Performance Evaluation of a LiDAR-Integrated IoT System for Real-Time Vehicle Speed Enforcement
Keywords:
accident, high speed, highway, speed detection, TF-Mini LiDARAbstract
Traffic accidents in Indonesia are caused by several factors, including human, vehicle, and environmental factors. One of the primary causes of traffic accidents is human error resulting from driving at high speeds. This study presents the design and testing of an Internet of Things (IoT)-based vehicle speed detection system designed for use on toll roads. The developed system prototype integrates a TF-Mini LiDAR distance sensor, a GPS module, and a Raspberry Pi single-board computer. The system can measure vehicle speed in real time and capture images of vehicles that exceed the set speed limit. Test results indicate that the LiDAR sensor accurately measures vehicle distances up to 10 meters with an error rate of approximately 3%. Furthermore, the system reliably detects and reports vehicles traveling over the highway speed limit of 100 km/h. The IoT architecture enables remote monitoring via a web-based interface. The results of this study indicate that the developed system has the potential to serve as an affordable and integrated vehicle speed monitoring device. Future research will focus on a more in-depth calibration process, field implementation, and the development of automated warning features to notify authorities when speed limit violations occur.
Abstrak: Kecelakaan lalu lintas di Indonesia disebabkan oleh beberapa faktor, termasuk faktor manusia, faktor kendaraan, dan faktor lingkungan. Salah satu penyebab utama kecelakaan lalu lintas adalah kesalahan manusia yang disebabkan oleh berkendara dengan kecepatan tinggi. Penelitian ini memaparkan desain dan pengujian sistem pendeteksi kecepatan kendaraan berbasis Internet of Things (IoT) yang dirancang untuk digunakan di jalan tol. Prototipe sistem yang dikembangkan mengintegrasikan sensor jarak TF-Mini LiDAR, modul GPS, dan mikrokontroler Raspberry Pi. Sistem ini dapat mengukur kecepatan kendaraan secara real-time dan menangkap gambar kendaraan yang melebihi batas kecepatan yang ditetapkan. Hasil pengujian menunjukkan bahwa sensor LiDAR secara akurat mengukur jarak kendaraan hingga 10 meter dengan tingkat kesalahan sekitar 3%. Selain itu, sistem ini secara andal mendeteksi dan melaporkan kendaraan yang melaju melebihi batas kecepatan jalan tol sebesar 100 km/jam. Arsitektur IoT yang digunakan memungkinkan pemantauan jarak jauh melalui antarmuka berbasis web. Hasil penelitian ini menunjukkan bahwa sistem yang dikembangkan berpotensi berfungsi sebagai perangkat pemantauan kecepatan kendaraan yang terjangkau dan terintegrasi. Penelitian selanjutnya akan berfokus pada proses kalibrasi yang lebih mendalam, implementasi lapangan, serta pengembangan fitur peringatan otomatis untuk memberitahukan pihak berwenang ketika terjadi pelanggaran batas kecepatan.
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