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Title:

Development of a Multimodal Transportation Educational Virtual Appliance (MTEVA) to Study Congestion During Extreme Tropical Events

Accession Number:

01367811

Record Type:

Component

Abstract:

A unique, self-contained software environment, the Multimodal Transportation Educational Virtual Appliance (MTEVA), has been developed to assist in coastal science, transportation, and cyberinfrastructure education, research and outreach. It is based on virtual machines which encapsulate the necessary models, pre- / post-processing routines and interfaces to enable users to perform simulations using an integrated inundation and transportation modeling system. By coupling models of coastal storm surge / inundation and the related transportation network response due to disconnected network links (e.g. flooded roads) in a simple-to-use infrastructure, users can focus on science instead of the complexities of configuring and performing simulations. In addition to being able to perform simulations locally, the MTEVA automatically connects to the “cloud”, enabling the user to perform an ensemble of scenarios via remote computing resources as well as on a local resource pool. This initial application of the MTEVA combines the CH3D Storm Surge Modeling System (CH3D-SSMS) with a transportation network model which supports lane reversal and applies this coupled modeling system to study the system’s response within an idealized domain being impacted by a hurricane. To assess the potential effectiveness of using the MTEVA for research and education, a preliminary user assessment was conducted with participation by graduate students. Survey results showed that the MTEVA is effective at helping graduate students understand key science topics and is viewed by them as a useful tool for undergraduate and graduate students.

Monograph Accession #:

01362476

Report/Paper Numbers:

12-1119

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Davis, Justin R
Zheng, Qipeng P
Paramygin, Vladimir A
Tutak, Bilge
Vogiatzis, Chrysafis
Sheng, Y. Peter
Pardalos, Panos M
Figueiredo, Renato J

Pagination:

19p

Publication Date:

2012

Conference:

Transportation Research Board 91st Annual Meeting

Location: Washington DC, United States
Date: 2012-1-22 to 2012-1-26
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Education and Training; Transportation (General); I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2012 Paper #12-1119

Files:

TRIS, TRB

Created Date:

Feb 8 2012 4:59PM