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        <datestamp>2023-02-15T13:42:10Z</datestamp>
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          <dc:title>Time-to-failure and reliability test of autonomous vehicles that failed to obey traffic rules</dc:title>
          <dc:creator>Brain Ndlovu (14597738)</dc:creator>
          <dc:creator>Michael Ayomoh (13166874)</dc:creator>
          <dc:subject>Autonomous vehicle systems</dc:subject>
          <dc:subject>Intelligent robotics</dc:subject>
          <dc:subject>Systems engineering</dc:subject>
          <dc:subject>Robotics systems</dc:subject>
          <dc:subject>Intelligent systems</dc:subject>
          <dc:subject>Reliability analysis</dc:subject>
          <dc:subject>Autonomous vehicles design</dc:subject>
          <dc:subject>Traffic rules</dc:subject>
          <dc:description>&lt;p&gt;This data represents times at which an autonomous vehicle failed to adhere to traffic rules. There were 20 traffic rules assessed to calculate the reliability of autonomous vehicles by applying the reliability engineering technique called reliability analysis and also integrating statistics methods and applications. The tables (in the AutonomousVehicle_InitialAnalysis file) with zeros and ones represents a full assessment, whereby the red zeros represents a fail to adhere to traffic rules, black zeros reprents a rule not tested, and  green ones represents a pass.&lt;/p&gt;</dc:description>
          <dc:date>2023-02-15T13:42:10Z</dc:date>
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          <dc:identifier>10.25403/UPresearchdata.22099841.v1</dc:identifier>
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