We collected a massive amount of data on traffic situation. With a powerful data analysis tool, we synthetized those vague information into meaningful set of data. The visualization tool would help researchers obtain a better understanding of the data: it reveals the hidden information behind texts and numbers in the most unique way possible.
With data from over 1000 sensors in Dresden, it could detect and predict anomalies (traffic jams, construction site, traffic blockade, etc.) and then visualize them for decision makers to see. The management system could then reroute the routes, reduce waiting time in certain area to unblock the traffic. Taxis companies can also use it to find the smoothest path for taxis to travel.
JavaScript API for rendering interactive 2D and 3D graphics inside an HTML canvas element.
Data are represented as small cubes inside a big cube. With 3D representation mode, you can see the result from every angle by manipulating the result cube.
You can see where the data correspond to in real-world with OpenStreetMap layer directly beneath the result cube.
Depends on your interests, you can display the data cubes you need with our filter system.
Built as an independant web application, you can integrate our Data Visualization Tool in your own services
You have ground-breaking feature and want to integrate it? You are willing to help improve the application? You can join other volunteers or developper communities on GitHub.