Ziyuan Gu
Orcid: 0000-0002-2059-4809
According to our database1,
Ziyuan Gu
authored at least 15 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Simulation-Based Robust and Adaptive Optimization Method for Heteroscedastic Transportation Problems.
Transp. Sci., 2024
An Adaptive Route Guidance Model Considering the Effect of Traffic Signals Based on Deep Reinforcement Learning.
IEEE Intell. Transp. Syst. Mag., 2024
Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems.
CoRR, 2024
2023
TERL: Two-Stage Ensemble Reinforcement Learning Paradigm for Large-Scale Decentralized Decision Making in Transportation Simulation.
IEEE Trans. Knowl. Data Eng., December, 2023
2021
An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia.
Data, 2021
2020
Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods.
CoRR, 2020
Joint routing and pricing control of autonomous vehicles in mixed equilibrium simulation-based dynamic traffic assignment.
CoRR, 2020
2019
CoRR, 2019
Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram.
CoRR, 2019
Effects of Turning and Merging on Network Traffic Instability: A Simulation-Based Analysis of Human-Driven and Autonomous Vehicles.
CoRR, 2019
Surrogate-based toll optimization in a large-scale heterogeneously congested network.
Comput. Aided Civ. Infrastructure Eng., 2019
A Simulation-Based Optimization Framework for Urban Congestion Pricing Considering Travelers' Departure Time Rescheduling.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network.
Simul. Model. Pract. Theory, 2018
2016
Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016