Show simple item record

dc.contributor.authorZhao, Yatao
dc.contributor.authorWang, Jiangfeng
dc.contributor.authorHao, Wang
dc.contributor.authorLi, Peikun
dc.date.accessioned2026-08-20T20:55:03Z
dc.date.available2026-08-20T20:55:03Z
dc.date.copyright2025/10/08
dc.date.issued2025
dc.identifier.otherJTEPBS.TEENG-9120.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313668
dc.description.abstractAbstractWith the widespread application of graph-free autonomous driving, the importance of trajectory prediction has become increasingly prominent. End-to-end prediction models, while solving the prediction problem, have high computational requirements ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAnthropomorphic Trajectory Forecasting for Multiagent Systems in Complex Environments
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue12
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9120
dc.journal.fristpage04025108-1
dc.journal.lastpage04025108-18
dc.page18
dc.treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record