Floating Car Data

See how your entire road network moves, in real time and over time

Smart traffic insights without sensors

Floating Car Data (FCD) offers a complete, sensor-free view of mobility across cities, regions, and corridors, all powered by GPS signals from in-vehicle navigation systems, navigation apps on mobile devices and fleet systems

We deliver unmatched visibility into live and historical traffic speeds, congestion, and traffic patterns, from freeways to residential streets.

Intelligence that scales across every network

What makes Floating Car Data powerful?

Full coverage: Freeways, arterials, collectors, locals
No hardware required: 100% infrastructure-free
Live + Historical: Second-by-second updates, up to 10 years back
High precision: Segment-level detail down to 100 feet

Over 60 billion GPS observations are collected daily, giving you a rich, continuously updated traffic dataset at city scale.

Why choose Floating Car Data + iNode?

Always-on, 24/7 data flow
Scalable pricing models
Integrates seamlessly with your in-house tools
Fills in the sensor-based data collection gaps
Privacy-safe: Aggregated, anonymized, compliant

Whether you’re planning future infrastructure, evaluating policies, or responding to real-time conditions, iNode gives you the visibility you need — fast, flexible, and cost-effective.

Live and historical data at your fingertips

Travel times and speeds

Provide live travel times, speeds, and delays along pre-defined routes or zones, providing real-time situational awareness for traffic operations and incident response.

Event/Incident detection

Deliver live reports of traffic incidents, including accidents, road closures, construction, and congestion, supported by map overlays and flexible integration options.

Intersection performance measures

Deliver real-time signal performance metrics, including split failures and Level of Service (LOS), to support signal optimization, with built-in archiving for historical trend analysis.

Origin-destination

Analyze trip patterns for OD flows, detecting modal shifts, and estimating travel demand. Gain the insights needed to plan infrastructure, optimize mobility, and support sustainable transportation choices.

Volumes

Get instant, segment-based volume estimates, including AADT for mid-block counts and intersection turning movement counts. Custom model calibration using local ground-truth data ensures results are accurate, consistent, and tailored to each network.

Road safety

Detect speeding hotspots and rank high-risk corridors to identify where interventions will have the greatest impact. Have insights to support data-driven planning and proactive measures that reduce collisions and improve roadway safety.

Travel times and speeds

Provide historical travel times, speeds, and delays along pre-defined routes or zones, providing real-time situational awareness for traffic operations and incident response.