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        Autonome Shuttlebusse im ÖPNV

        Analysen und Bewertungen zum Fallbeispiel Bad Birnbach aus technischer, gesellschaftlicher und planerischer Sicht

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        Contributor(s)
        Riener, Andreas (editor)
        Appel, Alexandra (editor)
        Dorner, Wolfgang (editor)
        Huber, Thomas (editor)
        Kolb, Jan Christopher (editor)
        Wagner, Harry (editor)
        Language
        German
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        Abstract
        Automatisiertes Fahren wird aktuell auf allen Ebenen diskutiert. Dieses Open Access Buch greift das Thema aus Sicht des ÖPNV auf und stellt Chancen und Risiken des Einsatzes automatisierter Shuttlebusse im Nahverkehr dar. Am Beispiel Bad Birnbach/Niederbayern wird gezeigt, welche Herausforderungen bei der Einführung eines solchen Services zu erwarten sind und wie diese gelöst werden können. Dabei fokussiert sich das Buch auf die Vermittlung von im Feld erhobenen Daten, z.B. zu technischen Schwierigkeiten, Erfahrungsberichten von Anwohnern und Gästen, Akzeptanz in der Bevölkerung, infrastrukturellen Anforderungen, etc. Konkrete Handlungsempfehlungen für Städteplaner, ÖPNV-Betreiber/-Strategen oder Kommunen, die eine Einführung automatisierter Busse in Erwägung ziehen, runden das Werk ab.
        URI
        http://library.oapen.org/handle/20.500.12657/23288
        Keywords
        Engineering; Automotive engineering; Transportation engineering; Traffic engineering
        DOI
        10.1007/978-3-662-59406-3
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Berlin, Heidelberg, 2020
        Classification
        Highway and traffic engineering
        Automotive technology and trades
        Pages
        206
        Rights
        https://creativecommons.org/licenses/by/4.0
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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