https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Jia_et_al_2016aJia et al 2016a - Revision history2026-05-08T17:31:32ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Jia_et_al_2016a&diff=198204&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 145740110 to Jia et al 2016a2021-02-01T21:21:36Z<p>Scipediacontent moved page <a href="/public/Draft_Content_145740110" class="mw-redirect" title="Draft Content 145740110">Draft Content 145740110</a> to <a href="/public/Jia_et_al_2016a" title="Jia et al 2016a">Jia et al 2016a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Jia_et_al_2016a&diff=198203&oldid=prevScipediacontent: Created page with " == Abstract == The connection between traffic congestion and regional demand has become a consensus. A reasonable road network inflow control is essential to prevent the occ..."2021-02-01T21:21:32Z<p>Created page with " == Abstract == The connection between traffic congestion and regional demand has become a consensus. A reasonable road network inflow control is essential to prevent the occ..."</p>
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== Abstract ==<br />
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The connection between traffic congestion and regional demand has become a consensus. A reasonable road network inflow control is essential to prevent the occurrence of congestion. With a consideration of deployment of detectors, an improved macroscopic fundamental diagram-based traffic volume dynamic control method via the feedback control is proposed in this study. Based on OD distribution of trips and connectivity of nodes, a novel method is adopted to identify the key nodes, on which the detectors are laid. And Artificial Neural Network is adopted to predict traffic volume of those sections without detectors. As a case study, the proposed methodology is applied to the regional Road network which is located in downtown area of Nanning, China. Adequate survey and analysis are carried out under current road traffic conditions via simulation study. It is proved that the regional traffic volume dynamic control can ensure steady and orderly regional traffic flow, and enhance the mobility in a saturated traffic conditions.<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://dx.doi.org/10.18293/seke2016-038 http://dx.doi.org/10.18293/seke2016-038]<br />
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* [https://doi.org/10.18293/seke2016-038 https://doi.org/10.18293/seke2016-038]<br />
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* [http://ksiresearchorg.ipage.com/seke/seke16paper/seke16paper_38.pdf http://ksiresearchorg.ipage.com/seke/seke16paper/seke16paper_38.pdf],<br />
: [https://dblp.uni-trier.de/db/conf/seke/seke2016.html#DuWJX16 https://dblp.uni-trier.de/db/conf/seke/seke2016.html#DuWJX16],<br />
: [https://academic.microsoft.com/#/detail/2518451408 https://academic.microsoft.com/#/detail/2518451408]</div>Scipediacontent