Passenger Flow Analysis of Bus Stations on Massive Bus Card Data
CAO Yaqi
DING Weilong
Abstract：In the public traffic business, massive and diverse bus IC card data have been generated, and it is the key point of the intelligent transport to provide quick and accurate passengers flow analysis of bus stations.In the past the study of traffic is just a simple data statistics and the accuracy is not high, as well as the parallel algorithm under the massive data size does not have the ability of horizontal extension.Aiming at this problem, through the analysis of the characteristics of huge amounts of multivariate data, a kind of clustering algorithm is developed based on the massive bus card data, the calculation of a week of data can be completed in minutes, and the calculation accuracy is improved according to the rules of the time difference and distance constraints.The computing of time-sharing traffic has a good expansibility basis on Hadoop MapReduce when the data scale is increasing, the execution time remains relatively stable in the unit data scale, and the results of the analysis has high accuracy.
Keywords：bus card datamassive datapassenger flow include get on/off bus in bus stationtransfer passenger flow in bus station
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 247-253 )