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Cell-Trans: A Traffic Prediction Method for Motion Planning of Autonomous Vehicles at Signalized Intersections

dc.contributor.authorLi, Anran
dc.contributor.authorXu, Zhenlin
dc.contributor.authorPan, Yuyan (Annie)
dc.contributor.authorGao, Bolin
dc.contributor.authorZhang, Jian
dc.contributor.authorChen, Yanyan
dc.contributor.authorLi, Yongxing
dc.date.accessioned2026-08-20T20:54:49Z
dc.date.available2026-08-20T20:54:49Z
dc.date.copyright2025/09/29
dc.date.issued2025
dc.identifier.otherJTEPBS.TEENG-9105.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313661
dc.description.abstractAbstractIntelligent vehicle cyberphysical systems can integrate real-time traffic scene perception with built-in high-definition maps to construct digital twins of real-world signalized intersections. Based on digital twins, this paper presents a traffic ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCell-Trans: A Traffic Prediction Method for Motion Planning of Autonomous Vehicles at Signalized Intersections
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue12
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9105
dc.journal.fristpage04025102-1
dc.journal.lastpage04025102-13
dc.page13
dc.treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
dc.contenttypeFulltext


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