Topic: "origin-destination-estimation"
underdoc-wang/MPGCN
[ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 2
pabloguarda/probabilistic-graphical-transportation-networks
Probalistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow
Language: Python - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
Taehooie/CGODME
This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts
Language: Python - Size: 546 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 3 - Forks: 6
shishixuezi/HiUrNet
Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)
Language: Python - Size: 4.26 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1
YannisZa/GeNSIT
Generating Neural Spatial Interaction Tables
Language: Python - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
YannisZa/stochastic-travel-demand-modelling
Stochastic modelling of urban travel demand
Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1
VjeraTurk/Master-s-Thesis
The existing ODM valuation methods define the value of a new ODM by comparing it to an existing ODM. There is a need to define and quantify the quality of ODM through objective parameters. This thesis presents an alternative approach to ODM evaluation, defines objective quality parameters, comparison conditions and decision process
Language: TeX - Size: 495 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
gitAtila/estimate_od
Estimate origin and destination positions based on smartcard usage time and transit position.
Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 2
