Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach. - Ziyuan Gu; Meead Saberi; Majid Sarvi; Zhiyuan Liu 002 (ITSC, 2016)

Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network. - Sajjad Shafiei; Ziyuan Gu; Meead Saberi (Simul. Model. Pract. Theory, 2018)

A Simulation-Based Optimization Framework for Urban Congestion Pricing Considering Travelers' Departure Time Rescheduling. - Ziyuan Gu; Meead Saberi (ITSC, 2019)

Surrogate-based toll optimization in a large-scale heterogeneously congested network. - Ziyuan Gu; S. Travis Waller; Meead Saberi (Comput. Aided Civ. Infrastructure Eng., 2019)

Effects of Turning and Merging on Network Traffic Instability: A Simulation-Based Analysis of Human-Driven and Autonomous Vehicles. - Ziyuan Gu; Meead Saberi (CoRR, 2019)

Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram. - Ziyuan Gu; Sajjad Shafiei; Zhiyuan Liu 002; Meead Saberi (CoRR, 2019)

A simple contagion process describes spreading of traffic jams in urban networks. - Meead Saberi; Mudabber Ashfaq; Homayoun Hamedmoghadam; Seyed Amir Hosseini; Ziyuan Gu; Sajjad Shafiei; Divya Jayakumar Nair; Vinayak V. Dixit; Lauren Gardner; S. Travis Waller; Marta C. González (CoRR, 2019)

Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment. - Ziyuan Gu (2019)

Joint routing and pricing control of autonomous vehicles in mixed equilibrium simulation-based dynamic traffic assignment. - Mohammadhadi Mansourianfar; Ziyuan Gu; S. Travis Waller; Meead Saberi (CoRR, 2020)

Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods. - Ziyuan Gu; Meead Saberi (CoRR, 2020)

A macro-micro approach to modeling parking. - Ziyuan Gu; Farshid Safarighouzhdib; Meead Saberi; Taha Hossein Rashidi (CoRR, 2021)

An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia. - Fatemeh Nourmohammadi; Mohammadhadi Mansourianfar; Sajjad Shafiei; Ziyuan Gu; Meead Saberi (Data, 2021)

TERL: Two-Stage Ensemble Reinforcement Learning Paradigm for Large-Scale Decentralized Decision Making in Transportation Simulation. - Ziyuan Gu; Xun Yang 003; Qi Zhang; Wenwu Yu; Zhiyuan Liu 002 (IEEE Trans. Knowl. Data Eng., 2023)

Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems. - Qionghua Liao; Guilong Li; Jiajie Yu; Ziyuan Gu; Wei Ma (CoRR, 2024)

An Adaptive Route Guidance Model Considering the Effect of Traffic Signals Based on Deep Reinforcement Learning. - Yunyang Shi; Ziyuan Gu; Xun Yang 003; Yingdi Li; Zixuan Chu (IEEE Intell. Transp. Syst. Mag., 2024)

Simulation-Based Robust and Adaptive Optimization Method for Heteroscedastic Transportation Problems. - Ziyuan Gu; Yifan Li; Meead Saberi; Zhiyuan Liu 002 (Transp. Sci., 2024)

HPTSim: A Highway Parallel Traffic Simulation Framework for Mixed Concurrency Scenarios. - Yunyang Shi; Ziyuan Gu; Anfeng Jiang; Dinghao Zhou; Zhiyuan Liu 002 (IEEE Intell. Transp. Syst. Mag., 2025)

Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory. - Ziyuan Gu; Qi Hong; Zhen Zhou; Xin Geng 001; Zhiyuan Liu 002; Mo Jia (IEEE Trans. Knowl. Data Eng., 2025)