Towards an Urban Smart Mobility: Preliminary Results of an Experimental Investigation in Artena

With a higher awareness of sustainable development issues, the social costs of externalities of urban mobility have become unbearable. Whether in major cities improvement of transit may mitigate some of these drawbacks, in small municipalities countermeasures can be very challenging. Within this context, the “Smart Urban Mobility Management” (SUMMa) project it is trying to implement new technologies by making use of modern digital technologies and 5G communication networks for managing transportation systems in a small town. In this paper an application of a smart mobility paradigm based on a digital platform employing an enhanced Mobile Broadband, massive Machine Type Communications and Mobile Edge Computing, is presented. The digital platform has been conceived to help Artificial Intelligence algorithms for recognition image and interpretation of traffic field data, collected by H-D cameras. The system has been used to evaluate Origin-Destination flows on a real time basis. The estimated O/D matrix together with the collected traffic counts can be used in order to develop and calibrate a travel demand prediction model that will allow to evaluate urban mobility externalities. Preliminary results obtained on a test site located in the city of Artena seem to indicate that the proposed system is promising in capturing vehicular traffic pattern.