Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

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 …

The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

We present novel accelerometer-based techniques for accurate and fine-grained detection
of transportation modes on smartphones. The primary contributions of our work are an …

The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

As mobile phones advance in functionality and capability, they are being used for more than
just communication. Increasingly, these devices are being employed as instruments for …

Both recognizing human behavior and understanding a user's mobility from sensor data are
critical issues in ubiquitous computing systems. As a kind of user behavior, the …