AI Infrastructure Inventory & Planning

When: Spring 2025

* Dates are subject to change

Where: Virtual demonstration. 

Targeted area: Urban areas in Vaughan (TBC)

Ward: TBC

Project Partner

  • City of Vaughan • Infrastructure Planning and Corporate Asset Management – Active Transportation
  • City of Vaughan • Public Works – Transportation and Fleet Management Services (MoveSmart)  

Aerial Vision HD Mapping Solution

The City of Vaughan is committed to creating a walkable, bikeable and interconnected environment. By investing in safe and connected infrastructure for all modes of transportation, the City aims to provide viable active transportation options, accommodate micromobility users and free up road space for those who must drive to get to where they are going.

To effectively plan and maintain infrastructure projects, City staff need accurate and up-to-date imaging and asset data. Currently, infrastructure assessments rely on outdated aerial images and manual inspections, which can be time-consuming and resource intensive.

This demonstration, part of the OVIN Demonstration Zone, will assess how artificial intelligence can utilize high-definition imagery to take inventory of city assets, measure and identify inconsistency in public right of way and alert users of gaps and maintenance needs. This can effectively support City staff in projects involving design and implementation, active transportation, infrastructure inventory, and transportation planning. The demonstration will be operated remotely, with field inspections conducted for data verification.

Purpose:

The purpose of this demonstration is to evaluate the accuracy and effectiveness of using AI-driven tools to: 

  • Identify infrastructure gaps, such as sidewalks and cycling networks
  • Take inventory of infrastructure such as signages and pavement markings
Expected Outcomes:
  • A map that shows infrastructure gaps in accessibility of different networks and identifies opportunities for inter-network connections
  • Asset Inventory of signage and pavement markings

Company Description:

Waterloo, OntarioGeoMate, a leading location intelligence company, is transforming the landscape of geospatial data analytics with its advanced AI-driven mapping solutions. Dedicated to enhancing urban mobility, GeoMate provides a more accurate, scalable, and cost-effective alternative to traditional HD mapping methods.

For over five years, GeoMate has been at the forefront of geospatial innovation, developing an autonomous GIS data extraction system designed to map city transportation networks with unparalleled precision. By integrating high-resolution geospatial imagery with artificial intelligence, GeoMate delivers highly detailed HD maps tailored for autonomous driving (AD), advanced driver-assistance systems (ADAS), and urban planning.

GeoMate’s cutting-edge technology not only reduces the time and costs associated with map creation but also plays a crucial role in advancing smart mobility. Its solutions support cities and industries in building sustainable, connected, and automated transportation networks—paving the way for the future of mobility.