Investigation on road traffic safety in rural areas using trajectory data: case studies at two measurement sites

Authors

DOI:

https://doi.org/10.55329/ditw1500

Keywords:

behavior analysis, rural road, surrogate measure of safety, traffic safety, trajectory data

Abstract

Analyses of daily driving patterns and near misses offer valuable insights into road safety, particularly as crashes are expected to become increasingly rare. While research has largely focused on highway and urban environments, rural areas remain underexplored. This study addresses this gap by investigating traffic behavior with a specific focus on safety-relevant scenarios at two rural sites in Germany, located south of Berlin along the Federal Road 179.  We collected trajectory data and video material over a two-week observation period at each site. Although no accidents or critical conflicts were observed, several behavioral patterns emerged that may comprise traffic safety. Drivers frequently exceed the speed limits and engaged in overtaking maneuvers at intersections. Additionally, vehicles on the main road often yielded their right of way to avoid potential conflicts with turning traffic. The study further reveals that road users adapt their behavior to existing—yet underdeveloped—infrastructure, posing a potential safety risk. In particular, heavy vehicles such as trucks or motorhomes were observed making turns by crossing oncoming lanes, and vulnerable road users have to use the main road, coming into conflict with motorized traffic. These findings underscore the importance of targeted safety assessment and infrastructure improvements in rural traffic environment to reduce the potential of conflicts between different road users.

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Author Biographies

Lars Klitzke, German Aerospace Center (DLR), Germany

Lars Klitzke studied Computer Science (B. Sc.) and Industrial Informatics (M. Eng.) at the University of Applied Sciences Emden/Leer. He worked as Research Assistant at the University of Applied Sciences Emden/Leer from 2015 and joined the Institute for Transportation Systems at DLR in 2020. His research interest covers scenario-based representation of traffic data and big-data technology for scenario-based traffic analysis.

CRediT contribution: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing—original draft, Writing—review & editing.

Claudia Leschik, German Aerospace Center (DLR), Germany

Claudia Leschik studied Meteorology (M. Sc.) and works as a research associate at the Institute of Transportation Systems at the German Aerospace Center (DLR e. V.). Her research focuses on trajectory analysis and modelling general driving and cycling behavior and interaction behavior of vulnerable road users, mainly cyclists. She currently writes her doctoral thesis about bicycle-bicycle interaction behavior.

CRediT contribution: Conceptualization, Formal analysis, Investigation, Supervision, Validation, Writing—original draft, Writing—review & editing.

Richard Lüdtke, German Aerospace Center (DLR), Germany

Richard Lüdtke studied computer science (B. Sc.) and has been working as a system manager for a research facility at the Institute of Transport Systems at DLR since 2022. He provides the traffic data collected by the research facility and advises on the planning of campaigns.

CRediT contribution: Resources, Writing—original draft.

Kay Gimm, German Aerospace Center (DLR), Germany

Kay Gimm studied industrial engineering (M. Sc.) with a focus on traffic at the Technical University of Braunschweig. In 2014 he joined the Institute for Transportation Systems at DLR to investigate safety critical events based on naturalistic traffic data. Since 2017 he is leading a research group for “Modelling of traffic behavior”.

CRediT contribution: Conceptualization, Supervision, Writing—review & editing.

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Published

2025-12-05

How to Cite

Klitzke, L., Leschik, C., Lüdtke, R., & Gimm, K. (2025). Investigation on road traffic safety in rural areas using trajectory data: case studies at two measurement sites. Traffic Safety Research, 9, e000120. https://doi.org/10.55329/ditw1500