"Drive with confidence" - Vehicle Safety System is a project born in response to the continuous growth of China's economic and urbanization process, as well as the increasing number of fatalities caused by frequent traffic accidents. With the frequent occurrence of traffic accidents, people's attention to the automotive industry has shifted from car performance to car safety. With the development of technologies such as in-vehicle mobile communication, the development and application of smart devices are becoming increasingly popular. This article primarily focuses on the application of sensor technology, CAN bus technology, vehicle information acquisition technology, GNSS positioning technology, and data fusion of 5G mobile communication for developing an intelligent safety system that implements sensor alarms and facilitates the quick evacuation of passengers in the event of a fire accident through window breaking. Its main functions include smoke, temperature, humidity, CO2 concentration detection within the vehicle, reading of passenger vehicle driving data, transmission of information to onboard terminal modules, remote backend monitoring, and automatic window breaking functionality. Experimental results indicate that various sensors perform well, and all onboard hardware modules function properly. The supervisory backend can receive real-time information from the system terminals and monitor vehicle positioning and speed status information. Both automatic and manual window breaking can be realized.

Hongjing Yuan, Zhengquan Zheng, Qing Chang. Research on the vehicle safety protection system "Drive with confidence". Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 11: 15-24. https://doi.org/10.25236/AJETS.2023.061103.

[1] Zhu Y D, Zhao G Y, Li W M, et al. Design of automatic window breaking system based on electromagnetic launch vehicle[J]. Journal of Lanzhou Institute of Technology, 2019, 26(1): 72-75.

[2] Chang B J, Li Y H, Chen S P, et al. Cross-layer-based adaptive TCP algorithm for cloud computing services in 4G LTE-A relaying communication[J]. Wireless Networks, 2016, 23(21): 80-82.

[3] Eum Y J, Lee M C. Communication of system based on CAN for acoustic emission diagnostic[C]// International Conference on Control. 2018: 62-67.

[4] HJ Burckhart, BM González Berges, H Milcent. A Prototype application for evaluating epics and can bus[J]. Journal of Clinical Psychiatry, 2017, 18(2): 359-369.

[5] Jafarinejad F, Pouyan A A. A modular synthesis approach for intelligent manufacturing system design: A Petri net based transformation method[C]. // Signal Processing and Intelligent Systems Conference (SPIS). 2016: 40-42.

[6] Zhu H. Research on Automatic Control of Intelligent Manufacturing System based on PID[J]. Automation & Instrumentation, 2022, 67(11): 11-13.

[7] Ren B T, Deng W W, Bai X S, et al. A review of simulation scenario construction technology for intelligent driving test[J]. Electronic Fabrication , 2021, 78(56): 20-24.

[8] Jin G X, Sheng W X, Peng Y L, et al. Anti-fatigue intelligent driving system based on face recognition[J]. Electronic Fabrication, 2022, 20(11): 30.

[9] Zhang Y, Wang J W, Li S H, et al. Research on dynamic characteristics of multi-vehicle-bridge coupling system based on intelligent driving electric vehicle[J]. Chinese Journal of Mechanics, 2022, 54(9): 2627-2639.

[10] Li D Y, Li Y K, Yi Tao, et al. Design of automobile intelligent lighting control system based on STM32[J]. Automation and Instrumentation, 2021, 87(9): 20-23.

[11] Zhang Y, Wang J W, Li S H, et al. Research on dynamic characteristics of multi-vehicle-bridge coupling system based on intelligent driving electric vehicle[J]. Chinese Journal of Mechanics, 2022, 54(9): 13-15.

[12] Tan D K, Xiao Z D, Zhu B, et al. Research on intelligent evaluation system of road test based on point cloud object detection[J]. Modern electronic technology, 2023, 46(2): 8.