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A 3D texture dataset of 27 km road
1Université Gustave Eiffel, Campus de Nantes, Allée des Ponts et Chaussées, 44340 Bouguenais, France.
Data in Brief
|March 5, 2021
Summary
This dataset provides detailed 3D road surface texture data for a 27 km route. It is ideal for testing numerical programs requiring accurate road surface topography inputs.
Area of Science:
- Geomatics Engineering
- Civil Engineering
- Transportation Engineering
Background:
- High-resolution 3D road surface data is crucial for accurate infrastructure modeling and simulation.
- Existing datasets may lack the required detail or comprehensive coverage for advanced numerical analysis.
Purpose of the Study:
- To present a novel dataset of 3D road surface texture.
- To provide essential input data for numerical programs simulating road conditions.
- To facilitate research in road surface analysis and modeling.
Main Methods:
- Data acquisition using the Harris2 vehicle equipped with LiDAR and PPS.
- Merging LiDAR and Road-Profile System data into 3D coordinates.
- Organizing data into 2658 text files, each representing a road section.
Main Results:
- A comprehensive 3D road surface texture dataset for a 27 km route.
- Data resolution of approximately 0.1 µm in longitudinal and transversal directions.
- Data presented in a regular grid format for ease of use.
Conclusions:
- The dataset is suitable for validating and testing numerical programs that utilize road surface topography.
- This resource supports advancements in road engineering and pavement management systems.
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