Abstract

Don Quixote creates Dulcinea of El Toboso, the beloved of the knight-errant, out of his recollections of Aldonza Lorenzo. The character of Dulci­nea is very different from the peasant woman who inspired her creation, to the point that the latter is entirely effaced, while the imaginary Dulcinea, as she has taken possession of don Quixote’s inner world, becomes stronger and plays an increa­singly important role in the novel, exerting influence on the development of events. This will be more evident in the second part of the novel, where two women at the duke’s court, the duchess herself and Altisidora, take on the task of unmasking the nonexistence of Dulcinea, and induce don Quixote to fall in love with a real woman, a role assumed by Altisidora. In this essay, I argue that the more these real women question Dulci­nea, the stronger will be don Quixote’s feelings for his imaginary beloved. This process takes place within one of the central conflicts of Cervantes’ novel: the struggle between the creatures of the imagination and those we accept as real.

Abstract

GPS navigators are now present in most vehicles and smartphones. The usual goal of these navigators is to take the user in less time or distance to a destination. However, the global use of navigators in a given city could lead to traffic jams as they have a highly biased preference for some streets. From a general point of view, spreading the traffic throughout the city could be a way of preventing jams and making a better use of public resources. We propose a way of calculating alternative routes to be assigned by these devices in order to foster a better use of the streets. Our experimentation involves maps from OpenStreetMap, real road traffic, and the microsimulator SUMO. We contribute to reducing travel times, greenhouse gas emissions, and fuel consumption. To analyze the sociological aspect of any innovation, we analyze the penetration (acceptance) rate which shows that our proposal is competitive even when just 10% of the drivers are using it. Spanish MINECO project TIN2014-57341-R (http://moveon.lcc.uma.es). FPU grant (FPU13/00954) from the Spanish Ministry of Education, Culture and Sports. University of Malaga. International Campus of Excellence Andalucia TECH.

Abstract

Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how authorities could improve the road traffic by endorsing long term policies to change the different vehicle proportions: sedans, minivans, full size vans, trucks, and motorbikes, without losing the ability of moving cargo throughout the city. We have performed our study in a realistic scenario (map, road traffic characteristics, and number of vehicles) of the city of Malaga and captured the many details into the SUMO microsimulator. After analyzing the relationship between travel times, emissions, and fuel consumption, we have defined a multiobjective optimization problem to be solved, so as to minimize these city metrics. Our results provide a scientific evidence that we can improve the delivery of goods in the city by reducing the number of heavy duty vehicles and fostering the use of vans instead. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This research has been partially funded by the Spanish MINECO and FEDER projects TIN2014-57341-R, TIN2016-81766-REDT, and TIN2017-88213-R. University of Malaga, Andalucia TECH. Daniel H. Stolfi is supported by a FPU grant (FPU13/00954) from the Spanish MECD. Christian Cintrano is supported by a FPI grant (BES-2015-074805) from Spanish MINECO. Document type: Part of book or chapter of book