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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 101–125 of 201 papers

TitleStatusHype
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach—0
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control—0
Reinforcement learning for traffic signal control in hybrid action space—0
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal ControlCode0
LibSignal: An Open Library for Traffic Signal ControlCode1
DynamicLight: Two-Stage Dynamic Traffic Signal TimingCode0
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement LearningCode1
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning—0
Modeling Network-level Traffic Flow Transitions on Sparse DataCode0
Model-based graph reinforcement learning for inductive traffic signal controlCode1
Scalable Model-based Policy Optimization for Decentralized Networked Systems—0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System—0
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality—0
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking—0
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control—0
Cooperative Reinforcement Learning on Traffic Signal Control—0
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources—0
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication MethodCode1
DynLight: Realize dynamic phase duration with multi-level traffic signal control—0
Random Ensemble Reinforcement Learning for Traffic Signal Control—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Testing Stationarity and Change Point Detection in Reinforcement LearningCode1
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