Research and Application of Public Transit GPS Historical Trajectory Data Mining Method
By analyzing the basic elements and mining types of bus data updating,by using the principle of big data mining and combining the characteristics of bus GPS historical data,in this paper,a special method and algorithm for historical data mining and updating of public transit GPS is proposed,and a machine learning model is intro-duced to improve the mining algorithm ability.On this basis,a mining workflow was designed,and through the comparison of results,it can be concluded that in the data optimization cycle,the work rate can be increased from 15% to 50%,online data update frequency from weekly update to day update.The above data mining methods and algorithms effectively improve the update efficiency,improve the update accuracy,play an important role in bus data update operations,convenient for bus users to travel,promoting green travel.
Bus GPS historical dataBig data miningMining algorithmModel evaluationData update
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