# 6G Visible Providing Advanced Weather Services for Autonomous Driving
## 8 Conclusions  
The 6G Visible project develops 6G-era service and architecture solutions utilizing autonomous and semi-autonomous driving. 6G Visible, being a distributed application with the main functionality of following up and predicting traffic situations with a broad set of sensors and providing vehicles with real-time steering guidance/commands, brings an important use case for the 6G solutions and services. Our approach, however, does not present a comprehensive package of services to be used/developed as a base of 6G architecture, but merely a practical set of services enabled by the innovations envisioned in 6G's pre-design. Our solutions developed in this project (until now and from now on) represent pre-6G infrastructure, which we intended to use as a building block and for practical visualizations of the design of the ultimate 6G infrastructure. 6G infrastructure is expected to be a collection of ambient, sophisticated networks in perfect mutual balance, or a traffic entity representing just one operation entity among multiple ones.  
Finnish Meteorological Institute focuses on weather- and safety-related services for autonomous vehicles. The target is to tailor road weather services for the special needs of autonomous driving by adjusting weather warnings based on autonomous vehicle sensor sensitivity, especially LiDAR sensors, as well as by combining road weather forecasts and nowcasting short-term precipitation forecasts with specific route planning. Knowledge modeling based on weather and other parameters, as well as predictive modeling of weather-related crashes, will be essential to build a statistical background for these services. Intelligent traffic communication systems are evaluated as necessary data exchange platforms in our project pilot as well as in expected future deployment.  
This paper provides the first-stage results of the project, which are to be supplemented in the following latter half of the project. Future work and results will consist of both practical use cases and development into pilot services, as well as practical ground proof material for the development of 6G-era service and architecture solutions, especially in the road traffic environment.  
Conceptualization, T.S. and V.K.; methodology, T.S., K.M., H.M., V.K., and E.S.; software, K.M., H.H., A.P., H.M., and V.K.; validation, H.H., A.P., H.M., V.K., and E.S.; formal analysis, T.S., V.K., and E.S.; writing--original draft preparation, T.S.; writing--review and editing, V.K.; visualization, T.S., K.M., A.P., H.M., V.K., and E.S.; supervision, T.S.; project administration, T.S.; funding acquisition, T.S. All authors have read and agreed to the published version of the manuscript.  
This research was funded by Business Finland 6G Bridge program, grant number 1468/31/2023.  
The data presented in this study are available on request from the corresponding author.  
The support provided by the Business Finland's 6G Bridge program is gratefully acknowledged. The authors also want to thank all the colleagues who participated to this work both at the University of Oulu and the Finnish Meteorological Institute, especially [PERSON], [PERSON], and [PERSON] at the University of Oulu and [PERSON] and [PERSON] at the Finnish Meteorological Institute. Work related to the section \"Predictive modelling of weather-related crashes\" was carried out in the Master's thesis (unpublished) of [PERSON], and was supervised jointly by [PERSON], Department of Mathematics and Statistics, University of Helsinki, and [PERSON], Finnish Meteorological Institute.  
The authors declare no conflicts of interest.