Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34814
Title: Time-Series-Based Queries on Stable Transportation Networks Equipped with Sensors
Authors: BOLLEN, Erik 
Hendrix, Rik
KUIJPERS, Bart 
VAISMAN, Alejandro 
Issue Date: 2021
Publisher: MDPI
Source: ISPRS international journal of geo-information, 10 (8) (Art N° 531)
Abstract: Citation: Bollen, E.; Hendrix, R.; Kuijpers, B.; Vaisman, A. 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.
Keywords: time-series data;transportation networks;sensors;constraint databases;logic-based query languages
Document URI: http://hdl.handle.net/1942/34814
e-ISSN: 2220-9964
DOI: 10.3390/ijgi10080531
ISI #: WOS:000689295800001
Datasets of the publication: 10.17605/OSF.IO/95TCX
Rights: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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