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

  • Simon C. Roberts
  • Daniel Howard
Conference paper

DOI: 10.1007/3-540-46004-7_25

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2279)
Cite this paper as:
Roberts S.C., Howard D. (2002) Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming. In: Cagnoni S., Gottlieb J., Hart E., Middendorf M., Raidl G.R. (eds) Applications of Evolutionary Computing. EvoWorkshops 2002. Lecture Notes in Computer Science, vol 2279. Springer, Berlin, Heidelberg

Abstract

Traditional algorithms which set a lower speed limit on a motorway to protect the trafic 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 trafic regime. The evolutionary engine automatically decides the time duration for the onset of an incident. This method successfully combines trafic readings from the MIDAS system to predict a variety of late night incidents on the M25 motorway.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Simon C. Roberts
    • 1
  • Daniel Howard
    • 1
  1. 1.QinetiQ Software Evolution CentreMalvernUK

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