In recent years, with the development of science and technology, people have more and
more choices for daily travel. However, assisting with various mobile intelligent services by …

The growing interest in utilizing smartphone sensors to differentiate various transportation
modes stems from its potential benefits across multiple sectors, including health monitoring …

Training deep neural networks often requires large-scale datasets, necessitating storage
and processing on cloud servers due to computational constraints. The procedures must …

Transportation mode recognition is of great importance in analyzing people's travel patterns
and planning urban roads. To make more accurate judgments on the transportation mode of …

In recent years, with the diversification of people's modes of transportation, a large amount of
traffic data is generated when people travel every day, and this data can help transportation …

Deep neural networks have revolutionized Machine Learning, completely reshaping several
domains of research in a mere decade. Domains like computer vision, for which deep …

Abstract Transport Mode Detection (TMD) is a classification problem where the goal is to
infer the transport mode of a user from GPS signals or inertial sensors, with applications …