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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© 2002 Springer-Verlag Berlin Heidelberg
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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. https://doi.org/10.1007/3-540-46004-7_25
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DOI: https://doi.org/10.1007/3-540-46004-7_25
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