T-Foresight

This is the repository for submission T-Foresight: Interpret Moving Strategies based on Context-Aware Trajectory Prediction.

This repository provides the source codes.

How to run it

We have a frontend (T-Foresight, in the folder frontend\) and a backend (the implementation of our proposed analytics workflow, in the folder backend\). To save your review time, we provide the analysis progress of our domain experts for review (in the folder case\), so that you can just run the frontend and explore our system.

Frontend. Our frontend is built based on Vite, React, and MobX. You can run it in three steps.

1. Install dependencies. Please run cd frontend to change the root directory as frontend\ and then run yarn install to install necessary dependencies.
2. Run the interface. Run run dev to start the user interface and open http://localhost:5173 in your explorer (Chrome is recommended). Now, you can see the user interface.
3. Load the data. At the app bar, click on IMPORT DATA and select the file case\secret_tundra.json to load the game. Then click on IMPORT CASE and select one of the other two files, either secret_tundra-case1.json or secret_tundra-case2.json, to load the analysis progress. Now, you can explore the case!

Backend. Our backend is build based on FastAPI. You can use it in two steps.

1. Install dependencies. Please run cd backend to change the root directory as backend\ and run pip install -r requirements.text to install necessary packages.
2. Run the server. Please run uvicorn main:app --reload to start the server. But we cannot upload our dataset since it is so large. So you cannot use the functions of the backend.