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SUMMARY:Stochastic Approximations for the Macroscopic Fundamental Diagram 
 of Urban Networks
DTSTART:20141031T121500
DTEND:20141031T131500
DTSTAMP:20260406T185231Z
UID:4611c5b81c526d71f065d20f3e876d3dc7c74164c206de50f825e14d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr Jorge Laval\, Gerogia Tech\, Atlanta\, USA\nThis pres
 entation focuses on a theory for estimating the Macroscopic Fundamental Di
 agram (MFD) on inhomogeneous corridors and networks using probabilistic me
 thods. By exploiting a symmetry property of the stochastic MFD\, whereby i
 t exhibits identical probability distributions in free-flow and congestio
 n\, it is found that the network MFD depends mainly on two dimensionless p
 arameters: the mean block length to green ratio and the mean red to green 
 ratio. The theory is validated with an exact traffic simulation and with 
 the empirical data from the city of Yokohama. It is also shown that the ef
 fect of buses can be approximated with the proposed theory by accounting f
 or their effect in the red to green ratio parameter.\nBio : Jorge Laval is
  an Associate Professor at the School of Civil and Environmental Engineeri
 ng\, which he joined in 2006. After obtaining his B.S. in Civil and Indust
 rial Engineering from Universidad Catolica de Chile in 1995\, Dr. Laval wo
 rked as a transportation engineer for 5 years at the Chilean Ministry of P
 ublic Works in Santiago\, Chile. He received his Ph.D. in Civil Engineerin
 g from the University of California\, Berkeley in 2004. Prior to joining G
 eorgia Tech\, Dr. Laval held two consecutive one-year postdoctoral positio
 ns at the Institute of Transportation Studies at UC Berkeley\, and at the 
 French National Institute for Safety and Transportation Research (INRETS).
  Professor Laval's main research thrust is in the area of traffic flow the
 ory\, modeling and simulation\, focusing in understanding congestion in ur
 ban networks and how to manage it. He has made important contributions tow
 ards understanding  the capacity of freeways\, the connection between dri
 ver behavior and stop-and-go waves\, freeway ramp-metering strategies\, dy
 namic traffic assignment and congestion pricing.
LOCATION:GC C330 http://plan.epfl.ch/?lang=fr&room=GCC330
STATUS:CONFIRMED
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