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Applying Topological Data Analysis to Logistics Systems Analysis

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  • Carlsson, John G

Abstract

The purpose of this project is to apply computational tools from topological data analysis (TDA) to study logistical systems suchas 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 the author's knowledge, this project will be the first to apply TDA to the logistics domain. View the NCST Project Webpage

Suggested Citation

  • Carlsson, John G, 2024. "Applying Topological Data Analysis to Logistics Systems Analysis," Institute of Transportation Studies, Working Paper Series qt7m0347nd, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt7m0347nd
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    References listed on IDEAS

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    1. Marian Gidea & Yuri Katz, 2017. "Topological Data Analysis of Financial Time Series: Landscapes of Crashes," Papers 1703.04385, arXiv.org, revised Apr 2017.
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    More about this item

    Keywords

    Engineering; Data analysis; Freight transportation; Logistics; Systems analysis; Topology;
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