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Visual Analytics in Mobility, Transportation and Logistics
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
oai:hlbrm.pur.hebis.de:123456789/62Published Versio
Visual Analytics Indicators for Mobility and Transportation
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
Robust Position/Force Control of Constrained Flexible Joint Robots with Constraint Uncertainties
Gefördert im Rahmen des Projekts DEALPublished Versio