In this paper, we validate the proposed model by comparing the distributions of the model parameters, extracted from the simulated channels, with their counterparts extracted from the measured channels. The validation shows that the proposed model provides a very good representation for the V2VRU propagation channel in the considered scenarios. This channel model can be used in simulations to develop and evaluate V2VRU communication and collision avoidance algorithms in critical accident scenarios.

This work presents the first complete parameterization for WINNER-type geometry-based stochastic channel model (GSCM) at 5.2 GHz based on channel measurements. In order to parameterize the GSCM channel model, the large scale parameters (LSPs) and their correlations are estimated in the log domain. The results show that the log-normal distribution provides a good fit to the distributions of the LSPs. The proposed  model parameterization can be used to generate synthetic channel instances which are required to develop and evaluate V2VRU communication systems and collision avoidance algorithms in critical accident scenarios.