Pendeteksi Pelanggaran Lalu Lintas Kendaraan Lawan Arah berbasis Sensor Ultrasonik

DARMAWAN HIDAYAT, FADHIL BOMA NAUFAL, NENDI SUHENDI SYAFEI

Sari


ABSTRAK

Pelanggaran lalu lintas lawan arah kendaraan sepeda motor adalah pelanggaran yang banyak terjadi. Hal ini kerap menimbulkan korban. Makalah ini melaporkan prototipe sensor untuk deteksi pelanggaran lalu lintas lawan arah kendaraan sepeda motor di area lalu lintas Universitas Padjadjaran (Jatinangor) untuk keperluan pengelola dalam pengaturan lalu lintas kampus. Sistem sensor dibangun dari dua buah sensor ultrasonik (MB1030 MaxSonar EZ-3) untuk membaca arah pergerakan kendaraan. Sensor kendaraan mendeteksi pola spasial dan temporal gerakan kendaraan yang melintas. Pola pembacaan sensor ultrasonik diproses oleh mikrokontroller ATmega 328P dan hasilnya ditampilkan pada peraga LCD dan peraga buzzer. Data yang ditampilkan berupa jumlah pelanggaran lawan arah dan indikasi bunyi. Berdasarkan hasil pengujian, sistem dapat mendeteksi pelanggaran lawan arah sebesar 87,14%. Sistem ini juga dapat membedakan objek yang melintas antara kendaraan motor dengan pejalan kaki. Secara keseluruhan, sistem yang dibangun berfungsi sesuai rancangan untuk mendeteksi pelanggaran kendaraan sepeda motor lawan arah.

Kata kunci: lawan arah, ultrasonik, kirim-pantul, spasial-temporal, mikrokontroler

 

ABSTRACT

Opposite direction traffic violations are the most occurrences of traffic violations. This often causes fatal human injuries. This paper reports a design of sensor for detection of opposite direction traffic violations of motorcycle vehicles in the internal traffic area of Universitas Padjadjaran, Jatinangor campus, for in-campus traffic management purposes. The sensor system is built from two ultrasonic sensors (MB1030 MaxSonar EZ-3) to detect the direction of vehicle object movement. The sensors detect the direction according to the spatial and temporal patterns. The ultrasonic sensor reading pattern is processed by the ATmega 328P microcontroller and the results are displayed on an LCD and a sound buzzer. The displayed parameter is the number of opposite directioan violation and a beep sound. Based on the testing results, the system can detect a violation of the opposite direction by 87.14%. This system enables to distinguish motor vehicles and pedestrians objects. In conclusion, the system functions as designed to detect violations of motorcycle in the opposite direction.

Keywords: traffic violation, ultrasonic sensors, pulse-echo, spatial-temporal, microcontroller


Kata Kunci


lawan arah; ultrasonik; kirim-pantul; spasial-temporal; mikrokontroler

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Referensi


Agarwal, P., Chopra, K., Kashif, M., & Kumari, V. (2018). Implementing ALPR for detection of traffic violations : a step towards sustainability. Procedia Computer Science, 132, 738–743.

Al-shabibi, L., Jayaraman, N., & Vrindavanam, J. (2014). Automobile Speed Violation Detection System using RFID and GSM Technologies. International Journal of Applied Information Systems, 7(6), 24–29.

Alfarid, D., Hidayat, D., & Rohadi, N. (2021). Development of Vehicle Detection for One-Way Traffic Violation Based on Internet of Things. 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS), (pp. 1–5).

Aliane, N., Fernandez, J., Mata, M., & Bemposta, S. (2014). A System for Traffic Violation Detection. Sensors, 14(11), pp. 22113–22127.

Appiah, O., Quayson, E., & Opoku, E. (2020). Ultrasonic sensor based traffic information acquisition system; a cheaper alternative for ITS application in developing countries. Scientific African, 9, e00487.

Aseem, O. M. (2019). Traffic Violations for Safe Speed System. International Journal of Applied Engineering Research, 14(19), 3730–3733.

Bedruz, R. A., Uy, A. C. P., Quiros, A. R., Billones, R. K., Sybingco, E., Bandala, A., & Dadios, E. P. (2018). A Robotic Model Approach of an Automated Traffic Violation Detection System with Apprehension. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), (pp. 1–4).

Bolsunovskaya, M., Leksashov, A., Shirokova, S., & Tsygan, V. (2021). Development of an information system structure for photo-video recording of traffic violations. XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020), 244, (pp. 1–9).

Chaware, S., & Chaware, T. (2019). Proposed algorithm for smart traffic control using ultrasonic sensors. International Journal of Engineering and Advanced Technology, 8(6), 3912–3915.

Feng, M., Wang, X., & Quddus, M. (2020). Developing Multivariate Time Series Models to Examine the Interrelations between Police Enforcement , Traffic Violations , and Traffic Crashes. Analytic Methods in Accident Research, 28, 100139.

Goma, J. C. De, Eviota, M. A. J., & Lopena, V. P. (2020). Detecting Red-Light Runners ( RLR ) and Speeding Violation through Video Capture. 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA), (pp. 774–778).

Hajeb, S., Javadi, M., Hashemi, S. M., & Parvizi, P. (2013). Traffic Violation Detection System based on RFID. Traffic Violation Detection System Based on RFID, 7(2), 290–293.

Kulanthayan, S., Phang, W. K., & Hayati, K. S. (2007). Traffic Light Violation among Motorists in Malaysia. International Association of Traffic and Safety Sciences, 31(2), 67–73.

Li, G., Li, S. E., Zou, R., Liao, Y., & Cheng, B. (2019). Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations. Mechanical Systems and Signal Processing, 132, 535–545.

Liu, J., Han, J., Lv, H., & Li, B. (2015). An Ultrasonic Sensor System Based on a Two-Dimensional State Method for Highway Vehicle Violation Detection Applications. Sensors, 14(4), 9000–9021.

Mampilayil, H. R., & K, R. (2019). Deep learning based Detection of One Way Traffic Rule Violation of Three Wheeler Vehicles. 2019 International Conference on Intelligent Computing and Control Systems (ICCS), (pp. 1453–1457).

Prakash, N., Kamath, C. U., & Gururaja, H. S. (2020). Detection of Traffic Violations using Moving Object and Speed Detection. Wutan Huatan Jisuan Jishu, XVI(6), 61–72.

Sarowar, S. S., & Shende, P. S. M. (2015). Over Speed Violation Management and Control of Vehicle Based on Zigbee. International Journal of Engineering Research and General Science, 3(1), 1168–1173.

Sheikh, M. S., Liang, J., & Wang, W. (2020). An Improved Automatic Traffic Incident Detection Technique Using a Vehicle to Infrastructure Communication. Journal of Advanced Transportation, 2020, 1–14.

Sushmitha, M. C., Subhasree, J., Thushara, S. S., & Rajalakshmi, V. (2020). Traffic Rules Violation Detection System. 6th International Conference on Communication and Electronics Systems (ICCES), (pp. 1702–1704).




DOI: https://doi.org/10.26760/elkomika.v10i4.798

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ISSN (print) : 2338-8323 | ISSN (electronic) : 2459-9638

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