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dc.contributor.authorLin, Kuen-Weyen_US
dc.contributor.authorLi, Yih-Langen_US
dc.contributor.authorHashimoto, Masanorien_US
dc.date.accessioned2018-08-21T05:57:01Z-
dc.date.available2018-08-21T05:57:01Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn1931-0587en_US
dc.identifier.urihttp://hdl.handle.net/11536/146940-
dc.description.abstractOnce vehicles start to be driven automatically, people expect the driving routing is automatically and optimally selected. Supposing all the vehicles are navigated by a single system in the future, the navigation system will be able to provide instructions to each vehicle based on the evaluated near-future traffic information while the current navigation system frequently updates the routing based on current traffic information. This paper proposes a navigation method that guides vehicles based on the evaluated near-future traffic information. Experimental results with actual city maps show the evaluated near-future traffic information is helpful to mitigate traffic jam and reduce driving time.en_US
dc.language.isoen_USen_US
dc.titleNear-Future Traffic Evaluation based Navigation for Automated Driving Vehiclesen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017)en_US
dc.citation.spage1465en_US
dc.citation.epage1470en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000425212700227en_US
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