Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network

Tarana Bipasha, Jose Azucena, Basem Alkhaleel, Haitao Liao, Heather Nachtmann

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

1 Scopus citations

Abstract

The inland waterways in the United States (U.S.) are used to transport approximately 20% of America's coal, 22% of U.S. petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data about natural extreme events affecting inland waterways are collected and used to predict possible occurrences of such events in the future using a spatio-temporal statistical model. We also investigate the waterways disruptions effect on interconnected transportation systems using a simulation tool built on a statistical model. The developed methods are centered on inland waterways but can be used broadly for other local, regional and national infrastructures. A case study based on the Mississippi River and the McClellan-Kerr Arkansas River Navigation System (MKARNS) is provided to illustrate the use of the simulation tool in interdependence modeling and decision making for the operation of a multimodal transportation network.

Original languageEnglish (US)
Title of host publication2019 Winter Simulation Conference, WSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1390-1401
Number of pages12
ISBN (Electronic)9781728132839
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States
Duration: Dec 8 2019Dec 11 2019

Publication series

NameProceedings - Winter Simulation Conference
Volume2019-December
ISSN (Print)0891-7736

Conference

Conference2019 Winter Simulation Conference, WSC 2019
Country/TerritoryUnited States
CityNational Harbor
Period12/8/1912/11/19

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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