[HTML][HTML] Big data for traffic estimation and prediction: a survey of data and tools

W Jiang, J Luo - Applied System Innovation, 2022 - mdpi.com
Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

Optimal policy-making for municipal waste management based on predictive model optimization

S Ahmad, N Iqbal, F Jamil, D Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Waste management is an issue of grave concern in the modern urban scenario with the
exponentially rising population. Over the past few decades, the Korean government has …

[HTML][HTML] A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future …

M Okmi, LY Por, TF Ang, W Al-Hussein, CS Ku - Sensors, 2023 - mdpi.com
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …

A semisupervised end-to-end framework for transportation mode detection by using gps-enabled sensing devices

Z Li, G Xiong, Z Wei, Y Lv, N Anwar… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
As an essential component of Internet of Things, GPS-enabled devices record tremendous
digital traces, which provide a great convenience for understanding human mobility. How to …

Toward data-driven digital therapeutics analytics: Literature review and research directions

U Lee, G Jung, EY Ma, J San Kim, H Kim… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
With the advent of digital therapeutics (DTx), the development of software as a medical
device (SaMD) for mobile and wearable devices has gained significant attention in recent …

[HTML][HTML] Mobile phone data: A survey of techniques, features, and applications

M Okmi, LY Por, TF Ang, CS Ku - Sensors, 2023 - mdpi.com
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …

Analysis of carbon dioxide emissions from road transport using taxi trips

M Ghahramani, F Pilla - IEEE Access, 2021 - ieeexplore.ieee.org
Transport emissions, including road, rail, air, and marine transportation, account for a large
part of the overall emissions; hence, there is a need to review strategies for managing …

[HTML][HTML] Leveraging artificial intelligence to analyze citizens' opinions on urban green space

M Ghahramani, NJ Galle, F Duarte, C Ratti… - City and Environment …, 2021 - Elsevier
Continued population growth and urbanization is shifting research to consider the quality of
urban green space over the quantity of these parks, woods, and wetlands. The quality of …

Intelligent geodemographic clustering based on neural network and particle swarm optimization

M Ghahramani, A O'Hagan, M Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Most of the techniques involved in customer clustering and segmentation are based on
conventional methods of quantitative analysis or traditional data mining approaches such as …

[HTML][HTML] Mobile phone data in urban commuting: A network community detection-based framework to unveil the spatial structure of commuting demand

Q Yu, W Li, D Yang, H Zhang - Journal of Advanced Transportation, 2020 - hindawi.com
As the outcomes of rapid urbanization, the spatial separation of homes and workplaces
extends the commuting distance and complicates the commuting demand of residents. To …