With the development of smartphones and portable GPS devices, large-scale, high-
resolution GPS data can be collected. Map matching is a critical step in studying vehicle …

Data matching is one of the fundamental measures that helps make different data sets
interoperable. This thesis is devoted to a new contextual matching approach for road …

Location-aware computing systems implementation has the challenge of maintaining its
consistency due to frequent disconnections in the mobile environment. Many other exciting …

The map matching method gets simpler with higher precision positioning systems, but
because the positioning framework is still not sufficiently precise or too costly for marginal …

Map-matching algorithms aim at establishing a vehicle location on a road segment based on
positioning data from a variety of sensors: GPS receivers, WiFi or cellular radios. They are …

The increasing availability of historical floating car data (FCD) represents a relevant chance
to improve the accuracy of model‐based traffic forecasting systems. A more precise …

Despite its application in many fields, map matching in studies of travel/transport geography
is unique in two aspects: 1) The correct road links traversed by the traveler need to be …

Map Matching is a well-established problem which deals with map** raw time stamped
location traces to edges of road network graph. Location data traces may be from devices …

Devices that offer positioning and route guidance depend on updated digital maps for
correct functioning. Updating digital maps is a highly expensive and complex process so it …

The problem of map matching appears when evaluating GPS-tracks recorded by service
vehicles, and utilizing GPS-information in graphs suitable for route optimization. The task is …