BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Multi-level model predictive traffic control for sustainable mobil
 ity
DTSTART:20120301T121500
DTEND:20120301T133000
DTSTAMP:20260406T111853Z
UID:39d072c5ca74a6d1ef473689686ff1997dba2418959ebfb667cc40fa
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Bart De Schutter\nIn this presentation we will give an o
 verview of the work of done at the Delft Center for Systems and Control in
  the field of traffic management and control. We will in particular focus 
 on how model-based predictive control (MPC) can be used to obtain a balanc
 ed trade-off between reduction of total time spent\, emissions\, and fuel 
 consumption. To this aim we will discuss the macroscopic models we have be
 en developing for fuel consumption\, emissions\, and dispersion of emissio
 ns as well as the details of MPC for traffic. We will also discuss efficie
 nt implementation through the use of parametrized control laws. Finally\, 
 we present a multi-level control traffic management strategy based on MPC 
 with a focus on the area controllers in large-scale urban traffic networks
 \, where we use the macrosopic fundamental diagram developed by Gerolimini
 s and Daganzo in combination with mixed integer linear programming to obta
 in a tractable control approach.\n\nBio: Bart De Schutter is full professo
 r at the Delft Center for Systems and Control of Delft University of Techn
 ology in Delft\, The Netherlands. He received the PhD degree in Applied Sc
 iences (summa cum laude with congratulations of the examination jury) in 1
 996 at K.U.Leuven\, Belgium. Next\, he was a postdoctoral researcher at th
 e SISTA group of K.U.Leuven\, until he moved to Delft University of Techno
 logy in 1998 as assistant professor. In 2000 he became associate professor
  and in 2006 full professor in the field of hybrid control and intelligent
  transportation systems. He is associate editor of Automatica and of the I
 EEE Transactions on Intelligent Transportation Systems.  His current rese
 arch interests include control of intelligent transportation and infrastru
 cture networks\, hybrid systems control\, discrete-event systems\, multi-a
 gent systems\, and optimization.
LOCATION:GC C330 http://plan.epfl.ch/?room=GC%20C3%2030
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR