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.