Open AccessRoute learning: a machine learning-based approach to infer constrained customers in delivery routes
Author(s) -
André Snoeck,
Daniel Merchán,
Matthias Winkenbach
Publication year - 2020
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.2020.03.185
Subject(s) - computer science , unavailability , vehicle routing problem , machine learning , stylized fact , context (archaeology) , routing (electronic design automation) , inference , artificial intelligence , graphical model , structured prediction , transaction data , data mining , operations research , engineering , database , computer network , paleontology , biology , economics , reliability engineering , macroeconomics , database transaction
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