Passenger flow prediction method and device, computer program product and electronic equipment

CN119963249APending Publication Date: 2025-05-09CHINA TELECOM CORP LTD
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202510142600.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-08
Publication Date
2025-05-09

AI Technical Summary

Technical Problem

The prior art has problems such as insufficient accuracy, high time-consuming and difficult to determine impact factors and difficulty in dealing with multidimensional feature data when predicting tourist flow in scenic spots.

Method used

A passenger flow prediction method is adopted to obtain the characteristic data sequence of the target area and use the pre-trained target passenger flow prediction model for analysis. The model includes a first feature weight calculation module based on the improved particle swarm optimization algorithm and a second feature weight calculation module based on the multi-head attention mechanism, and adjusts the mutation probability of particles in combination with adaptive probability mutations.

Benefits of technology

It improves the accuracy and efficiency of passenger flow prediction, can process multi-dimensional feature data more effectively, and enhances the prediction performance and interpretability of the model.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119963249A_ABST
    Figure CN119963249A_ABST
Patent Text Reader

Abstract

The invention discloses a passenger flow prediction method and device, a computer program product and electronic equipment. The method comprises the steps that a first feature data sequence set of a target area in a first time period is acquired, and the first feature data sequence set comprises a plurality of first feature data sequences corresponding to a plurality of feature dimensions; analyzing the first feature data sequence set by using a target passenger flow prediction model to obtain a first passenger flow prediction value of the target area in a second time period, the target passenger flow prediction model at least comprises a first feature weight calculation module based on an improved particle swarm optimization algorithm and a second feature weight calculation module based on a multi-head attention mechanism, and the improved particle swarm optimization algorithm uses adaptive probability mutation to adjust the mutation probability of particles; the second time period is a time period after the first time period. The technical problem that the tourism experience of tourists is greatly reduced due to the fact that the scenic spot passenger flow information cannot be accurately predicted in the prior art is solved.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Cited By

  • Passenger flow detection method and system

    CN120509617A