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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development.

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第一作者： Anchal,Dahiya

第一单位： Department of Computer Science & Applications, MDU, Rohtak, Haryana, India.

作者： Anchal,Dahiya ^[1] ; Pooja,Mittal ^[1] ; Yogesh Kumar,Sharma ^[2] ; Umesh Kumar,Lilhore ^[3] ; Sarita,Simaiya ^[3] ; Mohd Anul,Haq ^[4] ; Mohammed A,Aleisa ^[4] ; Abdullah,Alenizi ^[5]

作者单位： Department of Computer Science & Applications, MDU, Rohtak, Haryana, India. ^[1] Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Field, Vaddeswaram, Guntur, AP, India. ^[2] Department of Computer Science and Engineering, Galgotias University, Greater Noida, UP, India. ^[3] College of Computer and Information Sciences, Majmaah University, Department of Computer Science, Al-Majmaah, Saudi Arabia. ^[4] Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al-Majmaah, Saudi Arabia. ^[5]

关键词 ARIMA Deep learning IoT LSTM Parking space Smart city

DOI 10.7717/peerj-cs.2645

PMID 39896018

发布时间 2025-02-04

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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development.

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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development.

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