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dc.contributor.authorCanova, Marcello
dc.contributor.authorShahbakhti, Mahdi
dc.contributor.authorBorhan, Hoseinali
dc.contributor.authorHotz, Scott
dc.date.accessioned2022-05-08T09:02:21Z
dc.date.available2022-05-08T09:02:21Z
dc.date.copyright1/31/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn0022-0434
dc.identifier.otherds_144_01_010301.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284656
dc.description.abstractThe world of personal mobility is undergoing major changes. The majority of vehicles sold in the U.S. today contain some form of connectivity and driver assistance systems. Both automotive OEMs and major technology/software companies have launched deployment and testing programs for autonomous vehicles (ranging from SAE L2 to L5 automation) over the next 10 years.In the last decade, several studies have confirmed the potential offered by connected and automated vehicle technologies to reduce traffic congestion, expand and improve mobility options, and increase safety. However, the opportunity to improve the energy efficiency of individual vehicles and fleets by exploiting the capabilities offered by advanced driver assistance systems has been only recently explored. Recent contributions in the field have demonstrated that eco-routing, eco-driving, hybrid energy flow optimization, platooning, and other connected and L1–L3 automation techniques can significantly improve individual vehicle energy efficiency.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleSpecial Issue: Optimal Energy Management and Control in Connected and Automated Vehicles
dc.typeJournal Paper
dc.journal.volume144
dc.journal.issue1
dc.journal.titleJournal of Dynamic Systems, Measurement, and Control
dc.identifier.doi10.1115/1.4053416
dc.journal.fristpage10301-1
dc.journal.lastpage10301-1
dc.page1
dc.treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 001
dc.contenttypeFulltext


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