CN112905910A - Method and system for intelligently recommending scenic spot tour routes based on public transport means - Google Patents
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Abstract
The invention discloses a method and a system for intelligently recommending scenic spot tour routes based on public transport means, which relate to the technical field of data analysis and are realized by the following steps: acquiring the current geographic position of a user, the selected public transport means, a target city and the geographic position of a target scenic spot; setting scoring rules of distance and time, obtaining and scoring a plurality of tour route planning maps taking the current geographic position of the user as a starting point, obtaining and scoring driving routes and driving times of public transportation means between adjacent target scenic spots in the tour route planning maps, adding the two scores to obtain a comprehensive score of the tour route planning maps, arranging the tour route planning maps in a descending order according to the comprehensive score, generating a tour report according to the tour route planning maps and the driving routes of the corresponding public transportation means, and automatically pushing the tour report to the user for viewing. The invention can simplify the process of planning the tour route planning chart by the user, and the user can walk with less curve in the travel process.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a system for intelligently recommending scenic spot tour routes based on public transport means.
Background
Modern society economy develops rapidly, people's standard of living is constantly improving, and more people begin to pay close attention to self development and temperament, and the more and more important mode that people increased the insight and improve the quality of life of going out to travel. Because the user is not familiar with strange cities, scenic spots and traffic routes, much time and energy are spent on planning the tour route planning map, namely, the tour resources cannot be effectively utilized to fully experience various cultural personalities of the tour places by selecting public transport vehicles with shortest distance and short spent time to ride the routes.
In the products of intelligent journey planning, the riding routes of public transport means are less and not specific at present, but the riding routes are a big problem in the process of people traveling.
Disclosure of Invention
Aiming at the requirements and the defects of the prior art development, the invention provides a method and a system for intelligently recommending scenic spot tour routes based on public transport means.
Firstly, the invention provides a method for intelligently recommending scenic spot tour routes based on public transport means, and the technical scheme adopted for solving the technical problems is as follows:
a method for intelligently recommending scenic spot tour routes based on public transportation means is realized by the following steps:
s1, acquiring the current geographic position of the user, and acquiring the geographic positions of public transportation vehicles, target cities and target scenic spots selected by the user;
step S2, setting a distance scoring rule, calculating the distance from the current geographical position of the user to the geographical position of each target scenic spot, sequentially connecting the current geographical position of the user with all target scenic spots on the basis of the minimum distance value to obtain a plurality of tour route planning maps taking the current geographical position of the user as a starting point, and arranging the tour route planning maps in ascending order according to the distance values;
step S3, according to the distance scoring rule, scoring the distance between the adjacent target scenic spots in the tour route planning map, and adding to obtain the total distance score of the tour route planning map;
step S4, setting a time scoring rule, calling a third-party digital map, acquiring a driving route and driving time of public transportation means between adjacent target scenic spots in the tour route planning map, carrying out time scoring on the driving time according to the time scoring rule, and adding to obtain a total time score of the tour route planning map;
and step S5, obtaining a comprehensive score of the tour route planning map based on the total distance score and the total time score, arranging the tour route planning map in a descending order according to the comprehensive score, generating a tour report according to the tour route planning map and the driving route of the corresponding public transport means, and automatically pushing the tour report to a user for viewing.
When step S1 is executed, the current geographic location of the user and the geographic location of the destination point of interest are obtained by using the global positioning system.
In the process of executing step S2, after the distance from the current geographical position of the user to the geographical position of each destination sight spot is calculated, the three sight spots with the smallest distance values are selected as the first destination sight spots respectively, and the remaining destination sight spots are sequentially connected on the basis of the smallest distance values, so as to obtain three tour route planning maps with the current geographical position of the user as the starting point.
When step S2 is executed, the tour diagram arranged in ascending order of distance value also generates a distance report, which is only pushed to the customer for viewing when the user does not consider the time consumption in the tour using the distance value as the scoring criterion.
And step S5 is executed, when the tour route planning map is arranged in a descending order according to the comprehensive scores, the tour price and the destination sight spot ticket price of the public transportation means in the tour route planning map are obtained by calling APP related to tourism, a tour report is generated according to the tour route planning map, the driving route corresponding to the public transportation means, the tour price of the public transportation means and the destination sight spot ticket price, and the tour report is automatically pushed to a user for viewing.
Secondly, the invention provides a system for intelligently recommending scenic spot tour routes based on public transport means, and the technical scheme adopted for solving the technical problems is as follows:
a system for intelligently recommending sight-seeing routes based on public transportation, comprising:
the acquisition module is used for acquiring the current geographic position of the user and acquiring the geographic positions of public transport vehicles, target cities and target scenic spots selected by the user;
the user-defined module is used for setting a distance scoring rule and a time scoring rule in a user-defined mode;
the calculation processing module is used for calculating the distance from the current geographical position of the user to the geographical position of each target scenic spot, sequentially connecting the current geographical position of the user with all the target scenic spots by using the principle of minimum distance value as a principle, obtaining a plurality of tour route planning maps by using the current geographical position of the user as a starting point, and arranging the tour route planning maps in ascending order according to the distance values;
the distance scoring module is used for scoring the distance between the adjacent target scenic spots in the tour route planning map according to a distance scoring rule and adding the distances to obtain the total distance score of the tour route planning map;
the calling and obtaining module is used for calling a third-party digital map to obtain the driving route and the driving time of the public transportation means between the adjacent target scenic spots in the tour route planning map,
the time scoring module is used for scoring the running time of the public transport means according to a time scoring rule and adding the running time to obtain the total time score of the tour route planning map;
the comprehensive processing module is used for obtaining a comprehensive score of the tour route planning map based on the total distance score and the total time score;
and the intelligent recommendation module is used for arranging the tour route planning drawings in a descending order according to the comprehensive scores, generating a tour report according to the tour route planning drawings and the driving routes of the corresponding public transport means, and automatically pushing the tour report to a user for viewing.
Optionally, the obtaining module obtains the current geographic position of the user and the geographic position of the destination spot by using a global positioning system.
Optionally, after the calculation processing module calculates the distance from the current geographical position of the user to the geographical position of each destination scenic spot, the three scenic spots with the smallest distance values are selected as the first destination scenic spots respectively, and the other destination scenic spots are connected in sequence on the basis of the smallest distance value, so as to obtain three tour route planning maps with the current geographical position of the user as the starting point.
Optionally, the related intelligent recommendation module generates a distance report according to the tour route planning graph with ascending distance values, the distance report only takes the distance values as scoring criteria, and the distance report is pushed to the client to be viewed when the user does not consider the time consumption in the tour.
Optionally, when the related intelligent recommendation module arranges the tour route planning map in a descending order according to the comprehensive score, the related intelligent recommendation module calls the APP related to tourism to obtain the tour price and the destination sight spot ticket price of the public transportation means in the tour route planning map, generates a tour report according to the tour route planning map, the driving route corresponding to the public transportation means, the tour price of the public transportation means and the destination sight spot ticket price, and automatically pushes the tour report to the user for viewing.
Compared with the prior art, the method and the system for intelligently recommending the scenic spot tour routes based on the public transport means have the beneficial effects that:
(1) the invention simplifies the flow of planning the tour route planning chart by the user, saves the planning time, reduces the error of the user in the travel process, and ensures that the user has little bending in the travel process;
(2) the method can help the user to conveniently and quickly plan the optimal tour traffic route when the user travels in a strange city, and the planned route is based on the target scenic spot, the starting place and the public transportation means selected by the user, so that the time for the user to check the map again and again to determine the tour sequence can be saved, the tour report meeting the requirement can be intelligently recommended to the user, and the mistakes of taking few rides, missing rides or wrong rides in the tour process of the user can be avoided.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system framework diagram of the present invention.
The reference information in the drawings indicates:
1. an acquisition module, 2, a self-defining module, 3, a calculation processing module, 4 and a distance scoring module,
5. the method comprises the steps of calling an acquisition module, 6, a time scoring module, 7, a comprehensive processing module and 8, and an intelligent recommendation module.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the present invention more clearly apparent, the following technical scheme of the present invention is clearly and completely described with reference to the specific embodiments.
The first embodiment is as follows:
with reference to fig. 1, the embodiment provides a method for intelligently recommending scenic spot tour routes based on public transportation, which includes:
and step S1, acquiring the current geographic position Q of the user by using the global positioning system, and taking the geographic position as a starting point.
And S2, acquiring the public transport means, the target city and the target scenic spot selected by the user, and acquiring the geographical position of the target scenic spot by using the global positioning system. The destination point of sight can be one or more, such as A, B, C, D.
And step S3, setting a distance scoring rule and a time scoring rule. As the distance becomes longer, the score becomes progressively smaller; the score becomes progressively smaller as time becomes progressively longer.
And step S4, calculating the distance from the current geographic position of the user to the geographic position of each destination sight spot, namely calculating the distance from Q to A, B, C, D respectively.
And step S5, sequentially connecting the current geographic position of the user with all destination scenic spots on the basis of the minimum distance value to obtain three tour route planning maps taking the current geographic position of the user as a starting point. Specifically, three destination scenic spots with the shortest distance to the current geographic position of the user are obtained first, and at this time, it is assumed that: the three scenic spots with the shortest distance to the Q are A, B, C, the scenic spot with the longest distance to the Q is D, and the three scenic spots are arranged according to the distance between two points, which is gradually increased: the distance between A and B, the distance between B and D, the distance between A and C, the distance between A and D, the distance between D and C, the distance between B and C; the three destination sights A, B, C are respectively used as the first destination sight, the second destination sight with the shortest distance to the first destination sight is found, the third destination sight closest to the second destination sight is found until the last destination sight is found, and the destination sight with the shortest distance is sequentially connected to form a tour route planning diagram which is respectively Q → A → B → D → C, Q → B → A → C → D, Q → C → A → B → D.
Step S6, arranging the three tour route planning diagrams in ascending order according to the distance values, assuming that the ordering is: q → A → B → D → C, Q → C → A → B → D, Q → B → A → C → D.
And step S7, scoring the distances between the adjacent target scenic spots in the three tour route planning maps according to the distance scoring rule, and adding to obtain the total distance score of each tour route planning map. In this case, the two points are scored in order of increasing distance, and the score is lower as the distance is larger, assuming that the results ranked as the total distance score is gradually smaller are: q → A → B → D → C, Q → C → A → B → D, Q → B → A → C → D.
And step S8, calling a third-party digital map, and acquiring the driving route and the driving time of the public transportation means between the adjacent destination scenic spots in each tour route planning map. At this time, it is assumed that the ascending ranking of travel times results in: q → C → A → B → D, Q → A → B → D → C, Q → B → A → C → D.
Step S9, time scoring is performed on the travel time according to a time scoring rule, and the shorter the travel time is, the higher the time score is, and then the total time score of each tour route planning map is obtained by adding, assuming that the ascending ranking result according to the total time score is: q → C → A → B → D, Q → A → B → D → C, Q → B → A → C → D.
Step S10, obtaining a comprehensive score of the three tour route planning maps based on the total distance score and the total time score, arranging the three tour route planning maps in a descending order according to the comprehensive score, and assuming that the arrangement result is: q → C → A → B → D, Q → A → B → D → C, Q → B → A → C → D, i.e. the optimal tour route planning map is Q → C → A → B → D.
And step S11, respectively generating tour reports from the three tour route planning drawings according to the tour route planning drawings and the driving routes of the corresponding public transport means, and automatically pushing the tour reports to a user for viewing according to the comprehensive scoring result.
In the implementation process of the embodiment, in order to better adapt to the user requirements:
(1) the tour route planning map arranged in ascending order of distance values also generates distance reports, which are pushed to the customer for viewing when the customer does not consider the time consumption in the journey, only by taking the distance values as scoring criteria.
(2) When the tour route planning map is arranged in a descending order according to the comprehensive scores, the tour prices of the public transportation means and the destination sight spot ticket prices in the tour route planning map are obtained by calling the APP related to tourism, a tour report is generated according to the tour route planning map, the driving route corresponding to the public transportation means, the tour prices of the public transportation means and the destination sight spot ticket prices, and the tour report is automatically pushed to a user for viewing.
Example two:
with reference to fig. 2, the present embodiment provides a system for intelligently recommending scenic spot tour routes based on public transportation, which includes:
the acquisition module 1 acquires the current geographic position of a user and the geographic position of a target scenic spot by using a global positioning system, and acquires a public transport means and a target city selected by the user;
the self-defining module 2 is used for self-defining and setting a distance scoring rule and a time scoring rule;
the calculation processing module 3 is used for calculating the distance from the current geographical position of the user to the geographical position of each target scenic spot, selecting three scenic spots with the minimum distance values as first target scenic spots respectively, connecting the other target scenic spots in sequence on the basis of the minimum distance value to obtain three tour route planning maps taking the current geographical position of the user as a starting point, and arranging the three tour route planning maps in ascending order according to the distance values;
the distance scoring module 4 is used for scoring the distance between the adjacent target scenic spots in each tour route planning map according to a distance scoring rule, and adding the distances to obtain the total distance score of each tour route planning map;
the calling and obtaining module 5 is used for calling a third-party digital map to obtain the driving route and the driving time of the public transportation means between the adjacent target scenic spots in each tour route planning map,
the time scoring module 6 is used for scoring the travel time of the public transport means according to a time scoring rule and adding the travel time to obtain the total time score of each tour route planning map;
the comprehensive processing module 7 is used for obtaining a comprehensive score of each tour route planning map based on the total distance score and the total time score;
and the intelligent recommendation module 8 is used for arranging the three tour route planning drawings in a descending order according to the comprehensive scores, generating a tour report according to the tour route planning drawings and the driving routes of the corresponding public transport means, and automatically pushing the tour report to a user for viewing.
In this embodiment, the intelligent recommendation module 8 is further configured to generate a distance report according to the tour route planning map with ascending distance values, where the distance report only uses the distance values as scoring criteria, and is pushed to the customer for viewing when the user does not consider the time consumption in the journey.
In this embodiment, the intelligent recommendation module 8 may further call an APP related to travel, obtain a trip price of a public transportation vehicle and a destination sight spot ticket price in the tour route planning map, generate a tour report according to the tour route planning map, a driving route corresponding to the public transportation vehicle, the trip price of the public transportation vehicle and the destination sight spot ticket price, and automatically push the tour report to a user for viewing;
in summary, the method and the system for intelligently recommending the scenic spot tour route based on the public transportation can simplify the process of planning the tour route planning diagram by the user, save the planning time, reduce the errors of the user in the traveling process and enable the user to walk with less curves in the traveling process.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (10)
1. A method for intelligently recommending scenic spot tour routes based on public transportation means is characterized by comprising the following steps:
s1, acquiring the current geographic position of the user, and acquiring the geographic positions of public transportation vehicles, target cities and target scenic spots selected by the user;
step S2, setting a distance scoring rule, calculating the distance from the current geographical position of the user to the geographical position of each target scenic spot, sequentially connecting the current geographical position of the user with all target scenic spots on the basis of the minimum distance value to obtain a plurality of tour route planning maps taking the current geographical position of the user as a starting point, and arranging the tour route planning maps in ascending order according to the distance values;
step S3, according to the distance scoring rule, scoring the distance between the adjacent target scenic spots in the tour route planning map, and adding to obtain the total distance score of the tour route planning map;
step S4, setting a time scoring rule, calling a third-party digital map, acquiring a driving route and driving time of public transportation means between adjacent target scenic spots in the tour route planning map, carrying out time scoring on the driving time according to the time scoring rule, and adding to obtain a total time score of the tour route planning map;
and step S5, obtaining a comprehensive score of the tour route planning map based on the total distance score and the total time score, arranging the tour route planning map in a descending order according to the comprehensive score, generating a tour report according to the tour route planning map and the driving route of the corresponding public transport means, and automatically pushing the tour report to a user for viewing.
2. The method for recommending tourist attractions based on public transportation vehicle intelligence as claimed in claim 1, wherein the step S1 is executed by using a global positioning system to obtain the current geographic position of the user and the geographic position of the destination attraction.
3. The method as claimed in claim 1, wherein in the step S2, after calculating the distance from the current geographic location of the user to the geographic location of each destination sight spot, selecting three sight spots with the smallest distance values as the first destination sight spots, and connecting the other destination sight spots in turn on the basis of the smallest distance value, thereby obtaining three tour route planning maps with the current geographic location of the user as the starting point.
4. The method as claimed in claim 1, wherein the step S2 is performed, and the tour layout chart arranged in ascending order of distance value generates a distance report, which is only based on distance value as scoring criterion and pushed to the customer to be viewed when the customer does not consider the time consumption in the tour.
5. The method for intelligently recommending scenic spot tourist routes based on public transportation vehicles according to claim 1, wherein step S5 is executed, when the tourist route planning map is arranged in descending order according to the composite score, the tour price and the destination scenic spot ticket price of the public transportation vehicle in the tourist route planning map are obtained by calling APP related to tourism, and a tourist report is generated according to the tourist route planning map, the driving route corresponding to the public transportation vehicle, the tour price of the public transportation vehicle and the destination scenic spot ticket price and automatically pushed to the user for viewing.
6. A system for intelligently recommending sight spot tour routes based on public transportation means is characterized by comprising:
the acquisition module is used for acquiring the current geographic position of the user and acquiring the geographic positions of public transport vehicles, target cities and target scenic spots selected by the user;
the user-defined module is used for setting a distance scoring rule and a time scoring rule in a user-defined mode;
the calculation processing module is used for calculating the distance from the current geographical position of the user to the geographical position of each target scenic spot, sequentially connecting the current geographical position of the user with all the target scenic spots by using the principle of minimum distance value as a principle, obtaining a plurality of tour route planning maps by using the current geographical position of the user as a starting point, and arranging the tour route planning maps in ascending order according to the distance values;
the distance scoring module is used for scoring the distance between the adjacent target scenic spots in the tour route planning map according to a distance scoring rule and adding the distances to obtain the total distance score of the tour route planning map;
the calling and obtaining module is used for calling a third-party digital map to obtain the driving route and the driving time of the public transportation means between the adjacent target scenic spots in the tour route planning map,
the time scoring module is used for scoring the running time of the public transport means according to a time scoring rule and adding the running time to obtain the total time score of the tour route planning map;
the comprehensive processing module is used for obtaining a comprehensive score of the tour route planning map based on the total distance score and the total time score;
and the intelligent recommendation module is used for arranging the tour route planning drawings in a descending order according to the comprehensive scores, generating a tour report according to the tour route planning drawings and the driving routes of the corresponding public transport means, and automatically pushing the tour report to a user for viewing.
7. The system for intelligent public transportation based recommendation of sight seeing route as claimed in claim 6, wherein said acquisition module utilizes global positioning system to acquire the current geographic location of the user and the geographic location of the destination sight.
8. The system of claim 6, wherein the computing module calculates the distance from the current geographic location of the user to the geographic location of each destination sight spot, selects the three sight spots with the smallest distance values as the first destination sight spots, and connects the other destination sight spots in sequence on the basis of the smallest distance value to obtain three routing maps of the tour route with the current geographic location of the user as the starting point.
9. The system for recommending scenic spot tour routes based on public transportation vehicle intelligence as claimed in claim 6, wherein said intelligent recommendation module further generates distance report according to tour route planning map with ascending distance value, the distance report only takes distance value as scoring criterion, and the distance report is pushed to the customer for viewing when the customer does not consider time consumption in the tour.
10. The system for intelligently recommending scenic spot tour routes based on public transportation according to claim 6, wherein when the intelligent recommendation module arranges the tour route planning map in a descending order according to the composite score, the intelligent recommendation module calls APP related to tourism to obtain a tour price and a destination scenic spot ticket price of the public transportation in the tour route planning map, generates a tour report according to the tour route planning map, a driving route corresponding to the public transportation, the tour price of the public transportation and the destination scenic spot ticket price, and automatically pushes the tour report to a user for viewing.
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