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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 51–100 of 201 papers

TitleStatusHype
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts—0
Intersection-Aware Assessment of EMS Accessibility in NYC: A Data-Driven Approach—0
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning—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
Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning—0
Cooperative Reinforcement Learning on Traffic Signal Control—0
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner—0
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Connected Vehicle Supported Adaptive Traffic Control for Near-congested Condition in a Mixed Traffic Stream—0
A probabilistic model for missing traffic volume reconstruction based on data fusion—0
Intelligent Autonomous Intersection Management—0
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control—0
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System—0
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control—0
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control—0
Intelligent Traffic Control System by Using Image Information—0
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
Effects of Smart Traffic Signal Control on Air Quality—0
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control—0
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse—0
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework—0
Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion—0
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control—0
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control—0
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control—0
FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control—0
From Single Agent to Multi-Agent: Improving Traffic Signal Control—0
Scalable Model-based Policy Optimization for Decentralized Networked Systems—0
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities—0
DynLight: Realize dynamic phase duration with multi-level traffic signal control—0
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference—0
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning—0
Dynamic Location Search for Identifying Maximum Weighted Independent Sets in Complex Networks—0
CityLight: A Universal Model for Coordinated Traffic Signal Control in City-scale Heterogeneous Intersections—0
HiLight: A Hierarchical Reinforcement Learning Framework with Global Adversarial Guidance for Large-Scale Traffic Signal Control—0
Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control—0
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
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