Scheduler-oriented algorithms to improve human-machine cooperation in transportation scheduling support systems

  • Authors:

  • Bernat Gacias;Julien Cegarra;Pierre Lopez

  • Affiliations:

  • Université Paris Est, CERMICS, 6-8 avenue Blaise Pascal, Cité Descartes, 77455 Marne-la-Vallée, Cedex 2, France;CLLE, Université de Toulouse, Centre Universitaire, Place de Verdun, F-81012 Albi, France;CNRS, LAAS, 7 avenue du Colonel Roche, F-31077 Toulouse, France and Université de Toulouse, UPS, INSA, INP, ISAE, UT1, UTM, LAAS, F-31077 Toulouse, France

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2012

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Abstract

A decision support system designed to enhance human-machine interaction in transportation scheduling is proposed. We aim to integrate human factors and ergonomics from the beginning of the design phase and to propose a system fitted with enough flexibility to be able to deal with the characteristics of a dynamic context such as transportation scheduling. In this interdisciplinary approach, a link is done between problem solving methods (operations research technics and data classification algorithms) and human-machine interaction (solving control modes). A set of scheduler-oriented algorithms favoring human-machine cooperation for problem solving is proposed. Some of these algorithms have been efficiently tested on instances of the literature. Finally, an original framework aiming to assist scheduler in constraint relaxation when the problem becomes infeasible is proposed and evaluated.