Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns

In most real-world settings, a transportation plan requires modifications during execution. A thorough evaluation of transportation planning methods thus requires testing and comparison in a dynamic environment. We give conditions on a simulation environment that follow from this requirement, and pr...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mahr, Tamas (author)
مؤلفون آخرون: Srour, F. Jordan (author), De Weerdt, Mathijs (author)
التنسيق: conferenceObject
منشور في: 2011
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/6902
https://doi.org/10.1109/ICNSC.2011.5874912
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/5874912
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author Mahr, Tamas
author2 Srour, F. Jordan
De Weerdt, Mathijs
author2_role author
author
author_facet Mahr, Tamas
Srour, F. Jordan
De Weerdt, Mathijs
author_role author
dc.creator.none.fl_str_mv Mahr, Tamas
Srour, F. Jordan
De Weerdt, Mathijs
dc.date.none.fl_str_mv 2011
2017-08-10
2018-01-16T13:40:16Z
2018-01-16T13:40:16Z
dc.identifier.none.fl_str_mv 9781424495702
http://hdl.handle.net/10725/6902
https://doi.org/10.1109/ICNSC.2011.5874912
Máhr, T., Srour, F. J., & de Weerdt, M. (2011, April). Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns. In Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on (pp. 139-144). IEEE.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/5874912
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv IEEE
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Transportation -- Congresses
Mobile communication systems -- Congresses
Control theory -- Congresses
Artificial intelligence -- Congresses
Detectors -- Congresses
Computer networks -- Congresses
dc.title.none.fl_str_mv Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description In most real-world settings, a transportation plan requires modifications during execution. A thorough evaluation of transportation planning methods thus requires testing and comparison in a dynamic environment. We give conditions on a simulation environment that follow from this requirement, and propose a multi-agent simulator meeting these conditions. In addition, we propose a new measure that captures robustness in such dynamic settings. The multi-agent simulator and the robustness measure are then used to compare three different transportation methods (two multi-agent planners and one online optimization approach) in settings with release time uncertainty and truck breakdown incidents.
eu_rights_str_mv openAccess
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id LAURepo_c6a1177d616ed1076db4ce67f4c808ff
identifier_str_mv 9781424495702
Máhr, T., Srour, F. J., & de Weerdt, M. (2011, April). Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns. In Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on (pp. 139-144). IEEE.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/6902
publishDate 2011
publisher.none.fl_str_mv IEEE
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spelling Using simulation to evaluate how multi-agent transportation planners cope with truck breakdownsMahr, TamasSrour, F. JordanDe Weerdt, MathijsTransportation -- CongressesMobile communication systems -- CongressesControl theory -- CongressesArtificial intelligence -- CongressesDetectors -- CongressesComputer networks -- CongressesIn most real-world settings, a transportation plan requires modifications during execution. A thorough evaluation of transportation planning methods thus requires testing and comparison in a dynamic environment. We give conditions on a simulation environment that follow from this requirement, and propose a multi-agent simulator meeting these conditions. In addition, we propose a new measure that captures robustness in such dynamic settings. The multi-agent simulator and the robustness measure are then used to compare three different transportation methods (two multi-agent planners and one online optimization approach) in settings with release time uncertainty and truck breakdown incidents.N/AIncludes bibliographical references.IEEE2018-01-16T13:40:16Z2018-01-16T13:40:16Z20112017-08-10Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9781424495702http://hdl.handle.net/10725/6902https://doi.org/10.1109/ICNSC.2011.5874912Máhr, T., Srour, F. J., & de Weerdt, M. (2011, April). Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns. In Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on (pp. 139-144). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/5874912eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/69022023-05-18T11:46:41Z
spellingShingle Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
Mahr, Tamas
Transportation -- Congresses
Mobile communication systems -- Congresses
Control theory -- Congresses
Artificial intelligence -- Congresses
Detectors -- Congresses
Computer networks -- Congresses
status_str publishedVersion
title Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
title_full Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
title_fullStr Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
title_full_unstemmed Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
title_short Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
title_sort Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns
topic Transportation -- Congresses
Mobile communication systems -- Congresses
Control theory -- Congresses
Artificial intelligence -- Congresses
Detectors -- Congresses
Computer networks -- Congresses
url http://hdl.handle.net/10725/6902
https://doi.org/10.1109/ICNSC.2011.5874912
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/5874912