Edge Artificial Intelligence

25Development of Low-Cost Road Surface Classification System Using Acceleration Sensors on Motorcycles

Nguyen Van Thang¹*, Phi Duc Thang¹, Le Minh Kien¹, Nguyen Thi Thu² and To Hieu Dao³

¹Faculty of Electronics and Telecommunications, University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam

²Faculty of Embedded Systems and Integrated Circuits, School of Electrical and Electronic Engineering, Hanoi University of Industry, Ha Noi, Viet Nam

³Faculty of Electrical and Electronic Engineering, Phenikaa School of Engineering, Phenikaa University, Yen Nghia, Ha Dong District, Ha Noi City, Viet Nam

Abstract

Nowadays, many roads have serious problems such as potholes, gravel, and obstacles, making it difficult for drivers to navigate. Current researches around the world are mainly aimed at integrating road surface monitoring systems into cars. However, because the road infrastructure in Vietnam still has many limitations, applying this system to cars may not be appropriate. Therefore, in this paper, we present a method to build a road surface quality classification system using acceleration sensors. The goal is to develop a low-cost device mounted on a specialized motorcycle and collect, provide appropriate road surface classification results during travel. This helps support road condition monitoring to facilitate maintenance and construction work to improve the quality of road infrastructure. The research also applies machine learning models, using algorithms ...