Incorporating Roadside Traffic Data to Predict Lane Change Behaviors within Weaving Segment for Automated Vehicles

dc.contributor.author	Wang, Ling
dc.contributor.author	Bian, Qingjie
dc.contributor.author	Shu, Aibing
dc.contributor.author	Abuzwidah, Muamer
dc.contributor.author	Xing, Yingying
dc.contributor.author	Ma, Wanjing
dc.date.accessioned	2026-08-20T20:54:58Z
dc.date.available	2026-08-20T20:54:58Z
dc.date.copyright	2025/10/09
dc.date.issued	2025
dc.identifier.other	JTEPBS.TEENG-9116.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313665
dc.description.abstract	AbstractThe weaving segment is the bottleneck of expressways, as onramp and offramp traffic intermingles. While numerous studies have focused on predicting lane change behaviors within these segments, many existing approaches fail to exploit the ...
dc.publisher	American Society of Civil Engineers
dc.title	Incorporating Roadside Traffic Data to Predict Lane Change Behaviors within Weaving Segment for Automated Vehicles
dc.type	Journal Article
dc.journal.volume	151
dc.journal.issue	12
dc.journal.title	Journal of Transportation Engineering, Part A: Systems
dc.identifier.doi	10.1061/JTEPBS.TEENG-9116
dc.journal.fristpage	04025110-1
dc.journal.lastpage	04025110-11
dc.page	11
dc.tree	Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
dc.contenttype	Fulltext