TAGRA 2024

Advanced communication technologies in 5G networks has the potential to transform the interaction of transportation system between vehicles, infrastructure and padestrians. This study focusses on developing a C-V2X communication model using OMNeT++ simulation tool and analyzing its performance based on key Quality of Service (QoS) factors such as latency, throughput and packet loss in 5G network. The results show that C-V2X in 5G network is suitable for real-time applications such as accident prevention and traffic management because it offers high data transfer speeds and low delays. However, better optimization is needed as the packet loss increases during network congestion. The research highlights the importance of building reliable C-V2X models to meet the needs of connected and autonomous vehicles, encouraging network designers to adopt strategies that ensure efficient communication. This study contributes to the development of safer, smarter and more efficient transportation systems.