Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network

Tianlin Zhang; Ying Liu; Zhenyu Cui; Jiaxu Leng; Weihong Xie; Liang Zhang

doi:10.1007/978-3-030-22744-9_24

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Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network

Tianlin Zhang Ying Liu Zhenyu Cui Jiaxu Leng Weihong Xie Liang Zhang

Year: 2019 Lecture notes in computer science Pages: 304-314 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-22744-9_24

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Keywords:

Computer science Traffic congestion Artificial neural network Term (time) Long short term memory Task (project management) Recurrent neural network Network congestion Artificial intelligence Real-time computing Computer network Transport engineering

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network

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