<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-1708</article-id>
      <title-group>
        <article-title>Integrated adaptive driver alert system using IoT for road safety</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Thune</surname>
            <given-names>Neeta N.</given-names>
          </name>
          <aff>Department of Electronics and Telecommunication Engineering, Marathwada Mitra Mandal’s College of Engineering, Savitribai Phule Pune University, Maharashtra, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kanwade</surname>
            <given-names>A. B.</given-names>
          </name>
          <aff>Department of Electronics and Telecommunication Engineering, Marathwada Mitra Mandal’s College of Engineering, Savitribai Phule Pune University, Maharashtra, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ganvir</surname>
            <given-names>Neha</given-names>
          </name>
          <aff>Department of Electronics and Telecommunication Engineering, KJ College of Engineering Management and Research, Savitribai Phule Pune University, Maharashtra, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Navale</surname>
            <given-names>Mahesh</given-names>
          </name>
          <aff>Department of Electronics and Telecommunication Engineering, Marathwada Mitra Mandal’s College of Engineering, Savitribai Phule Pune University, Maharashtra, India</aff>
        </contrib>
      </contrib-group>
      <volume>46</volume>
      <issue>2</issue>
      <fpage>273</fpage>
      <lpage>280</lpage>
      <pub-date date-type="pub">
        <day>17</day>
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>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.</p>
      </abstract>
      <kwd-group>
        <kwd>Advanced driver assistance systems (ADAS)</kwd>
        <kwd>Internet of Things (IoT)</kwd>
        <kwd>Electroencephalogram (EEG)</kwd>
        <kwd>Integrated adaptive driver alert system (IADAS)</kwd>
      </kwd-group>
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          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
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        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
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  </front>
</article>
