Democratizing IVDR Technology: Low-Cost Real-Time Driver Feedback Using Consumer Hardware
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Date
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Journal ISSN
Volume Title
Publisher
IEEE
DOI
10.1109/icai67591.2025.11324523
Abstract
In-Vehicle Data Recorders (IVDRs) have emerged as promising tools for improving road safety and driving efficiency by providing continuous monitoring and feedback to drivers. Despite their proven effectiveness in commercial applications, IVDR adoption remains limited due to high costs and accessibility issues, with most systems designed for commercial fleets rather than individual consumers. This paper presents a comprehensive study on the impact of IVDR feedback mechanisms on driver performance, integrating both literature review and practical experiments involving smartphone sensors and On-Board Diagnostics (OBD) data. The research combines findings from existing studies with newly collected datasets to analyze driving behavior across various conditions. We examine the influence of real-time feedback on key metrics such as harsh acceleration, braking frequency, speed variation, and fuel consumption through a dual-approach methodology. Our experiments achieved 89.2% classification accuracy using consumer-grade smartphone sensors and successfully extracted critical vehicle parameters from OBD-II ports across different vehicle generations, demonstrating broad compatibility with existing vehicle infrastructure. We developed four real-time feedback algorithms to provide immediate driver guidance, addressing safety, efficiency, and vehicle maintenance. The findings reveal the effectiveness of IVDRs in promoting safer driving habits and highlight opportunities for technological enhancements. Additionally, the research proposes innovative solutions to enhance the accessibility and affordability of IVDR technology, thereby democratizing safer driving practices. By offering actionable recommendations for integrating IVDR technology into vehicles, this research aims to contribute to broader-scale improvements in road safety and efficiency.
Description
Citation
2025 International Conference Automatics and Informatics (ICAI), IEEE, Varna, Bulgaria
