A Blockchain-Based System for Monitoring Sobriety and Tracking Location of Traffic Drivers
This paper presents the design and implementation of a blockchain-secured system for monitoring driver sobriety and real-time geolocation. The proposed platform integrates a Modular Sensor Battery (MSB) for detecting alcohol concentration in exhaled air, a centralized Data Collection Platform (DC Platform) for real-time data visualization and storage, and a complementary physiological monitoring device—the IoT Fit-Bit Smart Band (IFSB)—which captures heart rate and blood oxygen saturation as alternative indicators when breath-based sensing may be compromised. The MSB, the DC Platform, integration with the IoT FitBit Smart Band, and the blockchain-based data management architecture represent the authors’ direct contribution to both the conceptual design and technical implementation. These elements are introduced as part of a unified, fully integrated system designed to enable non-invasive sobriety monitoring and secure data integrity in vehicular contexts. To ensure data authenticity, a custom Ethereum smart contract stores cryptographic hashes of sensor readings, enabling decentralized, tamper-evident verification without exposing sensitive medical information. The system was validated in a controlled experimental environment, confirming its operational robustness and demonstrating its potential to improve road safety through secure, real-time sobriety detection and geolocation tracking.
Authors
- Marin Fotache (ORCID: https://orcid.org/0000-0002-5873-159X)
- Lucian Trifina (ORCID: https://orcid.org/0000-0003-1697-6406)
- Mădălina-Giorgiana Murariu (ORCID: https://orcid.org/0009-0005-5156-1179)
- Daniela Tărniceriu (ORCID: https://orcid.org/0000-0003-2003-6644)
- Delia-Elena Bărbuță (ORCID: https://orcid.org/0009-0007-5139-7529)
- Mihaela Gavrilă (ORCID: https://orcid.org/0009-0008-1460-7782)
Institutions
- Alexandru Ioan Cuza University (RO)
- Gheorghe Asachi Technical University of Iași (RO)
Publication Details
- Journal
- Electronics
- Published
- 2025-09-20
- DOI
- https://doi.org/10.3390/electronics14183728
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00