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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Integrated adaptive driver alert system using IoT for road safety

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pp. 273–280Vol. 46Issue 2March 2025DOI: 10.47974/JIOS-1708XML
Received:
13 Nov 2024
Published Online:
17 Mar 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1708
Pages:
273–280

Abstract

This paper introduces an Integrated Adaptive Driver Warning System (IADAS) utilizing Internet of Things (IoT) technologies to enhance road safety in modern vehicles. By employing a multi-sensor approach, including cameras, accelerometers, heart rate monitors, and GPS modules, the unit continuously monitors the driver’s behavior and surrounding environment in real-time. Advanced algorithms process this data to assess the driver’s cognitive state, fatigue level, and potential distractions. The integration of cloud services enables data storage, analysis, and remote monitoring of drivers. Overall, the IADAS represents a proactive and adaptive safety framework, aiming to reduce accidents by providing timely and contextual alerts to drivers, thus contributing to a safer transportation ecosystem.

Keywords

Subject Classifications

Primary 93A00Secondary 94A00

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