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

Details

• Creators:
  Lee, EunSu ; Rahim-Taleqani, Ali
• Corporate Creators:
  New Jersey City University ; North Dakota State University. Department of Transportation and Logistics ; Mountain-Plains Consortium
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Agricultural products
  • Freight traffic
  • Grain
  • Logistics
  • Multi-agent systems
  • Supply chain management
  • Travel behavior
  • Travel demand
  • Travel patterns
• Publication/ Report Number:
  MPC 18-370
• Resource Type:
  Tech Report
• Geographical Coverage:
  North Dakota ; United States
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  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.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/62329/dot_62329_DS1.pdf
• File Type:
  [PDF - 1.16 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:c647221b826166ee54b5c9393bf5ba54640697161b32abef37a624b0a3670534