Detection of Damage and Failure Events of Road Infrastructure Using Social Media
| Autor: | Zhe Jiang, Mirbek Dzhumaliev, Aibek Musaev, Steven Jones, Pezhman Sheinidashtegol |
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| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Cover (telecommunications) business.industry Computer science 05 social sciences Sentiment analysis Big data computer.software_genre law.invention Transport engineering PageRank law 0502 economics and business Key (cryptography) Social media Evaluation period Web service business computer 050212 sport leisure & tourism |
| Zdroj: | Web Services – ICWS 2018 ISBN: 9783319942889 ICWS |
| DOI: | 10.1007/978-3-319-94289-6_9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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