On-street car parking prediction in smart city: A multi-source data analysis in sensor-cloud environment
Smart car parking systems in smart cities aim to provide high-quality services to their users.
The key to success for smart car parking systems is the ability to predict available car …
The key to success for smart car parking systems is the ability to predict available car …
[HTML][HTML] Multisource data integration and comparative analysis of machine learning models for on-street parking prediction
Searching for a free parking space can lead to traffic congestion, increasing fuel
consumption, and greenhouse gas pollution in urban areas. With an efficient parking …
consumption, and greenhouse gas pollution in urban areas. With an efficient parking …
A parking occupancy prediction approach based on spatial and temporal analysis
EHC Lu, CH Liao - Intelligent Information and Database Systems: 10th …, 2018 - Springer
It's very difficult to find an appropriate parking space in urban area, when drivers are near to
their destinations. The literature studies showed that 30% of the traffic congestion …
their destinations. The literature studies showed that 30% of the traffic congestion …
A deep learning approach to real-time parking availability prediction for smart cities
Nowadays, urban traffic affects the quality of life in cities and metropolitan areas as the
problem becomes ever more exacerbated by parking issues: congestion increases due to …
problem becomes ever more exacerbated by parking issues: congestion increases due to …
Parking availability prediction with long short term memory model
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 …
pollution in cities, which is usually created by cars searching on-street parking spaces …
Smart parking system to predict occupancy rates using machine learning
S Garg, P Lohumi, S Agrawal - International Conference on Information …, 2020 - Springer
Car Parking is a significant issue in urban zones in both developed and developing nations.
Following the quick incense of vehicle possession, numerous urban communities are …
Following the quick incense of vehicle possession, numerous urban communities are …
Statistical analysis and prediction of parking behavior
In China, more and more families own cars, and parking is also undergoing a revolution
from manual to automatic charging. In the process of parking revolution, understanding …
from manual to automatic charging. In the process of parking revolution, understanding …
[HTML][HTML] Improving parking availability prediction in smart cities with IoT and ensemble-based model
Smart cities are part of the ongoing advances in technology to provide a better life quality to
its inhabitants. Urban mobility is one of the most important components of smart cities. Due …
its inhabitants. Urban mobility is one of the most important components of smart cities. Due …
Predictive analytics for smart parking: A deep learning approach in forecasting of iot data
Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of
polluting emissions through smart mobility projects and initiatives to “sensitize” …
polluting emissions through smart mobility projects and initiatives to “sensitize” …
A smart cloud and IoVT-based kernel adaptive filtering framework for parking prediction
Smart vehicle parking is a collaborative effort of technology and human innovation where
the efforts are to be minimized to save time and efforts. In smart cities it is one of the common …
the efforts are to be minimized to save time and efforts. In smart cities it is one of the common …