The rapid advancement of 5G technology has accelerated the development of vehicular networks, where reliable Vehicle-to-Vehicle (V2V) communication is essential for intelligent transportation systems. This study evaluates the performance of Cellular Vehicle-to-Everything (C-V2X)-based V2V communication using a trace-driven simulation approach in a semi-enclosed environment. A realistic mobility model is generated using Simulation of Urban Mobility (SUMO) based on OpenStreetMap data and integrated with the WiLabV2Xsim simulator implementing the 3GPP C-V2X Mode 4 standard. The evaluation is conducted using Packet Reception Ratio (PRR), Channel Busy Ratio (CBR), and packet delay under varying vehicular densities. The results show that increasing vehicle density leads to a significant degradation in PRR while increasing CBR and delay, indicating higher channel congestion and communication interference. Increasing bandwidth improves communication reliability, whereas higher transmission power provides limited benefits in dense scenarios. These findings highlight the importance of efficient resource allocation and congestion-aware mechanisms to ensure reliable V2V communication in 5G-enabled vehicular networks. However, this study is limited to simulation-based evaluation and does not consider real-world deployment constraints. The study contributes to understanding the scalability and performance behavior of C-V2X systems in realistic vehicular environments.
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