Symbolic image Concept for Statistically Representative Traffic Observations

Concept for Statistically Representative Traffic Observations

The safety assessment of driving functions poses a key challenge on the way to highly automated driving. In the PEGASUS project, fka already participated in the development of a method for storing relevant features of traffic scenarios in a generic database. A follow-up research project covers the evidence-based derivation of basic scenarios for controlled-access highways. Data sources employed by fka in this context include accident data, field operational tests, driving simulator studies and in particular traffic observation using infrastructure sensors and drones. As all sources constitute just singular measurements, a complete acquisition of all traffic is not viable, though.

The goal of the BASt project (FE 82.0735/2019) “Concept for Statistically Representative Traffic Observations” is to develop a concept for the representative gathering of scenarios in traffic areas like federal highways as well as urban and rural areas. A sample taken on the basis of this concept can be used to derive statistically valid conclusions about the frequency of individual scenarios in the context of the traffic in total or a specific traffic domain. The result of this project constitutes a first approach for a proof of completeness and therefore is a central building block for an efficient and effective approval process of automated driving systems.


First, different approaches for scenario concepts aiming to structure and describe scenarios within the traffic domain are examined and a universal description is derived. The relevant traffic scenarios as well as the context factors influencing their characteristics and frequencies are identified. Statistical measurements of these factors’ frequencies facilitate the establishment of a methodology to generate sampling plans for the collection of representative scenarios and their subsequent extrapolation to the traffic in total. This methodology is to be analyzed and discussed in an upcoming expert workshop. Finally, an exemplary sampling plan is generated and realized to validate the concept.

Ihr Ansprechpartner

Your contact

[Foto: Adrian Zlocki]

Prof. Dr. Adrian Zlocki
Head of Automated Driving

This email address is being protected from spambots. You need JavaScript enabled to view it.
Telefon: +49 241 8861 219

This email address is being protected from spambots. You need JavaScript enabled to view it.
Phone: +49 241 8861 219

fka World of Research

Strategy Teaser
Strategy & Consulting | Dipl.-Kfm. Ingo Olschewski

Strategy Teaser

Exciting short studies on innovations and developments in the automotive industry by our experts from Strategy & Consulting.

Read more ...

[Foto: VW ID.3]
Continuous Bechmarking

VW ID.3 Benchmarking

fka & FEV Consulting launched the comprehensive benchmarking program.

Read more ...

[Image: Digitalization]
Strategy & Consulting | Dipl.-Kfm. Ingo Olschewski

Digitalization and new business models

The increasing digitalization is essential for many new functionalities like connected and automated driving, and is a major driver for new vehicle and interior concepts.

Read more ...

read more news

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.