Abstract
This article proposes the integration of an approach based on cellular automata for the regulation and the reconfiguration of urban transportation systems. The complexity of an UTS has a dramatic effect on disturbances. Incidents are very complicated when there are several areas particularly concerned or blocking a route for a longer or shorter. In this case, appropriate regulation action or any particular route changes are necessary. We focus in this paper to integrate this new approach in an UTS regulating platform SARRT to improve collective performance point of view response time and data storage. To implement this approach we use a Boolean Modeling Language (BML) adopted by the cellular inference engine (CIE).
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