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Collaborative airport passenger management with a virtual control room

Rudolph, Florian and Grunewald, Erik and Schiele, Martin and Ayazkhani, Amir (2017) Collaborative airport passenger management with a virtual control room. In: Modelling and Simulation in Flight Simulation Conference. Modelling and Simulation for Air Traffic Management, 14.11.2017 – 15.11.2017, London. England.

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Official URL: https://www.aerosociety.com/news/proceedings-modelling-and-simulation-in-flight-simulation-conference/

Abstract

Key performance indicator-driven connection management at airports with public transportation services Integrated traffic management across a range of shareholders within a widespread network requires a definition of KPIs to assess intermodal performance. Their purpose is to monitor and analyze the technical performance of individual modules of a transportation network, e.g. an airport. Actions recommended to optimize operations and to maintain operation during disruptions are ideally based on an understanding of the system-wide impact of the action and for the entire intermodal chain of the journey from door to door. With all the numerous possible parameters and indicators which can be monitored within a complex transportation network, not every indicator is necessarily a key indicator. We show which indicators can depict a situation consisting of a system status and a system forecast, which allow interstakeholder optimization and which serve as an enabler for a Mobility as a Service (MaaS) concept. Examples of intermodal-oriented KPIs include the Amount of useable travel time, the Boarding Score and the Connectivity Matrix. Useable travel times are defined as the longest, continuous travel and waiting times which can be used for productivity or relaxation. The Boarding Score accounts for reaching a connection on time, e.g. catching the desired flight after travelling to the airport by train. The Connectivity Matrix dynamically expands the Minimum Connecting Time MCT (which is known from airports and is important for booking systems), allowing forecast values to be offered based on the demanded connecting journeys instead of on average spreadsheet values. With the deployment of the new key performance indicator set a tool is given to visualize situational awareness at an airport. This includes nowcasting as well as forecasting awareness which is required to assess different options of intervention. The method of calculation of the KPI set is enriched by a concept of visualization using virtual reality options to maintain usability within distributed management teams. For validation purpose, the Optimode.net simulation environment is used.

Item URL in elib:https://elib.dlr.de/116819/
Document Type:Conference or Workshop Item (Speech)
Title:Collaborative airport passenger management with a virtual control room
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rudolph, FlorianFlorian.Rudolph (at) dlr.dehttps://orcid.org/0000-0001-9997-6094
Grunewald, ErikErik.Grunewald (at) dlr.dehttps://orcid.org/0000-0002-5657-253X
Schiele, MartinMartin.Schiele (at) dlr.deUNSPECIFIED
Ayazkhani, Amiramir.ayazkhani (at) dlr.deUNSPECIFIED
Date:November 2017
Journal or Publication Title:Modelling and Simulation in Flight Simulation Conference
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:COLLABORATIVE AIRPORT PASSENGER MANAGEMENT VIRTUAL REALITY KEY PERFORMACE INDICATORS TRAJECTORY
Event Title:Modelling and Simulation for Air Traffic Management
Event Location:London. England
Event Type:international Conference
Event Dates:14.11.2017 – 15.11.2017
Organizer:Royal Aeronautical Society
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
Institutes and Institutions:Institute of Air Transport and Airport Research > Airport Research
Deposited By: Rudolph, Florian
Deposited On:08 Dec 2017 09:15
Last Modified:31 Jul 2019 20:14

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