A survey on graph neural networks in intelligent transportation systems

H Li, Y Zhao, Z Mao, Y Qin, Z Xiao, J Feng, Y Gu… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent Transportation System (ITS) is vital in improving traffic congestion, reducing traffic
accidents, optimizing urban planning, etc. However, due to the complexity of the traffic …

Graph neural networks for intelligent transportation systems: A survey

S Rahmani, A Baghbani, N Bouguila… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …

Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction

W Zhang, H Liu, Y Liu, J Zhou, H Xiong - Proceedings of the AAAI …, 2020 - ojs.aaai.org
The ability to predict city-wide parking availability is crucial for the successful development of
Parking Guidance and Information (PGI) systems. Indeed, the effective prediction of city-wide …

A smart cloud and IoVT-based kernel adaptive filtering framework for parking prediction

D Anand, A Singh, K Alsubhi, N Goyal… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Toward a real‐time smart parking data management and prediction (SPDMP) system by attributes representation learning

H Yang, R Ke, Z Cui, Y Wang… - International Journal of …, 2022 - Wiley Online Library
Managing and estimating the availability information of parking lots is of great importance to
travelers and managers. However, the task is very challenging since the occupancy rate is …

Semi-supervised city-wide parking availability prediction via hierarchical recurrent graph neural network

W Zhang, H Liu, Y Liu, J Zhou, T Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The ability to predict city-wide parking availability is crucial for the successful development of
Parking Guidance and Information (PGI) systems. The effective prediction of city-wide …

Artificial intelligence for parking forecasting: an extensive survey of machine learning techniques

R Cao, F Choudhury, S Winter… - … A: Transport Science, 2024 - Taylor & Francis
To address the parking challenges, this survey delves into the significant impact of machine
learning (ML) on parking availability (PA) predictions. With swelling urban populations …

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 …

Truck parking pattern aggregation and availability prediction by deep learning

H Yang, C Liu, Y Zhuang, W Sun… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the significant increase of e-commerce, freight transportation demand has surged
significantly over the past decade. Most of the demand has been served by trucks in the …

Polestar: An intelligent, efficient and national-wide public transportation routing engine

H Liu, Y Li, Y Fu, H Mei, J Zhou, X Ma… - Proceedings of the 26th …, 2020 - dl.acm.org
Public transportation plays a critical role in people's daily life. It has been proven that public
transportation is more environmentally sustainable, efficient, and economical than any other …