Toronto's rapid urbanization presented significant challenges in managing its environmental and security needs. Rising air pollution and climate-related risks, such as flooding and extreme weather events, highlighted the need for predictive models and improved preparedness. On the security front, increasing road congestion hindered emergency response, while crime hotspots lacked real-time, data-driven surveillance for proactive action. Additionally, fragmented data across traffic patterns, air quality, and crime metrics created barriers to developing effective, integrated city-wide strategies.
MetaWorldX developed the Toronto Digital Twin, a real-time simulation that integrates diverse datasets like traffic, air quality, and crime statistics. This platform provides actionable insights, enabling proactive risk management, improved emergency response, and sustainable urban planning.
The Toronto Digital Twin by MetaWorldX showcases how advanced technology can empower city planners to adopt sustainable strategies that address urban growth challenges while minimizing environmental and security risks. By enhancing urban security, improving environmental management, and elevating the overall quality of life, this model offers a transformative and scalable solution for cities worldwide.
Internal Project
Canada
Smart Cities
Completed (March 2023)