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A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy
@article{lopez_hybrid_2016,
title = {A {Hybrid} {Method} for {Short}-{Term} {Traffic} {Congestion} {Forecasting} {Using} {Genetic} {Algorithms} and {Cross} {Entropy}},
volume = {17},
issn = {1524-9050, 1558-0016},
url = {http://ieeexplore.ieee.org/document/7331637/},
doi = {10.1109/TITS.2015.2491365},
number = {2},
urldate = {2016-12-13TZ},
journal = {IEEE Transactions on Intelligent Transportation Systems},
author = {Lopez, Pedro and Onieva, Enrique and Osaba, Eneko and Masegosa, Antonio and Perallos, Asier},
year = {2016},
keywords = {Q1, if-3.724},
pages = {557--569}
}
Abstract