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A proposed multiagent model for bus crew scheduling

Published: 03 December 2006 Publication History

Abstract

Bus crew scheduling is a complex problem to solve because of the large number of resources that need to be managed, complexity of allocating crew shifts, rising cost of crew and unpredictability of traffic and crew availability. This causes a difficulty to maintain an optimal schedule. Existing systems are excellent in producing optimal or near optimal schedules. However, to maintain such optimality for day-to-day operations, crew scheduling systems need to extend their capabilities by enabling crew reassignment, a feature that is not currently available in currently existing automated scheduling systems. The aim of this research is to model the crew reassignment process using agents and simulate agents' behavior in order to establish ways of automating management of unpredictable events. The model should assist supervisor in managing everyday bus operations. The paper presents agents analysis and design using Gaia methodology.

References

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Desaulniers, G. 2002. Bus and driver scheduling in urban transit systems, {online}. Available via <http://www.ima.umn.edu/talks/workshops/11-11-15.2002/desaulniers/desaulniers.pdf>. {accessed June 13, 2004}.
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Shibghatullah, A. S., T. Eldabi, and G. Rzevski. 2006. The requirements for a dynamic bus crew scheduling system. In Proceedings of the 10th International Conference on Computer-Aided Scheduling of Public Transport, Leeds, UK.
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Wooldridge, M., N. R. Jennings, and D. Kinny. 2000. The Gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems. 3: 285--312.
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Zambonelli, F., N. R. Jennings, M. J. Wooldridge. 2003. Developing multiagent systems: the Gaia methodology. ACM Transactions on Software Engineering and Methodology. 12: 317--370.

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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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