## 4 Results and Discussions
Omnidirectional antenna systems necessitate computationally complex algorithms due to the four-dimensional management of antenna power. Conversely, switched beam systems at the receiving  
Figure 8: PER calculation with respect to distance in meters. Figure 7: BER calculation with respect to distance in meters. resources as they employ low power slicing, thereby maintaining a low wireless power at all points. The results illustrating these findings are presented in Figure 9.  
The beam selection probability depends on the beam switching between different directional antennas. The probability of transitioning from one beam to another in a highly mobile environment is significant. In Figure 10, after algorithm deployment, beam switching is observed. The average beam switching probability is 0.9, due to the reduced complexity, which is considerable and reliable for fast-paced environments. Furthermore, the computational complexity factor is calculated to observe the effect of the algorithm in various environments. The computational complexity factor is directly related to the traffic density and its speed analysis, taking into consideration the network point load and channel load measurements. According to Figure 11, the computational complexity is significantly decreased in increased traffic. The average computational factor in a highly dense environment is 0.29. In regular practice, the computational factor reaches a value of 0.4 in dense environments, resulting in a decreased performance or the halting of the analysis of intelligent transportation systems. Figure 10: Beam switching and selection probability liaise with DSRC range. Figure 9: Calculation of average throughput in Mbps. In analyzing beam efficiency and its power transfer to pinpoint locations, a new algorithm and mathematical model have demonstrated a significant decrease in computational complexity. The beam efficiency at more than 90% has a complexity factor of 15, which is desirable enough for any dense traffic environment. On the other hand, the conventional system was not consistent in improving the complexity factor and tended to average at 0.25. The results are illustrated in Figure 12.  
The connected vehicular density is a critical aspect to consider. This is determined by several key parameters, such as the connected links, the density of a 500 m roundabout area as a test scenario, and the difference in related links between the traditional and proposed systems. Additionally, the impact of increased traffic on the performance parameters of virtual servers is evaluated for performance estimation. In Figure 13, it is observed that the proposed system and its algorithmic structure, with support for various environments, are resource friendly. Figure 6:0 Calculation of computational complexity in various environments. Figure 6:1 Estimation of the computational complexity factor with respect to beam power efficiency. 3 indicates that resources are highly utilized. In the case of a high complexity factor, the quality of the proposed system is better by two factors, as shown in Figure 6:2 This result is due to a low-resource key code and model optimized for GPU machines. The time complexity of an algorithm refers to the total time required for the algorithm to complete its execution. In simpler terms, it is the amount of time it takes for a piece of code to run. The faster the code executes, the lower its time complexity. The proposed system has demonstrated exceptional results, as illustrated in Figure 6:3  
Furthermore, in anti-failure vehicular systems, if the real-time PDR fails to fetch data, the PDR is calculated with respect to the asphalt value of the road environment according to standards [34]. In that scenario, the success of the algorithm's execution is also observed to be part of the proposed system, as shown in Figure 6:4 The individual vehicular node, the transfer rate in Kbps, and a directional analysis are depicted in Figure 6:5  
Figure 6:6 Algorithm execution time with respect to vehicular density.