Journey planning system and method based on big data

A technology of itinerary planning and big data, applied in data processing applications, instruments, forecasting, etc., can solve the problems of increasing the carrying capacity of scenic spots, increasing the amount of system calculation, and inaccurate calculation results.

Active Publication Date: 2021-01-22
成都中科大旗软件股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the above-mentioned scenic spots, when the itinerary plan is generated, tourists may automatically avoid or choose one of the scenic spots preferred by tourists due to the problem of the total visiting time, resulting in difficult choices for tourists in the itinerary planning and being forced to give up plans that include more scenic spots.
However, on the day of the tour, the actual number of queues in the scenic spot may be quite different from the estimated number of queues, allowing tourists to visit more scenic spots on the day, but tourists are guided by the itinerary planning and miss it, leaving regrets during the trip
In addition, it is also very unfavorable for the guidance and drainage of local tourism. For example, after a large number of

Method used

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  • Journey planning system and method based on big data
  • Journey planning system and method based on big data
  • Journey planning system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Such as figure 1 A travel planning system based on big data is shown, including an information input module, an analysis module, a plan output module and a data statistics module,

[0062] The information input module is used to collect input demand information;

[0063] The analysis module is used to generate the main scenic spot scheme and the alternative scenic spot scheme according to the demand information, calculate the expected play time of the main scenic spot scheme and the alternative scenic spot scheme, and send the main scenic spot scheme to the scheme output module; The real-time play time of the scenic spot, calculate the current play time of the main scenic spot plan and the alternate scenic spot plan, compare the expected play time with the current play time, and output to the plan when the current play time of the main scenic spot plan and the alternate scenic spot plan meets the preset conditions The module sends alternative scenic spot schemes that m...

Embodiment 2

[0072] On the basis of embodiment 1, the demand information includes the intended scenic spot, the starting place and the duration of the tour, the analysis module matches the intended scenic spot, and obtains the non-intended scenic spot adjacent to the intended scenic spot based on the intended scenic spot, and retrieves the intended scenic spot. The historical play time of the scenic spot and the non-intended scenic spot, based on the length of the tour and the historical play time, multiple scenic spot plans are obtained, as well as the estimated play time corresponding to the scenic spot plan. The scenic spot plan includes at least one intended scenic spot; Screen out the main scenic spot scheme, use the remaining scenic spot schemes as alternative scenic spot schemes, and sort the alternative scenic spot schemes according to the second screening condition; the first screening condition is to include the scenic spot scheme with the largest number of intended scenic spots as...

Embodiment 3

[0075] On the basis of the above embodiments, the preset condition of the system is that the current play time of the alternative scenic spot scheme is less than the expected play time of the alternative scenic spot scheme, or the current play time of the alternative scenic spot scheme is greater than the expected play time of the alternative scenic spot scheme time, and the current play time of the main scenic spot plan is also greater than the expected play time of the main scenic spot plan.

[0076] In one or more embodiments, the current play time of the alternative scenic spot scheme is not greater than 70-80% of its expected play time.

[0077] In some embodiments, when the current play time of the alternative scenic spot plan is greater than the expected play time of the alternative scenic spot plan, and the current play time of the main scenic spot plan is also greater than the expected play time of the main scenic spot plan, the pushed alternative scenic spot plan The...

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PUM

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Abstract

The invention relates to a travel planning system and method based on big data, and the system comprises an information input module which is used for collecting the inputted demand information; an analysis module used for generating main scenic spot schemes and alternative scenic spot schemes, calculating the predicted travel time of each scenic spot scheme and sending the main scenic spot schemes to the scheme output module; calculating the current travel time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time travel time of each scenic spot acquired by the data statistics module, comparing the estimated travel time with the current travel time, and when the current travel time of the main scenic spot scheme and the alternative scenic spot scheme meets a preset condition, sending alternative scenic spot schemes meeting preset conditions to a scheme output module; a data statistics module used for obtaining the real-time travel time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme, and sending the real-time travel time of each scenic spot to the analysis module; and a scheme output module used for receiving and outputting the generated main scenic spot scheme or the alternative scenic spot scheme meeting the preset condition.

Description

technical field [0001] The invention relates to the field of travel route planning, in particular to a big data-based itinerary planning system and method. Background technique [0002] Tourism is an important part of modern service industry. With the upgrading of consumption level and the adjustment of industrial structure, people's travel methods have gradually developed from following tour groups in the early days to self-guided travel, and the travel methods are gradually diversified and personalized. [0003] While allowing tourists to design their itinerary more flexibly, self-guided tours directly present tourist information such as scenic spot locations, scenic spot information, traffic information, and accommodation information to tourists. Tourists have to deal with a large amount of travel information to design their own trip planning. However, this kind of design often neglects the other. For example, the full number of people in each scenic spot greatly prolon...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/14
CPCG06Q10/047G06Q50/14
Inventor 周道华黄维杨陈周涛曾俊黄泓蓓李武鸿伏彦林刘杰王小腊洪江彭容罗玉周林张明娟许江泽吴婷婷詹飞
Owner 成都中科大旗软件股份有限公司
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