Θέμα της διπλωματικής εργασίας είναι οι “έξυπνες πόλεις”. Μελετάται η έννοια της “ έξυπνης πόλης”, οι εμπλεκόμενοι παράγοντες αλλά και το πώς καθορίζουν τη μορφή των μελλοντικών πόλεων. Στην διπλωματική, παρουσιάζεται ένα σύστημα, μία ηλεκτρονική εφαρμογή διαφορετικά, η οποία συμβάλλει στην βελτιστοποίηση επιλογής μεταφορών και δραστηριοτήτων. Το σύστημα αυτό, συλλέγοντας πληθώρα πληροφοριών για τη ζωή στην πόλη σε πραγματικό χρόνο, κρατά συνεχώς ενήμερο το χρήστη ενώ ταυτόχρονα, χάρη σε έναν αλγόριθμο, του προτείνει βέλτιστες λύσεις για την μετακίνησή του αλλά και την πραγματοποίηση των δραστηριοτήτων, που επιθυμεί στην πόλη. Η Πάτρα, ως μία σημαντική πόλη, η οποία, όμως, είναι σε πρώιμο στάδιο σε ό,τι αφορά την μετατροπή της σε “έξυπνη πόλη”, αποτελεί την περίπτωση μελέτης. Πραγματοποιήθηκαν δοκιμές του συστήματος πάνω στην πόλη της Πάτρας, από διαφορετικές ομάδες χρηστών. Τέλος, το σύστημα αξιολογήθηκε και έγινε αντικείμενο επεξεργασίας ώστε να βελτιστοποιηθεί. / Τhe "smart cities" is the subject of this thesis. The concept of a "smart city", the stakeholders and how these factors would determine the shape of future cities is analyzed. In the thesis, a system, an electronic application in other words, is proposed. The system tries to optimize the selection and transport activities. This system, by collecting a lot of information about the life in the city in real time, keeps the user continuously updated while, at the same time, it can offer optimal solutions, thanks to an algorithm, for moving from one point of the city to another and for carrying out the activities that the users wish. Patra, as an important city, which, however, is at an early stage in the terms of its transformation into a "smart city", is selected as case study. Tests of the system, based on the city of Patras, were carried out by different groups of users. Finally, the system was evaluated and edited in order to be optimized.

Given the demand for mobility in our society, the cost of building additionalinfrastructures and the increasing concerns about the sustainability of the trafficsystem, traffic managers have to come up with new tools to optimize the trafficconditions within the existing infrastructure. This study considered to optimizethe durations of the green light phases in order to improve several criteria such asthe ability of the network to deal with important demands or the total pollutantemissions.     Because the modeling of the problem is difficult and computationally demanding,a stochastic micro-simulator called ’Simulation of Urban MObility’ (SUMO) has been used with a stochastic optimization process, namely a Genetic Algorithm (GA).     The research objective of the study was to create a computational frameworkbased on the integration of SUMO and a Multi-Objective Genetic-Algorithm (MOGA).The proposed framework was demonstrated on a medium-size network correspondingto a part of the town of Rouen, France. This network is composed of 11 intersections,168 traffic lights and 40 possible turning movements. The network is monitored with20 sensors, spread over the network. The MOGA considered in this study is basedon NSGA-II. Several aspects have been investigated during the course of this thesis.     An initial study shows that the proposed MOGA is successful in optimizing thesignal control strategies for a medium-sized network within a reasonable amount oftime.     A second study has been conducted to optimize the demand-related model ofSUMO in order to ensure that the behavior in the simulated environment is close tothe real one. The study shows that a hybrid algorithm composed of a gradient searchalgorithm combined with a GA achieved a satisfactory behavior2 for a medium-sizenetwork within a reasonable time.