Simulation and Optimization for the Airport Passenger Flow

Abstract

Airport is an ideal application area of simulation. Passenger flow is very important for the airport waiting room management and operation. A simulation model is developed to analyse the airport waiting room using commercially available simulation software Arena 9.01 in this paper. The simulation model can be used to gain insights into the presence of bottlenecks and their causes, and to evaluate the key performance measures of the system. Through optimization, different resources can be reassigned. Therefore, it provides the basis for increasing utilization of facilities and improving service level.

Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes

“…In [19] the authors compare different multicriteria evaluation methods to analyze passengers' preferences and satisfaction with respect to the performed passenger service. In [20] the authors combine optimization and simulation to model the airport passenger flow and to assign the resources to tasks in order to improve the level of services.…”

“…e objective function involves the following cost items: (C 0 ) is the cost for activating a Check-in counter; (C sc ) is the cost for activating a Security Control gate; (CP sc ) is the discomfort cost of the passenger at the Security Control queue; (CP cB ) is the discomfort cost of a business passenger at a common Check-in counter queue; (CP dB ) is the discomfort cost of a business passenger at a dedicated Check-in counter queue; (CP c ) is the discomfort cost of a tourist passenger at a common Check-in counter queue; and (CP d ) is the discomfort cost of a tourist passenger at a dedicated Check-in counter queue [10,20]. Hence, the objective function OF, to be minimized, is…”

Modeling and Managing Airport Passenger Flow Under Uncertainty: A Case of Fukuoka Airport in Japan

“…The simulation research is mainly classified into discrete event simulation (DES) and agent-based simulation (ABS) [5]. DES can represent that heterogeneous entities [11,19], which do not have decision making capability, behave in pre-determined process, while ABS enable us to describe complex micro or individual level decision making and interactions in detail [13,20,27,31]. The passengers in FUK int'l terminal departure floor, advance in the pre-determined procedures, but have heterogeneous characteristics that affect the procedure time in each facility.…”