Aerial Vehicle Service Allocation System
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Solution Overview
Problem
Current systems face challenges in efficiently pooling and managing third-party aerial vehicles for multi-modal transportation services, particularly in densely populated urban areas, due to space constraints and operational complexities.
Innovation Solution
A computing system is developed to obtain and analyze multi-modal transportation service data and aerial vehicle attributes, predicting performance metrics to generate targeted service requests for aerial vehicle providers, optimizing the allocation of aerial vehicles for transportation services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If third-party aerial vehicles are pooled for multi-modal transportation services, then service coverage and capacity are improved, but operational complexity and management difficulty increase
Solution Approach 1:
The patent introduces a computing system that acts as an intermediary between service entities and aerial vehicle providers. This system receives service requests, determines performance data based on vehicle attributes and service requirements, generates optimized service requests, and facilitates matching. The intermediary handles the complexity of coordinating multiple third-party vehicles, allowing service entities to benefit from expanded coverage without directly managing the operational complexity themselves.
2Loss of time
If aerial vehicles are used for urban transportation, then travel time is reduced, but space requirements for take-off and landing increase
Solution Approach 1:
The patent enables transitions from ground-based to aerial transportation by incorporating vertical take-off and landing (VTOL) capabilities. This dimensional change allows vehicles to operate in three-dimensional space rather than being constrained to ground-level infrastructure, dramatically reducing the footprint required for take-off and landing while maintaining or improving travel time efficiency.
3Productivity
If service requests are generated for multiple aerial vehicle providers, then service availability is improved, but computational resources are consumed
Solution Approach 1:
The patent performs preliminary determination of performance data by analyzing vehicle attributes and service requirements before generating service requests. The computing system pre-processes information to identify suitable vehicles and optimize request parameters, which reduces the computational burden when distributing requests across multiple providers and improves overall service availability through more efficient resource utilization.
Data Source
AI summary
Systems and methods for facilitating aerial vehicle services are provided. A service entity system can obtain multi-modal transportation services data indicative of a plurality of anticipated aerial transportation service. The service entity system can obtain vehicle attributes associated vehicle(s) of an aerial vehicle provider and determine an expected performance of the vehicle(s) based on the vehicle attributes and the anticipated aerial transportation services. The service entity system can generate an aerial vehicle service request that requests access to the vehicle(s) for providing aerial transportation services for the service entity based on the expected performance of the vehicle(s). A vehicle provider system can obtain a number of different aerial vehicle service requests from a number of different service entities. The vehicle provider system can select portions of the different aerial vehicle service requests to accept and provide access to vehicle(s) of the vehicle provider based on the selected portions.