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            Cooperatively Interacting Vehicles

            Methods and Effects of Automated Cooperation in Traffic

            Thumbnail
            Contributor(s)
            Stiller, Christoph (editor)
            Althoff, Matthias (editor)
            Burger, Christoph (editor)
            Deml, Barbara (editor)
            Eckstein, Lutz (editor)
            Flemisch, Frank (editor)
            Language
            English
            Show full item record
            Abstract
            This open access book explores the recent developments automated driving and Car2x-communications are opening up attractive opportunities future mobility. The DFG priority program “Cooperatively Interacting Automobiles” has focused on the scientific foundations for communication-based automated cooperativity in traffic. Communication among traffic participants allows for safe and convenient traffic that will emerge in swarm like flow. This book investigates requirements for a cooperative transport system, motion generation that is safe and effective and yields social acceptance by all road users, as well as appropriate system architectures and robust cooperative cognition. For many years, traffic will not be fully automated, but automated vehicles share their space with manually driven vehicles, two-wheelers, pedestrians, and others. Such a mixed traffic scenario exhibits numerous facets of potential cooperation. Automated vehicles must understand basic principles of human interaction in traffic situations. Methods for the anticipation of human movement as well as methods for generating behavior that can be anticipated by others are required. Explicit maneuver coordination among automated vehicles using Car2X-communications allows generation of safe trajectories within milliseconds, even in safety-critical situations, in which drivers are unable to communicate and react, whereas today's vehicles delete their information after passing through a situation, cooperatively interacting automobiles should aggregate their knowledge in a collective data and information base and make it available to subsequent traffic.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/195186
            Keywords
            automated vehicles; cooperative vehicles; environment perception; human-machine-interaction; car2X communication; motion planning; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
            DOI
            10.1007/978-3-031-60494-2
            ISBN
            9783031604942, 9783031604935
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2024
            Grantor
            • Karlsruhe Institute of Technology
            Imprint
            Springer International Publishing
            Pages
            608
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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