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DTSTART:20240310T030000
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DTSTART:20241103T010000
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DTSTAMP:20240615T110117Z
UID:F2386D1F-B0D0-4B44-BFA9-CAA1BB7E4B48
DTSTART;TZID=America/New_York:20240612T100000
DTEND;TZID=America/New_York:20240612T110000
DESCRIPTION:Fluid-like models\, such as the Lighthill-Whitham-Richards (LWR
 ) model and their discretizations like Daganzo’s Cell Transmission Model
  (CTM)\, have proven successful in modeling traffic networks. In general\,
  these models are not linear\; they employ discontinuous dynamics or nonli
 near terms to describe phenomena like shock waves and phantom jams. Given 
 the complexity of the dynamics\, it is not surprising that the stability p
 roperties of these models are not yet well characterized. Recent results h
 ave shown the existence of a unique equilibrium in the free flow regime fo
 r certain classes of networks modeled by the CTM\; however\, these results
  restrict inflows to the system to be bounded or constant. Further\, it is
  of interest to understand the system behavior in congested regimes since 
 links in various practical networks are often congested.\n\nSpeaker(s): Dr
 . Vijay Gupta\n\nVirtual: https://events.vtools.ieee.org/m/419622
LOCATION:Virtual: https://events.vtools.ieee.org/m/419622
ORGANIZER:jesse.mahn@outlook.com
SEQUENCE:20
SUMMARY:Congestion in Large-Scale Transportation Networks: Analysis and Con
 trol
URL;VALUE=URI:https://events.vtools.ieee.org/m/419622
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 11.0pt\; line-heig
 ht: 107%\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-ascii-theme-font: minor-
 latin\; mso-fareast-font-family: Aptos\; mso-fareast-theme-font: minor-lat
 in\; mso-hansi-theme-font: minor-latin\; mso-bidi-font-family: &#39;Times New 
 Roman&#39;\; mso-bidi-theme-font: minor-bidi\; mso-ansi-language: EN-US\; mso-
 fareast-language: EN-US\; mso-bidi-language: AR-SA\;&quot;&gt;Fluid-like models\, 
 such as the Lighthill-Whitham-Richards (LWR) model and their discretizatio
 ns like Daganzo&amp;rsquo\;s Cell Transmission Model (CTM)\, have proven succe
 ssful in modeling traffic networks. In general\, these models are not line
 ar\; they employ discontinuous dynamics or nonlinear terms to describe phe
 nomena like shock waves and phantom jams. Given the complexity of the dyna
 mics\, it is not surprising that the stability properties of these models 
 are not yet well characterized. Recent results have shown the existence of
  a unique equilibrium in the free flow regime for certain classes of netwo
 rks modeled by the CTM\; however\, these results restrict inflows to the s
 ystem to be bounded or constant. Further\, it is of interest to understand
  the system behavior in congested regimes since links in various practical
  networks are often congested.&lt;/span&gt;&lt;/p&gt;
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