A Dynamic Network Simulation Model Based on Multi-Agent Systems. - Rosaldo J. F. Rossetti; Ronghui Liu (Applications of Agent Technology in Traffic and Transportation, 2005)

An Agent-Based Approach to Assess Drivers' Interaction with Pre-Trip Information Systems. - Rosaldo J. F. Rossetti; Ronghui Liu (J. Intell. Transp. Syst., 2005)

Guest Editorial Special Issue on Artificial Transportation Systems and Simulation. - Rosaldo J. F. Rossetti; Ronghui Liu; Shuming Tang (IEEE Trans. Intell. Transp. Syst., 2011)

Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation. - Gunnar Flötteröd; Ronghui Liu (J. Intell. Transp. Syst., 2014)

Congestion Behavior and Tolls in a Bottleneck Model with Stochastic Capacity. - Lingling Xiao; Hai-Jun Huang; Ronghui Liu (Transp. Sci., 2015)

A New Rapid Incremental Algorithm for Constructing Concept Lattices. - Jingpu Zhang; Ronghui Liu; Ligeng Zou; Licheng Zeng (Inf., 2019)

Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control. - Luou Shen; Ronghui Liu; Zhihong Yao; Weitiao Wu; Hongtai Yang (IEEE Trans. Intell. Transp. Syst., 2019)

A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment. - Zhihong Yao; Luou Shen; Ronghui Liu; Yangsheng Jiang; Xiaoguang Yang (IEEE Trans. Intell. Transp. Syst., 2020)

A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems. - Chenyi Fu; Ning Zhu; Shoufeng Ma; Ronghui Liu (Eur. J. Oper. Res., 2022)

Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach. - Jiateng Yin; Xianliang Ren; Ronghui Liu; Tao Tang 004; Shuai Su (Reliab. Eng. Syst. Saf., 2022)

Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications. - Nikola Besinovic; Lorenzo De Donato; Francesco Flammini; Rob M. P. Goverde; Zhiyuan Lin 002; Ronghui Liu; Stefano Marrone 002; Roberto Nardone; Tianli Tang; Valeria Vittorini (IEEE Trans. Intell. Transp. Syst., 2022)

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms. - Weitiao Wu; Yue Lin 008; Ronghui Liu; Yaohui Li; Yi Zhang; Changxi Ma (IEEE Trans. Intell. Transp. Syst., 2022)

Short-Term Lateral Behavior Reasoning for Target Vehicles Considering Driver Preview Characteristic. - Zhisong Zhou; Yafei Wang 001; Ronghui Liu; Chongfeng Wei; Haiping Du; Chengliang Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set. - Yafei Liu; Ronghui Liu; Chongfeng Wei; Jing Xun; Tao Tang 004 (IEEE Trans. Veh. Technol., 2022)

Dynamic Modeling and Simulation of Train Resistances in Virtual Coupled Platoons for Railway Systems. - Zhaosen Chen; Jiateng Yin; Wei Wu; Fan Pu; Tao Tang; Ronghui Liu (ITSC, 2023)

Schedule Extra Train(s) into Existing Timetable Using Actor-Critic Reinforcement Learning. - Jin Liu; Ronghui Liu (ITSC, 2023)

A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic. - Fan Liu; Jing Xun; Ronghui Liu; Jiateng Yin; Hairong Dong 001 (IEEE Intell. Transp. Syst. Mag., 2023)

Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach. - Tianli Tang; Ronghui Liu; Charisma F. Choudhury; Achille Fonzone; Yuanyuan Wang (IEEE Trans. Intell. Transp. Syst., 2023)

A Customized Data Fusion Tensor Approach for Interval-Wise Missing Network Volume Imputation. - Jiping Xing; Ronghui Liu; Anish Khadka; Zhiyuan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2023)

A reinforcement learning approach to solving very-short term train rescheduling problem for a single-track rail corridor. - Jin Liu; Zhiyuan Lin; Ronghui Liu (J. Rail Transp. Plan. Manag., 2024)

Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models. - Qiuying Chen; Ronghui Liu; Qingquan Jiang; Shangyue Xu (Data Technol. Appl., 2024)

MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction. - Hao Huang 004; Jiannan Mao; Ronghui Liu; Weike Lu; Tianli Tang; Lan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips. - Tianli Tang; Jiannan Mao; Ronghui Liu; Zhiyuan Liu 002; Yiran Wang; Di Huang (IEEE Trans. Intell. Transp. Syst., 2024)

A 3.5 ppm/°C Novel Curvature-Compensated Bandgap Reference Using Four-Input Current Feedback Amplifier with 3σ Inaccuracy of ±0.05%. - Kai Jing; Yangpeng Jia; Ronghui Liu; Fengjuan Wang; Yuan Yang 006 (ISCAS, 2025)

Distributed train timetable synchronization in metro network: An ADMM-based decomposition framework. - Renming Liu; Shukai Li; Lixing Yang; Ronghui Liu (Comput. Oper. Res., 2025)

Multi-objective optimization for the sightseeing bus problem: Trade-off between tourists and operator. - Zhou Jia; Di Huang; Zhiyuan Liu 002; Zhitao Hu; Ronghui Liu; Wenwu Yu (Expert Syst. Appl., 2025)

Predicting primary delay of train services using graph-embedding based machine learning. - Ruifan Tang; Ronghui Liu; Zhiyuan Lin (J. Rail Transp. Plan. Manag., 2025)

Weekly train timetabling integrating stop planning for high-speed rail lines. - Bowen Nie; Lei Nie; Huiling Fu; Zhiyuan Lin; Ronghui Liu (Expert Syst. Appl., 2026)