A Systems Approach for Designing Open Vehicle Data Archiving Systems

The automotive ecosystem has rapidly transformed through the integration of digital systems, positioning the sector at the forefront of operational technology research and development. As vehicular technologies evolve, the demand for comprehensive and actionable automotive datasets has become critical. These datasets are essential not only for understanding the intricacies of modern automotive technologies but also for developing tools that enhance the safety and functionality of vehicles. However, current data collection tools often fail to capture the multi-layered complexity of automotive data, leading to datasets that are fragmented and limited in scope. This restriction impedes deep analytical insights and subsequent advancements in the field. Moreover, these tools frequently lack robust security measures, compromising the integrity and confidentiality of critical data.To address these issues, a systems approach is necessary, We propose a secure data archiving device, designed with a strong emphasis on systems security engineering utilizing a Model-Based Systems Engineering (MBSE) approach. This approach ensures systematic and integrated data capture at every level, from basic vehicle operations to more complex interactions. Our systems security oriented strategy not only preserves the integrity and confidentiality of the data but also provides a holistic view of vehicular networks, which is crucial for advancing research in areas heavily impacted by cybersecurity concerns. Designed from the ground up as an open-source solution, our device challenges the notion that open systems cannot be secure and demonstrates how systematic planning can lead to superior data collection capabilities. By leveraging advanced systems engineering techniques, our device sets the stage for significant improvements in vehicle system research, particularly in domains affected by cybersecurity and intelligent transportation challenges.