v1.0.0 - Initial Release

Traffic Flow Analysis Version 1.0.0

This is the first release for Traffic Flow Analysis.

More detail about the app can be found in

1. Readme File
2. Wiki

Data Sharing API

* `/api/v2/count` - Endpoint for vehicle count prediction
* `/api/v2/count/<vehicle_type>` - Endpoint for vehicle count prediction, support 3 types of vehicle: `car`, `motorcycle`, and `heavyvehicle`
* `/api/v2/flow` - Endpoint for traffic flow speed prediction
* `/api/v2/desc/flow` - Endpoint to get average flow data over the time from database, aggregated into 30 interval time
* `/api/v2/desc/count` - Endpoint to get number of average vehicle count each type over the time collected in database, aggregate into average
* `/api/v2/desc/weather` - Endpoint to get number of weather condition collected each class. Weather condition get interpret into 4 classes: `Clear`, `Cloudy`, `Rain`, `Low Visibility`

Frontend Web Application

* Data visualization - Visualize historical and predicted data using charts
* API Exploration - Explore and interact with the prediction API endpoints from within the web app.

Prediction Model

* Prediction model based on Recurrent Neural Network (RNN).
* It is exported from PyTorch and run using the LibTorch library in Rust.
* The model is pre-trained and doesn't update automatically, model retrain is require to make the model change it prediction to align with newly added data.

v1.0.0-rc1 - First Release Candidiate

Traffic Flow Analysis Version 1.0.0-rc1

This is the first release candidate for the first stable release (v1.0.0) of the traffic flow analysis web app. Please test it thoroughly and report any issues!

More detail about the app can be found in

1. Readme File
2. Wiki

Data Sharing API

* `/api/v2/count` - Endpoint for vehicle count prediction
* `/api/v2/count/<vehicle_type>` - Endpoint for vehicle count prediction, support 3 types of vehicle: `car`, `motorcycle`, and `heavyvehicle`
* `/api/v2/flow` - Endpoint for traffic flow speed prediction
* `/api/v2/desc/flow` - Endpoint to get average flow data over the time from database, aggregated into 30 interval time
* `/api/v2/desc/count` - Endpoint to get number of average vehicle count each type over the time collected in database, aggregate into average
* `/api/v2/desc/weather` - Endpoint to get number of weather condition collected each class. Weather condition get interpret into 4 classes: `Clear`, `Cloudy`, `Rain`, `Low Visibility`

Frontend Web Application

* Data visualization - Visualize historical and predicted data using charts
* API Exploration - Explore and interact with the prediction API endpoints from within the web app.

Prediction Model

* Prediction model based on Recurrent Neural Network (RNN).
* It is exported from PyTorch and run using the LibTorch library in Rust.
* The model is pre-trained and doesn't update automatically, model retrain is require to make the model change it prediction to align with newly added data.