Passenger Flow Simulation (PFS) In A Complex Networked Transportation System

Passenger trip time performance is positively correlated with passenger satisfaction, airfare elasticity, and airline profits. Researchers have demonstrated that flight metrics are poor proxy for passenger trip experience. Trip delays experienced by passengers due to missed connections and cancelled flights are not negligible. This paper describes a passenger flow simulation which captures the asymmetric and unique passenger trip on-time performance and reflects the complexity and significance of the impact of a small set of cancelled flights and missed connections on passenger trip delays. It measures the system performance from the flying public's view. Furthermore, it enables researchers to conduct experiments outside the range of historical data. The results of this research provide decision makers with improved metrics for future investment decisions and better tools to manage the system. The passenger flow simulation model also provides the means to perform analysis for proposed changes to the system.