In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

There is no doubt that the travel demand forecasting stage is the most crucial stage in any
transportation project, with the aim of improving existing facilities or establishing one from …

In this work, we present methods to estimate average daily origin–destination trips from
triangulated mobile phone records of millions of anonymized users. These records are first …

Rapid urbanization is placing increasing stress on already burdened transportation
infrastructure. Ubiquitous mobile computing and the massive data it generates presents new …

The transportation sector is currently experiencing a disruption with the introduction and
evolution of technology and transportation services such as bikesharing, carsharing, on …

This article compares three approaches to measuring transportation system performance
and discusses their effects on planning decisions. Traffic-based measurements (such as …

Handheld GPS provides a new technology to trace people's daily travels and has been
increasingly used for household travel surveys in major cities worldwide. However …

Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …

The combination of increasing challenges in administering household travel surveys and
advances in global positioning systems (GPS)/geographic information systems (GIS) …

Collection of travel data is a key task of transportation modeling. Data collection is currently
based on costly and time-intensive questionnaires, and can thus only provide limited cross …