Early detection of dangerous areas in traffic
The risk potential on German roads remains high: While it was possible to realise a continuous decrease in traffic fatalities until 2010, the number of all accidents has been rising again since then. Causes for this can be found, for example, in increased traffic volume, stress in everyday life or distraction. As a result, dangerous situations are often not assessed correctly or are recognised too late.
This is exactly where our research project "Early detection of danger points in road traffic using smart data - FeGiS+" comes in, which is funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI) within the framework of the “Modernitätsfonds” (mFUND). The goal of FeGiS+ is to identify risks and potential dangers in road traffic at an early stage and to avoid traffic accidents by means of timely warnings or preventive measures. We want to achieve this by making better use of existing safety-related data and tapping new data sources, thus contributing to greater safety on our roads.
Road users from all over Germany can report their dangerous spots in road traffic via gefahrenstellen.de. These hazard points are compared with other data sources, such as official accident data and kinematic data (vehicle motion data from cars and smartphones). The blending and analysis of this data is intended to identify danger zones at an early stage and to weight them by means of a "danger score".
On the one hand, this information is to be incorporated into intelligent applications for road users to provide timely warnings of danger zones and to indicate safe routes in terms of roads, cycle paths and footpaths. On the other hand, this continuously updated data is to be compiled on a platform and made available for the first time throughout Germany to those involved in road safety work such as local authorities, police, science, engineering offices, navigation providers and car manufacturers for road safety and prevention work.
To ensure that data can be updated regularly, uniform data formats and automated interfaces for the various data sources are defined as part of the project. At the same time, the highest priority is given to the processing of data in compliance with data protection regulations and the transparent handling of information.