Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey

FD Salim, B Dong, M Ouf, Q Wang, I Pigliautile… - Building and …, 2020 - Elsevier
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …

Parking prediction in smart cities: A survey

X Xiao, Z Peng, Y Lin, Z Jin, W Shao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …

Hybrid spatial–temporal graph convolutional networks for on-street parking availability prediction

X Xiao, Z Jin, Y Hui, Y Xu, W Shao - Remote Sensing, 2021 - mdpi.com
With the development of sensors and of the Internet of Things (IoT), smart cities can provide
people with a variety of information for a more convenient life. Effective on-street parking …

Generalized parking occupancy analysis based on dilated convolutional neural network

S Nurullayev, SW Lee - Sensors, 2019 - mdpi.com
The importance of vacant parking space detection systems is increasing dramatically as the
avoidance of traffic congestion and the time-consuming process of searching an empty …

A survey of parking solutions for smart cities

M Aljohani, S Olariu, A Alali… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Existing surveys look at parking solutions from the perspective of sensors, communication
protocols, and the hardware-software interface. While this is a worthwhile approach, it …

A survey on smart parking systems in urban cities

H Zulfiqar, HM Ul Haque, F Tariq… - Concurrency and …, 2023 - Wiley Online Library
Parking vehicles in densely populated areas are often challenging, stressful, and sometimes
it becomes a monotonous job for the drivers in jam‐packed areas. There are several …

MePark: Using meters as sensors for citywide on-street parking availability prediction

D Zhao, C Ju, G Zhu, J Ning, D Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Real-time parking availability prediction is of great value to optimize the on-street parking
resource utilization and improve traffic conditions, while the expensive costs of the existing …

Value of incorporating geospatial information into the prediction of on-street parking occupancy–A case study

M Balmer, R Weibel, H Huang - Geo-spatial Information Science, 2021 - Taylor & Francis
In light of growing urban traffic, car parking becomes increasingly critical for cities to
manage. As a result, the prediction of parking occupancy has sparked significant research …

Research on parking recommendation methods considering travelers' decision behaviors and psychological characteristics

H Qin, N Xu, Y Zhang, Q Pang, Z Lu - Sustainability, 2023 - mdpi.com
Intelligent parking services can provide parking recommendations and reservations for
travelers. They are an effective method for solving the cruising for parking problems in big …

Spatiotemporal clustering of parking lots at the city level for efficiently sharing occupancy forecasting models

MK Mufida, A Ait El Cadi, T Delot, M Trépanier, D Zekri - Sensors, 2023 - mdpi.com
This study aims to address the challenge of developing accurate and efficient parking
occupancy forecasting models at the city level for autonomous vehicles. Although deep …