Transport Mode Detection (TMD) is a crucial component in the field of Intelligent
Transportation Systems (ITS), taking advantage of current advancements in Artificial …

Ubiquitous and diverse sensors have enriched the transportation field with a multitude of
data types and substantial semantic knowledge, significantly advancing the development of …

Transport mode identification (TMI), which infers the travel modes of user trajectories, is
essential to facilitate an understanding of urban mobility patterns and passengers' choice …

The transportation system is the backbone of nation's economy and plays a vital role in the
environmental changes in the region. In order to make the transportation system more …

The knowledge of users' transport modes, eg, cars or buses, enables innovative
transportation services, such as automatic ticketing and navigation. A promising approach …

Transport mode detection is a classification problem aiming to design an algorithm that can
infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors). It …

Context-aware computing has become a certainty due to the widespread use of smartphone
devices equipped with sensors. A wide range of services, such as vehicular traffic …

The everyday use of means of transportation by millions of people combined with the
continuous spreading of smartphones which are now equipped with various sensors, imply …

Constructing and developing intelligent transportation is one of the requirements for smart
cities. Transportation mode detection is a prerequisite for many transportation structures and …

This paper reviews the works found in the literature in the field of Transportation Mode
Detection (TMD) which is a subfield of Activity Recognition aiming at indentifying (ie …