Lane-based short-term urban traffic forecasting with GA designed ANN and LWR models
Author(s) -
Asif Raza,
Ming Zhong
Publication year - 2017
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.2017.05.169
Subject(s) - beijing , percentile , artificial neural network , genetic algorithm , term (time) , computer science , engineering , statistics , artificial intelligence , machine learning , china , mathematics , geography , physics , archaeology , quantum mechanics
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