GEMV² is a geometry-based, efficient propagation model for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.

MAIN FEATURES

• Uses outlines of vehicles, buildings, and foliage to distinguish the following three types of links: line of sight (LOS), non-LOS due to vehicles, and non-LOS due to static objects
• Deterministically calculates large-scale signal variations (path-loss and shadowing)
• Calculates the small-scale signal variations using the number and size of objects around the communicating vehicles
• Models both V2V and V2I links
• Validated against V2V and V2I measurements in urban, suburban, highway, and open space environments
• Imports vehicular mobility from SUMO; uses floating car data format to generate vehicle outlines
• Imports outlines of buildings and foliage from OpenStreetMap
• Easily extensible to import vehicular mobility and object outlines from other data sources
• Exports the visualization of vehicular communication to KML format (for use with Google Earth or NASA World Wind)
• Implemented in MATLAB; free of charge and openly distributed
• Implementation in C++ for OMNet++/Artery available.

GEMV² was developed by Mate Boban as part of his Ph.D. thesis work. If you find it useful in your work, please cite the following reference:

Mate Boban, Joao Barros, and Ozan K. Tonguz: “Geometry-Based Vehicle-to- Vehicle Channel Modeling for Large-Scale Simulation,” IEEE Transactions on Vehicular Technology, Vol. 63, No. 9, November 2014, doi:10.1109/TVT.2014.2317803 [PDF][BibTeX]