Conference Paper
Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
Abstract
This paper proposes an optimization framework for pre-disaster air mobility planning. It aggregates airport operational data, estimates evacuation-flight capacity without disrupting regular traffic, and introduces a neural-network-accelerated genetic algorithm to reduce computational overhead while preserving planning quality for airport schedule adjustment.
Plain-Language Summary
The paper uses neural networks to speed up a genetic algorithm for planning evacuation flights before weather disasters, helping airports respond faster under constrained operating conditions.
Why This Paper Matters
The work supports faster decision-making for air mobility operations when severe weather events are approaching.
Research Summary
This paper focuses on air mobility planning before weather-related disasters. As severe weather approaches, airports may need to support evacuation or disruption-management operations while still preserving regular traffic as much as possible.
The study formulates the planning problem as an optimization task and uses a genetic algorithm to search for effective evacuation-flight schedules. A neural network is used to accelerate the genetic algorithm and reduce computational overhead.
This approach is useful because emergency planning often requires timely decisions. Faster optimization can help planners evaluate more scenarios while maintaining operational feasibility.
Key Contributions
- Models airport schedule adjustment for pre-disaster evacuation planning.
- Uses multi-airport operational data to estimate outgoing evacuation capacity.
- Introduces a neural-network-accelerated genetic algorithm.
- Shows reduced computational overhead while maintaining comparable optimization quality.
Publication Details
- Type
- Conference Paper
- Venue
- IEEE ITSC 2024
- Year
- 2024
- Pages
- 1290-1295
Authors
Acharya K., Velasquez A., Liu Y., Liu D., Sun L., Song H. H.
Research Topics
Links and Access
Citation
@inproceedings{acharya2024-improving-air-mobility-for-pre-disaster-planning-with-neural-network-accelerated-genetic-algorithm,
title = {Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm},
author = {Acharya K. and Velasquez A. and Liu Y. and Liu D. and Sun L. and Song H. H.},
booktitle = {IEEE ITSC 2024},
year = {2024},
doi = {10.1109/ITSC58415.2024.10920105}
}