An integrated pedestrian behavior model based on extended decision field theory and social force model

Hui Xi, Young Jun Son, Seungho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

A novel pedestrian behavior model is proposed, which integrates 1) Extended Decision Field Theory (EDFT) for tactical level human decision-making, 2) Social Force model (SFM) to represent physical interactions and congestions among the people and the environment, and 3) dynamic planning algorithm involving AND/OR graphs. Furthermore, the Social Force model is enhanced with the vision of each individual, and both individual behaviors as well as group behaviors are considered. The proposed model is illustrated and demonstrated with a shopping mall scenario. Literature survey and observations have been conducted at the mall for data collection and partial validation of the proposed model. The constructed simulation using AnyLogic® software was utilized to conduct several experiments on performance of the mall and scalability of the proposed model.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 Winter Simulation Conference, WSC'10
Pages824-836
Number of pages13
DOIs
StatePublished - 2010
Event2010 43rd Winter Simulation Conference, WSC'10 - Baltimore, MD, United States
Duration: Dec 5 2010Dec 8 2010

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2010 43rd Winter Simulation Conference, WSC'10
Country/TerritoryUnited States
CityBaltimore, MD
Period12/5/1012/8/10

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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