Effective visualization plays a key role in comprehending a complex dataset such as traffic volume at the scale of a city. These unique visualizations depict the typical morning rush hour traffic volume and speed in Greater Toronto Region, Ontario, Canada.
These visualizations are driven by a traffic simulation that uses traffic counts taken at intersections to estimate incoming and outgoing traffic flow.
The width of dashed lines relate to traffic volume: thicker lines indicate more traffic. The colour of the dashed lines and rate of movement relate to traffic speed: green traffic is fast, amber is moderate, and red is slow. The dashed lines move in the direction of traffic flow, and individual lanes are represented.
We would like to thank Transportation Research Institute at the University of Toronto for providing us with raw data for this experiment.