Gaining Insights into Traffic Data through Genetic Improvement

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Aniko Ekart and Alina Patelli and Victoria Lush and 
                 Elisabeth Ilie-Zudor",
  title =        "Gaining Insights into Traffic Data through Genetic
  booktitle =    "GI-2017",
  year =         "2017",
  editor =       "Justyna Petke and David R. White and W. B. Langdon and 
                 Westley Weimer",
  pages =        "1511--1512",
  address =      "Berlin",
  month =        "15-19 " # jul,
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, symbolic regression, data mining",
  isbn13 =       "978-1-4503-4939-0",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1145/3067695.3082523",
  size =         "2 pages",
  abstract =     "We argue that Genetic Improvement can be successfully
                 used for enhancing road traffic data mining. This would
                 support the relevant decision makers with extending the
                 existing network of devices that sense and control city
                 traffic, with the end goal of improving vehicle flow
                 and reducing the frequency of road accidents. Our
                 position results from a set of preliminary observations
                 emerging from the analysis of open access road traffic
                 data collected in real time by the Birmingham City
  notes =        "Last author also know as Angyalka Ilie Zudor Also
                 known as \cite{sztaki9290}",

Genetic Programming entries for Aniko Ekart Alina Patelli Victoria Lush Elisabeth Ilie-Zudor