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dc.contributor.authorLu, Yi
dc.contributor.authorLi, Hao
dc.contributor.authorTu, Huizhao
dc.contributor.authorLiu, Jian
dc.contributor.authorYuan, Yufei
dc.contributor.authorvan Lint, Hans
dc.date.accessioned2026-08-20T20:56:54Z
dc.date.available2026-08-20T20:56:54Z
dc.date.copyright2025/11/26
dc.date.issued2026
dc.identifier.otherJTEPBS.TEENG-9361.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313715
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleQuantitative Assessment on the Misuse Risk of Intelligent Connected Vehicle Data
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9361
dc.journal.fristpage04025133-1
dc.journal.lastpage04025133-16
dc.page16
dc.treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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