A simulation modeling framework for community-wide evacuation planning
ABSTRACT Simulation is a useful and cost effective tool for evacuation planning. However, extensive data collection and preparation
is necessary to build a traffic evacuation simulation model that can closely replicate real life conditions. In a community-wide
evacuation process during an emergency, which covers hundreds of miles, input data related to simulation of traffic evacuations
include (1) Traffic and roadway geometry, (2) Geographic distribution of the affected area, (3) Travel demand modeling, and
(4) Behavioral analysis of potential evacuees. This paper presents a framework for preparing simulation inputs and ultimately
developing a simulation model. Brief excerpts from a case study on the evacuation of Charleston, South Carolina are also included.
An accurate input analysis is very important to the success of a simulation project since without correct input data, the
output of a simulation cannot contribute to more effective decision making. This paper presents a simple and efficient methodology
for data preparation regarding a large scale city evacuation simulation involving long distance trips.
KeywordsLong distance evacuation–Arrival rate–Data input–Simulation–Evacuation–At-risk population
Conference Proceeding: Analysis of Network-Wide Impacts of Behavioral Response Curves for Evacuation Conditions[show abstract] [hide abstract]
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 (2000) 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 regionIntelligent Transportation Systems Conference, 2006. ITSC '06. IEEE; 10/2006
- Proceedings of the Institution of Civil Engineers. 01/1952; 1(2):325-362.