Buchumschlag

UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Maonan, Xiong, Xi, Kan, Yuheng, Xu, Chengcheng, Pun, Man-On
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Systems and Control Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
von: Wang, Maonan, et al.
Veröffentlicht: (2022)

Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies
von: Wang, Maonan, et al.
Veröffentlicht: (2024)

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
von: Wang, Maonan, et al.
Veröffentlicht: (2025)

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
von: Wang, Maonan, et al.
Veröffentlicht: (2024)

A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy
von: Liu, Lu, et al.
Veröffentlicht: (2024)

TranSimHub:A Unified Air-Ground Simulation Platform for Multi-Modal Perception and Decision-Making
von: Wang, Maonan, et al.
Veröffentlicht: (2025)

Phase Re-service in Reinforcement Learning Traffic Signal Control
von: Zhang, Zhiyao, et al.
Veröffentlicht: (2024)

Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation
von: Muresan, Matthew, et al.
Veröffentlicht: (2019)

Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
von: Kwesiga, Dickness Kakitahi, et al.
Veröffentlicht: (2024)

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
von: Müller, Arthur, et al.
Veröffentlicht: (2021)

Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning
von: Li, Qiang, et al.
Veröffentlicht: (2025)

ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control
von: Pang, Aoyu, et al.
Veröffentlicht: (2026)

Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
von: Francis, Lawrence, et al.
Veröffentlicht: (2024)

Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths
von: Nandakumar, Anirud, et al.
Veröffentlicht: (2025)

Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
von: Tütsch, Vinzenz, et al.
Veröffentlicht: (2024)

Distributionally Robust Multi-Agent Reinforcement Learning for Intelligent Traffic Control
von: Pei, Shuwei, et al.
Veröffentlicht: (2025)

Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning
von: Li, Xiaocan, et al.
Veröffentlicht: (2024)

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
von: Duan, Wenchang, et al.
Veröffentlicht: (2024)

Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach
von: Zhang, Xiaocai, et al.
Veröffentlicht: (2026)

Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks
von: Yuan, Tianchen, et al.
Veröffentlicht: (2024)

Efficient Replay Memory Architectures in Multi-Agent Reinforcement Learning for Traffic Congestion Control
von: Chodhary, Mukul, et al.
Veröffentlicht: (2024)

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
von: Lu, Ke, et al.
Veröffentlicht: (2024)

Distributed Traffic State Estimation in V2X-Enabled Connected Vehicle Networks
von: de Heij, Vincent, et al.
Veröffentlicht: (2025)

Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model
von: Ru, Xinfeng, et al.
Veröffentlicht: (2024)

A Micro-Simulation Study of the Generalized Proportional Allocation Traffic Signal Control
von: Nilsson, Gustav, et al.
Veröffentlicht: (2019)

The Effects of Vehicle-to-Infrastructure Communication Reliability on Performance of Signalized Intersection Traffic Control
von: Finkelberg, Ilya, et al.
Veröffentlicht: (2021)

Robust Mean Field Social Control: A Unified Reinforcement Learning Framework
von: Xu, Zhenhui, et al.
Veröffentlicht: (2025)

V2Sim: An Open-Source Microscopic V2G Simulation Platform in Urban Power and Transportation Network
von: Qian, Tao, et al.
Veröffentlicht: (2024)

CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
von: Zeng, Jinwei, et al.
Veröffentlicht: (2024)

Virtual Traffic Police: Large Language Model-Augmented Traffic Signal Control for Unforeseen Incidents
von: Wei, Shiqi, et al.
Veröffentlicht: (2026)

Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
von: Wang, Xiaoyu, et al.
Veröffentlicht: (2024)

Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations
von: Yuan, Tianchen, et al.
Veröffentlicht: (2023)

LightSim: A Lightweight Cell Transmission Model Simulator for Traffic Signal Control Research
von: Su, Haoran, et al.
Veröffentlicht: (2026)

Distributed MPC-based Coordination of Traffic Perimeter and Signal Control: A Lexicographic Optimization Approach
von: Pham, Viet Hoang, et al.
Veröffentlicht: (2025)

Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach
von: Sen, Rudra, et al.
Veröffentlicht: (2025)

Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
von: Lichtlé, Nathan, et al.
Veröffentlicht: (2024)

Control Synthesis with Reinforcement Learning: A Modeling Perspective
von: Xu, Nikki, et al.
Veröffentlicht: (2025)

Dictionary-free Koopman Predictive Control for Autonomous Vehicles in Mixed Traffic
von: Shang, Xu, et al.
Veröffentlicht: (2025)

Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
von: Song, Xiaofei, et al.
Veröffentlicht: (2026)

Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
von: Veksler, Yaron, et al.
Veröffentlicht: (2024)