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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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

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