[HTML][HTML] Sensors for sustainable smart cities: A review

MA Ramírez-Moreno, S Keshtkar, DA Padilla-Reyes… - Applied Sciences, 2021 - mdpi.com
Experts confirm that 85% of the world's population is expected to live in cities by 2050.
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …

[HTML][HTML] A survey of urban visual analytics: Advances and future directions

Z Deng, D Weng, S Liu, Y Tian, M Xu, Y Wu - Computational Visual Media, 2023 - Springer
Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Visual analytics of mobility and transportation: State of the art and further research directions

G Andrienko, N Andrienko, W Chen… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
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 …

[HTML][HTML] Visualization of urban mobility data from intelligent transportation systems

T Sobral, T Galvão, J Borges - Sensors, 2019 - mdpi.com
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 …

Viewing visual analytics as model building

N Andrienko, T Lammarsch, G Andrienko… - Computer graphics …, 2018 - Wiley Online Library
To complement the currently existing definitions and conceptual frameworks of visual
analytics, which focus mainly on activities performed by analysts and types of techniques …

An ontology-based approach to knowledge-assisted integration and visualization of urban mobility data

T Sobral, T Galvão, J Borges - Expert Systems with Applications, 2020 - Elsevier
This paper proposes an ontology-based framework to support integration and visualization
of data from Intelligent Transportation Systems. These activities may be technically …

Discovering frequent movement paths from taxi trajectory data using spatially embedded networks and association rules

W Yu - IEEE Transactions on Intelligent Transportation …, 2018 - ieeexplore.ieee.org
In view of the complex traffic flows, spatial interactions within a city exhibit the properties of
dynamics, connectivity, and repeatability. This paper aims at mining spatial-temporal …

A visual analytics system for improving attention-based traffic forecasting models

S Jin, H Lee, C Park, H Chu, Y Tae… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
With deep learning (DL) outperforming conventional methods for different tasks, much effort
has been devoted to utilizing DL in various domains. Researchers and developers in the …

Towards road traffic management with forecasting on wall displays

A Prouzeau, A Bezerianos, O Chapuis - Proceedings of the 2016 ACM …, 2016 - dl.acm.org
Road traffic control centers are of vital importance to modern cities. Interviews with
controllers in two such centers identified the need to incorporate the visualization of results …

Intra-city traffic data visualization: A systematic literature review

A Clarinval, B Dumas - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The increasing proportion of people living in urban areas causes well-known mobility issues
such as pollution and congested roads. In addition to their heavy environmental impact …