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"creatinf a smarter toronto with smarteer transportation"
A holistic solution to one of the greatest problems in Canada - congestion.
Innovative ways to solve Toronto's traffic congestion, safety, and sustainability problems
Due to congestion in the Toronto area during the day, we have created a traffic navigator that helps everyday drivers find the most optimal route from one point to another using Dijkstra's algorithm.
Leveraging Reinforcement Learning To Reduce Traffic Congestion
Our solution revolves around a road fee based project to create a sustainable answer to the congested traffic in Toronto.
Introducing FLARE. A smart flex lane system using LEDs to automatically guide traffic based on real-time density. It reduces manual cone setup, optimizes traffic flow, and eases congestion in Toronto.
This project is a multi-step plan to reduce congestion in Downtown, Toronto. The four main initiatives are reducing congestion, innovating safety, improving sustainability, and enhancing bus systems.
Investigating solutions to the Toronto’s traffic congestion
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Traffic congestion is a significant issue in Toronto. Our solution focuses on improving construction to create a more efficient, pedestrian-friendly, and congestion-free city.
GTA is a carpooling app that reduces traffic, lowers emissions, and makes commuting easier. It connects users with nearby travelers on the same routes, optimizing rides with real-time traffic data.
Optimizing Toronto's Transportation for a Sustainable Future
This project is aimed at transforming Toronto’s transportation system into a smarter, more efficient, and environmentally friendly network.
Toronto’s bustling streets pose significant risks to pedestrians and cyclists. Our Smart Pedestrian Protection System (SPPS) leverages adaptive traffic signals to reduce collisions.
how to solve traffic congestion in toronto
No one likes to get into traffic, especially not in Toronto. By analyzing datasets through location, time, cars, pedestrians, and vehicles we came up with a solution.
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