Airport Vehicle Unloading Order Based on Passenger Arrival Prediction
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Solution Overview
Problem
In airport parking lots, when passengers from the same airplane arrive with overlapping vehicle unloading requests, the existing methods can lead to vehicles remaining at the getting on/off area due to improper unloading order, causing inefficiencies and user inconvenience.
Innovation Solution
A vehicle unloading management device and method that predicts the arrival order of passengers based on factors like seat location, baggage handling, and passenger attributes, determining the unloading order to prioritize vehicles of passengers arriving first, thereby optimizing unloading processes and reducing vehicle stay times at the airport parking lot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unload processing is performed according to the order of unload requests, then the unload process is simple and easy to manage, but vehicles may remain at the getting on/off area causing delays for passengers who arrive first
Solution Approach 1:
The system performs preliminary actions by predicting passenger arrival orders and determining vehicle unloading sequences in advance, before the actual unloading process begins. This allows the system to prepare the optimal unloading schedule that prevents vehicles from blocking the getting on/off area, rather than reacting to delays after they occur.
Solution Approach 2:
The system dynamically adjusts the unloading order based on predicted passenger arrival times and other variables, rather than following a fixed request-order sequence. This dynamic optimization ensures that vehicles are unloaded in the most efficient sequence to minimize waiting time and prevent blocking, while still maintaining manageable complexity through automated decision-making.
2Device complexity
If vehicles are unloaded in request order without considering passenger arrival times, then the management system is simple, but efficiency is reduced due to vehicles blocking the getting on/off area
Solution Approach 1:
The system replaces complex manual coordination and real-time human decision-making with an automated prediction and optimization system. By using computational algorithms to predict arrivals and determine unloading sequences, the system achieves high efficiency without requiring complex human management infrastructure, thus improving productivity while keeping the actual operational complexity manageable.
3Ease of manufacture
If the unloading order does not consider passenger arrival sequences, then processing is straightforward, but user experience deteriorates as later passengers receive priority
Solution Approach 1:
The system changes the key parameter for determining unloading priority from simple request order to predicted arrival time. By this parameter change, the system maintains straightforward implementation through automated calculation while significantly improving user experience satisfaction, as passengers are served in the order they actually arrive rather than the order they made requests.
Data Source
AI summary
A vehicle unloading management device includes a processor. When an unload request for unloading a vehicle being loaded in an airport parking lot is received from a passenger of an airplane whose arrival destination is an airport, the processor sets a time period for performing automated unload of the passenger's vehicle. In the process of setting the time period, when at least two unload requests are received from at least two vehicles and time periods for performing automated unload of the at least two vehicles overlap, the processor predicts an arrival order at the airport parking lot of a passengers corresponding to the at least two unload requests with overlapping the time periods. And the processor determines an order for automated unload of the at least two vehicles according to the arrival order.