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Combining adaptation at supply and demand levels in microscopic traffic simulation: a multiagent learning approach
Author(s) -
Liza Lunardi Lemos,
Ana L. C. Bazzan
Publication year - 2019
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.2018.12.217
Subject(s) - reinforcement learning , adaptation (eye) , computer science , range (aeronautics) , agent based model , reinforcement , simulation , artificial intelligence , engineering , psychology , structural engineering , neuroscience , aerospace engineering

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