Floating Car Data
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Filtering Hierarchies and Level of Detail
Filter-Refine Paradigm Filter and Refine Strategy
FIPS 173 Spatial Data Transfer Standard (SDTS)
FIPS PUB 173 Spatial Data Transfer Standard (SDTS)
321
Main Text The over-time-collected positional data component of FCD is referred to as vehicle tracking data. FCD can be obtained by tracking using either GPS devices or mobile phones. The latter type results in low-accuracy data. Depending on the collection method and data accuracy, more or less sophisticated map-matching algorithms have to be used to relate tracking data to a road network. In database terms, the tracking data can be modeled in terms of a trajectory, which is obtained by interpolating the position samples. Typically, linear interpolation is used as opposed to other methods, such as polynomial splines. The sampled positions then become the endpoints of line segments and the movement of an object is represented by an entire polyline in 3D space. FCD is a powerful means to assess traffic conditions in urban areas given that a large number of vehicles collect such data. Typical vehicle fleets comprise taxis, public transport vehicles, utility vehicles, but also private vehicles.
First Law of Geography Crime Mapping and Analysis
Cross References Dynamic Travel Time Maps Map-Matching
First-Order Logic with Constraints Queries Linear Versus Polynomial Constraint Databases
Recommended Reading 1. Schaefer, R.-P., Thiessenhusen, K.-U., Wagner, P.: A traffic information system by means of real-time floating-car data. In: Proc. ITS World Congress, Chicago (2002)
Fleet Management Routing Vehicles, Algorithms
Flocking Movement Patterns in Spatio-temporal Data
Floating Car Data D IETER P FOSER RA Computer Technology Institute, Athens, Greece
Folksonomy Uncertainty, Semantic
Synonyms Probe vehicle data; PVD; Vehicle tracking data Definition Floating car data (FCD) refers to using data generated by one vehicle as a sample to assess the overall traffic condition (“cork swimming in the river”). Typically this data comprises basic vehicle telemetry such as speed, direction and, most importantly, the position of the vehicle.
Footprint Retrieval Algorithms, Spatial
Format Geography Markup Language (GML)
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