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- W1536163052 abstract "AbstractPublic transport schedules contain temporal data with many regular patterns that can be represented compactly. Exceptions come as modifications of the initial schedule and break the regular patterns increasing the size of the representation. A typical strategy to preserve the compactness of schedules is to keep exceptions separately. This, however, complicates the automated processing of schedules and imposes a more complex model on applications. In this paper we evaluate exceptions by incorporating them into the patterns that define schedules. We employ sets of time slices, termed multislices, as a representation formalism for schedules and exceptions. The difference of multislices corresponds to the evaluation of exceptions and produces an updated schedule in terms of a multislice. We propose a relational model for multislices, provide an algorithm for efficient evaluating the difference of multislices, and show analytically and experimentally that the evaluation of exceptions is a feasible strategy for realistic schedules.KeywordsTime InstantTime SliceGranularity LevelOptimization RuleTime GranularityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1536163052 created "2016-06-24" @default.
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- W1536163052 date "2009-01-01" @default.
- W1536163052 modified "2023-09-25" @default.
- W1536163052 title "Evaluating Exceptions on Time Slices" @default.
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- W1536163052 doi "https://doi.org/10.1007/978-3-642-04840-1_20" @default.
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