Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey that was
field-tested in 2012 and 2013, together with the Household Interview Travel Survey (HITS) …

Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

The percentage of processed large-scale heterogeneous data is exploding and technology
is the most obvious reason for the big data issue. Nowadays, the results of data expansion …

The transportation mode such as walking, cycling or on a train denotes an important
characteristic of the mobile user's context. In this paper, we propose an approach to inferring …

This paper presents a data collection framework and its prototype application for personal
activity–travel surveys through the use of smartphone sensors. The core components of the …

The proliferation of mobile smart devices has led to a rapid increase of location-based
services, many of which are amassing large datasets of user trajectory information …

This paper attempts to identify the requirement and the development of machine learning-
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

Participatory phone sensing is a new sensing paradigm that asks volunteers to contribute
their phones' sensing capabilities and gather, analyze, and share local knowledge about …

Smart city initiatives rely on real-time measurements and data collected by a large number of
heterogenous physical sensors deployed throughout a city. Physical sensors, however, are …

Cities are undergoing huge shifts in technology and operations in recent days, and 'data
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …