Please use this identifier to cite or link to this item: doi:10.22028/D291-25068
Title: Transportation scheduling and simulation in a railroad scenario : a multi-agent approach
Author(s): Lind, Jürgen
Fischer, Klaus
Language: English
Year of Publication: 1998
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1998
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper, we present a multi-agent system for planning and plan execution monitoring in a real-time railroad transportation scenario. The planning process is implemented as incremental anytime algorithm that is capable of integrating new task specifications in the ongoing planning and plan execution process. An initial solution is obtained by executing the contract-net protocol for every new task, the resulting solution is then optimized by a simulated trading approach. The execution of the resulting plans is monitored by a plan execution monitor that dynamically controls ongoing driving or coupling activities of transportation units and that handles deviations from the original plan in the case of external events, e.g. location route failures or train delays.
Link to this record: urn:nbn:de:bsz:291-scidok-39133
Series name: Technical memo / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-0071]
Series volume: 98-05
Date of registration: 8-Jul-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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