Dynamic Skylane Assignment for eVTOL Noise and Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current aircraft routing techniques lack the computational flexibility to effectively allocate airspace for dynamic operating conditions of electric vertical takeoff and landing (eVTOL) aircraft in dense urban environments, particularly in terms of noise and maneuverability constraints, leading to inefficiencies in air travel.
Innovation Solution
A computing system that dynamically generates and updates a network of skylanes by leveraging airspace data, aircraft track data, and restricted zone data to assign eVTOL aircraft to optimal routes, considering operating constraints such as noise limits, weather, and demand patterns, thereby improving route planning and integration with air traffic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current aircraft routing techniques are used, then simplicity of routing is maintained, but computational flexibility and adaptability to dynamic operating conditions deteriorate
Solution Approach 1:
The routing system is segmented into multiple specialized components: a route assessment engine that evaluates operating constraints, a skylane computation engine that generates optimal paths, and a deployment engine that assigns aircraft to skylanes. This segmentation allows each component to handle specific computational tasks independently, improving overall flexibility without overwhelming system complexity.
Solution Approach 2:
The routing system transitions from static pre-defined paths to dynamic skylanes that are computed in real-time based on current operating conditions. The system continuously reassesses noise constraints, weather conditions, and air traffic data to adaptively generate and update skylane configurations, enabling the routing structure itself to be dynamic rather than fixed.
2Productivity
If dynamic skylane computation is implemented, then route optimization and noise constraint satisfaction improve, but computational resource requirements increase
Solution Approach 1:
The system performs preliminary route assessments and skylane computations in advance of actual aircraft deployment. By pre-evaluating multiple potential routes against noise constraints and operating conditions, the system prepares optimized skylane configurations beforehand, reducing the computational burden during real-time operations and enabling faster aircraft throughput without proportionally increasing real-time computational resource usage.
Solution Approach 2:
The system changes key parameters such as skylane altitude, horizontal position, and speed profiles to optimize aircraft throughput while maintaining noise constraint compliance. By dynamically adjusting these parameters based on real-time conditions, the system achieves higher productivity without requiring proportional increases in computational resources, as the same computational framework reuses evaluated route options with modified parameters.
3Object-affected harmful factors
If noise constraints are strictly enforced, then noise impacts are reduced, but available routing options and operational flexibility decrease
Solution Approach 1:
The system resolves noise constraints by utilizing the vertical dimension through multi-level skylanes at different altitudes. When noise constraints are violated at lower altitudes, the route assessment engine automatically generates alternative skylanes at higher altitudes, providing additional routing options without compromising noise compliance. This dimensional approach maintains operational flexibility by offering multiple vertical layers for aircraft routing.
Solution Approach 2:
The route assessment engine acts as an intermediary between noise constraints and routing decisions. It evaluates potential routes against noise constraints and, when violations are detected, generates modified alternative routes that satisfy the constraints. This intermediary process maintains operational flexibility by providing multiple compliant routing options rather than simply rejecting constrained routes, allowing the system to adapt while enforcing noise limits.
4Reliability
If real-time route assessment is performed, then operating constraint compliance improves, but computational time and processing requirements increase
Solution Approach 1:
The route assessment engine performs preliminary evaluations of potential skylanes against operating constraints before aircraft deployment. By pre-assessing noise constraints, weather conditions, and air traffic conflicts for multiple candidate routes, the system identifies compliant skylanes in advance, ensuring constraint compliance while reducing the time required for real-time decision-making during actual aircraft operations.
Solution Approach 2:
The system applies local quality assessment by evaluating specific segments of potential skylanes against relevant operating constraints rather than uniformly assessing entire routes. The route assessment engine identifies which portions of a route may violate constraints (such as noise-sensitive areas or restricted zones) and focuses computational resources on modifying or avoiding those specific segments, maintaining high constraint compliance while reducing overall computational time.
Data Source
AI summary
A method of assigning an electric vertical takeoff and landing (eVTOL) aircraft to a skylane includes accessing: (i) a trip request for aerial transport at a particular travel time from an origin location to a destination location within a particular geographic area; and (ii) skylane network data indicative of a plurality of skylanes for eVTOL aircraft travel in the particular geographic area. A subset of the plurality of skylanes are computed as candidate skylanes for servicing the trip request. The candidate skylanes are determined based on a route assessment configured to evaluate an operating constraint associated with respective skylanes relative to parameter data for the particular geographic area at the particular travel time. A selected skylane is computed from the candidate skylanes for servicing the trip request, and a trip assignment is generated for deployment of an eVTOL aircraft from the origin location into the selected skylane.