https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Pakdamanian_Benzaman_2020aPakdamanian Benzaman 2020a - Revision history2026-04-10T19:34:27ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Pakdamanian_Benzaman_2020a&diff=201268&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 523535977 to Pakdamanian Benzaman 2020a2021-02-02T03:12:30Z<p>Scipediacontent moved page <a href="/public/Draft_Content_523535977" class="mw-redirect" title="Draft Content 523535977">Draft Content 523535977</a> to <a href="/public/Pakdamanian_Benzaman_2020a" title="Pakdamanian Benzaman 2020a">Pakdamanian Benzaman 2020a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Pakdamanian_Benzaman_2020a&diff=201267&oldid=prevScipediacontent: Created page with " == Abstract == Several factors influence traffic congestion and overall traffic dynamics. Simulation modelling has been utilized to understand the traffic performance parame..."2021-02-02T03:12:25Z<p>Created page with " == Abstract == Several factors influence traffic congestion and overall traffic dynamics. Simulation modelling has been utilized to understand the traffic performance parame..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Several factors influence traffic congestion and overall traffic dynamics. Simulation modelling has been utilized to understand the traffic performance parameters during traffic congestions. This paper focuses on driver behavior of route selection by differentiating three distinguishable decisions, which are shortest distance routing, shortest time routing and less crowded road routing. This research generated 864 different scenarios to capture various traffic dynamics under collective driving behavior of route selection. Factors such as vehicle arrival rate, behaviors at system boundary and traffic light phasing were considered. The simulation results revealed that shortest time routing scenario offered the best solution considering all forms of interactions among the factors. Overall, this routing behavior reduces traffic wait time and total time (by 69.5% and 65.72%) compared to shortest distance routing.<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://arxiv.org/pdf/1907.00450 http://arxiv.org/pdf/1907.00450]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/8977453/9004651/09004870.pdf?arnumber=9004870 http://xplorestaging.ieee.org/ielx7/8977453/9004651/09004870.pdf?arnumber=9004870],<br />
: [http://dx.doi.org/10.1109/wsc40007.2019.9004870 http://dx.doi.org/10.1109/wsc40007.2019.9004870]<br />
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* [https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-00450 https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-00450],<br />
: [https://www.preprints.org/manuscript/201907.0270/v1/download https://www.preprints.org/manuscript/201907.0270/v1/download],<br />
: [https://www.preprints.org/manuscript/201907.0270/v1 https://www.preprints.org/manuscript/201907.0270/v1],<br />
: [https://academic.microsoft.com/#/detail/3007497312 https://academic.microsoft.com/#/detail/3007497312]</div>Scipediacontent