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2018 | OriginalPaper | Buchkapitel

Detection of Damage and Failure Events of Road Infrastructure Using Social Media

verfasst von : Aibek Musaev, Zhe Jiang, Steven Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev

Erschienen in: Web Services – ICWS 2018

Verlag: Springer International Publishing

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Abstract

We study the problem of estimating the state of road infrastructure, which is the backbone of transportation system. Road infrastructure can suffer from various issues, including structural failures, such as potholes, and non-structural issues, such as broken traffic lights. However, it is infeasible to cover all roads with physical sensors for monitoring purposes. Instead, we propose to use social sensor big data to detect and estimate these issues based on the public’s activity. As a demonstration, we generate a map of detected road problems based on tweets. The map displays the currently detected hotspots, where for each hotspot we compute the overall sentiment provided by the public. In addition, we identify the peak of public activity during the evaluation period and investigate the key drivers of that peak. Finally, we analyze the most influential users using an extension of PageRank. The proposed approach adds a novel perspective on the state of road infrastructure and may be used to help guide decisions related to road infrastructure funding.

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Titel: Detection of Damage and Failure Events of Road Infrastructure Using Social Media
verfasst von: Aibek Musaev
Zhe Jiang
Steven Jones
Pezhman Sheinidashtegol
Mirbek Dzhumaliev
Verlag: Springer International Publishing
Buch: Web Services – ICWS 2018
Print ISBN: 978-3-319-94288-9

Electronic ISBN: 978-3-319-94289-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-94289-6_9

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