Performance of MEC Solutions in Automotive Applications

Performance of MEC solutions on automotive applications The thesis work concerns the analysis of algorithms developed in the context of vehicular communications aimed at the reduction of the collisions among vehicles to guarantee higher levels of road safety. The focus of the work is on the evaluation of parameters and performances of such algorithms through a wide simulation campaign based on the utilization of two different simulative platforms: the simulator of network technologies OMNeT++ and the road traffic simulator SUMO. The adopted approach allows the two simulators to reciprocally communicate in real-time in such a way that traffic conditions may influence the behaviour of the modules implemented on the network simulator and the other way around the actions decided by the algorithms deployed in the network modify the traffic flows of the involved vehicles. The problem is tackled on urban intersections by considering centralized solutions based on the cellular technology under the Mobile Edge Computing (MEC) paradigm, distributed solutions leveraging both cellular technology and short range wireless technology and also hybrid solutions in which cellular and short range wireless technologies are integrated together. The proposed solutions will be applied either to cars equipped with assisted braking systems and to cars without any level of automation to determine whether the actual number of vehicular collisions is reduced.