Jump Traffic Jam (JTJ)
The Jump Traffic Jam project addressed research and development for the creation of short and medium-term traffic forecasts.
The system integrates information from institutional sources, verifies it, and regulates its content in terms of coherence, georeferencing, and the time synchronization of events.
The Jump Traffic Jam (JTJ) Project aims to design, implement, and validate a new data process architecture for real-time traffic news production.
Traffic news is processed based on dynamic position data and user profiles and then automatically distributed in a natural language that users can listen to via a smartphone app in absolute driving safety.
Jump Traffic Jam
The project developed the prototype of an app for daily mobility.
Duel developed the system in collaboration with three departments at Sapienza University of Rome: Digilab, the Department of Computer, Automation and Management Engineering, and the Research Center for Transport and Logistics.
The JTJ – Platform for Information Services for Individual Mobility Project was funded by the Lazio Region POR-FESR 2007-2013, Co-Research, R&D call in collaboration with Lazio SMEs.
Duel developed the prototype of the Spy Traffic App, which was released in beta test mode in December 2015 for iOS operating systems.
Starting in 2015, Duel also developed a functional and geographical extension of the project: the TOV – Traffic Over Voice Platform.