CN111798027A - Tourist flow prediction and peak value regulation and control method based on tourism big data - Google Patents
Tourist flow prediction and peak value regulation and control method based on tourism big data Download PDFInfo
- Publication number
- CN111798027A CN111798027A CN202010463306.6A CN202010463306A CN111798027A CN 111798027 A CN111798027 A CN 111798027A CN 202010463306 A CN202010463306 A CN 202010463306A CN 111798027 A CN111798027 A CN 111798027A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- tourist
- flow
- flow prediction
- 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 15
- 238000007726 management method Methods 0.000 claims abstract description 59
- 238000012545 processing Methods 0.000 claims abstract description 36
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 238000012986 modification Methods 0.000 claims description 10
- 230000004048 modification Effects 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000013479 data entry Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 description 5
- 238000013480 data collection Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000008844 regulatory mechanism Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- 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)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Probability & Statistics with Applications (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a tourist flow prediction and peak value regulation and control method based on tourism big data, which comprises a data acquisition device, wherein a flow data publishing platform is arranged in the data acquisition device, one end of the data acquisition device is connected with a CPU processing module, one end of the CPU processing module, which is far away from the data acquisition device, is respectively connected with a flow prediction module and a peak value regulation and control management module, the flow prediction module and the peak value regulation and control management module are connected with each other, the other ends of the flow prediction module and the peak value regulation and control management module are connected with a wireless communication module, the other end of the wireless communication module is connected with a management layer module, one end of the management layer module, which is far away from the wireless communication module, is connected with a data storage. Has the advantages that: the passenger flow predicted by the peak value regulation and control management module is input, collected and analyzed, and effective and timely processing and feedback are performed, so that tourists can be better served in scenic spots, and the management and control pressure of the scenic spots is released.
Description
Technical Field
The invention relates to the field of big data prediction, in particular to a tourist flow prediction and peak value regulation and control method based on tourism big data.
Background
By the end of 2015, the number of tourism people in China exceeds 41 million people, the tourism income is about 4.13 trillion yuan, the comprehensive contribution of the tourism industry to GDP exceeds the comprehensive contribution of education, bank and automobile industries, and the occupation ratio is up to 10.51%. According to 2016 national travel market information of festival and holiday of national travel published by the national travel bureau, 5.93 hundred million tourists are received all over the country during the national gold period. The prosperity of the tourist market promotes the development of the tourism industry, simultaneously puts forward higher requirements on scenic spots and tourist cities, effectively obtains tourist flow data prediction by utilizing data, and conducts the guiding regulation and control of tourists with predictability, thereby improving the service quality of the scenic spots and promoting the tourism experience of the tourists.
Currently, to solve the above problems, the national tourist agency has issued a notice to require that a robust scenic spot tourist flow control mechanism be established in various places. However, from the development situation of the tourism industry all over the country at present, scenic spots and tourist cities lack a perfect tourist flow prediction and peak value regulation mechanism. The traditional tourist flow prediction mostly starts from ticket sale, the data source is single, the tourism big data generated by intellectualization of tourism is not fully utilized, the statistical result is one-sidedness, and the statistical accuracy is not enough. The method is lack of effective tourist flow prediction and early warning data support, so that the tourist regulation and control method of scenic spots and tourist cities still stays on traditional paths such as broadcasting prompting, traffic control, consumption price regulation and control, internet means is not fully utilized, online and offline interaction is realized, tourist flow is guided, and the number of tourist in the scenic spots is regulated and controlled.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
The invention aims to provide a tourist flow prediction and peak value regulation and control method based on tourist big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the tourist flow prediction and peak value regulation and control system based on tourist big data comprises a data acquisition device, wherein a flow data publishing platform is arranged in the data acquisition device, one end of the data acquisition device is connected with a CPU processing module, the CPU processing module is far away from one end of the data acquisition device and is respectively connected with a flow prediction module and a peak value regulation and control management module, the flow prediction module and the peak value regulation and control management module are connected with each other, the other end of the flow prediction module and the other end of the peak value regulation and control management module are both connected with a wireless communication module, the other end of the wireless communication module is connected with a management layer module, the management layer module is far away from one end of the wireless communication module and is connected with a data storage module, and the other end of the management layer module is connected with.
Further, the flow data publishing platform comprises a visitor registration module, a visitor permission modification module and a visitor publishing module.
Further, the flow prediction module comprises a real-time monitoring module and a GPS positioning module.
Furthermore, the peak value regulation and control management module comprises a data query platform, a data entry platform, a data summarization platform and a data processing platform.
Furthermore, the data processing platform comprises a peak value prediction module, a peak value emergency processing module and a peak value data warning module.
Further, the wireless communication module adopts 2G, 3G, 4G, 5G, WIFI and other networks.
According to another aspect of the present invention, a tourist flow predicting and peak regulating method based on big tourist data is provided, which is used for a tourist flow predicting and peak regulating system based on big tourist data, and comprises the following steps:
firstly, the flow of the tourists is roughly known through a tourist registration module, a tourist authority modification module and a tourist release module in a flow data release platform, and then the collected data is sent to a CPU processing module;
analyzing and processing the acquired data through a CPU processor in the CPU processing module, and respectively sending the processed data to the flow prediction module and the peak value regulation and control management module;
the real-time monitoring module and the GPS positioning module in the flow prediction module can monitor and position the tourist in real time, acquire the information of the current position, the direction, the weather and the like of the tourist, further predict the flow of the tourist and send the flow to the peak value regulation and control management module and the management layer module;
the final predicted tourist flow information is input and summarized through the peak value regulation and control management module, and then is sent to the management layer module through the wireless communication module, when the tourist flow data is smaller than a normal period, the management layer module issues various tourism related data for the tourism purchasing entertainment of the living and living people to a system user, and the data format of the tourism related data comprises characters, numbers, graphs, videos, audios, maps and the like.
When the tourist flow data is larger than the normal period, the management layer module issues various tourism related data and alarm signals for the tourism purchasing of the living and living tourist to the system user, and simultaneously calls the emergency processing module to provide an emergency plan.
And finally, the information of all users in the system is collected, classified and stored through a data storage module so as to be convenient for later searching.
Furthermore, the peak data warning module reminds a manager and tourists by starting an alarm lamp of the audible and visual alarm to flicker and giving out alarm sound.
The invention provides a tourist flow prediction and peak value regulation and control method based on tourist big data, which has the following beneficial effects:
through visitor registration module that the visitor registered in the flow data issuing platform, visitor's authority modification module and visitor issuing module, and real time monitoring module and GPS orientation module, through the internet technology, come statistics from a plurality of passageways to know the prediction passenger flow, can effectively promote scenic spot to passenger flow control's degree of accuracy and validity, carry out the peak value regulation and control according to the regulation and control resistance coefficient on the basis of prediction, can effectively alleviate scenic spot's management pressure, improve the operation efficiency, and finally, passenger flow through peak value regulation and control management module prediction, type in, gather, the analysis, and carry out effective timely processing and feedback, thereby make the scenic spot can be better service visitor, release scenic spot's management and control pressure.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a tourist flow prediction and peak regulation system based on big tourist data according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a flow data distribution platform in a tourist flow prediction and peak regulation system based on big tourist data according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a flow prediction module in a tourist flow prediction and peak regulation system based on big tourist data according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a peak regulation and control management module in the tourist flow prediction and peak regulation and control system based on big tourist data according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for tourist flow prediction and peak regulation based on big data, according to an embodiment of the present invention.
Reference numerals:
1. a data acquisition device; 2. a traffic data publishing platform; 3. a CPU processing module; 4. a flow prediction module; 5. a peak value regulation and control management module; 6. a wireless communication module; 7. a management layer module; 8. a data storage module; 9. a guest registration module; 10. a visitor permission modification module; 11. a visitor issuing module; 12. a real-time monitoring module; 13. a GPS positioning module; 14. a data query platform; 15. a data entry platform; 16. a data summarization platform; 17. a data processing platform; 18. a peak prediction module; 19. a peak value emergency processing module; 20. a peak data warning module; 21. a CPU processor.
Detailed Description
The invention is further described with reference to the following drawings and detailed description:
the first embodiment is as follows:
referring to fig. 1-4, a tourist flow prediction and peak regulation system based on tourist big data according to an embodiment of the present invention includes a data collection device 1, a flow data publishing platform 2 is disposed inside the data collection device 1, a CPU processing module 3 is connected to one end of the data collection device 1, one end of the CPU processing module 3 away from the data collection device 1 is respectively connected to a flow prediction module 4 and a peak regulation management module 5, the flow prediction module 4 is connected to the peak regulation management module 5, the other ends of the flow prediction module 4 and the peak regulation management module 5 are both connected to a wireless communication module 6, the other end of the wireless communication module 6 is connected to a management layer module 7, one end of the management layer module 7 away from the wireless communication module 6 is connected to a data storage module 8, the other end of the management layer module 7 is connected with the data acquisition equipment 1.
Example two:
referring to fig. 1-4, for the traffic data distribution platform 2, the traffic data distribution platform 2 includes a guest registration module 9, a guest permission modification module 10 and a guest distribution module 11. For the traffic prediction module 4, the traffic prediction module 4 includes a real-time monitoring module 12 and a GPS positioning module 13. For the peak value regulation and control management module 5, the peak value regulation and control management module 5 comprises a data query platform 14, a data entry platform 15, a data summarization platform 16 and a data processing platform 17. For the data processing platform 17, the data processing platform 17 includes a peak prediction module 18, a peak emergency processing module 19, and a peak data alert module 20. For the wireless communication module 6, the wireless communication module 6 employs a network such as 2G, 3G, 4G, 5G, WIFI, etc. For the peak data warning module 20, the peak data warning module 20 reminds the administrator and the visitor by starting an alarm lamp of the audible and visual alarm to flash and giving out an alarm sound.
Example three:
as shown in fig. 5, according to an embodiment of the present invention, there is further provided a tourist flow predicting and peak regulating method based on big tourist data, which is used for the tourist flow predicting and peak regulating method based on big tourist data, and includes the following steps:
step S101, firstly, the tourist registration module 9, the tourist authority modification module 10 and the tourist issuing module 11 in the flow data issuing platform 2 are used for approximately knowing the flow of the tourist, and then the collected data are sent to the CPU processing module 3;
step S103, analyzing and processing the acquired data through the CPU 21 in the CPU processing module 3, and respectively sending the processed data to the flow prediction module 4 and the peak regulation and control management module 5;
step S105, the real-time monitoring module 12 and the GPS positioning module 13 in the flow prediction module 4 can monitor and position the tourist in real time, acquire information such as the current position, direction and weather of the tourist, further predict the flow of the tourist, and send the flow to the peak value regulation and control management module 5 and the management layer module 7;
step S107, the finally predicted tourist flow information is input and summarized through the peak value regulation and control management module 5, and then is sent to the management layer module 7 through the wireless communication module 6, when the tourist flow data is smaller than a normal period, the management layer module 7 issues various tourism related data for the tourism purchasing entertainment of the living and living department to the system user, and the data format of the tourism related data comprises characters, numbers, graphs, videos, audios, maps and the like;
step S109, when the data of the tourist flow is larger than the normal period, the management layer module 7 issues various tourism related data and alarm signals for eating, living, traveling and purchasing entertainment to the system user, and simultaneously calls the peak value emergency processing module 19 to provide an emergency plan;
step S111, finally, the information of all users in the system is collected, classified and stored through the data storage module 8, so that the later-stage search is facilitated;
for the convenience of understanding the technical solutions of the present invention, the following detailed descriptions will be provided for the working principles or the operation modes of the present invention in the practical process
In practical application, through the visitor registration module 9, the visitor permission modification module 10 and the visitor distribution module 11 registered by the visitor in the flow data distribution platform 2, the real-time monitoring module 12 and the GPS positioning module 13, through the internet technology, the predicted passenger flow is counted and known from a plurality of channels, the accuracy and the effectiveness of the scenic spot on passenger flow control can be effectively improved, peak value regulation and control are carried out according to the regulation and control resistance coefficient on the basis of prediction, the management pressure of the scenic spot can be effectively relieved, the operation efficiency is improved, finally, the peak value regulation and control management module 5 is used for recording, summarizing and analyzing according to the predicted passenger flow, effective and timely processing and feedback are carried out, so that the scenic spot can better serve the visitor, and the management and control pressure of the scenic spot is released.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The tourist flow prediction and peak value regulation and control system based on tourism big data is characterized by comprising a data acquisition device (1), a flow data publishing platform (2) is arranged inside the data acquisition device (1), a CPU processing module (3) is connected to one end of the data acquisition device (1), the CPU processing module (3) is far away from one end of the data acquisition device (1) and is respectively connected with a flow prediction module (4) and a peak value regulation and control management module (5), the flow prediction module (4) and the peak value regulation and control management module (5) are connected with each other, the flow prediction module (4) and the other end of the peak value regulation and control management module (5) are connected with a wireless communication module (6), the other end of the wireless communication module (6) is connected with a management layer module (7), the management layer module (7) is far away from one end of the wireless communication module (6) and a data storage module (8) And the other end of the management layer module (7) is connected with the data acquisition equipment (1).
2. The tourist flow prediction and peak regulation system based on big data of tourists according to claim 1, wherein the flow data distribution platform (2) comprises a tourist registration module (9), a tourist authority modification module (10) and a tourist distribution module (11).
3. The tourist big data-based tourist flow prediction and peak regulation system according to claim 2, wherein the flow prediction module (4) comprises a real-time monitoring module (12) and a GPS positioning module (13).
4. The tourist big data-based tourist flow prediction and peak regulation system according to claim 3, wherein the peak regulation management module (5) comprises a data query platform (14), a data entry platform (15), a data summarization platform (16) and a data processing platform (17).
5. The tourist big data-based tourist flow prediction and peak regulation system according to claim 4, wherein the data processing platform (17) comprises a peak prediction module (18), a peak emergency processing module (19) and a peak data warning module (20).
6. The tourist big data-based tourist flow prediction and peak regulation system according to claim 5, wherein the wireless communication module (6) adopts 2G, 3G, 4G, 5G, WIFI network.
7. A tourist flow prediction and peak regulation method based on big tourist data is characterized in that the tourist flow prediction and peak regulation system based on big tourist data is used for the tourist flow prediction and peak regulation system based on big tourist data of claim 6, and comprises the following steps:
firstly, the flow of the tourists is roughly known through a tourist registration module (9), a tourist authority modification module (10) and a tourist release module (11) in a flow data release platform (2), and then the collected data is sent to a CPU processing module (3);
analyzing and processing the acquired data through a CPU (21) in the CPU processing module (3), and respectively sending the processed data to the flow prediction module (4) and the peak regulation and control management module (5);
a real-time monitoring module (12) and a GPS positioning module (13) in the flow prediction module (4) can monitor and position the tourist in real time, acquire information such as the current position, direction and weather of the tourist, further predict the flow of the tourist and send the flow to a peak value regulation and control management module (5) and a management layer module (7);
the final predicted tourist flow information is input and collected through the peak value regulation and control management module (5), then the information is sent to the management layer module (7) through the wireless communication module (6), when the tourist flow data is smaller than a normal period, the management layer module (7) issues various tourism related data for eating, living, traveling and purchasing entertainment to a system user, and the data format of the tourism related data comprises characters, numbers, graphs, videos, audios, maps and the like.
When the tourist flow data is larger than the normal period, the management layer module (7) issues various tourism related data and alarm signals for eating, living, traveling and purchasing entertainment to the system user, and simultaneously calls the peak value emergency processing module (18) to put forward an emergency plan.
And finally, the information of all users in the system is collected, classified and stored through a data storage module (8) so as to be convenient for later searching.
8. The tourist big data-based tourist flow prediction and peak regulation method according to claim 7, wherein the peak data warning module (20) is used for reminding the manager and the tourist by starting an alarm lamp of an audible and visual alarm to flash and giving an alarm sound.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010463306.6A CN111798027A (en) | 2020-05-27 | 2020-05-27 | Tourist flow prediction and peak value regulation and control method based on tourism big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010463306.6A CN111798027A (en) | 2020-05-27 | 2020-05-27 | Tourist flow prediction and peak value regulation and control method based on tourism big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111798027A true CN111798027A (en) | 2020-10-20 |
Family
ID=72806272
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010463306.6A Pending CN111798027A (en) | 2020-05-27 | 2020-05-27 | Tourist flow prediction and peak value regulation and control method based on tourism big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111798027A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112926784A (en) * | 2021-03-05 | 2021-06-08 | 江苏唱游数据技术有限公司 | Scenic spot pedestrian volume peak value prediction method suitable for travel industry monitoring |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104036352A (en) * | 2014-06-09 | 2014-09-10 | 陕西师范大学 | Space-time regulation and emergency guidance system and method for scenic spot tourists |
| CN104966134A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Scenic spot visitor flow prediction and over-limit emergency system based on mobile terminal |
| CN106296478A (en) * | 2016-08-25 | 2017-01-04 | 石张宇 | A kind of tourism public service platform |
| CN106779196A (en) * | 2016-12-05 | 2017-05-31 | 中国航天系统工程有限公司 | A kind of tourist flow prediction and peak value regulation and control method based on tourism big data |
-
2020
- 2020-05-27 CN CN202010463306.6A patent/CN111798027A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104036352A (en) * | 2014-06-09 | 2014-09-10 | 陕西师范大学 | Space-time regulation and emergency guidance system and method for scenic spot tourists |
| CN104966134A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Scenic spot visitor flow prediction and over-limit emergency system based on mobile terminal |
| CN106296478A (en) * | 2016-08-25 | 2017-01-04 | 石张宇 | A kind of tourism public service platform |
| CN106779196A (en) * | 2016-12-05 | 2017-05-31 | 中国航天系统工程有限公司 | A kind of tourist flow prediction and peak value regulation and control method based on tourism big data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112926784A (en) * | 2021-03-05 | 2021-06-08 | 江苏唱游数据技术有限公司 | Scenic spot pedestrian volume peak value prediction method suitable for travel industry monitoring |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106875066B (en) | Vehicle travel behavior prediction method, device, server and storage medium | |
| CN104485016B (en) | Intelligent roadside parking management system based on cloud technology platform | |
| Anastasi et al. | Urban and social sensing for sustainable mobility in smart cities | |
| CN107067707B (en) | Bus operation and passenger trip optimization system | |
| Liu | Big data technology and its analysis of application in urban intelligent transportation system | |
| CN113194138B (en) | Travel management method and system based on AI deep learning | |
| CN110431572A (en) | System and method for managing assets in a geographic location | |
| CN107491883A (en) | A kind of travel information service | |
| CN106557855A (en) | A kind of smart travel passenger flow total management system | |
| CN103854472A (en) | Taxi cloud-intelligent scheduling method and system | |
| CN105489048A (en) | Urban public transport issuing and querying system | |
| CN105792134B (en) | A kind of share-car method and device | |
| CN103065464B (en) | Real-time passenger flow characteristic analysis method and system | |
| CN105489039A (en) | Road condition information service realization method and system | |
| CN111260095B (en) | Scenic spot resource scheduling method and system based on Internet of things | |
| CN104504541A (en) | Big data analysis based cloud service interaction system and method facilitating user's outgoing | |
| CN111798027A (en) | Tourist flow prediction and peak value regulation and control method based on tourism big data | |
| CN114694399A (en) | Parking stall reservation management system based on thing networking | |
| CN108154701A (en) | Intelligent parking scheduling system based on Internet of things technology | |
| CN103093638A (en) | Intelligent traffic service system based on geographic information | |
| Xiong et al. | Parallel traffic management system helps 16th Asian games | |
| CN107895502A (en) | A kind of smart city intelligent transportation guides system | |
| CN116312022A (en) | Parking recommendation system based on user preference and parking space occupancy rate | |
| Lee et al. | Incorporating e-technology to advantage in a greener taxi industry and its impact on driving performance and safety | |
| CN113538887A (en) | Intelligent bus terminal system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201020 |