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dc.contributor.authorVergeest, Joris
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-10-10T07:58:47Z
dc.date.available2017-10-10T07:58:47Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 91-94.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26382
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectsimulace toku dopravycs
dc.subjectmikroskopický řídící modelcs
dc.subjectzpětná vazbacs
dc.titleTraffic flow simulations based on microscopic modelsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedMicroscopic car-following models are widely used to generate traffic flow simulations. In some cases visualization on macroscopic scales (both spatial and temporal) are required to provide relevant feedback to researchers. Recent studies have indicated that the life time of highway traffic jams is severally influenced by temporary deviations of the driving style of individual motorists. The most influential parameters are the longitudinal acceleration and the headway distance produced by car drivers soon after leaving a congestion situation. To study the effects of acceleration profiles on the life times of congestions it is crucial to generate traffic flow simulations which can be viewed at highly varying spatial and temporal scales. The influence of adaptive cruise control (ACC), for example, is one of the factors that can be forecasted using traffic flow simulations.en
dc.subject.translatedtraffic flow simulationen
dc.subject.translatedmicroscopic driving modelen
dc.subject.translatedfeedbacken
dc.type.statusPeer-revieweden
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