https://github.com/jackielinn/traffic-flow-forecasting

Here is the big job modeling code repository for the YNU Big Data Analytics and Applications course.
https://github.com/jackielinn/traffic-flow-forecasting

astgcn chebnet gat gcn mstgcn pytorch

Last synced: 2 months ago
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Here is the big job modeling code repository for the YNU Big Data Analytics and Applications course.

Host: GitHub
URL: https://github.com/jackielinn/traffic-flow-forecasting
Owner: JackieLinn
License: apache-2.0
Created: 2024-12-10T16:21:00.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-12-22T16:28:53.000Z (5 months ago)
Last Synced: 2025-01-23T04:26:23.129Z (4 months ago)
Topics: astgcn, chebnet, gat, gcn, mstgcn, pytorch
Language: Jupyter Notebook
Homepage:
Size: 40.1 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# Traffic-Flow-Forecasting

Here is the big job modeling code repository for the YNU Big Data Analytics and Applications course.

### Get Started
```bash
git clone https://github.com/JackieLin2004/Traffic-Flow-Forecasting.git
cd ./Traffic-Flow-Forecasting
```

### Requirements
```bash
pip install -r requirements.txt
```

In this code repository, we used the PEMS04 and PEMS08 datasets for traffic flow prediction.

We not only used a spatial dimensional model for traffic flow prediction, but we also explored combining spatio-temporal features and employing a spatio-temporal synchronization approach for traffic flow prediction.

For spatio-temporally synchronized traffic flow prediction, we mainly use two models, `ASTGCN` and `MSTGCN`.

Here we give some indicator data: