Contribution to the Analysis of Digital Infrastructure in Terms of Readiness for Cooperative, Connected and Automated Mobility

The surge in urban traffic has been linked to various challenges, most notably congestion and accidents-many of which result from human errors, both direct and indirect. CCAM (Connected, Cooperative, Autonomous and Automated Mobility) stands as a potential solution to enhance traffic efficiency, safety, and overall user comfort. Realizing these objectives necessitates the resolution of numerous challenges, such as communication and data processing infrastructure, vehicle technology, protection of personal data, and cybersecurity. This study contributes to the assessment of the readiness of the University of Zilina - Vranie Village route for autonomous transport, focusing on the reliability and speeds of the supporting C- V2X (Cellular vehicle-to-everything), V2I (Vehicle-to-Infrastructure) systems. The results reveal crucial deficiencies in various aspects, necessitating improvements for optimal functionality. While some services meet the requirements at high percentages, significant issues persist, especially in vehicle location accuracy and latency. Notably, non-compliance occurrences suggest inadequacies in the 5G network, emphasizing the need for enhanced network infrastructure. Addressing the deficiencies in network infrastructure, predictive models and stability of the network, while also conducting further research, will be crucial for realizing the potential of autonomous vehicles in both urban and suburban areas.