In the last ten years, it was observed that the continuous upgrades in mobile device's
technology have increased and demonstrated their great potential in various learning …

Scientific advances build on reproducible researches which need publicly available
benchmark data sets. The computer vision and speech recognition communities have led …

Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

The amount of useful information that can be extracted from travel diaries is matched by the
difficulty of obtaining travel diaries in a modern era where the response rate to traditional …

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 …

Global Positioning System (GPS) trajectory data can be used to infer transportation modes at
certain times and locations. Such data have important applications in many transportation …

Trip purpose is crucial to travel behavior modeling and travel demand estimation for
transportation planning and investment decisions. However, the spatial-temporal complexity …

Travel modes are generally derived from Global Positioning System (GPS) data on the basis
of either a rule-based or machine learning classification method. The rule-based …

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 …

Making applications aware of the mobility experienced by the user can open the door to a
wide range of novel services in different use-cases, from smart parking to vehicular traffic …