Effect of Time Intervals on Short-Term Traffic Flow Prediction Performance for an Adaptive Fuzzy Inference System Approach

dc.contributor.author	Zhong, Xiaobin
dc.contributor.author	Guo, Jianhua
dc.contributor.author	Wang, Xiaoya
dc.contributor.author	Li, Meiye
dc.date.accessioned	2026-08-20T20:54:09Z
dc.date.available	2026-08-20T20:54:09Z
dc.date.copyright	2025/11/20
dc.date.issued	2026
dc.identifier.other	JTEPBS.TEENG-9049.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313644
dc.description.abstract	AbstractTime interval plays a pivotal role for short-term traffic flow prediction since time interval determines traffic data characteristics and, hence, the performances of such prediction methods. In this sense, the effects of time intervals on ...
dc.publisher	American Society of Civil Engineers
dc.title	Effect of Time Intervals on Short-Term Traffic Flow Prediction Performance for an Adaptive Fuzzy Inference System Approach
dc.type	Journal Article
dc.journal.volume	152
dc.journal.issue	2
dc.journal.title	Journal of Transportation Engineering, Part A: Systems
dc.identifier.doi	10.1061/JTEPBS.TEENG-9049
dc.journal.fristpage	04025126-1
dc.journal.lastpage	04025126-15
dc.page	15
dc.tree	Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002
dc.contenttype	Fulltext