An Intelligent Assistant for Public Transport Management

This paper describes the architecture of a computer system conceived as an intelligent assistant for public transport management. The goal of the system is to help operators of a control center in making strategic decisions about how to solve problems of a fleet of buses in an urban network. The system uses artificial intelligence techniques to simulate the decision processes. In particular, a complex knowledge model has been designed by using advanced knowledge engineering methods that integrates three main tasks: diagnosis, prediction and planning. Finally, the paper describes two particular applications developed following this architecture for the cities of Torino (Italy) and Vitoria (Spain).

Cartografiar el acontecimiento. Paisajes eventuales

En este trabajo se pretende hacer un acercamiento al estudio del paisaje desde su perspectiva dual, espacial y temporal. Se propone un retorno a la geografía y la defensa del espacio como objeto de estudio al tiempo que se mantiene una lectura temporal, eventual, del paisaje. Se trata de investigar las formas en que al enfrentarse al espacio no dominado se trazan estrategias de dominación y medida. Para ello se han estudiado dos casos de estudio: la Batalla de Berlín durante la Segunda Guerra Mundial y el lago Salton en California. This paper aims to make an approach to the study of landscape from its dual condition in space and time. It proposes a return to the geography and defense as a study space while maintaining a temporal reading, eventually, the landscape. The research focuses on the strategies of domination and plotted as the face space. This has been studied for two case studies: the Battle of Berlin during the Second World War and the Salton lake in California