Ride-Sharing Flight Planning With Real-Time Delay Mitigation
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Solution Overview
Problem
Ground-based transportation systems become increasingly constrained and congested in urban areas, failing to meet the transportation needs of a significant number of users, necessitating a more efficient and flexible transportation solution.
Innovation Solution
A computing system generates flight plans for a ride sharing network using real-time information to optimize aircraft flight paths, considering constraints such as aircraft availability, infrastructure, demand, and weather, and dynamically adjusts plans to mitigate delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ground-based transportation is used in urban areas, then transportation infrastructure is available, but the infrastructure becomes increasingly constrained and congested
Solution Approach 1:
The patent transitions from ground-based transportation to aerial transportation, moving the transportation dimension from two-dimensional ground infrastructure to three-dimensional airspace. This allows bypassing ground infrastructure constraints and congestion while maintaining transportation capacity in urban areas.
2Reliability
If flight plans are generated using real-time information, then passenger satisfaction is maximized, but system complexity increases
Solution Approach 1:
The system generates potential flight plans in advance using historical data and forecasts, then refines them with real-time information. This preliminary action reduces the computational burden during real-time execution while maintaining high passenger satisfaction through dynamic adjustments.
Solution Approach 2:
The flight planning system operates dynamically by continuously updating plans based on real-time conditions such as weather, traffic, and passenger requests. This dynamic approach maintains reliability and passenger satisfaction while managing complexity through adaptive algorithms that respond to changing conditions.
3Loss of time
If dynamic adjustments are made to flight plans, then delays are minimized, but computational resources increase
Solution Approach 1:
The system performs preliminary flight plan generation using historical data and forecasts, establishing a baseline plan before real-time conditions require adjustments. This reduces the scope and computational resources needed for real-time dynamic adjustments while minimizing travel time delays.
Data Source
AI summary
The present disclosure provides systems and methods for systems and methods for generating potential flight plans to be used by a ride sharing network, including dynamic and/or automated changes to flight plans that have been engaged with passengers based on real-time information. In particular, the systems and methods of the present disclosure can operate to generate a fleet-level set of potential flight plans which comply with one or more constraints for a fleet of aircraft. The potential flight plans can be exposed into and used by a ride sharing network to provide transportation to users.