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SUMMARY:Smart Mobility: optimization and behavioral modeling
DTSTART:20170209T110000
DTEND:20170209T120000
DTSTAMP:20260501T053004Z
UID:f53fa028ce84b82a247c5a49f1b9d06ae0c8e53b4256e92e17014681
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Moshe Ben-Akiva\nEdmund K. Turner Professor of Civil and
  Environmental Engineering Director\, Intelligent Transportation Systems L
 ab Massachusetts Institute of Technology\n\nBio: Moshe Ben-Akiva is the Ed
 mund K. Turner Professor of Civil and Environmental Engineering and Direct
 or of the Intelligent Transportation Systems (ITS) Lab at the Massachusett
 s Institute of Technology (MIT) and at the Singapore-MIT Alliance for Rese
 arch and Technology. He holds a BSc degree in Civil Engineering from the T
 echnion and MSc and PhD degrees in Transportation Systems from MIT. He rec
 eived honorary degrees from the University of the Aegean\, the Universite 
 Lumiere Lyon\, the Stockholm Royal Institute of Technology\, and the Unive
 rsity of Antwerp.\n\nHis awards include the Lifetime Achievement Award of 
 the International Association for Travel Behavior Research\, the Jules Dup
 uit prize from the World Conference on Transport Research Society\, and th
 e Institute of Electrical and Electronics Engineers ITS Society Outstandin
 g Application Award for DynaMIT\, a simulation-based dynamic traffic assig
 nment. Ben-Akiva has coauthored two books\, including the textbook Discret
 e Choice Analysis\, and over 200 refereed papers. He has worked as a consu
 ltant in industries such as transportation\, energy\, telecommunications\,
  financial services and marketing.\nEffective Smart Mobility solutions inc
 orporate optimization and behavioral modeling techniques. Real-time optimi
 zation provides efficiency while advanced behavioral modeling enables the 
 design of personalized solutions. An app-based behavior laboratory\, Futur
 e Mobility Sensing\, and a computer simulation laboratory\, SimMobility\, 
 are the two platforms used to design and evaluate Smart Mobility solutions
 .\n\nFour solutions are presented:\n1. real-time toll optimization\n2. Aut
 onomous Mobility On-Demand \n3. Flexible Mobility On-Demand\n4. Tripod\, 
 a system of sustainable travel incentives with prediction\, optimization a
 nd personalization capabilities\n\nSimulation case studies demonstrate the
 ir potential benefits. The global long term effects on urban transportatio
 n of Smart Mobility\, vehicle and fuel technologies\, and energy and envir
 onmental policies are the subject of future research.
LOCATION:GC B1 10 https://plan.epfl.ch/theme/generalite_thm_v2?request_loc
 ale=en&room=gc%20b1%2010&domain=places&dim_floor=1&lang=en&dim_lang=en&tre
 e_groups=centres_nevralgiques%2Cacces%2Cmobilite_reduite%2Censeignemen
STATUS:CONFIRMED
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