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ROCA - An ArcGIS toolbox for road alignment identification and horizontal curve radii computation
Michal Bíl1, Richard Andrášik1, Jiří Sedoník1
1CDV-Transport Research Centre, Brno, Czech Republic.
Plos One
|December 27, 2018
Summary
The new ROCA software accurately analyzes road curvature, identifying hazardous curves. This tool aids in road safety by quantifying risks associated with specific road geometries.
Area of Science:
- Geographic Information Systems (GIS)
- Transportation Engineering
- Road Safety Analysis
Background:
- Road network data processing is crucial for transportation analysis.
- Automatic identification and analysis of road geometry, particularly horizontal curves, present significant challenges.
- Existing methods for road curvature analysis often lack accuracy and efficiency.
Purpose of the Study:
- To introduce the Road Curvature Analyst (ROCA) software for automated road geometry analysis.
- To segment road networks into tangents and curves, calculating geometric characteristics.
- To assess the relationship between road curvature and crash risk.
Main Methods:
- Development of ROCA as an ESRI ArcGIS Toolbox for vector line data processing.
- Utilizing a naïve Bayes classifier for horizontal curve identification, with user-trainable data.
- Application to 9,980 km of secondary roads in the Czech Republic.
Main Results:
- ROCA processed 9,980 km of road data in under ten minutes, identifying 42,752 horizontal curves (43% of the network).
- The software achieved a 26% improvement in correctly identified curves compared to existing automatic methods.
- Analysis revealed that curves with a 50m radius are 3.7 times more hazardous than those with a 1000m radius.
Conclusions:
- ROCA software provides an accurate and efficient method for road curvature analysis.
- The findings highlight the significant safety risks associated with sharp horizontal curves.
- ROCA software is available for non-commercial use, promoting advancements in road safety research and practice.
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