## 5 Discussion
This approach eliminates the bottleneck that occurs when vehicles are waiting for pedestrians to clear the crosswalk, allowing vehicles to turn without obstruction. As a result, traffic flow is improved, and vehicles can move through the intersection more efficiently. Moreover, pedestrian safety is enhanced because they are not forced to navigate through turning vehicles. This separation of phases--vehicle turning and pedestrian crossing--creates a more organized and predictable traffic environment, helping both vehicles and pedestrians coexist more harmoniously, reducing congestion and improving overall traffic management at busy intersections. When applied to a simulation, the methodology allows for the analysis of mobility-related costs, with results indicating that the system begins to be overwhelmed when there are 1,600 pedestrians per side of the crossing. Therefore, for this specific intersection, it is recommended to use this system up to that level of increased pedestrian traffic. Moreover, while the Shibuya crossing increases pedestrian delays, it also reduces vehicle congestion, making it a favorable option in terms of traffic flow management. This study paves the way for future research, both in symmetric crossings and in further exploration of the methodology's application to other asymmetric intersections. It also suggests modifying the crossing area itself (such as through widening) and studying its impact. Additionally, the feasibility of implementing a Shibuya-style crossing could be explored. A Shibuya crossing would create a dedicated pedestrian phase, where no vehicle movements occur, allowing pedestrians to cross in all directions. However, implementing such a crossing would require studying the time needed for individuals with reduced mobility to cross diagonally (since the crossing distance would increase), and analyzing the impact of this additional time on the overall crossing operation. Further research would be needed to assess the feasibility and implications of such a system. In addition, this study can be expanded to other intersections by taking into account local realities, such as the distribution of vehicular and pedestrian flow arriving at the intersection. Local variations, including traffic patterns, peak hours, and the specific characteristics of the area, should be considered in order to accurately simulate and predict traffic behavior. Incorporating adjustments for delays is crucial, as vehicles and pedestrians may exhibit risky behaviors that could affect safety and efficiency. For example, pedestrians may cross the intersection while the signal is red, leading to potential conflicts with vehicles. Similarly, vehicles may attempt to make turns or change lanes under less than optimal conditions, causing congestion or unsafe situations. These factors can significantly influence the flow and safety of the intersection, making it important to account for such behaviors when modeling the intersection's performance. Additionally, various scenarios, such as different weather conditions, changes in pedestrian volume, or even special events that might increase pedestrian or vehicle traffic, should be simulated to test the intersection's adaptability. Implementing real-time data, such as the use of sensors or smart traffic signals, could further improve the accuracy of the simulations, allowing for dynamic adjustments based on actual traffic conditions. By expanding the study to incorporate these local conditions and behaviors, more comprehensive and effective traffic management strategies can be developed. This approach would not only improve the efficiency of intersections but also enhance the safety of both pedestrians and vehicles, reducing the likelihood of accidents and improving the overall transportation experience.