No abstract

This paper describes a project-based learning demonstrator developed for a Real-Time Control course addressed to CS and EE students. The goal of this project is to immerse the students in a realistic design environment, where they can strengthen the theoretical principles while improving their abilities to think, analyse, and solve problems learningby-doing. The student-developed educational application, consisting of a robotic arm which plays the online Ruzzle game in a fully automatic way, has been realized in a short time with limited budget. This was a practical combination of knowledges from robotics, image acquisition and processing, tree search algorithms, systems integration and hardware configuration. The educational results of this experience have shown that the development of a practical-learning case based on the combination of different fields increased the student motivation and improved the assimilation of the theoretical concepts.

This paper presents an algorithm for managing the demand and supply in a shared transportation system. In particular we present a method, independent from the Geographic Information System (GIS), which processes drivers and passengers requests and ranks them in order to encourage matching and to propose the solution profitable for all. The basic idea is to give priority to the requests of passengers with more common route and avoid those with greater excess path. In the end, we propose a solution for the distribution of costs among the participants of shared travel based on the application of the Shapley value.