Abstract
The conflicting needs of meeting the growth of air traffic, mitigating the resulting additional air pollution, and reducing costs derived from congestion at airports will push toward the modernization of ground operations and airport management. In this framework, a new solution is proposed to perform just-in-time taxi operations using autonomous electric towbarless tractors. The purpose of this solution was to eliminate queues and to reduce the environmental and economic impacts of ground operations so as to meet the requirements for future air traffic management. A hybrid particle swarm optimization algorithm is developed to provide conflict-free schedules for tractor autopilots. To improve the rate of convergence of the algorithm, a parameter-fixing algorithm has been developed, which constrains the particle elements based on the particle history.
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