Km4City, Smart City API

Description

Km4City (http://www.km4city.org) (knowledge model for the city) is a smart city big data solution aimed at improving the quality of life by enabling the creation of innovative services, for mobility, safety, tourism, reducing consumption and costs, and improving the ability of people and the city to react to unforeseen adverse events. These ambitious goals can be achieved by creating services through artificial intelligence algorithms based on data present in our cities. Not only open data, but also those of transport operators, trade, tourism, cultural heritage, education, weather, environment; those that can come from sensors in the city (IOT, Internet of Things), from social media, and from citizens themselves through Apps and participation systems. In addition to static data that does not change over time, or rarely changes, there are dynamic data (real time) that produce continuous flows of information. It is precisely these that arouse the greatest interest for end users because they allow them to have information, predictions and deductions in real time. For example, with the status and predictions on parking, traffic, consumption, environment, etc. On this basis, solutions are developed for the early diagnosis of critical events. Km4City was born in 2013 as an ontology for smart cities, then the solution was adopted as a basis for the development of tools and projects such as Sii-Mobility smart city national mobility and transport, RESOLUTE H2020, and REPLICATE H2020 of the European Commission. At the moment Km4City as a knowledge base to services of various projects buys with its data all of Tuscany in terms of road information, points of interest (culture, tourism, accommodation, catering, education, commerce, tourism, etc. about 300,000 POI classified in 530 categories), public transport services (by 16 operators), petrol stations, information on the triage of hospitals, traffic flows from about 800 sensors, parking about 200, environment, etc., and social media via TwitterVigilance (http://www.disit.org/tv ), more than a million new complex data per day. The main issues that have been addressed and resolved are related to the management of the complexity of the acquisition of heterogeneous data (different sources, protocols, standards, formats, etc.), the volumes of this data that arrive continuously from the city and the apps, their quality and discontinuity; Configuring in this way the smart city problem in the Big Data space. Lack of interoperability and limited data quality are managed in Km4City through data mining tools to aggregate data and correct problems within acceptable parameters [ http://www.disit.org/6506 ]. On the basis of Km4City knowledge, various analytic data algorithms are then implemented that are based on artificial intelligence and statistics for the production also in real time of predictions, suggestions, stimuli towards citizens, and suggestions towards public decision-makers. Therefore, it is essential to be able to: Collezionare dati, informazioni e commenti anche dagli utenti stessi della città tramite social media, e tramite le App. Fornire informazioni a supporto delle decisioni tenendo sotto controllo lo stato della città. To this end, summary control and visualisation structures have been developed to put adequate dashboards (http://www.km4city.org/controlroomtools.html ) for mobile, totems, and Control Room in front of the public decision-maker, operators and users of the city. Among the most interesting dashboards are those showing the status of mobility services, car parks, flows of vehicles and people, events, destination source maps, events on social media ( http://www.disit.org/tv ), and the correlations between this information. Fornire suggerimenti verso gli utenti della città per informali, per stimolarli verso comportamenti sostenibili, per allertarli dell’arrivo di situazioni critiche. Mettere a disposizione per le APP (mobile e web, ma anche ad altri sistemi, per esempio l’app “Toscana Dove cosa” su tutti gli store http://www.km4city.org ) tramite Smart City API gli elementi fondamentali per produrre servizi e valore sul territorio. For example by operators working on the city such as: museums, tourist agencies, transport operators, car and bike sharing operators, event organisers, commercial activities, etc. [ http://www.disit.org/6597 ].

Resources

Name Format Description Link
23 http://servicemap.disit.org/WebAppGrafo/api/v1

Tags

  • turismo
  • salute
  • allerta
  • cultura
  • mobilita
  • intrattenimento
  • servizi
  • trasporti
  • sicurezza
  • energia

Topics

  • TRAN
  • GOVE
  • EDUC
  • REGI
  • HEAL
  • ENVI

Categories