Prototipe Sistem Deteksi Kemacetan Jalan Raya Berbasis Internet Of Things (IoT)

Abstract

Along with the progress of the times and technology is currently increasing the number of motorized vehicles on the highway. However, this increase in the number of motorized vehicles is not matched by an increase in road volume capacity, causing traffic congestion. The purpose of this study was to find out information about traffic conditions at highway intersections. This research is a prototype that describes a four-way intersection that has infrared sensors in each path. This infrared sensor is used as a vehicle detector. Tests on the prototype made various traffic conditions that are relevant to the actual situation. This research utilizes the concept of the Internet of things (IoT) prototype which is made to be connected to the internet network so that users can find out traffic conditions remotely and in real time. One of the information media used in this research is Twitter. The results of this study indicate that the prototype made can work well. The infrared sensor used can work optimally and can detect vehicles precisely at a sensitivity range of 4.5 cm. The average delay in sending notification tweets is 18 seconds.

Keywords

Traffic Congestion, Infrared, IoT, Twitter

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References

Fatimah, S., Syakdiah, S., & Kusumawiranti, R. (2022). Kebijakan Pemerintah dalam Mengatasi Kemacetan di Kota Yogyakarta (Studi Penelitian di Jalan Malioboro di JalanTentara Pelajar). POPULIKA, 10(1), 24-41.

Girsang, W. E. J. (2020). Analisis Kerugian Pengguna Jalan Akibat Kemacetan Lalu Lintas di Kota Medan. [Online]. Available: https://repositori.usu.ac.id/handle/123456789/31014

Purba, A., & Sadnowo, A. (2017). Pengembangan Sistem Monitoring Lampu Lalu-Lintas Berbasis Microcontroller dengan Sms Jaringan GSM. http://cantilever. unsri. ac. id.

Ramadhan, H. K. (2020). Prototipe Lampu Lalu Lintas Dengan Pewaktuan Adaptif. JTET (Jurnal Teknik Elektro Terapan), 9(1), 1-5.

Rosyady, P. A., & Sumiharto, R. (2018). Highway Visual Tracking System using Thresholding and Hough Transform. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, 4(2), 93-99.

Siswaya, S., Sunardi, S., & Yudhana, A. (2018). Sistem Pakar Sebagai Pengendali Lampu Lalu-Lintas Pada Persimpangan Jalan Menggunakan Fuzzy Logic Berbasis Android. Prosiding SNST Fakultas Teknik, 1(1).

Espressif Systems. (2022). ESP32­WROOM­32. [Online]. Available: https://www.espressif.com/en/support/download/documents.

Rosyady, P. A., Fajeri, F., & Agustian, M. A. (2022). Pengukuran Kedalaman dan Koordinat Jalan Berlubang Menggunakan Sensor Ultrasonik dan GPS Berbasis Internet of Things (IoT). AVITEC, 4(1), 1-12.

Siswaya, S., Sunardi, S., & Yudhana, A. (2021). Analisis Sistem Traffic Light Untuk Optimalisasi dan Antisipasi Kemacetan Lalu Lintas Berbasis Android. Respati, 16(3), 86-91.

BR, N. R. (2019). Prototype Smart Traffic Light Otomatis Berbasis Atmega-328 dengan Sensor Jarak. JE-Unisla, 4(2), 265-268.

Rivai, D. P., & Santoso, B. (2019). Model Rekayasa Traffic Light Menggunakan Arduino. Jurnal Cosphi, 3(1).

Rusmana, D. (2019). Design Of Traffic Light Using Infrared Sensor Based on Fuzzy Logic. Incomtech, 8(2), 37-42.

Juniana, P., & Hakim, L. (2019). Kendali Lampu Lalu Lintas Dengan Menggunakan Metode Fuzzy Logic Mamdani. J. Terap. Teknol. Inf, 3(1), 1-10.

Saputra, I., & Slameta, S. (2020, September). Prototipe Penggunaan Sensor Ultrasonik Terintegrasi Dengan Jaringan Internet Google Firebase Untuk Pengaturan Durasi Lampu Lalu Lintas. In Prosiding Industrial Research Workshop and National Seminar (Vol. 11, No. 1, pp. 287-292).

Alaidi, A., Aljazaery, I., Alrikabi, H., Mahmood, I., & Abed, F. (2020). Design and implementation of a smart traffic light management system controlled wirelessly by arduino. International Journal of Interactive Mobile Technologies, vol. 14, no. 7, pp. 32–40, 2020, doi: 10.3991/ijim.v14i07.12823.

Mudjanarko, S. W., Winardi, S., & Limantara, A. D. (2017). Pemanfaatan internet of things (iot) sebagai solusi manejemen transportasi kendaraan sepeda motor. Pros. Semin. Nas. Apl. Teknol. Prasarana Wil. X, August, pp. 1–16, 2017, doi: 10.31219/osf.io/6ue4b.

Pravalika, V., & Prasad, C. R. (2019). Internet of things based home monitoring and device control using Esp32. International Journal of Recent Technology and Engineering, 8(1S4), 58-62.

Mariyam, M., Asparizal, A., & Azkiya, A. (2018). Pengembangan Simulasi Pengendalian Lampu Lalu Lintas Dan Pendeteksi Kepadatan Berbasis Arduino Mega 2560 Menggunakan Ldr Dan Laser. Lentera Dumai, 9(2).

Fezari, M., & Al Dahoud, A. (2018). Integrated development environment “IDE” for Arduino. WSN applications, 1-12.

Limantara, A. D., Winardi, S., & Mudjanarko, S. W. (2017). Pemanfaatan Internet of Things (IoT) Sebagai Solusi Manajemen Transportasi Kendaraan Sepeda Motor. [Online]. Available: https://www.researchgate.net/publication/320699658

Ramadhan, Z. A., Mohammed, B. K., & Alwaily, A. H. (2021). Design and implement a smart traffic light controlled by internet of things. Periodicals of Engineering and Natural Sciences (PEN), 9(4), 542-548.

Novikov, A., Novikov, I., & Shevtsova, A. (2019). Modeling of traffic-light signalization depending on the quality of traffic flow in the city. Journal of applied engineering science, 17(2), 175-181.

Shenbagavalli, S., Priyadharshini, T., Sowntharya, S., Manikandan, P., & Saravanan, D. S. (2020). Design and implementation of smart traffic controlling system. International Journal of Engineering Technology Research & Management, 4(4), 28-36.

http://dx.doi.org/10.28989/avitec.v4i2.1270

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