Scenario-Based Vehicle Trajectory Planning for Safety and Efficiency
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Solution Overview
Problem
Conventional trajectory planning methods for aircraft are overly conservative and lack flexibility, leading to sub-optimal flight operations and limited interaction with air traffic management systems, resulting in inefficient flight paths and increased workload for flight crews.
Innovation Solution
A data processing apparatus that determines vehicle trajectories based on objective parameters, constraint parameters, and potential situations, allowing for flexible trajectory planning that optimizes parameters such as energy consumption, fuel use, and safety constraints, while considering multiple scenarios and situations, including emergencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional trajectory planning methods are used to ensure safety, then safety requirements are met, but operational efficiency deteriorates and flight paths become inefficient
Solution Approach 1:
The system dynamically adjusts trajectory parameters based on real-time conditions including weather, air traffic, and vehicle performance. The trajectory is not fixed but continuously optimized based on changing operational circumstances, allowing the system to adapt between safety and efficiency requirements as conditions demand
Solution Approach 2:
The system changes multiple trajectory parameters simultaneously (altitude, speed, heading, timing) to optimize the overall flight path. By coordinating changes across multiple parameters rather than adjusting them sequentially or conservatively, the system achieves more efficient operations while maintaining safety through integrated optimization
2Reliability
If conservative trajectory solutions are generated to satisfy safety constraints, then safety is ensured, but flexibility and adaptability to different situations are reduced
Solution Approach 1:
The system pre-calculates multiple potential trajectory solutions and prepares alternative plans in advance. By having pre-computed trajectory options and understanding vehicle performance characteristics ahead of time, the system can quickly adapt to changing situations without compromising safety, selecting from prepared options rather than reacting conservatively to each change
Solution Approach 2:
The trajectory planning system operates dynamically by continuously reoptimizing based on real-time conditions. The system maintains flexibility by allowing continuous adjustments to trajectory parameters while preserving safety through ongoing validation against safety constraints, enabling adaptability without conservative rigidity
3Adaptability or versatility
If manual interventions by flight crew are required to meet operational restrictions, then operational requirements are satisfied, but crew workload increases and procedures become complicated
Solution Approach 1:
The flight management system automatically manages trajectory optimization and operational restriction compliance without requiring continuous manual intervention. The system self-adjusts trajectory parameters, monitors operational constraints, and executes optimal flight paths autonomously, freeing the flight crew from routine manual adjustments while maintaining operational requirement satisfaction
Solution Approach 2:
The system continuously monitors operational parameters and provides real-time feedback to maintain compliance with operational restrictions. By having automated feedback loops that detect and correct deviations from optimal trajectories or operational constraints, the system eliminates the need for manual monitoring and adjustment, reducing crew workload while ensuring operational requirements are met
4Device complexity
If limited information exchange occurs between onboard flight path planning and air traffic management systems, then system complexity is reduced, but operational efficiency and coordination are limited
Solution Approach 1:
The flight management system is designed with multi-functional capabilities that handle both onboard trajectory optimization and external communication with air traffic management. By integrating multiple functions including trajectory calculation, constraint monitoring, and information exchange in a unified system architecture, the system achieves efficient coordination without proportionally increasing complexity
Data Source
AI summary
The present disclosure relates to an apparatus (e.g., a data processing apparatus) for planning a route of a vehicle. The apparatus is configured to: determine a trajectory solution TS1, TS2 for the vehicle based on: one or more objective parameters; at least one scenario SN, S1, S2 defined by one or more constraint parameters relating to the vehicle and/or to a journey the vehicle is to make; and at least one situation N, ET, ER which the vehicle could experience while making the journey. The present disclosure also relates to a computer-implemented method for planning a route of a vehicle.