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SUMMARY:CESS seminar: Urban Trajectory Analytics: Emerging Trends and AI-b
 ased Applications
DTSTART:20221103T121500
DTEND:20221103T130000
DTSTAMP:20260407T145524Z
UID:a578c2ab592c6d4491fc4e24a67858c715968e577fe1715b7e09f9d0
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Hwasoo Yeo\, Korea Advanced Institute of Science and Te
 chnology\nAbstract\nRecent progress in sensing and data processing techniq
 ues has enabled full-scale trajectory data acquisition\, which will provid
 e new perspectives to transportation engineers. Urban trajectory analytics
  provide rich and new information which have not been provided by the trad
 itional sensors\, and can deal with diverse problems from microscopic leve
 l such as pedestrian-vehicle risk analysis to macroscopic dynamic route ch
 oice predictions. This talk will introduce the concept of urban trajector
 y analytics\, data acquisition\, data analysis and processing trends and 
 will provide overview on the AI-based applications including urban trajec
 tory prediction and generation\, and area-based traffic signal control.  
  \n\nShort Bio \nProf. Hwasoo Yeo was born in Seoul\, South Korea\, in 1
 972. He received the B.S. degree in civil engineering from Seoul National 
 University\, Seoul\, in 1996\, and the M.S. and Ph.D. degrees in civil and
  environmental engineering from the University of California at Berkeley\,
  Berkeley\, CA\, USA\, in 2008. He is currently a Professor with the Depar
 tment of Civil and Environmental Engineering\, KAIST. His current research
  interests include AI mobility\, traffic flow and traffic operations\, and
  intelligent transportation systems.
LOCATION:GC B3 31 https://plan.epfl.ch/?room==GC%20B3%2031
STATUS:CONFIRMED
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