CN112330205B - Shared bicycle release position analysis system based on big data - Google Patents

Shared bicycle release position analysis system based on big data Download PDF

Info

Publication number
CN112330205B
CN112330205B CN202011337968.5A CN202011337968A CN112330205B CN 112330205 B CN112330205 B CN 112330205B CN 202011337968 A CN202011337968 A CN 202011337968A CN 112330205 B CN112330205 B CN 112330205B
Authority
CN
China
Prior art keywords
module
road section
vehicle
vehicles
uphill
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.)
Active
Application number
CN202011337968.5A
Other languages
Chinese (zh)
Other versions
CN112330205A (en
Inventor
詹桂亭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yueqing chenzhuo Electric Co., Ltd
Original Assignee
Yueqing Chenzhuo Electric Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Yueqing Chenzhuo Electric Co Ltd filed Critical Yueqing Chenzhuo Electric Co Ltd
Priority to CN202011337968.5A priority Critical patent/CN112330205B/en
Publication of CN112330205A publication Critical patent/CN112330205A/en
Application granted granted Critical
Publication of CN112330205B publication Critical patent/CN112330205B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Remote Sensing (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a big data-based shared bicycle throwing position analysis system, which comprises an electronic map module, a road section acquisition module, a three-dimensional model module, an area screening module, a vehicle repair reporting module, a GPS (global positioning system) positioning module, an area dividing module and a computer processing and analyzing module, and has the beneficial effects that: whether a single vehicle release point is set on the uphill and downhill road section is determined according to the riding laboriousness, public transportation path station positions separated from an office area, a residential area and a commercial area by a certain distance are screened, and then the single vehicle release points are set at the positions to solve the main obstacle of urban residents in public transportation trip, and in addition, the total release amount of the next time is estimated through the user number and the current release vehicle number, so that the release of the vehicles is dynamically adjusted, the vehicle circulation is increased, the single vehicle utilization rate is maximized, the problem that the damaged vehicles are accumulated and the use requirements of users cannot be met is solved.

Description

Shared bicycle release position analysis system based on big data
Technical Field
The invention relates to the technical field of public transportation, in particular to a shared bicycle throwing position analysis system based on big data.
Background
The sharing single-vehicle enterprise provides services in campuses, subway stations, bus stations, residential areas, commercial areas, public service areas and the like, completes the last 'jigsaw puzzle' in the transportation industry, drives residents to use enthusiasm of other public transportation means, and generates a synergistic effect with other public transportation modes.
Along with the rapid development of the shared bicycle, great convenience is brought to the life trip of people, a plurality of new problems are brought, the enthusiasm of the shared bicycle rises, and then more and more enterprises are added to a large family of the shared bicycle at a glance, so that the problems of blindly expanding the number of the shared bicycle, disorder of industries and disordered competition of the market industries are caused, the problem of disorderly parking and disorderly releasing is caused by the increase of the number, the shared bicycle occupies the road, the trip of people is influenced, the problems brought by the shared bicycle are increasingly prominent due to higher and higher use frequency, the original intention of the shared bicycle industry at first is violated, a plurality of troubles are made for the life of people, the releasing position of the shared bicycle does not have a good scientific basis, some vehicles in the releasing area can be parked for a long time without being used by people, and the number of the bicycles in the releasing area is obviously insufficient, the circulation of the vehicle is poor, the vehicle that unmanned use was used for a long time also can be scrapped with higher speed, loses its value, occupies the parking area for a long time simultaneously, and the social resource is wasted, and a large amount of vehicles face the problem that damages but can't change in time and repair, lead to the problem vehicle to pile up, seriously threaten user's personal safety, and can't satisfy user's user demand.
Based on the above problems, it is highly desirable to provide a system for analyzing the delivery location of a shared bicycle based on big data to solve the above problems, based on the problem of the delivery location of a bicycle, by calculating the slope of the uphill and downhill of a road during travel, further calculating the riding intensity from the slope, determining whether to set a delivery point of a bicycle on the uphill and downhill road sections according to the riding intensity, screening the locations of public transportation route stations separated from an office area, a residential area, and a commercial area by a certain distance, and further setting the delivery points of the bicycle at these locations, so as to solve the problem that the public transportation stations, the office area, the residential area, and the commercial area are separated by a long distance and the shared bicycle needs to be used, solve the main obstacles of urban residents to travel by public transportation, and estimate the total number of next deliveries by the number of users and the number of currently delivered vehicles, thereby dynamically adjusting the delivery number of vehicles, the vehicle circulation is increased, the bicycle utilization rate is maximized, the number of supplementary releases in the next release is determined according to the original number basis and the bicycle maintenance rate by determining the shared bicycle maintenance rate of a release area, and the use requirement of a user is met.
Disclosure of Invention
The invention aims to provide a shared bicycle throwing position system based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
a shared single-vehicle delivery position analysis system based on big data comprises an electronic map module, a road section acquisition module, a three-dimensional model module, a region screening module, a vehicle repair reporting module, a GPS positioning module, a region dividing module and a computer processing and analyzing module, wherein the electronic map module is used for storing map information, the road section acquisition module acquires an ascending and descending road section through the electronic map module, the three-dimensional model module establishes a three-dimensional model according to the acquired ascending and descending road section, the region screening module is used for screening public transport, BRT or subway approach stations which are separated from an office area, a residential area and a commercial area by a certain distance, the vehicle repair reporting module is used for acquiring repair records of vehicles and acquiring real-time parking positions of the repaired vehicles through the GPS positioning module, the GPS positioning module is used for acquiring real-time parking positions of single vehicles, and the region dividing module divides the parking regions according to the parking positions of the single vehicles, the computer processing and analyzing module is used for calculating user continuous rates and monthly new user growth rates and calculating the number of single vehicles in each parking area according to the single vehicle parking areas of the area division module and the parking positions of the single vehicles, and the computer processing and analyzing module is used for calculating the single vehicle repair rate in the parking area according to the vehicle repair report records of the vehicle repair report module and the parking areas divided by the area division module.
Further, the computer processing and analyzing module takes a slope bottom point and a first plane where the slope top point is located and uses the slope bottom point as a coordinate system origin to establish a rectangular coordinate system, the first plane is perpendicular to the ground, an x axis of the rectangular coordinate system is a straight line passing through the origin and parallel to a horizontal road surface, a y axis of the rectangular coordinate system is a straight line passing through the origin and perpendicular to the x axis, the computer processing and analyzing module obtains a slope top point coordinate and calculates a slope of a downhill road section, the position of a point to be observed can be determined after the rectangular coordinate system is established, and then coordinate data of the point is processed to solve various problems related to the point, so that the computer processing and analyzing module is visual and convenient, like the rectangular coordinate system in the invention, the position corresponding to the slope bottom point and the slope top point can be visually obtained, further, the distance between the two coordinates can be calculated, and further, an included angle between a connecting line and the horizontal direction between the two coordinates can be calculated, and obtaining the gradient.
Furthermore, the riding laboriousness corresponding to the uphill and downhill road section is estimated by calculating the gradient of the uphill and downhill road section, and the riding laboriousness calculation formula is as follows:
Figure BDA0002797727010000021
wherein p is the riding laboriousness, y is the vertical height of the uphill and downhill road section, x is the horizontal distance of the uphill and downhill road section,
Figure BDA0002797727010000022
the method is characterized in that the slope is L, the straight-line distance from a bottom point of the slope to a top point of the slope is L, when the riding laboriousness is larger than a threshold value, a bicycle is not thrown in any slope section of an uphill road section, the bicycle can be thrown in any road section of a downhill road section, the riding laboriousness of the uphill road section is calculated through the slope, the slope is the steepness degree of a ground surface unit, the ratio of the vertical height of a slope surface to the distance is generally called as the slope, the laboriousness degree of riding on the corresponding slope surface is calculated through the slope and the slope length, namely the straight-line distance from the bottom point of the slope to the top point of the slope, the laboriousness degree of riding on the corresponding slope surface is not accurate enough according to the slope, therefore, the parameter of the slope length is introduced, if the slope of a first slope is larger than the slope of a second slope, but the slope length of the first slope is smaller than the slope of the second slope, and at the moment, the laboriousness degree of riding laboriousness degree of the first slope can not be estimated according to the variable parameter of the slope, the method is also related to the riding distance, namely the slope length, the slope length of the second slope is only a little longer than that of the first slope, and the slope length of the first slope is only a little larger than that of the second slope or is far larger than that of the second slope, so that even if the slope lengths of the first slope and the second slope are equal, the slope lengths of the first slope and the second slope are different, the corresponding riding intensity is naturally different, the slope length is also an important factor, and the estimated result can be more accurate only by considering the slope length and the slope.
Further, the computer processing and analyzing module calculates the next month user number E according to the user continued rate a, the current month user number B, the current month new user number C and the new user growth rate D, and the calculation formula is as follows:
E=A*B+C*(1+D)
estimating a first pre-release total number G of the next month of the single cars according to the calculated number E of the next month of the users and the user overflow F, wherein G is E + F, determining the number of the members to be opened in the next month according to the user renewal rate, the new number of the users comprises the newly increased number of the members to be opened, the number of the users who do not open the members but use the vehicles in the next month of the users is overflowed, the total number of the users who use the single cars in the next month can be estimated through calculation, the total number of the users corresponds to the number of the released single cars, quantitative release can be achieved, the blind expansion problem of the release number of the single cars is controlled, and part of public areas are released.
The computer processing and analyzing module calculates the number of the single vehicles in each parking area according to the parking area division, calculates the number N of the single vehicles in the parking area in the next month according to the vehicle repair report records in the parking area, wherein M is the number of the single vehicle releases in the parking area in the current month, and q is the single vehicle repair rate in the parking area in the current month.
Further, the second pre-throwing total quantity of the single vehicles in the next month is calculated by calculating the pre-throwing quantity of the single vehicles in each parking area, and the calculation formula is as follows:
Q=N1+N2+N3+…+Ni-1+Ni
Ni=Mi*(1+qi)
wherein Q is the total number of second pre-throwing of the next month single vehicle, NiThe number of pre-delivery of the next month single cars in the ith parking area, MiThe number of released current monthly bicycles in the ith parking area, qiDetermining each parking zone by parking zone division for the single vehicle maintenance rate in the ith parking zone of the current monthAnd determining the supplementary launching number of the next single vehicle launching according to the maintenance rate of the single vehicle maintenance rate in the region, and calculating the sum of the next vehicle launching number of all parking regions.
Further, the computer processing and analyzing module respectively estimates a first pre-release total number G and a second pre-release total number Q according to the number of users and the number of the bicycles, and obtains a final release total number J of the next month of the bicycles by further calculation, wherein the calculation formula is as follows:
J=ɑ1*G+ɑ2*Q
ɑ12=1
wherein, alpha1And alpha2The number is a weight coefficient, J is the final total number of released vehicles in the next month, only the total number of estimated users in the next month or the total number of released vehicles determined by the maintenance rate of the vehicles cannot acquire an accurate released value, because both are dynamically changed quantities, only considering the problem that one vehicle is certainly overflowed or the vehicle is scarce, the vehicle is overflowed to cause disorder parking and random release, and occupies a large number of public areas, the vehicle scarce can not meet the daily use requirements of people, the traveling of people is influenced, only considering the weight coefficients of the two, the value obtained by weighted average calculation is the optimal solution which is closest to the current market requirements and can not cause many problems.
Furthermore, the regional screening module acquires the station positions of public transportation routes at certain distances from the office area, the residential area and the commercial area according to the position information of the GPS positioning module, the public transportation station positions are first important positions, the number of the first important positions in each parking area is counted, the first important positions are set as single-vehicle release points, the problem that shared single vehicles need to be used when the public transportation stations are far away from the office area, the residential area and the commercial area is solved, main obstacles of urban residents who adopt public transportation to go out are removed, people are promoted to use a green trip mode, the environment is protected, and body exercise is strengthened.
Furthermore, the computer processing and analyzing module obtains the final total number of released vehicles in the next month through calculation, obtains the ratio of the number of vehicles in each parking area in the current month to the total number of released vehicles in the current month through calculation, calculates the released number of vehicles in each parking area in the next month according to the current month ratio, and reasonably plans the released number to be the basis for solving a plurality of problems.
Furthermore, when the first important position is separated from an up-down slope road section by a certain distance, the riding laboriousness of the up-down slope road section is calculated through the computer processing and analyzing module, if the riding laboriousness of the up-down slope road section is smaller than a threshold value, a single-vehicle throwing point can be set at any position between the first important position and the bottom point of the up-down slope road section, if the riding laboriousness of the up-down slope road section is larger than the threshold value, a single-vehicle throwing point is set at the top point of the slope of the up-down slope road section, and the problem that the single-vehicle throwing point is set on the up-down slope road section is reasonably planned through calculating the riding laboriousness.
Compared with the prior art, the invention has the following beneficial effects: the invention calculates the slope of the uphill and downhill in the process of road traveling, further calculates the riding laboriousness by the slope, determines whether to set single vehicle throwing points on the uphill and downhill road sections according to the riding laboriousness, screens public transportation path station positions with certain distances from an office area, a residential area and a commercial area, further sets the single vehicle throwing points at the positions so as to solve the problem that the public transportation station has long distance from the office area, the residential area and the commercial area and needs to use shared single vehicles, solves the main obstacle of city residents in public transportation travel, and further estimates the total throwing quantity of the users and the current throwing quantity of the thrown vehicles at the next time, thereby dynamically adjusting the throwing quantity of the vehicles, increasing the vehicle circulation, maximizing the utilization rate of the single vehicles, and determining the maintenance rate of the shared single vehicles in a throwing area, and determining the supplementary input quantity in the next input according to the original quantity basis and the single-vehicle overhaul rate so as to meet the use requirements of users.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic block diagram of a big data-based shared bicycle drop location analysis system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution:
a shared single-vehicle delivery position analysis system based on big data comprises an electronic map module, a road section acquisition module, a three-dimensional model module, a region screening module, a vehicle repair reporting module, a GPS positioning module, a region dividing module and a computer processing and analyzing module, wherein the electronic map module is used for storing map information, the road section acquisition module acquires an ascending road section and a descending road section through the electronic map module, the three-dimensional model module establishes a three-dimensional model according to the acquired ascending road section and the descending road section, the region screening module is used for screening bus, BRT or subway approach stations which are separated from an office area, a residential area and a commercial area by a certain distance, the vehicle repair reporting module is used for acquiring repair records of vehicles and acquiring real-time parking positions of repaired vehicles through the GPS positioning module, the GPS positioning module is used for acquiring real-time parking positions of single vehicles, and the region dividing module divides parking regions according to the parking positions of the single vehicles, the computer processing and analyzing module is used for calculating user renewal rate, new user growth rate per month and the number of single vehicles in each parking area according to the single vehicle parking areas of the area division module and the parking positions of the single vehicles, and the computer processing and analyzing module is used for calculating the single vehicle repair rate in the parking area according to the vehicle repair report records of the vehicle repair report module and the parking areas divided by the area division module.
The computer processing and analyzing module takes a slope bottom point and a first plane where the slope top point is located and uses the slope bottom point as a coordinate system origin to establish a rectangular coordinate system, the first plane is perpendicular to the ground, an x axis of the rectangular coordinate system is a straight line passing through the origin and being parallel to a horizontal road surface, a y axis of the rectangular coordinate system is a straight line passing through the origin and being perpendicular to the x axis, and the computer processing and analyzing module obtains a slope top point coordinate and calculates the gradient of an upper downhill section.
Estimating the riding laboriousness corresponding to the uphill and downhill road section by calculating the gradient of the uphill and downhill road section, wherein the riding laboriousness calculation formula is as follows:
Figure BDA0002797727010000061
wherein p is the riding laboriousness, y is the vertical height of the uphill and downhill road section, x is the horizontal distance of the uphill and downhill road section,
Figure BDA0002797727010000062
and when the riding intensity is greater than a threshold value, no bicycle is thrown in any slope section of the uphill road section, and a bicycle can be thrown in any road section of the downhill road section.
The corresponding riding laboriousness of the road section is calculated by selecting an up-down slope road section at present, the vertical height y of the road section is 2m, the horizontal distance x is 30m, the linear distance L is 100m, the corresponding slope is 6.7% through calculation, and then the riding laboriousness corresponding to the up-down slope road section is 6.7%.
The computer processing and analyzing module calculates the number E of the users in the next month according to the user continuation rate A, the number B of the users in the current month, the number C of the new users in the current month and the growth rate D of the new users, and the calculation formula is as follows:
E=A*B+C*(1+D)
and estimating the first pre-release total quantity G of the next month single cars according to the calculated user quantity E and user overflow F of the next month, wherein G is E + F.
If the user continuation rate is 50%, the number of users in the current month is 20 ten thousand, the number of new users in the current month is 6 ten thousand, the growth rate of the new users is 25%, the user overflow F is 3 ten thousand, and the first total number G of releases per vehicle in the next month is obtained by the following calculation:
E=200000*50%+60000*(1+25%)
G=E+30000
the total number G of the first single-vehicle first-release in the next month is 205000.
The further computer processing and analyzing module calculates the number of the single vehicles in each parking area according to the parking area division, and then calculates the number N of the single vehicles pre-thrown in the parking area in the next month according to the vehicle repair record in the parking area, where M is the number of the single vehicles thrown in the parking area in the current month, q is the single vehicle repair rate in the parking area in the current month, the number of the single vehicles thrown in the current month in the current parking area is 500, the single vehicle repair rate in the parking area is 30%, and then the number N of the single vehicles thrown in the parking area in the next month is 500 (1+ 30%), that is, the number of the single vehicles thrown in the parking area in the next month is 650.
Calculating the second pre-throwing total quantity of the single cars in the next month by calculating the pre-throwing quantity of the single cars in each parking area, wherein the calculation formula is as follows:
Q=N1+N2+N3+…+Ni-1+Ni
Ni=Mi*(1+qi)
wherein Q is the total number of second pre-throwing of the next month single vehicle, NiThe number of pre-delivery of the next month single cars in the ith parking area, MiThe number of released current monthly bicycles in the ith parking area, qiThe maintenance rate of the single vehicle in the ith parking area of the current month.
The computer processing and analyzing module respectively estimates a first pre-throwing total quantity G and a second pre-throwing total quantity Q according to the number of users and the number of the single cars, and the final throwing total quantity J of the single cars in the next month is obtained through further calculation, wherein the calculation formula is as follows:
J=ɑ1*G+ɑ2*Q
ɑ12=1
wherein, alpha1And alpha2And J is the total final input quantity of the next month single vehicle, if the second pre-input quantity Q is 240000 vehicles, the first pre-input quantity G is 205000 quantities and alpha is obtained through calculation1=0.6,ɑ2And when the number of the next month single vehicles in the next month is 0.4, the final throwing amount J is 205000 × 0.6+240000 × 0.4, and the number of the next month single vehicles in the next month is 219000, namely 219000.
The region screening module acquires station positions of public transportation routes at certain distances from an office region, a residential region and a commercial region according to the position information of the GPS positioning module, the public transportation station positions are first important positions, the number of the first important positions in each parking region is counted, and the first important positions are set as single-vehicle delivery points.
And the computer processing and analyzing module obtains the final release total number of the single vehicles in the next month through calculation, obtains the ratio of the number of the vehicles in each parking area in the current month to the release total number in the current month through calculation, and calculates the release number of the single vehicles in each parking area in the next month according to the current month ratio.
When the first important position is separated from an uphill and downhill road section by a certain distance, the riding laboriousness of the uphill and downhill road section is calculated through the computer processing and analyzing module, if the riding laboriousness of the uphill and downhill road section is smaller than a threshold value, a single-vehicle throwing point can be set at any position between the first important position and the bottom point of the uphill and downhill road section, and if the riding laboriousness of the uphill and downhill road section is larger than the threshold value, a single-vehicle throwing point is set at the top point of the uphill and downhill road section.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (1)

1. The utility model provides a sharing bicycle puts in position analytic system based on big data which characterized in that: the system comprises an electronic map module, a road section acquisition module, a three-dimensional model module, a region screening module, a vehicle repair reporting module, a GPS positioning module, a region dividing module and a computer processing and analyzing module, wherein the electronic map module is used for storing map information, the road section acquisition module acquires an uphill and downhill road section through the electronic map module, the three-dimensional model module establishes a three-dimensional model according to the acquired uphill and downhill road section, the region screening module is used for screening public transport, BRT or subway approach stations which are separated from an office area, a residential area and a commercial area by a certain distance, the vehicle repair reporting module is used for acquiring repair records of vehicles and acquiring real-time parking positions of the repaired vehicles through the GPS positioning module, the GPS positioning module is used for acquiring real-time parking positions of single vehicles, and the region dividing module divides the parking regions according to the parking positions of the single vehicles, the computer processing and analyzing module is used for calculating user continuous rates, new user growth rate per month and the number of single vehicles in each parking area according to the single vehicle parking areas of the area division module and the parking positions of the single vehicles, and calculating the single vehicle repair rate in the parking area according to the vehicle repair record of the vehicle repair module and the parking areas divided by the area division module;
the computer processing and analyzing module is used for establishing a rectangular coordinate system by taking a slope bottom point and a first plane where the slope top point is located and taking the slope bottom point as a coordinate system origin, the first plane is vertical to the ground, an x axis of the rectangular coordinate system is a straight line passing through the origin and parallel to a horizontal road surface, a y axis of the rectangular coordinate system is a straight line passing through the origin and vertical to the x axis, and the computer processing and analyzing module is used for obtaining a slope top point coordinate and calculating the slope of a downhill section;
estimating the riding laboriousness corresponding to the uphill and downhill road section by calculating the gradient of the uphill and downhill road section, wherein the riding laboriousness calculation formula is as follows:
Figure FDA0003064291620000011
wherein p is the riding laboriousness, y is the vertical height of the uphill and downhill road section, x is the horizontal distance of the uphill and downhill road section,
Figure FDA0003064291620000012
when the riding intensity is larger than the threshold value, no bicycle is thrown in any slope section of the uphill road section, and a bicycle can be thrown in any road section of the downhill road section;
the computer processing and analyzing module calculates the number E of the users in the next month according to the user continued rate A, the number B of the users in the current month, the number C of the new users in the current month and the growth rate D of the new users, and the calculation formula is as follows:
E=A*B+C*(1+D)
estimating a first pre-release total quantity G of the next-month single cars according to the calculated user quantity E and user overflow F of the next month, wherein G is E + F;
the computer processing and analyzing module calculates the number of the single vehicles in each parking area according to the parking area division, and then calculates the number N (M (1 +) of the single vehicle pre-throwing in the parking area in the next month according to the vehicle repair record in the parking area
q), wherein M is the number of single vehicle releases in the parking area in the current month, and q is the maintenance rate of the single vehicles in the parking area in the current month;
calculating the second pre-throwing total quantity of the single cars in the next month by calculating the pre-throwing quantity of the single cars in each parking area, wherein the calculation formula is as follows:
Q=N1+N2+N3+…+Ni-1+Ni
Ni=Mi*(1+qi)
wherein Q is the total number of second pre-throwing of the next month single vehicle, NiThe number of pre-delivery of the next month single cars in the ith parking area, MiThe number of released current monthly bicycles in the ith parking area, qiThe maintenance rate of a single vehicle in the ith parking area of the current month is obtained;
the computer processing and analyzing module respectively estimates a first pre-throwing total quantity G and a second pre-throwing total quantity Q according to the number of users and the number of the single cars, and the final throwing total quantity J of the single cars in the next month is obtained through further calculation, wherein the calculation formula is as follows:
J=ɑ1*G+ɑ2*Q
ɑ12=1
wherein, alpha1And alpha2Taking the weight coefficient as the weight coefficient, and J is the total number of the single vehicles to be finally put in the next month;
the region screening module acquires station positions of public transportation routes at a certain distance from an office region, a residential region and a commercial region according to the position information of the GPS positioning module, wherein the station positions of the public transportation are first important positions, the number of the first important positions in each parking region is counted, and the first important positions are set as single-vehicle delivery points;
the computer processing and analyzing module obtains the final release total number of the single vehicles in the next month through calculation, obtains the ratio of the number of the vehicles in each parking area in the current month to the release total number in the current month through calculation, and calculates the release number of the single vehicles in each parking area in the next month according to the current month ratio;
when the first important position is separated from an uphill and downhill road section by a certain distance, the riding laboriousness of the uphill and downhill road section is calculated through the computer processing and analyzing module, if the riding laboriousness of the uphill and downhill road section is smaller than a threshold value, a single-vehicle throwing point can be set at any position between the first important position and the bottom point of the uphill and downhill road section, and if the riding laboriousness of the uphill and downhill road section is larger than the threshold value, a single-vehicle throwing point is set at the top point of the uphill and downhill road section.
CN202011337968.5A 2020-11-25 2020-11-25 Shared bicycle release position analysis system based on big data Active CN112330205B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011337968.5A CN112330205B (en) 2020-11-25 2020-11-25 Shared bicycle release position analysis system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011337968.5A CN112330205B (en) 2020-11-25 2020-11-25 Shared bicycle release position analysis system based on big data

Publications (2)

Publication Number Publication Date
CN112330205A CN112330205A (en) 2021-02-05
CN112330205B true CN112330205B (en) 2021-09-21

Family

ID=74308813

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011337968.5A Active CN112330205B (en) 2020-11-25 2020-11-25 Shared bicycle release position analysis system based on big data

Country Status (1)

Country Link
CN (1) CN112330205B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113268664A (en) * 2021-05-20 2021-08-17 中国联合网络通信集团有限公司 Sharing bicycle recommendation method and system, server and mobile terminal
CN115394010A (en) * 2022-08-24 2022-11-25 广西南宁小钻智能科技有限责任公司 Shared electric vehicle throwing system based on peak period of people stream
CN116957889B (en) * 2023-09-21 2024-02-27 深圳市智慧城市通信有限公司 Multi-source heterogeneous electric bicycle data fusion management system and method

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107358423A (en) * 2017-07-14 2017-11-17 吴联凯 A kind of message accounting and charging method of the shared bicycle based on slope change amount
CN107909731A (en) * 2017-10-23 2018-04-13 东南大学 Share bicycle Delivery Management System in a kind of city based on big data
CN108564257A (en) * 2018-03-23 2018-09-21 浙江工业大学 A kind of shared bicycle recovery method in the city based on GIS
CN108596727A (en) * 2018-04-26 2018-09-28 重庆邮电大学 A kind of management of shared bicycle and decision-making technique
CN108921371A (en) * 2018-05-15 2018-11-30 平安科技(深圳)有限公司 Method, device and equipment for releasing shared bicycle and computer readable storage medium
CN109285054A (en) * 2018-09-19 2019-01-29 山东建筑大学 A kind of shared bicycle charging method for encouraging user's scheduling
CN109300022A (en) * 2018-08-31 2019-02-01 胥圣洁 Resource share method, device and server applied to public transport
JP6537691B1 (en) * 2018-11-15 2019-07-03 株式会社Ye Digital Service providing apparatus and service providing system
CN111371882A (en) * 2020-02-28 2020-07-03 北京字节跳动网络技术有限公司 Data sharing and releasing control method and device, electronic equipment and computer readable medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108926A (en) * 2018-02-24 2018-06-01 成都杠上花信息技术有限公司 A kind of shared bicycle scheduling system and dispatching method based on big data
CN108416515A (en) * 2018-02-26 2018-08-17 武汉理工大学 Shared bicycle parking device launches method for measuring and calculating

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107358423A (en) * 2017-07-14 2017-11-17 吴联凯 A kind of message accounting and charging method of the shared bicycle based on slope change amount
CN107909731A (en) * 2017-10-23 2018-04-13 东南大学 Share bicycle Delivery Management System in a kind of city based on big data
CN108564257A (en) * 2018-03-23 2018-09-21 浙江工业大学 A kind of shared bicycle recovery method in the city based on GIS
CN108596727A (en) * 2018-04-26 2018-09-28 重庆邮电大学 A kind of management of shared bicycle and decision-making technique
CN108921371A (en) * 2018-05-15 2018-11-30 平安科技(深圳)有限公司 Method, device and equipment for releasing shared bicycle and computer readable storage medium
CN109300022A (en) * 2018-08-31 2019-02-01 胥圣洁 Resource share method, device and server applied to public transport
CN109285054A (en) * 2018-09-19 2019-01-29 山东建筑大学 A kind of shared bicycle charging method for encouraging user's scheduling
JP6537691B1 (en) * 2018-11-15 2019-07-03 株式会社Ye Digital Service providing apparatus and service providing system
CN111371882A (en) * 2020-02-28 2020-07-03 北京字节跳动网络技术有限公司 Data sharing and releasing control method and device, electronic equipment and computer readable medium

Also Published As

Publication number Publication date
CN112330205A (en) 2021-02-05

Similar Documents

Publication Publication Date Title
CN112330205B (en) Shared bicycle release position analysis system based on big data
Wirasinghe et al. Optimal parameters for a coordinated rail and bus transit system
CN108388970B (en) Bus station site selection method based on GIS
CN113962450B (en) Method and system for accounting daily carbon dioxide emission of urban road traffic
CN105868861A (en) Bus passenger flow evolution analysis method based on time-space data fusion
CN110210749B (en) Method for determining throwing amount and throwing position of linked and shared track stations
CN110136457A (en) Urban intersection group's coordination optimizing method based on microscopic traffic simulation
CN110033177A (en) Taxi high benefit intelligence collective dispatching algorithm based on GPS big data
CN111047858A (en) Method and device for determining OD (origin-destination) of bus passenger flow travel by fusion algorithm
CN114132363A (en) Train operation diagram compiling method based on passenger flow space-time state fine analysis
CN112150802B (en) Urban road grade division method based on ground bus running state reliability
CN110245774A (en) A method of regular service route optimization is carried out according to employee's home address
CN114819633B (en) Traffic facility layout evaluation method applied to homeland space planning
CN115759639A (en) Non-renting high-sending-period shared bicycle scheduling method based on small sample increment learning
CN110288198B (en) Method for measuring bearing capacity of rental bicycle transportation facility based on traffic subareas
CN115545336A (en) Track traffic stroke fine adjustment system and method
CN112004191B (en) Bus lane setting method based on mobile phone signaling and bus GPS data
CN116090785B (en) Custom bus planning method for two stages of large-scale movable loose scene
CN115796518B (en) Intelligent building site-oriented traffic organization and transportation scheduling comprehensive evaluation method
CN113947245B (en) Multi-passenger multi-driver ride sharing matching method and system based on order accumulation
CN112885094B (en) Method for identifying coordinated development areas of multiple types of operating vehicles
CN115169669A (en) Taxi sharing method based on track big data support
CN115099685A (en) Urban public transport service level evaluation method based on multi-source data
CN113657775A (en) Method for standardizing distribution behavior of distribution personnel based on violation of road operation rule identification
CN113850310A (en) Shared bicycle electronic fence planning method based on block subdivision and maximum area coverage

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
TA01 Transfer of patent application right

Effective date of registration: 20210902

Address after: 325600 Liushi Town, Yueqing City, Wenzhou, Zhejiang Province

Applicant after: Yueqing chenzhuo Electric Co., Ltd

Address before: No.116, Zhongshan Gate Street, Qixia District, Nanjing, Jiangsu, 210000

Applicant before: Zhan Guiting

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant