A City Closes Its Data Collection Gaps and Improves Its Demand Model
When the pandemic hit, the City of Edmonton, Canada, was unable to run its annual traffic count program. Big Data ensured planners got an even more comprehensive picture of regional travel, with new insights they'd never had access to before.
StreetLight’s metrics helped Edmonton planners:
View the entire mobility landscape, gaining insight into short- and long-distance travel
Zero in on pandemic-driven shifts in traffic patterns
Obtain 4 years of historical data on demand to enable analysis and model validation
Include counts for low-volume roads in their model
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“Many Cities and MPOs do not have access to regular traffic counts on low-activity corridors such as local roads. StreetLight is a next-generation data source, offering a more comprehensive traffic picture than we’ve ever had before. The applications are endless.”
Sandeep Datla
Senior Transportation Modeling Engineer
Your biggest transportation challenges require better analytics
Origin-Destination for multiple modes
Granular, on-demand Metrics segmented by time of day and day of week
