Study on peak traffic estimation based on multi-source heterogeneous data fusion
Traditional passenger flow statistics methods often rely on a single data source,making it difficult to accurately re-flect changes in passenger flow.Therefore,a peak passenger flow estimation method for scenic spots based on multi-source hetero-geneous data fusion is proposed.Based on the correlation coefficient of scenic spot passenger flow data,white noise is determined and removed.The processed data is fused with multi-source heterogeneous data to extract scenic spot passenger flow characteris-tics,and peak estimation of scenic spot passenger flow is achieved based on these characteristics.The experimental results show that the proposed method has low average absolute error,root mean square error,and weighted average absolute percentage error.The estimated peak passenger flow in scenic areas has a high degree of fit with the measured values.
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