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

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dc.contributor.author Mahr, Tamas
dc.contributor.author Srour, F. Jordan
dc.contributor.author De Weerdt, Mathijs
dc.date.accessioned 2018-01-16T13:40:16Z
dc.date.available 2018-01-16T13:40:16Z
dc.date.copyright 2011 en_US
dc.date.issued 2017-08-10
dc.identifier.isbn 9781424495702 en_US
dc.identifier.uri http://hdl.handle.net/10725/6902 en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Transportation -- Congresses en_US
dc.subject Mobile communication systems -- Congresses en_US
dc.subject Control theory -- Congresses en_US
dc.subject Artificial intelligence -- Congresses en_US
dc.subject Detectors -- Congresses en_US
dc.subject Computer networks -- Congresses en_US
dc.title Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOB en_US
dc.author.idnumber 201204645 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.publication.place Piscataway, N.J. en_US
dc.keywords Planning en_US
dc.keywords Robustness en_US
dc.keywords Uncertainty en_US
dc.keywords Transportation en_US
dc.keywords Computational modeling en_US
dc.keywords Optimized production technology en_US
dc.description.bibliographiccitations Includes bibliographical references. en_US
dc.identifier.doi https://doi.org/10.1109/ICNSC.2011.5874912
dc.identifier.ctation 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. en_US
dc.author.email jordan.srour@lau.edu.lb en_US
dc.conference.date 11-13 April, 2011 en_US
dc.conference.pages 139-144 en_US
dc.conference.place Delft, The Netherlands en_US
dc.conference.subtitle 8th IEEE International Conference on Networking, Sensing, & Control en_US
dc.conference.title ICNSC 2011 en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/5874912 en_US
dc.orcid.id https://orcid.org/0000-0001-7623-723X en_US
dc.publication.date 2011 en_US
dc.author.affiliation Lebanese American University en_US

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