Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …

Traffic congestion is a significant problem affecting the sustainable development of urban
traffic. It is important to analyze the congestion and forecast future traffic models to prevent …

OpenStreetMap offers a valuable source of worldwide geospatial data useful to urban
researchers. This study uses the OSMnx software to automatically download and analyze …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

The problem of formulating solutions immediately and comparing them rapidly for billboard
placements has plagued advertising planners for a long time, owing to the lack of efficient …

Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …

In this paper, we propose a visualization method for driving behavior that helps people to
recognize distinctive driving behavior patterns in continuous driving behavior data. Driving …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Intelligent Transportation Systems are an important enabler for the smart cities paradigm.
Currently, such systems generate massive amounts of granular data that can be analyzed to …