How intelligent are mass shooters



Road safety is currently facing several challenges. Road traffic is getting denser and more confusing. Above all, the increasing proportion of weak road users (Vulnerable Road Users - VRU) can be observed. Current figures show that especially those who drive e-bikes, e-scooters and pedelecs are often recognized too late by other road users and often incorrectly assess their driving skills themselves. This leads to a higher number of accidents, more critical situations and higher mortality. Another challenge is the increase in automation in road traffic, especially in the form of driver assistance systems (ADAS). Extensive tests are required to check and validate the benefits and applicability of newly developed ADAS. In order to adequately model a future simulation environment for testing ADAS, information about the real traffic situation and the actual behavior of the road users is required, which is currently often missing.

project goal

The aim of the project is to collect, analyze and evaluate aerial observation data on real traffic and accident situations. For this purpose, sufficient information on real traffic and accident occurrences at a selected accident blackspot should be recorded with the help of the project results. In this way, statements can be made for the future modeling of virtual simulations that are used to test ADAS. This goal is to be achieved by the end of the feasibility study. The focus is on ADAS, which protect VRU to a special degree. VRU are often more seriously injured in road traffic than, for example, car or truck drivers and at the same time cannot use FAS, or only to a limited extent, to better protect themselves in road traffic.


As part of the feasibility study, ARCADIA creates the basis for future holistic traffic and accident observations. The aim is to determine to what extent a holistic parameterization of real accidents including the relevant environmental parameters can take place in the future. This is intended to provide relevant information for the modeling of real simulation environments, which in turn could be used to learn new assistance systems.

Network coordinatorFraunhofer Institute for Traffic and Infrastructure Systems IVI Dresden
Project volume99.000 €
(of which € 99,000 in funding from the Federal Ministry of Transport and Digital Infrastructure)
Project duration01.02.2021 – 31.07.2021
Project partner-
Contact PersonDr. Christian Thomas pea flour
Email: [email protected]
Funding code01MM20009A