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Title: Development of a Demand Uncertainty-Based Model to Estimate Network Reliability
Accession Number: 01363213
Record Type: Component
Abstract: This paper provides a discussion on network reliability, which is a subset of resilience. Past research shows how better understanding reliability and identifying ways to improve it can help a system’s response to a disaster, both in the annealing and recovery stages of the four-step resiliency cycle. This study seeks to develop a reliability model that also considers uncertainty. The model estimates reliability for three performance functions (travel time, flow, and consumer surplus), and accounts for uncertainties in both reductions in link-capacity and consumer demand in response to a perturbation/disaster. The model is coded in MATLAB and a numerical example is shown, complete with sensitivity and uncertainty analyses. The results show that this model provides accurate predictions of the expected function of the system. Particularly in comparison to those of the deterministic scenarios, the scenarios incorporating uncertainty yield far superior results.
Supplemental Notes: This paper was sponsored by TRB committee ADB30 Transportation Network Modeling
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-3436
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Sobh, Ali SoltaniFishelson, JamesHeaslip, KevinEl Khoury, JohnPagination: 18p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-3436
Files: TRIS, TRB
Created Date: Feb 8 2012 5:16PM
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