A Toolchain for Extracting and Visualising Road Traffic Data
Publikation aus Digital
Fernerkundung und Geoinformation, Intelligent Vision Applications, Intelligente Akustische Lösungen
Helmut Neuschmied, Florian Krebs, Stefan Ladstätter, Elisabeth Eder, Mohamed Berrazouane, Georg Thallinger
Graz , 10/2022
We demonstrate a toolchain for visualising detailed road traffic data from multimodal sensors consisting of (i) the automatic, real-time extraction of movement paths of road users and noteworthy events from traffic monitoring cameras or LIDAR sensors, (ii) extraction of audio events from individual microphones and microphone arrays, (iii) a spatial data managment system storing the extracted information together with a geographic information system (GIS), and (iv) a web based viewer allowing to interactively visualise all these data in the context of a high-definition digital twin of the traffic environment. This system enables the collection of a considerable amount of objective data on road use and can be used for planning changes to traffic facilities as well as for assessing changes in the traffic environment.
Keywords: Digital Twin, traffic monitoring, LIDAR sensors, geographic information system (GIS)