As an AI language model, I do not have current or up-to-date information about transportation architectures in real-time. However, here are some potential ways transportation architecture could handle sudden increases in ridership:
1. Increase service frequency: Transportation systems can increase the frequency of service, whether it's buses, trains, or other modes of transport, to accommodate more riders. This would require having additional vehicles and staffing available.
2. Modify route planning: Transportation systems may consider altering their route planning to cover high-traffic areas more efficiently. This would require coordination and communication with existing users and stakeholders.
3. Implement more efficient payment methods: Implementing more efficient payment methods, like contactless payment, can help to reduce waiting times and allow passengers to board faster, which can help to alleviate congestion.
4. Increase capacity: Transportation infrastructure may need to be improved or expanded to accommodate more people. This could involve adding more vehicles, increasing the size of transport vehicles, or introducing new modes of transportation that can handle large numbers of passengers.
5. Innovative technologies: Transportation systems can utilize innovative technologies such as real-time traffic data analytics, AI-based transport management, and augmented reality sensors to mitigate sudden increases in ridership challenges.
However, implementing any of these solutions will require significant investment and planning. Additionally, additional resources and infrastructure may need to be built to accommodate the increased capacity and demand for transportation services.
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