CN109413129A - City tour tourist's intelligence separate system and shunt method - Google Patents
City tour tourist's intelligence separate system and shunt method Download PDFInfo
- Publication number
- CN109413129A CN109413129A CN201710714321.1A CN201710714321A CN109413129A CN 109413129 A CN109413129 A CN 109413129A CN 201710714321 A CN201710714321 A CN 201710714321A CN 109413129 A CN109413129 A CN 109413129A
- Authority
- CN
- China
- Prior art keywords
- scenic spot
- tourist
- information
- target
- scenic
- 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 35
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 230000000694 effects Effects 0.000 claims description 28
- 239000000284 extract Substances 0.000 claims description 10
- 229920006395 saturated elastomer Polymers 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 2
- 230000009182 swimming Effects 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
-
- 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]
- G06Q30/0609—Buyer or seller confidence or verification
-
- 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]
- G06Q30/0631—Item recommendations
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Marketing (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of city tour tourist's intelligence separate systems, it is characterised in that: the system includes data platform (2), scenic area server (3), municipal traffic department (4), user terminal (1).A kind of shunt method of city tour tourist's intelligence separate system, it is characterised in that: when tourist issues target scenic spot ticket purchasing request, the analysis such as step 1 of the data center (2), step 2, step 3, step 4.The invention has the benefit that the present invention can carry out dynamic monitoring to the visitor density each scenic spot, shunting evacuation simultaneously effective is carried out between the tourist each scenic spot, and traffic relief request can be issued to municipal traffic when scenic spot flow of the people is big.
Description
Technical field
The invention belongs to wisdom scenic spot technical fields, specifically, being related to a kind of city tour tourist's intelligence separate system
And shunt method.
Background technique
With the improvement of living standards, people are further ardent to the pursuit of spiritual demand and quality of the life, tourism, which becomes, stops
Important way that is not busy, loosening, under specific time, part scenic spot tourist's number blowout increases, other scenic spots are meagrely-populated, very
To nobody shows any interest in;In this case the human and material resources burden at the scenic spot has not only been aggravated, it is also possible to lead to scenic spot traffic, network
The paralysis of equal facilities, the stream of people of congestion may then threaten the safety of going on a tour of tourist;However meagrely-populated scenic spot can then make
At the waste of resource.
Therefore, the visitor density each scenic spot can be monitored by designing one kind, simultaneously effective to each in city
Tourist between scenic spot carries out shunting evacuation.
Summary of the invention
In view of the above-mentioned problems, the present invention provides one kind by cancel scenic spot it is preferential activity, be tourist recommend other scenic spots,
Reinforce the modes such as scape zone-to-zone travel allotment, effectively realizes the system of tourist's shunting and the shunt method of the system.
To achieve the above object, the present invention provides the following technical scheme that
A kind of city tour tourist's intelligence separate system, key are: the system includes:
Data platform: for obtaining the information of tourist and each scenic spot, and it is stored in tourist information database and scenic spot respectively
In information database, while being connect with municipal traffic department;
Scenic area server: for sending the various information at the scenic spot to data platform;
Municipal traffic department: for deploying the traffic resource at each scenic spot from data platform dynamic acquisition tourist flow information;
User terminal: scenic spot information is obtained from data platform, and passes through data platform to scenic spot network booking.
By adopting the above technical scheme, data platform is stored as the data of whole system, is the core of whole system, to trip
The information collection of visitor, the details at each scenic spot all carry out dynamic memory by data center and update.
Recording in the tourist information database has:
Tourist's hobby: according to the scenic spot type gone sight-seeing before tourist, the visit hobby of the tourist, preservation and not timing are determined
It updates;
Consuming capacity: according to the average consumption amount of money, the consumption type etc. before tourist when visit scenic spot, determine the tourist's
Consuming capacity, saves and not timing updates;
Current location: the tourist geographical location of the newest acquisition of storing data platform;
Tourist's communication modes: contact method obtained when tourist's network booking, information notice and scape when for booking
The information notice of special circumstances occurs for area.
Recording in the scenic spot information database has:
Scenic spot geographical location: the better address where scenic spot;
Scenic spot type: detailed scenic spot type attribute;
Scenic spot capacity: maximum open ended tourist's number in scenic spot;
Scenic spot activity: the large-scale activity information undertaken recently in scenic spot;
Duration is averagely gone sight-seeing at scenic spot: under normal circumstances, all tourists in the scenic spot are averaged visiting time;
Scenic spot pre-capita consumption: the average consumption amount of money of scenic spot visit tourist was arrived in the past.
It further describes, when tourist issues target scenic spot ticket purchasing request, the analytical procedure of the data center is as follows:
Step 1: the data center obtains the Ticketing information of tourist by the user terminal;
Step 2: the data center obtains target scenic spot information by the scenic area server;
Step 3: the data center transfers the scenic spot action message, and it is movable when whether target scenic spot is limited to judge, when
When target scenic spot is limited when activity, activity booking process of prescribing a time limit is executed;
Step 4: when target scenic spot is without activity in limited time, the data center transfers the scenic spot capacity information, judges mesh
Whether the number at mark scenic spot is saturated, and when number is not saturated when scenic spot, executes preferential booking process, number tends to be saturated when scenic spot
When, execute shunting measure.
Using the above scheme, when data center receives the ticket purchasing request of tourist, a series of analysis is done to scenic spot first,
When scenic spot does not show large-scale activity, and the visitor density at the scenic spot tends to saturation, shunting measure is taken.
It further describes, specific step is as follows for the shunting measure:
Step 1: cancel the preferential booking activity of network at target scenic spot;
Step 2: congestion prompt in target scenic spot is issued to tourist, the municipal traffic department is sent and reinforces scenic spot friendship
The information of logical relief;
Step 3: providing and shunt what mode of tourism was selected to tourist, including trip of avoiding the peak hour, equivalence swim, adhere to that target is swum.
Using the above scheme, shunting measure, booking is preferential, traffic relief letter in scenic spot is sent to municipal traffic department except cancelling
Breath is outer, and the selection for shunting tourism can be also provided to tourist, can demand by tourist to tourism, independently one kind is selected to be suitble to oneself
Shunting mode.
It further describes, steps are as follows for the specific execution for trip of avoiding the peak hour between the scenic spot:
Step 1: it is avoided the peak hour when swimming between tourist selects scenic spot, the data center extracts the tourist current location, target
Scenic spot geographical location;
Step 2: the scenic spot information between the tourist and target scenic spot is set out, wherein to there is movable scenic spot to do
Activity mark out;
Step 3: tourist is waited to confirm the selection at scenic spot;
Step 4: the booking process at the selected scenic spot of tourist is executed.
Using the above scheme, tourist selects to avoid the peak hour trip between scenic spot, and data center will be according to tourist current location and scenic spot
The scenic spot near element is searched in position, selects for client, and can have preferential movable scenic spot to make a mark on the same day, prompts tourist.
Further describe, in the scenic spot time avoid the peak hour trip it is specific execution steps are as follows:
Step 1: when tourist selects in scenic spot the time to avoid the peak hour to swim, the data center extract the flow of the people when foreground zone,
And the visiting time at the scenic spot;
Step 2: the data center predicts the period that flow of the people may be fewer, and it is supplied to tourist's selection;
Step 3: tourist selects visiting time;
Step 4: executing normal scenic spot booking process.
Using the above scheme, tourist selects the time in scenic spot to avoid the peak hour trip, and data center just extracts current scenic spot flow of the people,
Predict that flow of the people few period to tourist, then gives the normal booking process of tourist, cancels preferential booking activity.
It further describes, steps are as follows for the specific execution for adhering to target trip:
Step 1: tourist's selection adheres to that target scenic spot is gone sight-seeing;
Step 2: the normal booking process at performance objective scenic spot.
Using the above scheme, tourist still wants selection target scenic spot to go sight-seeing, then gives the price of tourist's unanimous vote, eliminate it
Preceding preferential booking activity.
It further describes, steps are as follows for the specific execution of the equivalent trip:
Step 1: tourist selects equivalent trip;
Step 2: the data center extracts tourist's hobby, consuming capacity and target scenic spot type information;
Step 3: being set out and meet client's hobby, consuming capacity and other scenic spot information with target scenic spot same type,
In, to there is movable scenic spot to make activity mark;
Step 4: tourist is waited to confirm the selection at scenic spot;
Step 5: the booking process at the selected scenic spot of tourist is executed.
Using the above scheme, tourist's selection meets the equivalent trip of oneself economic consumption ability, and data center will be tourist
Recommend the scenic spot that target scenic spot is neighbouring, meets tourist's hobby and consuming capacity, and there is the same day in these scenic spots that can give a energetical recommendation
Preferential movable scenic spot.
It has the beneficial effect that compared with prior art, the present invention can carry out dynamic monitoring to the visitor density each scenic spot, together
When shunting evacuation effectively carried out between the tourist each scenic spot, and municipal traffic can be issued when scenic spot flow of the people is big and be handed over
Logical relief request.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention;
Fig. 2 is tourist information data-base content schematic diagram;
Fig. 3 is scenic spot information database content schematic diagram;
Fig. 4 is work flow diagram of the invention.
Specific embodiment
The present invention is further illustrated with reference to the accompanying drawings and embodiments.
As shown in Figure 1, a kind of city tour tourist's intelligence separate system, key are: the system includes:
Data platform 2: for obtaining the information of tourist and each scenic spot, and it is stored in tourist information database and scenic spot respectively
In information database, while being connect with municipal traffic department 4;
Scenic area server 3: for sending the various information at the scenic spot to data platform 2;
Municipal traffic department 4: for deploying the traffic money at each scenic spot from 2 dynamic acquisition tourist flow information of data platform
Source;
User terminal 1: scenic spot information is obtained from data platform 2, and passes through data platform 2 to scenic spot network booking.
As shown in Fig. 2, recording in the tourist information database has:
Tourist likes 1a: according to the scenic spot type gone sight-seeing before tourist, determining the visit hobby of the tourist, saves and indefinite
Shi Gengxin;
Consuming capacity 1b: according to the average consumption amount of money, the consumption type etc. before tourist when visit scenic spot, the tourist is determined
Consuming capacity, save and not timing update;
Current location 1c: the tourist geographical location of the newest acquisition of storing data platform 2;
Tourist's communication modes 1d: contact method obtained when tourist's network booking, when for booking information notice and
The information notice of special circumstances occurs for scenic spot.
As shown in figure 3, recording in the scenic spot information database has:
Scenic spot geographical location 3a: the better address where scenic spot;
Scenic spot type 3b: detailed scenic spot type attribute;
Scenic spot capacity 3c: maximum open ended tourist's number in scenic spot;
Scenic spot activity 3d: the large-scale activity information undertaken recently in scenic spot;
Duration 3e is averagely gone sight-seeing at scenic spot: under normal circumstances, all tourists in the scenic spot are averaged visiting time;
Scenic spot pre-capita consumption 3f: the average consumption amount of money of scenic spot visit tourist was arrived in the past.
As shown in figure 4, the analytical procedure of the data center 2 is as follows when tourist issues target scenic spot ticket purchasing request:
Step 1: the data center 2 obtains the Ticketing information of tourist by the user terminal 1;
Step 2: the data center 2 obtains target scenic spot information by the scenic area server 3;
Step 3: the data center 2 transfers the scenic spot activity 3d information, judges living when whether target scenic spot is limited
It is dynamic, when target scenic spot is limited when activity, execute activity booking process of prescribing a time limit;
Step 4: when target scenic spot is without activity in limited time, the data center 2 transfers the scenic spot capacity 3c information, sentences
Whether the number at disconnected target scenic spot is saturated, and when number is not saturated when scenic spot, executes preferential booking process, number tends to when scenic spot
When saturation, shunting measure 5 is executed.
In the off-season: using the capacity at sight spot 95% as saturation degree threshold value;In the tourist season: with the capacity at sight spot 90%
As saturation degree threshold value.
As shown in figure 4, specific step is as follows for the shunting measure 5:
Step 1: cancel the preferential booking activity of network at target scenic spot;
Step 2: congestion prompt in target scenic spot is issued to tourist, the municipal traffic department 4 is sent and reinforces scenic spot friendship
The information of logical relief;
Step 3: providing and shunt what mode of tourism was selected to tourist, including trip of avoiding the peak hour, equivalence swim, adhere to that target is swum.
As shown in figure 4, steps are as follows for the specific execution for trip of avoiding the peak hour between the scenic spot:
Step 1: when tourist select scenic spot between avoid the peak hour swim when, the data center 2 extract the tourist current location 1c,
Target scenic spot geographical location 3a;
Step 2: the scenic spot information between the tourist and target scenic spot is set out, wherein to there is movable scenic spot to do
Activity mark out;
Step 3: tourist is waited to confirm the selection at scenic spot;
Step 4: the booking process at the selected scenic spot of tourist is executed.
As shown in figure 4, in the scenic spot time avoid the peak hour trip it is specific execution steps are as follows:
Step 1: the data center 2 extracts the stream of people for working as foreground zone when tourist selects in scenic spot the time to avoid the peak hour to swim
The visiting time 3e at amount and the scenic spot;
Step 2: the data center 2 predicts the period that flow of the people may be fewer, and it is supplied to tourist's selection;
Step 3: tourist selects visiting time;
Step 4: executing normal scenic spot booking process.
As shown in figure 4, steps are as follows for the specific execution for adhering to target trip:
Step 1: tourist's selection adheres to that target scenic spot is gone sight-seeing;
Step 2: the normal booking process at performance objective scenic spot.
As shown in figure 4, steps are as follows for the specific execution of the equivalent trip:
Step 1: tourist selects equivalent trip;
Step 2: the data center 2 extracts tourist and likes 1a, consuming capacity 1b and target scenic spot type 3b information;
Step 3: being set out and meet client's hobby, consuming capacity and other scenic spot information with target scenic spot same type,
In, to there is movable scenic spot to make activity mark;
Step 4: tourist is waited to confirm the selection at scenic spot;
Step 5: the booking process at the selected scenic spot of tourist is executed.
The operation principle of the present invention is that: data center judges the happiness of tourist by the details of collection tourist and scenic spot
Good and scenic spot real-time status gives the preferential booking program of tourist when scenic spot visitor density is normal, when the tourist in scenic spot is close
Degree tends to be saturated, then enters shunting measure process, concurrently delivers logical relief and gives municipal traffic department.
Claims (9)
1. a kind of city tour tourist's intelligence separate system, it is characterised in that: the system includes:
Data platform (2): for obtaining the information of tourist and each scenic spot, and it is stored in tourist information database and scenic spot letter respectively
It ceases in database, while being connect with municipal traffic department (4);
Scenic area server (3): for sending the various information at the scenic spot to data platform (2);
Municipal traffic department (4): for deploying the traffic money at each scenic spot from data platform (2) dynamic acquisition tourist flow information
Source;
User terminal (1): scenic spot information is obtained from data platform (2), and passes through data platform (2) Xiang Jingqu network booking.
2. city tour tourist's intelligence separate system according to claim 1, it is characterised in that: the tourist information data
There is record in library:
Tourist likes (1a): according to the scenic spot type gone sight-seeing before tourist, determining the visit hobby of the tourist, preservation and not timing
It updates;
Consuming capacity (1b): according to the average consumption amount of money, the consumption type etc. before tourist when visit scenic spot, determine the tourist's
Consuming capacity, saves and not timing updates;
Current location (1c): the tourist geographical location of storing data platform (2) newest acquisition;
Tourist's communication modes (1d): contact method obtained when tourist's network booking, information notice and scape when for booking
The information notice of special circumstances occurs for area.
3. city tour tourist's intelligence separate system according to claim 1, it is characterised in that: the scenic spot information data
There is record in library:
Scenic spot geographical location (3a): the better address where scenic spot;
Scenic spot type (3b): detailed scenic spot type attribute;
Scenic spot capacity (3c): maximum open ended tourist's number in scenic spot;
Scenic spot activity (3d): the large-scale activity information undertaken recently in scenic spot;
Duration (3e) is averagely gone sight-seeing at scenic spot: under normal circumstances, all tourists in the scenic spot are averaged visiting time;
Scenic spot pre-capita consumption (3f): the average consumption amount of money of scenic spot visit tourist was arrived in the past.
4. the shunt method of city tour tourist's intelligence separate system according to claim 1 to 3, it is characterised in that: work as trip
When visitor issues target scenic spot ticket purchasing request, the analytical procedure of the data center (2) is as follows:
Step 1: the data center (2) obtains the Ticketing information of tourist by the user terminal (1);
Step 2: the data center (2) obtains target scenic spot information by the scenic area server (3);
Step 3: the data center (2) transfers movable (3d) information in the scenic spot, judges living when whether target scenic spot is limited
It is dynamic, when target scenic spot is limited when activity, execute activity booking process of prescribing a time limit;
Step 4: when target scenic spot is without activity in limited time, the data center (2) transfers scenic spot capacity (3c) information, sentences
Whether the number at disconnected target scenic spot is saturated, and when number is not saturated when scenic spot, executes preferential booking process, number tends to when scenic spot
When saturation, execute shunting measure (5).
5. the shunt method of city tour tourist's intelligence separate system according to claim 4, it is characterised in that: described point
Specific step is as follows for stream measure (5):
Step 1: cancel the preferential booking activity of network at target scenic spot;
Step 2: congestion prompt in target scenic spot is issued to tourist, the municipal traffic department (4) is sent and reinforces the scenic spot traffic
The information of relief;
Step 3: providing and shunt mode of tourism and select to tourist, including in trip of avoiding the peak hour between scenic spot, scenic spot the time avoid the peak hour trip, etc.
Value trip adheres to that target is swum.
6. the shunt method of city tour tourist's intelligence separate system according to claim 4, it is characterised in that: the scape
Section avoid the peak hour trip it is specific execution steps are as follows:
Step 1: avoiding the peak hour between tourist selects scenic spot when swimming, the data center (2) extract the tourist current location (1c),
Target scenic spot geographical location (3a);
Step 2: the scenic spot information between the tourist and target scenic spot is set out, wherein to there is movable scenic spot to make work
Dynamic label;
Step 3: tourist is waited to confirm the selection at scenic spot;
Step 4: the booking process at the selected scenic spot of tourist is executed.
7. the shunt method of city tour tourist's intelligence separate system according to claim 4, it is characterised in that: the scape
In area the time avoid the peak hour trip it is specific execution steps are as follows:
Step 1: when tourist selects in scenic spot the time to avoid the peak hour to swim, the data center (2) extract the flow of the people when foreground zone,
And the visiting time (3e) at the scenic spot;
Step 2: the data center (2) predicts the period that flow of the people may be fewer, and it is supplied to tourist's selection;
Step 3: tourist selects visiting time;
Step 4: executing normal scenic spot booking process.
8. the shunt method of city tour tourist's intelligence separate system according to claim 4, it is characterised in that: the heavily fortified point
Holding the specific execution that target is swum, steps are as follows:
Step 1: tourist's selection adheres to that target scenic spot is gone sight-seeing;
Step 2: the normal booking process at performance objective scenic spot.
9. the shunt method of city tour tourist's intelligence separate system according to claim 4: it is characterized by: described etc.
Steps are as follows for the specific execution of value trip:
Step 1: tourist selects equivalent trip;
Step 2: the data center (2) extracts tourist and likes (1a), consuming capacity (1b) and target scenic spot type (3b) letter
Breath;
Step 3: it is set out and meets client's hobby, consuming capacity and other scenic spot information with target scenic spot same type, wherein
To there is movable scenic spot to make activity mark;
Step 4: tourist is waited to confirm the selection at scenic spot;
Step 5: the booking process at the selected scenic spot of tourist is executed.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710714321.1A CN109413129A (en) | 2017-08-18 | 2017-08-18 | City tour tourist's intelligence separate system and shunt method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710714321.1A CN109413129A (en) | 2017-08-18 | 2017-08-18 | City tour tourist's intelligence separate system and shunt method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109413129A true CN109413129A (en) | 2019-03-01 |
Family
ID=65462691
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710714321.1A Pending CN109413129A (en) | 2017-08-18 | 2017-08-18 | City tour tourist's intelligence separate system and shunt method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109413129A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113674537A (en) * | 2021-07-02 | 2021-11-19 | 宁德师范学院 | City tourism visitor intelligence split flow system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104951845A (en) * | 2015-05-29 | 2015-09-30 | 华南理工大学 | Tourist attraction saturation pre-warning method with function of passenger flow volume fitting on basis of network attention |
CN105427208A (en) * | 2015-11-11 | 2016-03-23 | 镇江市高等专科学校 | Cloud computing based management method for smart travel management system |
CN105550951A (en) * | 2015-12-30 | 2016-05-04 | 南京邮电大学 | Decision assistant system and method of tour travel |
CN205263843U (en) * | 2015-12-26 | 2016-05-25 | 天津紫阳网络科技有限公司 | Intelligent terminal system based on network platform |
US20160321764A1 (en) * | 2015-04-29 | 2016-11-03 | Flux Group, LLC | Method of and system for planning and redistributing congested flows based on integrated calendar information |
-
2017
- 2017-08-18 CN CN201710714321.1A patent/CN109413129A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160321764A1 (en) * | 2015-04-29 | 2016-11-03 | Flux Group, LLC | Method of and system for planning and redistributing congested flows based on integrated calendar information |
CN104951845A (en) * | 2015-05-29 | 2015-09-30 | 华南理工大学 | Tourist attraction saturation pre-warning method with function of passenger flow volume fitting on basis of network attention |
CN105427208A (en) * | 2015-11-11 | 2016-03-23 | 镇江市高等专科学校 | Cloud computing based management method for smart travel management system |
CN205263843U (en) * | 2015-12-26 | 2016-05-25 | 天津紫阳网络科技有限公司 | Intelligent terminal system based on network platform |
CN105550951A (en) * | 2015-12-30 | 2016-05-04 | 南京邮电大学 | Decision assistant system and method of tour travel |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113674537A (en) * | 2021-07-02 | 2021-11-19 | 宁德师范学院 | City tourism visitor intelligence split flow system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Krosby et al. | Focal species and landscape “naturalness” corridor models offer complementary approaches for connectivity conservation planning | |
CN107864224A (en) | A kind of team's collection approach and system | |
CN107545320A (en) | A kind of urban track traffic passenger paths planning method and system based on graph theory | |
CN106576383A (en) | Deployment criteria for unmanned aerial vehicles to improve cellular phone communications | |
Zhu et al. | Modeling pedestrian shopping behavior using principles of bounded rationality: model comparison and validation | |
CN108182446A (en) | A kind of driver's permanent residence Forecasting Methodology and device based on clustering algorithm | |
Shi et al. | Analysis of trip generation rates in residential commuting based on mobile phone signaling data | |
CN108282739A (en) | Geographic information data acquisition method, apparatus and system | |
CN108011957A (en) | System and method based on internet reservation tour guide | |
CN109413129A (en) | City tour tourist's intelligence separate system and shunt method | |
Alarcón et al. | Performance measuring benchmarking, and modelling of construction projects | |
Souza et al. | Tourism demand analysis of the federal protected areas of Brazil | |
CN109087219A (en) | A kind of tourism cloud computing system and method, terminal | |
CN103078956A (en) | Information interaction system for realizing accurate data mining | |
Outwater et al. | Use of structural equation modeling for an attitudinal market segmentation approach to mode choice and ridership forecasting | |
CN116052421A (en) | Traffic flow prediction method based on static and dynamic multi-graph fusion | |
Corigliano et al. | Tourism, technology, information and the relationship with customers | |
Xu et al. | Quantifying the competitiveness of transit relative to taxi with multifaceted data | |
CN105516370B (en) | Real-time supplying system and method | |
CN112287243B (en) | Service information recommendation device and method based on collaborative filtering algorithm | |
Fyall et al. | Destination management | |
CN114757584A (en) | Multi-scene-oriented meteorological information intelligent accompanying service system and method | |
Habib et al. | Modeling of job mobility and location choice decisions | |
CN108133291A (en) | A kind of correlation analysis between social event and passenger traffic demand | |
Franquesa et al. | Transversal indicators and qualitative observatories of heritage tourism |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190301 |
|
RJ01 | Rejection of invention patent application after publication |