Nowadays, several technologies have emerged to improve communication standards, and one of the most important technologies is vehicular communication, which provides a way to communicate with additional vehicles and infrastructure. The high degree of mobility and the quick topological changes between the vehicles make it tougher to allocate resources between them in a way that maximizes efficiency. Increasing communication efficiency and data dependability is the main goal of this network model architecture. For that purpose, in this article, an effective communication model with genetic algorithm-based resource allocation (ECGARA) is performed in the vehicular network. The network's efficiency is improved when the allocation of resources using an efficiency model is used to monitor data transmission between cars. The Ns3 software is used to build this network structure, and energy efficiency, energy consumption, average latency, network speed, and data delivery ratio are monitored to determine the outcome. Comparing the simulation findings to the other methods, it is evident that this ECGARA yields the best efficiency and data success rate outcomes.