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Programs & Papers

Credit: John Davies.

Programs

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Credit: Victorian Department of Transport, Tim Bryant
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Total Papers: 9
2025 - Evacuation optimisation with Shared Autonomous Vehicles
Authors
Yunlong Wang, Minh Kieu, Doug Wilson and Prakash Ranjitkar
Keywords
Deep reinforcement learning, disaster response, evacuation strategies, Shared autonomous vehicles
File
ATRF2025_75.pdf
2024 - Congestion pricing in multimodal networks: An application of deep reinforcement learning
Authors
Nasser Parishad and Mehmet Yildirimoglu
Keywords
congestion pricing, Macroscopic Fundamental Diagram, Reinforcement learning
File
ATRF2024_Abridged_92-1.pdf
Major Subject:
Traffic modelling
2024 - A continuous operation strategy for shared autonomous vehicles based on dynamic wireless charging
Authors
Yunlong Wang, Minh Kieu, Zhihao Zhang and Prakash Ranjitkar
Keywords
Deep reinforcement learning, dynamic wireless charging, Public transport, Shared autonomous vehicles
File
ATRF2024_Resubmission_63.pdf
Major Subject:
Intelligent transport
2024 - Optimizing the initialization of fleet deployment for mobility-on-demand systems: A deep reinforcement learning approach
Authors
Zhengfei Zheng, Peibo Duan, Zheng Liang and Hai Yang
Keywords
Deep reinforcement learning, Gradient ascent algorithm, Mobility-on-demand system, Vehicle initial deployment
File
ATRF2024_Abridged_16.pdf
Major Subject:
Intelligent transport
2022 - Threshold-free Anomaly Detection on Traffic Flow Data with Reinforcement Learning
Authors
Dan He, Boyu Ruan, Jiwon Kim and Hua Shi
Keywords
Anomaly Detection, Reinforcement learning, Traffic Flow Pattern
File
ATRF2022_Resubmission_39.pdf
Major Subject:
Traffic modelling
2021 - A Comparison Study of Different Data Resolutions for Deep Reinforcement Learning Based Adaptive Traffic Signal Control System
Authors
Mobin Yazdani , Majid Sarvi and Saeed Asadi Bagloee
Keywords
Adaptive traffic signal control, Deep reinforcement learning, High-resolution data
File
ATRF2021_Resubmission_59-Mobin-Yazdani-et-al.pdf
2021 - Network-wide traffic simulation with multi-agent imitation learning
Authors
Jie Sun and Jiwon Kim
Keywords
Imitation learning, machine learning, Multi-agent imitation learning, Reinforcement learning, Traffic modelling, traffic simulation
File
ATRF2021_Resubmission_61-1.pdf
2021 - Car Following Modelling with Constrained Generative Adversarial Imitation Learning
Authors
Lin Lin, Jiwon Kim and Sanghyung Ahn
Keywords
Car following model, Generative Adversarial Imitation Learning, Reinforcement learning, Reward augmentation, traffic simulation
File
ATRF2021_Resubmission_69-1.pdf
2017 - Reinforcement Learning based Driving Speed Control for Two Vehicle Scenario
Authors
Hasitha Dilshani Gamage and Brian Lee
Keywords
ITS, pollution, simulation, Traffic management
File
ATRF2017_076.pdf
Major Subject:
Traffic modelling, forecasting and simulation