A recent White Paper on urban traffic and congestion has been released with some fascinating insights. Several researchers operating out of Seattle have used data from Seattle’s Department of Transportation and others to test out actual congestion in urban areas, and show that the probability of a blockface being full is a better metric for traffic guidance and urban planning than average occupancy rate, which is currently widely used by cities. The full study can be read here.

Streetline’s parking guidance algorithm also relies on the probability of blockfaces being full, as that is ultimately the best way to immediately guide motorists to their destination. In large downtown areas, a few blocks with very high occupancy rates can skew the results of the larger neighborhood, while a few blocks with low occupancy can skew the results in different areas. Whether or not a blockface is completely full helps provide a much more detailed view of a city’s parking system.

High accuracy requires that smart parking companies incorporate best practice research like that conducted here to serve the communities they work with.