Hochschule RheinMain PUBLIKATIONEN-REPOSITORIUM
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    421 research outputs found

    Visual Analytics in Mobility, Transportation and Logistics

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    Mobility, transportation and logistics are more and more influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behavior. These indicators will lead to massive changes in our daily live with regards to mobility, transportation and logistics. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics provides both, the analytical approaches by including machine learning approaches and interactive visualizations to enable such analytical tasks. In this paper the main indicators for Visual Analytics in the domain of mobility transportation and logistics are discussed and followed by exemplary case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobilityAccepted Versio

    Ergebnisse und Empfehlungen einer Studie aus Hessen

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    oai:hlbrm.pur.hebis.de:123456789/62Published Versio

    Visual Analytics Indicators for Mobility and Transportation

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    Visual Analytics enables a deep analysis of complex and multivariate data by applying machine learning methods and interactive visualization. These complex analyses lead to gain insights and knowledge for a variety of analytics tasks to enable the decision-making process. The enablement of decision-making processes is essential for managing and planning mobility and transportation. These are influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behavior. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics enable such analytical tasks. We introduce in this paper the main indicators for Visual Analytics for mobility and transportation that are e exemplary explained through two case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobility.Accepted Versio

    Perspektivenwechsel als Lehre aus der Corona-Krise

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    Digitalisierung des versicherungsbetriebswirtschaftlichen Risikomanagements

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    Grundlagen, Strategien, Instrumente und Controlling

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    BWL kann spannend sein

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    Robust Position/Force Control of Constrained Flexible Joint Robots with Constraint Uncertainties

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    Gefördert im Rahmen des Projekts DEALPublished Versio

    Underwriting Limits and Optimal Leverage in Commercial Real Estate

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    Jahresbericht 2019 der Fachgruppe Mobilitätsmanagement an der Hochschule RheinMain

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    Hochschule RheinMain PUBLIKATIONEN-REPOSITORIUM
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