Interactive Traffic Management for Highly Automated Vehicles

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAlkim, Tomen_US
dc.contributor.authorRoncoli, Claudioen_US
dc.contributor.authorGeissler, Torstenen_US
dc.contributor.authorKhastgir, Siddharthaen_US
dc.contributor.authorKulmala, Ristoen_US
dc.contributor.departmentDepartment of Built Environmenten
dc.contributor.groupauthorPlanning and Transportationen
dc.contributor.organizationMAP Traffic Managementen_US
dc.contributor.organizationFederal Highway Research Instituteen_US
dc.contributor.organizationUniversity of Warwicken_US
dc.contributor.organizationTraficon Ltden_US
dc.date.accessioned2023-08-01T06:17:49Z
dc.date.available2023-08-01T06:17:49Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2024-06-14en_US
dc.date.issued2023en_US
dc.description.abstractThis chapter summarizes part of the presentations and discussions that took place at the Automated Road Transportation Symposium 2022 (ARTS22) during the breakout session titled “Interactive Traffic Management for Highly Automated Vehicles”, complemented with further material and reflections by the authors. The chapter deals with traffic management in the presence of highly automated vehicles capable of driverless operation in specific Operational Design Domains (ODD). The aim is to present and discuss challenges related to the design and implementation of traffic management measures from multiple perspectives, covering the exchanged messages, the digitization of traffic codes and regulations, the impact on efficiency, and the human factors and reactions to traffic management measures. The potential to increase and optimize the performance of highly automated vehicles by providing external information will also be explored by introducing the concept of Distributed ODD attribute Value Awareness (DOVA).en
dc.description.versionNon peer revieweden
dc.format.extent9
dc.format.extent174-182
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAlkim, T, Roncoli, C, Geissler, T, Khastgir, S & Kulmala, R 2023, Interactive Traffic Management for Highly Automated Vehicles . in Road Vehicle Automation 10. ARTS Symposium 2022 . Lecture notes in mobility, Springer, pp. 174-182 . https://doi.org/10.1007/978-3-031-34757-3_14en
dc.identifier.doi10.1007/978-3-031-34757-3_14en_US
dc.identifier.isbn978-3-031-34756-6
dc.identifier.isbn978-3-031-34757-3
dc.identifier.issn2196-5544
dc.identifier.otherPURE UUID: 3cdf0003-3b57-4d11-8c92-deb6b3367a3een_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/3cdf0003-3b57-4d11-8c92-deb6b3367a3een_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85162245456&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/114777832/TRB_ARTS22_Traffic_Management_final.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/122174
dc.identifier.urnURN:NBN:fi:aalto-202308014535
dc.language.isoenen
dc.relation.ispartofseriesRoad Vehicle Automation 10. ARTS Symposium 2022en
dc.relation.ispartofseriesLecture notes in mobilityen
dc.rightsopenAccessen
dc.subject.keywordautomated vehiclesen_US
dc.subject.keywordconnected vehiclesen_US
dc.subject.keywordoperational Design Domainen_US
dc.subject.keywordtraffic managementen_US
dc.titleInteractive Traffic Management for Highly Automated Vehiclesen
dc.typeA3 Kirjan tai muun kokoomateoksen osafi

Files