With the widespread deployment of built-in Global Positioning System (GPS) devices,
numerous volumes of driving trajectories can be recorded conveniently. Affected by GPS …

Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …

Map matching is a fundamental research topic with the objective of aligning GPS trajectories
to paths on the road network. However, existing models fail to achieve satisfactory …

Analyzing freight vehicle movements using GPS trajectory data presents challenges due to
environmental conditions and hardware limitations impacting data accuracy. Map matching …

GPS (Global Positioning System) trajectories with low sampling rates are prevalent in many
applications. However, current map matching methods do not perform well for low-sampling …

Aiming at the problems of low matching accuracy and slow matching speed of high-
frequency trajectory data in complex urban road networks, this paper proposes a matching …

Map‐matching, an important preprocessing task in many location‐based services (LBS),
projects each point of the global positioning system (GPS) within a trajectory dataset onto a …

Recent years have witnessed unprecedented amounts of data generated by
telecommunication (Telco) cellular networks. For example, measurement records (MRs) are …

Recent years have witnessed the fast growth in telecommunication (Telco) techniques from
2G to upcoming 5G. Precise outdoor localization is important for Telco operators to manage …

In view of the incapability of traditional methods to efficiently process massive trajectory data,
an improved HMM (hidden-Markov model) map matching algorithm is proposed. Spatial …