An Agent-based Electronic Market to Help Airlines to Recover from Delays

Luís Reis, Ana Paula Rocha, Antonio J. M. Castro

2018

Abstract

The Airline Operations Control Center (AOCC) has the responsibility to ensure that flights meet their planned schedule or, if any problem arises, to find a viable solution that minimizes both the impact in the operational plan and its cost. The high cost of resources involved in this process (aircraft and crew members) leads to a lack of additional resources from the airline companies, implying a restricted solution space. Here, we propose an electronic market modeled as a multi-agent system where airline companies can negotiate and lease each other the required resources when solving a disruption problem, thus expanding their solution space. The proposed negotiation occurs in several rounds, where qualitative comments made by the buyer agent on proposals sent by the sellers enables these to learn how to calculate new proposals, using a case-based reasoning methodology.

Paper Citation

in Harvard Style

Reis L., Rocha A. and Castro A. (2018). An Agent-based Electronic Market to Help Airlines to Recover from Delays.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 176-183. DOI: 10.5220/0006582401760183

in Bibtex Style

@conference{icaart18,
author={Luís Reis and Ana Paula Rocha and Antonio J. M. Castro},
title={An Agent-based Electronic Market to Help Airlines to Recover from Delays},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={176-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006582401760183},
isbn={978-989-758-275-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An Agent-based Electronic Market to Help Airlines to Recover from Delays
SN - 978-989-758-275-2
AU - Reis L.
AU - Rocha A.
AU - Castro A.
PY - 2018
SP - 176
EP - 183
DO - 10.5220/0006582401760183