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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 151–175 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
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