A Hyperbolic Transport Model for Passenger Flow on Tram Networks

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This preprint develops a mathematical modeling framework for passenger flow on tram networks using a hyperbolic partial differential equation for transport coupled with stochastic processes that represent passenger boarding. It studies solutions in a measure-valued sense and extends the framework with uncertainties such as delays and service interruptions, using a numerical study to examine system behavior under these disruptions. Robustness is assessed via risk measures, but the work is explicitly a preprint that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract We introduce a modeling framework for an urban tram network based on a hyperbolicpartial differential equation describing the transport of passengers along the network,coupled with a family of stochastic processes representing passenger boarding. Solutionsare considered in a measure-valued sense. The system is further extended and subjectedto uncertainties such as delays and service interruptions through a numerical study. Itsrobustness is assessed using appropriate risk measures. AMS Classification. 90B20, 65M06, 60K30
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Solutionsare considered in a measure-valued sense. The system is further extended and subjectedto uncertainties such as delays and service interruptions through a numerical study. Itsrobustness is assessed using appropriate risk measures. AMS Classification. 90B20, 65M06, 60K30 Hyperbolic transport equation on networks passenger flow modeling measure-valued solutions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 29 Apr, 2026 Reviewers agreed at journal 15 Apr, 2026 Reviewers invited by journal 09 Mar, 2026 Editor assigned by journal 04 Mar, 2026 Submission checks completed at journal 03 Mar, 2026 First submitted to journal 27 Feb, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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