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contributor authorCanova, Marcello
contributor authorShahbakhti, Mahdi
contributor authorBorhan, Hoseinali
contributor authorHotz, Scott
date accessioned2022-05-08T09:02:21Z
date available2022-05-08T09:02:21Z
date copyright1/31/2022 12:00:00 AM
date issued2022
identifier issn0022-0434
identifier otherds_144_01_010301.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284656
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.
publisherThe American Society of Mechanical Engineers (ASME)
titleSpecial Issue: Optimal Energy Management and Control in Connected and Automated Vehicles
typeJournal Paper
journal volume144
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4053416
journal fristpage10301-1
journal lastpage10301-1
page1
treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 001
contenttypeFulltext


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