Mobile Mapping System Road Survey of M-539 Highway

Encompassing JPG images, LAS point cloud files, and geospatial location files captured by a Mobile Mapping System along the M-539 road. It was collected for the SIMGEOSEV project to study driver behavior and road design relationships. The data was acquired at a speed of 40 km/h using differential GNSS correction for precise georeferencing.

Use Cases

• Generate 3D road models from LAS point cloud files for infrastructure analysis.
• Analyze road geometry and design variables from georeferenced JPG images and SHP location files.
• Train computer vision models on JPG images for automated road feature detection and classification.
• Correlate driver simulator data with precise road positional information from the Delph INS report.

Strengths

• Data was captured using a Mobile Mapping System ensuring highly precise geometric and positional information.
• A differential GNSS correction method based on a local Mobile Base Station was applied for accurate georeferencing.
• Collection was conducted at a controlled speed of 40 km/h to ensure comprehensive coverage of the study section.

Limitations

• The dataset is limited to a single road section (M-539 outbound direction), restricting geographic generalizability.
• The specific volume of data (number of images, point clouds) is unknown, making it difficult to assess scale.
• Data formats and structures for files like the Delph INS report are not detailed, which may require specialized tools for processing.

Provenance

Source

Lopez-Cuervo, Serafin via e-cienciaDatos Harvested Dataverse.

Collection Method

Acquired using a Mobile Mapping System (MMS) along the M-539 road at 40 km/h, with differential GNSS correction.

Freshness

Last updated on 2026-02-22.

Geography

M-539 road (outbound direction).