui Liu, Shuming Tang:
Guest Editorial Special Issue on Artificial Transportation Systems and Simulation. IEEE Trans. Intell. Transp. Syst. 12(2): 309-312 (2011)
2000 – 2009
- 2005
- [j1]Rosaldo J. F. Rossetti, Ronghui Liu:
An Agent-Based Approach to Assess Drivers' Interaction with Pre-Trip Information Systems. J. Intell. Transp. Syst. 9(1): 1-10 (2005) - [p1]Rosaldo J. F. Rossetti, Ronghui Liu:
A Dynamic Network Simulation Model Based on Multi-Agent Systems. Applications of Agent Technology in Traffic and Transportation 2005: 181-192
Coauthor Index
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