Software platforms for smart cities: Concepts, requirements, challenges, and a unified reference architecture

EFZ Santana, AP Chaves, MA Gerosa, F Kon… - ACM Computing …, 2017 - dl.acm.org
Information and communication technologies (ICT) can be instrumental in progressing
towards smarter city environments, which improve city services, sustainability, and citizens' …

Survey of smart parking systems

MG Diaz Ogás, R Fabregat, S Aciar - Applied Sciences, 2020 - mdpi.com
The large number of vehicles constantly seeking access to congested areas in cities means
that finding a public parking place is often difficult and causes problems for drivers and …

A survey of smart parking solutions

T Lin, H Rivano, F Le Mouël - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
Considering the increase of urban population and traffic congestion, smart parking is always
a strategic issue to work on, not only in the research field, but also from economic interests …

Parking availability prediction for sensor-enabled car parks in smart cities

Y Zheng, S Rajasegarar… - 2015 IEEE tenth …, 2015 - ieeexplore.ieee.org
The growth in low-cost, low-power sensing and communication technologies is creating a
pervasive network infrastructure called the Internet of Things (IoT), which enables a wide …

Evolutionary deep learning for car park occupancy prediction in smart cities

A Camero, J Toutouh, DH Stolfi, E Alba - Learning and Intelligent …, 2019 - Springer
This study presents a new technique based on Deep Learning with Recurrent Neural
Networks to address the prediction of car park occupancy rate. This is an interesting problem …

[HTML][HTML] Smart occupancy detection for road traffic parking using deep extreme learning machine

SY Siddiqui, MA Khan, S Abbas, F Khan - Journal of King Saud University …, 2022 - Elsevier
Predicting the location of parking is a long-lasting problem that has ultimate importance in
our daily life. In this paper, artificial neural networks are used to predict the parking location …

Parking availability prediction with long short term memory model

W Shao, Y Zhang, B Guo, K Qin, J Chan… - Green, Pervasive, and …, 2019 - Springer
Traffic congestion causes heavily energy consumption, carbon dioxide emission and air
pollution in cities, which is usually created by cars searching on-street parking spaces …

Deep learning based parking prediction on cloud platform

J Li, J Li, H Zhang - 2018 4th International Conference on Big …, 2018 - ieeexplore.ieee.org
With the explosive growth of the urban population, an increasing number of cities face the
parking problem. Studies shows that more than 30% of the urban traffic is due to these" …

Improving parking availability information using deep learning techniques

J Arjona, MP Linares, J Casanovas-Garcia… - Transportation Research …, 2020 - Elsevier
Urban traffic currently affects the quality of life in cities and metropolitan areas as the
problem becomes ever more aggravated by parking issues: congestion increases due to …

Transferrable contextual feature clusters for parking occupancy prediction

W Shao, Y Zhang, P **ao, KK Qin, MS Rahaman… - Pervasive and Mobile …, 2024 - Elsevier
Recently, real-time parking availability prediction has attracted much attention since the
rapid development of sensor technologies and urbanisation. Most existing works have …