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Parallelization of a Mathematical Model to Evaluate a CCA Application for VANETs

Vehicular Ad-hoc Networks (VANET) are currently becoming not only an extremely important factor for vehicles engineering development but also a key issue for improving road safety. Cooperative/Chain Collision Avoidance (CCA) application comes up as a solution for decreasing accidents on the road, therefore it is highly convenient to study how the system of vehicles in a platoon will behave at different stages of technology deployment until full penetration in the market. We have developed an analytical model to compute the average number of accidents in a platoon of vehicles. However, due to the model structure, when the CCA technology penetration rate is taken into account, the increase in the number of operations of the analytical model is such that the sequential computation of a numerical solution is no longer feasible. In this paper, with the goal in mind of reducing computation time, we show how we have implemented and parallelized our analytical model so as a solution can be achieved, what is conducted using the OpenMP parallelization techniques under a supercomputing shared memory environment.