Positioning & Beyond
Smart traffic services
Spatial positioning is essential for accurate traffic services that rely on real-time data, as is a mobile network connection. For example, the eCall service in vehicles automatically sends the vehicle ' s location during a serious crash. These eServices can also alert drivers to road conditions, such as snow or ice, which are common in the Arctic region. Updating and modernizing road weather forecasting methods is crucial for public safety, as intelligent traffic eServices can suggest safer routes.
However, to make traffic services smarter, several technical challenges must be addressed. This collaboration among Finnish partners examined how sensor data could improve road weather forecasts and, in turn, enhance point cloud creation by gathering and analyzing data from a ground robot equipped with a LiDAR scanner for terrain modeling. This case also offers valuable insights for refining future research methods, particularly by combining real-world data collection with advanced modeling techniques to enhance reliability and scalability.