Show simple item record

contributor authorShen, Boyan
contributor authorWang, Zhiwen
contributor authorLing, Guobi
contributor authorWang, Haoxu
contributor authorCheng, Xiaolong
contributor authorMiao, Wei
date accessioned2026-08-20T20:55:58Z
date available2026-08-20T20:55:58Z
date copyright2025/11/03
date issued2026
identifier otherJTEPBS.TEENG-9240.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313691
description abstractAbstractIn intelligent transport systems (ITS), accurate and real-time traffic flow prediction is essential to reduce congestion and manage transport. Numerous existing studies have used hybrid models to extract various intrinsic patterns of traffic flow ...Practical ApplicationsIn intelligent transportation management, accurately predicting road traffic flow is crucial for alleviating congestion and optimizing road networks. Traditional methods are easily disrupted by noise in the data and struggle to fully ...
publisherAmerican Society of Civil Engineers
titleMFMA–Informer: A Short-Term Traffic Flow Prediction Model Incorporating Spatiotemporal Features
typeJournal Article
journal volume152
journal issue1
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9240
journal fristpage04025117-1
journal lastpage04025117-13
page13
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record