INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks

Documenti analoghi

• Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach
  di: Gupta, Mohit, et al.
  Pubblicazione: (2024)
• BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
  di: Gupta, Mohit, et al.
  Pubblicazione: (2025)
• Dynamic Pedestrian Traffic Assignment with Link Transmission Model for Bidirectional Sidewalk Networks
  di: Lilasathapornkit, Tanapon, et al.
  Pubblicazione: (2024)
• Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data
  di: Saberi, Meead, et al.
  Pubblicazione: (2024)
• Traffic Assignment Problem for Footpath Networks with Bidirectional Links
  di: Lilasathapornkit, Tanapon, et al.
  Pubblicazione: (2020)