The Sensor Web community announces a new version of the SOS (Sensor Observation Service) Importer . It is a tool for importing observations from CSV (Character Separated Values) files to a SOS instance. An eight step wizard guides a user through the often cumbersome process of data transformation.
Six students from the Bochum University of Applied Sciences worked on developing an analysis service for enviroCar last semester. As part of their studies, they developed a pilot system with which one can calculate routes that require the least amount of fuel on average. The basic idea was to create a model which estimates the power/energy consumption for electric cars along predefined routes, thus enabling drivers to determine if they could reach a certain destination with the power available. The students relied on user generated empirical values gathered via enviroCar, e.g. fuel consumption, emission and speed. They used street data from OpenStreetMap, which they edited with ArcGIS Tools.
Last semester, the Institute for Geoinformatics offered a course “Web-based Spatio-temporal Analysis of Floating Car Data”. It focused on developing tools to analyze enviroCar data. Sixteen students got together in small groups and successfully developed several analysis tools. One group created an R Shiny-based Web application for analyzing anomalies in the enviroCar data. Another group implemented an R package to assign the enviroCar data to street segments in order to calculate aggregates for the street segments, e.g. average speed. A third group evaluated an approach for estimating noise emissions using regression models and implemented a simple online tool for noise estimation. Add your own GeoJSON track!
These are only a few examples of the work done. But they nicely demonstrate further ways of analyzing enviroCar data to answer various questions from different application domains.
