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SUMMARY:Defining the concept of partial observability in network sensor lo
 cation problems 
DTSTART:20131030T121500
DTEND:20131030T131500
DTSTAMP:20260511T072937Z
UID:550140df30d5018a8d2c45976a85f975e543ad7b3b3221b90904ecdc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Francesco Viti\nThe quality of information available on 
 a network is crucial for different transportation planning and management 
 applications. The problem of where to strategically obtain this informatio
 n has long tradition\, and normally can be subdivided into observability p
 roblems\, focusing on the topological properties of the network\, and flow
 -estimation problems\, where (prior) information of traffic states\, and/o
 r the specification of which type of application is making use of the sens
 or data\, is needed. This talk provides a broad view of the two categories
 \, and focuses on the development of a new methodology and an intuitive me
 tric for assessing the information quality of a set of sensors in a networ
 k in case of partial observability\, i.e. when not all sensors characteriz
 ing full information coverage solutions are available. This become very us
 eful if one considers that even in small sized networks the solution for f
 ull observability requires an exceedingly large amount of sensors. We show
  the natural interpretation of this new methodology both on toy networks a
 nd on a real-sized network\, to show how the method performs and selects t
 he most informative links where to install the sensors. Analysis of partia
 l observability solutions shows that the local search algorithm succeeds i
 n finding the links that contain the largest deal of information in a netw
 ork\, and to classify families of full observability solutions.\nBio: Prof
 . Francesco Viti (UL) is Associate Professor and holds the chair of the Tr
 ansportation Engineering Lab at the Faculty of Science and Technology of t
 he University of Luxembourg. His research covers a broad range of topics f
 rom travel behavior to multimodal network modeling and advanced data colle
 ction techniques\, carried on at both the University of Luxembourg and at 
 the Katholieke Universiteit Leuven. He teaches Traffic Planning and Manage
 ment\, Transport and Mobility and Infrastructure Design at the Bachelor of
  Engineering and the at Masters of Energy and Environment and Civil Engine
 ering\, and Supply Chain Management at the Master of Mechanical Engineerin
 g and as guest lecturer at the Master in Traffic\, Logistics and ITS at th
 e Katholieke Universiteit Leuven. He also acts as Expert for the European 
 Commission and as advisor for various EU-funded projects. He has over 100 
 scientific publications with about 30 articles in journals with Impact Fac
 tor.
LOCATION:GC B331
STATUS:CONFIRMED
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