CN110175720A - Tour schedule planing method and application - Google Patents
Tour schedule planing method and application Download PDFInfo
- Publication number
- CN110175720A CN110175720A CN201910463814.1A CN201910463814A CN110175720A CN 110175720 A CN110175720 A CN 110175720A CN 201910463814 A CN201910463814 A CN 201910463814A CN 110175720 A CN110175720 A CN 110175720A
- Authority
- CN
- China
- Prior art keywords
- user
- scenic spot
- preference
- time
- spot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000013439 planning Methods 0.000 claims abstract description 56
- 230000001186 cumulative effect Effects 0.000 claims description 12
- 230000002354 daily effect Effects 0.000 description 28
- 238000012216 screening Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of can formulate according to user demand and meets the desired tour schedule of user to save the tour schedule planing method of the planning time of user itself, it is characterized in that, include the following steps: step S1, user is obtained according to trip mode, starting city and target location and passes through the arrival website of trip mode arrival target location;Step S2 obtains each sight spot for corresponding to the target location as target scenic spot according to target location, and obtains the sight spot information of each target scenic spot, which includes sight spot estimated play time, assessment of scenic spot numerical value and the scenic spot location information of target scenic spot;Step S3 filters out the sight spot of the possible preference of user according to tourist-day, user preference and sight spot information as plan tourist attractions from each target scenic spot;Step S4 includes by the stroke planning result for planning tourist attractions for recommending tourism sequence sequence according to sight spot information, plan tourist attractions and arrival website generation.
Description
Technical field
The invention belongs to tourist service fields, and in particular to a kind of tour schedule planing method and application.
Background technique
With the development of traffic, going on a tour for people becomes increasingly to facilitate, therefore in festivals or holidays, people can be preferred to independently
Ground trip tourism is enjoyed and to conveniently loosen body and mind tourism with one of friend, household or itself people progress with a trip
More free tourism atmosphere is compared in trip.
But before autonomous tourism, people usually require to make largely to be prepared in advance, to formulate a trip for oneself
Roam all around the would case so that the sight spot for preferably selecting some oneself or kith and kin to prefer is played, while avoiding because when tourism does not have
Planning causes arrangement of time chaotic or travels the problem of forgetting to play certain sight spots on the way carefully.
Existing some tourism customization services are usually to have pre-established a series of tourism according to the sight spot in each city
Scheme, the tourism scheme for then allowing user to be fixed according to these are traveled;It is by artificial there are also some tourisms customization service
Tour schedule is customized for user, so that user be helped to formulate a tourism scheme that is as reasonable as possible and meeting user's needs.
However, the former is not able to satisfy diversified user's needs, some users wish that the user for laying particular stress on landscape, having lays particular stress on wave
It wishes to visit some sight spots with cultural spirit again while unrestrained tourism, fixed tourism customization service is difficult to meet all
The preference of user;Although the latter can be user's custom-made tour plan, this service not only needs extra work people
Member, which requires efforts, constantly to link up and develops programs with user, and user can also be allowed to generate additional stroke customization cost, meanwhile, people
Work planning is also bound to, and there are some not scientific enough arrangements.
Summary of the invention
To solve the above problems, provide one kind can according to user demand formulate meet the desired tour schedule of user to
The tour schedule planing method of the planning time of user itself is saved, present invention employs following technical solutions:
The present invention provides a kind of tour schedule planing method, for according to user input include at least starting city,
Target location, trip mode, the planning of user's tourism data of user preference and tourist-day can satisfy the desired trip of user
Parade journey, which comprises the steps of: step S1 is obtained according to trip mode, starting city and target location and used
Family reaches the arrival website of target location by trip mode;Step S2 obtains the corresponding target location according to target location
Each sight spot obtains the sight spot information of each target scenic spot as target scenic spot, which includes the scape of target scenic spot
Dot position information, sight spot estimated play time and assessment of scenic spot numerical value;Step S3, according to tourist-day, user preference and
Sight spot information filters out the sight spot of the possible preference of user as plan tourist attractions from each target scenic spot;Step S4, according to
Sight spot information, plan tourist attractions and arrival website generation include by the plan tourist attractions for recommending tourism sequence sequence
Stroke planning result.
Step S4 provided by the invention includes following sub-step: step S4-1 sets corresponding number of days according to tourist-day
Travelling schedule;Step S4-2 obtains corresponding first day travelling schedule and is used as same day travelling schedule;Step S4-3 chooses and arrives
A plan tourist attractions nearest up to website selected distance, which are used as, works as foreground point;Step S4-4, the sight spot for working as foreground point is pre-
Meter plays time cumulation to the cumulative time on the same day;Step S4-5, from the plan tourist attractions being not set to always when foreground point
Middle selection works as foreground point with when foreground point is used as apart from nearest plan tourist attractions;Step S4-6, when the initialization same day is accumulative
Between, and time cumulation will be played to the cumulative time on the same day when the sight spot of foreground point is estimated, it will further deserve foreground point and be added to
Current travelling schedule;Step S4-7, judge the cumulative time on the same day whether be more than it is preset play the time daily, if otherwise will be current
Sight spot is added to current travelling schedule and repeats step S4-5 to S4-6, if then entering step S4-8;Step S4-8, according to working as
The current travelling schedule of the preceding corresponding number of days storage of travelling schedule;Step S4-9 judges whether current travelling schedule is travelling schedule
Last day, if next day travelling schedule as current travelling schedule and is otherwise repeated step S4-4 to S4-8, if
Then enter step S4-10;Step S4-10 successively merges the travelling schedule of storage to form stroke planning result according to number of days.
Assessment of scenic spot numerical value provided by the invention be it is preset, and value range corresponding with user preference is 1~5
Integer numerical value, including scene value, culture value, romantic value, family's value and exploration value.
User preference provided by the invention is one, and step S3 further includes following sub-step: step S3-1a, according to user
Preference selects corresponding assessment of scenic spot numerical value, and each target scenic spot is ranked up from high to low according to assessment of scenic spot numerical value
To preference sight spot sequence;Step S3-2a is calculated according to tourist-day and preset time of playing daily for the time of playing;
Step S3-3a successively chooses target scenic spot from the sequence of preference sight spot and plays the time according to the sight spot of the target scenic spot is estimated
The target scenic spot that can be accommodated within for the time of playing is calculated as plan tourist attractions.
User preference provided by the invention be it is multiple, step S3 further includes following sub-step: step S3-1b, according to each
User preference selects corresponding assessment of scenic spot numerical value, and will be by the assessment of scenic spot of each target scenic spot according to preset weight ratio
Numerical value is multiplied to obtain overall merit numerical value, is further ranked up each target scenic spot from high to low according to overall merit numerical value
Obtain preference sight spot sequence;Step S3-2b, when being calculated according to tourist-day and preset time of playing daily for playing
Between;Step S3-3b, when successively choosing target scenic spot from the sequence of preference sight spot and playing according to the sight spot of the target scenic spot is estimated
Between calculate the target scenic spot that can accommodate within for the time of playing as plan tourist attractions.
The value of time provided by the invention of playing daily is 7~10 hours.Tour schedule planning side provided by the invention
Method can also have such technical characteristic, wherein and user's tourism data also includes age of user and tourist party's information,
Tourist party's information is whether to have the judgement information of the elderly, children in tourist party, and the time of playing daily is according to tourist group
Team's information and age of user float setting, when tourist party's information and age of user indicate tourist party there are the elderly or
Time of then playing daily when being children is set as the first duration, when tourist party's information and age of user indicate tourist party not
There are the times of then playing daily when the elderly or children to be set as the second duration, and the value of the first duration is 7~8 hours, the
The value of two durations is 8~10 hours.
The application of a kind of tour schedule planing method during user's stroke is suggested, which is characterized in that when user travels
It is according to different weight ratio that the assessment of scenic spot numerical value of corresponding user preference is mutually multiplied when user preference in data is multiple
Multiple stroke plannings are generated as a result, finally by multiple rows to different overall merit numerical value, and by tour schedule planing method
Journey program results feed back to user to provide a user stroke suggestion.
The application of a kind of tour schedule planing method during user's stroke is suggested, which is characterized in that when user travels
When user preference in data is one, the possible preference of user is judged according to user's tourism data, to by the preference and use
Family preference forms new supposition preference, further will correspond to the assessment of scenic spot numerical value phase for speculating preference according to different weight ratio
It is multiplied to arrive different overall merit numerical value, and multiple stroke planning results are generated by tour schedule planing method and feed back to user
To provide a user stroke suggestion.
Invention action and effect
Tour schedule planing method according to the present invention, since the target location selected according to user determines in the place
Target scenic spot is screened as target scenic spot, and according to user preference in sight spot, thus maximum in the travel time of user
It filters out the plan tourist attractions for meeting user preference with changing, stroke planning further is carried out to plan tourist attractions, thus
Meet each sight spot of user preference to not only including, but include the sight spot tourism route of optimization stroke planning as a result,
It realizes and maximumlly arranges tour plan in limited tourist-day for user.Tour schedule planing method of the invention can
The stroke planning for meeting user preference is provided as a result, user is made not need carrying out in advance according to the tourism data of user's input
It is a large amount of to prepare, it is only necessary to which that inputting preferences and the relevant data of tourism can obtain tourism planning suggestion.
Detailed description of the invention
Fig. 1 is the structural block diagram of tour schedule planning system in the embodiment of the present invention;
Fig. 2 is the flow chart of tour schedule planing method in the embodiment of the present invention;
Fig. 3 is the flow chart of target scenic spot screening step in the embodiment of the present invention;And
Fig. 4 is the flow chart that stroke planning result calculates step in the embodiment of the present invention.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, tie below
Examples and drawings are closed to be specifically addressed tour schedule planing method of the invention.
<embodiment>
In the present embodiment, operation has the computer program of tour schedule planing method of the invention to can be realized according to user
User's tourism data of input automatically generates the travel plan by recommending the sight spot of tourism to form, thus held by user
The display of computer shows and provides tour schedule suggestion, below by taking tour schedule planning system 100 as an example, illustrates the present invention
Tour schedule planing method:
Fig. 1 is the structural block diagram of tour schedule planning system in the embodiment of the present invention.
As shown in Figure 1, tour schedule planning system 100 has data obtaining module 1, information storage module 2, sight spot screening
Module 3, stroke planning computing module 4, input display module 5, communication module 6 and control module 7.
In the present embodiment, tour schedule planning system 100 is the computer that user holds, and modules are to transport in computer
Capable computer program.In other embodiments, tour schedule planning system 100 can also have subscriber side telecommunications module and
User side control module, information storage module 1, data obtaining module 2, sight spot screening module 3, stroke planning computing module 4,
Communication module 6 and control module 7 operate on the Platform Server held by travel server, input display module 5, user
Side communication module and user side control module operate on the computer held by user, what Platform Server was held with user
Computer communicates connection by communication module.
In the present embodiment, communication module 6 is used to carry out between each composition part of processing server 1 and processing service
Data exchange between device 1 and other terminals.Control module 7 contains for data obtaining module 1, information storage module 2, scape
The computer program that the work of point screening module 3, stroke planning computing module 4 and input display module 5 is controlled.
In the present embodiment, user's tourism data is inputted by user by inputting display module 5, comprising: user information, user
Originate city, target location, trip mode, user preference, tourist-day and tourist party's information.Wherein, user information is
The public informations such as age, the gender of user's input;It originates city and target location is the departure place and destination of user;With
Family trip mode is the mode of transportation originated between city and target location;Tourist-day is that user plans to carry out this time tourism
Maximum number of days;User preference is preset label and selects to obtain by user, is specifically divided into scene, culture, romantic, family
And exploration;Tourist party's information is that user carries out the team information of this time tourism (for example, tourist party's information can be a people
Go on a tour, it is double go on a tour, more people go on a tour or family goes on a tour), meanwhile, tourist party's information further includes whether tourist party has always
The information of the special populations such as year people, children.
Data obtaining module 1 is for obtaining information.When data obtaining module 1 get input display unit 5 make user defeated
After the user's tourism data entered, the data obtaining module 1 is just according to preset acquisition methods to stroke planning process needs
Information obtained, acquisition methods are as described in step S1 and step S2.
Fig. 2 is the flow chart of tour schedule planing method in the embodiment of the present invention.
As shown in Fig. 2, tour schedule planing method of the invention includes the following steps:
Step S1, trip mode, starting city and the target location that data obtaining module 1 is inputted according to user, which obtain, to be used
Family reaches the arrival website of target location by trip mode.
In the present embodiment, trip mode includes aircraft, high-speed rail, train, steamer, hires a car and the intercity traffic such as bus
Mode, user to trip mode can select obtaining the scheme that the mode according to desired by user is traveled.
In the step S1 of the present embodiment, data obtaining module 1 obtains the disclosed friendship in city by web crawlers technology automatically
Communication breath (such as the traffic information taken in the trips applications such as journey, Chinese railway is crawled) and geographical location information (example
Such as GPS map software is crawled), thus by being screened to the data in traffic information and geographical location information
It obtains user and the website of target location is reached as arrival website by corresponding trip mode.
Step S2, data obtaining module 1 obtain each sight spot of the corresponding target location as target according to target location
Sight spot, and the sight spot information of each target scenic spot is obtained, scenic spot location information of the sight spot information comprising target scenic spot, sight spot are pre-
Count play time and assessment of scenic spot numerical value.
In the step S2 of the present embodiment, destination range (the i.e. model geographically of target location of each target location
Enclose information) and the sight spot information at each sight spot be respectively disclosed area that data obtaining module 1 is obtained by crawler technology
Data (such as being crawled by map softwares such as GPS) and scene data (such as by keywords such as sight names from net
The scene data obtained on network), further scenic spot location information is screened according to the destination range of target location, thus
Obtain the target scenic spot in target location.
In the present embodiment, target location is a city.In other embodiments, target location can also be a province
Part, whole piece area or a country, destination range are the regional scope of the corresponding province, area or country.
In the present embodiment, the sight spot estimated time of playing is divided into three grades, and the time of playing of each grade is respectively to play 7
Hour plays 4 hours and plays 2 hours.In other embodiments, time of playing can also be set according to scale of scenic area
(such as occupied area according to sight spot, more big, the time of playing is longer), each grade for time of playing can also be set separately
For in the arbitrary value played 5~8 hours, play 3~5 hours and played in 1~3 hour.
In the present embodiment, assessment of scenic spot numerical value be it is preset, and value range corresponding with user preference is 1~5
Integer numerical value, including scene value, culture value, romantic value, family's value and exploration value.
Information storage module 2 is used to store the information of the acquisition of data obtaining module 1.In the present embodiment, data obtaining module 1
By the method for step S1 and step S2 obtain user's tourism data, traffic information, geographical location information, reach website,
Destination range and sight spot information can be all stored in information storage module 2.
Sight spot screening module 3 is used to screen the sight spot of user preference as plan tourist attractions, operational process such as step
Described in S3.
Step S3, tourist-day, user preference and the information storage module 2 that sight spot screening module 3 is inputted according to user
The sight spot information of middle storage screens sight spot from each target scenic spot and as plan tourist attractions, as shown in figure 3, specific steps
See step S3-1 to step S3-3.
Step S3-1, sight spot screening module 3 select corresponding assessment of scenic spot numerical value according to each user preference, and according to pre-
If weight ratio the assessment of scenic spot numerical value of each target scenic spot will be multiplied to obtain overall merit numerical value, further by each mesh
Mark sight spot is ranked up to obtain preference sight spot sequence according to overall merit numerical value from high to low.
In the present embodiment, weight ratio be preset, for example, when user preference be 1 when, weight ratio be 1, when with
When family preference is 2, weight ratio is 0.6:0.4, and when user preference is 3, weight ratio is 0.4:0.4:0.2, successively
Analogize.Simultaneously as the weight ratio is not average setting, therefore for balance scheme, the weight used in the present embodiment
Ratio be it is multiple, corresponding specific setting method is described in detail later.
In the step S3-1 of the present embodiment, sight spot screening module 3 according to weight ratio calculation overall merit numerical value, and according to
Preset weight ratio is multiplied the assessment of scenic spot numerical value of each target scenic spot to obtain overall merit numerical value, further by each mesh
Mark sight spot is ranked up to obtain preference sight spot sequence according to overall merit numerical value from high to low.
Step S3-2, sight spot screening module 3 calculated to play according to tourist-day and preset time of playing daily
Time.
In the present embodiment, the time of playing daily sets according to user information and tourist party's information, specifically: sight spot sieve
Modeling block 3 determines the age in user information and the age in tourist party's information, if there are the elderlys in the two
When the groups such as (i.e. age be greater than 60) or children (i.e. the age is less than 15), the time of playing daily is just set to play 8 daily
Hour;Time of then playing daily if it does not exist is set to 9 hours.
In the step S3-2 of the present embodiment, for tourist-day that the time of playing is user's input multiplied by playing the time daily
It obtains.
Step S3-3 successively chooses target scenic spot and according to the estimated trip in the sight spot of the target scenic spot from the sequence of preference sight spot
The target scenic spot that playing time calculating can accommodate within for the time of playing is used as plan tourist attractions.
In the step S3-3 of the present embodiment, sight spot screening module 3 can initialize a totality and play the time that (totality is played
The initial value of time is zero), then to repeat to operate as follows: expecting the sight spot of target scenic spot to play the time when being selected first
Add up to overall to play the time, next judges whether totality time of playing was greater than for the time of playing, should if being not more than
Target scenic spot is set as planning tourist attractions, if more than then end step S3-3 and enters step S4.
In the present embodiment, after step S3, sight spot screening module 3 screens obtained plan tourist attractions also can be temporary
It deposits into information storage module 2.
It includes the stroke for planning tourist attractions to sort by recommendation tourism sequence that stroke planning computing module 4, which is used to calculate,
Program results, the trip plan the operational process of computing module 4 as described in step S4.
Step S4, stroke planning computing module 4 is according to sight spot information, the plan tourism scape stored in information storage module 2
Point and arrival website generation include by the stroke planning result for planning tourist attractions for recommending tourism sequence sequence.
Fig. 4 is the flow chart that stroke planning result calculates step in the embodiment of the present invention.
As shown in figure 4, the carrying out practically process (i.e. step S4) of stroke planning computing module 4 includes step S4-1 to step
S4-10。
Step S4-1 sets the travelling schedule of corresponding number of days according to tourist-day.
In the present embodiment, travelling schedule is that daily plan is played the schedule that sight spot sorts according to sequence of recommending to play.?
In step S4-1, blank schedule of the travelling schedule that stroke planning computing module 4 is set to be not added with plan tourist attractions.
Step S4-2 obtains corresponding first day travelling schedule and is used as same day travelling schedule.
Step S4-3, according to planned tourist attractions scenic spot location information and reach website positional information calculation with
The distance between arrival website value, and obtain the smallest plan tourist attractions of distance value and be used as and work as foreground point.
Step S4-4 initializes the cumulative time on the same day, and will add up when the estimated travel time in the sight spot of foreground point to the same day
Cumulative time will further deserve foreground point and be added to current travelling schedule.In the present embodiment, the initial value of cumulative time on the same day
It is zero.
Step S4-5 chooses from the plan tourist attractions for being not set to work as foreground point always and works as foreground point distance most
Close plan tourist attractions, which are used as, works as foreground point.
In the step S4-3 and S4-5 of the present embodiment, the judgement of distance is by disclosed location information (such as GPS number
According to) be calculated.
Step S4-6 will play time cumulation to the cumulative time on the same day when the sight spot of foreground point is estimated.
Step S4-7, judge the cumulative time on the same day whether be more than it is preset play the time daily, if foreground point otherwise will be worked as
It is added to current travelling schedule and repeats step S4-5 to S4-6, if then entering step S4-8.
In the present embodiment, by step S4-3 to S4-7, it is intended to tourist attractions and is successively added to current tourism in order
Schedule is played the travelling schedule of route to form one with nearest sight spot.
Step S4-8 stores current travelling schedule according to the corresponding number of days of current travelling schedule.
In the step S4-8 of the present embodiment, stroke planning computing module 4 stores tourism day according to corresponding number of days in order
Journey, for example, by First Input First Output by first day travelling schedule, second day travelling schedule, third day travelling schedule
Deng successively storing.
Step S4-9, judge current travelling schedule whether be travelling schedule last day, if otherwise by trip in next day
Trip schedule as current travelling schedule and repeats step S4-4 to S4-8, if then entering step S4-10.
Step S4-10 successively merges the travelling schedule of storage to form stroke planning result according to number of days.
In the present embodiment, after step S4, stroke planning computing module 4 is also according to last in stroke planning result
A plan tourist attractions selected distance is recently and a website corresponding with trip mode is as return website.At this point, stroke is advised
Check off fruit reaches website and return website one complete travel plan of formation.
In the present embodiment, the tour schedule planning system 100 based on the foundation of above-mentioned tour schedule planing method, additionally it is possible to
User selects to generate multiple travel plans by the way that tour schedule planing method is run multiple times when multiple user preferences.
Specifically, by setting different weight ratio in step s3, to obtain corresponding different overall merit
Numerical value further generates multiple travel plans with different weightings respectively according to each overall merit numerical value.For example, working as user
When preference is 2, weight ratio is 0.6:0.4 and 0.4:0.6;When user preference is 3, weight ratio is 0.4:0.4:
0.2,0.4:0.2:0.4 and 0.2:0.4:0.4.Simultaneously as in user preference, romance value, family's value and exploration value
Corresponding preference profile will not generally generate simultaneously, therefore not may be useful for family preference and occur in 4 or more situations.
By taking user has selected the user preference of scene and culture as an example: firstly, use of the data obtaining module 1 according to input
Family tourism data executes step S1 and step S2, and then, sight spot screening module 3 judges that the quantity of user preference obtains accordingly
Weight ratio, further obtains the honourable value and cultural value of each target scenic spot, and 0.6 times of scene is worth and 0.4 times
Cultural value addition obtains the first overall merit numerical value, similarly obtains the second overall merit numerical value of corresponding 0.4:0.6 ratio, most
Afterwards, respectively the first overall merit numerical value and the second overall merit numerical value are handled to obtain by step S3 and step S4
Two travel plans.Tour schedule planning system 100 is after obtaining travel plan by inputting display module 5 for two trip sides
Case is shown to user to complete tour schedule suggestion.
In the present embodiment, input display module 5 includes the display and input keyboard of computer.
In addition, tour schedule planning system 100 can also judge according to user's tourism data when user preference is 1
The possible preference of user (for example, only selected honourable preference in user, age of user is in middle age or old stage at this time, then
Judge that the user can may also like the sight spot of some literate preferences), so that the preference be synthesized with original user preference
New user preference, and further calculate and generate multiple travel plans.
Embodiment action and effect
According to tour schedule planing method provided in this embodiment, since the target location selected according to user determines the ground
Target scenic spot is screened as target scenic spot, and according to user preference in sight spot in point, thus in the travel time of user
The plan tourist attractions for meeting user preference are inside maximumlly filtered out, stroke planning further is carried out to plan tourist attractions,
To obtain not only including the stroke planning for meeting each sight spot of user preference, but also including the sight spot tourism route of optimization
Tour plan maximumlly is arranged for user in limited tourist-day as a result, realizing.Tour schedule planning side of the invention
The tourism data that method can be inputted according to user provides the stroke planning for meeting user preference as a result, not needing user in thing
It is preceding largely to be prepared, it is only necessary to which that inputting preferences and the relevant data of tourism can obtain tourism planning suggestion.
In embodiment, due to passing through setting travelling schedule, and tourism successively is added to regard to near-earth select planning tourist attractions
Schedule, forms the stroke planning containing corresponding daily travelling schedule as a result, realizing the arrangement to the stroke of user every day,
To which user can directly be traveled according to stroke planning result, do not need voluntarily to the sight spot number traveled daily
Amount, route are arranged.
In embodiment, since assessment of scenic spot numerical value is set to honourable value, cultural value, family's value, romantic value and exploration
Value, realizes and is assessed by preference of the social psychology to user, thus the sight spot of each preference of the correspondence filtered out, energy
Enough demands for preferably allowing the sight spot of recommendation to meet user.
In embodiment, additionally it is possible to whether there are the groups such as the elderly and children according in the age of user, tourist party
Dynamically setting is played the time daily, so that stroke planning result can more look after the deficient in energy problem of corresponding group.
If there is no the elderly and children it may be considered that user has more energy to carry out playing for longer time, therefore trip in team
The object for appreciation time is set longer to allow user to have a good time.
In embodiment, different weight ratio can also be distributed according to multiple preferences of user, thus through the invention
Tour schedule planing method formulates multiple travel plans, and further allowing user to select in multiple schemes, more to meet heart desired
Tourism route promotes the validity of suggestion.
In embodiment, can also when user only selects a preference, by analyzing user's tourism data, thus
It generates and preference is recommended to provide suggestion for user, further generate multiple travel plans and user is allowed to select, thus possible in user
In the case where not knowing about itself preference, the desired tourism route of user may be met by providing for user, promote the validity of suggestion.
Above-described embodiment is only used for the specific embodiment illustrated the present invention, and the present invention is not limited to the above embodiments
Description range.
For example, when user preference is one, weight ratio is 1 and directly will be corresponding in the step S3-1 of embodiment
Assessment of scenic spot numerical value is as overall merit numerical value (that is, obtaining overall merit numerical value multiplied by 1 for assessment of scenic spot numerical value).In the present invention
Other embodiments in, can also be directly by the way that corresponding assessment of scenic spot numerical value be ranked up when user preference is only one
To obtain preference sight spot sequence.
In addition, in above-described embodiment, if playing daily the time in travelling team there are when the groups such as the elderly or children
It is just set to play daily 8 hours;Time of then playing daily if it does not exist is set to 9 hours.In other realities of the invention
It applies in example, there are the arbitrary values that when groups such as the elderly or children, the time of playing daily can be set in 7~8 hours;
There is no the arbitrary values that when groups such as the elderly or children, the time of playing daily can be set in 8~10 hours.
In addition, in above-described embodiment, if playing daily the time in travelling team there are when the groups such as the elderly or children
It is just set to play daily 8 hours;Time of then playing daily if it does not exist is set to 9 hours.In other realities of the invention
It applies in example, the time of playing daily can also be fixed value of the value range in 7~10 hours, such as play daily 9 small
When be a relatively reasonable time.
Claims (9)
1. a kind of tour schedule planing method includes at least starting city, target location, trip side for what is inputted according to user
User's tourism data of formula, user preference and tourist-day is planned automatically can satisfy the desired tour schedule of user, special
Sign is, includes the following steps:
Step S1 obtains the user described according to the trip mode, the starting city and the target location
Trip mode reaches the arrival website of the target location;
Step S2 obtains each sight spot for corresponding to the target location according to the target location as target scenic spot, and obtains each
The sight spot information of a target scenic spot, the sight spot information include the scenic spot location information of the target scenic spot, the estimated trip in sight spot
Play time and assessment of scenic spot numerical value;
Step S3, according to the tourist-day, the user preference and the sight spot information from each target scenic spot
The sight spot of the possible preference of user is filtered out as plan tourist attractions;
Step S4 includes by recommendation according to the generation of the sight spot information, the plan tourist attractions and the arrival website
The stroke planning result of the plan tourist attractions of tourism sequence sequence is simultaneously exported.
2. tour schedule planing method according to claim 1, it is characterised in that:
Wherein, the step S4 includes following sub-step:
Step S4-1 sets the travelling schedule of corresponding number of days according to the tourist-day;
Step S4-2 obtains the corresponding first day travelling schedule and is used as same day travelling schedule;
Step S4-3 chooses to be used as with the nearest plan tourist attractions of the destination point selected distance and works as prospect
Point;
Step S4-4, by the estimated time cumulation of playing in the sight spot when foreground point to the cumulative time on the same day;
Step S4-5 works as prospect with described from being not set to choose in the plan tourist attractions for working as foreground point always
Point is used as apart from nearest plan tourist attractions works as foreground point;
Step S4-6 initializes the cumulative time on the same day, and by the sight spot when foreground point it is expected that time cumulation of playing is to described
Cumulative time on the same day will further deserve foreground point and be added to the current travelling schedule;
Step S4-7, judge the cumulative time on the same day whether be more than it is preset play the time daily, if otherwise will be described current
Sight spot is added to current travelling schedule and repeats step S4-5 to S4-6, if then entering step S4-8;
Step S4-8, according to the current corresponding number of days storage of the travelling schedule current travelling schedule;
Step S4-9, judge the current travelling schedule whether be the travelling schedule last day, if otherwise by next day
The travelling schedule as current travelling schedule and repeat step S4-4 to S4-8, if then entering step S4-10;
Step S4-10 successively merges the travelling schedule of storage to form the stroke planning result according to the number of days.
3. tour schedule planing method according to claim 1, it is characterised in that:
Wherein, the assessment of scenic spot numerical value be preset, and value range corresponding with the user preference be 1~5 it is whole
Number numerical value, including scene value, culture value, romantic value, family's value and exploration value.
4. tour schedule planing method according to claim 3, it is characterised in that:
Wherein, the user preference is one,
The step S3 further includes following sub-step:
Step S3-1a selects the corresponding assessment of scenic spot numerical value according to the user preference, and by each target scenic spot
It is ranked up to obtain preference sight spot sequence from high to low according to the assessment of scenic spot numerical value;
Step S3-2a is calculated according to the tourist-day and preset time of playing daily for the time of playing;
Step S3-3a successively chooses the target scenic spot and according to the sight spot of the target scenic spot from the sequence of the preference sight spot
It is expected that the time of playing calculates described for the target scenic spot that can accommodate in the time of playing as plan tourist attractions.
5. tour schedule planing method according to claim 3, it is characterised in that:
Wherein, the user preference is multiple,
The step S3 further includes following sub-step:
Step S3-1b selects the corresponding assessment of scenic spot numerical value according to each user preference, and according to preset weight
Ratio will be multiplied the assessment of scenic spot numerical value of each target scenic spot to obtain overall merit numerical value, further by each mesh
Mark sight spot is ranked up to obtain preference sight spot sequence according to the overall merit numerical value from high to low;
Step S3-2b is calculated according to the tourist-day and preset time of playing daily for the time of playing;
Step S3-3b successively chooses the target scenic spot and according to the sight spot of the target scenic spot from the sequence of the preference sight spot
It is expected that the time of playing calculates described for the target scenic spot that can accommodate in the time of playing as plan tourist attractions.
6. the tour schedule planing method according to any one of claim 2,4 or 5, it is characterised in that:
Wherein, the value of the time of playing daily is 7~10 hours.
7. the tour schedule planing method according to any one of claim 2,4 or 5, it is characterised in that:
Wherein, user's tourism data also includes age of user and tourist party's information,
The tourist party's information is whether to have the judgement information of the elderly, children in tourist party,
The time of playing daily floats according to the tourist party's information and the age of user to be set, when the tourist group
Team's information and the age of user indicate the tourist party, and there are time settings of then playing daily when the elderly or children
For the first duration, when the tourist party's information and the age of user indicate the tourist party there is no the elderly or
Time of then playing daily when children is set as the second duration,
The value of first duration is 7~8 hours, and the value of second duration is 8~10 hours.
8. a kind of application of the tour schedule planing method described in claim 5 during user's stroke is suggested, feature exist
In when the user preference in user's tourism data is multiple, according to different weight ratio by the correspondence user preference
Assessment of scenic spot numerical value is multiplied to obtain different overall merit numerical value, and generates multiple strokes by the tour schedule planing method
Multiple stroke planning results are finally fed back to the user to provide a user stroke suggestion by program results.
9. a kind of application of the tour schedule planing method described in claim 5 during user's stroke is suggested, feature exist
In, when the user preference in user's tourism data is one, the possible preference of user is judged according to user's tourism data, thus
The preference and the user preference are formed into new supposition preference, it further will the corresponding supposition according to different weight ratio
The assessment of scenic spot numerical value of preference is multiplied to obtain different overall merit numerical value, and more by tour schedule planing method generation
A stroke planning result feeds back to the user to provide a user stroke suggestion.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910463814.1A CN110175720A (en) | 2019-05-30 | 2019-05-30 | Tour schedule planing method and application |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910463814.1A CN110175720A (en) | 2019-05-30 | 2019-05-30 | Tour schedule planing method and application |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110175720A true CN110175720A (en) | 2019-08-27 |
Family
ID=67696691
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910463814.1A Pending CN110175720A (en) | 2019-05-30 | 2019-05-30 | Tour schedule planing method and application |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110175720A (en) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110765361A (en) * | 2019-12-30 | 2020-02-07 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device based on user information and storage medium |
CN111966893A (en) * | 2020-07-28 | 2020-11-20 | 湖南省大美盈科研学旅游文化有限公司 | Text travel strategy query method and equipment |
CN112000900A (en) * | 2020-08-14 | 2020-11-27 | 北京三快在线科技有限公司 | Method and device for recommending scenic spot information, electronic equipment and storage medium |
CN112231595A (en) * | 2020-10-13 | 2021-01-15 | 王琰 | Big data-based intelligent tourism target matching system and method |
CN112380431A (en) * | 2020-11-11 | 2021-02-19 | 喻丹 | Big data-based intelligent tourism analysis decision system and method |
CN112686778A (en) * | 2020-12-24 | 2021-04-20 | 河南牧业经济学院 | Big data-based travel route planning method, device and equipment |
CN112733040A (en) * | 2021-01-27 | 2021-04-30 | 中国科学院地理科学与资源研究所 | Travel itinerary recommendation method |
CN112989214A (en) * | 2021-05-20 | 2021-06-18 | 湖北游游智游网络科技有限公司 | Tourism information display method and related equipment |
CN113657643A (en) * | 2021-07-08 | 2021-11-16 | 海南天然橡胶产业集团股份有限公司 | Planning system for sea island tourism line |
CN117131109A (en) * | 2023-10-26 | 2023-11-28 | 环球数科集团有限公司 | Fuzzy trip planning system based on AIGC |
CN117131268A (en) * | 2023-08-28 | 2023-11-28 | 浪潮智慧科技有限公司 | Itinerary recommendation method, equipment and medium based on street view map |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080201227A1 (en) * | 2006-11-07 | 2008-08-21 | Lucia Urban Bakewell | Interactive, Internet-based, trip planning, travel resource, travel community, virtual travel, travel-based education, travel-related gaming and virtual/live tour system, methods, and processes, emphasizing a user's ability to tailor complete travel, trip, route, game and touring choices to unique user-specified personal interests, preferences, and special requirements for self and companions |
US20170083832A1 (en) * | 2015-09-17 | 2017-03-23 | Matthew David WILLIAMS | Systems and methods for planning and tracking travel |
CN106599092A (en) * | 2016-11-24 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for recommending tourist attractions |
CN106886837A (en) * | 2017-02-21 | 2017-06-23 | 携程旅游网络技术(上海)有限公司 | Free walker stroke based on time planning recommends method |
CN107423837A (en) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | The Intelligent planning method and system of tourism route |
CN107883976A (en) * | 2017-11-03 | 2018-04-06 | 吉林化工学院 | City tour's route planning method and device based on cloud computing |
CN108416461A (en) * | 2017-08-18 | 2018-08-17 | 北京穷游天下科技发展有限公司 | The intelligent creation method and equipment of tour schedule |
CN108710669A (en) * | 2018-05-16 | 2018-10-26 | 清远博云软件有限公司 | A kind of tourist attractions travelling route formulating method |
CN109636679A (en) * | 2018-12-19 | 2019-04-16 | 航天物联网技术有限公司 | A kind of interactive tour schedule planing method based on artificial intelligence |
-
2019
- 2019-05-30 CN CN201910463814.1A patent/CN110175720A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080201227A1 (en) * | 2006-11-07 | 2008-08-21 | Lucia Urban Bakewell | Interactive, Internet-based, trip planning, travel resource, travel community, virtual travel, travel-based education, travel-related gaming and virtual/live tour system, methods, and processes, emphasizing a user's ability to tailor complete travel, trip, route, game and touring choices to unique user-specified personal interests, preferences, and special requirements for self and companions |
US20170083832A1 (en) * | 2015-09-17 | 2017-03-23 | Matthew David WILLIAMS | Systems and methods for planning and tracking travel |
CN106599092A (en) * | 2016-11-24 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for recommending tourist attractions |
CN106886837A (en) * | 2017-02-21 | 2017-06-23 | 携程旅游网络技术(上海)有限公司 | Free walker stroke based on time planning recommends method |
CN107423837A (en) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | The Intelligent planning method and system of tourism route |
CN108416461A (en) * | 2017-08-18 | 2018-08-17 | 北京穷游天下科技发展有限公司 | The intelligent creation method and equipment of tour schedule |
CN107883976A (en) * | 2017-11-03 | 2018-04-06 | 吉林化工学院 | City tour's route planning method and device based on cloud computing |
CN108710669A (en) * | 2018-05-16 | 2018-10-26 | 清远博云软件有限公司 | A kind of tourist attractions travelling route formulating method |
CN109636679A (en) * | 2018-12-19 | 2019-04-16 | 航天物联网技术有限公司 | A kind of interactive tour schedule planing method based on artificial intelligence |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110765361A (en) * | 2019-12-30 | 2020-02-07 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device based on user information and storage medium |
CN111966893A (en) * | 2020-07-28 | 2020-11-20 | 湖南省大美盈科研学旅游文化有限公司 | Text travel strategy query method and equipment |
CN112000900A (en) * | 2020-08-14 | 2020-11-27 | 北京三快在线科技有限公司 | Method and device for recommending scenic spot information, electronic equipment and storage medium |
CN112231595B (en) * | 2020-10-13 | 2021-10-26 | 四川旅投数字信息产业发展有限责任公司 | Big data-based intelligent tourism target matching system and method |
CN112231595A (en) * | 2020-10-13 | 2021-01-15 | 王琰 | Big data-based intelligent tourism target matching system and method |
CN112380431A (en) * | 2020-11-11 | 2021-02-19 | 喻丹 | Big data-based intelligent tourism analysis decision system and method |
CN112686778A (en) * | 2020-12-24 | 2021-04-20 | 河南牧业经济学院 | Big data-based travel route planning method, device and equipment |
CN112733040A (en) * | 2021-01-27 | 2021-04-30 | 中国科学院地理科学与资源研究所 | Travel itinerary recommendation method |
CN112733040B (en) * | 2021-01-27 | 2021-07-30 | 中国科学院地理科学与资源研究所 | Travel itinerary recommendation method |
CN112989214A (en) * | 2021-05-20 | 2021-06-18 | 湖北游游智游网络科技有限公司 | Tourism information display method and related equipment |
CN113657643A (en) * | 2021-07-08 | 2021-11-16 | 海南天然橡胶产业集团股份有限公司 | Planning system for sea island tourism line |
CN117131268A (en) * | 2023-08-28 | 2023-11-28 | 浪潮智慧科技有限公司 | Itinerary recommendation method, equipment and medium based on street view map |
CN117131268B (en) * | 2023-08-28 | 2024-03-26 | 浪潮智慧科技有限公司 | Itinerary recommendation method, equipment and medium based on street view map |
CN117131109A (en) * | 2023-10-26 | 2023-11-28 | 环球数科集团有限公司 | Fuzzy trip planning system based on AIGC |
CN117131109B (en) * | 2023-10-26 | 2023-12-22 | 环球数科集团有限公司 | Fuzzy trip planning system based on AIGC |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110175720A (en) | Tour schedule planing method and application | |
CN110175722A (en) | Tour schedule planning system | |
El-Tantawy et al. | Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown Toronto | |
CN105303487A (en) | Method and device of travel service | |
CN108805348A (en) | A kind of method and apparatus of intersection signal timing control optimization | |
CN105043379B (en) | A kind of scenic spot browse path planing method based on space-time restriction, device | |
CA2293536A1 (en) | Method and device for generating, merging and updating of destination tracking data | |
CN107423837A (en) | The Intelligent planning method and system of tourism route | |
CN103017780B (en) | The planing method of public bus network, system and device under mobile status | |
CN109872535A (en) | A kind of current prediction technique of wisdom traffic, device and server | |
CN105389751A (en) | Travel service method and device | |
CN106197449A (en) | A kind of map path method and system for planning based on network path selection algorithm | |
CN107198883A (en) | Method for searching and device for game object in virtual game | |
CN107832894A (en) | A kind of intelligent tour schedule planing method based on ant group algorithm | |
CN111859194B (en) | Intelligent travel service platform and automatic travel path planning method based on same | |
Santiago et al. | GeOasis: A knowledge-based geo-referenced tourist assistant | |
CN108985506A (en) | Planning driving path recommended method, prediction technique, acquisition methods and its device | |
CN105303486A (en) | Intelligent tour recommendation system and method based on lowest cost | |
Nasim et al. | Distributed architectures for intelligent transport systems: A survey | |
CN106886592A (en) | A kind of city space-time data collecting system and method based on data source service | |
CN112562309B (en) | Network taxi appointment scheduling method based on improved Dijkstra algorithm | |
CN105631781A (en) | Automated tour guiding method | |
CN114580682A (en) | Intelligent planning method and system for tour route | |
CN201867868U (en) | Tourism information interaction system based on internet and mobile phone | |
CN106203708A (en) | A kind of fast method solving urban track traffic last bus connection problem |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190827 |