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Academic Journal of Engineering and Technology Science, 2023, 6(11); doi: 10.25236/AJETS.2023.061115.

A New Warning System for Dangerous Driving Based on Internet of Things


Chao Zhang, Kairui Song, Shuai Yue

Corresponding Author:
Chao Zhang

School of Physics and Electronic Engineering, Taishan University, Tai’an 271000, China


According to the relevant investigation information of China's Ministry of Communications, the three main factors inducing traffic accidents today are drunk driving, dangerous driving and fatigue driving. Among them, China has regulated and treated drunk driving from the legal level, but there is still a lack of effective prevention and treatment measures for fatigue driving and dangerous driving. Therefore, it is necessary to detect fatigue driving and dangerous driving behavior accurately and flexibly. In this study, a new warning system for dangerous driving based on the Internet of Things is proposed, which can be used for various vehicles. It has various sensors (smoke sensor, alcohol sensor), 940 infrared lamp fill light, GPS module, etc. With the help of WIFI module, the user can calibrate the equipment and can alarm and upload it in real time. The device can detect and warn drivers of abnormal behaviors: fatigue detection, mobile phone playing detection, drunk driving and smoking detection.


Dangerous driving, sensor, GPS, WIFI

Cite This Paper

Chao Zhang, Kairui Song, Shuai Yue. A New Warning System for Dangerous Driving Based on Internet of Things. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 11: 101-104. https://doi.org/10.25236/AJETS.2023.061115.


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