This page reports what Snap4City has done for Helsinki and Antwerp in terms of Data Analytic.
List of all scenarious: https://www.snap4city.org/4
Please note that Snap4City has also other capabilities and tools on this matter so that see also:
- traffic flow reconstruction from sensors and other sources: https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTc5NQ==
- parking predictions: https://www.snap4city.org/drupal/node/200 https://ieeexplore.ieee.org/abstract/document/8430514/
- wi-fi people flow prediction and reconstruction https://www.sciencedirect.com/science/article/pii/S1045926X17300083
- what-if analysis, dynamic routing https://www.snap4city.org/drupal/node/521
- origin destination matrices production from a large range of sources: https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTc3NA==
- analysis of the demand vs offer of mobility according to public transportation and multiple data sources https://www.snap4city.org/drupal/node/554
- resilience and risk analysis: https://www.snap4city.org/drupal/node/520
- early warning computation: https://www.snap4city.org/drupal/node/520
- accidents heatmaps
- traffic flow predictions
- NOX pollution prediction on the basis of traffic flow, 48 hours see: https://www.snap4city.org/drupal/node/500
- pollution prediction at 48 hours, every hour
- user engagement for sustainable mobility: https://www.snap4city.org/drupal/node/486
- user behaviour analysis: https://www.snap4city.org/drupal/node/486
- data reconstruction calibration
- tracking fleets, people, devices: https://www.snap4city.org/drupal/node/456
- OBD2 support: https://www.snap4city.org/drupal/node/514
- People flow analysis from PAX Counters: https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MjE4MQ==
- social media analysis on specific channel, specific keywords: see Twitter Vigilance, for NLP and Sentiment Analysis, SA
- data quality assessment, prediction, anomaly detection
- maintenance prediction and costs predictions
- ReTweet proneness, retweettability of tweets: https://link.springer.com/article/10.1007/s11042-018-5865-0
- Audience prediction to TV channels and phisical events: https://link.springer.com/article/10.1007/s11042-017-4880-x
- etc.
All the algorithms have worked continuously providing services to the users and also information to US: What they requested, What they visited, POI; where they passes: trajectories and OD matrix, Language, Routing, Clicking on services and icons, Engaging: responding, Searching.
Description of the main categories of Data Analysis provided.
- Discovery is provided by the Knowledge Base and it is attached to POI. This implies to create a geoindex.
- Discovery of public transport and multimodal routing are based on OSM, KB, and GTFS data
- The browsing of data on Public Transportation implies the analysis and processing of data collected as GTFS, in most cases, they are incomplete or they lack of cross linking that are reconstructed at the moment of ingestion that may happen once per day or once per season according to the updates released by the transportation companies. So that the Snap4City process has to continuously check the presence of updates on these data.
- Full test search implies a continuous full text indexing of all data entering into the platform
- Routing is computed on demand available from Mobile, ServiceMap and MicroApplications:
- https://www.km4city.org/webapp-super/?operation=privatetransport/pathfinder&coordinates=51.222744;4.405380&lang=eng#b
- https://www.km4city.org/webapp-super/?operation=privatetransport/pathfinder&coordinates=60.170437;24.938215&lang=eng#b
- Recently routing is also available on What-IF analysis are dynamic real time routing on dashboard according to eventual barriers defined into the scenarious.
- EAQI: European Air Quality Index, as well as many other Air Quality Indexes are computed on the basis of data obtained in real time for the different cities Their computation algorithms are described in https://www.snap4city.org/drupal/node/413
- Heatmaps data are computed in real time and periodically on the basis of sensors data via interpolation taking into account sensors data and positions. Those of Enfuser (PM10, PM2.5, AQI) are collected in advance as predictions.
- GRAL PM10 predictions are computed by using a complex differential algorithm model taking into account: city graphs, routing possible, 3D structure of the city building, traffic flow density reconstructed or obtained statistically, population of vehicles, forecast for wind, etc.
- Origin Destination and Trajectories are computed periodically, being an analysis. They depend on the data coming from Snap4City Mobile App and so now are feed by demo data.
- Weather data, and forecast are from sensors data and Open Weather service.
- Engagement monitoring of the Antwerp in a Snap mobile App as depicted in dashboard:
- Engagement monitoring of the Helsinki in a Snap mobile App as depicted in dashboard:
- Hot areas and places Click Density are computed on the basis of the data collected from mobile applications and/or PAX counters. See for example Click Density on:
- Trajectories from Mobile PAX Counters that need to be revised and regularized:
- Suggestions are provided taking into account the GPS position and the knowledge of the City
- Self assessment: this feature is based on an algorithm that assess all the activities performed by the users (according to the authorization received) to assess how much of the Snap4City has been covered in terms of feature by the activity. The values are reported to the users in terms of Level reached, and trends for the detailed data we collect and compute for. https://www.snap4city.org/userstats/ssoLogin.php?redirect=https://www.snap4city.org/userstats/user.php?title=Daily+User+Stats+%26nbsp%3B&time=day
- Twitter data are provided from Twitter Vigilance service of DISIT lab:
