Title: Remote intelligent monitoring method of automobile driving safety based on Internet of Things technology

Authors: Xi Qin

Addresses: School of Transportation Information Engineering, Guang' xi Transport Vocational and Technical College, Nan'ning, 530000, China

Abstract: In order to address the shortcomings of low monitoring accuracy and long response time in existing automobile driving safety monitoring methods, a remote intelligent monitoring method for automobile driving safety based on Internet of Things (IoT) technology is proposed. Firstly, construct a remote intelligent monitoring IoT framework for automotive driving safety, collecting multi-sensor device information, real-time positioning information, and distance measurement information; Then, the frequency correction factor is used to correct the frequency domain characteristics of the remote sensing signal; Finally, the regularisation term is added to the least squares method to fit the sensing data to obtain the actual sensing data and realise the remote intelligent monitoring of vehicle driving safety. The experimental results show that the proposed method has a monitoring accuracy of over 93% and a response time of less than 6 s, indicating that the proposed method has high monitoring accuracy, short response time, and good monitoring effect.

Keywords: IoT; Internet of Things technology; car driving safety; remote monitoring; sensor technology; frequency correction factor; least squares.

DOI: 10.1504/IJVD.2024.137839

International Journal of Vehicle Design, 2024 Vol.95 No.1/2, pp.22 - 37

Received: 18 Apr 2023
Accepted: 05 Sep 2023
Published online: 05 Apr 2024 *

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