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dc.contributor.authorFurda, Andreien_US
dc.contributor.authorVlacic, Ljuboen_US
dc.contributor.editorChristoph Stilleren_US
dc.date.accessioned2017-05-03T12:07:42Z
dc.date.available2017-05-03T12:07:42Z
dc.date.issued2011en_US
dc.date.modified2012-02-10T02:49:46Z
dc.identifier.issn19391390en_US
dc.identifier.doi10.1109/MITS.2011.940472en_US
dc.identifier.urihttp://hdl.handle.net/10072/42318
dc.description.abstractThis paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. the autonomous vehicles' ability to make appropriate driving decisions in city road traffic situations. The paper explains the overall controls system architecture, the decision making task decomposition, and focuses on how Multiple Criteria Decision Making (MCDM) is used in the process of selecting the most appropriate driving maneuver from the set of feasible ones. Experimental tests show that MCDM is suitable for this new application area.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom4en_US
dc.relation.ispartofpageto17en_US
dc.relation.ispartofissue1en_US
dc.relation.ispartofjournalIEEE Intelligent Transportation Systems Magazineen_US
dc.relation.ispartofvolume3en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchControl Systems, Robotics and Automationen_US
dc.subject.fieldofresearchcode090602en_US
dc.titleEnabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Makingen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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