Abstract
Nowadays smart mobility, a new vision of urban mobility, is a reality. To implement smart mobility scenarios a deep integration among citizens, private and public transportation systems and ICT is required. With the S2-Move project we propose an architecture able to collect, update, and process real-time and heterogeneous information from various sources (tablets, smart-phones, probe vehicles) and actors of the urban scenario (public/private vehicles, pedestrians, infrastructures) in order to provide innovative mobility services. In this paper, we present a core component of the S2-Move project: the map-based web platform designed and implemented for providing smart mobility services. We present use cases and detail the design and the implementation of the platform. Finally, we evaluate the accuracy and efficiency of the Map Matching and Traffic Monitoring algorithms we implemented in our platform by using realistic urban traffic data generated through simulations in SUMO.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
