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

Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

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 …

As more people rely on visualization to inform their personal and collective decisions,
researchers have focused on a broader range of audiences, including “novices.” But …

We present an interactive visual analytics system that enables traffic congestion exploration,
surveillance, and forecasting based on vehicle detector data. Through domain expert …

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 …

Smart city development plays an important role in achieving urban sustainability. This paper
uses mapping of knowledge domain (MKD) analysis to review 965 studies concerning smart …

Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge
for visualization and analysis. In this paper, we design and implement a novel visual …