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Cluster Computing

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20.01.2018

The method and application of big data mining for mobile trajectory of taxi based on MapReduce

Erschienen in: Cluster Computing | Sonderheft 5/2019

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Abstract

With the rapid development of urbanization, the imbalance between supply and demand of taxi is becoming more and more serious. Therefore, in this paper, the method and application of large data mining of taxi moving trajectory based on MapReduce were proposed. Firstly, the important role of the large data analysis and excavation of the taxi mobile trajectory in various fields and the related research results were elaborated. Secondly, the distributed computing framework MapReduce in the current mature Hadoop platform was combined with the mining algorithm to extract the trajectory characteristics of the taxi and analyze the hot spots. The mobile trajectory data of 13800 taxis in S City of Guangdong Province were used as experimental objects, and case verification was carried out. The result of the verification proves that the method is valid, and also validates the main reason for the current taxi from the side.

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Titel: The method and application of big data mining for mobile trajectory of taxi based on MapReduce
Publikationsdatum: 20.01.2018
Erschienen in: Cluster Computing / Ausgabe Sonderheft 5/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1402-6

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