Dynamic Air Mobility Route Guidance Using Node Cost Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current air mobility systems lack the ability to dynamically adjust flight routes in real-time based on changing atmospheric and communication conditions, leading to potential adverse factors affecting flight operations.
Innovation Solution
An apparatus and method for guiding a flight route of an air mobility, which includes a communication device and a processor. The processor calculates costs between nodes in an airspace based on flight environment information, determines departure and arrival nodes, and optimizes the flight route to minimize the sum of costs between transit nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the flight route is fixed in advance, then the flight plan is simple and easy to manage, but the system cannot respond to real-time changes in weather and communication conditions
Solution Approach 1:
The flight route is transformed from a static pre-defined path to a dynamic route that adapts in real-time based on weather conditions, communication quality, and flight progress. The system continuously updates the flight route by calculating costs between nodes and determining optimal paths, enabling the route to respond dynamically to changing environmental conditions while maintaining manageable complexity through automated processing.
2Loss of time
If the flight route is optimized for minimal flight time, then the air mobility arrives at destination quickly, but the system may not account for adverse weather conditions affecting safety
Solution Approach 1:
The system uses multiple parameters including wind speed, wind direction, communication quality, and distance to calculate the cost of each flight segment. By changing and weighting these parameters dynamically, the system optimizes flight time while accounting for safety considerations through the cost function that evaluates different route options based on current environmental conditions.
3Productivity
If real-time flight environment information is collected and processed, then the flight route can be optimized dynamically, but the computational complexity and data processing requirements increase
Solution Approach 1:
The airspace is divided into discrete nodes that represent specific locations or regions. This segmentation allows the system to process flight route information in manageable units, calculating costs between individual nodes rather than processing continuous spatial data. The segmented approach reduces computational complexity while maintaining the ability to optimize the overall flight route dynamically.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An embodiment apparatus includes a communication device for communicating with first and second air mobilities, one or more processors for guiding a flight route of the second air mobility based on flight environment information obtained by the first air mobility, and a non-transitory storage device storing a program to be executed by the one or more processors, the program including instructions to determine a cost between an arbitrary source node set in an airspace and a neighboring node adjacent to the source node based on the flight environment information, determine departure and arrival nodes among the plurality of nodes based on flight information of the second air mobility scheduled to fly in the airspace for which the cost is calculated, and determine the flight route of the second air mobility to minimize a sum of the cost between transit nodes connecting the departure and arrival nodes.