BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Embedding autonomy in Intelligent Transport Systems
DTSTART:20170428T121500
DTEND:20170428T131500
DTSTAMP:20260503T112506Z
UID:79fe6ef1f5e4b3e0eddf900c2ef6743f28e382479bde49f32ed252fb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr Elias B. Kosmatopoulos\, Department of Electrical and
  Computer Engineering\, Democritus University of Thrace\, Santhi\, Greece\
 nThe recent very impressive advances in cooperative systems\, the Internet
  of Things (IoT)\, sensor technologies and Data Analytics for Intelligent 
 Transport Systems (ITS)\, gave rise to a new generation of tools and syste
 ms for optimizing the situation awareness of the traffic/transport operato
 r as well as of the traffic/transport user (driver\, passenger). However\,
  optimizing the situation awareness of traffic/transport operations is by 
 no means enough for the operator or the user to take the optimal decisions
  regarding the ITS operation: the complexity and scale of the different op
 erations involved\, renders the problem of taking optimal - or\, at least 
 efficient - decisions a quite difficult one. This is probably the main rea
 son the efficient operation of ITS\, requires a quite tedious and costly e
 ffort for designing and tuning its decision-making mechanisms. Moreover\, 
 as the ITS is a "living system" such a tedious and costly effort is not on
 ly required during the initial deployment of the system but during its lif
 etime. Urban and motorway traffic control systems\, Transport Management S
 ystems (TMS) for public transport systems and TMSs for large-scale railway
 \, airport and seaport operations are all examples of ITS where such a ted
 ious and costly effort is required during the system deployment and during
  its lifetime.\nWe have recently introduced and extensively test a new app
 roach towards overcoming the above-mentioned problem. Our proposed approac
 h concerns embedding autonomy within the ITS which neglects the need for t
 edious and costly manual effort. Extensive - both simulation-based and rea
 l-life -tests demonstrated that such an appproach can lead to substantial 
 improvements in the ITS operation while leading to minimum-possible deploy
 ment and operational costs.  The aforementioned tests concerned many diff
 erent ITS from conventional urban and motorway control systems to cooperat
 ive and fully autonomous vehicles. During this talk\, we will describe the
  methodology used for embedding autonomy\, the results achieved as well as
  issues raised and need to be addressed.\n\nBio : Elias B. Kosmatopoulos i
 s a Professor with the Department of Electrical and Computer Engineering\,
  Democritus University of Thrace\, Xanthi\, Greece. Previously\, he was a 
 faculty member of Technical University of Crete\, Greece and University of
  Southern California\, USA. He has been leading many research projects fun
 ded by the European Union with a total budget of about 10 Million Euros. P
 rof. Elias Kosmatopoulos\, established on 2009 the ConvCao researh group\,
  which focuses on the development of intelligent\, rapidly-deployable and 
 self-adaptable IoT and CyberPhysical systems and their application to larg
 e-scale real-life systems including intelligent traffic systems\, energy e
 fficient systems\, robotic swarms and teams of cooperating humans and robo
 ts. The results\, tools and products of the ConvCao group have been succes
 sfully implemented in a variety of real-life systems including: large-scal
 e traffic control systems where they have led to improvements (in terms of
  fuel consumption) of more than 50%\; large-scale buildings and blocks of 
 buildings where they have led to improvements (in terms of energy bills) i
 n the range of 20%-50%\; teams (swarms) of aerial and underwater robots wh
 ere they have led to improvements (in terms of speed\, accuracy and cost o
 f operation) of 100% and more.
LOCATION:GCB330 http://plan.epfl.ch/?lang=fr&room=GCB330
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR