SMART APPLICATIONS FOR SMART CITY: A CONTRIBUTION TO INNOVATION

1. SMART APPLICATIONS FOR SMART CITY: A CONTRIBUTION TO INNOVATION Simona Citrigno, ICT-SUD Sabrina Graziano, OKT srl Francesco Lupia, UNICAL Domenico Saccà, UNICAL & ICT-SUD

2. TETRIS Project Overview • The project "TETRis - TETRA Innovative Open Source Services" is aimed at supporting Smart City/Smart Territory applications • Data are acquired by means of distributed smart objects within multi-protocol networks • Collected data, properly enhanced and enriched, foster innovative services oriented to the production and exchange of knowledge among the different actors interconnected in urban and regional networks

3. TWO SMART ENVIRONMENTS FOR SMART CITY • Two smart environments have been designed to handle two relevant smart city application scenarios: (i) Urban Mobility Monitoring and (ii) Territory Monitoring, Control and Maintenance. • Each art environment has been designed as a knowledge-based digital/physical system that is richly and invisibly interwoven with sensors, actuators, displays, and computational elements, embedded seamlessly in stationary and mobile smart objects with embedded intelligence and in smart-phones, and connected through a continuous network.

4. SMART ENVIRONMENT FOR URBAN MOBILITY MONITORING • Implementation of a model for the detection of mobility problems in urban areas through the use of stationary smart objects deployed in the territory and mobile ones installed in public transportation buses. • Data from smart objects are collected and aggregated into a data warehouse feeding a Mobility Intelligence platform defined through the design of innovative techniques of space-temporal data analysis and mining of complex data, including trajectories. • The environment delivers services to operators and citizens through the use of mobile devices. • Experimentation in the town of Cosenza in Southern Italy.

5. MAIN TASKS • Assessment to check the actual possibility to replace part of private mobility in the urban area of Cosenza by public transport together with highlighting of deficiencies, waste of resources and with suggesting for improvements / upgrades; • Discovery of public bus frequent moving patterns in their routes from the mining of bus logs and trajectories; • Reachability evaluation of the city and surrounding areas, using data on both public transport routes and bus logs to compute the actual time distances among the various areas of Cosenza during the day; • Profiling of Population Mobility, using data from a mobile phone company to detect how phone callers move among the various city area and to classify them on the basis of their behaviors.

6. A PROTOTYPE FOR URBAN MOBILITY MINING • The prototype uses a process mining approach: congestion models for public transportation routes are derived from the analysis of logs • It includes two components: • a pre-processing task (i.e., extracting data from spatio-temporal databases and converting them into a process log) • a mining task (i.e., building a process model for a given input log)

7. Two Basic CongestionModels • Congestion models where the causality between two adjacent routes follow the reverese direction of the travel way (in fact the traffic propagates causally in reverse to the direction of travel w.r.t. the origin of the obstruction).

8. Two Basic CongestionModels (continued) • congestion models with causality between routes that are geographically distant

9. Conclusion • TETRis project’s innovative solutions for monitoring urban contexts according to the emerging integrated strategic vision of the Smart City and for providing ubiquitous services to both citizens and urban operators • Focus of the presentation on modeling urban mobility congestion