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Classification of Air Transport Passengers' Kinetic Behavior

Milbredt, Olaf and Claßen, Axel B. and Rudolph, Florian and Grunewald, Erik (2018) Classification of Air Transport Passengers' Kinetic Behavior. In: AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics. SciTech Forum 2018, 8-12 January 2017, Kissimmee, Florida, USA. DOI: 10.2514/6.2018-0422

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Abstract

Purpose Meeting the needs of passengers will increasingly become a competitive factor for airports. To meet passengers' needs even better, airports need to employ a passenger-centric viewpoint. Real-time information about flights is already passed to passengers nowadays. A next step towards passenger-centric services will be to use real-time information about passenger movement and behavior for an improved operational airport management. The goal of this research is to estimate passenger flows, level of service, and resulting infrastructure utilization at an airport. Methodology In this paper we employ a combined approach. In the first part we consider, trajectory and velocities of each individual passenger which is assumed to be captured by means of a technology in place (e.\,g.\ camera or laser). We use the quantities walking speed, variability of the trajectory, and stopping ratio to categorize passengers. In the second part we define areas of the airport along with transfer probabilities. These are used to refine possible next waypoints identified in the first part. The transfer probabilities could be extracted from a survey undertaken at an airport during real operations. The approach can be applied at any airport and is compatible with various motion prediction techniques. Expected findings We use the quantities described above to divide passengers into different categories such as ``going straight'', ``finding the way'', and ``walking around''. The first category ``going straight'' specifies passengers with a goal and a clear idea of how to get there. The second category consists of passengers who need to find their next waypoint or the route to an already identified place. In the last category there are passengers who are waiting or strolling. The transfer probabilities together with the trajectory of a specific passenger in the category can provide an estimation of the goal of the passenger. The entirety of passengers and their goals yield a probability distribution throughout the airport area. Contribution We adapted the approach originally developed for pedestrians in a shopping mall to the situation of an airport. In this paper, we apply our approach to model movements of passengers and to movement data derived from a microscopic simulation. In contrast to passenger flow simulations, the approach can be applied to passenger movements in real-time, providing the possibility to improve operational airport management.

Item URL in elib:https://elib.dlr.de/111251/
Document Type:Conference or Workshop Item (Speech)
Title:Classification of Air Transport Passengers' Kinetic Behavior
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Milbredt, Olafolaf.milbredt (at) dlr.dehttps://orcid.org/0000-0001-7388-7026
Claßen, Axel B.axel.classen (at) dlr.deUNSPECIFIED
Rudolph, FlorianFlorian.Rudolph (at) dlr.dehttps://orcid.org/0000-0001-9997-6094
Grunewald, ErikErik.Grunewald (at) dlr.dehttps://orcid.org/0000-0002-5657-253X
Date:January 2018
Journal or Publication Title:AIAA Modeling and Simulation Technologies Conference
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.2514/6.2018-0422
Publisher:American Institute of Aeronautics and Astronautics
Status:Published
Keywords:Operational Airport Management, Human Kinetic Behavior, Human Motion Classification, Trajectory, Wayfinding
Event Title:SciTech Forum 2018
Event Location:Kissimmee, Florida, USA
Event Type:international Conference
Event Dates:8-12 January 2017
Organizer:American Institute of Aeronautics and Astronautics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Optimode.net (old)
Location: Braunschweig , Köln-Porz
Institutes and Institutions:Institute of Air Transport and Airport Research > Airport Research
Deposited By: Milbredt, Dr. Olaf
Deposited On:19 Jan 2018 11:20
Last Modified:25 Jan 2019 10:14

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