No abstract

Nowadays, research on Vehicular Technology aims at automating every single mechanical element of vehicles, in order to increase passengers' safety, reduce human driving intervention and provide entertainment services on board. Automatic trajectory tracing for vehicles under especially risky circumstances is a field of research that is currently gaining enormous attention. In this paper, we show some results on how to develop useful policies to execute maneuvers by a vehicle at high speeds with the mathematical optimization of some already established mobility conditions of the car. We also study how the presence of Gaussian noise on measurement sensors while maneuvering can disturb motion and affect the final trajectories. Different performance criteria for the optimization of such maneuvers are presented, and an analysis is shown on how path deviations can be minimized by using trajectory smoothing techniques like the Kalman Filter. We finalize the paper with a discussion on how communications can be used to implement these schemes.

Abstract. Vehicular Ad-hoc Networks (VANETs) are having a significant impact on Intelligent Transportation Systems, specially on the improvement of 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. In the present paper we describe an analytical model to compute the average number of accidents in a chain of vehicles. The use of this model when the CCA technology penetration rate is not 100% leads to a vast increase in the number of operations. Using the OpenMP directives for parallel processing with shared memory we achieve a significant reduction in the computation time consumed by our analytical model.

Abstract: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.

Computer simulation is the preferred approach when investigating Vehicular Ad-hoc Networks (VANET). During the last years different platforms have emerged, regarding the evaluation of next-generation autonomous vehicular mobility and car-to-car wireless connectivity. NCTUns (now Estinet) is a relevant networking platform that provides support for IEEE 802.11p-based connectivity between vehicles. This paper describes the implementation of an inter-module communications' scheme in NCTUns designed to allow reciprocal message transmission and processing between a mobility and a messaging agent in vehicles supporting Cooperative chain Collision Avoidance (CcCA) for improving safety even under rear-end collision risky circumstances. Contributions hold in the bidirectional inter-module channel that features the management of mobility in these environments according to the communication's protocol that implements the CcCA application, and viceversa. As an additional characteristic of the implementation, a Nakagami-m channel model is implemented to recreate intervehicular communications more realistically.