A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches

S Djahel, R Doolan, GM Muntean… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
The growing size of cities and increasing population mobility have determined a rapid
increase in the number of vehicles on the roads, which has resulted in many challenges for …

Smart parking: A literature review from the technological perspective

JJ Barriga, J Sulca, JL León, A Ulloa, D Portero… - Applied Sciences, 2019 - mdpi.com
The development and high growth of the Internet of Things (IoT) have improved quality of life
and strengthened different areas in society. Many cities worldwide are looking forward to …

Towards nearly zero-energy buildings: Smart energy management of vehicle-to-building (V2B) strategy and renewable energy sources

KY Lo, JH Yeoh, IYL Hsieh - Sustainable Cities and Society, 2023 - Elsevier
As countries worldwide strive for net-zero emissions, electric vehicles (EVs) have gained
significant momentum. EVs, particularly through Vehicle-to-Everything (V2X) technology …

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 occupancy prediction method based on multi factors and stacked GRU-LSTM

C Zeng, C Ma, K Wang, Z Cui - Ieee Access, 2022 - ieeexplore.ieee.org
With the development of society and the continuous advancement of urbanization, motor
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources

S Yang, W Ma, X Pi, S Qian - Transportation Research Part C: Emerging …, 2019 - Elsevier
A deep learning model is adopted for predicting block-level parking occupancy in real time.
The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial …

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 …

From smart parking towards autonomous valet parking: A survey, challenges and future Works

M Khalid, K Wang, N Aslam, Y Cao, N Ahmad… - Journal of Network and …, 2021 - Elsevier
Recently, we see an increasing number of vehicles coming into our lives, which makes
finding car parks a difficult task. To overcome this challenge, efficient and advanced parking …

Predicting vacant parking space availability: A DWT-Bi-LSTM model

C Zeng, C Ma, K Wang, Z Cui - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Accurate and efficient prediction of vacant parking space availability, despite its great
significance, is no easy a task. How to address the noise in the original data and how to …

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 …