Intelligent Bicycle Safety and Tracking System: A GPS and GSM-Based Approach

Authors

  • Ibrahim A. Ameen University of Information Technology and communications

DOI:

https://doi.org/10.61132/jupiter.v3i1.713

Keywords:

Bicycle communication with other road users, bicycle speed monitoring, bicycle visibility, bicycle rear-end protection, location tracking

Abstract

Bicycles are affordable and healthy, cause zero harm to the environment, require little space on roads and parks, and are not noisy transportation means. However, cyclists face challenges on roads, which may lead to injuries and deaths. For instance, cyclists visibility, speed management, ability to communicate with other road users, backward accidents, and ability to be located in urgent cases. This paper presents performance, tracking, and safety systems from hardware and software point of view. As a result, cyclists monitor their speed to manage; their locations are tracked, and their cycling paths are traced. Also, a rear red light and turn signal LEDs are activated without any physical action from the rider to communicate with other drivers. Moreover, a microwave radar sensor with a range of seven meters is employed to protect the cyclist from backward-approaching vehicles. Finally, three Arduino UNO boards with GPS, GSM modules, MPU-6050, and RCWL-0516 sensors are mounted on a conventional bicycle to provide safer trips.

References

Adaramola, B. A., Salau, A. O., Adetunji, F. O., Fadodun, O. G., & Ogundipe, A. T. (2020). Development and performance analysis of a GPS-GSM guided system for vehicle tracking. 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 286–290. IEEE.

Aher, P. (2023). Implementation of smart helmet based on IoT. International Journal for Research in Applied Science and Engineering Technology, 11(4), 1700–1705. https://doi.org/10.22214/ijraset.2023.50458

Aisuwarya, R., Riyan, M. A., & Putri, R. E. (2019). Design of bicycle’s speed measurement system using Hall effect sensor. Journal of Physics: Conference Series, 1339(1). https://doi.org/10.1088/1742-6596/1339/1/012018

Alam, A. I., Rahman, M., Afroz, S., Alam, M., Uddin, J., & Alam, M. A. (2018). IoT-enabled smart bicycle safety system. 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV), 374–378. IEEE. https://doi.org/10.1109/ICIEV.2018.8641067

Aljunid, S. A., et al. (2018). Cyclist monitoring system using NI myRIO-1900. MATEC Web of Conferences, 150. https://doi.org/10.1051/matecconf/201815001006

Beg, M. S., Shamim, R., Hafeez, A., & Govila, S. (2022). Development of a smart wireless system for the safety of bike riders. International Journal of Computer Applications, 184(39), 29–33. https://doi.org/10.5120/ijca2022922499

Bishop, D. T., Waheed, H., Dkaidek, T. S., & Broadbent, D. P. (2024). The effect of rear bicycle light configurations on drivers' perception of cyclists' presence and proximity. Accident Analysis & Prevention, 197, 107418. https://doi.org/10.1016/j.aap.2023.107418

Black, A. A., et al. (2020). Effects of night-time bicycling visibility aids on vehicle passing distance. Accident Analysis & Prevention, 144, 105636. https://doi.org/10.1016/j.aap.2020.105636

Choi, M. J., Kim, Y. H., Kim, E. J., & Song, J. W. (2020). Enhancement of heading accuracy for GPS/INS by employing average velocity in low dynamic situations. IEEE Access, 8, 43826–43837. https://doi.org/10.1109/ACCESS.2020.2977675

Edewaard, D. E., Fekety, D. K., Szubski, E. C., Tyrrell, R. A., & Rosopa, P. J. (2017). The conspicuity benefits of dynamic and static bicycle taillights at night. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), 1567–1568. https://doi.org/10.1177/1541931213601755

Edewaard, D. E., Szubski, E. C., Tyrrell, R. A., & Duchowski, A. T. (2019). The conspicuity benefits of bicycle taillights in daylight. Driving Assessment Conference, 10(2019). University of Iowa.

Ferreira, J., & Costa, D. (2024). Enhancing cycling safety in smart cities: A data-driven embedded risk alert system. Smart Cities, 7(4), 1992–2014. https://doi.org/10.3390/smartcities7040079

Gupta, N. S., Nandini, M., Sowjanya, N., Sai, L. P., & Sai, K. Smart system for rider safety and accident detection.

Hsieh, M. C., Chen, L. X., Lee, Y. C., & Liu, Q. M. (2022). A simulation-based study of the effect of brake light flashing frequency on driver brake behavior from the perspective of response time. Behavioral Sciences (Basel), 12(9). https://doi.org/10.3390/bs12090332

Htwe, T. T., & Hlaing, K. K. (2019). Arduino-based tracking system using GPS and GSM. International Journal for Advance Research and Development, 4(8), 11–15.

Islam, M. M., Ridwan, A. M., Mary, M. M., Siam, M. F., Mumu, S. A., & Rana, S. (2020). Design and implementation of a smart bike accident detection system. 2020 IEEE Region 10 Symposium (TENSYMP), 386–389. IEEE. https://doi.org/10.1109/TENSYMP50017.2020.9230656

Jeon, W., & Rajamani, R. (2019). Active sensing on a bicycle for simultaneous search and tracking of multiple rear vehicles. IEEE Transactions on Vehicular Technology, 68(6), 5295–5308. https://doi.org/10.1109/TVT.2019.2911572

Kapousizis, G., Ulak, M. B., Geurs, K., & Havinga, P. J. M. (2022). A review of state-of-the-art bicycle technologies affecting cycling safety: Level of smartness and technology readiness. Transport Reviews, 43(3), 430–452. https://doi.org/10.1080/01441647.2022.2122625

Kassim, A., Tayyeb, H., & Al-Falahi, M. (2020). Critical review of cyclist speed measuring techniques. Journal of Traffic and Transportation Engineering (English Edition), 7(1), 98–110. https://doi.org/10.1016/j.jtte.2019.09.001

Shokri, S., Rahemi, N., & Mosavi, M. R. (2019). Improving GPS positioning accuracy using weighted Kalman filter and variance estimation methods. CEAS Aeronautical Journal, 11(2), 515–527. https://doi.org/10.1007/s13272-019-00433-x

Shravya, K., Mandapati, Y., Keerthi, D., Harika, K., & Senapati, R. K. (2019). Smart helmet for safe driving. E3S Web of Conferences, 87, 01023. https://doi.org/10.1051/e3sconf/20198701023

Swathi, S., Raj, S., & Devaraj, D. (2019). Microcontroller and sensor-based smart biking system for driver’s safety. 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 1–5. IEEE. https://doi.org/10.1109/INCOS45849.2019.8951409

Tabei, F., Askarian, B., & Chong, J. W. (2021). Accident detection system for bicycle riders. IEEE Sensors Journal, 21(2), 878–885. https://doi.org/10.1109/JSEN.2020.3021652

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Published

2025-01-13

How to Cite

Ibrahim A. Ameen. (2025). Intelligent Bicycle Safety and Tracking System: A GPS and GSM-Based Approach. Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro Dan Informatika, 3(1), 222–238. https://doi.org/10.61132/jupiter.v3i1.713

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