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

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3 Author(s)
Mahr, T. ; Delft Univ. of Technol., Delft, Netherlands ; Srour, F.J. ; de Weerdt, M.

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.

Published in:

Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on

Date of Conference:

11-13 April 2011

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