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Friday, March 13, 2026

Analyzing the Crash Probabilities for Intersections

Topic and Goal of the Thesis

Automated driving is intended to make traffic safer. This must be investigated during the development of new driving functions. Both accident scenarios and regular scenarios are considered. Since these usually come from different data sets, the actual ratio of accident scenarios to regular scenarios is not given. This must be determined in order to enable a holistic safety assessment.

Working Points

  • Literature research on safety impact assessment for automated driving and driving scenarios in this context
  • Analysis of traffic counting station data and accident data in conjunction with OpenStreetMap data
  • Design and implementation of the methodology and exemplary application to an intersection scenario
  • Documentation of the results

Requirements

  • Good English or German language skills
  • Reliability, commitment and enjoyment of working independently
  • Experience with Python

Note: Please attach brief resume and grade summary.

Contact

Marcel Sonntag M.Sc.
Group Leader Safety Assurance and Effectiveness
+49 241 80-26714
Email

Type of work

Bachelorarbeit

Start

Earliest possible date

Prior knowledge

Basic Python

Language

Deutsch, Englisch

Research area

Fahrzeugintelligenz & Automatisiertes Fahren

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