Ceven, S.Albayrak, A.Bayir, R.2024-08-232024-08-232022979-835039676-8https://doi.org/10.1109/ICAIoT57170.2022.10121880https://hdl.handle.net/20.500.12684/147242022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710Today, CAN Bus protocol is widely used in various technological fields such as industrial, medical or automotive. Data is provided from ECUs and diagnostic codes through the OBD-II system, which is a standard in vehicles. The aim of this study is to develop an experimental setup to analyze driver driving skills based on vehicle data obtained over CAN Bus protocol with an open-source software. In this study, an experimental setup with a PiCAN 2 module and an LCD touch screen compatible with Raspberry Pi 3 Model B+ has been developed. Thanks to the developed experimental setup, it is connected to the vehicle ECU via an OBD-II connector to obtain real-time ECU data of the vehicle. This article presents validation tests to determine the design and construction phases of the system and its functionality as a data logger. Python programming language CAN software library was used on the experimental setup. © 2022 IEEE.en10.1109/ICAIoT57170.2022.10121880info:eu-repo/semantics/closedAccessCAN Busdata acquisitiondriver skillsOBD-II SystemDiagnosisLiquid crystal displaysOpen source softwareOpen systemsTouch screensVehiclesAutomotivesBus protocolCAN busDesign and constructionDriver skillDriving skillsOBD-II systemOpen-source softwaresReal- timeValidation testData acquisitionConference Object2-s2.0-85160559580N/A