LINK TO THE CALL of: Hackathon 2021: IEEE Intelligent Transport System Snap4City
Data available for the IEEE ITS Snap4City Hackathon are open data, static data, and real time data. It is the largest collection of data for smart city available for testing and App development, open. The global volume ingested by Snap4City every day if about 2 Million of new complex entities per day, on several areas, Tuscany region whole with several cities such as: Florence Metro city, Pisa, Arezzo, Grosseto, Livorno, Prato, Siena, etc.), etc.
See also Welcome to those cities for a selection of Dashboards and data there:
- Tuscany: https://www.snap4city.org/760
- Florence: https://www.snap4city.org/747
- Pisa: https://www.snap4city.org/746
- Livorno: https://www.snap4city.org/751
- Siena: https://www.snap4city.org/759
- Prato: https://www.snap4city.org/758
- Pistoia: https://www.snap4city.org/761
The Snap4City platform on DISIT organization allows you to access data (which cannot be download and redistributed for private use) regarding: car parking, public transport operators, bike sharing, pollutant, traffic flow, weather, points of interests, pollination, picking from heatmaps, etc. in the whole Tuscany region which is a region with more than 3.5 M of inhabitants.
Also including MicroService, API and services for routing and multimodal routing in Tuscany, etc. and a set of MicroApplications.
The data put a disposal for the IEEE ITS Snap4City Hackathon 2021 is a large part of those in the area of Tuscany as described below.
|Overview of data in DISIT Organization, including data from Tuscany area which include data from several cities: Firenze, Lucca, Pisa, Livorno, Siena, Arezzo, Massa, Prato, Pistoia, Grosseto, etc. The number in the figures are referring only to Florence area.|
Please take in mind that each entity provide a range of data from 10 to some hundreds, thousands, etc., which are sensor values, descriptions, etc.
Historical data are avialble for several months and years in most cases.
Real time data of sensors have in most cases also attached historical values, predictions, etc. Real Time data can be high rate data coming into the platform periodically, or with high rate in pull or push, or are event driven data arriving from IOT Brokers. All the data can be used transparently on Dashboards while IOT applications can used to access and react to real time data from brokers via IOT Directory. Historical data can be accessed and searched via Smart City API which are accessible for developer for mobile and web App, and also in IOT Applications as MicroServices, nodes of Node-RED, by using the Snap4City official library on Node-RED library of JS foundation.
Data can be accessed from Smart City API for creating Web and mobile applications as you like, or by exploiting the Snap4All development kit based on Cordova, as source code accessible as starting point, which also use the Advanced Smart City API.
Data can be also added by Snap4City users by using IOT App as file or calling external services via Node-RED node/Microservice. A number of data sets and exernal sevices have been already loaded. Others can be added by you. You can ingest data in batch from several kinds of solutions, and in particualr by using: IOT App. These solutions for data gathering may also allow you to ingest data from several protocols such as FTP, WS, HTTP, HTTPS, OneM2M, NGSI, SigFOX, etc. hundreds of protocols. Data of the users, may be saved in time series storage as private data: MyKPI with corresponding functionalities or physical and virtual IoT devices. They are kept private by system according to GDPR, but the user may device to make them accessible to single users, groups and/or public. They are time series, also with GPS coordinates, IoT Devices Mobile, they may change over time or stable, thay may have metadata for Km4City classification, etc. Users, the owners, can edit them visually or from MicroServices programmically, the user can also delegate the access to their data to other users of the platform, of publish them anonimously as GDPR compliant.
Data can be also directly loaded from your file into the IOT App.
For details about to develop tools and acces data please see the Snap4City training Course: https://www.snap4city.org/577
the data can be accessed from:
- Smart City API from Data Analytics processes developed on Snap4City cloud in RStudio or Python
- Smart City API for mobile App