Title: Near-Future Traffic Evaluation based Navigation for Automated Driving Vehicles
Authors: Lin, Kuen-Wey
Li, Yih-Lang
Hashimoto, Masanori
資訊工程學系
Department of Computer Science
Issue Date: 1-Jan-2017
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.
URI: http://hdl.handle.net/11536/146940
ISSN: 1931-0587
Journal: 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017)
Begin Page: 1465
End Page: 1470
Appears in Collections:Conferences Paper