In this modern era, many devices and sensors collect data with spatial and
temporalcharacteristics. This type of data is referred to as spatio-temporal data and can be …

This project consists of two research components. The objective of the first component is to
develop an approach to resample social media data in order to reduce biases and errors …

Louisiana Department of Transportation and Development (DOTD) requests that freeway
lanes should not be closed for construction work during hours when capacity exceeds 1,309 …

Geography is a crucial dimension of the social determinants of health. Higher resolution
data on individual movement and daily activity can offer insights into social and structural …

Event detection has been proved important in various applications, such as route selection
to avoid the congestion an event causes or deciding whether to join an event that one is …

Analysing unstructured data with minimal contextual information is a challenge faced in
spatial applications such as movement data. Movement data are sequences of time …

This study is devoted to ways of forming routes taking into account external natural and
artificial factors, and the perception of such factors by the traveler. The route is built based on …

Household travel survey data is a critical input to travel behavior modeling, and it also can
be used to generate trip chains for activity-based traffic simulation. However, traditional …

Abstract The GPS or Global Positioning System, is a system that aims to determine the
spatial coordinates of points with respect to a world reference system. These points are …

Increasingly widespread sensor networks collect sequences of numerical observations at
fixedlocations over time, and generate vast amounts of geo-referenced time series. Decision …