Towards a Market Mechanism for Airport Traffic Control

Jonker, Geert; Meyer, John-Jules; Dignum, Frank

doi:10.1007/11595014_50

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…These include, amongst others, industrial procurement [47], manufacturing and scheduling [74,92,97], public transport [16], the fair and efficient exploitation of jointly funded Earth Observation Satellites [61,62], airport traffic management [54], crisis management [64], network routing [40], and the timely allocation of resources in grid architectures [51].…”

Section: Introductionmentioning

confidence: 99%

Multiagent resource allocation

Chevaleyre

Dunne

Endriss

et al. 2005

The Knowledge Engineering Review

192

294

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The allocation of resources within a system of autonomous agents, that not only have preferences over alternative allocations of resources but also actively participate in computing an allocation, is an exciting area of research at the interface of Computer Science and Economics. This paper is a survey of some of the most salient issues in Multiagent Resource Allocation. In particular, we review various languages to represent the preferences of agents over alternative allocations of resources as well as different measures of social welfare to assess the overall quality of an allocation. We also discuss pertinent issues regarding allocation procedures and present important complexity results. Our presentation of theoretical issues is complemented by a discussion of software packages for the simulation of agent-based market places. We also introduce four major application areas for Multiagent Resource Allocation, namely industrial procurement, sharing of satellite resources, manufacturing control, and grid computing.

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Section: Introductionmentioning

confidence: 99%

Multiagent resource allocation

Chevaleyre

Dunne

Endriss

et al. 2005

The Knowledge Engineering Review

192

294

View full text Add to dashboard Cite

show abstract

“…[7] uses agents for arrival, departure and gate planning in air traffic. If a plan has to be changed, agents representing the airlines negotiate planrepair schemes.…”

Section: Related Workmentioning

confidence: 99%

Auction-Based Traffic Management: Towards Effective Concurrent Utilization of Road Intersections

Schepperle

Böhm²

2008

2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Serv

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Valuation-aware traffic-control mechanisms for road intersections take the valuations of reduced waiting time of the individual drivers into account. They use agents to avoid any disturbance of the driver, and they feature mechanisms specifically designed for negotiating valuations. While such mechanisms do indeed increase overall driver satisfaction, they only allow one vehicle at a time to use the intersection so far. But the concurrent utilization of an intersection is an important feature needed in reality. This paper proposes new auction-based intersectioncontrol mechanisms allowing for concurrency. Their design has been challenging due to complex traffic-specific requirements like the high number of agents involved or varying space and time consumption of vehicles crossing the intersection. Experiments show that they yield a significantly higher degree of overall driver satisfaction than state-of-the-art mechanisms.

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“…Regarding the use of agents in other domains a very brief list follows: Jonker et al [57] propose a MAS for Air Traffic Control (ATC) Tower operations. In the aviation domain, but in a different context, Tumer and Agogino [58] As the authors said in the beginning of this section, the examples above are an incomplete and very brief list of the use of the MAS paradigm, just to give an idea that this technology is able to deal with very complex and critical problems.…”

Section: The Use Of Agents On Other Application Domainsmentioning

confidence: 99%

A New Concept for Disruption Management in Airline Operations Control

Castro

Oliveira

2011

Proceedings of the Institution of Mechanical Engineers, Part G:

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The Airline Operations Control Centre (AOCC) of an airline company is the organization responsible for monitoring and solving operational problems. It includes teams of human experts specialized in solving problems related with aircrafts, crewmembers, and passengers, in a process called disruption management or operations recovery. In this article, the authors propose a new concept for disruption management in this domain. The organization of the AOCC is represented by a multi-agent system (MAS), where roles that correspond to the most frequent tasks that could benefit from a cooperative approach, are performed by intelligent agents. The human experts, represented by agents that are able to interact with them, are part of this AOCC-MAS supervising the system and taking the final decision from the solutions proposed by the AOCC-MAS. The authors show the architecture of this AOCC-MAS, including the main costs involved and details about how the system takes decisions. They tested the concept, using several real airline crew-related problems and using four methods: human experts (traditional way), the AOCC-MAS with and without using quality-costs, and the integrated approach presented in this article. The results are presented and discussed.

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Towards a Market Mechanism for Airport Traffic Control

Cited by 9 publications

References 9 publications

Multiagent resource allocation

Multiagent resource allocation

Auction-Based Traffic Management: Towards Effective Concurrent Utilization of Road Intersections

A New Concept for Disruption Management in Airline Operations Control

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