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.