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Unlock Mobility Insights For Your City
Travel demand models, on-demand insights without the cost and limitations of counters and manual surveys
Effective urban transport planning requires accurate and timely mobility data. Traditional transport surveys are costly, slow, and biased—covering less than 1% of urban populations.
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In contrast, GPS-based smartphone mobility data, offers a more accurate and scalable solution, enabling precise tracking of traffic movement across the geography.
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Our machine learning models help analyze the raw mobility datasets and combine them with contextual data like the demographics, building, roadway & transit networks.
Large Sample Size
Covers ~15% of the population vs ~1% in manual surveys
High Spatial Resolution
High spatial resolution with analysis zones as small as ~0.5sqkm
High Accuracy and Reliability
High frequency passive data eliminated biases and human errors
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