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    Special Issue: Optimal Energy Management and Control in Connected and Automated Vehicles

    Source: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 001::page 10301-1
    Author:
    Canova, Marcello
    ,
    Shahbakhti, Mahdi
    ,
    Borhan, Hoseinali
    ,
    Hotz, Scott
    DOI: 10.1115/1.4053416
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The 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.
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      Special Issue: Optimal Energy Management and Control in Connected and Automated Vehicles

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284656
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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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