Scipediacontent: Scipediacontent moved page Draft Content 406166192 to Khiari et al 2016a

2021-01-25T10:20:50Z

Scipediacontent moved page Draft Content 406166192 to Khiari et al 2016a

Scipediacontent: Created page with " == Abstract == The efficiency of Public Transportation (PT) Networks is a major goal of any urban area authority. Advances on both location and communication devices drastic..."

2021-01-25T10:20:47Z

Created page with " == Abstract == The efficiency of Public Transportation (PT) Networks is a major goal of any urban area authority. Advances on both location and communication devices drastic..."

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== Abstract ==

The efficiency of Public Transportation (PT) Networks is a major goal of any urban area authority. Advances on both location and communication devices drastically increased the availability of the data generated by their operations. Adequate Machine Learning methods can thus be applied to identify patterns useful to improve the Schedule Plan. In this paper, the authors propose a fully automated learning framework to determine the best Schedule Coverage to be assigned to a given PT network based on Automatic Vehicle location (AVL) and Automatic Passenger Counting (APC) data. We formulate this problem as a clustering one, where the best number of clusters is selected through an ad-hoc metric. This metric takes into account multiple domain constraints, computed using Sequence Mining and Probabilistic Reasoning. A case study from a large operator in Sweden was selected to validate our methodology. Experimental results suggest necessary changes on the Schedule coverage. Moreover, an impact study was conducted through a large-scale simulation over the affected time period. Its results uncovered potential improvements of the schedule reliability on a large scale.

== Original document ==

The different versions of the original document can be found in:

* [https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1/datastream/OBJ/download https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1/datastream/OBJ/download]

* [http://link.springer.com/content/pdf/10.1007/978-3-319-31753-3_44 http://link.springer.com/content/pdf/10.1007/978-3-319-31753-3_44],
: [http://dx.doi.org/10.1007/978-3-319-31753-3_44 http://dx.doi.org/10.1007/978-3-319-31753-3_44] under the license http://www.springer.com/tdm

* [http://resolver.tudelft.nl/uuid:b7ec5d96-f18f-4d3d-a845-a97f018423a1 http://resolver.tudelft.nl/uuid:b7ec5d96-f18f-4d3d-a845-a97f018423a1],
: [http://dx.doi.org/10.1007/978-3-319-31753-3_44 http://dx.doi.org/10.1007/978-3-319-31753-3_44]

* [https://link.springer.com/chapter/10.1007/978-3-319-31753-3_44 https://link.springer.com/chapter/10.1007/978-3-319-31753-3_44],
: [https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1 https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1],
: [https://core.ac.uk/display/132305747 https://core.ac.uk/display/132305747],
: [https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1 https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1],
: [https://dblp.uni-trier.de/db/conf/pakdd/pakdd2016-1.html#KhiariMCC16 https://dblp.uni-trier.de/db/conf/pakdd/pakdd2016-1.html#KhiariMCC16],
: [https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1/datastream/OBJ/download https://repository.tudelft.nl/islandora/object/uuid%3Ab7ec5d96-f18f-4d3d-a845-a97f018423a1/datastream/OBJ/download],
: [https://doi.org/10.1007/978-3-319-31753-3_44 https://doi.org/10.1007/978-3-319-31753-3_44],
: [https://rd.springer.com/chapter/10.1007/978-3-319-31753-3_44 https://rd.springer.com/chapter/10.1007/978-3-319-31753-3_44],
: [https://academic.microsoft.com/#/detail/2432720300 https://academic.microsoft.com/#/detail/2432720300]

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Khiari et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 406166192 to Khiari et al 2016a

Scipediacontent: Created page with " == Abstract == The efficiency of Public Transportation (PT) Networks is a major goal of any urban area authority. Advances on both location and communication devices drastic..."