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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 61–70 of 201 papers

TitleStatusHype
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner—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
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization—0
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control—0
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control—0
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