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Virtual Loops.
Real Insights.


All the functionality of inductive loops, reimagined with LiDAR. No digging, no downtime, just precise data.


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The Problem with Inductive Loops


Conventional inductive loops are costly to install and disruptive to maintain. Every repair means cutting into the road surface and interrupting traffic. Even when they work perfectly, they provide only limited data such as basic counts and classifications, without context about what actually happens on the road. Cities need a flexible, high-precision alternative that delivers richer insights without infrastructure work.

Our Approach

Flow Analytics introduces virtual loops powered by LiDAR sensing.

Out-of-ground sensing, installed directly on existing traffic lights, replaces traditional road-embedded loops with non-intrusive LiDAR detection. The system connects seamlessly to the intersection controller, delivering real-time data on vehicle movements, speeds, and interactions. It provides the same detection purpose as inductive loops while offering greater flexibility, richer insights, and effortless integration into existing traffic management infrastructure.

It tracks every vehicle and vulnerable road user in 3D space, providing counts, speeds, trajectories, and even near-miss events.

All detection zones and parameters are configurable through software, allowing layouts to evolve as intersection designs change. The system works with any controller, whether it belongs to an older generation or supports the latest ITS protocols. Our software adapts seamlessly to both, from mimicking traditional loops with more flexible and reliable detection zones to enabling full compatibility with advanced communication standards for next-generation traffic management.

Old Way vs. New Way

Old Way: Inductive Loops New Way: Virtual Loops by Flow Analytics
Installation Requires cutting the road surface and lane closures Mounted on existing poles, no roadworks needed
Maintenance Frequent repairs and traffic disruption Fully non-intrusive, remotely maintained
Flexibility Fixed position, difficult to relocate Detection zones redefined in software
Data Quality Basic counts and classifications only 3D data with speed, trajectories, and interaction analysis
Multimodal Detection Vehicles only Vehicles, cyclists, and pedestrians
Setup Time Days or weeks A few hours
Cost Efficiency High lifetime cost due to maintenance Lower total cost of ownership
Safety Insights Not available Near-miss and conflict detection included
Scalability Limited by physical installation Scalable and relocatable across intersections

Where Virtual Loops Make a Difference

road with assorted cars

Busy Roads and Intersections


High-traffic areas where inductive loops require frequent repairs and lane closures.  

Pedestrian Crossings and Multimodal Hubs

Locations that involve both vehicles and vulnerable road users, where comprehensive detection is essential.  

Construction Zones


Temporary layouts where physical loops cannot be installed or reused.

Outdoor and Harsh Environments


  Places exposed to heavy rain, snow, or frost where embedded loops often fail.

3 étapes simples vers des données trafic utiles

Évaluation

Utilisez notre outil de simulation pour évaluer les options de déploiement et anticiper les performances.

Déploiement

Installer la solution Flow Analytics, soit par votre équipe, soit avec l'aide de nos partenaires de confiance.

Accès aux données

Accédez aux données de circulation via notre tableau de bord intuitif.

Recent Virtual Loops Implementation

Flow Analytics by AGC has recently deployed LiDAR-based virtual loops in Jyväskylä, Finland, supporting the city in modernizing its traffic management infrastructure. The system provides precise vehicle detection and movement data at intersections, helping optimize signal control without roadworks or disruption. It can be integrated into existing traffic management systems, allowing cities to enhance performance and data accuracy without replacing their current infrastructure. This project demonstrates how virtual loops offer a non-intrusive, flexible, and data-rich alternative to traditional inductive loops.  

 

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