Abstract
This paper proposes designing and structuring a Cyber-Physical System (CPS) with a specific focus on vehicles equipped with on-board diagnosis (OBD-II). The purpose of the CPS is to collect and assess data pertaining to the vehicle's Electronic Control Unit (ECU), such as engine RPM, speed, and other relevant parameters. The OBD-II scanner utilizes the obtained data on mass airflow (MAF) and vehicle speed to compute CO2 gas emissions and fuel consumption. The data is wirelessly communicated using a GSM module to a Semantic Web. The CPS also uses GPS tracking to ascertain the vehicle's whereabouts. A Semantic Web is utilized to construct a database management system that stores and manages sent data. A graphical user interface (GUI) is created to facilitate data analysis. It undergoes a sequence of qualification tests to verify the system's functionality. The results demonstrate that the system can accurately read parameters, process data, transfer information, and display readings.
Cite This Article
APA Style
Ali, S. H., Ullah, I., Ali, S. A., Haq, M. I. U, & Ullah, N. (2024). A Cyber-Physical System Based on On-Board Diagnosis (OBD-II) for Smart City. IECE Transactions on Intelligent Systematics, 1(2), 49–57. https://doi.org/10.62762/TIS.2024.329126
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