In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …

This paper reviews the activity-travel behaviour literature that employs Machine Learning
(ML) techniques for empirical analysis and modelling. Machine Learning algorithms, which …

Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

Passenger transportation is one of the primary sources of urban carbon emissions. Travel
data acquisition and appropriate emission inventory availability make estimating high …

The emergence of navigation applications with multi-modal trip planning services has
brought about the demand for the multi-modal transportation recommendation systems. In …

Identification of travelers' transportation modes is a fundamental step for various problems
that arise in the domain of transportation such as travel demand analysis, transport planning …

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 …

Transportation mode identification is fundamental for transportation planning and
management. With the popularization of ubiquitous GPS-enabled devices, leveraging …

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 …

GPS trajectories generated by moving objects provide researchers with an excellent
resource for revealing patterns of human activities. Relevant research based on GPS …