Modelling V2V message generation rates in a highway environment

In this paper, we investigate if an analytical model can be used to estimate the load on the vehicular communication channel. We design a queueing model for estimating the probability distribution of Cooperative Awareness Message generation rates in a highway environment. The results are compared with a real world vehicular traffic trace on a highway and also with a vehicular communication simulator using Veins and SUMO for more complicated traffic scenarios involving acceleration and deceleration ramps. Comparing the results shows the probability distribution of the message generation rates predicted by our model to be within the 95% confidence interval of the distribution obtained from the traffic trace and the simulation.