FeGiS

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FeGiS ( acronym of: F ruh e rkennung of G efahrenstellen i m S traßenverkehr) is a research project for the early identification of danger zones in the road and the prevention of road accidents in Germany . The project has been running since December 2017 and, based on the successfully completed FeGiS feasibility study, is already being funded in the second funding phase by the “mFund” of the Federal Ministry of Transport and Digital Infrastructure .

Project approach

The idea of FeGiS is of road users from all over Germany via crowdsourcing (on the website gefahrenstellen.de match) reported danger points on the road with other data sources such as official accident data and transaction data from cars and smartphones. Together with an analysis of this data, dangerous spots should be identified at an early stage. The positions are weighted using a rating ("danger score").

On the one hand, this information should flow into intelligent applications in traffic that warn of danger spots in good time and indicate safe routes for roads , bike paths and footpaths . On the other hand, this continuously updated data is to be summarized on a platform and made available to stakeholders such as municipalities , police authorities , research institutions, engineering offices for traffic planning , navigation providers and automobile manufacturers for traffic safety and prevention work throughout Germany. Uniform data formats and automated interfaces for the various data sources and guidelines for data protection should be defined so that the data can be regularly updated . FeGiS wants to create a new database for current information about danger spots and thus make an important contribution to more safety on the roads in Germany.

background

While the number of road deaths was steadily decreasing up to 2010, the number of accidents and injuries has risen again since then. Reasons for this can be found, for example, in increased traffic, stress in everyday life or distraction. Dangerous situations are often not properly assessed or recognized too late.

The early detection of danger spots can prevent accidents by warning road users in good time or by removing the danger spot.

Previous successes

In the feasibility study (1st funding phase) funded by the “mFund” of the Federal Ministry of Transport and Digital Infrastructure, the crowdsourcing platform “gefahrenstellen.de” developed by the Initiative for Safer Roads was used in cooperation with the Institute for Roads at RWTH Aachen University (ISAC ) successfully tested in the years 2017 to 2018. The focus was on the cities of Bonn and Aachen . Due to the extensive reporting in daily newspapers, online portals, radio and TV, a total of 1,500 hazard reports with around 3,500 supporters were generated for the two cities over a period of around 6 months. A subsequent research analysis by RWTH Aachen confirmed the high validity of the hazard reports. In addition to the identification of known accident black spots , the road users also reported danger spots that had not yet been noticed by accidents, but showed a high risk potential during site inspections. This form of crowdsourcing was thus confirmed as a method for the early detection of danger spots, so that it was decided to continue the project with an expanded project approach.

The project consortium

Since the FeGiS feasibility study, the Initiative for Safer Roads has been working as a joint coordinator with the Institute for Roads at RWTH Aachen University (ISAC). For the further development within the framework of FeGiS +, the German Police University - Department of Traffic Science & Traffic Psychology , PTV Planning Transport Verkehr AG and DTV-Verkehrsconsult GmbH complement the project consortium .

Further development to FeGiS +

As part of the current development stage, the project approach described above is being pushed forward. In particular, it is a matter of comparing the data from the different sources and processing them as “ smart data ” for the various user groups of FeGiS +. The experience and know-how of the consortium members will play an important role in the further elaboration. In addition, FeGiS + is intended to create a new database for current information about danger spots, which can also be used in this or a similar way in other countries. As part of the research project, the applicability of the approach in neighboring European countries will be examined. The European Commission has under the strategy ' Vision Zero detained "(no road deaths) proactive detection and evaluation of danger points on the road as an important task for the European Road Safety Policy Framework 2021-2030.

Web links

Individual evidence

  1. ↑ a b Project description and results: Early detection of danger spots in road traffic - FeGiS. In: website. Federal Ministry of Transport and Digital Infrastructure, accessed on November 8, 2019 .
  2. ↑ Federal Highway Research Institute (BASt): Traffic and Accident Data 2018. In: BASt website. Retrieved November 8, 2019 .
  3. ↑ Sabrina Bauer: More than 4000 accidents in Bonn: App from Bonn brothers to warn of danger spots. General-Anzeiger Bonn, April 28, 2018, accessed on November 5, 2019 .
  4. ^ Georg Müller-Sieczkarek: Aachen: Warn about risky spots in traffic with an app. Aachener Zeitung, June 12, 2018, accessed on November 5, 2019 .
  5. ↑ Annika Kasties and Hannah Offermanns: Safety in road traffic: Online users identify 250 danger spots in Aachen. In: newspaper article. Aachener Nachrichten, March 26, 2019, accessed on November 8, 2019 .
  6. ↑ This is how the RWTH App "Hazard spots.de" works. In: Short video YouTube. Zeitungsverlag Aachen, June 12, 2018, accessed on November 5, 2019 (German).
  7. ↑ New digital hazard map - also usable for cyclists - ADFC NRW - KV Bonn / Rhein-Sieg. In: website. adfc - KV Bonn / Rhein-Sieg, May 28, 2018, accessed on November 8, 2019 .
  8. ↑ Project description: Early detection of danger spots in road traffic using Smart Data - FeGiS +. In: website. Federal Ministry of Transport and Digital Infrastructure, accessed on November 8, 2019 .
  9. ↑ European Commission: EU Road Safety Policy Framework 2021-2030. In: European Commission website. Retrieved December 13, 2019 .