The development of a trip distribution model requires a massive data collection task, such as
expensive travel surveys to identify trip makers' origin and destination zones. Intra-zonal …

Traditional approaches to trip generation modelling rely on household travel surveys which
are expensive and prone to reporting errors. On the other hand, mobile phone data, where …

ABSTRACT A method is presented in this work that integrates both emerging and mature
data sources to estimate the operational travel demand in fine spatial and temporal …

This paper explores the use of passively collected data on the location of mobile phones in
the development of external travel models, which capture trips to, from, and through an area …

Data on travel patterns and travel demand are an important input to today's traffic models
used for traffic planning. Traditionally, travel demand is modelled using census data, travel …

The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …

In this paper, mobile phone signaling data are first processed to extract information such as
the trip volume and spatial distribution from the starting point to the termination point. This …

Travelers today use technology that generates vast amounts of data at low cost. These data
could supplement most outputs of regional travel demand models. New analysis tools could …

This study demonstrates the use of mobile phone data to derive country-wide mobility
patterns. We identified significant locations of users such as home, work, and other based on …

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 …