CN108664954A - The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging - Google Patents
The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging Download PDFInfo
- Publication number
- CN108664954A CN108664954A CN201810507610.9A CN201810507610A CN108664954A CN 108664954 A CN108664954 A CN 108664954A CN 201810507610 A CN201810507610 A CN 201810507610A CN 108664954 A CN108664954 A CN 108664954A
- Authority
- CN
- China
- Prior art keywords
- region
- board
- passenger flow
- station
- bottom station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 8
- 238000005457 optimization Methods 0.000 title claims description 5
- 238000004458 analytical method Methods 0.000 claims description 5
- 230000004069 differentiation Effects 0.000 claims description 3
- 238000010223 real-time analysis Methods 0.000 claims 1
- 230000002159 abnormal effect Effects 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 abstract 1
- 238000004140 cleaning Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The object of the present invention is to provide the passenger flow counting equipment and transmission method of a kind of combination public transport bottom station area judging,Mainly using video image processing technology as main means,By combining real-time GPS data,Utilize the public transport bottom station area judging logic in Logical processing unit,To solve the problems, such as that current video passenger flow counting equipment statistical accuracy in the station region of public transport bottom is poor to a certain extent,Advanced optimize bus passenger flow statistical accuracy,When first and last on-board and off-board website is in the region of bottom station,It can be according to decision logic,The passenger flow data generated in the region of bottom station is divided,Standard is handled to the judgement of passenger flow according in the region of different bottom stations,It realizes and specific aim processing is carried out to the passenger flow data in the region of bottom station,Abnormal passenger flow caused by non-passenger is upper and lower in solution bottom station region,Vehicle can especially be promoted in each pass and first and last website passenger flow data statistical accuracy.The present invention is highly practical, can effectively improve bus passenger flow statistical accuracy.
Description
Technical field
The present invention relates to bus passenger flows to count field, and the passenger flow counting of specifically a kind of combination public transport bottom station area judging is set
Standby and optimization method improves passenger flow statistics overall precision.
Background technology
With reaching its maturity for video image processing technology, by camera acquisition image data, skill is handled using video
The accuracy rate that art obtains bus passenger flow data has significantly improved.But video passenger flow collecting device actually uses on public transit vehicle
In the process, because being influenced by many extraneous factors, there are still many drawbacks, and counting accuracy rate is unstable, how to further increase visitor
The accuracy rate and stability of flow accounting are still the emphasis for needing to study.
Public transport bottom station region refers to the docks where when public transit vehicle starts and terminate to operate per pass, some public transport
The bottom station region of circuit is one piece of region including first and last on-board and off-board website, in the region of this kind of bottom station, when vehicle parking
Between it is general shorter, the mostly of on-board and off-board are passengers；But the bottom station region of some public bus networks does not include on-board and off-board website, vehicle
After first reaching circuit terminal, it can just enter bottom station region and stop, the mostly of on-board and off-board are that cleaning etc. is non-in this kind of region
Passenger personnel, and exist and repeatedly the various abnormal conditions such as hover up and down, in car door mouth, because at this point, passenger flow counting equipment does not power off,
It is still working normally, but is not distinguishing personnel's classification, causing the other staff such as many cleanings to be counted for passenger, cause
Counting error influences the accuracy of the passenger flow and actually guest's number of statistics.
The object of the present invention is to provide a kind of passenger flow counting equipment of combination public transport bottom station area judging for invention content.With
Video image processing technology is main means, by combining real-time GPS data to realize the differentiation to public transport bottom station region, with one
Determine to solve the problems, such as that current video passenger flow counting equipment statistical accuracy in the station region of public transport bottom is poor in degree, advanced optimizes public affairs
Hand over passenger flow statistics precision.
In order to achieve the above object, the technical solution adopted in the present invention is：
The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging, including image processing module, camera shooting
Machine, GPS module, Logical processing unit, equipment are mounted on above public transport on-board and off-board door, the on-board and off-board after equipment acquisition process
Server after number data directly upload is applied for analysis.
In said program, collected vision signal is real-time transmitted to image processing module, image procossing mould by video camera
The real-time analyzing processing video camera of block transmits the every frame video signal come, and guest up and down is identified by every frame video signal information
Number, the real-time GPS data of on-board and off-board data combination GPS module, generation include boarding and alighting, on-board and off-board location information it is complete
Passenger flow data recycles Logical processing unit midsole station region decision processing logic and preset circuit bottom station region library file,
Realize to the passenger flow data of generation whether the differentiation and processing in the region of bottom station.
In said program, preset circuit bottom station region library file in Logical processing unit, including circuit main website or secondary station
Bottom station region fence, circuit main website or secondary station on-board and off-board website whether configuration information in the region of bottom station and circuit are respectively stood
The basic datas such as point longitude and latitude, such as the on-board and off-board website of preset circuit main website/secondary station is not in the region of bottom station, as the visitor of generation
It, can be the bottom of at according to the decision logic of Logical processing unit when flow data is in circuit main website or the bottom station region fence of secondary station
The passenger flow data generated in region of standing weeds out, conversely, the on-board and off-board website of preset circuit main website/secondary station is in bottom station region
It is interior, it, can be according to decision logic, the areas Di Zhan when the passenger flow data of generation is in circuit main website or the bottom station region fence of secondary station
The passenger flow data generated in domain is divided, when the passenger flow data of generation is not in main website or the bottom station region fence of secondary station, root
The circuit website of passenger flow data ownership is judged according to GPS data.
The logic that on-board and off-board website is divided in the region of bottom station, to the passenger flow data generated in the region of bottom station is such as
Under：
S1：Division is monitored to the bottom station region of all circuits of public transport in advance, determines the passenger flow in the station region of same type bottom
Characteristic is consistent.Mainly it is divided into two major classes：A：First and last on-board and off-board website is in the region of bottom station；B：First and last on-board and off-board website is not the bottom of at
It stands in region；
S2：Determine the passenger flow feature and analyzing processing standard in above two different zones：For A classes bottom station region, Cheng Keshang
The behavior got off can be divided into two groups all in the region of bottom station：A1：First and last on-board and off-board website is in the region of bottom station, and head
Terminal point be same point, vehicle reach bottom station region after allow front/rear door simultaneously on-board and off-board, general driver not up and down, the areas Ze Dizhan
Passenger flow data in domain handles standard：Lower objective data are incorporated into the lower objective data for upper terminal point, upper visitor's data incorporate into
For next upper objective data for plowing open the initial station point that begins, it is ensured that individually count each pass and the accuracy of first and last website passenger flow data, such as
Fig. 2；A2：First and last on-board and off-board website does not allow front/rear door on-board and off-board simultaneously, Cheng Kexu in the region of bottom station in the region of bottom station
It first all gets off in drop-off point, after reaching the time of departure, just allows to get on the bus in upper visitor's point.In this case, there is driving
Member stop gap get on or off the bus the case where, then can specific aim weed out data error caused by driver's on-board and off-board, such as Fig. 3；B：
First and last on-board and off-board website not in the region of bottom station, then can directly reject by the on-board and off-board data generated in the region of bottom station, mostly be to beat
The multiple data up and down for sweeping health officer and driver, reduce statistical error caused by non-passenger data in the region of bottom station, such as scheme
4。
So for every passenger flow data that image processing module generates, first determine whether current longitude and latitude whether in logic
In processing unit in the station region of preset circuit bottom, if do not existed, passenger flow data is uploaded；Such as enter in the region of bottom station, then executes step
Rapid S3.
S3：Preset circuit bottom station region configuration information in Logical processing unit is obtained, judgement is A1, the A2 belonged in S2
Or B classes bottom station region.
S4：According to the passenger flow feature and analytical standard in the different bottom stations region determined in S2, to being generated in the region of bottom station
On-board and off-board data handled.
S5：Treated, passenger flow data is uploaded to back end statistics analysis system.
Description of the drawings
Fig. 1, Fig. 2, Fig. 3, Fig. 4 are that the present invention illustrates schematic diagram.
In figure：1, image processing module, 2, video camera, 3, GPS module, 4, Logical processing unit.
Specific implementation mode
S1：Division is monitored to the bottom station region of all circuits of public transport, determines the passenger flow in the station region of same type bottom
Characteristic is consistent.Mainly it is divided into two major classes：A：First and last on-board and off-board website is in the region of bottom station；B：First and last on-board and off-board website is not the bottom of at
It stands in region；
S2：Determine passenger flow feature and the analytical standard in above two different zones：
Referring to Fig. 2, belong to the A1 types in above-mentioned S2 steps, i.e. first and last on-board and off-board website is in the region of bottom station, and vehicle reaches
Allow front/rear door on-board and off-board simultaneously when the region of bottom station, then the passenger flow data processing standard in the region of bottom station is：Lower objective data are drawn
The lower objective data of a terminal point are classified as, upper visitor's data incorporate into as next upper objective data for plowing open the initial station point that begins, it is ensured that individually
Count each pass and the accuracy of first and last website passenger flow data.
Referring to Fig. 3, belong to the A2 types in above-mentioned S2 steps, i.e. first and last on-board and off-board website is in the region of bottom station, but the bottom of at
Standing does not allow front/rear door on-board and off-board simultaneously in region, and passenger needs first all get off in drop-off point, just fair after reaching the time of departure
Perhaps it gets on the bus in upper visitor's point.In this case, there are driver stop gap get on or off the bus the case where, then can specific aim weed out
Data error caused by driver's on-board and off-board.
Referring to Fig. 4, belong to the B types in above-mentioned S2 steps, i.e., first and last on-board and off-board website is not in the region of bottom station, then the bottom of at
The on-board and off-board data generated in region of standing can be rejected directly, be mostly the multiple data up and down of cleaning personnel and driver, subtract
Statistical error caused by non-passenger data in few bottom station region.
S3：Acquire public transit vehicle current longitude and latitude and temporal information；
S4：Current longitude and latitude of vehicle is judged whether in the bottom station region of corresponding line, if do not existed, continues S3；Such as enter bottom station
In region, S5 is thened follow the steps；
S5：The bottom station region configuration information of the affiliated circuit of vehicle is obtained, judgement belongs to A1, A2 or B class bottom station region；
S6：It is upper to being generated in the region of bottom station according to the passenger flow feature and analytical standard in the different bottom stations region determined in S2
Lower visitor's data are handled；
S7：Treated, passenger flow data is uploaded to back end statistics analysis system.
The present invention can promote vehicle in each pass and first and last website passenger flow data statistical accuracy.
Claims (4)
1. a kind of passenger flow counting equipment of combination public transport bottom station area judging, it is characterised in that：Including image processing module（1）、
Video camera（2）, GPS module（3）, Logical processing unit（4）, equipment is mounted on above public transport on-board and off-board doors, acquired by equipment
Server after boarding and alighting data that treated directly upload is applied for analysis.
2. a kind of passenger flow counting equipment of combination public transport bottom station according to claim 1 area judging, it is characterised in that：Institute
State video camera（2）Collected vision signal is real-time transmitted to image processing module（1）, image processing module（1）Divide in real time
Analysis processing video camera（2）The every frame video signal come is transmitted, boarding and alighting is identified by every frame video signal information, on
Lower visitor's data combination GPS module（3）Real-time GPS data, generate include boarding and alighting, on-board and off-board location information complete visitor
Flow data recycles Logical processing unit（4）Midsole station region decision processing logic and preset circuit bottom station region library file,
Realize to the passenger flow data of generation whether the differentiation and processing in the region of bottom station.
3. a kind of passenger flow counting equipment of combination public transport bottom station according to claim 1 area judging, it is characterised in that：Institute
State Logical processing unit（4）In preset circuit bottom station region library file, including circuit main website or the bottom station region fence of secondary station,
Circuit main website or the on-board and off-board website of secondary station whether the bases such as configuration information in the region of bottom station and each website longitude and latitude of circuit
Data, such as the on-board and off-board website of preset circuit main website/secondary station is not in the region of bottom station, when the passenger flow data of generation is in circuit master
Stand or the bottom station region fence of secondary station in when, according to Logical processing unit（4）Decision logic, can be being generated in the region of bottom station
Passenger flow data weed out, conversely, the on-board and off-board website of preset circuit main website/secondary station is in the region of bottom station, as the visitor of generation
It, can be according to decision logic, the visitor generated in the region of bottom station when flow data is in circuit main website or the bottom station region fence of secondary station
Flow data is divided, and when the passenger flow data of generation is not in main website or the bottom station region fence of secondary station, is judged according to GPS data
The circuit website of passenger flow data ownership.
4. according to a kind of optimization of the passenger flow counting equipment of claim 1-3 any one of them combination public transport bottom station area judging
Method, it is characterised in that：On-board and off-board website divides the passenger flow data generated in the region of bottom station in the region of bottom station
Logic is as follows：
S1：Division is monitored to the bottom station region of all circuits of public transport in advance, determines the passenger flow in the station region of same type bottom
Characteristic is consistent, is mainly divided into two major classes：A：First and last on-board and off-board website is in the region of bottom station；B：First and last on-board and off-board website is not the bottom of at
It stands in region；
S2：Determine the passenger flow feature and analyzing processing standard in above two different zones：For A classes bottom station region, Cheng Keshang
The behavior got off can be divided into two groups all in the region of bottom station：A1：First and last on-board and off-board website is in the region of bottom station, and head
Terminal point be same point, vehicle reach bottom station region after allow front/rear door simultaneously on-board and off-board, general driver not up and down, the areas Ze Dizhan
Passenger flow data in domain handles standard：Lower objective data are incorporated into the lower objective data for upper terminal point, upper visitor's data incorporate into
For next upper objective data for plowing open the initial station point that begins, it is ensured that individually count each pass and the accuracy of first and last website passenger flow data；
S3：Obtain Logical processing unit（4）In preset circuit bottom station region configuration information, judgement is A1, the A2 belonged in S2
Or B classes bottom station region；
S4：It is upper to being generated in the region of bottom station according to the passenger flow feature and analytical standard in the different bottom stations region determined in S2
Lower visitor's data are handled；
S5：Treated, passenger flow data is uploaded to back end statistics analysis system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810507610.9A CN108664954A (en) | 2018-05-24 | 2018-05-24 | The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810507610.9A CN108664954A (en) | 2018-05-24 | 2018-05-24 | The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108664954A true CN108664954A (en) | 2018-10-16 |
Family
ID=63776479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810507610.9A Pending CN108664954A (en) | 2018-05-24 | 2018-05-24 | The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108664954A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109712296A (en) * | 2019-01-07 | 2019-05-03 | 郑州天迈科技股份有限公司 | A kind of public traffice passenger flow statistical method combined based on gate signal and website |
| CN111619614A (en) * | 2020-06-05 | 2020-09-04 | 上海应用技术大学 | System and method for monitoring and dredging passenger crowding in carriage |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204557612U (en) * | 2015-04-14 | 2015-08-12 | 清华大学苏州汽车研究院（吴江） | A kind of bus passenger flow statistical system based on machine vision |
| CN107564164A (en) * | 2017-09-05 | 2018-01-09 | 郑州天迈科技股份有限公司 | Public transport first and last standee's method for stream processing |
-
2018
- 2018-05-24 CN CN201810507610.9A patent/CN108664954A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204557612U (en) * | 2015-04-14 | 2015-08-12 | 清华大学苏州汽车研究院（吴江） | A kind of bus passenger flow statistical system based on machine vision |
| CN107564164A (en) * | 2017-09-05 | 2018-01-09 | 郑州天迈科技股份有限公司 | Public transport first and last standee's method for stream processing |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109712296A (en) * | 2019-01-07 | 2019-05-03 | 郑州天迈科技股份有限公司 | A kind of public traffice passenger flow statistical method combined based on gate signal and website |
| CN109712296B (en) * | 2019-01-07 | 2021-12-31 | 郑州天迈科技股份有限公司 | Bus passenger flow statistical method based on combination of door signals and stops |
| CN111619614A (en) * | 2020-06-05 | 2020-09-04 | 上海应用技术大学 | System and method for monitoring and dredging passenger crowding in carriage |
| CN111619614B (en) * | 2020-06-05 | 2022-05-27 | 上海应用技术大学 | A system and method for monitoring and dredging passengers in a carriage |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104217592B (en) | People flow rate statistical method, equipment and system | |
| EP1708144B1 (en) | Method and device for data exchange of toll related data for DSRC (Dedicated Short Range Communications) systems | |
| CN109716358B (en) | A Method of Detecting Pedestrian Traffic Using WI-FI Probes | |
| CN109035447A (en) | A kind of Logistics Park vehicle parking charging method and system | |
| CN108509914B (en) | Bus passenger flow statistical analysis system and method based on TOF camera | |
| CN110517500B (en) | Man-vehicle association processing method and device | |
| CN108108897B (en) | Rail transit passenger flow clearing method and system and electronic equipment | |
| Nakashima et al. | Passenger counter based on random forest regressor using drive recorder and sensors in buses | |
| Mishalani et al. | Use of mobile device wireless signals to determine transit route-level passenger origin–destination flows: Methodology and empirical evaluation | |
| CN107145819A (en) | A kind of bus crowding determines method and apparatus | |
| CN108664954A (en) | The passenger flow counting equipment and optimization method of a kind of combination public transport bottom station area judging | |
| CN110392122A (en) | The determination method and apparatus of address style, storage medium, electronic device | |
| CN112700473B (en) | Carriage congestion degree judging system based on image recognition | |
| AU2017328113A1 (en) | A method and system for analyzing the movement of bodies in a traffic system | |
| CN104463420A (en) | Order processing system and method of OTA website | |
| CN113450573A (en) | Traffic monitoring method and traffic monitoring system based on unmanned aerial vehicle image recognition | |
| CN111984806A (en) | Method, device and storage medium for determining association degree of vehicle and terminal | |
| TWM472902U (en) | Vehicle travels information identifying and matching system | |
| CN106650976A (en) | Travel analysis and forecasting method and system, and travel analysis and forecasting method and system based on IC card | |
| CN108551650A (en) | A kind of bus passenger flow harvester and passenger flow statistical method | |
| CN114841712B (en) | Method and device for determining illegal operation state of network appointment vehicle tour and electronic equipment | |
| CN115809768A (en) | Smart city information resource display system and method | |
| CN108280402B (en) | Binocular vision-based passenger flow volume statistical method and system | |
| CN109410597B (en) | Method, device and system for detecting traffic flow at park entrance and exit | |
| CN111079488B (en) | Deep learning-based bus passenger flow detection system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181016 |