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This agent-based simulation deals with the railway connection of the Vienna International Airport and was created using the simulation program AnyLogic. With this program a transportation company should be able to estimate easily which timetable allows to transport a maximum of passengers without the use of too many trains. Introduction The Vienna International Airport is located in the centre of Europe. This makes the airport an important platform for international air travelling especially in Central and Eastern Europe. In 2013 arou nd 22 m illion passengers were transported. There are more than 15 million people who need to be transported to the airport. Additionally the airport staff uses the di fferent tra nsportation possibilities as well [1]. This simulation i nvestigates and sim ulates the railway connecti on of t he airport usi ng t he Java-base d simulation program AnyLogic. Depending on various parameters that mostly can be changed by the user , this m odel offers a simplified presentation of a pa ssenger movement at the airport between gates and railway st ation. Moreover the trai ns of the Viennese S-Ba hn a nd t he City Airport Train (CAT) are simulated. These trains are created according to the original timetable, but the amount of trains can be increased by the user , which leads to a shorter tim e interval of the trains during rush hours. Furthermore the expenses, i ncome and profit of the railway com panies are calculated as well. 1 The Model There are ni ne types of agents re presenting di fferent types of passengers and different types of trains: • Incoming economy/business travelers • Outgoing economy/business travelers • Passengers who do not use a train for airport transportation • Incoming S-Bahn/CAT trains • Outgoing S-Bahn/CAT trains This amount of different agents is necessary because all of them have different goals and feat ures. They will be described in later on in much more detail. The parameters that are variable are: • Percentage of train travelling passengers • Percentage of S-Bahn travelling passengers • Percentage of passengers who only have hand luggage • Walking speed of passengers • Capacity of the trains • Ticket price • Working expenses Passenger pa rameters are se parated into e conomy and business, train parameters into S-Ba hn and CAT. There is also the possibility to add an arbitrary am ount of additional trai ns for each tr ain provider during a ti me interval which can be inserted too. The environment in which the agents act and interact is a sim plified illustration of the airport i ncluding its railway station and rails, c heck-in, baggage claim area and the main exit as show n in Figure 1. The passenger representing agents are moving in this environment. The other agents, who represent the trains are moving along the railways that are attached to the railway station. Simulation Notes Europe SNE 24(3-4), 2014, 123 126 DOI: 10.11128/sne.24.sn.10253 Received: March 25, 2014; Revised September 10, 2014; Accepted: October 20, 2014; B Glock et al. Agent-based Simulation of Railway Connection for Vienna Airport 124 SNE 24(3-4) – 12/2014 SN Figure 1: Simplified model of the Vienna International Airport used in the simulation. ‘Bahnhof’ stands for railway station and ‘Gepäckausgabe’ means baggage claim area. In addition there are two graphics that illustrate the expenses, income and profit of the railway companies. Another dia gram illustrates pr oportionately how passengers arrive at or leave from the airport.

Agent-based Simulation of the Railway Connection from and to the Vienna International Airport