This section contains the upstream information related to release 6 of this blueprint.

Summary

MEC-based Stable Topology Prediction for Vehicular Networks is planned to include the implementation of a platform that can enable stable topology prediction for vehicular networks. It aims at providing vehicle-friendly environment such that the future use-case scenarios can be built upon the provided information.

Components of the release

1. Road-aware location rectifier
2. vTrachea-Store

Dependencies of the release (upstream version, patches)

Operating system:

Software used:

Repository:

Differences from previous version

• Previous versions did not include the the road information
• Previous version did not have the process of rectification included

Upgrade Procedures

None.

Release Data

Module version changes

None.

Document Version Changes

Initial versions.

Software Deliverable

• Road-aware location rectifier (mechanism and internal details can be visualized here)
  
• vTrachea-Store (ERD can be seen on the link)   

Documentation Deliverable

Installation Documentation - R6 (MEC-based)

API Documentation - R6 (MEC-based)

Release Notes - R6 (MEC-based) - this document

Fixed Issues and Bugs

None

Enhancements

• Improvement in the accuracy of estimated/predicted location of a vehicle
• Support of geo-coordinates rather than using simple x, y coordinates

Functionality changes

• Previously, the location prediction was done by the use of a basic Kalman filter
• Now, we have added the step of rectification with the help of road information extracted from OpenStreetMap
• This procedure enhances the accuracy of estimated/predicted location of a vehicle

New Features

• Enhancement in accuracy of predicted location, i.e., rectified location

Deliverable

1. Road-aware rectification (explained here)

Known Limitations, Issues and Workarounds

System Limitations

• N/A

Known Issues

• N/A

Workarounds

• N/A

References

• N/A