Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3741

@InProceedings{Roberts:2002:EvoWorkshops,
  author =       "Simon C. Roberts and Daniel Howard",
  title =        "Detection of Incidents on Motorways in Low Flow High
                 Speed Conditions by Genetic Programming",
  booktitle =    "Applications of Evolutionary Computing, Proceedings of
                 EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN",
  year =         "2002",
  editor =       "Stefano Cagnoni and Jens Gottlieb and Emma Hart and 
                 Martin Middendorf and G{"}unther Raidl",
  volume =       "2279",
  series =       "LNCS",
  pages =        "245--254",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-4 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, applications",
  ISBN =         "3-540-43432-1",
  doi =          "doi:10.1007/3-540-46004-7_25",
  size =         "10 pages",
  abstract =     "Traditional algorithms which set a lower speed limit
                 on a motorway to protect the traffic against collision
                 with a queue are not successful at detecting isolated
                 incidents late at night, in low flow high speed
                 conditions. The Staged Genetic Programming method is
                 used to detect an incident in this traffic regime. The
                 evolutionary engine automatically decides the time
                 duration for the onset of an incident. This method
                 successfully combines traffic readings from the MIDAS
                 system to predict a variety of late night incidents on
                 the M25 motorway.",
  notes =        "EvoWorkshops2002, part of cagnoni:2002:ews",
}

Genetic Programming entries for Simon C Roberts Daniel Howard

Citations