https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Eriksson_2014aEriksson 2014a - Revision history2026-05-07T17:07:34ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Eriksson_2014a&diff=189049&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 696452816 to Eriksson 2014a2021-01-26T13:24:32Z<p>Scipediacontent moved page <a href="/public/Draft_Content_696452816" class="mw-redirect" title="Draft Content 696452816">Draft Content 696452816</a> to <a href="/public/Eriksson_2014a" title="Eriksson 2014a">Eriksson 2014a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Eriksson_2014a&diff=189048&oldid=prevScipediacontent: Created page with " == Abstract == Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantage..."2021-01-26T13:24:28Z<p>Created page with " == Abstract == Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantage..."</p>
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== Abstract ==<br />
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Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantages of highly automated vehicles are many, safer roads and a lower environmental impact are some of the arguments for this technology. However, the notion of highly automated cars give rise to a large number of human factor issues regarding the safety and reliability of the automated system as well as concern about the driver’s role in the system.<br/><br/>The purpose of this study was to explore the effects of systematic variations in traffic complexity and external time pressure on decision-making time in a simulated situation using a web-based testing platform. A secondary focus was to examine whether measures of cognitive performance and driver attitudes have an effect on decision-making time.<br/><br/> The results show that systematic variations in both time pressure and traffic complexity have an effect on decision-making time. This indicates that drivers are able to adapt their decision-making to facilitate the requirements of a certain situation. The results also indicate that intelligence; speed of processing and driver attitudes has an effect on decision-making time.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107119 http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107119]<br />
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* [https://eprints.soton.ac.uk/368565 https://eprints.soton.ac.uk/368565]</div>Scipediacontent