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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 151–200 of 201 papers

TitleStatusHype
A Genetic Programming System with an Epigenetic Mechanism for Traffic Signal Control—0
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation—0
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control—0
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control—0
A probabilistic model for missing traffic volume reconstruction based on data fusion—0
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner—0
Artificial Intelligence in Traffic Systems—0
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
A Survey on Traffic Signal Control Methods—0
A Taxonomy of Adaptive Traffic Signal Control—0
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles—0
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control—0
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization—0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control—0
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning—0
CityLight: A Universal Model for Coordinated Traffic Signal Control in City-scale Heterogeneous Intersections—0
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework—0
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control—0
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control—0
Connected Vehicle Supported Adaptive Traffic Control for Near-congested Condition in a Mixed Traffic Stream—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Cooperative Reinforcement Learning on Traffic Signal Control—0
Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control—0
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control—0
CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles—0
CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts—0
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control—0
Deep Reinforcement Learning for Adaptive Traffic Signal Control—0
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey—0
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Diagnosing Reinforcement Learning for Traffic Signal Control—0
Distributed Stochastic Model Predictive Control for an Urban Traffic Network—0
Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data—0
DreamerV3 for Traffic Signal Control: Hyperparameter Tuning and Performance—0
Dynamic Location Search for Identifying Maximum Weighted Independent Sets in Complex Networks—0
DynLight: Realize dynamic phase duration with multi-level traffic signal control—0
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control—0
Effects of Smart Traffic Signal Control on Air Quality—0
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System—0
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control—0
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