Open AccessA dynamic Bayesian network approach to forecast short-term urban rail passenger flows with incomplete data
Author(s) -
Jérémy Roos,
Gérald Gavin,
Stéphane Bonnevay
Publication year - 2017
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2017.07.008
Subject(s) - computer science , dynamic bayesian network , term (time) , inference , bayesian probability , particle filter , bayesian inference , service (business) , ticket , bayesian network , key (lock) , data mining , kalman filter , artificial intelligence , physics , economy , computer security , quantum mechanics , economics
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