A 3D Indoor Pedestrian Simulator Using an Enhanced Floor Field Model

Chulmin Jun, Hyeyoung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many pedestrian simulation models for micro-scale spaces as building indoor areas have been proposed for the last decade and two models - social force model and floor field model - are getting attention. Among these, the CAbased floor field model is viewed more favorable for computer simulations than computationally complex social force model. However, previous floor fieldbased models have limitations in capturing the differences in dynamic values of different agents. In this study, we improved the floor field model in order for an agent to be able to exclude the influences of its own dynamic values by changing the data structure, and, also modified the initial dynamic value problem in order to fit more realistic environment. As the simulation data structure, we also proposed using a DBMS-based 3D modeling approach. In the simulations, we used real 3D building data stored in a spatial DBMS considering future integration with indoor localization sensors and real time applications. We illustrated the data construction processes and simulations using the proposed enhanced algorithms and DBMS approach.

Original languageEnglish
Title of host publicationAgents and Artificial Intelligence - Second International Conference, ICAART 2010, Revised Selected Papers
EditorsJoaquim Filipe, Ana Fred, Bernadette Sharp
Pages133-146
Number of pages14
DOIs
StatePublished - 2011
Event2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 - Valencia, Spain
Duration: 22 Jan 201024 Jan 2010

Publication series

NameCommunications in Computer and Information Science
Volume129
ISSN (Print)1865-0929

Conference

Conference2nd International Conference on Agents and Artificial Intelligence, ICAART 2010
Country/TerritorySpain
CityValencia
Period22/01/1024/01/10

Keywords

  • 3D model
  • Floor field model
  • Pedestrian simulation
  • Spatial DBMS

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