This section contains the installation documentation related to release 5 of this blueprint.
This release (i.e., R5) does not contain any specific installation guide as it contains of the following:
- Data-set (Vehicular Mobility Trace at Seoul, South Korea).
- Either you can run the notebook on cloud directly or you'll need conda-based environment that can run a Jupyter notebook.
- The notebook contains the code of kalman filter (KF), which was modified by us. It is made fit for predicting the vehicular locations after analyzing the data-set.
- To develop the API for this self modified KF is a plan in future.
- For that, we will add an installation guide for it.