Copenhagen opts for reliable bicycle and pedestrian data on the city’s busiest routes
Customer
City of Copenhagen
Solution
Platform
Context
Application
The challenge: measurement only really works if it holds up under pressure
Copenhagen is one of the most bicycle-friendly cities in the world. But in a city where cycling is the norm, this places high demands on the quality of mobility data. Thousands of cyclists and pedestrians pass through the busiest routes every day, often intermingling and moving quickly. Traditional measurement techniques quickly reach their limits in such locations: during high traffic volumes, mixed-use scenarios, and peak times, data quality deteriorates precisely when reliability is most critical.
Copenhagen also needed a data point that not only speaks for itself but can also serve as a reference for other data sources. Cities typically use multiple counting systems and data sources in parallel. When the quality of these varies, it leads to debate over which data should form the basis for analysis and policy. This is a problem the city wanted to resolve systematically.
The solution: Quanta as a standard reference on high-traffic corridors
MultiSensors’ Quanta systems have been installed along several busy bike routes and urban corridors in Copenhagen. The Quanta continuously collects data using radar and LiDAR, without the use of cameras or personally identifiable information. As a result, the solution immediately meets Copenhagen’s strict privacy requirements for data sources in public spaces.
It is precisely in locations where other systems fall short that the Quanta delivers stable and accurate data. The system distinguishes between cyclists and pedestrians, records direction, speed, and category, and does so continuously. Measurements remain reliable even during rush hour and at high traffic volumes. The measurement data is made available via the MyCycleTraffic platform, giving the municipality real-time insight into how routes are functioning.
“In areas where intensity, complexity, and policy significance converge, a consistent and reliable benchmark helps us make better-informed decisions more quickly.”
The result: a solid foundation for data-driven mobility policy
The data from MultiSensors is used in Copenhagen as a benchmark for other censuses and monitoring points. This has a direct impact on the quality of analyses: discrepancies in other data sources become apparent more quickly, trends can be assessed against a stable baseline, and policy decisions can be better substantiated.
Measurements are taken continuously, not as a sample but as an ongoing record. This also provides insight into how patterns evolve over time. How does traffic volume on a corridor change throughout the day, the week, or the season? These questions can now be answered with concrete data, enabling planners and policymakers to make more targeted decisions.
Copenhagen demonstrates what reliable mobility data truly offers in an urban context: not just accurate figures, but a solid foundation on which analyses, comparisons, and policies can be built.
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