Validation of a Pedestrian Simulation Tool Using the NIST Stairwell Evacuation Data
Author(s) -
Michelle L. Isenhour,
Rainald Löhner
Publication year - 2014
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2014.09.082
Subject(s) - nist , parametric statistics , pedestrian , stairs , data set , computer science , data extraction , set (abstract data type) , experimental data , simulation , engineering , transport engineering , statistics , civil engineering , mathematics , artificial intelligence , medline , natural language processing , law , political science , programming language
Researchers at the United States National Institute of Standards and Technology (NIST) collected occupant egress data in the stairwells of several high-rise buildings for potential use in quantitative and qualitative validation of evacuation simulation tools (Kuligowski and Peacock (2010)). We found this data suitable for establishing occupant initial locations, pre-evacuation time distributions, and other parametric inputs for our simulation code (PEDFLOW). With this data set, we were able to validate several core behavioral components of PEDFLOW by directly comparing actual versus predicted values for occupant speed on stairs and building total evacuation times. This paper summarizes our work on the stairwell data sets, highlighting the methodology behind the extraction of values for the parametric inputs, and demonstrating the results obtained for one specific 10-story high-rise building data-set
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