Understanding people flow at a citywide level is critical for urban planning and commercial
development. Thanks to the ubiquity of human location tracking devices, many studies on …

Though GPS-based human trajectory data have been commonly used in travel surveys and
human mobility studies, missing data or data gaps that are intrinsically relevant to research …

The emergence of data-driven demand analysis has led to the increased use of generative
modelling to learn the probabilistic dependencies between random variables. Although their …

Tremendous volumes of messages on social media platforms provide supplementary traffic
information and encapsulate crowd wisdom for solving transportation problems. However …

This study presents a comprehensive framework for estimating passengers' transfer times
and extracting their distribution and related transfer routes using WIFI probe data. The …

Recently, the use of market segmentation techniques to promote sustainable transport has
significantly increased. Populations are segmented into meaningful groups that share …

Transport demand models are widely used to inform policy making and produce forecasts of
future demand. A core output derived from demand models is the Value of Travel Time …

Transportation infrastructure enables mobility in urban communities and impacts the
functionality of other infrastructure and services. Natural hazards can cause failures in a …

The rapid development of information and communication technologies, the availability of
various traveling information, and the wide use of social networks facilitate the selection of …

Improperly scheduled signal timing plans are one of the main reasons for reduced efficiency
of traffic signals at coordinated urban arterials. Recently, most urban arterial roads are …