Time-Series-Based Queries on Stable Transportation Networks Equipped with Sensors
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In this paper, we propose a formalism to query transportation networks that are equipped with sensors that produce time-series data. The core of the proposed query mechanism is a logic-based language that is capable to return time, value, and time-series outputs, as well as Boolean queries. We can also use the language for node selection and path selection. Furthermore, we propose an implementation of this language in a graph database system and evaluate its working on a fragment of the Flemish river system that is equipped with sensors that measure the water height at regular moments in time.
2017 ◽
Vol 1
(2)
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pp. 177-191
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2016 ◽
Vol 136
(3)
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pp. 363-372
2015 ◽
Vol 135
(6)
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pp. 651-659
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2019 ◽
Vol 3
(3)
◽
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