Analysis of network-wide impacts of behavioral response curves for evacuation conditions

Kaan Ozbay, M. Anil Yazici

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

Abstract

Demand generation and network loading models under evacuation conditions are crucial yet challenging components of evacuation studies. This study aims to assess network-wide impacts of behavioral response curves, which are the most popular evacuation demand generation models in the literature. System Optimal Dynamic Traffic Assignment (SO-DTA) formulation originally proposed by Ziliaskopoulos [23] is used to model a simplified version of the Cape May County network in New Jersey. This multiple origin-single destination SO-DTA case study model is then studied under different demand generation conditions simulated through the use of various behavioral response curves (S-Curves). The results show that the choice of the demand curve changes some important evacuation planning parameters such as clearance times and average delays. Thus it is shown that choice of response curve cannot be stated as just an assumption, but needs to be well calibrated to ensure its validity in terms of representing demand conditions in the study region.

Original languageEnglish (US)
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-162
Number of pages6
ISBN (Print)1424400945, 9781424400942
DOIs
StatePublished - 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CountryCanada
CityToronto, ON
Period9/17/069/20/06

ASJC Scopus subject areas

  • Engineering(all)

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