A novel prediction model for the inbound passenger flow of urban rail transit-Reference-Cited by-同舟云学术

A novel prediction model for the inbound passenger flow of urban rail transit

Published:2021-08 Issue: Volume:566 Page:347-363
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Xin,Xue Qiuchi,Yang Xingxing,Yin Haodong,Qu Yunchao,Li Xiang,Wu Jianjun

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Beijing Municipal Natural Science Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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5. Sequential framework for short-term passenger flow prediction at bus stop;Gong;Transp. Res. Rec.,2014

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