Sensors are used in the SOM project to create a better public environment. This can include smart irrigation in municipal plantings, garbage bins where sensors measure the fill rate, or using smart technology to collect data about cyclists’ route choices. A sub-project led by Emeli Adell of Trivector used the mobile phones of cyclists to detect route choices through Lund and a Bluetooth button allowed the cyclists to mark unsafe places.

The data set collected by the bicycle project can now be used to make a visualization tool.

– The visualization tool will be of great benefit to the bicycle project, but also in many other projects, says Johan Lindén of Mobile Heights. The tool makes it possible for the user to see the results in a map environment, but also to filter the data set according to interesting parameters.

The idea is that varied data in the SOM project should be available in a common environment, which in this case is Sensatives Yggio platform, and all results could be displayed through the visualization tool that is now being created.

In order to be able to display the amount of data geographically, T-kartor have been selected as a new project partner. T-maps combine knowledge in cartography and GIS with expertise in software development and databases. The company develops solutions for delivering data, information and products in innovative ways and is therefore an exciting partner in the SOM project.

– T-Kartor provides a platform to be able to more easily visualize sensor data and other data in a map view, explains Christer Pihl of T-Kartor. For Trivector’s bicycle project we developed a web application with a dashboard for analysis of information together with a map view where you can filter travel behaviours based on a number of parameters, such as gender, age, mode of travel etc.

In April 2019 the project partners Trivector, Lunds Kommun, Sensative, Mobile Heights, T-kartor and Future By Lund gathered for a workshop about the visualization. T-kartor have come a long way in creating a tool that shows Trivector’s bicycle data in different ways, including with maps and pie charts. The data can be filtered based on participants, vehicle type, purpose of the trip, points of time and more.

– My hope is that we will build something that can be used afterwards, not just for Lund municipality but also for other municipalities, and by extension create a better environment in the city, says Johan Lindén. The tool allows decisions to be based on data that can in principle be gathered in real-time. Although we are not yet finished, we have already received inquiries from other cities about the tool.

A main goal of the workshop was to find out whether the visualization works for Lund municipality. Therefore, Helena Runesson and Erik Nilsgart from Technical department (Tekniska förvaltningen) at the municipality were able to try a test version.

– The tool is very intuitive and easy to use, claims Erik Nilsgart. There are many people in the municipality that work with this type of data.

– The visualization makes the data more understandable and easier to work with, explains Helena Runesson.

The sub-project started in November 2018 and is expected to be ready for evaluation in September 2019. The project is a sub-project within the larger SOM-project that is funded through IoT Sweden within Vinnova.

For more information contact Anders Trana.

Photo: Christer Pihl, Emeli Adell, Leif Linse and Johan Lindén test the visualization tool.

Translation: Ben Dohrmann