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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 1–25 of 201 papers

TitleStatusHype
HiLight: A Hierarchical Reinforcement Learning Framework with Global Adversarial Guidance for Large-Scale Traffic Signal Control—0
Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study—0
VLMLight: Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning—0
CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments—0
Dynamic Location Search for Identifying Maximum Weighted Independent Sets in Complex Networks—0
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement LearningCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal ControlCode0
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data—0
A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal ControlCode0
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control—0
Adaptive model predictive control for traffic signal timing with unknown demand and parameters—0
Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning—0
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse—0
Using a single actor to output personalized policy for different intersections—0
DreamerV3 for Traffic Signal Control: Hyperparameter Tuning and Performance—0
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control—0
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control—0
FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control—0
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities—0
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control—0
Integrated Strategy for Urban Traffic Optimization: Prediction, Adaptive Signal Control, and Distributed Communication via Messaging—0
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