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    Quantitative Assessment on the Misuse Risk of Intelligent Connected Vehicle Data

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002::page 04025133-1
    Author:
    Lu, Yi
    ,
    Li, Hao
    ,
    Tu, Huizhao
    ,
    Liu, Jian
    ,
    Yuan, Yufei
    ,
    van Lint, Hans
    DOI: 10.1061/JTEPBS.TEENG-9361
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe operation of intelligent connected vehicles (ICVs) is fundamentally data-driven, continuously generating massive amounts of data. Given the significant value of ICV data to enterprises, industries, and nations, promoting data openness and ...
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      Quantitative Assessment on the Misuse Risk of Intelligent Connected Vehicle Data

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313715
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorLu, Yi
    contributor authorLi, Hao
    contributor authorTu, Huizhao
    contributor authorLiu, Jian
    contributor authorYuan, Yufei
    contributor authorvan Lint, Hans
    date accessioned2026-08-20T20:56:54Z
    date available2026-08-20T20:56:54Z
    date copyright2025/11/26
    date issued2026
    identifier otherJTEPBS.TEENG-9361.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313715
    description abstractAbstractThe operation of intelligent connected vehicles (ICVs) is fundamentally data-driven, continuously generating massive amounts of data. Given the significant value of ICV data to enterprises, industries, and nations, promoting data openness and ...
    publisherAmerican Society of Civil Engineers
    titleQuantitative Assessment on the Misuse Risk of Intelligent Connected Vehicle Data
    typeJournal Article
    journal volume152
    journal issue2
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-9361
    journal fristpage04025133-1
    journal lastpage04025133-16
    page16
    treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002
    contenttypeFulltext
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