CN107657009A - Cycling trip analysis method and system - Google Patents
Cycling trip analysis method and system Download PDFInfo
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- CN107657009A CN107657009A CN201710874274.7A CN201710874274A CN107657009A CN 107657009 A CN107657009 A CN 107657009A CN 201710874274 A CN201710874274 A CN 201710874274A CN 107657009 A CN107657009 A CN 107657009A
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- 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
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- 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
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- 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
- G06F16/248—Presentation of query results
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- 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
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- G—PHYSICS
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- 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
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- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The present invention provides a kind of cycling trip analysis method and system.Methods described is applied to computing device, and the trip situation that methods described is used for target bicycle is analyzed, wherein, the target bicycle includes：Shared bicycle and the public bicycles for being configured with car locking post site.Methods described includes：The initial data of target bicycle is imported, the initial data of importing is pre-processed.The analysis result of target cycling trip situation is obtained to the initial data progress signature analysis of target bicycle, operation assessment is carried out to the initial data of target bicycle, obtains the assessment result of target bicycle traffic-operating period.Thereby, it is possible to carry out analyzing and assessing to target bicycle initial data from many aspects comprehensively, data analysis efficiency high, scope are wide.According to the analysis result of target cycling trip situation and the assessment result of traffic-operating period reference can be provided for the follow-up developments of urban public tranlport system and planning construction.
Description
Technical field
The present invention relates to big data technical field, in particular to a kind of cycling trip analysis method and system.
Background technology
As the propulsion of urbanization and the development of urban motorization, traffic problems are worsening.Bicycle is because of its healthy ring
The features such as protecting, be easy to use, flexibility is high, it has also become the object that city is greatly developed.Middle-size and small-size plain city development level and
Resident Trip Characteristics etc. have differences with big city.Medium plain city, have resident trip distance universal shorter, slow
The characteristics of row traffic dominant characteristics protrude, and physical features is gentle, is relatively adapted to the development of public transportation system.
At present, the system for data analysis being carried out to shared bicycle or public bicycles trip situation, the data model of analysis
Enclose smaller, the trip characteristicses of analysis are not comprehensive enough, data analysis it is less efficient.
The content of the invention
In order to overcome above-mentioned deficiency of the prior art, the present invention provides a kind of cycling trip analysis method and system,
It can share bicycle and/or the progress of public bicycles initial data analysis and assessment comprehensively to substantial amounts of, obtain sharing certainly
The assessment result of the analysis result and traffic-operating period of driving and/or public bicycles trip situation, is urban public tranlport system
Follow-up developments and planning construction provide reference.
First purpose of present pre-ferred embodiments is to provide a kind of cycling trip analysis method, set applied to calculating
Standby, the trip situation that methods described is used for target bicycle is analyzed, wherein, the target bicycle includes：Share certainly
The public bicycles of car locking post site are driven a vehicle and are configured with, methods described includes：
The initial data of target bicycle is imported, the initial data of importing is pre-processed, wherein, the target is voluntarily
The initial data of car includes：The initial data of the initial data of public bicycles and/or shared bicycle；
The analysis knot of target cycling trip situation is obtained to the initial data progress signature analysis of the target bicycle
Fruit, operation assessment is carried out to the initial data of the target bicycle, obtains the assessment result of target bicycle traffic-operating period.
Second purpose of present pre-ferred embodiments is to provide a kind of cycling trip analysis system, set applied to calculating
Standby, the trip situation that the system is used for target bicycle is analyzed, wherein, the target bicycle includes：Share certainly
The public bicycles of car locking post site are driven a vehicle and are configured with, the system includes：
Data import modul, for importing the initial data of target bicycle, the initial data of importing is pre-processed,
Wherein, the initial data of the target bicycle includes：The original number of the initial data of public bicycles and/or shared bicycle
According to；
Data analysis evaluation module, target is obtained certainly for carrying out signature analysis to the initial data of the target bicycle
The analysis result for trip situation of driving a vehicle, carries out operation assessment to the initial data of the target bicycle, obtains target bicycle
The assessment result of traffic-operating period.
In terms of existing technologies, the invention has the advantages that：
Present pre-ferred embodiments provide a kind of cycling trip analysis method and system.Methods described is set applied to calculating
Standby, the trip situation that methods described is used for target bicycle is analyzed, wherein, the target bicycle includes：Share certainly
The public bicycles of car locking post site are driven a vehicle and are configured with, methods described includes：The initial data of target bicycle is imported, to leading
The initial data entered is pre-processed, wherein, the initial data of the target bicycle includes：The initial data of public bicycles
And/or the initial data of shared bicycle.Target is obtained voluntarily to the initial data progress signature analysis of the target bicycle
The analysis result of car trip situation, operation assessment is carried out to the initial data of the target bicycle, obtains target bicycle fortune
The assessment result of battalion's situation.Thereby, it is possible to carry out analyzing and assessing to target bicycle initial data from many aspects comprehensively, number
It is wide according to analysis efficiency height, scope.Can be according to the analysis result of target cycling trip situation and the assessment result of traffic-operating period
The follow-up developments of urban public tranlport system and planning construction provide reference.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the block diagram for the computing device that present pre-ferred embodiments provide.
Fig. 2 is one of step flow chart of cycling trip analysis method that first embodiment of the invention provides.
Fig. 3 is one of step S110 sub-step flow chart shown in Fig. 2 that first embodiment of the invention provides.
Fig. 4 is the two of the sub-step flow chart of the step S110 shown in Fig. 2 that first embodiment of the invention provides.
Fig. 5 is one of step S130 sub-step flow chart shown in Fig. 2 that first embodiment of the invention provides.
Fig. 6 is the two of the sub-step flow chart of the step S130 shown in Fig. 2 that first embodiment of the invention provides.
Fig. 7 is the two of the step flow chart for the vehicle data analysis method that first embodiment of the invention provides.
Fig. 8 is the functional block diagram for the cycling trip analysis system that second embodiment of the invention provides.
Fig. 9 is the functional block diagram for the data analysis evaluation module submodule that second embodiment of the invention provides.
Icon：100- computing devices；110- memories；120- processors；130- mixed-media network modules mixed-medias；200- cycling trips point
Analysis system；210- data import moduls；220- data analysis evaluation modules；222- data analysis submodules；224- data assessments
Submodule；230- data disaply moudles.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Generally herein
The component of the embodiment of the present invention described and illustrated in place's accompanying drawing can be configured to arrange and design with a variety of.Therefore,
The detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit the model of claimed invention below
Enclose, but be merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
There is the every other embodiment made and obtained under the premise of creative work, belong to the scope of protection of the invention.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.In addition, term " the
One ", " second " etc. is only used for distinguishing description, and it is not intended that instruction or hint relative importance.
Fig. 1 is refer to, Fig. 1 is the block diagram for the computing device 100 that present pre-ferred embodiments provide.The calculating
Equipment 100 includes memory 110, cycling trip analysis system 200, processor 120, mixed-media network modules mixed-media 130.
The memory 110, processor 120, mixed-media network modules mixed-media 130 are directly or indirectly electrically connected between each other, with reality
The transmission or interaction of existing data.For example, these elements can be realized by one or more communication bus or signal wire between each other
It is electrically connected with.Cycling trip analysis system 200 is stored with memory 110, the cycling trip analysis system 200 includes
At least one software function module that can be stored in the form of software or firmware (firmware) in the memory 110, institute
State processor 120 and software program and module in memory 110 be stored in by operation, so as to perform various function application with
And data processing.
Wherein, the memory 110 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 110 is used for storage program, the processor 120 after execute instruction is received,
Perform described program.Further, the software program in above-mentioned memory 110 and module may also include operating system, and it can
Including the various component softwares for management system task (such as memory management, storage device control, power management etc.) and/or
Driving, and can be in communication with each other with various hardware or component software, so as to provide the running environment of other software component.
The processor 120 can be a kind of IC chip, have the disposal ability of signal.Above-mentioned processor
120 can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc..Can realize or perform disclosed each method in the embodiment of the present invention, step and
Logic diagram.General processor can be microprocessor or the processor can also be any conventional processor etc..
The mixed-media network modules mixed-media 130 is used for by the communication link between real-time performance computing device 100 and other external equipments
Connect and data transfer.
It is appreciated that structure described in Fig. 1 is only to illustrate, computing device 100 may also include it is more more than shown in Fig. 1 or
Less component, or there is the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can use hardware, software or its
Combination is realized.
First embodiment
Present pre-ferred embodiments provide a kind of cycling trip analysis method.Methods described is used for target bicycle
Trip situation is analyzed, wherein, the target bicycle includes：Shared bicycle and be configured with car locking post site it is public from
Driving.Fig. 2 is refer to, Fig. 2 is one of step flow chart of cycling trip analysis method that first embodiment of the invention provides.
The cycling trip analysis method is applied to above-mentioned computing device 100.Below to the specific of cycling trip analysis method
Flow is described in detail.
Step S110, the initial data of target bicycle is imported, the initial data of importing is pre-processed.
In the present embodiment, the initial data of the target bicycle includes：The initial data of public bicycles and/or altogether
Enjoy the initial data of bicycle.
When the initial data of the target bicycle of importing is the initial data of public bicycles, the step S110 includes
Step shown in Fig. 3.Fig. 3 is refer to, Fig. 3 is the sub-step of the step S110 shown in Fig. 2 that first embodiment of the invention provides
One of flow chart.The step S110 includes：Sub-step S111, sub-step S112, sub-step S113, sub-step S114, sub-step
Rapid S115 and sub-step S116.
In the present embodiment, the initial data of the public bicycles includes：Brushing card data, site information data, member
Information data and map datum.Wherein, the brushing card data, site information data and membership information data can be with tables of data
Form is stored in the database of data center, and the computing device 100 can obtain tables of data from the database of data center and enter
Row imports.
Sub-step S111, import brushing card data.
In the present embodiment, when user needs to use public bicycles, user swipes the card to complete to pick up the car on car locking post and moved
Make.When user gives back public bicycles, user gives back public bicycles to site, is brushed on the car locking post for giving back site
Action is given back in card, completion.Car locking post is borrowed according to information of member card record, action of swiping the card twice also, forms a complete public affairs
Bicycle brushing card data altogether, data center is transferred to by communication apparatus.The computing device 100 can be from the data of data center
Storehouse obtains the brushing card data of user.
In the present embodiment, the brushing card data can include, but are not limited to：Member's card number, license number, by means of car site compile
Number, by means of the car time, number node of returning the car, the time of returning the car, with car duration etc..
Sub-step S112, import site information data.
In the present embodiment, city can pre-set multiple sites, and each site is provided with multiple car locking posts.The calculating
Equipment 100 can obtain site information data from the database of data center.The site information data can include, but unlimited
In：Dot number, site type, number node, site title, dot location etc..
In the present embodiment, the site type refers to the land character type of dot location affiliated area, can specifically wrap
Include：Inhabitation, education, administration, hinge, Gongjian, stroll about or have a rest, industry, synthesis etc..
Sub-step S113, import membership information data.
In the present embodiment, the computing device 100 can obtain membership information data from the database of data center.It is described
Membership information data can include, but are not limited to：Member's card number, membership's information, time of applying for card etc., membership's letter
Breath includes the information such as address name, user's sex.
Sub-step S114, map datum is imported, establishes coordinate system.
In the present embodiment, the computing device 100 obtains map datum and imported, according to the map datum of importing
Coordinate system corresponding to foundation.Wherein, the map datum preferably uses OSM (OpenStreetMap, map of increasing income) map number
According to.
Sub-step S115, brushing card data, site information data and membership information data to importing carry out data correlation, number
According to the pretreatment operation that cleaning and mathematical logic are perfect.
In the present embodiment, the computing device 100 can be according to brushing card data of the critical field to importing, site Information Number
According to and membership information data carry out data correlation.For example, brushing card data can be closed with site information data by number node
Connection, the membership information data can be associated with brushing card data by member's card number.
Sub-step S116, coordinate transformation is carried out to the site information data of importing, carried out on the basis of the coordinate system of map
Coordinate matching.
In the present embodiment, the computing device 100 carries out coordinate transformation to the site information data of importing, and site is set
The position correspondence put is matched in the map datum of importing.
When the initial data of the target bicycle of importing is the initial data of shared bicycle, the step S110 includes
Step shown in Fig. 4.Fig. 4 is refer to, Fig. 4 is the sub-step of the step S110 shown in Fig. 2 that first embodiment of the invention provides
The two of flow chart.The step S110 also includes：Sub-step S117, sub-step S118 and sub-step S119.
In the present embodiment, the initial data of the shared bicycle includes：Bicycle information data, release position Information Number
According to and map datum.Wherein, the bicycle information data, release position information data can be stored in number in the form of tables of data
According in the database at center, the computing device 100 can obtain tables of data from the database of data center and be imported.
Sub-step S117, import bicycle information data and release position information data.
In the present embodiment, the bicycle information data can include, but are not limited to：Bicycle numbering, bicycle GPS
Data (including：By means of car point position, a position of returning the car, bicycle running circuit etc.), by means of car time, the time of returning the car, with car duration
Deng.
In the present embodiment, when user needs to use shared bicycle, user carries out barcode scanning unlocking and completes pick-up action.
When user gives back shared bicycle, user shuts completion and gives back action.The server of the shared bicycle of management is according to user's body
The action twice that part information record is unlocked, shut, form a complete shared bicycle and use data, be stored in server
Data center.The computing device 100 can obtain the bicycle information data of user from the database of data center.
In the present embodiment, city can pre-set multiple release positions.The computing device 100 can be from the number of data center
Release position information data is obtained according to storehouse.The release position information data can include, but are not limited to：Release position quantity, release position
Type, release position position etc..
In the present embodiment, the land character type launched vertex type and refer to release position position affiliated area, specifically
It may include：Inhabitation, education, administration, hinge, Gongjian, stroll about or have a rest, industry, synthesis etc..
Sub-step S118, the pretreatment operation of data cleansing is carried out to the bicycle information data of importing.
Sub-step S119, map datum is imported, establishes coordinate system, the bicycle included to the bicycle information data of importing
Gps data carries out coordinate transformation, and coordinate matching is carried out on the basis of the coordinate system of map.
In the present embodiment, sub-step S118 and sub-step S119 and above-mentioned sub-step S114, sub-step S115 sub-steps
S116 operation is similar, and the description as described in sub-step S118 and sub-step S119 can refer to above-mentioned sub-paragraphs S114, sub-step
S115 sub-steps S116 description.
Referring to Fig. 2, methods described also includes：
Step S130, target cycling trip situation is obtained to the initial data progress signature analysis of the target bicycle
Analysis result, operation assessment is carried out to the initial data of the target bicycle, obtains commenting for target bicycle traffic-operating period
Estimate result.
Fig. 5 is refer to, Fig. 5 is the sub-step flow chart of the step S130 shown in Fig. 2 that first embodiment of the invention provides
One of.The step S130 includes：Sub-step S131, sub-step S132, sub-step S133 and sub-step S134.
Sub-step S131, travel intensity and the signature analysis of scale are carried out to the initial data of target bicycle, obtained pair
The analysis result answered.
In the present embodiment, the computing device 100, which carries out travel intensity and the mode of the signature analysis of scale, includes：Base
The travel intensity and scale of target bicycle are analyzed in the target area of division, and based on time dimension to target from
The travel intensity and scale of driving are analyzed.
In the present embodiment, the computing device 100 can divide several target areas in advance, based on preset algorithm to target
Voluntarily car data is calculated the target in region, according to result of calculation analyze target area target bicycle travel intensity and
Scale.
In the present embodiment, the computing device 100 can also count from time dimension to target cycling trip amount
Analysis, can be analyzed the travel intensity of the target bicycle of different time sections and scale in one day, can also be to working day, section
The travel intensity and scale of the target bicycle of holiday are analyzed.
Sub-step S132, the signature analysis of trip spatial distribution is carried out to the initial data of target bicycle, obtained correspondingly
Analysis result.
In the present embodiment, the computing device 100 can enter from trip situation of the spatial distribution angle to target bicycle
Row analysis, obtains trip distribution situation, traffic trip amount (OD), the specific vehicle line of bicycle and the city of different zones voluntarily
The analysis results such as car road network dispatch.
Sub-step S133, the signature analysis of psychology travel time distribution is carried out to the initial data of target bicycle, obtained correspondingly
Analysis result.
In the present embodiment, the computing device 100 can carry out statistical to brushing card data and/or bicycle information data
Analysis, analysis obtain the characteristic state of the psychology travel time distribution of public bicycles and/or shared bicycle.
Sub-step S134, the signature analysis of commuter is carried out to the initial data of target bicycle, obtains corresponding point
Analyse result.
In the present embodiment, the computing device 100 can carry out statistical analysis from commuter angle to initial data, obtain
To the analysis result of the commuter feature of target bicycle, the commuter feature can include：The distance of commuter
Distribution characteristics, time-consuming distribution characteristics of commuter etc..Wherein, the commuter refers to the workaday peak hour in one week
Period repeats the trip (such as trip on and off duty, school commuting) of identical terminal.
Fig. 6 is refer to, Fig. 6 is the sub-step flow chart of the step S130 shown in Fig. 2 that first embodiment of the invention provides
Two.The step S130 includes：Sub-step S136 and sub-step S137.
Sub-step S136, statistical analysis is carried out to the initial data of target bicycle, assess shared bicycle release position and/
Or the layout scenarios of public bicycles site.
In the present embodiment, the computing device 100 can carry out statistical analysis to initial data, assess different types of throwing
Put a little and/or whether distribution situation is reasonable, release position and/or distribution are adjusted with being provided according to assessment result
The suggestion of planning.
Sub-step S137, counting statistics is carried out to the initial data of the target bicycle, assess shared bicycle and launch
Point and/or the running scheduling situation of public bicycles site.
In the present embodiment, the running scheduling situation of the site can include, but are not limited to：The turnover rate situation of site
And the parking rate situation of site.Wherein, the turnover rate of site refers in preset time, and vehicle number and parking stall number are left in the site
Ratio.The parking rate of site refers in preset time, the ratio of the site parked vehicles number and parking stall number.When described default
Between can be set according to the actual requirements.
In the present embodiment, the computing device 100 can be according to release position and/or the assessment knot of site running scheduling situation
Fruit adjusts suggestion corresponding to providing.
Illustrated below by taking the site of public bicycles as an example.
For example, residential and the site flow of the people of Gongjian's class are larger, site turnover rate is higher, can suitably increase these types
The car locking post of site.For the relatively low region of site turnover rate, the car locking post quantity of site can be suitably reduced.For parking rate compared with
Low site, it can be adjusted by setting up site or strengthening the measure of vehicle scheduling.For the higher site of parking rate, can increase
If the car locking post quantity of site or the vehicle scheduling for strengthening peak period.
Refer to Fig. 7, Fig. 7 be the vehicle data analysis method that first embodiment of the invention provides step flow chart it
Two.Methods described also includes：Step S120 and step S140.
In the present embodiment, the computing device 100 can provide different display interfaces, including：Chart display interface and
GIS (Geographic Information System) display interface etc..
Step S120, the initial data of the target bicycle by pretreatment is shown.
In the present embodiment, the computing device 100 can be by the chart display interface to the chart by pretreatment
The initial data of type shown, such as, brushing card data table, site information data table and membership information tables of data；Bicycle
Information data table, release position information data table.The computing device 100 can be by the GIS display interfaces to by pre-processing
The initial data of GIS map type shown, such as, the network point distribution data of OSM maps are imported into by coordinate transformation
Information and/or release position distributed data information.
Step S140, to the target cycling trip situation by signature analysis and by runing the target bicycle assessed
The analysis result of traffic-operating period is shown.
In the present embodiment, the computing device 100 can by the chart display interface to by signature analysis and/or
The analysis result of subtype assessed is runed to be shown, such as, psychology travel time distribution statisticses figure/table, commuter distance
Statistical chart/table, site turnover rate statistical chart/table and site parking rate statistical chart/table etc..The computing device 100 can pass through institute
GIS display interfaces are stated to show the analysis result by signature analysis and/or the GIS map type of operation assessment, such as,
The average turnover rate in each site or distribution thermodynamic chart of average parking rate, the working day or early late peak travelling OD figure of festivals or holidays
Deng.
Second embodiment
Fig. 8 is refer to, Fig. 8 is the functional module for the cycling trip analysis system 200 that second embodiment of the invention provides
Figure.The system is applied to above-mentioned computing device 100.The cycling trip analysis system 200 includes：Data import modul
210 and data analysis evaluation module 220.
Data import modul 210, for importing the initial data of target bicycle, the initial data of importing is located in advance
Reason, wherein, the initial data of the target bicycle includes：The original of the initial data of public bicycles and/or shared bicycle
Beginning data.
In the present embodiment, data import modul 210 is used to perform the step S110 in Fig. 2, is imported on the data
The specific descriptions of module 210 are referred to the description of step S110 in Fig. 2.
Data analysis evaluation module 220, mesh is obtained for carrying out signature analysis to the initial data of the target bicycle
The analysis result of cycling trip situation is marked, operation assessment is carried out to the initial data of the target bicycle, obtains target certainly
The assessment result of driving traffic-operating period.
Fig. 9 is refer to, Fig. 9 is the function for the submodule of data analysis evaluation module 220 that second embodiment of the invention provides
Module map.Data analysis evaluation module 220 includes：Data analysis submodule 222 and data assessment submodule 224.
In the present embodiment, data analysis submodule 222 is used to perform sub-step S131, sub-step S132, the son in Fig. 5
Step S133 and sub-step S134, the specific descriptions on the data analysis submodule 222 are referred to step in Fig. 5
S131, sub-step S132, sub-step S133 and sub-step S134 description.
In the present embodiment, data assessment submodule 224 is used to perform the sub-step S136 and sub-step S137 in Fig. 6,
Specific descriptions on the data assessment submodule 224 are referred to the description of sub-step S136 and sub-step S137 in Fig. 6.
Referring once again to Fig. 8, the system also includes：Data disaply moudle 230.
The data disaply moudle 230, for being shown to the initial data of the target bicycle by pretreatment.
The data disaply moudle 230, it is additionally operable to the target cycling trip situation by signature analysis and by fortune
The analysis result for seeking the target bicycle traffic-operating period assessed is shown.
In the present embodiment, data disaply moudle 230 is used to perform the step S120 and step S140 in Fig. 7, on institute
The specific descriptions for stating data disaply moudle 230 are referred to the description of step S120 and step S140 in Fig. 7.
In summary, present pre-ferred embodiments provide a kind of cycling trip analysis method and system.Methods described should
For computing device, the trip situation that methods described is used for target bicycle is analyzed, wherein, the target bicycle bag
Include：Shared bicycle and the public bicycles for being configured with car locking post site, methods described include：Import the original of target bicycle
Data, the initial data of importing is pre-processed, wherein, the initial data of the target bicycle includes：Public bicycles
Initial data and/or shared bicycle initial data.The initial data progress signature analysis of the target bicycle is obtained
To the analysis result of target cycling trip situation, operation assessment is carried out to the initial data of the target bicycle, obtains mesh
Mark the assessment result of bicycle traffic-operating period.
Thereby, it is possible to carry out analyzing and assessing to target bicycle initial data from many aspects comprehensively, data analysis effect
Rate is high, scope is wide.Can be public for city according to the analysis result of target cycling trip situation and the assessment result of traffic-operating period
The follow-up developments of traffic system and planning construction provide reference.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (10)
1. a kind of cycling trip analysis method, applied to computing device, it is characterised in that methods described is used for target voluntarily
The trip situation of car is analyzed, wherein, the target bicycle includes：Shared bicycle and the public affairs for being configured with car locking post site
Bicycle, methods described include altogether：
The initial data of target bicycle is imported, the initial data of importing is pre-processed, wherein, the target bicycle
Initial data includes：The initial data of the initial data of public bicycles and/or shared bicycle；
The analysis result of target cycling trip situation is obtained to the initial data progress signature analysis of the target bicycle, it is right
The initial data of the target bicycle carries out operation assessment, obtains the assessment result of target bicycle traffic-operating period.
2. according to the method for claim 1, it is characterised in that the initial data for importing target bicycle, to importing
The mode that is pre-processed of initial data include：
The initial data of public bicycles is imported, the initial data of the public bicycles of importing is pre-processed, wherein, it is described
The initial data of public bicycles includes：Brushing card data, site information data, membership information data and map datum；And/or：
The initial data of shared bicycle is imported, the initial data of the shared bicycle of importing is pre-processed, wherein, it is described
The initial data of shared bicycle includes：Bicycle information data, release position information data and map datum.
3. according to the method for claim 1, it is characterised in that the initial data to the target bicycle carries out special
The step of sign analysis obtains the analysis result of target cycling trip situation includes：
Travel intensity and the signature analysis of scale are carried out to the initial data of target bicycle, obtain corresponding analysis result, its
In, the travel intensity and the mode of the signature analysis of scale of carrying out includes：Based on the target area of division to target bicycle
Travel intensity and scale analyzed, and the travel intensity and scale of target bicycle are divided based on time dimension
Analysis；
The signature analysis of trip spatial distribution is carried out to the initial data of target bicycle, obtains corresponding analysis result；
The signature analysis of psychology travel time distribution is carried out to the initial data of target bicycle, obtains corresponding analysis result；
The signature analysis of commuter is carried out to the initial data of target bicycle, obtains corresponding analysis result.
4. according to the method for claim 1, it is characterised in that the initial data to the target bicycle is transported
The step of seeking and assess, obtaining the assessment result of target bicycle traffic-operating period includes：
Statistical analysis is carried out to the initial data of target bicycle, assesses shared bicycle release position and/or public bicycles net
The layout scenarios of point；
Counting statistics is carried out to the initial data of the target bicycle, assess shared bicycle release position and/or it is public voluntarily
The running scheduling situation of car site, wherein, the running scheduling situation of the public bicycles site includes：Public bicycles site
Turnover rate situation and parking rate situation.
5. according to the method described in claim 1-4 any one, it is characterised in that methods described also includes：
The initial data of target bicycle by pretreatment is shown；
To the target cycling trip situation by signature analysis and point for the target bicycle traffic-operating period assessed by operation
Analysis result is shown.
6. according to the method for claim 5, it is characterised in that the computing device includes：Chart display interface and GIS show
Show interface；
The mode that the initial data of the described pair of target bicycle by pretreatment is shown includes：
The initial data of the subtype by pretreatment is shown by the chart display interface；
The initial data of the GIS map type by pretreatment is shown by the GIS display interfaces；
The analysis of the described pair of target cycling trip situation and the site traffic-operating period assessed by operation by signature analysis
As a result the mode shown includes：
Shown by the analysis result of subtype of the chart display interface to being assessed by signature analysis and/or operation
Show；
Carried out by the analysis result of GIS map type of the GIS display interfaces to being assessed by signature analysis and/or operation
Display.
7. a kind of cycling trip analysis system, applied to computing device, it is characterised in that the system is used for target voluntarily
The trip situation of car is analyzed, wherein, the target bicycle includes：Shared bicycle and the public affairs for being configured with car locking post site
Bicycle, the system include altogether：
Data import modul, for importing the initial data of target bicycle, the initial data of importing is pre-processed, its
In, the initial data of the target bicycle includes：The original number of the initial data of public bicycles and/or shared bicycle
According to；
Data analysis evaluation module, target bicycle is obtained for carrying out signature analysis to the initial data of the target bicycle
The analysis result of trip situation, operation assessment is carried out to the initial data of the target bicycle, obtains target bicycle operation
The assessment result of situation.
8. system according to claim 7, it is characterised in that the data analysis evaluation module includes：Data analysis
Module；
The data analysis submodule, for carrying out the feature point of travel intensity and scale to the initial data of target bicycle
Analysis, obtains corresponding analysis result, wherein, the travel intensity and the mode of the signature analysis of scale of carrying out includes：Based on draw
The target area divided is analyzed the travel intensity and scale of target bicycle, and based on time dimension to target bicycle
Travel intensity and scale analyzed；
The data analysis submodule, it is additionally operable to carry out the initial data of target bicycle the feature point of trip spatial distribution
Analysis, obtains corresponding analysis result；
The data analysis submodule, it is additionally operable to carry out the initial data of target bicycle the feature point of psychology travel time distribution
Analysis, obtains corresponding analysis result；
The data analysis submodule, it is additionally operable to carry out the initial data of target bicycle the signature analysis of commuter, obtains
To corresponding analysis result.
9. system according to claim 7, it is characterised in that the data analysis evaluation module also includes：Data assessment
Submodule；
The data assessment submodule, for carrying out statistical analysis to the initial data of target bicycle, assess shared bicycle
Release position and/or the layout scenarios of public bicycles site；
The data assessment submodule, it is additionally operable to carry out counting statistics to the initial data of target bicycle, assesses and share voluntarily
Car release position and/or the running scheduling situation of public bicycles site, wherein, the running scheduling feelings of the public bicycles site
Condition includes：The turnover rate situation of public bicycles site and the parking rate situation of site.
10. according to the system described in claim 7-9 any one, it is characterised in that the system also includes：
Data disaply moudle, for being shown to the initial data of the target bicycle by pretreatment；
The data disaply moudle, it is additionally operable to what is assessed to the target cycling trip situation by signature analysis and by operation
The analysis result of target bicycle traffic-operating period is shown.
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| CN201710874274.7A CN107657009A (en) | 2017-09-25 | 2017-09-25 | Cycling trip analysis method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710874274.7A CN107657009A (en) | 2017-09-25 | 2017-09-25 | Cycling trip analysis method and system |
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| CN107657009A true CN107657009A (en) | 2018-02-02 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222893A (en) * | 2019-06-06 | 2019-09-10 | 武汉元光科技有限公司 | Dispensing location recommendation method, device and the electronic equipment of shared traffic resource |
| CN111080116A (en) * | 2019-12-11 | 2020-04-28 | 东南大学 | Cooperative scheduling method for shared bicycle and public bicycle |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850900A (en) * | 2015-04-27 | 2015-08-19 | 北京工业大学 | Public bicycle system branch layout optimization complete set method |
| US20160156740A1 (en) * | 2008-05-14 | 2016-06-02 | International Business Machines Corporation | Trigger event based data feed of virtual universe data |
| CN106251495A (en) * | 2016-08-08 | 2016-12-21 | 滁州学院 | The management system of a kind of portable city public bicycle and dispatching method |
| CN106296350A (en) * | 2016-08-04 | 2017-01-04 | 杭州电子科技大学 | A kind of visual analyzing city public bicycle system borrows the method for also pattern |
| CN107085229A (en) * | 2017-05-22 | 2017-08-22 | 李娜 | Collecting method |
| CN107154006A (en) * | 2017-05-05 | 2017-09-12 | 陈树铭 | The shared controlled map of website of bicycle is with positioning and servicing big data system |
-
2017
- 2017-09-25 CN CN201710874274.7A patent/CN107657009A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160156740A1 (en) * | 2008-05-14 | 2016-06-02 | International Business Machines Corporation | Trigger event based data feed of virtual universe data |
| CN104850900A (en) * | 2015-04-27 | 2015-08-19 | 北京工业大学 | Public bicycle system branch layout optimization complete set method |
| CN106296350A (en) * | 2016-08-04 | 2017-01-04 | 杭州电子科技大学 | A kind of visual analyzing city public bicycle system borrows the method for also pattern |
| CN106251495A (en) * | 2016-08-08 | 2016-12-21 | 滁州学院 | The management system of a kind of portable city public bicycle and dispatching method |
| CN107154006A (en) * | 2017-05-05 | 2017-09-12 | 陈树铭 | The shared controlled map of website of bicycle is with positioning and servicing big data system |
| CN107085229A (en) * | 2017-05-22 | 2017-08-22 | 李娜 | Collecting method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222893A (en) * | 2019-06-06 | 2019-09-10 | 武汉元光科技有限公司 | Dispensing location recommendation method, device and the electronic equipment of shared traffic resource |
| CN110222893B (en) * | 2019-06-06 | 2021-11-16 | 武汉元光科技有限公司 | Method and device for recommending delivery places of shared traffic resources and electronic equipment |
| CN111080116A (en) * | 2019-12-11 | 2020-04-28 | 东南大学 | Cooperative scheduling method for shared bicycle and public bicycle |
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