We present a prototype mobile phone application that implements a novel transportation
mode detection algorithm. The application is designed to run in the background, and …

Urban planning and intelligent transportation management are facing key challenges in
today's ever more urbanized world. Providing the right tools to city planners is crucial to cope …

Smart cities have been recognized as a promising research focus around the world. To
realize smart cities, computation and utilization of big data are key factors. More specifically …

Due to the pervasiveness of mobile devices, a vast amount of geolocated data is generated,
which allows us to gain deep insight into human behavior. Among other data sources, the …

Much of our understanding of urban systems comes from traditional data collection methods
such as surveys by person or phone. These approaches can provide detailed information …

The advances in technologies and the popularity of the smart city concepts have led to an
increasing amount of digital data available for urban research, which in turn has led to urban …

The worldwide rollout of 4G LTE mobile communication networks has accelerated the
proliferation of the mobile Internet and spurred a new wave of mobile applications on …

Urban sensing is a foundation of urban computing, collecting data in cities through
ubiquitous computing techniques, eg using humans as sensors. In this paper, we propose a …

Understanding individual daily activity patterns is essential for travel demand management
and urban planning. This research introduces a new method to infer individuals' activities …

The advances in mobile computing and social networking services enable people to probe
the dynamics of a city. In this paper, we address the problem of detecting and describing …