A machine learning approach for modelling parking duration in urban land-use

J Parmar, P Das, SM Dave - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
Parking is an inevitable issue in the fast-growing developing countries. Increasing number of
vehicles require more and more urban land to be allocated for parking. However, a little …

Understanding parking decisions with structural equation modeling

F Zong, P Yu, J Tang, X Sun - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Abstract Analysis of parking behavior and the mechanism of parking decisions is essential
for balancing the spatial–temporal distribution of parking and formulating parking …

Short-term prediction of available parking space based on machine learning approaches

X Ye, J Wang, T Wang, X Yan, Q Ye, J Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Reliable short-term prediction of available parking space (APS) is the basic theory of parking
guidance information system (PGIS). Based on the Intelligent parking system at the Eastern …

Investigating the use of machine learning for smart parking applications

J Barker, S ur Rehman - 2019 11th International Conference on …, 2019 - ieeexplore.ieee.org
Traffic congestion caused by greater competition for limited parking spaces in the world's
major cities is a growing problem. To overcome this challenge, a study has been carried out …

A deep learning approach to real-time parking availability prediction for smart cities

J Arjona, MP Linares, J Casanovas - … on Data Science, E-Learning and …, 2019 - dl.acm.org
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 …

[HTML][HTML] Short-term prediction of on-street parking occupancy using multivariate variable based on deep learning

M Lyu, Y Ji, C Kuai, S Zhang - Journal of Traffic and Transportation …, 2024 - Elsevier
Short-term prediction of on-street parking occupancy is essential to the ITS system, which
can guide drivers in finding vacant parking spaces. And the spatial dependencies and …

Exploring how independent variables influence parking occupancy prediction: toward a model results explanation with SHAP values

H Errousso, EA Abdellaoui Alaoui, S Benhadou… - Progress in Artificial …, 2022 - Springer
Finding a parking space is a difficult challenge that drivers face on a daily basis in urban
neighborhoods around the world. They often report that desirable spaces near to their …

Sustainable transport in a smart city: Prediction of short-term parking space through improvement of LSTM algorithm

B Jin, Y Zhao, J Ni - Applied Sciences, 2022 - mdpi.com
The carbon emission of fuel vehicles is a major consideration that affects the dual carbon
goal in urban traffic. The problem of “difficult parking and disorderly parking” in static traffic …

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 …

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 …