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

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.

Authors

Institutions

Publication Details

Journal
Traffic Safety Research
Published
2025-12-05
DOI
https://doi.org/10.55329/ditw1500
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Lars Klitzke, Kay Gimm, Claudia Leschik, Richard Lüdtke
Traffic Safety Research
Traffic and Road Safety
article

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

Lars Klitzke, Kay Gimm, Claudia Leschik, Richard Lüdtke
article en

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.

Traffic Safety ResearchVol. 9
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Openalex Percentile: Top 54%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.