Predicting Traffic Volume and Occupancy at Failed Detectors
Author(s) -
Ishan Tarunesh,
Edward Chung
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.2020.08.134
Subject(s) - detector , correctness , deep learning , artificial neural network , computer science , traffic flow (computer networking) , occupancy , artificial intelligence , volume (thermodynamics) , traffic volume , machine learning , real time computing , data mining , engineering , algorithm , computer network , telecommunications , transport engineering , physics , quantum mechanics , architectural engineering
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