 solution, which facilitates the exchange of V2X related information between (mobile) nodes via the underlying communication net- work as well as their fast processing, as discussed in [7]. The infotainment experience on board might also open up considerable business oppor- tunities and be significantly impacted by (edge) cloudification system deployments; about US$7 trillion-worth passenger economy will emerge when drivers become passengers,4 thereby freeing up to 300 hours per year they typically spend behind the wheel. Wearable devices, in-vehicle and roadside sensors, and vehicles themselves will be fully connected and exchange information related to traffic conditions, surrounding environment, and geo- graphical maps, while generating, sharing, and retrieving rich media contents that enable advanced V2X applications [8]. Within this ecosystem, the role of edge computing is essential to provide fast access and distribution of information of local interest. Examples of such information range from sim- ple safety warnings to contextual data advertising, such as the proximity of other vehicles (e.g. see-through service) or obstacles (e.g. real-time situational awareness), to real-time video streaming and augmented reality/virtual reality (AR/VR) services. Further evidence of the synergy between V2X and edge computing comes from several trials on automotive use cases resulting from the collaboration among different stakeholders, such as car original equipment manufacturers (OEMs), service providers, and telecommunication operators. 13.4.1 The Role of MEC In the described context, the European Telecommunications Standards Institute (ETSI) specified the MEC paradigm. It is aimed to guarantee a preferred environment for locally preprocessing data and to save backhaul bandwidth, as well as for hosting - in very close 3 htp://5gaa.org/wp-content/uploads/2017/12/5GAA_T-170219-whitepaper-EdgeComputing_5GAA 4 https://newsroom.intel.com/news-releases/intel-predicts-autonomous-driving-will-spur-new- passenger-economy-worth