Current navigation systems/services allow drivers to keep track of their precise whereabouts
and provide optimal routes to reach specified locations. A reliable map-matching algorithm …

Precise position information of moving entities on digital road networks is a vital requirement
of location-based applications. Location information received from Global Positioning …

Map-matching algorithms integrate positioning data with spatial road network data (roadway
centrelines) to identify the correct link on which a vehicle is travelling and to determine the …

Map-matching algorithms that utilise road segment connectivity along with other data (ie
position, speed and heading) in the process of map-matching are normally suitable for high …

Vehicular Ad Hoc Networks (VANETs) have the potential to enable the next-generation
Intelligent Transportation Systems (ITS). In ITS, data contributed by vehicles can build a …

Global Positioning System (GPS) localization has been attracting attention recently in
various areas, including intelligent transportation systems (ITSs), navigation systems, road …

Recent research on map matching algorithms for land vehicle navigation has been based
on either a conventional topological analysis or a probabilistic approach. The input to these …

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System
(or a number of other positioning sensors) with a spatial road map with the aim of identifying …

Travelling is a critical component of daily life. With new technology, personalized travel route
recommendations are possible and have become a new research area. A personalized …

We consider the problem of reconstructing vehicle trajectories from sparse sequences of
GPS points, for which the sampling interval is between 1 s and 2 min. We introduce a new …