Performance Evaluation of Tilt-based Vehicle Accident Report System Using Triple Modular Redundancy

Authors

DOI:

https://doi.org/10.25126/jitecs.202383569

Abstract

A vehicle accident report system was designed to detect accidents accurately and send message to related person. However, after accident, some components or modules can be damaged and it may cause failure of accident detection. Therefore, Triple Modular Redundancy (TMR) method was implemented in the system to mask faults within the modules and ensure the system to continue working. TMR is one of passive hardware redundancy methods. The system includes three MPU-6050 sensors functioning as vehicle tilt sensors to provide hardware redundancy, a TC9548A module serving as an I2C multiplexer, an Arduino Nano acting as a microcontroller and voter, and a NodeMCU ESP8266 responsible for transmitting message. Based on experiment results, the TMR system has a reliability value of 0.9928, a failure rate value of 0.0004/cycle, and accuracy of 3 sensor value of 85%. While, the non-redundancy system has a reliability value of 0.9286, a failure rate value of 0.0053/cycle, and accuracy of single sensor value of 57%. The results of the system process were sent to and displayed via an e-mail. It can be concluded that the TMR system has better performance than the non-redundancy one.

References

E. Nasr, E. Kfoury and D. Khoury, "An IoT Approach to Vehicle Accident Detection, Reporting, and Navigation," in IEEE International Multidisciplinary Conference on Engineering Technology, Beirut, 2016.

M. Balfaqih, S. A. Alharbi, M. Alzain, F. Alqurashi and S. Almilad, "An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City," Sustainability, vol. 14, no. 1, p. 210, 2022.

S. Senthilkumar, K. Brindha and S. Bhandari, "Vehicle accident management and control system using MQTT," International Journal of Advances in Applied Sciences, vol. 9, no. 1, pp. 1-11, 2020.

R. Havinal, K. K. Sanjay, B. J. Sadhana, B. M. Shashank and B. Pavan, "Automatic Accident Detection and Rescue System Using GPS Point Loacation," International Research Journal of Engineering and Technology, vol. 7, no. 8, pp. 2835-2841, 2020.

K. A. Khaliq, S. M. Raza, O. Chughtai, A. Qayyum and J. Pannek, "Experimental validation of an accident detection and management application in vehicular environment," Computers and Electrical Engineering, vol. 71, pp. 137-150, 2018.

D. Wanner, A. S. Trigell, L. Drugge and J. Jerrelind, "Survey on fault-tolerant vehicle design," World Electric Vehicle Journal, vol. 5, no. 2, pp. 598-609, 2012.

T. M. Julitz, A. Tordeux and M. Lower, "Reliability of fault-tolerant system architectures for automated driving systems," in European Safety and Reliability Conference, Dublin, 2022.

A. Schnellbach, "Fail-operational automotive systems," Graz University of Technology, Graz, 2016.

E. Dubrova, Fault-Tolerant Design, New York: Springer, 2013.

T. Arifeen, A. S. Hassan and J.-A. Lee, "A Fault Tolerant Voter for Approximate Triple Modular Redundancy," Electronics, vol. 8, no. 3, p. 332, 2019.

P. Balasubramanian and K. Prasad, "A Fault Tolerance Improved Majority Voter for TMR System Architectures," WSEAS Transactions on Circuits and Systems, vol. 15, pp. 108-122, 2016.

K. P. Sampoornam, S. Saranya, S. Vigneshwaran, P. Sofiarani, S. Sarmitha and N. Sarumathi, "Intelligent Expeditious Accident Detection and Prevention System," in International Conference on Materials, Manufacturing, and Machining for Industry 4.0, Tamil Nadu, 2021.

T. P. Chikaka and O. M. Longe, "An Automatic Vehicle Accident Detection and Rescue System," in IEEE International Forum on Research and Technology for Society and Industry, Naples, 2021.

M. Kiran and B. M. R. Gopinath, "IoT Based Advanced Accident Alert and Vehicle Monitoring System," International Journal of Innovative Research in Applied Sciences and Engineering, vol. 3, no. 1, pp. 412-415, 2019.

K. A. Khaliq, O. Chughtai, A. Shahwani, A. Qayyum and J. Pannek, "Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing," Electronics, vol. 8, no. 8, p. 896, 2019.

G. K. Sahoo, S. A. Patro, P. K. Pradhan, S. K. Das and P. Singh, "An IoT-Based Intimation and Path Tracing of a Vehicle Involved in Road Traffic Crashes," in IEEE HYDCON, Hyderabad, 2020.

Last Minute Engineers, "Interface MPU6050 Accelerometer and Gyroscope Sensor with Arduino," [Online]. Available: https://lastminuteengineers.com/mpu6050-accel-gyro-arduino-tutorial/. [Accessed 2 June 2023].

H. A. Ibrahim, A. K. Aly and B. H. Far, "A System for Vehicle Collision and Rollover Detection," in IEEE Canadian Conference on Electrical and Computer Engineering, Vancouver, 2016.

M. Lupitha and Haryono, "Prototype of movement monitoring Objects using Arduino Nano and SMS Notifications," Sinkron : Jurnal dan Penelitian Teknik Informatika, vol. 7, no. 2, pp. 601-610, 2022.

InvenSense Inc., "MPU-6000 and MPU-6050 Product Specification Revision 3.4," InvenSense, California, 2013.

I. Koren and C. M. Krishna, Fault-Tolerant Systems, San Francisco: Elsevier, 2007.

H. A. Ibrahim, A. K. Aly and B. H. Far, "A System for Vehicle Collision and Rollover Detection," in IEEE Canadian Conference on Electrical and Computer Engineering, Vancouver, 2016.

M. Lupitha and Haryono, "Prototype of movement monitoring Objects using Arduino Nano and SMS Notifications," Sinkron : Jurnal dan Penelitian Teknik Informatika, vol. 7, no. 2, pp. 601-610, 2022.

InvenSense Inc., "MPU-6000 and MPU-6050 Product Specification Revision 3.4," InvenSense, California, 2013.

I. Koren and C. M. Krishna, Fault-Tolerant Systems, San Francisco: Elsevier, 2007.

Downloads

Published

2023-12-15

How to Cite

Primananda, R., Bagus Prabowo, B., Budi, A. S., Tri Ananta, M., & Abidin, Z. (2023). Performance Evaluation of Tilt-based Vehicle Accident Report System Using Triple Modular Redundancy. Journal of Information Technology and Computer Science, 8(3), 241–252. https://doi.org/10.25126/jitecs.202383569

Issue

Section

Articles