期刊
PROGRAMMING AND COMPUTER SOFTWARE
卷 44, 期 3, 页码 181-189出版社
PLEIADES PUBLISHING INC
DOI: 10.1134/S0361768818030052
关键词
cloud computing; big data; smart cities; intelligent transportation systems
资金
- ANII
- PEDECIBA, Uruguay
- Government of the Russian Federation [02.A03.21.0011]
- CONACYT (Consejo Nacional de Ciencia y Tecnologia, Mexico) [178415]
In this paper, we present a Big Data analysis paradigm related to smart cities using cloud computing infrastructures. The proposed architecture follows the MapReduce parallel model implemented using the Hadoop framework. We analyse two case studies: a quality-of-service assessment of public transportation system using historical bus location data, and a passenger-mobility estimation using ticket sales data from smartcards. Both case studies use real data from the transportation system of Montevideo, Uruguay. The experimental evaluation demonstrates that the proposed model allows processing large volumes of data efficiently.
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