[HTML][HTML] Leveraging intelligent transportation systems and smart vehicles using crowdsourcing: An overview

MC Lucic, X Wan, H Ghazzai, Y Massoud - Smart Cities, 2020 - mdpi.com
The current and expected future proliferation of mobile and embedded technology provides
unique opportunities for crowdsourcing platforms to gather more user data for making data …

[HTML][HTML] Smart cities and urban energy planning: an advanced review of promises and challenges

S Esfandi, S Tayebi, J Byrne, J Taminiau, G Giyahchi… - Smart Cities, 2024 - mdpi.com
This review explores the relationship between urban energy planning and smart city
evolution, addressing three primary questions: How has research on smart cities and urban …

Traffic jam probability estimation based on blockchain and deep neural networks

V Hassija, V Gupta, S Garg… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The exponential surge in the number of vehicles on the road has aggravated the traffic
congestion problem across the globe. Several attempts have been made over the years to …

[HTML][HTML] A generic data-driven recommendation system for large-scale regular and ride-hailing taxi services

X Wan, H Ghazzai, Y Massoud - Electronics, 2020 - mdpi.com
Modern taxi services are usually classified into two major categories: traditional taxicabs and
ride-hailing services. For both services, it is required to design highly efficient …

Smartphone data classification technique for detecting the usage of public or private transportation modes

P Castrogiovanni, E Fadda, G Perboli, A Rizzo - IEEE Access, 2020 - ieeexplore.ieee.org
One of the main endeavors of smart cities is the organization and subsidization of public
transportation. To achieve this, it is important to obtain information about the way in which …

Ridesharing and crowdsourcing for smart cities: technologies, paradigms and use cases

KP Seng, LM Ang, E Ngharamike, E Peter - IEEE Access, 2023 - ieeexplore.ieee.org
Recent technology developments and the numerous availabilities of mobile users, devices
and Internet technologies together with the growing focus on reducing traffic congestion and …

Empowering real-time traffic reporting systems with nlp-processed social media data

X Wan, MC Lucic, H Ghazzai… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Current urbanization trends are leading to heightened demand of smarter technologies to
facilitate a variety of applications in intelligent transportation systems. Automated …

Automated service discovery for social internet-of-things systems

A Khanfor, H Ghazzai, Y Yang… - … on Circuits and …, 2020 - ieeexplore.ieee.org
In this paper, we propose to design an automated service discovery process to allow mobile
crowdsourcing task requesters select a small set of devices out of a large-scale Internet-of …

[HTML][HTML] The Dark Side of Recruitment in Crowdsourcing: Ethics and Transparency in Micro-Task Marketplaces

H Xie, E Maddalena, R Qarout, A Checco - … Supported Cooperative Work …, 2023 - Springer
Micro-task crowdsourcing marketplaces like Figure Eight (F8) connect a large pool of
workers to employers through a single online platform, by aggregating multiple …

[HTML][HTML] Urban data dynamics: A systematic benchmarking framework to integrate crowdsourcing and smart cities' standardization

V Moustaka, A Maitis, A Vakali, LG Anthopoulos - Sustainability, 2021 - mdpi.com
Urbanization and knowledge economy have highly marked the new millennium.
Urbanization brings new challenges which can be addressed by the knowledge economy …