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		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_519626864&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 519626864&quot;&gt;Draft Content 519626864&lt;/a&gt; to &lt;a href=&quot;/public/Hoogendoorn_et_al_2013b&quot; title=&quot;Hoogendoorn et al 2013b&quot;&gt;Hoogendoorn et al 2013b&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 10:43, 16 February 2021&lt;/td&gt;
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		<id>https://www.scipedia.com/wd/index.php?title=Hoogendoorn_et_al_2013b&amp;diff=216324&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This paper presents a continuous traffic-flow model for the explorative analysis of advanced driver-assistance systems (ADASs). Such systems use technology (s...&quot;</title>
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				<updated>2021-02-16T10:43:52Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This paper presents a continuous traffic-flow model for the explorative analysis of advanced driver-assistance systems (ADASs). Such systems use technology (s...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
This paper presents a continuous traffic-flow model for the explorative analysis of advanced driver-assistance systems (ADASs). Such systems use technology (sensors and intervehicle communication) to support the task of the driver, who retains full control over the vehicle. Based on a review of different traffic-flow modeling approaches and their suitability for exploring traffic-flow patterns in the presence of ADASs, kinetic traffic-flow models are selected because of their good representation on both the aggregate level (congestion dynamics) and the level of the individual vehicle (vehicular interactions either directly or through intervehicle communication). The human-kinetic modeling approach is presented. It is a multiclass variant of kinetic traffic-flow models that is strongly based on individual driver behavior, i.e., on fully continuous acceleration/deceleration behavior and explicit modeling of the activation level of the driver. The strength of this modeling approach is illustrated by application to a driver-assistance system that uses intervehicle communication. It warns drivers when approaching sharp decelerations in a queue tail. The explorative analysis shows that the system results in safer and smoother transition from free-flowing to congested traffic. It also avoids compression of the queue tail, thus preventing the emergence of stop-and-go congestion patterns.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.1109/tits.2009.2026442 http://dx.doi.org/10.1109/tits.2009.2026442]&lt;br /&gt;
&lt;br /&gt;
* [http://infoscience.epfl.ch/record/188483 http://infoscience.epfl.ch/record/188483]&lt;br /&gt;
&lt;br /&gt;
* [http://resolver.tudelft.nl/uuid:a5f15128-931f-4088-b736-3e96b34a4ba7 http://resolver.tudelft.nl/uuid:a5f15128-931f-4088-b736-3e96b34a4ba7]&lt;br /&gt;
&lt;br /&gt;
* [https://research.utwente.nl/en/publications/continuous-traffic-flow-modeling-of-driver-support-systems-in-multiclass-traffic-with-intervehicle-communication-and-drivers-in-the-loop(fb984090-9303-40ab-ab1a-6ee8c23844be).html https://research.utwente.nl/en/publications/continuous-traffic-flow-modeling-of-driver-support-systems-in-multiclass-traffic-with-intervehicle-communication-and-drivers-in-the-loop(fb984090-9303-40ab-ab1a-6ee8c23844be).html]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx5/6979/5338639/05169853.pdf?arnumber=5169853 http://xplorestaging.ieee.org/ielx5/6979/5338639/05169853.pdf?arnumber=5169853],&lt;br /&gt;
: [http://dx.doi.org/10.1109/tits.2009.2026442 http://dx.doi.org/10.1109/tits.2009.2026442]&lt;br /&gt;
&lt;br /&gt;
* [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005169853 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005169853],&lt;br /&gt;
: [https://infoscience.epfl.ch/record/188483 https://infoscience.epfl.ch/record/188483],&lt;br /&gt;
: [https://repository.tudelft.nl/view/tno/uuid:a5f15128-931f-4088-b736-3e96b34a4ba7 https://repository.tudelft.nl/view/tno/uuid:a5f15128-931f-4088-b736-3e96b34a4ba7],&lt;br /&gt;
: [https://www.narcis.nl/publication/RecordID/oai:tudelft.nl:uuid:a5f15128-931f-4088-b736-3e96b34a4ba7 https://www.narcis.nl/publication/RecordID/oai:tudelft.nl:uuid:a5f15128-931f-4088-b736-3e96b34a4ba7],&lt;br /&gt;
: [https://dblp.uni-trier.de/db/journals/tits/tits10.html#TampereHA09 https://dblp.uni-trier.de/db/journals/tits/tits10.html#TampereHA09],&lt;br /&gt;
: [http://ieeexplore.ieee.org/document/5169853 http://ieeexplore.ieee.org/document/5169853],&lt;br /&gt;
: [https://ieeexplore.ieee.org/document/5169853 https://ieeexplore.ieee.org/document/5169853],&lt;br /&gt;
: [http://dx.doi.org/10.1109/TITS.2009.2026442 http://dx.doi.org/10.1109/TITS.2009.2026442],&lt;br /&gt;
: [https://research.utwente.nl/en/publications/continuous-traffic-flow-modeling-of-driver-support-systems-in-mul https://research.utwente.nl/en/publications/continuous-traffic-flow-modeling-of-driver-support-systems-in-mul],&lt;br /&gt;
: [https://dl.acm.org/citation.cfm?id=1721241 https://dl.acm.org/citation.cfm?id=1721241],&lt;br /&gt;
: [https://doi.org/10.1109/TITS.2009.2026442 https://doi.org/10.1109/TITS.2009.2026442],&lt;br /&gt;
: [https://lirias.kuleuven.be/handle/123456789/293865 https://lirias.kuleuven.be/handle/123456789/293865],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2118338009 https://academic.microsoft.com/#/detail/2118338009]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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