Mixed-Integer Linear Programming Model for Collision Avoidance Planning in Commercial Aircraft Formations

TL;DR

This paper introduces an optimization model for collision avoidance in commercial aircraft formations, addressing the complex interactions and providing strategies for safe formation flight amidst intruders.

Contribution

It presents a novel mixed-integer linear programming model specifically designed for collision avoidance in commercial aircraft formations, filling a gap in existing research.

Findings

Provides avoidance paths for formations facing intruders

Offers insights for developing formation flight strategies

Supports practical implementation of formation flying

Abstract

With advancements in technology, commercial aircraft formation flying is becoming increasingly feasible as an efficient and environmentally friendly flight method. However, gaps remain in practical implementation, particularly in collision avoidance for aircraft formations. Existing avoidance algorithms mainly focus on single aircraft or UAV swarms, lacking comprehensive studies on the complex interactions within commercial aircraft formations. To address this, this paper proposes an optimization model designed to generate safe and effective collision avoidance solutions for commercial aircraft formations. This model demonstrates avoidance paths for formations facing intruders and offers insights for developing formation flight strategies. This study explores response strategies for commercial aircraft formations encountering intruders, considering the difficulty of pilot maneuvers. The findings provide theoretical support for the practical implementation of commercial formation flying and may advance the adoption of this technology.