Hybrid simulation to support interdependence modeling of a multimodal transportation network

José Azucena, Basem Alkhaleel, Haitao Liao, Heather Nachtmann

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The inland waterways in the United States (U.S.) transport approximately 20% of coal, 22% of petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data of extreme natural events affecting the U.S. inland waterways are collected and used to predict possible occurrences of such events using a spatio-temporal statistical model. A simulation tool incorporating this model is developed to investigate the impact of waterway disruptions on the interconnected multimodal transportation systems. A case study on the lower Mississippi River and the McClellan–Kerr Arkansas River Navigation System along with the related highways is provided to illustrate the use of the simulation tool for operation simulation and interdependence modeling of the multimodal transportation network. This tool provides a flexible means for quickly evaluating the performance of such Interdependent Critical Infrastructures (ICIs) and assisting in decision making.

Original languageEnglish (US)
Article number102237
JournalSimulation Modelling Practice and Theory
Volume107
DOIs
StatePublished - Feb 2021
Externally publishedYes

Keywords

  • Agent-based simulation
  • Inland waterways
  • Interdependence modeling
  • NetLogo
  • Spatio-temporal statistics

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Hybrid simulation to support interdependence modeling of a multimodal transportation network'. Together they form a unique fingerprint.

Cite this