Data Fusion
Providing estimates of traffic counts and speeds on road segments,
even at locations
without measuring equipment.
Traffic interpolation fuses different data sources into
one accurate source of traffic information.
Why you need to interpolate your traffic network
Fill in gaps in traffic knowledge (missing measurement locations) & provide global view of the past and current traffic situation
Identify congestions in your road network
Study the evolution of the traffic situation
Facilitate decision making
Provide in-depth studies of your road network and provide better insights (e.g. where is speed enforcement effective)
Revolutionize your traffic metrics
Macq’s traffic interpolation model represents a significant leap forward in understanding and managing road network conditions. This advanced tool is engineered to provide precise estimates of traffic counts and speeds, even in locations lacking direct measurement equipment. By utilizing state-of-the-art machine learning techniques, our model seamlessly integrates a diverse array of data sources—including traffic sensors, GPS systems, and historical records—to deliver a comprehensive and reliable view of traffic metrics.
A key advantage of Macq’s interpolation model is its ability to overcome Floating Car Data (FCD) limitations. While FCD provides speed and service level insights, it often lacks accurate vehicle volume and classification data. Macq’s model addresses these gaps by merging precise measurements from traffic equipment with FCD coverage, delivering accurate metrics by vehicle class across the entire road network.
Our solution is available in two versions to meet varying needs:
- Historic Traffic Metrics Interpolation: This offline model is ideal for obtaining comprehensive traffic data across the entire road network with limited resources. It's used for applications such as shadow tolling, long-term traffic analytics, roadwork planning, and strategic support for evaluating mobility policies.
- Real-Time Traffic Metric Interpolation: Designed for dynamic traffic monitoring, this model captures current traffic trends, though its accuracy is dependent on the availability and quality of source data.
Discover all details about our Forecasting Model and transform your traffic management approach today!
Get to know our Traffic Forecasting Model
Discover how the Macq traffic forecasting model delivers accurate predictions for traffic metrics, even on road segments without sensors, using advanced machine learning and data fusion.
M³ Mobility Manager
M³ can include all our home-made Solutions & Applications, adaptable to your specific needs.
Whatever you want to monitor, M³ can do it.
Get in touch!
Contact us to discover how our solutions can address your needs and advance your operations.