Case study / InfrastructureRoad asset modelling for a transit corridor

Mobile LiDAR became road asset intelligence.

Mobile LiDAR point clouds from a Mississauga transit corridor were converted into Metrolinx-aligned road asset models for infrastructure planning and maintenance.

01 Case snapshot

Operations became road asset intelligence.

12km
Transit corridor
140+
Asset classes
DGN
Engineering output

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.

Stage 01

Define

Align feature codes, symbology and Metrolinx delivery standards.

Stage 02

Extract

Model assets from high-density mobile LiDAR point clouds.

Stage 03

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.
04 Talk to us

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