Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software

[2510.05143] Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Physics > Physics and Society arXiv:2510.05143 (physics) [Submitted on 1 Oct 2025 ( v1 ), last revised 15 Aug 2026 (this version, v2)] Title: Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software Authors: Carlson Moses Büth , Massimiliano Zanin View a PDF of the paper titled Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software, by Carlson Moses B\"uth and Massimiliano Zanin View PDF HTML (experimental) Abstract: Within the endeavour of modelling and understanding the propagation of delays in transportation networks, an approach that has attracted increasing interest in the last decade is the creation of functional network representations. These graphs map elements of interest (e.g. airports or stations) as nodes, and derive pairwise propagation patterns from their dynamics through correlation and causality tests. In spite of multiple notable results, this approach still lacks a coherent framework, with decisions related to many fundamental steps being left to the judgement of the researcher. We here provide an introduction to the theory behind functional networks for transportation systems, detailing the main steps and the associated pitfalls. We further introduce a Python package, delaynet, designed to support the researcher in the reconstruction and analysis of such networks. We finally present an analysis of the propagation of delays in the Swiss train system; and discuss future research steps. Comments: 39 pages, 21 figures, 6 tables, for documentation, see this https URL Subjects: Physics and Society (physics.soc-ph) ; Information Theory (cs.IT); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an) Cite as: arXiv:2510.05143 [physics.soc-ph] (or arXiv:2510.05143v2 [physics.soc-ph] for this version) https://doi.org/10.48550/arXiv.2510.05143 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1016/j.trip.2026.102187 Focus to learn more DOI(s) linking to related resources Submission history From: Carlson Moses Büth [ view email ] [v1] Wed, 1 Oct 2025 22:28:26 UTC (6,169 KB) [v2] Sat, 15 Aug 2026 13:48:23 UTC (6,406 KB) Full-text links: Access Paper: View a PDF of the paper titled Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software, by Carlson Moses B\"uth and Massimiliano Zanin View PDF HTML (experimental) TeX Source view license Current browse context: physics.soc-ph < prev | next > new | recent | 2025-10 Change to browse by: cs cs.IT math math.IT physics physics.comp-ph physics.data-an References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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