floating car data
A method to determine the traffic speed on a road network by monitoring the geolocations of drivers' mobile phones.
floating car data: speed readings from moving phones
Floating car data (FCD) is traffic speed information collected by tracking the real-time positions of mobile phones carried by ordinary drivers as they move through a road network. Instead of relying on fixed sensors, loops, or cameras at specific points, FCD uses GPS or cellular location data from smartphones to build a continuous picture of how fast traffic is actually flowing across entire routes and regions.
The method works by aggregating anonymized location fixes from opted-in users at regular intervals, typically every 5 to 30 seconds depending on the system. Software calculates the distance traveled between successive fixes and derives average speed for each road segment. Because the data comes from vehicles distributed across the network rather than concentrated at one spot, it captures congestion patterns, bottlenecks, and speed variations that fixed-point sensors miss. A single road segment may receive updates from dozens of different phones in a single hour, allowing systems to detect changes within minutes rather than waiting for queue buildup at a sensor location.
FCD is typically gathered from navigation apps (which users actively consent to share location), taxi and delivery fleets with embedded telematics, or specialized probe vehicles operated by traffic data vendors. Some telecom operators also contribute anonymized cell location data. Coverage is densest in urban areas and on major routes where app adoption and commercial fleet density are highest; rural roads and secondary streets may have sparse or no FCD coverage. The quality of data depends heavily on GPS accuracy, update frequency, and the sheer number of active probes on a given road at a given time.
Traffic management centers, navigation platforms, and logistics operators use FCD to optimize signal timing, adjust routing recommendations, predict delays, and schedule deliveries. The approach is cheaper than deploying and maintaining thousands of fixed sensors and scales geographically without infrastructure investment. However, FCD cannot directly measure queue length, incident type, or occupancy. It also introduces privacy concerns despite anonymization, and coverage gaps mean that lightly traveled roads remain invisible to the system.
FCD is sometimes called probe data or GPS probe data when it comes explicitly from navigation instruments. The term floating car itself originated in German traffic research ("floating fahrer") in the 1990s and describes the notion of a vehicle floating through traffic and reporting its speed like a buoy reporting water conditions. The method has become a standard input to modern traffic information services alongside traditional loop detectors and camera-based systems.