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Author
Badurowicz Marcin (Lublin University of Technology), Montusiewicz Jerzy (Lublin University of Technology), Cieplak Tomasz (Lublin University of Technology)
Title
Community-Driven Road Quality Assessment for Users and Territorial Government Organizations
Source
Roczniki Kolegium Analiz Ekonomicznych / Szkoła Główna Handlowa, 2017, nr 46, s. 13-22, rys., wykr., bibliogr. 8 poz.
Issue title
Technologie informatyczne w administracji publicznej i służbie zdrowia - TIAPISZ'16
Keyword
Chmura obliczeniowa, Drogi, Jakość, Modernizacja
Cloud computing, Road, Quality, Modernization
Note
summ.
Abstract
The aim of this article is to provide a method allowing to control the costs in the real time bidding system related with the bid request traffic. Hourly limits of expenses are predicted based on the historical data. This approach allows to diversify the costs through the whole day, instead spending them immediately at the beginning of the day. To improve the accuracy, a proposed method includes a panel econometric model, where hours are panels. Results are evaluated on the basis of off-line comparison tests between the panel (fixed effects estimator) and non-panel model (ordinary least squares estimator). It turns out, that in most cases the panel method gives more accurate predictions(original abstract)
Accessibility
The Library of Warsaw School of Economics
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Bibliography
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  1. Afrin M., Redowan M., Razzaque A., Time Detection of Speed Breakers and Warning System for On-Road Drivers, in: 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
  2. Aksamit P., Szmechta M., Distributed, Mobile, Social System for Road Surface Defects Detection, in: Computational Intelligence and Intelligent Informatics (ISCIII), 2011 5th International Symposium.
  3. Badurowicz M., Montusiewicz J., Identifying Road Artefacts with Mobile Devices, in: Information and Software Technologies, G. Dregvaite, R. Damasevicius (Eds.), "ICIST 2015", Springer-Verlag 2015, CCIS 538.
  4. Badurowicz M., Montusiewicz J., Cieplak T., The Cloud Computing Stream Analysis System for Road Artefacts Detection, in: "Computer Networks 23 rd International Conference, CN 2016", P. Gaj, A. Kwiecień (Eds.), Springer-Verlag 2016, CCIS 608.
  5. Eriksson J., Girod L., Hull B., Newton R., Madden S., Balakrishnan H., The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring, in: MobiSys 2008: Proceeding of the 6th International Conference on Mobile Systems, Applications and Services, ACM, New York 2008.
  6. Marz N., Warren J., Big Data: Principles and Best Practices of Scalable Realtime Data Systems, Manning Publications, 2015.
  7. Twardowski B., Ryzko D., Multi-Agent Architecture for Real-Time Big Data Processing, in: WI-IAT 2014, no. 3.
  8. Scyscraper City.com, http://www.skyscrapercity.com/showthread.php?t=1310317 (31.10.2016).
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ISSN
1232-4671
Language
pol
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