The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

Growing attention on the benefits of non-motorized travel has increased the demand for
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …

GPS trajectories serve as a significant data source for travel mode identification along with
the development of various GPS-enabled smart devices. However, such data directly …

Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …

Over the past decade, scientific studies have used the growing availability of large tracking
datasets to enhance our understanding of human mobility behavior. However, so far data …

Abstract The study of Transportation Mode Detection (TMD) has become a popular research
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …

Identifying travel modes from GPS tracks, as an essential technique to understand the travel
behavior of a population, has received widespread interest over the past decade. While …

The global positioning system (GPS) has motivated rapid advances in mobility data
collection. A massive amount of spatio-temporal information has made it possible to know …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Travel mode identification is among the key problems in transportation research. With the
gradual and rapid adoption of GPS-enabled smart devices in modern society, this task …