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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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XES Logistics And Transportation Dataset - Large (~19 Days)

Authors: Mangler, Juergen; Kunkler, Michel;

XES Logistics And Transportation Dataset - Large (~19 Days)

Abstract

Vienna Tram Line 71 (days 2022-12-06 to 2022-12-07): Delays, Weather, Trafic, Construction Sites This dataset has been created by researchers from the Technical University of Munich, Chair for Information Systems and Business Process Management (i17), Boltzmannstraße 3, 85748 Garching b. München. The dataset has been created through https://cpee.org. The data set contains raw data and refined and aggregated data in the XES SensorStream format https://arxiv.org/abs/2206.11392. The dataset contains data from the following sources: Tram line delay data & construction sites in the vicinity of the tram line stops: https://digitales.wien.gv.at/open-data/. All data collected from this service can, to the best of our knowledge, be freely distributed and used for all purposes (e.g., analysis). Traffic data in the vicinity of the tram line stops: https://developer.tomtom.com/store/maps-api/. We use data gathered through the TomTom "Freemium" plan, which is covered by https://developer.tomtom.com/terms-and-conditions/. To the best of our knowledge the gathered traffic flow data can be freely distributed and used for analysis purposes, as TomTom invites researchers (and business) to explore new applications. Weather data: https://openweathermap.org/. We collect data based on the "Free" plan, which is covered by a CC BY-SA 4.0 license (https://openweathermap.org/full-price#licenses).

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Keywords

IoT, Process Mining, Data Mining, Transportation, Logistics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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