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Tourist traffic association area big data generation method

A technology associated with regions and big data, applied in the field of urban transportation to improve travel quality and promote reasonable distribution

Inactive Publication Date: 2018-01-19
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, all these measures and means cannot fundamentally solve the problems brought about by the growth of tourist traffic passenger flow.

Method used

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  • Tourist traffic association area big data generation method

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Embodiment Construction

[0013] Such as figure 1 As shown, the large data generation method of tourism traffic related area of ​​the present invention comprises:

[0014] Step S1: Sorting the scenic spots visited by each tourist in chronological order, so as to generate a time series of tourist attractions for each tourist, and create an empty frequent sequence set.

[0015] Step S2: Obtain a time series of tourists' tourist attractions, split the time series of tourist attractions into minimum subsequences, and generate candidate sequence sets from the minimum subsequences and the combined sequences of the minimum subsequences.

[0016] Step S3: Calculate the support of each candidate sequence in the candidate sequence set, delete the candidate sequences whose support is less than the threshold, and insert the candidate sequences whose support is greater than the threshold into the frequent sequence set.

[0017] Wherein, the threshold value of the support degree is 40%. The support degree of the c...

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Abstract

The invention discloses a tourist traffic association area big data generation method. The method includes S1: ordering the scenic spots of each tourist according to the time sequence to generate a time sequence of the scenic spots; S2: acquiring the scenic spot time sequence of a tourist, splitting the scenic spot time sequence into a minimum sub-sequence to generate a candidate sequence set; S3:calculating the support degree of each candidate sequence in the candidate sequence set, and inserting the candidate sequences with the support degrees larger than the threshold value into a frequentsequence set; S4, returning to S2 until the scenic spot time sequences of all tourists are read; S5 calculating the confidence coefficients and the gain values of the frequent sequences in the frequent sequence set, reserving the frequent sequence of which the confidence coefficient in the frequent sequence set is larger than the threshold value and the gain value is larger than 1, namely, the last reserved frequent sequence being an effective correlation rule. The method has the advantages of being capable of timely and completely generating the tourist traffic association area big data.

Description

technical field [0001] The invention relates to the field of urban traffic, in particular to a method for generating big data of tourism traffic related areas. Background technique [0002] In recent years, with the continuous improvement of residents' income levels, changes in consumption concepts, and the increase in leisure time, tourism has increasingly become an important feature to measure the quality of life and happiness index of residents. At the same time, governments at all levels are actively grasping the new trends in the process of economic and social development and change, taking tourism as an industry, and promoting it through various measures and means, so that the number of tourists has doubled. The growth of tourist flow, on the one hand, has improved the living standards of residents and promoted economic development; on the other hand, it has also caused problems such as urban road congestion and traffic facility failures, seriously affecting the qualit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/26G06Q50/14
Inventor 张永项译
Owner SOUTHEAST UNIV
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