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 …

Blockchain has the potential to render the transaction of information more secure and
transparent. Nowadays, transportation data are shared across multiple entities using …

Background Although people and smartphones have become almost inseparable,
especially during travel, smartphones still represent a small fraction of a complex multi …

We develop ensemble convolutional neural networks (CNNs) to classify the transportation
mode of trip data collected as part of a large-scale smartphone travel survey in Montreal …

Mobile device location data (MDLD) have been widely recognized for their rich human
mobility information and thus considered as a supplementary data source for the current …

Background Accurately quantifying people's out-of-home environmental exposure is
important for identifying disease risk factors. Several activity space-based exposure …

With the advent of smartphones and their ability to know their own location, there is an
enormous potential to collect location data for many purposes, including travel-related …

Semantic place annotation can provide individual semantics, greatly helping the field of
trajectory data mining. Most existing methods rely on annotated or external data and require …

The problem of stop detection is at the base of many current and upcoming smartphone-
based travel survey technologies and directly impacts the quality of many downstream …

In recent years, and especially since the development of the smartphone, enormous
amounts of data relevant for transportation have become available. These data hold out the …