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dc.contributor.authorAn, Bocheng
dc.contributor.authorCui, Chuang
dc.contributor.authorGan, Rui
dc.contributor.authorQu, Xu
dc.contributor.authorRan, Bin
dc.date.accessioned2026-08-20T20:58:11Z
dc.date.available2026-08-20T20:58:11Z
dc.date.copyright2026/05/30
dc.date.issued2026
dc.identifier.otherJTEPBS.TEENG-9539.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313747
dc.description.abstractAbstractPredicting the trajectories of surrounding vehicles is crucial for autonomous driving systems. In recent years, mainstream methods have used fixed-length input sequences, relying on historical trajectories of a fixed duration to predict future ...
dc.publisherAmerican Society of Civil Engineers
dc.titleVARNet: A Transformer-Based Model for Vehicle Trajectory Prediction with Variable-Length Input Sequences
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue8
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9539
dc.journal.fristpage04026054-1
dc.journal.lastpage04026054-9
dc.page9
dc.treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008
dc.contenttypeFulltext


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