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Main Title: Agent-based modelling of air transport demand
Author(s): Grether, Dominik
Nagel, Kai
Type: Conference Object
Language Code: en
Abstract: Constraints such as opening hours or passenger capacities influence travel options that can be offered by an airport and by the connecting airlines. If infrastructure, policy or technological measures modify transport options, then the benefits do not only depend on the technology, but also on possibly heterogeneous user preferences such as desired arrival times or on the availability of alternative travel modes. This paper proposes an agent-based, iterative assignment procedure to model European air traffic and German passenger demand on a microscopic level, capturing individual passenger preferences. Air transport technology is simulated microscopically, i.e. each aircraft is represented as single unit with attached attributes such as departure time, flight duration or seat availability. Trip-chaining and delay propagation can be added. Microsimulation is used to verify and assess passengers’ choices of travel alternatives, where those choices improve over iterations until an agent-based stochastic user equilibrium is reached. This requires fast simulation models, thus, similar to other approaches in air traffic modelling a queue model is used. In contrast to those approaches, the queue model in this work is solved algorithmically. Overall, the approach is suited to analyze, forecast and evaluate the consequences of mid-distance transport measures.
Issue Date: 2013
Date Available: 4-Apr-2019
DDC Class: 500 Naturwissenschaften und Mathematik
Subject(s): air transport demand
long distance travel
multi-agent simulation
transportation systems modelling
Proceedings Title: World Conference of Air Transport Research Society (ATRS), Bergamo, Italy, June 2013
Publisher: Air Transport Research Society (ATRS)
Publisher Place: Maryland
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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