# Smart Mobility and Aspects of Vehicle-to-Infrastructure: A Data Viewpoint
## 6 Discussion  
To successfully implement Smart Mobility into everyday life, it is necessary to solve several general questions concerning the data viewpoint of this concept. Many of the technologies that are essential for Smart Mobility are only at the beginning of normal/daily use in many countries, for example 5G, Edge computing or HD maps. These data need to be processed and analyzed. The processing time of operational data should be kept to a minimum so that the vehicle has sufficient time to respond adequately. The question therefore remains as to which architecture should be chosen. Using Edge computing and Cloud could serve as an appropriate combination for V2I communication. Edge Computing could serve mainly for the processing of operational and tactical data and Cloud for the processing and storing of strategic data. In a year, a third level vehicle of autonomy will produce an estimated more than 5500 TB of data [8]. Not all data, such as the current state of the tank, must be sent outside the vehicle. It is this boundary that needs to be defined so that storage and communication channels are not flooded with more data than necessary, which could also slow down data transmission and processing. In addition to the data produced by vehicles, other data will also come from other sources, such as sensors in the road infrastructure, thus increasing the volume of data produced under V2I. It is important to specify the data that will be sent from the devices and at what level it will be processed. It is necessary to determine which data will be stored for a long time and which will not. In particular, the future use of stored data must be considered for this decision. While some data, such as traffic intensity on a specific section or accident, have long-term use, other data do not need to be stored and may be deleted or archived. It is important to select which data generated from devices or sensors we need for the correct and safe operation of autonomous driving in V2I communication, as well as in communication with other V2X elements. The question remains whether one of the possible solutions is the aggregation of data at a certain level, whether it is aggregation at the level of time, location, vehicle type or another parameter. Another possibility of solving the problem of the amount of data is the design of new methods of data compression or the adaptation of currently used algorithms. The aim should be to reduce the total amount of data and at the same time reduce the compression and decompression time required and, thus, affect the overall length of the transmission and processing. In addition to the need for sufficient data storage capacity, it is crucial to ensure stable and fast information transfer. While driving, many dangerous situations arise that require the vehicle to react quickly and of which it must be informed in good time by means of messages. Minimizing the delay of these messages is key to road safety. For this reason, it is necessary to build 5G networks on the road infrastructure for the communication of individual elements of V2I communication. An important part of the AECC consortium is the use of HD maps essential for the accurate location of the vehicle to be able to work with information for the decision-making process. Reporting real-time objects from the dynamic layer represents a huge amount of information that will be sent to the MSP Edge/Central server and the updated version reloaded into the vehicle. Another aspect of data communication is cybersecurity. Autonomous vehicles and drivers of not fully autonomous vehicles base their decisions on received information. It is important to ensure that autonomous vehicles and drivers of not fully autonomous vehicles receive real-time information that is necessary for the safety of all road users. This information is the main part of V2I communication. There are many types of cybersecurity attacks that need to be considered as this communication is mediated via the Internet.