32,999 research outputs found
Resilient Critical Infrastructure Management using Service Oriented Architecture
AbstractâThe SERSCIS project aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly demonstrated by âAirport Collaborative Decision Makingâ (ACDM). Failure or underperformance of any of the interlinked ICT systems may compromise the ability of airports to plan their use of resources to sustain high levels of air traffic, or to provide accurate aircraft movement forecasts to the wider European air traffic management systems. The proposed solution is to introduce further SERSCIS ICT components to manage dependability and interdependency. These use semantic models of the critical infrastructure, including its ICT services, to identify faults and potential risks and to increase human awareness of them. Semantics allows information and services to be described in such a way that makes them understandable to computers. Thus when a failure (or a threat of failure) is detected, SERSCIS components can take action to manage the consequences, including changing the interdependency relationships between services. In some cases, the components will be able to take action autonomously â e.g. to manage âlocalâ issues such as the allocation of CPU time to maintain service performance, or the selection of services where there are redundant sources available. In other cases the components will alert human operators so they can take action instead. The goal of this paper is to describe a Service Oriented Architecture (SOA) that can be used to address the management of ICT components and interdependencies in critical infrastructure systems. Index Termsâresilience; QoS; SOA; critical infrastructure, SLA
Agent-based simulation framework for airport collaborative decision making
Airport Collaborative Decision Making is based on information sharing. A better use of resources can be attained when the different stakeholders at airport operations share their more accurate and updated information. One of the main difficulties when dealing with this information sharing concept is the number of stakeholders involved and their different interest and behaviour: aircraft operators, ground handling companies, airport authority, air traffic control and the Central Flow Management Unit. It is paramount to quantify the benefit of an airport collaborative decision making strategy in order to involve all these different organisations. Simulations are required to analyse the overall system and its emerging behaviour. This paper presents the development and initial testing of an agent-based framework, which allows this behavioural analysis to be done. The simulator explicitly represents the different stakeholders involved in the A-CDM and the interactions between them from milestone 1 to 7. This framework allows independent gradual development of local behaviours and optimisation, and a gradual increase on complexity and fidelity on the simulations
Agent-based simulation framework for airport collaborative decision making
Airport C
ollaborative Decision Making
(A
-
CDM)
is
based on information sharing.
A better use of resources can be
attained w
hen the different
stakeholders
at
airport operations
share their more accurate and updated information
.
One of the
main difficulties when dealing with this
information sharing
concept is the number of stakeholders involved and their
different
interest and
behaviour
:
aircraft operators
,
gro
und
handling companies,
airport authority,
air traffic control and the
Central Flow Management Unit
.
It is paramount to quantify the
benefit of an airport collaborative decision making strategy in
order to involve all these different organisations.
Simulat
ions are
required to analyse the
overall system and its
emerging
behaviour
.
This paper presents
the development and initial
t
est
ing of
a
n agent
-
based framework
,
which
allows
this
behavioural
analysis
to be done
.
The simulator explicitly
represents the diff
erent stakeholders
involved in the A
-
CDM and
the
interactions between them
during the 16 milestones defined
by
EUROCONTROL
o
n its A
-
CDM implementation manual
.
T
his framework allows independent
gradual
development of local
behaviours
and optimisation,
and
a gradual
increase
on
complexity and fidelity on the simulationsPeer ReviewedPostprint (published version
Contribution à l'organisation des opérations d'escale dans une plateforme aéroportuaire
La croissance du trafic aérien a rendu critique l opération de la gestion des plateformes aéroportuaires. Celle-ci fait appel à de nombreux acteurs (autorités aéroportuaires, compagnies aériennes, contrÎle du trafic aérien, prestataires de services, ). Le concept d Airport Collaborative Decision Making (A-CDM) développé depuis une dizaine d années est basé sur un partage d informations opérationnelles en temps réel entre les différents acteurs de la plate-forme, permettant de prendre des décisions en commun pour rechercher une utilisation optimale, en toutes conditions, des capacités de l aéroport. L objectif principal de cette thÚse est de contribuer à l organisation de la gestion des opérations d escale dans une plateforme aéroportuaire. Il s agit de proposer une structure d organisation de cette opération qui soit compatible avec l approche A-CDM. La structure proposée introduit un coordinateur des opérations d escale (GHC) qui joue le rÎle d interface de communication entre les partenaires de l A-CDM et les différents gestionnaires des opérations d escale (GHM). Cette structure hiérarchique permet d une part de partager des informations avec les partenaires de l A-CDM et d autre part d interagir avec les gestionnaires des opérations d escale (GHM). Les processus de prise de décision basés sur des heuristiques ont été développés à chaque niveau de l organisation proposée et sont évalués aussi bien dans le cas de conditions nominales que dans le cas de la présence de perturbations majeures.The increase of the world air traffic growth of the last decades has generated a permanent challenge for civil aviation authorities, airlines and airports to supply sufficient capacity to provide a safe transportation service with acceptable quality standards. New traffic management practices, such as A-CDM, based on multi-agent and collaborative decision making concepts have been introduced at airports. However, within the turnaround process of aircraft at airports, ground handling management of aircraft has not been developed specifically in the A-CDM approach, even if it has an important role in the fluidity of aircraft operations at airports. The main objective of this thesis dissertation is to contribute to the organisation of the ground handling management at airports. It consists to provide a structure organize the ground handling management compatible with the A -CDM concept. The proposed structure introduces a ground handling coordinator (GHC) which is considered as an interface for communication between the partners of the A -CDM and the different ground handling managers (GHM). This hierarchical structure allows sharing information with partners in the A -CDM on the one side and on the other side, interacting with ground handling managers (GHM). Decision making processes based on heuristics have been developed at each level of the proposed organization and have been also evaluated in the case of nominal conditions and in the case of the presence of major disruptions.TOULOUSE-INP (315552154) / SudocSudocFranceF
Influences on aircraft target off-block time prediction accuracy
With Airport Collaborative Decision Making (A-CDM) as a generic concept of
working together of all airport partners, the main aim of this research project was to
increase the understanding of the Influences on the Target Off-Block Time (TOBT)
Prediction Accuracy during A-CDM. Predicting the TOBT accurately is important,
because all airport partners use it as a reference time for the departure of the flights after
the aircraft turn-round. Understanding such influencing factors is therefore not only
required for finding measures to counteract inaccurate TOBT predictions, but also for
establishing a more efficient A-CDM turn-round process.
The research method chosen comprises a number of steps. Firstly, within the
framework of a Cognitive Work Analysis, the sub-processes as well as the information
requirements during turn-round were analysed. Secondly, a survey approach aimed at
finding and describing situations during turn-round that are critical for TOBT adherence
was pursued. The problems identified here were then investigated in field observations
at different airlinesâ operation control rooms. Based on the findings from these previous
steps, small-scale human-in-the-loop experiments were designed aimed at testing
hypotheses about data/information availability that influence TOBT predictability. A
turn-round monitoring tool was developed for the experiments.
As a result of this project, the critical chain of turn-round events and the decisions
necessary during all stages of the turn-round were identified. It was concluded that
information required but not shared among participants can result in TOBT inaccuracy
swings. In addition, TOBT predictability was shown to depend on the location of the
TOBT turn-round controller who assigns the TOBT: More reliable TOBT predictions
were observed when the turn-round controller was physically present at the aircraft.
During the experiments, TOBT prediction could be improved by eight minutes, if
available information was cooperatively shared ten minutes prior turn-round start
between air crews and turn-round controller; TOBT prediction could be improved by 15
minutes, if additional information was provided by ramp agents five minutes after turnround
start
Cargo Logistics Airlift Systems Study (CLASS). Volume 2: Case study approach and results
Models of transportation mode decision making were developed. The user's view of the present and future air cargo systems is discussed. Issues summarized include: (1) organization of the distribution function; (2) mode choice decision making; (3) air freight system; and (4) the future of air freight
Application of ICT as a Key Element for Airport Safety and Security Operations
Airport risk management is a demanding task as several different areas have to be monitored including outer edges, car parks, terminals, and other passenger facilities. Information and communication technologies (ICT) are key elements for airport operation safety and security. One of the advantages of ICT based systems is they can react better and faster in real time and perform certain tasks at airports. This paper aims to present a safety overview of ICT and multi-agent systems (MAS) usage in the implementation of various airport operations. This paper aims to present a safety overview of ICT and MAS systems usage in the implementation of various airport operations. This paper summarizes a multi-agent concept that highlights their applications at airports such as passenger transfer, baggage management, aircraft handling, and field service through a detailed and extensive literature review on related topics. Much of the information on processes within the airport, processes in air traffic, and the processes of operators, i.e. airlines, is the result of monitoring work on a software development project for individual airports that serves to manage all processes in airports. The analysis led to the conclusion that safety and security in airports can be additionally improved by greater use of ICT as well as greater use of MAS, which ultimately contributes to the optimization of the airport
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