Transforming urban mobility through data-driven solutions for a safer, smarter, and more sustainable future.
Urban centers like Toronto face increasing pressure from growing populations, rising vehicle usage, and the urgent need for sustainability. Our mission is to analyze and optimize traffic flow to improve transportation efficiency, safety, and sustainability through innovative data-driven solutions.
Reduction in accidents with upgraded traffic signals
Reduction in severe crashes with roundabouts
Fewer collisions with automated enforcement
Analysis shows peak congestion Tuesday through Thursday, with moderate traffic on Saturdays and lowest volume on Sundays.
Pedestrian and cyclist activity peaks during weekdays, particularly during school and work commute hours.
Peak activity occurs between 8-10 AM and 3-7 PM, with the highest volume during the 5-6 PM rush hour.
Analysis of intersections with the highest volume of pedestrian and cyclist traffic.
Areas with the highest ratio of vulnerable road users to vehicles, indicating potential pedestrian zones.
AI-Driven Adaptive Smart Signals: Real-time pedestrian detection adjusts crossing times and optimizes vehicle flow.
Red-Light Guardian System: Prevents pedestrian-vehicle collisions by extending red lights when pedestrians are detected.
Smart Crosswalks with LED Alerts: Embedded LED crosswalks signal drivers and pedestrians in high-risk situations.
By implementing a predictive algorithm to determine collision factors, our system has demonstrated the potential for a 35% reduction in collision rates. This significant improvement is achieved through:
Collision Risk Reduction Analysis
Integrates with Toronto's existing SCATS system, making it a cost-effective and scalable solution.
Singapore's GLIDE system reduced pedestrian-vehicle collisions by 35%, demonstrating the effectiveness of this approach.
Uses AI & IoT sensors to analyze real-time traffic and pedestrian flow, ensuring safety measures are deployed where needed most.
Comprehensive traffic data collection from multiple sources including:
Advanced data analysis methods including:
Rigorous validation through:
Implementation of AI-driven smart signals at top 5 high-risk intersections
Installation of LED crosswalks and protected bike lanes
Integration of Red-Light Guardian System with existing infrastructure
Citywide rollout of complete Smart Pedestrian Protection System
Reduction in pedestrian-vehicle conflicts at smart intersections
Decrease in average wait times for all road users
Reduction in emissions from improved traffic flow
Increase in cyclist safety at protected intersections
Our solution contributes to Toronto's sustainability goals through: