Traffic flow control using multi-agent reinforcement learning

Ahmad Zeynivand; A. Javadpour; Sadegh Bolouki; Arun Kumar Sangaiah; F. Ja’fari; Pedro Pinto; Wanyi Zhang

doi:10.1016/j.jnca.2022.103497

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Traffic flow control using multi-agent reinforcement learning

Ahmad Zeynivand A. Javadpour Sadegh Bolouki Arun Kumar Sangaiah F. Ja’fari Pedro Pinto Wanyi Zhang

Year: 2022 Journal: Journal of Network and Computer Applications Vol: 207 Pages: 103497-103497 Publisher: Elsevier BV

DOI: 10.1016/j.jnca.2022.103497

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Keywords:

Computer science Reinforcement learning Queue Vehicular ad hoc network Quality of service Duration (music) Network packet Database transaction Quality (philosophy) Control (management) Computer network Intelligent transportation system Service (business) Artificial intelligence Wireless ad hoc network Telecommunications Wireless Transport engineering Database

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3.40

FWCI (Field Weighted Citation Impact)

Refs

0.90

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

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic flow control using multi-agent reinforcement learning

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Citation History

Topics

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