Blind Spot Detection to Prevent Serious Accidents for Children in Cyclists

Utari Sanaba, Virhan Mujahid Syufie, Rasyeedah Binti Mohd Othman, Muhammad Richard Dzaki Dharma

Abstract


Bicycles are a mode of transportation used not only to move a person from one point to another but also commonly as a means of exercise. The lack of a safety system on bicycles increases the risk of accidents and theft, especially for children who have not yet developed stable emotional control while cycling. The use of ultrasonic sensors can be applied as detectors to provide early warnings when a cyclist is about to switch lanes, considering the wide blind spot area for cyclists. In this research, the system includes an application that can control a smart lock and the boundaries of the detector using the TCP/IP protocol via SIM900A, allowing the bicycle owner to manage the device's condition and monitor the bicycle's location. After going through several stages of testing and analyzing the results, it can be concluded that the transmission of GPS position data was successfully stored and accurately reflected in the database, with errors of 0.0012614% and 5.41295E-05% for latitude and longitude data, respectively. The blind spot detector successfully measured the distance of walls and motor vehicles located within the cyclist's blind spot area with an accuracy of 85.54%, and the safety system—comprising the lock and LED indicator—was also successfully activated when a vehicle approached the cyclist within the blind zone.


Keywords


SIM900A; Blind spot detector; Ultrasonic sensor; Smart lock; GPS

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References


[1] S. Darsini, “Tinjauan Sosiologis Trend Bersepeda di Tengah Pandemi Virus Corona,” Habitus: Jurnal Pendidikan, Sosiologi, & Antropologi, 2021.

[2] J. Park, O. S. Namkung and J. Ko, “Changes in Public Bike Usage After The COVID-19 Outbreak: A Survey of Seoul Public Bike Sharing Users,” Sustainable Cities and Society , vol. XCVI, pp. 104716-104716, 2023.

[3] C. C. Anderson, D. E. Clarkson, V. A. Howie, C. J. Withyman and C. Vandelanotte, “Health and well-being benefits of e-bike commuting for inactive, overweight people living in regional Australia,” Health Promotion Journal, vol. 33, pp. 349-357, 2023.

[4] D. R. Budi, R. Widyaningsih, L. Nur, B. Agustan, D. R. A. S. Dwi, W. Qohar and A. Asnaldi, “Cycling During COVID-19 Pandemic: Sport or Lifestyle,” International Journal of Human Movement and Sports Sciences, 2021.

[5] I. Hastanto, “Kecelakaan Lalu Lintas Meningkat, Tren Bersepeda di Kota Besar Jadi Kambing Hitam,” VICE Media, 2020.

[6] “Jumlah Korban Kecelakaan Lalu Lintas enurut Jenis Kendaraan Bermotor di Provinsi DKI Jakarta,” Badan Pusat Statistik, DKI Jakarta, 2018.

[7] D. G. Pranata and J. Susanto, “Analisis Efektivitas Lajur Khusus Sepeda pada Kawasan Tomang-Cideng Timur,” JMTS: Jurnal Mitra Teknik Sipil, vol. IV, no. 1, pp. 13-22, 2021.

[8] R. G. Kusuma, Y. M. Devara, T. Handoyono and M. Arif, “Rancang Bangun Alat Blind Spot Area pada Kendaraan Truck Tangki Berbasis Mikrokontroler Arduino Uno,” Jurnal Keselamatan Transportasi Jalan, vol. VII, no. 1, pp. 1-7, 2020.

[9] A. C. Y. Tse, D. I. Anderson, V. H. L. Liu and S. Tsui, “Improving Executive Function of Children with Autism Spectrum Disorder through Cycling Skill Acquisition,” Medicine & Science in Sports & Exercise, vol. 53, pp. 1417-1424, 2021.

[10] H. R. Zadry, H. A. Aziz, M. Widia, E. H. Sukadarin, H. Osman, Z. M. Jawi and M. A. Rahamn, “Traffic Accident in Indonesia and Blind Spot Detection Technology-An Overview,” Human-Centered Technology for a Better Tomorrow, 2021.

[11] V. Ekroll, M. Svalebjørg, A. Pirrone, G. Böhm, S. Jentschke, R. v. Lier, J. Wagemans and A. Høye, “The illusion of absence: how a common feature of magic shows can explain a class of road accidents,” Cogn. Research, vol. VI, no. 22, pp. 1-16, 2021.

[12] M. R. W. Pratama, M. Abdurohman and A. G. Putrada, “Vehicle Blind Spot Area Detection Using Bluetooth Low Energy and Multilateration,” in 2021 9th International Conference on Information and Communication Technology (ICoICT), 2021.




DOI: https://doi.org/10.18860/ijeie.v1i1.34781

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