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SUMMARY:Who trigger green traffic light? - a robust and predictive urban t
 raffic control solution
DTSTART:20151002T121500
DTEND:20151002T131500
DTSTAMP:20260509T185102Z
UID:1b0a91700b83e77575af51ed809d92692c557e68766e56b08829d4e4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr Balazs Kulcsar\, Associate Professor\, chalmers Unive
 rsity of Technology\, Gothenburg\, Sweden\nThe aim of the presented resear
 ch is to elaborate a traffic-responsive optimal signal split algorithm tak
 ing traffic flow uncertainty into account. The traffic control objective i
 s to minimize the weighted link queue lengths within an urban network area
 . The control problem is formulated in a centralized rolling-horizon fashi
 on where unknown but bounded demand and queue uncertainty influences the p
 rediction. An efficient\, constrained minimax optimization is suggested to
  obtain the green time combination which minimizes the objective function 
 when worst case uncertainty appears. As an illustrative example\, a simula
 tion study is carried out to demonstrate the effectiveness and computation
 al feasibility of the robust predictive approach. By using real-world traf
 fic data and microscopic traffic simulator\, the proposed robust signal sp
 lit algorithm is analyzed and compared to well-tuned fixed-time signal tim
 ing and to nominal predictive solutions under different traffic conditions
 .\nBio : Balazs KULCSAR received the Msc in transportation engineering and
  the PhD in automatic control from Budapest University of Technology (BUTE
 )\, Hungary. He worked as a researcher for the Department of Control for T
 ransportation and Vehicle Systems\, BUTE and for the Aerospace Engineering
  and Mechanics Department at the University of Minnesota\, USA. After bein
 g a postdoctoral associate with Delft Center of Systems and Control\, Delf
 t University of Technology\, The Netherlands\, he became an assistant and 
 later on an associate professor with Automatic Control group at the Depart
 ment of Signals and Systems\, Chalmers University of Technology in Gothenb
 urg\, Sweden. His main research interest encompasses traffic flow modeling
  and control with an inclination to incident/failure diagnosis.
LOCATION:GC C3 30 http://plan.epfl.ch/?lang=en&room=GC+C330
STATUS:CONFIRMED
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