AATOM: AN AGENT-BASED AIRPORT TERMINAL OPERATIONS MODEL SIMULATOR

被引：0
作者：
Janssen, Stef [1 ]
Sharpanskykh, Alexei [1 ]
Curran, Richard [1 ]
Langendoen, Koen [1 ]
机构：
[1] Delft Univ Technol, Mekelweg 5, NL-2628 CD Delft, Netherlands
来源：
PROCEEDINGS OF THE 2019 SUMMER SIMULATION CONFERENCE (SUMMERSIM '19) | 2019年
关键词：
Airport terminal; Agent-based modeling; Security; Resilience; Passenger flow; SECURITY;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
AATOM, the Agent-based Airport Terminal Operations Model simulator is open-source, agent-based at its core, and contains several calibrated presets and templates of basic airport terminal components that can readily be used. Agents in this simulator follow the AATOM architecture, an activity-based architecture for human airport agents. This allows analysis based on agent activities, such as shopping and checkin, which is of vital interest for airports. The combination of agent-based modeling and the presence of basic airport terminal components makes AATOM a unique simulator, allowing the modeler to only focus on implementation of important features of their model. The usefulness of AATOM is demonstrated by presenting case studies in the areas of airport security, gate assignment and resilience.
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页数：12
相关论文
共 26 条
  • [21] Modeling response times for two-choice decisions
    Ratcliff, R
    Rouder, JN
    [J]. PSYCHOLOGICAL SCIENCE, 1998, 9 (05) : 347 - 356
  • [22] Shimada Eriko, 2018, PRIMA 2018: Principles and Practice of Multi-Agent Systems. 21st International Conference. Proceedings: Lecture Notes in Artificial Intelligence (LNAI 11224), P621, DOI 10.1007/978-3-030-03098-8_49
  • [23] Spans Jeroen, 2018, INTEGRATED APPROACH
  • [24] Taillandier P, 2012, LECT NOTES ARTIF INT, V7057, P242
  • [25] Tisue S., 2004, Int. Conf. Complex Syst, V21, P1
  • [26] Effects of passenger characteristics and terminal layout on airport retail revenue: an agent-based simulation approach
    Wu, Cheng-Lung
    Chen, Yimeng
    [J]. TRANSPORTATION PLANNING AND TECHNOLOGY, 2019, 42 (02) : 167 - 186
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