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http://hdl.handle.net/1942/17626
Title: | Canonic Route Splitting | Authors: | KNAPEN, Luk BELLEMANS, Tom JANSSENS, Davy WETS, Geert |
Issue Date: | 2014 | Publisher: | Elsevier Science BV | Source: | Shakshuki, Elhadi; Yasar, Ansar (Ed.). The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014), Elsevier Science BV, p. 309-316 | Abstract: | There are multiple ways to split a path in a directed graph into largest sub-paths of minimal cost. All possible splits constitute path partitions of the same size. By calculating two specific path splittings, it is possible to identify subsets of the vertices (splitVer- texSets) that can be used to generate every possible path splitting by taking one vertex from each such subset and connecting the resulting vertices by a least cost path. This is interesting in transportation science when investigating the hypothesis that people build up their route from least cost components. The splitVertexSets can be easily and efficiently derived from big data (GPS recordings). This allows for statistical analysis of structural route characteristics which in turn can support constrained enumera- tion methods for route choice set building. Furthermore, the boundary vertices separating consecutive route parts, are way points having a particular meaning to their user which constitutes relevant information to the transportation analyst. | Notes: | Knapen, L (reprint author), Hasselt Univ, Wetenschapspk 5, B-3950 Diepenbeek, Belgium. luk.knapen@uhasselt.be | Keywords: | Graph theory;Route choice Transportation modeling;Big data analysis | Document URI: | http://hdl.handle.net/1942/17626 | ISSN: | 1877-0509 | DOI: | 10.1016/j.procs.2014.05.429 | ISI #: | 000361562600037 | Rights: | 2014 Published by Elsevier B.V. Open access under CC BY-NC-ND license | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
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knapencan.pdf | Published version | 5.54 MB | Adobe PDF | View/Open |
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