With the widespread application of mobile phones, it has become possible to study human
mobility and travel behaviors based on cellular network data. Contrary to call detail records …

The widespread use of mobile phones has generated a large amount of individual trajectory
data. Such data can greatly help analyze and understand human daily travel behavior. In …

Human mobility modeling for either transportation system development or individual location
based services has a tangible impact on people's everyday experience. In recent years cell …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

The signaling data of cellular phones, as a passively generated, real-time, wide-coverage,
and low-cost data source, have been widely used in recent studies to understand human …

In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

Despite many studies on trip inference using call detail record (CDR) data, a fundamental
understanding of their limitations is lacking. In particular, because of the sparse nature of …

Activity-based travel demand models are becoming essential tools used in transportation
planning and regional development scenario evaluation. They describe travel itineraries of …

Individual human travel patterns captured by mobile phone data have been quantitatively
characterized by mathematical models, but the underlying activities which initiate the …

It has been gradually recognized that mobile phones can be used as a practical and
promising way to identify individual travel trajectories. Researchers have developed various …