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SUMMARY:A Unified Framework for Evaluating Microscopic Pedestrian Simulati
 on Models
DTSTART:20160311T121500
DTEND:20160311T131500
DTSTAMP:20260407T020640Z
UID:9a07b6d319a06210a29918176efda6d7e90e05069b01883e1a140f1d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Stefan Seer\, Scientist\, AIT Austrian Institute of Technol
 ogy\, Vienna\, Austria\nMicroscopic simulation models are used in many app
 lications for predicting pedestrian flows with high granularity. Current s
 imulators do not allow for easy and quick switching between models. Moreov
 er\, reliable human movement data is still sparse\, which is a prerequisit
 e for model calibration and validation. These shortcomings inhibit to eval
 uate the capabilities of different models.\nThis talk presents a unified f
 ramework for the structured investigation on strengths and weaknesses of m
 icroscopic pedestrian simulation models. The empirical baseline is a highl
 y accurate benchmark data set measured under real life conditions in a bid
 irectional corridor with a novel data collection approach using the Micros
 oft Kinect. The proposed simulation framework is built on a scalable and f
 lexible system architecture to easily integrate different models. The resu
 lts highlight individual capabilities of seven different modeling approach
 es to represent microscopic and macroscopic characteristics of human movem
 ent behavior.\nBio : Dr. Stefan Seer is leading the “Dynamic Crowd Solut
 ions” research group at the AIT Austrian Institute of Technology in Vien
 na. He was a visiting researcher with the SENSEable City Lab at the Massac
 husetts Institute of Technology. He is the coordinator of the research col
 laboration between the AIT and the MIT\, where he currently leads a projec
 t on “Persuasive Urban Mobility” together with the MIT Media Lab and a
  project on “Perception Based Modeling” together with the MIT SENSEabl
 e City Lab. He was awarded the “National Award for Traffic 2008” by th
 e Austrian Ministry for Transport\, Innovation and Technology in the categ
 ory “Logistic Traffic Solutions at Major Events” for an innovative com
 puter-aided crowd control system to optimize pedestrian flows in public tr
 ansport infrastructures.\n He has specialized for more than 10 years in t
 he development of models and algorithms for pedestrian flow simulation als
 o including technologies to collect and analyze data on crowd behavior in 
 the context of urban transportation. He has a Master's Degree in Electroni
 cs Engineering and holds a Doctoral Degree in Computer Science from Vienna
  University of Technology
LOCATION:GC B3 30 http://plan.epfl.ch/?lang=fr&room=GCB330
STATUS:CONFIRMED
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