Adaptive Traffic Signal Control System Using Deep Reinforcement Learning

Satyam Kumar Agrawal; Rajinder Kumar Sharma; Pankaj Srivastava; Vinal Patel

doi:10.1109/inspect63485.2024.10896157

ScienceGate Book Chapters

JOURNAL ARTICLE

Adaptive Traffic Signal Control System Using Deep Reinforcement Learning

Satyam Kumar Agrawal Rajinder Kumar Sharma Pankaj Srivastava Vinal Patel

Year: 2024 Pages: 1-6

DOI: 10.1109/inspect63485.2024.10896157

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Adaptive control Traffic signal SIGNAL (programming language) Artificial intelligence Control (management) Real-time computing

Metrics

Cited By

0.54

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Elevator Systems and Control

Physical Sciences → Engineering → Control and Systems Engineering

Adaptive Traffic Signal Control System Using Deep Reinforcement Learning

Metrics

Citation History

Topics

Related Documents

Adaptive traffic signal control using deep reinforcement learning for network traffic incidents

Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning

Adaptive Traffic Control Using Deep Reinforcement Learning

Reinforcement Learning for Adaptive Traffic Signal Control Using Deep Q-Networks

Autonomous traffic signal control using deep reinforcement learning