Research Article
Smart Speedometer with NFC Integration: Enhancing Two-Wheeler Safety and Accident Response through Advanced Sensor Technology
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Abstract
Analyzing the stability range of acceleration in two-wheelers is a desired measurement for predicting its level of running. Though enduringly installed sensing units are supposed to be efficiently feasible, the sensor ought to operate with low power utilization and usage of highly responsive devices as MEMS sensors lead to the high usefulness of the arrangement. For safeguard purposes, the airbag deployment phase is provided in cars. Like the airbag system in a car, the Accident Detection System (ADS) in two-wheelers is an improvement in security measures. In this paper, an ADS is framed on the basis of contributing services to users. The following characteristics are used to carry out the developed work: to develop a technique to detect two-wheeler accidents; to assist the medical rescue team in getting to the scene of the accident as soon as possible; To raise the survival probability of the two-wheeler rider and co-rider. A prototype of this system was designed, and the performance was evaluated by installing it in a two-wheeler. Near Field Communication (NFC) is used for bike locking/unlocking systems in two-wheelers.
Keywords
MEMS sensor (MPU 6050) Global System for Mobile/GPRS (SIM900) Global Positioning System Arduino-mega board 16x2 LCD Near field communicationReferences (15)
- [1] Falahati, A., & Shafiee, E. (2022). Improve safety and security of intelligent railway transportation system based on balise using machine learning algorithm and fuzzy system. International journal of intelligent transportation systems research, 20(1), 117–131. https://doi.org/10.1007/s13177-021-00274-1
- [2] Archana, D., Boomija, G., Manisha, J., & Kalaiselvi, V. K. G. (2017). Mission on! Innovations in bike systems to provide a safe ride based on IoT. 2017 2nd international conference on computing and communications technologies (ICCCT) (pp. 314–317). IEEE. https://doi.org/10.1109/ICCCT2.2017.7972296
- [3] Al Mamun, M. A., Puspo, J. A., & Das, A. K. (2017). An intelligent smartphone based approach using iot for ensuring safe driving. 2017 international conference on electrical engineering and computer science (ICECOS) (pp. 217–223). IEEE. https://doi.org/10.1109/ICECOS.2017.8167137
- [4] Sethi, P., & Sarangi, S. R. (2017). Internet of things: Architectures, protocols, and applications. Journal of electrical and computer engineering, 2017(1), 9324035. https://doi.org/10.1155/2017/9324035
- [5] Razzaque, M. A., & Clarke, S. (2015). A security-aware safety management framework for iot-integrated bikes. 2015 IEEE 2nd world forum on internet of things (WF-IoT) (pp. 92–97). IEEE. https://doi.org/10.1109/WF-IoT.2015.7389033
- [6] Nasr, E., Kfoury, E., & Khoury, D. (2016). An iot approach to vehicle accident detection, reporting, and navigation. 2016 IEEE international multidisciplinary conference on engineering technology (IMCET) (pp. 231–236). IEEE. https://doi.org/10.1109/IMCET.2016.7777457
- [7] Bari, A. S., Falalu, M. A., Umar, M. A., Sulaiman, Y. Y., Gamble, A. M., & Baballe, M. A. (2022). Accident detection and alerting systems: A review. Global journal of research in engineering & computer, 2(4). https://doi.org/10.5281/zenodo.7063008
- [8] Ulz, T., Pieber, T., Steger, C., Lesjak, C., Bock, H., & Matischek, R. (2017). Secureconfig: NFC and qr-code based hybrid approach for smart sensor configuration. 2017 IEEE international conference on rfid (RFID) (pp. 41–46). IEEE. https://doi.org/10.1109/RFID.2017.7945585
- [9] Patil, M. M., Rawat, A., Singh, P., & Dixit, S. (2016). Accident detection and ambulance control using intelligent traffic control system. International journal of engineering trends and technology (IJETT), 34(8), 400–404. https://doi.org/10.14445/22315381/IJETT-V34P278
- [10] Gautam, M. S., Chahal, R. P., Duhan, S., & Khatri, H. (2021). Analysis of fusion excitation function for 16 o+ 64 zn reaction at sub-barrier energies. In Progression in science, technology and smart computing (pp. 100–104). https://b2n.ir/p12768
- [11] Kambadkone, P. R., Hancke, G. P., & Ramotsoela, T. D. (2017). Real time speed detection and ticketing system. 2017 IEEE africon (pp. 1593–1598). IEEE. https://doi.org/10.1109/AFRCON.2017.8095720
- [12] Fernando, A. H. V, Muthuarachchi, M. D. C., Anandakumar, D. R., Chamalka, W. N. R. B., Gamage, M. P., & Amarasena, N. C. (2020). Motorcyclists safety assistant app. 2020 11th IEEE annual information technology, electronics and mobile communication conference (IEMCON) (pp. 414–419). IEEE. https://doi.org/10.1109/IEMCON51383.2020.9284940
- [13] Bibri, S. E. (2018). The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable cities and society, 38, 230–253. https://doi.org/10.1016/j.scs.2017.12.034
- [14] Dong, G., Tang, M., Wang, Z., Gao, J., Guo, S., Cai, L., … Boukhechba, M. (2023). Graph neural networks in IoT: A survey. ACM transactions on networking., 19(2). https://doi.org/10.1145/3565973
- [15] Chen, H., Liu, J., Wang, J., & Xun, Y. (2023). Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures. Vehicular communications, 39, 100548. https://doi.org/10.1016/j.vehcom.2022.100548
Article Metrics
- Published 2024-11-10
- Issue Vol. 1 No. 4 (2024): Computational Engineering and Technology Innovations
- Section Articles
- Document Type Research Article
- Views 835
- Downloads 475
How to Cite
Marinković, D., Saeedi, S., & Božanić, D. (2024). Smart Speedometer with NFC Integration: Enhancing Two-Wheeler Safety and Accident Response through Advanced Sensor Technology. Computational Engineering and Technology Innovations, 1(4), 202-209. https://doi.org/10.48314/ceti.v1i4.41