Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

Hao Peng; Bowen Du; Mingsheng Liu; Mingzhe Liu; Shumei Ji; Senzhang Wang; Xu Zhang; Lifang He

doi:10.1016/j.ins.2021.07.007

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JOURNAL ARTICLE

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

Hao Peng Bowen Du Mingsheng Liu Mingzhe Liu Shumei Ji Senzhang Wang Xu Zhang Lifang He

Year: 2021 Journal: Information Sciences Vol: 578 Pages: 401-416 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2021.07.007

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Keywords:

Computer science Graph Traffic flow (computer networking) Dynamic network analysis Data mining Convolutional neural network Flow network Reinforcement learning Traffic generation model Artificial intelligence Machine learning Theoretical computer science Real-time computing Computer network Mathematical optimization Mathematics

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20.43

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1.00

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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

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

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Citation History

Topics

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