ScienceGate Book Chapters

JOURNAL ARTICLE

Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Transport engineering Artificial intelligence Engineering

Metrics

2

Cited By

1.27

FWCI (Field Weighted Citation Impact)

14

Refs

0.76

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Railway Systems and Energy Efficiency

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Related Documents

JOURNAL ARTICLE

Intelligent Traffic Management System using Multi-Agent Reinforcement Learning

Dima Shaheen Getzi Jeba Leelipushpam Paulraj Immanuel Johnraja Jebadurai Stewart Kirubakaran S

Year: 2025 Pages: 1975-1981

JOURNAL ARTICLE

Deep Reinforcement Learning With Multi-Agent Collaboration For Intelligent Traffic Management Systems

A Bhagyalakshmi K. Ruth Ramya

Journal: International Journal of Environmental Sciences Year: 2025 Pages: 1801-1810

JOURNAL ARTICLE

Modelling railway traffic management through multi-agent systems and reinforcement learning

A Bretas A Mendes S Chalup M Jackson R Clement C Sanhueza A Bazzan F Klgl B Chen H Cheng F Corman A D'ariano F Corman L Meng A D'ariano R Hemelrijk P Davidsson L Henesey L Ramstedt J Trnquist F Wernstedt T Ho T Yeung H Khadilkar L Lamorgese C Mannino D Pacciarelli J Krasemann A Mendes M Jackson M Paula O Rojas S Narayanaswami N Rangaraj H Proenc a E Oliveira M Savelsbergh M Talebian J Trnquist P Davidsson D emrov R Marseti M ura L Todorovski A Srdic

Journal: El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation. Year: 2019

BOOK-CHAPTER

Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller

B. Thamilselvam Subrahmanyam Kalyanasundaram M. V. Panduranga Rao

IFIP advances in information and communication technology Year: 2023 Pages: 45-56

BOOK-CHAPTER

Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning

Shunya Kitagawa Ahmed Moustafa Takayuki Itō

Lecture notes in computer science Year: 2019 Pages: 337-349