Application of a Multi-Agent System with the Large-Scale Agent-Based Model for Freight Demand Modeling

To support agricultural logistics and energy development, road and bridge infrastructure has been in North Dakota due to the recent oil boom and the long-term importance of the agricultural industry. With the advance of simulation and data mining, the agent-based model (ABM) has emerged as a solution. Agent-based modeling techniques reflect a high level of detail for travel patterns in a region or state. This research will review state-of-the-art ABM in transportation, determine an agent’s travel behavior in rural and small urban freight movement, design a multi-agent system, and investigate applicability of the agent’s travel behavior to statewide freight demand mode. This paper outlines an agent-based freight transportation model of the grain upstream supply chain for Cass County in North Dakota. The objective is to develop a model incorporating stochastic variables to capture the uncertainties each entity faces, and consequently the effects of variables and strategies on traffic flows. This model simulates a robust level of the decision-making process at a granular level to assess the impact of cargo policy at local, state, regional, and national scales.

• Record URL:
  https://www.ugpti.org/resources/reports/details.php?id=926
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/62329
• Summary URL:
  https://rosap.ntl.bts.gov/view/dot/68721
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  New Jersey City University

  School of Business
  Jersey City, NJ  United States 

  North Dakota State University, Fargo

  College of Business
  Fargo, ND  United States  58105

  Upper Great Plains Transportation Institute

  North Dakota State University
  1320 Albrecht Boulevard
  Fargo, ND  United States  581052

  Mountain Plains Consortium

  Civil & Environmental Engineering
  122 S. Central Campus Drive
  Salt Lake City, UT  United States  84112-0561

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Lee, EunSu
  • Rahim-Taleqani, Ali
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 42p

Subject/Index Terms

• TRT Terms: Agricultural products; Freight traffic; Grain; Logistics; Multi-agent systems; Supply chain management; Travel behavior; Travel demand; Travel patterns
• Geographic Terms: North Dakota
• Subject Areas: Freight Transportation; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01692016
• Record Type: Publication
• Report/Paper Numbers: MPC-18-370
• Contract Numbers: MPC-458
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Jan 31 2019 5:17PM