The paper proposes a solution for the optimization of traveling times in a metropolitan area that exploits the traffic images collected from webcams located at the crossroads of the traffic network. This is achieved by optimizing the traffic light cycles according to a distributed mathematical model whose solution is obtained by using suitable soft-computing agents resident on the nodes of the information network where they are responsible of processing the webcam images and of managing the traffic light cycles.

Soft-computing agents processing webcam images to optimize metropolitan traffic systems

GIORDANO, Daniela;SPAMPINATO, CONCETTO
2006-01-01

Abstract

The paper proposes a solution for the optimization of traveling times in a metropolitan area that exploits the traffic images collected from webcams located at the crossroads of the traffic network. This is achieved by optimizing the traffic light cycles according to a distributed mathematical model whose solution is obtained by using suitable soft-computing agents resident on the nodes of the information network where they are responsible of processing the webcam images and of managing the traffic light cycles.
2006
978-1-4020-4178-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/88636
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