Fully Protected and Secure Smart Vehicle

Himanshu*, Jayprakashyadav**, Akshat Jain***, Alok Singh****
*-**** Faculty of Electrical Engineering, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow, Uttar Pradesh, India.
Periodicity:January - June'2022
DOI : https://doi.org/10.26634/jes.10.2.18705

Abstract

Security while traveling is a primary concern for everyone. The purpose of this paper is to find a solution to reduce the annual occurrence of road traffic accidents, which are one of the main causes of death. Designing vehicles with sensors based on microcontrollers could be a solution to achieve this goal. These sensors are made up of tiny devices that work in such a way as to determine the parameters of the vehicle. The ultrasonic sensors will be able to help the driver to drive the vehicle in foggy conditions and prevent frontal collision with the last moment emergency braking system. The vibration detector is used to detect the annoying vibrations of the vehicle. For example, if the vehicle suspension is loose and needs maintenance, it is detected by the vibration sensor. The overheating of electric vehicle motors and batteries causes them to ignite, so flame sensors are also used, and these signals are sent to the microcontroller, which analyses the signals and generates message signals accordingly. If any accident occurs, the vibration detector and the ADXL collision detector will detect the accident and send a signal to the microcontroller. The microcontroller will get the location of the vehicle via NEO 6M Global Positioning System (GPS) and automatically send the message signal via SIM 900A General Packet Radio Services (GPRS) cellular communication system to the nearest police station and hospital for ambulance service. This system not only tries to prevent traffic accidents but also helps to get treatment facilities as quickly as possible. This function can be implemented in any type of vehicle.

Keywords

Designing Secure Vehicle, Last Moment Emergency Braking, Monitoring Vehicle Parameters, Location Tracking, Accident Detection, Providing Help on Time.

How to Cite this Article?

Himanshu., Jayprakashyadav., Jain, A., and Singh, A. (2022). Fully Protected and Secure Smart Vehicle. i-manager’s Journal on Embedded Systems, 10(2), 9-15. https://doi.org/10.26634/jes.10.2.18705

References

[1]. ElectronicWings. (n.d.). SIM900A GSM Module Interfacing with Arduino UNO. Retrieved from https://www. electronicwings.com/arduino/sim900a-gsm-moduleinterfacing-with-arduino-uno
[2]. Lee, S., Tewolde, G., & Kwon, J. (2014). Design and implementation of vehicle tracking system using GPS/GSM/GPRS technology and smartphone application. In 2014, IEEE World Forum on Internet of Things (WF-IoT), 353-358. https://doi.org/10.1109/WF-IoT.2014.6803187
[3]. Leo, J. J.,Monisha, R., Sakthi, B. T. S., & Sunder, A. J. C. (2014). Vehicle movement control and accident avoidance in hilly track. In 2014, International Conference on Electronics and Communication Systems (ICECS), 1-5. https://doi.org/10.1109/ECS.2014.6892757
[4]. Nandaniya, K., Choksi, V., Patel, A., &Potdar, M. B. (2014). Automatic accident alert and safety system using embedded GSM interface. International Journal of Computer Applications, 85(6). https://doi.org/10.5120/14847-3201
[5]. Prabha, C., Sunitha, R., & Anitha, R. (2014). Automatic vehicle accident detection and messaging system using GSM and GPS modem. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(7), 10723-10727. https://doi.org/10.15662/ijareeie.2014.0307062
[6]. Prachi, B., Kasturi, D., & Priyanka, C. (2014). Intelligent accident-detection and ambulance-rescue system. International Journal of Scientific & Technology Research, 3(6), 67-70.
[7]. Rahman, M. M., Mou, J. R., Tara, K., & Sarkar, M. I. (2016). Real time Google map and Arduino based vehicle tracking system. In 2016, 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 1-4. https://doi.org/10.1109/ICECTE.2016.7879577
[8]. Rakul, R. S., Ravia, S., & Thirukkuralkani, K. N. (2016). Implementation of vehicle mishap averting system using arduino microcontroller. International Journal of Engineering Research &Technology (IJERT), 5(4), 569-573.
[9]. Sonika, S., Sathiyasekar, K., & Jaishree, S. (2014). Intelligent accident identification system using GPS, GSM modem. International Journal of Advanced Research in Computer and Communication Engineering, 3(2), 5487-5489.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.