A hadoop-based vehicle congestion acquisition method
An acquisition method and technology of congestion degree, applied in the field of Internet of Vehicles communication, can solve the problems of unsuitable analysis of traffic conditions, large amount of traffic information, and long time consumption, and achieve the effect of fast processing speed, improved computing efficiency, and less time.
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[0055] figure 1 It is a flow chart of the Hadoop-based vehicle congestion degree acquisition method of the present invention.
[0056] In this example, if figure 1 Shown, the vehicle congestion degree acquisition method based on Hadoop of the present invention may further comprise the steps:
[0057] S101. Process statistical data through the MapReduce programming model; input the statistical GPS information, and divide the GPS information into N data fragments through the MapReduce programming model. When the Map() function reads the data fragments, one record is read each time, that is, the data fragments A row of GPS messages, read the next record after reading one record, the Map() function will decompose the read row of records into key-value pairs n ,V n >,n=1,2,…N, at K n Enter the offset of the first character of this line in the file, in V n Enter the content of this line of messages, where, V n The contents of the input message include: vehicle number no, gps me...
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