An airport is a multi-stakeholders environment, with work processes and operations cutting across a number of organizations. Airport landside operations involve a variety of services and entities that interact and depend on each others. In this paper, we introduce the Landside Modelling and Analysis of Services (LAMAS) tool, which is a multi-agent system, to simulate, analyze and evaluate the interdependencies of services in airport operations. A genetic algorithm is used to distribute resources among the different entities in an airport such that the level of service is maintained. The problem is modelled as a multi-objective constrained resource allocation problem with the objective functions being the maximization of quality of service while reducing the total cost.
No takes yet. Share an insight, caveat, or question.
Tang et al. (2009) studied this question.
Synapse has enriched one closely related paper. Consider it for comparative context: