Reinforcement learning based adaptive traffic signal control method invariant to the configuration of the traffic lights

Alexander Yumaganov; Anton Agafonov; Vladislav Myasnikov

doi:10.1109/itnt60778.2024.10582389

ScienceGate Book Chapters

JOURNAL ARTICLE

Reinforcement learning based adaptive traffic signal control method invariant to the configuration of the traffic lights

Alexander Yumaganov Anton Agafonov Vladislav Myasnikov

Year: 2024 Pages: 1-5

DOI: 10.1109/itnt60778.2024.10582389

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Traffic signal Computer science Adaptive control Invariant (physics) Reinforcement Control theory (sociology) Artificial intelligence Control (management) Real-time computing Engineering Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.11

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Elevator Systems and Control

Physical Sciences → Engineering → Control and Systems Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Reinforcement learning based adaptive traffic signal control method invariant to the configuration of the traffic lights

Metrics

Topics

Related Documents

Reinforcement learning-based adaptive traffic signal control invariant to traffic signal configuration

Control Method of Traffic Signal Lights Based On DDPG Reinforcement Learning

Reinforcement learning-based two-stage adaptive traffic signal control method

Adaptive Traffic Signal Control Method Based on Offline Reinforcement Learning

Reinforcement learning based adaptive control method for traffic lights in intelligent transportation