This Computer Science, graduate-level class investigated the traffic congestion issues in downtown Vancouver by targeting parking behaviour. Hunting for that perfect parking space causes more congestion than we think, which leads to increased driving time and greenhouse gas emissions. The students used artificial intelligence (AI) tools like deep learning, Google Maps simulated traffic data, and on and off street parking data to help the City of Vancouver and EasyPark better utilize the infrastructure they already have to increase parking efficiency. Parking has become a valuable and scarce resource in cities around the world, and evaluations like this help the City of Vancouver move closer to their Transportation 2040 goals.
View their presentation.
