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   <dc:title>Safety evaluation of autonomous vehicles in real traffic</dc:title>
   <dc:title>Safety evaluation of autonomous vehicles in mixed traffic</dc:title>
   <dc:creator>Vilà Muñoz, Ricard</dc:creator>
   <dc:contributor>Chalmers tekniska högskola</dc:contributor>
   <dc:contributor>Chen, Lei</dc:contributor>
   <dc:contributor>Gao, Kun</dc:contributor>
   <dc:subject>Automated vehicles</dc:subject>
   <dc:subject>autonomous vehicles</dc:subject>
   <dc:subject>STPA</dc:subject>
   <dc:subject>system dynamics</dc:subject>
   <dc:subject>causal loop diagram</dc:subject>
   <dc:subject>mixed traffic</dc:subject>
   <dc:subject>Vensim</dc:subject>
   <dc:subject>Vehicles autònoms</dc:subject>
   <dc:description>This thesis proposes an approach to evaluate the safety of autonomous vehicles in&#xd;
real traffic by using Causal Loop Diagrams from System Dynamic theory from a&#xd;
previous System-Theoretic Process Analysis. The Causal Loop Diagram allows the&#xd;
user to model behavioural relationships among various components of the system.&#xd;
A case study has been implemented where an intersection between mixed traffic and&#xd;
autonomous vehicles was analyzed. Risks were analyzed with causal relations that&#xd;
were modelled in Causal Loop Diagrams. The practice of combining STPA and SD&#xd;
consolidates it as a potential framework to analyse the safety of autonomous vehicles&#xd;
in complex traffic and can be applied in other areas.</dc:description>
   <dc:description>Outgoing</dc:description>
   <dc:date>2023-08</dc:date>
   <dc:type>Master thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2117/401133</dc:identifier>
   <dc:identifier>PRISMA-173165</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Open Access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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