Understanding and correctly modeling urban mobility is a crucial issue for the development
of smart cities. The estimation of individual trips from mobile phone positioning data (ie, call …

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 …

Mobile phone data are a rich source to infer all kinds of mobility-related information. In this
research, we present an approach where mobile phone data are used and analyzed for …

In transportation planning, estimating the movement of people between a set of origins and
destinations is a challenging task. This has been inferred in two way: from data on …

Mobile phone data are a new, unprecedented rich source to infer all kinds of mobility related
information. The possibilities of mobile data are tremendous, ie: crowd images, frequencies …

Creation of a trip distribution model necessitates a large amount of data collection, such as
costly travel surveys to determine trip makers' origin and destination zones. Intrazonal trips …

A tese propõe uma nova abordagem de planejamento do transporte interurbano,
considerando a integração dos diferentes modos de transportes voltados à mobilidade das …

RESUMO A mobilidade interurbana a partir de um olhar sistêmico e integrado é pouco
estudada no Brasil. Ela compreende os movimentos de pessoas entre cidades, com o …

This thesis contains an approach to do research on mobile connectivity data for the use in
traffic modeling, while such data is not available yet. It describes the generation of synthetic …

Improving the performance and efficiency of transport systems requires sound decision-
making supported by data and models. However, conducting travel surveys to facilitate …