SOTAVerified

Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

Showing 76–100 of 201 papers

TitleStatusHype
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
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework—0
OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles—0
From Single Agent to Multi-Agent: Improving Traffic Signal Control—0
CityLight: A Universal Model for Coordinated Traffic Signal Control in City-scale Heterogeneous Intersections—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal ControlCode0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Uninterrupted Maximum Flow on Signalized Traffic Networks—0
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal HypergraphsCode0
Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks—0
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control—0
Learning Traffic Signal Control via Genetic Programming—0
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation—0
Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road NetworksCode0
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning—0
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control—0
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning—0
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