![]() ![]() Ritchie, “Integration of Weigh-in-Motion ( WIM ) and inductive signature data for truck body classification,” Transp. Investigator, “Improved Approach to Enforcement of Road Weight Restrictions,” no. La, “Improving truck safety : Potential of weigh-in-motion technology,” vol. Knoll, “Information Dynamics in Transportation Systems with Traffic Lights Control,” vol. ![]() Saunier, “Automated classification based on video data at intersections with heavy pedestrian and bicycle traffic : Methodology and application,” vol. Mallik, “Intelligent Transportation System,” vol. Abdullah, “A Survey on Intelligent Transportation Systems,” vol. Kata Kunci : Weigh in Motion, Manajemen Lalu Lintas, Load Cell Dari hasil pengujian didapatkan sistem WIM mampu melakukan pengukuran kendaraan berjalan dengan nilai rata-rata error yang dihasilkan untuk kecepatan 8.94%, jarak sumbu kendaraan 14.64%, dan beban kendaraan 10.21%. Pengujian sistem ini dilakukan menggunakan sebuah mobil penumpang dengan kecepatan yang berbeda-beda. Untuk mendukung sistem ini digunakan perangkat keras berupa sensor WIM yang terdiri dari Load Cell, modul penguat HX711 dan Arduino serta untuk data sinyal beban yang telah dihasilkan sistem WIM menggunakan metode analisa pengolahan sinyal. Pada penelitian ini dirancang sebuah sistem monitoring yang mampu mengolah dan menghitung data kendaraan berupa beban dan kecepatan kendaraan melalui sistem WIM. ![]() Weight in Motion (WIM) merupakan salah satu solusi inovatif dalam manajemen lalu lintas yang memungkinkan kendaraan ditimbang pada saat dalam perjalanan. Keywords : Weigh in Motion, Traffic Management, Load Cell ![]() Based on the test results, it is obtained that the WIM system is capable of measuring the running vehicle with the result of average error value for the speed is 8.94%, the distance of vehicle axle is 14.64%, and the vehicle load is 10.21%. Testing this system was conducted by using a passenger car at different speeds. To support this system, the hardware used in the form of WIM sensor consists of a Load Cell, a HX711 amplifier module, and an Arduino as well as for the load signal data that has been produced by WIM system using the signal processing analysis method. In this research, it is designed a monitoring system capable of processing and calculating vehicle data in the form of vehicle load and speed through the WIM system. Weigh in Motion (WIM) is one of the innovative solutions in traffic management that allows vehicles are weighed while on the way. ![]()
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