Near-future traffic evaluation based navigation for automated driving vehicles

Kuen Wey Lin, Yih-Lang Li, Masanori Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationIV 2017 - 28th IEEE Intelligent Vehicles Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1465-1470
Number of pages6
ISBN (Electronic)9781509048045
DOIs
StatePublished - 28 Jul 2017
Event28th IEEE Intelligent Vehicles Symposium, IV 2017 - Redondo Beach, United States
Duration: 11 Jun 201714 Jun 2017

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference28th IEEE Intelligent Vehicles Symposium, IV 2017
CountryUnited States
CityRedondo Beach
Period11/06/1714/06/17

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