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Big data-based itinerary planning method and system

A technology of itinerary planning and big data, applied in the field of itinerary planning methods and systems based on big data, can solve the problems that travel planning cannot meet the daily needs of the public, travel points and road information are not detailed, and users change the play route, etc. Achieve the effect of avoiding duplicate paths or other failed plans, high resolution time and reasonable results

Pending Publication Date: 2022-04-08
ZHEJIANG LISHI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] First, the user's itinerary will change according to the actual play experience, and some uncertain factors will also cause the user to change the play route
However, the current itinerary planning only considers the best planned route that meets the user's expectations, and does not achieve enough flexibility;
[0005] Second, the travel point and route information is not detailed
[0008] Therefore, based on the widespread use of big data in today's society, this article shows that ordinary travel planning can no longer meet the daily needs of the public. Use big data calculations to solve the needs of users in various aspects of travel planning, and propose a big data-based travel planning method and system

Method used

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  • Big data-based itinerary planning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] refer to figure 1 As shown, this embodiment provides a big data-based itinerary planning method, including the following steps:

[0040] Obtain the search data of the current user, classify the user history database, and obtain the destination distribution of the user in each time period of the current date according to each date type;

[0041] Conduct user behavior analysis, and use the destination with the highest frequency as the current user's predicted destination in the current time period of the current date;

[0042] After the destination data is processed, the information is integrated, and one or more public transportation schemes are calculated and pushed to the user;

[0043] Select the itinerary planning data that conforms to the user's preferences, and display it to the user in the display mode set by the platform that the user searches for.

[0044] In this embodiment, based on the widespread use of big data in today's society, ordinary travel planning ...

Embodiment 2

[0046] On other levels, this embodiment proposes a big data-based itinerary planning method on the basis of Embodiment 1, specifically as follows:

[0047] In this embodiment, the search data of the current user is obtained, and the user history database is classified according to the search date and geographical information to obtain various types of user data on different dates.

[0048]When this embodiment is optimized, the date includes the working day date and the holiday date, and the geographical information includes data of latitude and longitude, local time, and permanent location.

[0049] In this embodiment, the user's historical data of each date searched in the database includes the current user's usage data, which are respectively weekday user historical data and holiday user historical data. According to the user historical data of each date type, the current user is obtained in each time period of the current date Destination distribution within.

[0050] In t...

Embodiment 3

[0059] refer to figure 2 As shown, this embodiment provides a big data-based itinerary planning system, including

[0060] The demand collection module is used to interact with users, collect user needs, analyze the original information searched by users, and calculate the number of fields of demand information;

[0061] The data analysis module is used to judge the demand information provided by the user, and judge the real demand of the user in the search, and extract 2-3 key fields;

[0062] Data storage module: used to store user data, and establish user preferences and user portraits in the later stage through algorithms;

[0063] The program solution module is used to integrate and summarize the perceived information and push the itinerary planning program and the reservation service of related needs.

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Abstract

The invention relates to the technical field of itinerary planning, in particular to an itinerary planning method and system based on big data, and the method comprises the following steps: obtaining the search data of a current user, classifying a user historical database, and obtaining the destination distribution of the user in each time period of the current date according to each date type; user behavior analysis is carried out, and the destination with the highest going frequency is used as the predicted destination of the current user in the current time period of the current date; processing the destination data, integrating the information, calculating to obtain one or more public transport schemes, and pushing the one or more public transport schemes to the user; and selecting the itinerary planning data conforming to the preference setting of the user, and displaying the itinerary planning data to the user in a display mode set by the platform searched by the user. According to the invention, the user and the traveler can select the optimal travel path according to own needs, the result pushed to the user is more reasonable, the individual needs are better met, and the user feels more intimate.

Description

technical field [0001] The invention relates to the technical field of itinerary planning, in particular to a method and system for itinerary planning based on big data. Background technique [0002] At present, the solutions provided in this aspect of itinerary planning are not very user-friendly. Users need to select and search each information during the search process, and after the user searches, they can only get the results directly based on the distance between the original two points. It is not a very user-friendly solution, which makes users spend too much time and money. Another situation is that users need to search temporarily for places they are unfamiliar with and have never been to, and use other people's existing experience to judge their travel itinerary. planning. [0003] The major drawbacks of the prior art are: [0004] First, the user's itinerary will change according to the actual play experience, and some uncertain factors will also cause the user ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9537G06F16/9535G06F16/909G06F16/906G06F16/9035G06Q10/04G06Q30/06
Inventor 付萍陈海江
Owner ZHEJIANG LISHI TECH
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