Implementation of a MEC Application for a Traffic Control Center

Multi-Access Edge Computing (MEC) is a new paradigm in application development, since it has the purpose of offering cloud computing services at the edge of the network and closer to the users, introducing a near server between the client and the traditional remote server. The benefits of this new technique are especially the ultra-low latency, high bandwidth, real-time access to radio network, contextual information, location awareness and a flexible and extendable framework for the services. In this thesis an implementative project is presented, where the MEC environment is used for the development of an Intelligent Transport System application: a traffic monitoring system able to connect the vehicles to a Traffic Control Center (TCC) in order to allow drivers to report a road obstruction detection directly, exploiting a crowdsourcing approach. Moreover, the application is able to offer to the drivers a traffic rerouting service, providing a customized response that contains an alternative route advice, calculated thanks to the MEC knowledge of the vehicles positions. The project focuses on the implementation of all the communication chain from the users to the TCC, with a particular attention to the MEC Application and to the MEC Location API, the standardized location service for MEC. For the information exchange with the TCC, the protocols that have been studied and used for the creation of the data messages are DATEX II and S.I.MO.NE.. In the last part of the thesis, the Simulator for Urban Mobility (SUMO) is used to compute the traffic rerouting for the drivers and to analyze the behavior of a macroscopic routing algorithm on a realistic map of Turin.