Modeling Dynamic Behavior of Navigable Inland Waterways
The inland waterway freight system is a tremendous and underutilized asset within the United States (U.S.) transportation system, providing an economical and environmentally sound mode for moving cargo. However, the system is challenged with aging infrastructure and limited operations and maintenance budgets which can cause transportation delays and economic losses. The research team proposes to utilize their previously developed Maritime Transportation Simulator (MarTranS), which integrates agent-based modeling, discrete-event simulation, and system dynamics, to further explore the relationship between inland waterway transportation system components and regional economic impact factors. The team will also develop statistical models and decision support tools to provide expanded information about the system and its current and future behavior. This research is needed to provide new data analytics and knowledge that can guide future investment, operations, and maintenance decisions.
Language
- English
Project
- Status: Completed
- Funding: $233604
-
Contract Numbers:
69A3551747130
-
Sponsor Organizations:
Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC United States 20590Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Maritime Transportation Research and Education Center
University of Arkansas
Fayetteville, AR United States 72701 -
Performing Organizations:
University of Arkansas, Fayetteville
Department of Industrial Engineering
Fayetteville, AR United States 72701 -
Principal Investigators:
Nachtmann, Heather
Chimka, Justin
- Start Date: 20180813
- Expected Completion Date: 20240331
- Actual Completion Date: 20240331
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Decision support systems; Economic impacts; Inland waterways; Maintenance management; Simulation; Statistical analysis
- Subject Areas: Marine Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01681644
- Record Type: Research project
- Source Agency: Maritime Transportation Research and Education Center
- Contract Numbers: 69A3551747130
- Files: UTC, RIP
- Created Date: Sep 22 2018 2:19PM