Aircraft Boarding Wave System Reducing Congestion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current boarding methods are inefficient, leading to prolonged boarding times, passenger congestion, and discomfort, as they fail to account for space occupied by passengers in aisles and do not provide intuitive guidance, resulting in delays and poor passenger experience.
Innovation Solution
A method and system that organize passengers into sequential waves based on the number of passengers and available seats, considering space occupied in the aircraft aisles, using a virtual guide that adapts to passenger movement, allowing for counterflow boarding and ensuring sufficient space for settling, thereby reducing confrontation and optimizing boarding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional boarding methods are used, then passengers can board the aircraft, but boarding time is prolonged and passenger congestion occurs
Solution Approach 1:
The boarding process is divided into sequential waves, with each wave containing multiple groups of passengers. Groups are further segmented by row assignments (e.g., rows 1-5 in first wave, rows 6-10 in second wave). This segmentation allows controlled flow of passengers through the aircraft, preventing congestion while maintaining continuous boarding operation.
Solution Approach 2:
Passengers are pre-assigned to specific groups and waves before boarding begins. The system calculates optimal group assignments based on aircraft configuration, passenger count, and aisle space requirements. This preliminary organization eliminates on-the-spot decision-making and streamlines the boarding process.
2Productivity
If passengers are grouped closely together, then boarding efficiency increases, but aisle space becomes insufficient for settling
Solution Approach 1:
The wave structure dynamically adjusts based on real-time conditions. Each wave is designed to occupy a specific number of passengers that can be accommodated in the available aisle space. The system calculates wave sizes considering aircraft type, aisle width, and passenger settling requirements, allowing optimal utilization of aisle space without overcrowding.
Solution Approach 2:
Boarding occurs in periodic waves with defined intervals. Each wave completes its boarding and settling process before the next wave begins. This periodic structure ensures that aisle space is cleared and replenished in a controlled manner, maintaining sufficient space for passenger movement and settling while sustaining continuous boarding operation.
3Adaptability or versatility
If manual updates are used for boarding instructions, then the system can adapt to boarding conditions, but labor demand increases
Solution Approach 1:
The system automatically calculates wave formations, group assignments, and timing based on input parameters (aircraft type, passenger count, aisle configuration). The algorithm self-adjusts to different boarding scenarios without requiring manual intervention. Ground staff simply need to input basic parameters, and the system generates the complete boarding plan autonomously.
Solution Approach 2:
Manual calculation and adjustment of boarding groups is replaced by an automated computational system. The algorithm processes boarding conditions and generates optimized wave structures, eliminating the need for manual counting, grouping, and instruction updates. This substitution reduces labor demand while maintaining adaptability to various boarding scenarios.
Data Source
AI summary
The present invention relates to a method characterized in that one or more passenger waves having a size corresponding to the number of passengers in the settling process, who may be standing at the same time in an aircraft aisle. The invention also relates to a system and equipment capable of performing a method according to the invention, in addition to corresponding computer programs.