Dynamic queueing systems : behavior and approximations for individual queues and for networks

TL;DR: An analytical queuing and network decomposition model developed to study the complex phenomenon of the propagation of delays within a large network of major airports is described and provides insights into the interactions through which delays propagate through the network and the often-counterintuitive consequences.

TL;DR: A simple queueing model of busy airport departure operations is proposed and is calibrated and validated using available runway configuration and traffic data to evaluate preliminary control schemes aimed at alleviating departure traffic congestion on the airport surface.

TL;DR: In this article, a delay causality network (DCN) based on the Granger causality test was built to understand the mechanism of flight delay propagation at the system-level, and the authors found that only about a quarter of airports were involved in delay propagation during the peak travel period.

TL;DR: The research findings suggest that the next generation of slot scheduling models should explore variations of currently used objectives and enrich them with fairness and equity, resource utilisation and environmental considerations, and hybrid solution approaches being able to deal with the size and complexity of slot allocation at network level.