CN108182403A - Subway train passenger flow statistical method based on image - Google Patents
Subway train passenger flow statistical method based on image Download PDFInfo
- Publication number
- CN108182403A CN108182403A CN201711457233.4A CN201711457233A CN108182403A CN 108182403 A CN108182403 A CN 108182403A CN 201711457233 A CN201711457233 A CN 201711457233A CN 108182403 A CN108182403 A CN 108182403A
- Authority
- CN
- China
- Prior art keywords
- station
- image
- passenger flow
- statistical method
- subway train
- 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
- 238000007619 statistical method Methods 0.000 title claims abstract description 11
- 238000010191 image analysis Methods 0.000 claims abstract description 7
- 238000012216 screening Methods 0.000 claims abstract description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000002265 prevention 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
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B11/00—Apparatus for validating or cancelling issued tickets
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Multimedia (AREA)
- Game Theory and Decision Science (AREA)
- Computer Security & Cryptography (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of subway train passenger flow statistical method based on image, including the number A1 and outbound number B1 that enters the station at statistics ticket check gate;The video image in passenger getting on/off compartment at car door is obtained, and passes through image analysis identification and statistics and gets on the bus and number a1 and get off number b1;Stranded crowd number C1, i.e. C1=A1+b1 a1 B1 in station is calculated according to the number A1 that enters the station, outbound number B1, number of getting on the bus a1 and the number b1 that gets off;According to the performance graph of stranded crowd number in time generation station;Secure threshold is set, and according to performance graph screening beyond the period of the secure threshold, and report will be generated after the period correlating event factor filtered out.The invention has the advantages that design science, highly practical, accuracy is high, intuitive and convenient.
Description
Technical field
The present invention relates to field of track traffic, specifically, relate to a kind of subway train passenger flow statistics based on image
Method.
Background technology
Subway increasingly becomes the preferred option of citizens' activities because it takes the characteristics of convenient, the speed of service is fast.With multiplying
Passenger by the subway is more and more, and the volume of the flow of passengers is counted, and becomes management and the indispensable data of decision-making level and one
Important passenger traffic research means can provide data reference accurately and timely for the Operation Decision at station and integrated management.Such as
What carries out accurate statistics to the volume of the flow of passengers, so as to the valid data of stayer in stand, to facilitate management and early warning in station, into
The problem of for urgent need to resolve.
In order to solve the problems, such as present on, people are seeking a kind of ideal technical solution always.
Invention content
The purpose of the present invention is in view of the deficiencies of the prior art, so as to provide a kind of design science, highly practical, accuracy
High, intuitive and convenient the subway train passenger flow statistical method based on image.
To achieve these goals, the technical solution adopted in the present invention is:A kind of subway train passenger flow based on image
Statistical method, including the number A1 and outbound number B1 that enters the station at statistics ticket check gate;Obtain passenger getting on/off compartment at car door
Video image, and pass through image analysis identification and statistics and get on the bus and number a1 and get off number b1;According to the number A1 that enters the station, outbound people
Number B1, number of getting on the bus a1 and the number b1 that gets off calculate stranded crowd number C1, i.e. C1=A1+b1-a1-B1 in station;It is given birth to according to the time
The performance graph of stranded crowd number in into station;Secure threshold is set, and according to performance graph screening beyond the secure threshold
Period, and report will be generated after the period correlating event factor filtered out.
Based on above-mentioned, further include to each layer of division region, the passenger flow in each region is counted according to video image analysis
Density, and intensity of passenger flow performance graph is generated according to the time to each region.
Based on above-mentioned, the event factor is weather and festivals or holidays.
Based on above-mentioned, the event factor is region top news, and regional extent is using current station as the center of circle, with the ground
The half of average distance between the two neighboring station in iron wire road is the border circular areas of radius.
The present invention has prominent substantive distinguishing features and significant progress compared with the prior art, and specifically, the present invention is logical
The statistics to the volume of the flow of passengers is crossed, according to the number of entering the station, outbound number, number of getting on the bus and the stranded crowd number got off in number computer installation,
And according to performance graph screening beyond the period of secure threshold, and reported being generated after the period correlating event factor filtered out
Table, conveniently stranded crowd number, stranded crowd number exceed the time interval of secure threshold and may cause the phenomenon in intuitive grasp station
Factor, administrative staff is facilitated to be managed and prevent, with design science, highly practical, accuracy is high, intuitive and convenient
Advantage.
Specific embodiment
Below by specific embodiment, technical scheme of the present invention is described in further detail.
A kind of subway train passenger flow statistical method based on image, including the number A1 and outbound of entering the station at statistics ticket check gate
Number B1;The video image in passenger getting on/off compartment at car door is obtained, and passes through image analysis identification and statistics and gets on the bus number a1
With the number b1 that gets off;Delay in station is calculated according to the number A1 that enters the station, outbound number B1, number of getting on the bus a1 and the number b1 that gets off
Number C1, i.e. C1=A1+b1-a1-B1;According to the performance graph of stranded crowd number in time generation station;Due to being accommodated in subway station
The limited amount of passenger, more than danger may be caused after certain limit, therefore set a secure threshold, and according to dynamic song
Line screening will generate report beyond the period of the secure threshold after the period correlating event factor filtered out.Management
Person can intuitively grasp the relationship that stranded crowd number is distributed at any time by the performance graph, which can intuitively grasp stranded crowd number
Time section and the corresponding event factor that may cause the phenomenon more than secure threshold, facilitate administrative staff to carry out pipe
Reason and prevention.
In the present embodiment, the event factor is weather and festivals or holidays, and the report form statistics stranded crowd number exceeds safety threshold
Whether the possible cause of value is related with weather and/or festivals or holidays.
Preferably, the event factor is region top news, and regional extent refers to using current station as the center of circle, with the subway
The half of average distance between the two neighboring station of circuit be radius border circular areas, by top news in the region or its
Whether the statistics of his highlight can facilitate grasp stranded crowd number related with time burst beyond the possible cause of secure threshold.
Preferably, should subway train passenger flow statistical method based on image further include to each layer division region, according to regarding
Frequency image analysis counts the intensity of passenger flow in each region, and generates intensity of passenger flow performance graph according to the time to each region.
By the statistics to inner region intensity of passenger flow of standing, manager is facilitated to pay close attention to and targetedly manages a certain region.
Finally it should be noted that:The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof;To the greatest extent
The present invention is described in detail with reference to preferred embodiments for pipe, those of ordinary skills in the art should understand that:Still
It can modify to the specific embodiment of the present invention or equivalent replacement is carried out to some technical characteristics;Without departing from this hair
The spirit of bright technical solution should all cover in the claimed technical solution range of the present invention.
Claims (4)
1. a kind of subway train passenger flow statistical method based on image, it is characterised in that:Including
Enter the station number A1 and outbound number B1 at statistics ticket check gate;
The video image in passenger getting on/off compartment at car door is obtained, and passes through image analysis identification and statistics and gets on the bus number a1 under
Vehicle number b1;
Stranded crowd number C1 in station is calculated according to the number A1 that enters the station, outbound number B1, number of getting on the bus a1 and the number b1 that gets off, i.e.,
C1=A1+b1-a1-B1;
According to the performance graph of stranded crowd number in time generation station;
Secure threshold is set, and according to performance graph screening beyond the period of the secure threshold, and will be filtered out
Report is generated after the period correlating event factor.
2. the subway train passenger flow statistical method according to claim 1 based on image, it is characterised in that:It further includes to every
One layer of division region, the intensity of passenger flow in each region is counted, and each region is given birth to according to the time according to video image analysis
Into intensity of passenger flow performance graph.
3. the subway train passenger flow statistical method according to claim 1 based on image, it is characterised in that:The event because
Son is weather and festivals or holidays.
4. the subway train passenger flow statistical method according to claim 1 based on image, it is characterised in that:The event because
Son is region top news, and regional extent is being averaged using current station as the center of circle, between the two neighboring station of the subway line
The half of distance is the border circular areas of radius.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711457233.4A CN108182403A (en) | 2017-12-28 | 2017-12-28 | Subway train passenger flow statistical method based on image |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711457233.4A CN108182403A (en) | 2017-12-28 | 2017-12-28 | Subway train passenger flow statistical method based on image |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108182403A true CN108182403A (en) | 2018-06-19 |
Family
ID=62548068
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711457233.4A Pending CN108182403A (en) | 2017-12-28 | 2017-12-28 | Subway train passenger flow statistical method based on image |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108182403A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108875677A (en) * | 2018-06-29 | 2018-11-23 | 上海小蚁科技有限公司 | Passenger flow volume statistical method and device, storage medium, terminal |
CN109711299A (en) * | 2018-12-17 | 2019-05-03 | 北京百度网讯科技有限公司 | Vehicle passenger flow statistical method, device, equipment and storage medium |
CN109711523A (en) * | 2019-01-30 | 2019-05-03 | 成都智元汇信息技术股份有限公司 | A kind of metro passenger flow information real-time publishing system and method based on APP client |
CN110647855A (en) * | 2019-09-29 | 2020-01-03 | 常州大学 | Subway station passenger flow statistical method based on face recognition |
CN110717352A (en) * | 2018-07-11 | 2020-01-21 | 杭州海康威视系统技术有限公司 | Platform passenger flow volume statistical method, server and image acquisition equipment |
CN110956053A (en) * | 2018-09-25 | 2020-04-03 | 武汉云象智能科技有限公司 | Intelligent system for real-time statistics of number of retained people in subway station |
CN112396835A (en) * | 2020-11-05 | 2021-02-23 | 杭州图软科技有限公司 | Public transport passenger flow analysis system based on big data |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
CN105404850A (en) * | 2015-10-21 | 2016-03-16 | 中南大学 | Station passenger flow monitoring system, station passenger flow monitoring method, station passenger flow control system and station passenger flow control method |
CN105719022A (en) * | 2016-01-22 | 2016-06-29 | 上海工程技术大学 | Real-time rail transit passenger flow prediction and passenger guiding system |
CN106651730A (en) * | 2016-12-22 | 2017-05-10 | 东南大学 | System and method for metro passenger flow early warning based on passenger flow density and gate pass time |
CN106778632A (en) * | 2016-12-22 | 2017-05-31 | 东南大学 | Track traffic large passenger flow recognizes early warning system and method |
CN106897815A (en) * | 2017-01-17 | 2017-06-27 | 北京万相融通科技股份有限公司 | A kind of method of real-time estimate station volume of the flow of passengers trend |
US9762865B2 (en) * | 2013-03-15 | 2017-09-12 | James Carey | Video identification and analytical recognition system |
-
2017
- 2017-12-28 CN CN201711457233.4A patent/CN108182403A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9762865B2 (en) * | 2013-03-15 | 2017-09-12 | James Carey | Video identification and analytical recognition system |
CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
CN105404850A (en) * | 2015-10-21 | 2016-03-16 | 中南大学 | Station passenger flow monitoring system, station passenger flow monitoring method, station passenger flow control system and station passenger flow control method |
CN105719022A (en) * | 2016-01-22 | 2016-06-29 | 上海工程技术大学 | Real-time rail transit passenger flow prediction and passenger guiding system |
CN106651730A (en) * | 2016-12-22 | 2017-05-10 | 东南大学 | System and method for metro passenger flow early warning based on passenger flow density and gate pass time |
CN106778632A (en) * | 2016-12-22 | 2017-05-31 | 东南大学 | Track traffic large passenger flow recognizes early warning system and method |
CN106897815A (en) * | 2017-01-17 | 2017-06-27 | 北京万相融通科技股份有限公司 | A kind of method of real-time estimate station volume of the flow of passengers trend |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108875677A (en) * | 2018-06-29 | 2018-11-23 | 上海小蚁科技有限公司 | Passenger flow volume statistical method and device, storage medium, terminal |
CN108875677B (en) * | 2018-06-29 | 2020-11-17 | 上海小蚁科技有限公司 | Passenger flow volume statistical method and device, storage medium and terminal |
CN110717352A (en) * | 2018-07-11 | 2020-01-21 | 杭州海康威视系统技术有限公司 | Platform passenger flow volume statistical method, server and image acquisition equipment |
CN110717352B (en) * | 2018-07-11 | 2022-05-31 | 杭州海康威视系统技术有限公司 | Platform passenger flow volume statistical method, server and image acquisition equipment |
CN110956053A (en) * | 2018-09-25 | 2020-04-03 | 武汉云象智能科技有限公司 | Intelligent system for real-time statistics of number of retained people in subway station |
CN109711299A (en) * | 2018-12-17 | 2019-05-03 | 北京百度网讯科技有限公司 | Vehicle passenger flow statistical method, device, equipment and storage medium |
US11562307B2 (en) | 2018-12-17 | 2023-01-24 | Apollo Intelligent Driving Technology (Beijing) Co., Ltd. | Vehicle passenger flow statistical method, apparatus, device, and storage medium |
CN109711523A (en) * | 2019-01-30 | 2019-05-03 | 成都智元汇信息技术股份有限公司 | A kind of metro passenger flow information real-time publishing system and method based on APP client |
CN110647855A (en) * | 2019-09-29 | 2020-01-03 | 常州大学 | Subway station passenger flow statistical method based on face recognition |
CN110647855B (en) * | 2019-09-29 | 2023-04-18 | 常州大学 | Subway station passenger flow statistical method based on face recognition |
CN112396835A (en) * | 2020-11-05 | 2021-02-23 | 杭州图软科技有限公司 | Public transport passenger flow analysis system based on big data |
CN112396835B (en) * | 2020-11-05 | 2021-10-12 | 杭州图软科技有限公司 | Subway and bus passenger flow analysis system based on big data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108182403A (en) | Subway train passenger flow statistical method based on image | |
CN105512772B (en) | Dynamic pedestrian flow early warning method based on mobile network signaling data | |
CN106448150B (en) | Overall process emphasis car monitoring system and method | |
CN109085790A (en) | A kind of underground traffic passenger guiding system based on smart city | |
CN106781460B (en) | A kind of road section traffic volume state determines method and device | |
CN106599845A (en) | Track traffic passenger flow distribution control method and system | |
CN108197552A (en) | Urban track traffic for passenger flow early warning system | |
CN105427610A (en) | Traffic management method based on vehicle-to-infrastructure integration technology | |
CN103366412A (en) | Vehicle-mounted road traffic automobile violation correcting black box | |
CN107622668A (en) | A kind of dynamic and visual intersection management system for monitoring based on RFID | |
CN102708689A (en) | Real-time traffic monitoring system | |
CN107784832A (en) | A kind of method and apparatus for being used to identify the accident black-spot in traffic route | |
CN107180403A (en) | A kind of public transport passengers statistical management method and system | |
CN203849861U (en) | Intelligent mobile terminal-based traffic data collection distribution system | |
Fontaine et al. | Safety and operation of tramways in interaction with public space | |
CN108986707A (en) | A kind of easy-to-dismount all-purpose card gateway lock billboard | |
CN104900175A (en) | Playing system based on vehicle identification | |
CN104240504A (en) | BRT platform and corridor passenger flow state analyzing and early-warning method | |
CN109102705B (en) | Tramcar and bus collinear control method | |
CN108269219A (en) | A kind of rail transit cars passengers quantity counting and displaying method | |
CN102622889B (en) | Car sunshading board detection method and device based on image analysis | |
CN107545738A (en) | A kind of highway section speed-measuring method | |
CN108597217A (en) | A kind of expressway traffic accident monitoring reminding method | |
CN114241756B (en) | Method and system for dynamically using hard road shoulder during construction of expressway | |
CN103927888A (en) | Bus green wave signal control method under condition of high-density road network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180619 |
|
RJ01 | Rejection of invention patent application after publication |