Abstract
The systems of controlling and improving traffic movement have been studied for several years now. The usefulness of these systems is that they can modify and change the lights signals of traffic lights. It is not enough to intervene when the situation has reached a critical point such as a traffic jam. The system has to work out how the traffic will flow. The ideal solution would be a system that works out and foresees the situation on the roads based on a model of motorists’ behaviour. This research shows how to best utilise the classifier systems so that it would be possible to create a model that is similar to that of the real world.
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© 1993 Springer-Verlag/Wien
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Casadei, G., Palareti, A., Proli, G. (1993). Classifier System in Traffic Management. In: Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7533-0_90
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DOI: https://doi.org/10.1007/978-3-7091-7533-0_90
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82459-7
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