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Providing dynamic route advice for urban goods vehicles: the learning process enhanced by the emerging technologies
Author(s) -
Francesco Russo,
Antonio Comi
Publication year - 2022
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.2022.02.078
Subject(s) - process (computing) , emerging technologies , big data , the internet , computer science , advice (programming) , data science , world wide web , artificial intelligence , programming language , operating system

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