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RWIS

In today's world, safe and efficient road operations depend on accurate and localized weather intelligence. Rapid changes in weather conditions can directly impact road safety, traffic flow, and maintenance efficiency. Without timely and reliable data, road operators are forced to rely on forecasts rather than actual conditions. Our advanced IoT sensors for RWIS provide real time insight into road and atmospheric conditions. This enables proactive decision making, improved road safety, and optimized winter and weather related maintenance. 

Sensing Metrics



Key IoT Sensor Metrics for RWIS

Our IoT sensors continuously monitor the most critical parameters used within Road Weather Information Systems.

Road Surface Temperature
Road surface temperature is one of the most important indicators for icing and frost risk. Accurate measurement allows road authorities to detect hazardous conditions and take preventive action before problems occur.

Air Temperature
Air temperature influences how quickly road surfaces cool or warm. Monitoring air temperature supports short term forecasting and helps anticipate changing road conditions.

Relative Humidity
Relative humidity affects moisture formation and evaporation on road surfaces. High humidity combined with low temperatures increases the risk of condensation and ice formation.

Dew Point Temperature
Dew point temperature indicates when moisture in the air may condense or freeze on the road surface. Tracking dew point enables early prediction of frost and black ice conditions.

Smarter Road Management with Real Time RWIS Data

By combining road surface temperature, air temperature, humidity, and dew point measurements, RWIS solutions deliver a complete and accurate picture of real world road conditions. This enables faster responses, safer travel, and more efficient road maintenance strategies.

Surface, Air, Dew point Temperature Relative Humidity

High-Precision Winter Road Maintenance Sensor Range: From -40 to 70°C (-40 to 160°F) Accuracy: From -40 to 60°C (±0.5°C) Note: Accuracy is temperature dependent. The quoted accuracy is against a blackbody source within the ambient temperature range of -20 to 50°C and object temperature range of -40 to 60°C. Resolution: ±0.01°C Air Temperature Range: From -40 to 70°C (-40 to 160°F) Accuracy: ±0.4°C Note:  Inaccuracy can be higher under moderate-to-high solar radiation. Resolution: ±0.01°C Relative Humidity Range: From 0 to 100 % Resolution: 0.1 % Accuracy: < ±3 % or better Dew Point Temperature (Calculated) Range: From -40 to 70°C (-40 to 160°F) Accuracy: ±1.0 °C (-35 to 50 °C) Note: The calculated dew point temperature is found from Tetens' equation solved for dew point with coefficients optimized for the temperature range -35 to 50°C. Resolution: 0.1°C LoRaWAN® class A 2 C alkaline batteries

4,886.53 €

    Benefits of IoT Sensors for RWIS

    Improved Road Safety
    Real time RWIS data enables early detection of hazardous conditions, reducing accident risk and improving driver safety.

    Proactive Maintenance Operations
    Accurate measurements allow for timely and targeted actions such as salting or de icing, rather than reactive responses.

    Lower Operational Costs
    Condition based maintenance reduces unnecessary use of materials, equipment, and labor, resulting in significant cost savings.

    Higher Service Levels
    Reliable road condition data helps maintain road availability and reduces weather related disruptions and closures.

    Data Driven Decision Making
    Continuous monitoring provides objective data to support operational decisions, reporting, and long term infrastructure planning.

    Foundation for Smart Transportation
    RWIS data plays a key role in intelligent transportation systems and smart mobility initiatives.

    Accurate road weather data enables proactive decisions. Monitor conditions in real time and keep roads safe under all weather conditions.

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