The allocation of resources among Vehicles-Vehicles (V2V) communication networks is of extreme concern due to abrupt traffic and changes in message size, particularly in highly populated cities. The innovative framework that optimizes the LTE-V2V network resources was presented which is dynamically adapted to the alterations of traffic density and the alterations of message size. It developed a detailed mathematical model of LOS and NLOS conditions, including precise path loss exponents, environmental shadowing as well as Signal-to-Interference-plus-Noise Ratio (SINR). The important overall effect of the traffic density within the network was proved through massive intensive simulations of 10–1000 vehicles. NLOS scenarios exhibited up to 100% higher latency compared to LOS environments. The detailed empirical findings showed packet delivery ratio was deteriorating by 55% for heavy traffic density in LOS situations and by 75% for challenging NLOS. The proposed framework strategically maintained SINR thresholds above 10 dB and achieved packet delivery rates above 90% in moderate traffic environments while maintaining resource allocation balance. This paper contributes to developing better and more reliable vehicular communication systems through providing adaptive innovative solutions for handling resources under dynamic traffic situations.