he crucial role of multi-access edge computing (MEC) technologies for V2X applications (Section 13.4); to scrutinize other prominent enabling technologies for V2X network slicing such as seg- ment routing (Section 13.5); to present the network slicing concept and its instantiation in the vehicular ecosystem, by scanning 3GPP efforts and the literature (Section 13.6); to emphasize the main lessons learnt and provide design guidelines, while also sharing perspectives about future research directions and open issues (Section 13.7). 13.2 Vehicular Applications V2X applications cover a wide range of use cases, which are typically grouped together based on their purpose and minimum requirements. The 5G Automotive Association (5GAA)1, formed by major telecommunications operators, automotive industries, and chip manufacturers, groups them in four categories: (i) safety use cases are aimed at reducing the frequency and severity of vehicle collisions, e.g. through the exchange of warnings; (ii) convenience use cases provide services to manage the health of vehicles, such as diagnostics and software updates; (iii) vulnerable road user (VRU) use cases target safe interactions between vehicles and other non-vehicle road users; (iv) advanced driving assistance use cases share similar objectives with safety use cases, but they aim to support (semi-)autonomous vehicle operation. Hence, they exhibit more demanding requirements and are typically treated separately. Indeed, they have specifically catalyzed the interest of 3GPP, which further classifies them as follows (3GPP TR 22.186, 2018): (i) vehicles platooning enables vehicles to dynamically form a group travelling together with short 1 http://5gaa.org/. 13.3 V2X Communication Technologies Table 13.1 Connectivity requirements of V2X autonomous driving applications (3GPP TR 22.186) Application Payload Latency Reliability Data rate (bytes) (Mbps) Vehicles platooning 50-6500 B 10-20 90-99.999 0.012-65 Advanced driving 300-12 000 3-100 90-99.999 0.096-53 Extended sensors 3-100 90-