Applying Topological Data Analysis to Logistics Systems Analysis

Details

• Creators:
  Carlsson, John G
• Corporate Creators:
  University of Southern California ; National Center for Sustainable Transportation (NCST) ; METRANS Transportation Center (Calif.)
• 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:
  • Topology
  • Data analysis
  • Freight transportation
  • Logistics
  • Systems analysis
  • Topological data analysis
• Publication/ Report Number:
  NCST-USC-RR-24-12
• DOI:
  https://doi.org/10.7922/G20C4T4B
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Research Report (October 2022 – September 2023)
• Corporate Publisher:
  National Center for Sustainable Transportation (NCST) (UTC)
• Abstract:
  The purpose of this project is to apply computational tools from topological data analysis (TDA) to study logistical systems such as freight networks. TDA is a relatively nascent research area that allows one to describe geometric properties of a data set, such as connectivity, existence of holes, or clustering, in a way that imposes minimal assumptions on parametric structures like coordinate systems or forms of probability distributions. In recent years, TDA has been successfully applied to many different scientific domains, such as aviation, path planning, and time series analysis. To the best of our knowledge, this project will be the first to apply TDA to the logistics domain.
• Format:
  PDF
• Funding:
  69A3551747114
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/76519/dot_76519_DS1.pdf
• File Type:
  [PDF - 1.08 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:312ea2606830d34f14b7f4f497bf22d4df984f3e0d62f24c2dbcaa62780918aba3929730b06d5ce778a2413c2cbd4387856dba5f49a6025955200fab047245c9