A computational intelligence-based approach for short-term traffic flow prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Zargari:2012:ES,
  author =       "Shahriar Afandizadeh Zargari and 
                 Salar Zabihi Siabil and Amir Hossein Alavi and Amir Hossein Gandomi",
  title =        "A computational intelligence-based approach for
                 short-term traffic flow prediction",
  journal =      "Expert Systems",
  year =         "2012",
  volume =       "29",
  number =       "2",
  pages =        "124--142",
  month =        may,
  keywords =     "genetic algorithms, genetic programming, Discipulus,
                 traffic flow, prediction, artificial neural network,
                 fuzzy logic, formulation",
  ISSN =         "1468-0394",
  URL =          "http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0394.2010.00567.x/abstract",
  DOI =          "doi:10.1111/j.1468-0394.2010.00567.x",
  size =         "18.1 pages",
  abstract =     "This paper proposes alternative approaches for the
                 prediction of short-term traffic flow using three
                 branches of computational intelligence techniques,
                 namely linear genetic programming (LGP), multilayer
                 perceptron (MLP) and fuzzy logic (FL). Different LGP,
                 MLP and FL models are developed for estimating the 5-
                 and 30-min traffic flow rates. New LGP- and MLP-based
                 prediction equations are derived for the traffic flow
                 rates in the five and thirty minute time intervals. The
                 models are established upon extensive databases of the
                 traffic flow records obtained from Iran's Rasht-Qazvin
                 highway. The results indicate that the proposed models
                 are effectively capable of predicting the target
                 values. The LGP-based models are found to be simple,
                 straightforward and more practical for predictive
                 purposes compared with the other derived models.",
}

Genetic Programming entries for Shahriar Afandizadeh Zargari Salar Zabihi Siabil A H Alavi A H Gandomi

Citations