TY - GEN
T1 - Analysis of network-wide impacts of behavioral response curves for evacuation conditions
AU - Ozbay, Kaan
AU - Yazici, M. Anil
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/40449121319
U2 - 10.1109/itsc.2006.1706735
DO - 10.1109/itsc.2006.1706735
M3 - Conference contribution
AN - SCOPUS:40449121319
SN - 1424400945
SN - 9781424400942
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 157
EP - 162
BT - Proceedings of ITSC 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE Intelligent Transportation Systems Conference, ITSC 2006
Y2 - 17 September 2006 through 20 September 2006
ER -