Mobile LiDAR point clouds from a Mississauga transit corridor were converted into Metrolinx-aligned road asset models for infrastructure planning and maintenance.
The challenge
The source data contained dense mobile LiDAR point clouds across a 12km corridor with more than 140 feature classes.
The output had to follow Metrolinx topographic standards and integrate with Inroads-compatible engineering workflows.
The approach
SBL defined the feature code list, symbology standards and extraction workflow before modelling began.
A specialist LiDAR team extracted road assets, validated vectors against the point cloud and delivered a compliant DGN spatial database.
Define
Align feature codes, symbology and Metrolinx delivery standards.
Extract
Model assets from high-density mobile LiDAR point clouds.
Deliver
Validate and package DGN outputs for engineering teams.
The result
The client received a detailed digital record of the corridor that could support maintenance planning and transit expansion.
- A 12km road corridor was modelled from mobile LiDAR data.
- More than 140 asset classes were extracted and standardized.
- Metrolinx symbology and engineering delivery requirements were met.
- The model created a reusable operating pattern for future corridor mapping.