❌ "We believe cycling has increased, but we can’t prove it"
Without continuous and objective data, it is impossible to quantify growth in bicycle usage, identify trends or justify evidence-based decisions.
Radar-based bicycle counting system for cities and smart mobility projects
Get accurate and objective data on bike lane usage with a radar-based bicycle counting system. Camera-free, privacy-friendly and designed for urban cycling infrastructure, this solution is widely used by cities, municipalities, engineering firms and technology integrators to analyze cyclist traffic, plan bike networks and make data-driven mobility decisions. Fast installation (under 1 hour) and reliable operation in all weather conditions, including rain and fog.
Without objective data on cycling infrastructure usage, technical and strategic decisions are often based on assumptions rather than facts. This affects cities, municipalities, engineering firms, consultants and technology integrators that require reliable data to plan, justify investments and assess the real impact of cycling and active mobility projects.
Without continuous and objective data, it is impossible to quantify growth in bicycle usage, identify trends or justify evidence-based decisions.
The lack of reliable metrics makes decision-making and budget approval more complex when expanding or improving bike lane networks.
Inductive loops and in-ground sensors require civil works, suffer frequent failures and generate high maintenance and replacement costs.
Occasional manual counts do not reflect real long-term cycling behavior and prevent reliable comparisons over time.
Without data on speed, direction of travel or hourly patterns, it is difficult to optimize the design and use of cycling infrastructure.
Optical or mechanical solutions fail in rain, dirt or low visibility, leading to data loss at critical times.
The uRAD Smart Radar Sensor is a professional solution designed to measure, analyze and understand real bike lane usage in urban and peri-urban environments. Widely used by cities, municipalities and mobility engineering teams, it leverages 60 GHz FMCW radar technology to continuously detect, count and classify cyclists with high accuracy, even in adverse weather conditions, without using cameras.
Unlike inductive loops or pneumatic systems, this solution is installed on existing poles or streetlights in under 60 minutes, without roadworks or traffic disruptions. This makes it an ideal alternative for cities, engineering firms and technology integrators seeking fast deployment and reliable bicycle traffic data.
The integrated processor analyzes radar signals in real time and supports data transmission via Wi-Fi, RS-485 or optional 4G, enabling seamless integration with Smart City platforms, municipal mobility systems, traffic management platforms and third-party solutions.
Why Are Cities, Public Authorities and Engineering Firms Choosing Radar Sensors Over Traditional Counting Methods?
| Comparison Criteria | uRAD FMCW Radar | Inductive Loops | Pneumatic Tubes | Optical Sensors |
|---|---|---|---|---|
| Installation | < 1 hour, no civil works | Days, pavement cutting required | Hours, temporary installation | Hours, calibration required |
| Privacy & Data Protection Compliance | No cameras or personal data | Yes | Yes | Risk of image capture |
| Operation in Rain | Yes, 24/7 operation | Yes | Risk of slippage | Interference issues |
| Nighttime Operation | Yes, no lighting required | Yes | Yes | Requires lighting or IR |
| Speed Measurement | Accurate and instantaneous | Not available | Approximate | Not available |
| Direction Detection | Yes | No | Yes | Model-dependent |
| Maintenance | Virtually maintenance-free | High (frequent failures) | Frequent replacement | Periodic cleaning |
| Service Life | 10+ years | 3–5 years | 1–2 years | 5–7 years |
| Total Cost of Ownership (TCO) | Lower in the long term | High (civil works). | Medium | Medium–high |
60 GHz FMCW radar technology does not rely on lighting or visibility. It operates reliably in rain, fog, snow and complete darkness, ensuring continuous and accurate data collection.
Installed on existing poles or streetlights in under one hour, with no pavement cutting or invasive interventions. This significantly reduces installation time and costs compared to traditional bicycle counting systems.
Optimized algorithms for bicycle detection deliver 99%+ accuracy under controlled and optimal configurations. Adjustable settings minimize interference from pedestrians or other vehicles.
RS-485, UART and opto-isolated GPIO interfaces enable seamless integration with ITS systems. Wi-Fi support for remote configuration and optional 4G connectivity allow direct data transmission to municipal and Smart City cloud platforms.
Typical power consumption ranges from 0.5 to 2.5 W, making the system suitable for solar-powered installations and locations with limited energy availability. Ideal for autonomous bicycle counting deployments.
No moving parts or components exposed to wear. IP66-rated enclosure for harsh environments and a service life exceeding 10 years, reducing the total cost of ownership.
The sensor emits FMCW radar signals in the 60–64 GHz band. Its 160° field of view covers the entire bike lane and reliably detects moving objects, regardless of lighting or visibility conditions.
The integrated processor analyzes the radar signal in real time and extracts key parameters such as speed, distance and direction of travel. The system can handle multiple cyclists simultaneously, ensuring accurate and continuous counting.
Each detected trip is recorded with a unique identifier. By analyzing the radar signature, the system accurately distinguishes bicycles from pedestrians and other vehicles, significantly reducing false positives. Optionally, GPIO outputs can be used to trigger signage or visual alerts.
Data is transmitted via RS-485, UART, Wi-Fi or optional 4G, depending on the project architecture. This enables seamless integration with Smart City platforms, ITS systems and custom dashboards to visualize bicycle counts, average speeds, hourly distributions and long-term trends.
Eight uRAD Smart Radar Sensors installed at strategic locations provide objective data for the planning, evaluation and optimization of urban cycling mobility.
Go Green Pamplona Strategy
The objective data obtained through the bicycle counting system enabled Pamplona City Council to make investment decisions in cycling infrastructure based on real demand and quantifiable evidence.
The same sensor can be configured for different mobility, urban safety and Smart City integration scenarios, making it a flexible solution for public authorities, engineering firms and technology integrators.
Bike lane–specific configuration designed to accurately measure bicycle flows and generate key metrics for mobility planning and analysis.
Urban-focused application designed to improve road safety by detecting pedestrian presence and approach in sensitive or high-risk areas.
Advanced configuration for road traffic measurement in urban and peri-urban environments, suitable for traffic studies and ITS integration.
The uRAD Smart Radar Sensor is not just a standalone product, but a technology platform designed to integrate into professional mobility, IoT and smart infrastructure architectures.
The sensor is designed as a professional, integrable component for Smart City platforms, ITS systems, custom dashboards and third-party solutions. It provides multiple physical interfaces and fully documented communication protocols to support custom integrations.
This architecture allows integrators and developers to build custom solutions on top of uRAD technology, ranging from mobility analytics platforms to dynamic urban signaling and traffic activation systems.
We design the complete solution for your bike lane: optimal site assessment, technical sizing, professional installation in under 1 hour, Wi-Fi configuration, and ongoing technical support. URAD Smart Radar FMCW 60 GHz sensor, specifically designed for bicycle lanes.