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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 1–50 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
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning—0
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal ControlCode0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control—0
Artificial Intelligence in Traffic Systems—0
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts—0
TransferLight: Zero-Shot Traffic Signal Control on any Road-Network—0
A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure—0
Intersection-Aware Assessment of EMS Accessibility in NYC: A Data-Driven Approach—0
Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning—0
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control—0
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning—0
Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning—0
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control—0
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal ControlCode1
Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments—0
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers—0
Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion—0
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions—0
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring CamerasCode0
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach—0
MoveLight: Enhancing Traffic Signal Control through Movement-Centric Deep Reinforcement Learning—0
Phase Re-service in Reinforcement Learning Traffic Signal Control—0
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control AgentsCode0
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvementCode2
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