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 …

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 …

In recent years, with the rapid development of public transportation, the ways people travel
has become more diversified and complicated. Transportation mode detection, as a …

Transportation mode detection (TMD), as an essential part of Intelligent Transportation
Systems, aims at analyzing human current transportation activities, and can be widely …

Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation
System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …

Detecting the transportation mode of an individual's everyday travel provides useful
information in urban design, real-time journey planning, and activity monitoring. In existing …

Abstract The study of Transportation Mode Detection (TMD) has become a popular research
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …

With the rapid development of mobile Internet techniques, using the sensor-rich
smartphones to sense various contexts attracts much attention, such as transportation mode …

Activity recognition and transportation mode detection are the key research areas for context-
aware systems. In smart environments such as cities, buildings, transportation systems etc …

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