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Know where congestion is forming, where safety issues are hiding, and where signal timing changes will have the most impact.
Traffic operationsReal-time traffic data to identify and reduce congestion across your network before it becomes a complaint.Transportation planningData-driven analysis to support every infrastructure planning and policy decision.Road safetyPinpoint where speed violations and safety issues are concentrated on your network ranked and ready to act on.Volume estimationAccurate traffic volume estimates across your network without the cost of manual counts.
Common questions
What are the different ways to collect traffic data?
Traffic data collection falls into three categories: 1) Manual studies (traffic counts, license plate surveys) provide precise measurements but are short-duration and labour-intensive. 2) Sensor-based collection (radar, Bluetooth/Wi-Fi, loop detectors) enables continuous monitoring at fixed locations. 3) Network-scale mobility data (floating car data, mobile device signals) provides coverage across entire road networks with no hardware required.
What is probe data?
Probe data, also called Floating Car Data (FCD), is traffic data generated by GPS-enabled vehicles and mobile devices on the road. Because it is continuously collected, it supports both near-real-time monitoring and multi-year historical analysis, with no prior sensor deployment required.
What metrics does probe data provide?
Probe data produces speed, travel time, origin-destination flows, and volume estimates across an entire road network. Speed, travel time, and OD data are derived directly from observed GPS traces. Volume estimates are modelled by scaling the observed sample to represent total traffic.
How accurate is probe data?
There is no single accuracy figure. Accuracy varies by metric and purpose, and must be verified consistently. Speed, travel time, and origin-destination data are directly observed from GPS traces and tend to be the most reliable. Volume estimates are modelled from sample data, which introduces additional uncertainty.
How accurate are probe-based volume estimates?
Unlike speed and travel time, which are directly observed from GPS traces, volume estimates are modelled from sample data. Accuracy depends on sample penetration and whether the model has been calibrated against local ground-truth counts. SMATS addresses this by validating estimates against local count data for each geography, with calibration maintained continuously rather than applied once.
Built by traffic engineers. Shared through insight.
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Meet iNode, Your traffic intelligence platform
A unified platform for traffic operations, planning, and safety replace actionable traffic insights with Actionable Traffic Metrics. Multiple traffic data sources feed into the iNode Platform which processes, fuses, and delivers actionable intelligence in real time.
Probe vehicle dataSensor data
Your data
Traffic & sensor data inputs
iNode
Unified platform
Actionable traffic metrics
Travel time
Wait time
Delay
Speed
Volume
ATSPMOrigin-destination
Queue length
Data sources
Probe vehicle data
Sensor data
Your data
iNode
Unified platform
Intelligence
Travel time
Wait time
Delay
Speed
Volume
ATSPM
Origin-destination
Queue length
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