| Abstract or description |
Artificial intelligence is providing new opportunities to gather data for municipalities and help inform future planning decisions. The Regional Municipality of York leveraged the services of Invision AI. for two transportation projects at a busy mobility hub in the Region, the Richmond Hill Centre Terminal.
The two projects included:
- Social Distancing/Mask Usage Pilot at various York Region Facilities
- In support of the Government of Canada’s fight against COVID-19, York Region participated in a pilot test of a privacy-preserving AI-based video solution sponsored by Innovative Solutions Canada. The test was conducted to collect crowd data in public spaces and assess physical distancing risk and compliance (e.g., hotspot and mask penetration, etc.) at three regional facilities, including the Richmond Hill Centre Terminal. This video technology was run on local hardware (edge) so that only anonymized detection metadata (trajectories of anonymized people and mask flags) were transmitted to the cloud and displayed on a Power BI dashboard. During the study, the proposed technology was able to pass all 7 tests, collect over 1.1 million anonymized people trajectories, and have an average of 96.5% uptime. The success of this pilot test allowed the Region to better understand and evaluate video detection technology that can be deployed to collect traffic counts and analyze travel patterns.
- Bike Rack Utilization at Richmond Hill Centre Terminal
- Richmond Hill Centre Terminal is a busy mobility hub providing transit connections for residents of the Region. It is also the home of the future terminus of the proposed Yonge Subway Extension which will transform the terminal and adjacent communities. As part of this work, the Region conducted a multi-modal behaviour study to better understand the movement of cyclists and bike paring utilization at the terminal and assess future planning needs for mobility hubs and beyond. The study can also be utilized to help inform future design recommendations by analyzing the movement of pedestrians and cyclists through the transit terminal to propose recommendations for new infrastructure or retro-fit existing infrastructure.
The technology utilizes a camera-based analysis to target the needs of the Region. The presentation will include results from both projects and how artificial intelligence has propelled the Region to new heights when planning for future transportation systems.
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