Abstract
This paper discusses a decision support system based on fuzzy set techniques and tree search for movement planning in freight rail networks. The aim is to provide a decision making toot to help train dispatchers to plan and control rail traffic in real time. The system uses fuzzy rule-based decision procedures to drive train circulation as closed as possible to reference trajectories. A tree search algorithm is used to improve solution quality. A major characteristic of the system concerns its ability to provide feasible movement plans in real time. Incorporation of practical knowledge and real time response are essential requirements in real world freight railroads traffic management and control.
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Tazoniero, A., Gonçalves, R., Gomide, F. (2007). Decision Making Strategies for Real-Time Train Dispatch and Control. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_20
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DOI: https://doi.org/10.1007/978-3-540-72432-2_20
Publisher Name: Springer, Berlin, Heidelberg
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