Travel Path Setting Using Predictable Risk Maps
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Solution Overview
Problem
Existing techniques for setting travel paths for movable bodies, such as aircraft, primarily consider atmospheric conditions and may overlook other safety-threatening factors like birds, other aircraft, or unpredictable obstacles, leading to potential hazards during flight.
Innovation Solution
A travel path setting apparatus and method that acquires surrounding information, uses probability models to create predictable scenarios for future times, and integrates these scenarios into risk maps to search for and set a path with the lowest risk, considering various factors that could impact safety, including obstacles and weather.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only current surrounding information is used to set the travel path, then the path setting process is simple and fast, but the movable body may run into hindrances that were not recognized when the information was acquired
Solution Approach 1:
The system performs preliminary actions by predicting future surrounding situations at multiple predetermined times and creating risk maps in advance. The path searching unit then searches for a safe travel path based on these pre-created risk maps, allowing the system to account for future hazards without adding complexity to the real-time decision-making process
Solution Approach 2:
The system dynamically adapts to changing conditions by creating multiple predictable scenarios for different future times and integrating them into comprehensive risk maps. This dynamic approach allows the path setting to evolve with changing surrounding situations while maintaining a systematic framework
2Reliability
If only atmospheric conditions are considered for flight path modification, then the path setting process is simple, but other safety-threatening factors like birds, other aircraft, and unpredictable obstacles are overlooked
Solution Approach 1:
The risk map creation unit serves multiple functions by integrating various types of hazards (atmospheric conditions, birds, other aircraft, and unpredictable obstacles) into a single comprehensive risk map. This universal approach allows diverse safety threats to be assessed and managed through one unified system rather than separate specialized systems
Solution Approach 2:
The system performs preliminary risk assessment by predicting future surrounding situations and creating risk maps in advance for multiple predetermined times. This allows comprehensive consideration of various safety threats before the actual flight path is determined, enabling proactive rather than reactive safety management
3Reliability
If multiple predictable scenarios for different future times are created and integrated, then the travel path safety is improved, but the computational complexity and processing time increase
Solution Approach 1:
The system creates risk maps in advance for multiple predetermined times in the future, performing the computationally intensive scenario prediction and integration work before the actual path decision is needed. This preliminary action allows the path searching unit to quickly find a safe path by referencing pre-prepared risk information
Solution Approach 2:
The system dynamically balances computational effort by selecting multiple predetermined times in the future for risk map creation. This dynamic approach allows the system to adjust the level of future prediction based on operational needs, optimizing the balance between safety and processing time
Data Source
AI summary
A travel path setting apparatus includes an information acquiring unit, a memory, a predictable scenario creating unit, and a path searching unit. The information acquiring unit acquires surrounding information on a surrounding situation of a movable body. The memory stores a probability model related to the surrounding situation of the movable body. The predictable scenario creating unit creates, on a basis of the surrounding information and the probability model, a plurality of predictable scenarios for each of a plurality of predetermined times in future. The predictable scenarios are each the surrounding situation of the movable body that is predicted for corresponding one of the predetermined times. The path searching unit searches for and sets the travel path on a basis of the predictable scenarios created by the predictable scenario creating unit.