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contributor authorLai, Yuanwen
contributor authorZhang, Jiakun
contributor authorZhou, Xiaowei
contributor authorXu, Ling
contributor authorLan, Ziye
contributor authorM. Easa, Said
contributor authorWang, Shuyi
date accessioned2026-08-20T20:57:16Z
date available2026-08-20T20:57:16Z
date copyright2026/03/27
date issued2026
identifier otherJTEPBS.TEENG-9429.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313725
description abstractAbstractUrban rail transit systems encounter challenges in short-term passenger flow prediction due to complex spatiotemporal data and dynamic travel patterns. Traditional models often struggle to capture these complexities. This study introduces a hybrid ...
publisherAmerican Society of Civil Engineers
titleShort-Term Passenger Flow Prediction of Urban Rail Transit Integrating Multiple Features: A Hybrid Model with Two-Stage Feature Selection
typeJournal Article
journal volume152
journal issue6
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9429
journal fristpage04026027-1
journal lastpage04026027-17
page17
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 006
contenttypeFulltext


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