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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 2 Issue 3</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Information Technology</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>May - June 2014</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2019</Year>
        <Month>11</Month>
        <Day>16</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>Real Time Tracking System using GPS</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>49</FirstPage>
      <LastPage>52</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Swati B Patil</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
                      <FirstName>Saroja M. Kulkarni</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
           
        </Author>
      </AuthorList>
      <DOI></DOI>
      <Abstract>Public transportation is highly cost effective and environmental friendly solution for commuters. But the unreliability of the system because of lack of communication often prevents its widespread use. This paper describes the solution which makes the public Transportation more intelligent. The emphasis of this paper is on prediction of the bus arrival time, distance and geo-location based on various aspects like bus availability, average running speed and bus current location. For analysing these aspects, we have developed range of algorithms like dividing routes into segments, mapping bus location onto segment and finding accurate information for user&amp;rsquo;s query. Required resources are classified into two modules namely the GPS(Global Positioning System) module for tracking the bus&amp;rsquo;s potential GPS logs and the network infrastructure that allows the users to communicate, by querying for the bus information and receiving response on different platform like SMS, Android.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Android, Global Positioning System (GPS), Intelligent Transportation System, Travel Time Prediction, Real Time Tracking System, ,Short Messaging Service (SMS).</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=61</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>