Work

Distributed Multi-Agent Reinforcement Learning for Cooperative Low-Carbon Control of Traffic Network Flow Using Cloud-Based Parallel Optimization

Year: 2024

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2024.3452430

Authors: Yongnan Zhang, Yonghua Zhou, Hamido Fujita

Institutions: Beijing University of Technology, Beijing Jiaotong University, University of Technology Malaysia

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Japan Society for the Promotion of Science

Awards: G3095560667, G4438949321, G6854292994, Healthcare Risk Prediction on Data Streams Employing Signal Transformation Network(OCSTN), G927994316

OpenAlex ID: W4402401590

FWCI: 2.511

Cites: 35

Cited by: 16

Related to: 10