完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lin, Kuen-Wey | en_US |
dc.contributor.author | Li, Yih-Lang | en_US |
dc.contributor.author | Hashimoto, Masanori | en_US |
dc.date.accessioned | 2018-08-21T05:57:01Z | - |
dc.date.available | 2018-08-21T05:57:01Z | - |
dc.date.issued | 2017-01-01 | en_US |
dc.identifier.issn | 1931-0587 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/146940 | - |
dc.description.abstract | Once 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.iso | en_US | en_US |
dc.title | Near-Future Traffic Evaluation based Navigation for Automated Driving Vehicles | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017) | en_US |
dc.citation.spage | 1465 | en_US |
dc.citation.epage | 1470 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000425212700227 | en_US |
顯示於類別: | 會議論文 |