Open AccessA reinforcement learning-based dynamic congestion pricing method for the morning commute problems
Author(s) -
Kimihiro Sato,
Toru Seo,
Takashi Fuse
Publication year - 2021
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.2021.01.041
Subject(s) - toll , bottleneck , reinforcement learning , computer science , congestion pricing , traffic congestion , value of time , dynamic pricing , morning , mathematical optimization , operations research , transport engineering , artificial intelligence , travel time , engineering , mathematics , economics , microeconomics , medicine , genetics , biology , embedded system
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