- Graph Neural Networks for Intelligent Transportation Systems🔍
- Graph Neural Networks in Intelligent Transportation Systems🔍
- A Survey on Graph Neural Networks in Intelligent Transportation ...🔍
- [PDF] Graph Neural Networks in Intelligent Transportation Systems🔍
- Graph Neural Network for Digital Twin|enabled Intelligent ...🔍
- Optimizing Transportation Management with a Hybrid GNN|RL ...🔍
- Graph neural networks as strategic transport modelling alternative🔍
- jwwthu/GNN4Traffic🔍
Graph Neural Networks for Intelligent Transportation Systems
Graph Neural Networks for Intelligent Transportation Systems
Graph Neural Networks for Intelligent Transportation Systems: A Survey. Abstract: Graph neural networks (GNNs) have been extensively used in a ...
Graph Neural Networks in Intelligent Transportation Systems - arXiv
Title:Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends ... Abstract:Intelligent Transportation ...
(PDF) Graph Neural Networks for Intelligent Transportation Systems
We explore how GNN frameworks have evolved for different ITS applications, including traffic forecasting, demand prediction, autonomous vehicles, intersection ...
A Survey on Graph Neural Networks in Intelligent Transportation ...
1 Introduction. As cities expand and transportation systems develop, some transportation system problems are gradually exposed, including ...
Graph Neural Networks for Intelligent Transportation Systems
Unlike previous surveys, which have been limited to traffic forecasting problems, we explore how GNN frameworks have evolved for different ITS applications, ...
Graph Neural Networks for Intelligent Transportation Systems
Graph Neural Networks (GNNs) are a type of artificial intelligence model specifically designed to analyze and process data represented as graphs.
[PDF] Graph Neural Networks in Intelligent Transportation Systems
A wide range of graph-related studies from 2018 to 2023 are examined, summarizing their methodologies, features, and contributions in ...
Graph Neural Networks for Intelligent Transportation Systems
Index Terms—Graph neural networks, deep learning, intelli- gent transportation systems, GNN, ITS. I. INTRODUCTION. THE unprecedented growth of ...
Graph Neural Networks for Intelligent Transportation Systems
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Graph Neural Networks in Intelligent Transportation Systems
This survey paper provides an overview of the latest developments in using graph neural networks for intelligent transportation systems.
Graph Neural Network for Digital Twin-enabled Intelligent ...
Machine Learning Algorithms, Image Edge Detection, Transportation, Receivers, Graph Neural Networks, Real Time Systems, Safety, Intelligent Transportation ...
Optimizing Transportation Management with a Hybrid GNN-RL ...
In response, Intelligent Transportation Systems ... Deep reinforcement learning meets graph neural networks: exploring a routing optimization use case.
Graph neural networks as strategic transport modelling alternative
IET Intelligent Transport Systems is an interdisciplinary journal publishing research on the practical applications of intelligent transport ...
jwwthu/GNN4Traffic: This is the repository for the collection ... - GitHub
Graph Neural Networks for Intelligent Transportation Systems: A Survey[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. Link. Xiong H, Shen ...
Knowledge fusion enhanced graph neural network for traffic flow ...
Accurate traffic prediction has become a core component of the construction of intelligent transportation system (ITS), which can provide a decision-making ...
Graph Neural Network for Traffic Forecasting: A Survey - NASA/ADS
Traffic forecasting is important for the success of intelligent transportation systems. Deep learning models, including convolution neural networks and ...
Multi-Model Traffic Forecasting in Smart Cities using Graph Neural ...
A smart, safe, and efficient transportation system can be built with the aid of ITS. The Vehicular Ad-hoc Network allows cars to connect to the ...
Graph Neural Networks for Traffic Prediction and Smart City ...
... intelligent transportation systems. This research paper explores the application of Graph Neural Networks (GNNs) for traffic prediction and ...
Graph Neural Network for Digital Twin-enabled Intelligent ...
Digital Twin (DT) is a promising technology for executing real-time monitoring and diagnostic operations in Intelligent Transportation Systems (ITSs).
Applying Graph Neural Networks to Support Decision Making on ...
Intelligent Transportation Systems (ITSs) vehicle station leaves a signed trace of its geographic location that is rated as personal data. An attacker can ...