Leveraging Blockchain to Enhance the Efficiency and Data Integrity of Systems Monitoring Drivers’ Sobriety

Driving under the influence (DUI) is one of the main factors that contribute to accidents and fatalities, when it comes to road safety. This paper addresses the limitations of traditional road monitoring techniques and presents a real-time, non-invasive monitoring system, designed to prevent DUI incidents. The system integrates advanced sensor technology with a modular sensor battery and data collection platform to collect and analyze data, including geolocation and blood alcohol concentration levels. The main focus is on ensuring that data within the system cannot be tampered with, which is achieved by leveraging blockchain technology, specifically through the use of smart contracts. A multi-level notification system is proposed to accelerate incident reporting, along with an API for third-party access to sobriety records. To demonstrate the potential of the system, a large scale implementation is discussed, the case study being public transportation monitoring in Iasi, Romania. Current implementation stages and potential improvements are explored to optimize the system for widespread deployment.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/roedunet64292.2024.10722099
Citations
6
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
1.59
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article

Leveraging Blockchain to Enhance the Efficiency and Data Integrity of Systems Monitoring Drivers’ Sobriety

Adrian Alexandrescu, Daniela Tărniceriu, Delia-Elena Bărbuță, Mihaela Gavrilă
6 citations
Traffic Prediction and Management Techniques
1.59
article

Leveraging Blockchain to Enhance the Efficiency and Data Integrity of Systems Monitoring Drivers’ Sobriety

Adrian Alexandrescu, Daniela Tărniceriu, Delia-Elena Bărbuță, Mihaela Gavrilă
article en
6 citations

Abstract

Driving under the influence (DUI) is one of the main factors that contribute to accidents and fatalities, when it comes to road safety. This paper addresses the limitations of traditional road monitoring techniques and presents a real-time, non-invasive monitoring system, designed to prevent DUI incidents. The system integrates advanced sensor technology with a modular sensor battery and data collection platform to collect and analyze data, including geolocation and blood alcohol concentration levels. The main focus is on ensuring that data within the system cannot be tampered with, which is achieved by leveraging blockchain technology, specifically through the use of smart contracts. A multi-level notification system is proposed to accelerate incident reporting, along with an API for third-party access to sobriety records. To demonstrate the potential of the system, a large scale implementation is discussed, the case study being public transportation monitoring in Iasi, Romania. Current implementation stages and potential improvements are explored to optimize the system for widespread deployment.

Gheorghe Asachi Technical University of Iași (RO)
Openalex Percentile: Top 18%
Traffic Prediction and Management Techniques
1.59
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