[ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
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May 18, 2021 - Python
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origin-destination-estimation
Here are 7 public repositories matching this topic...
Probabilistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow
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Jan 11, 2024 - Python
Generating Neural Spatial Interaction Tables
neural-networks population-synthesis agent-based-modeling agent-based markov-chain-monte-carlo origin-destination gravity-models origin-destination-estimation spatial-interaction neural-differential-equations ecological-inference spatial-interaction-modeling markov-bases combinatorial-explosion
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Jun 4, 2025 - Python
This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts
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Nov 20, 2024 - Python
Implementation of the spatialGAT in the paper: Spatial Attention Based Grid Representation Learning for Predicting Origin–Destination Flow (IEEE Big Data 2022)
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Aug 5, 2024 - Python
Estimate origin and destination positions based on smartcard usage time and transit position.
transit bus smartcard geoprocessing od-virtualscroll origin-destination origin-destination-estimation
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Apr 3, 2018 - Python
Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)
urban-computing origin-destination-estimation heterogeneous-graph-neural-network hierachical-urban-structure urban-representation-learning
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Nov 24, 2024 - Python
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