Near-future traffic evaluation based navigation for automated driving vehicles

Kuen Wey Lin, Yih-Lang Li, Masanori Hashimoto

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題IV 2017 - 28th IEEE Intelligent Vehicles Symposium
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1465-1470
頁數6
ISBN(電子)9781509048045
DOIs
出版狀態Published - 28 7月 2017
事件28th IEEE Intelligent Vehicles Symposium, IV 2017 - Redondo Beach, United States
持續時間: 11 6月 201714 6月 2017

出版系列

名字IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference28th IEEE Intelligent Vehicles Symposium, IV 2017
國家/地區United States
城市Redondo Beach
期間11/06/1714/06/17

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