ACCESS

ACCESS (Application of Agent-Based Computational Economics to Strategic Slot Allocation) was a research project within SESAR WPE Long Term and Innovative Research which addresses the problem of airport slot allocation from the perspective of complex adaptive systems.

Due to the complexity of the combinatorial assignment problems underlying primary slot auctioning and secondary slot trading, agent-based computational economics provided a particularly suitable framework to undertake a rigorous and formal study of different alternatives for market design, allowing the modelling and exploration of features —such as bounded rationality, evolutionary behaviour or asymmetry of information— that were not properly captured by classical approaches from economics and operations research.

INSISOC provided its know-how in agent-based modelling and simulation, auction theory, game theory and evolutionary learning. We analysed, designed, modelled and simulated market mechanisms for the slot allocation problem.

INSISOC led several work packages, and supported the execution of simulations. We also participated in dissemination activities.