CN108961782A - Traffic intersection control method and device - Google Patents
Traffic intersection control method and device Download PDFInfo
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- CN108961782A CN108961782A CN201810957654.1A CN201810957654A CN108961782A CN 108961782 A CN108961782 A CN 108961782A CN 201810957654 A CN201810957654 A CN 201810957654A CN 108961782 A CN108961782 A CN 108961782A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
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Abstract
The present invention provides a kind of traffic intersection control method and device, are related to the technical field of video monitoring, comprising: obtain structured message from database, which has vehicle structure information, pedestrian's structured message and human face structure information；All directions vehicles number, non-motor vehicle quantity and pedestrian's quantity are counted according to structured message；Then according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, all directions motor vehicle, non-motor vehicle and the transit time of pedestrian are calculated separately；Further according to all directions motor vehicle, non-motor vehicle and the transit time of pedestrian, adjustment signal lamp controls duration.By counting traffic intersection troop length, adjustment signal lamp controls duration, can alleviate conventional traffic signal lamp and be difficult to the technical issues of being adjusted in real time according to the monitor video that traffic monitoring camera is shot, reduce traffic congestion, the traffic capacity of traffic intersection is improved, road traffic pressure is alleviated.
Description
Technical field
The present invention relates to technical field of video monitoring, more particularly, to a kind of traffic intersection control method and device.
Background technique
Currently, conventional traffic signal lamp cannot play good regulating and controlling effect to traffic pressure.The one party of traffic intersection
It is long to the green light clearance time, cause vehicle tail of the queue to drain into crossing, rear car, which is persistently driven into, causes crossing to block, and other direction
It does not let pass always for red light.Although current traffic department it has been specified that, " rushing green light " this influence " crossing headroom " leads to crossing
The behavior of congestion such as will be deducted points, be imposed a fine at the punishment, but not solve traffic jam issue fundamentally.Therefore, traffic is improved
The traffic capacity at crossing is of crucial importance to road traffic pressure is alleviated.
Summary of the invention
In view of this, being gathered around the purpose of the present invention is to provide a kind of traffic intersection control method and device with reducing traffic
It is stifled, the traffic capacity of traffic intersection is improved, road traffic pressure is alleviated.
In a first aspect, the embodiment of the invention provides a kind of traffic intersection control methods, comprising:
Structured message is obtained from database；
All directions vehicles number, non-motor vehicle quantity and pedestrian's quantity are counted according to the structured message；
According to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, calculate separately all directions motor vehicle,
The transit time of non-motor vehicle and pedestrian；
According to all directions motor vehicle, the transit time of non-motor vehicle and pedestrian, adjustment signal lamp controls duration；
Wherein, the database purchase has vehicle structure information, pedestrian's structured message and human face structure information.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
State method further include:
Obtain the video flowing in the region of the multi-channel video capturing equipment acquisition of target traffic intersection；
Extract the interesting target in each single-frame images of the video flowing；
Structured message extraction is carried out to each interesting target using neural network algorithm, obtains vehicle structureization letter
Breath, pedestrian's structured message and human face structure information；
By the vehicle structure information, pedestrian's structured message and the human face structure information storage to data
Library.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
Stating vehicle structure information includes: at least one of vehicle build-in attribute, driver information, vehicle personalization information；
Pedestrian's structured message include: complexion feature, dressing information, ornament, in carry-on articles information at least
It is a kind of；
The human face structure information includes: at least one of complexion feature, expression.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein institute
State method further include:
Indicate that situation identifies the unlawful practice of traffic intersection using big data searching method according to indicator light；
Notification shows the evidence obtaining picture of the unlawful practice.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute
It states according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, calculates separately all directions motor vehicle, non-maneuver
The transit time of vehicle and pedestrian, comprising:
Obtain motor vehicle troop length, non-motor vehicle troop length and the row in the target area of the target traffic intersection
People troop length；
According to motor vehicle, non-motor vehicle and pedestrian averagely by speed, all directions motor vehicle, non-machine are calculated separately
The transit time of motor-car and pedestrian.
Second aspect, the embodiment of the present invention also provide a kind of traffic intersection control device, comprising:
Module is obtained, for obtaining structured message from database；
Statistical module, for counting all directions vehicles number, non-motor vehicle quantity and row according to the structured message
People's quantity；
Computing module, for calculating separately according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity
All directions motor vehicle, non-motor vehicle and the transit time of pedestrian；
Control module, for the transit time according to all directions motor vehicle, non-motor vehicle and pedestrian, adjustment signal lamp
Control duration；
Wherein, the database purchase has vehicle structure information, pedestrian's structured message and human face structure information.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein institute
State device further include:
Acquisition module, the video in region that the multi-channel video capturing equipment for obtaining target traffic intersection acquires
Stream；
Extraction module, for extracting the interesting target in each single-frame images of the video flowing；
Structurized module, for carrying out structured message extraction, institute to each interesting target using neural network algorithm
Stating structurized module includes: vehicle structure unit, pedestrian's structuring unit, human face structure unit；
Database module is used for the vehicle structure information, pedestrian's structured message and the human face structure
Change information storage to database.
In conjunction with second aspect, the embodiment of the invention provides second of possible embodiments of second aspect, wherein institute
It includes: vehicle build-in attribute, driver information, at least one in vehicle personalization information that vehicle structure unit, which is stated, for extracting
Kind；
Pedestrian's structuring unit includes: complexion feature, dressing information, ornament, carry-on articles information for extracting
At least one of；
The human face structure unit includes: at least one of complexion feature, expression for extracting.
In conjunction with second aspect, the embodiment of the invention provides the third possible embodiments of second aspect, wherein institute
State device further include:
Monitoring module, for indicating that situation identifies the violation of traffic intersection using big data searching method according to indicator light
Behavior；
Evidence obtaining display module, shows the evidence obtaining picture of the unlawful practice for being notified to.
In conjunction with second aspect, the embodiment of the invention provides the 4th kind of possible embodiments of second aspect, wherein institute
State computing module, comprising:
Obtain length cell, it is the motor vehicle troop length in target area for obtaining the target traffic intersection, non-
Motor vehicle troop length and pedestrian troop length；
Time quantum is calculated, for, averagely by speed, calculating separately described according to motor vehicle, non-motor vehicle and pedestrian
All directions motor vehicle, non-motor vehicle and the transit time of pedestrian.
The embodiment of the present invention brings following the utility model has the advantages that a kind of traffic intersection control method provided in an embodiment of the present invention
And device, comprising: obtain structured message from database, which has vehicle structure information, pedestrian's structuring letter
Breath and human face structure information；All directions vehicles number, non-motor vehicle quantity and pedestrian are counted according to the structured message
Quantity；Then according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, it is motor-driven that all directions are calculated separately
Vehicle, non-motor vehicle and the transit time of pedestrian；Further according to all directions motor vehicle, the transit time of non-motor vehicle and pedestrian,
Adjustment signal lamp controls duration.By counting traffic intersection troop length, adjustment signal lamp controls duration, can alleviate traditional friendship
Ventilating signal lamp is difficult to the technical issues of being adjusted in real time according to the monitor video that traffic monitoring camera is shot, and reduces traffic and gathers around
It is stifled, the traffic capacity of traffic intersection is improved, road traffic pressure is alleviated.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is traffic intersection control method flow chart provided in an embodiment of the present invention；
Fig. 2 is the flow chart of database creation process provided in an embodiment of the present invention；
Fig. 3 is the detail flowchart of step S13 in the embodiment of the present invention；
Fig. 4 is traffic intersection control device schematic diagram provided in an embodiment of the present invention.
Icon:
21- obtains module；22- statistical module；23- computing module；24- control module；25- monitoring module；26- evidence obtaining is aobvious
Show module；201- acquisition module；202- extraction module；203- structurized module；204- database module；231- obtains length list
Member；232- calculates time quantum；2031- vehicle structure unit；2032- pedestrian's structuring unit；2033- human face structure list
Member.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Currently, conventional traffic signal lamp is difficult to be adjusted in real time according to the monitor video that traffic monitoring camera is shot,
Lead to traffic congestion.Based on this, a kind of traffic intersection control method and device provided in an embodiment of the present invention can alleviate tradition
Traffic lights are difficult to the technical issues of being adjusted in real time according to the monitor video that traffic monitoring camera is shot, and reduce traffic
Congestion improves the traffic capacity of traffic intersection, alleviates road traffic pressure.
For convenient for understanding the present embodiment, first to a kind of traffic intersection controlling party disclosed in the embodiment of the present invention
Method describes in detail.
Embodiment one:
The embodiment of the invention provides a kind of traffic intersection control methods, as shown in Figure 1, the traffic intersection control method packet
Include following steps:
S11: structured message is obtained from database.
Wherein, above-mentioned database purchase has vehicle structure information, pedestrian's structured message and human face structure information.
As shown in Fig. 2, establishing database specifically includes following steps:
S101: the video flowing in the region of the multi-channel video capturing equipment acquisition of target traffic intersection is obtained.
For example, video capture device can be high-definition camera and intelligent camera etc..Same traffic intersection may
Multiple video capture devices are provided with, each acquisition equipment has fixed pickup area, can obtain multi-path video data.
S102: the interesting target in each single-frame images of above-mentioned video flowing is extracted.
In the embodiment of the present invention, object features can be carried out to single-frame images using the neural network algorithm of multiple convolutional layers
Extraction, obtain characteristic pattern, the interesting target in image determined according to characteristic pattern.Illustratively, interesting target can be with are as follows:
Pedestrian, bicycle, motorcycle, tricycle, car, minibus, truck or bus etc..
By tracking the interesting target in multiple single-frame images, to each target in time series on the basis of tracking
It is upper progress preferentially, duplicate removal, can obtain interesting target it is clearest, be most suitable for video structural high quality screenshot.
Wherein, preferentially i.e. refer to interesting target carry out quality evaluation, comprehensive consideration include but is not limited to target size,
Whether it is blocked, whether image is clear, whether angle is suitable etc., and factors, flux index give a mark to current goal quality；
Duplicate removal is to refer to according to the preferentially marking to interesting target in time series in the process, selects highest scoring in time series
Screenshot as the interesting target primary structure as a result, i.e. capture result.
S103: structured message extraction is carried out to each interesting target using neural network algorithm, obtains vehicle structure
Change information, pedestrian's structured message and human face structure information.
Vehicle structure information includes: at least one in the information such as vehicle build-in attribute, driver information, customized information
Kind.
Vehicle build-in attribute include: in the features such as vehicle color, brand and model year money, license plate number, type of vehicle extremely
Few one kind.When identifying vehicle color, vehicle color is divided into 13 kinds, comprising: black, white, silver-colored, grey, green, blue, green, yellow, golden,
Red, purple, powder, palm fibre.The vehicle of identical appearance can be merged when identifying vehicle brand model, while headstock and the tailstock being believed
Breath distinguishes, and wherein headstock information includes 5500 kinds or more, and tail information includes 3500 kinds or more.When identifying license board information
In addition to the character information on license plate, the color and information of license plate can be also identified.Number plate color includes: blue, yellow, white, black, green
Five kinds of colors, number plate type include: Macao's entry and exit vehicle, full-sized car, coach automobile, police automobile, army's automobile, foreign nationality's vapour
Vehicle, Hong Kong entry and exit vehicle, kart.Type of vehicle is divided into 21 major class according to state's rotating savings, including car, jubilee wagen, big
Type lorry, light passenger train, station wagon, motorbus, minibus, picking-up vehicle, offroad vehicle, commercial vehicle, trailer, concrete mixer truck,
Tank car, truck-mounted crane, fire fighting truck, slag-soil truck, drover's car, engineering first-aid repair vehicle, relief car, bulk lorry, tricycle.Driver information
It include: that main driving personnel do not fasten the safety belt, drive to make a phone call, copilot personnel do not fasten the safety belt, the face of major-minor driver；
In order to overcome the influence of false-trademark vehicle and fake-licensed car to vehicle identification, unique identification is assigned to each car, can also identify of vehicle
Property information, comprising: the spies such as vehicle annual test mark, sunshading board, pendant, goods of furniture for display rather than for use, paper towel box, skylight, luggage carrier, spare tyre, damage trace
At least one of sign；When extracting pedestrian's structured message, by the build-in attribute of vehicle, driver information, customized information
Equal information digitalizations, generate the re-authentication condition code of vehicle, the re-authentication condition code be used for across camera tracking, with scheme to search figure and
Driving trace reproduction.
Pedestrian's structured message includes: at least one in the information such as complexion feature, dressing information, ornament, carry-on articles
Kind；Complexion feature includes: the features such as gender (male, female), age bracket (child, youth, middle age, old age), hair style, color development, beard
At least one of；Dressing information includes: to wear at least one of features such as color, texture, style, the type of dress up and down,
At least one of features such as ornament includes: whether to wear glasses, mask, cap；Carry-on articles information include whether beat umbrella,
At least one of embrace child, draw the features such as luggage case, knapsack, handbag.When extracting pedestrian's structured message, by the sample of pedestrian
The information digitalizations such as looks feature, dressing information, ornament, carry-on articles, generate the re-authentication condition code of pedestrian, and the re-authentication is special
Sign code is used for across camera tracking, to scheme to search figure and driving trace reproduction.
Human face structure information includes: at least one of information such as complexion feature, expression；Complexion feature includes: gender
At least one of features such as (male, female), age bracket (child, youth, middle age, old age), hair style, color development, beard；Expression packet
It includes: at least one of expressions such as pleasure, anger, sorrow, happiness；Do not consider to identify the accurate age when age identification, but identifies
Age bracket, to improve recognition accuracy.When extracting human face structure information, by Information Numbers such as the complexion feature of face, expressions
Word, generates the re-authentication condition code of face, the condition code of the re-authentication for recognition of face, across camera tracking, to scheme to search figure
And driving trace reproduction.
S104: above-mentioned vehicle structure information, above-mentioned pedestrian's structured message and above-mentioned human face structure information are stored
To database.
After structured information processing, by the structured message storage of vehicle, pedestrian and face to database.It illustrates
Bright, database can be cloud database.
S12: according to above structure Information Statistics all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity.
Illustratively, it is illustrated for including two video capture devices in target road section region.Two views
Frequency acquisition equipment is respectively equipment A, equipment B.Interesting target after the structure that wherein equipment A is sent can be as shown in table 1.
Table 1
| Number | Interesting target |
| 1 | Pedestrian |
| 2 | Car |
| 3 | Bus |
| 4 | Pedestrian |
| 5 | Minibus |
Wherein, the interesting target after the structuring that equipment B is sent can be as shown in table 2.
Table 2
The interesting target that tabulating equipment A and equipment B are sent, obtains summarizing data, and statistics summarizes motor vehicle in data, non-
Motor vehicle and pedestrian are as shown in table 3 in the quantity of the target road section.
Table 3
| Classification | Quantity |
| Motor vehicle | 7 |
| Non-motor vehicle | 3 |
| Pedestrian | 4 |
S13: according to above-mentioned all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, all directions machine is calculated separately
Motor-car, non-motor vehicle and the transit time of pedestrian.
As shown in figure 3, specifically including following two steps:
S131: motor vehicle troop length in the target area of above-mentioned target traffic intersection, non-motor vehicle troop head are obtained
Degree and pedestrian troop length.
Illustratively, according to above-mentioned all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, integration objective traffic
Crossing situation calculates motor vehicle troop length, non-motor vehicle troop length and pedestrian team in target traffic intersection target area
5 length.
S132: according to motor vehicle, non-motor vehicle and pedestrian averagely by speed, it is motor-driven that above-mentioned all directions are calculated separately
Vehicle, non-motor vehicle and the transit time of pedestrian.
Illustratively, it is statisticallyd analyze by big data, can know that motor vehicle, non-motor vehicle and pedestrian pass through target traffic
Crossing averagely by speed, with all directions motor vehicle, non-motor vehicle and the troop of pedestrian length respectively divided by passing through the target
Traffic intersection averagely passes through speed, can respectively obtain the transit time of above-mentioned all directions motor vehicle, non-motor vehicle and pedestrian.
S14: according to above-mentioned all directions motor vehicle, the transit time of non-motor vehicle and pedestrian, adjustment signal lamp controls duration.
Illustratively, according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, it can be determined that road at present
Situation, can be with are as follows: the target road section stream of people is excessively intensive, target road section is suitble to pedestrian to pass through, target road section vehicle is excessively intensive etc..
According to above-mentioned all directions motor vehicle, the transit time of non-motor vehicle and pedestrian, reasonable signal lamp duration, e.g., mesh can be set
It is more to mark crossing major trunk roads vehicle flowrate, it is longer that green time can be set.
As a preferred embodiment, in a kind of traffic intersection control method provided in an embodiment of the present invention, in step
After rapid S14, following steps are still further comprised:
S15: indicate that situation identifies the unlawful practice of traffic intersection using big data searching method according to indicator light.
Illustratively, pass through above-mentioned vehicle structure information, pedestrian's structured message, human face structure information realization vehicle
With the identification of face.Indicate that situation can identify unlawful practice using big data searching method according to indicator light, as vehicle is rushed
The unlawful practices such as red light, driver are not fastened the safety belt, driver makes a phone call, non-motor vehicle drives in the wrong direction, makes a dash across the red light.
S16: notification shows the evidence obtaining picture of above-mentioned unlawful practice.
By the unlawful practice for the vehicle and pedestrian that traffic intersection monitoring device is shot, party is given and is notified to, and is shown
The evidence obtaining picture for showing the unlawful practices such as it makes a dash across the red light charges to personal credit system in this, as credit record.It can hand over correcting
Logical unlawful practice, promotes traffic circulation efficiency, ensures traffic safety and play an important role.
In traffic intersection control method provided in an embodiment of the present invention, structured message, the database are obtained from database
It is stored with vehicle structure information, pedestrian's structured message and human face structure information；It is each according to above structure Information Statistics
Steering wheel motor-car quantity, non-motor vehicle quantity and pedestrian's quantity；Then according to above-mentioned all directions vehicles number, non-motor vehicle number
Amount and pedestrian's quantity, calculate separately all directions motor vehicle, non-motor vehicle and the transit time of pedestrian；Further according to above-mentioned all directions machine
Motor-car, non-motor vehicle and the transit time of pedestrian, adjustment signal lamp control duration.By counting traffic intersection troop length, adjust
Entire signal lamp control duration, can alleviate conventional traffic signal lamp be difficult to according to traffic monitoring camera shoot monitor video into
The technical issues of row adjustment in real time, traffic congestion is reduced, the traffic capacity of traffic intersection is improved, alleviates road traffic pressure, together
When be conducive to correct traffic violations behavior, ensure traffic safety.
Embodiment two:
A kind of traffic intersection control device provided in an embodiment of the present invention, as shown in figure 4, the traffic intersection control device packet
It includes: obtaining module 21, statistical module 22, computing module 23, control module 24, monitoring module 25, evidence obtaining display module 26, acquisition
Module 201, extraction module 202, structurized module 203, database module 204.
Wherein, computing module 23 includes: to obtain length cell 231, calculate time quantum 232；Structurized module 203 wraps
It includes: vehicle structure unit 2031, pedestrian's structuring unit 2032, human face structure unit 2033.
Module 21 is obtained, for obtaining structured message from database；Wherein, above-mentioned database purchase has vehicle structure
Information, pedestrian's structured message and human face structure information.Statistical module 22, for according to above structure Information Statistics each side
To vehicles number, non-motor vehicle quantity and pedestrian's quantity；Computing module 23, for according to above-mentioned all directions vehicles number,
Non-motor vehicle quantity and pedestrian's quantity calculate separately all directions motor vehicle, non-motor vehicle and the transit time of pedestrian；Control module
24, for the transit time according to above-mentioned all directions motor vehicle, non-motor vehicle and pedestrian, adjustment signal lamp controls duration；Monitoring
Module 25, for indicating that situation identifies the unlawful practice of traffic intersection using big data searching method according to indicator light；Evidence obtaining
Display module 26 shows the evidence obtaining picture of above-mentioned unlawful practice for being notified to.
Obtain length cell 231, the motor vehicle troop length in target area for obtaining above-mentioned target traffic intersection,
Non-motor vehicle troop length and pedestrian troop length；Time quantum 232 is calculated, for according to motor vehicle, non-motor vehicle and pedestrian
Averagely by speed, calculate separately the transit time of above-mentioned all directions motor vehicle, non-motor vehicle and pedestrian.
Acquisition module 201, for obtain target traffic intersection multi-channel video capturing equipment acquire region in
Video flowing；Extraction module 202, for extracting the interesting target in each single-frame images of above-mentioned video flowing；Structurized module
203, for carrying out structured message extraction, above structure module packet to each interesting target using neural network algorithm
It includes: vehicle structure unit, pedestrian's structuring unit, human face structure unit；Database module 204 is used for above-mentioned vehicle
Structured message, above-mentioned pedestrian's structured message and above-mentioned human face structure information are stored to database.
Above-mentioned vehicle structure unit 2031 includes: vehicle build-in attribute, driver information, vehicle personalization for extracting
At least one of information；Above-mentioned pedestrian's structuring unit 2032 for extract include: complexion feature, dressing information, ornament,
At least one of carry-on articles information；Above-mentioned human face structure unit 2033 includes: complexion feature, in expression for extracting
It is at least one.
In traffic intersection control device provided in an embodiment of the present invention, structuring letter is obtained from database by obtaining module
Breath, the database purchase have vehicle structure information, pedestrian's structured message and human face structure information；Utilize statistical module root
According to above structure Information Statistics all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity；Then pass through computing module
According to above-mentioned all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, all directions motor vehicle, non-motor vehicle are calculated separately
With the transit time of pedestrian；Again by control module according to above-mentioned all directions motor vehicle, the transit time of non-motor vehicle and pedestrian,
Adjustment signal lamp controls duration.By counting traffic intersection troop length, adjustment signal lamp controls duration, can alleviate traditional friendship
Ventilating signal lamp is difficult to the technical issues of being adjusted in real time according to the monitor video that traffic monitoring camera is shot, and reduces traffic and gathers around
It is stifled, the traffic capacity of traffic intersection is improved, road traffic pressure is alleviated, while being conducive to correct traffic violations behavior, ensures and hands over
Logical safety.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, section or code of table, a part of the module, section or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually base
Originally it is performed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that
It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule
The dedicated hardware based system of fixed function or movement is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
Traffic intersection control device provided in an embodiment of the present invention, with traffic intersection control method provided by the above embodiment
Technical characteristic having the same reaches identical technical effect so also can solve identical technical problem.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of traffic intersection control method characterized by comprising
Structured message is obtained from database；
All directions vehicles number, non-motor vehicle quantity and pedestrian's quantity are counted according to the structured message；
According to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity, all directions motor vehicle, non-machine are calculated separately
The transit time of motor-car and pedestrian；
According to all directions motor vehicle, the transit time of non-motor vehicle and pedestrian, adjustment signal lamp controls duration；
Wherein, the database purchase has vehicle structure information, pedestrian's structured message and human face structure information.
2. the method according to claim 1, wherein the method also includes:
Obtain the video flowing in the region of the multi-channel video capturing equipment acquisition of target traffic intersection；
Extract the interesting target in each single-frame images of the video flowing；
Structured message extraction is carried out to each interesting target using neural network algorithm, obtains vehicle structure information, row
People's structured message and human face structure information；
By the vehicle structure information, pedestrian's structured message and the human face structure information storage to database.
3. according to the method described in claim 2, it is characterized in that, the vehicle structure information include: vehicle build-in attribute,
At least one of driver information, vehicle personalization information；
Pedestrian's structured message includes: at least one of complexion feature, dressing information, ornament, carry-on articles information；
The human face structure information includes: at least one of complexion feature, expression.
4. the method according to claim 1, wherein the method also includes:
Indicate that situation identifies the unlawful practice of traffic intersection using big data searching method according to indicator light；
Notification shows the evidence obtaining picture of the unlawful practice.
5. the method according to claim 1, wherein it is described according to all directions vehicles number, it is non-maneuver
Vehicle quantity and pedestrian's quantity calculate separately all directions motor vehicle, non-motor vehicle and the transit time of pedestrian, comprising:
Obtain motor vehicle troop length, non-motor vehicle troop length and the pedestrian team in the target area of the target traffic intersection
5 length；
According to motor vehicle, non-motor vehicle and pedestrian averagely by speed, all directions motor vehicle, non-motor vehicle are calculated separately
With the transit time of pedestrian.
6. a kind of traffic intersection control device characterized by comprising
Module is obtained, for obtaining structured message from database；
Statistical module, for counting all directions vehicles number, non-motor vehicle quantity and pedestrian's number according to the structured message
Amount；
Computing module, for calculating separately each side according to all directions vehicles number, non-motor vehicle quantity and pedestrian's quantity
To motor vehicle, non-motor vehicle and the transit time of pedestrian；
Control module, for the transit time according to all directions motor vehicle, non-motor vehicle and pedestrian, the control of adjustment signal lamp
Duration；
Wherein, the database purchase has vehicle structure information, pedestrian's structured message and human face structure information.
7. device according to claim 6, which is characterized in that described device further include:
Acquisition module, the video flowing in region that the multi-channel video capturing equipment for obtaining target traffic intersection acquires；
Extraction module, for extracting the interesting target in each single-frame images of the video flowing；
Structurized module, for carrying out structured message extraction, the knot to each interesting target using neural network algorithm
Structure module includes: vehicle structure unit, pedestrian's structuring unit, human face structure unit；
Database module, for believing the vehicle structure information, pedestrian's structured message and the human face structureization
Database is arrived in breath storage.
8. device according to claim 7, which is characterized in that the vehicle structure unit includes: vehicle for extracting
At least one of build-in attribute, driver information, vehicle personalization information；
Pedestrian's structuring unit for extract include: complexion feature, dressing information, ornament, in carry-on articles information
It is at least one；
The human face structure unit includes: at least one of complexion feature, expression for extracting.
9. device according to claim 6, which is characterized in that described device further include:
Monitoring module, for indicating that situation identifies the violation row of traffic intersection using big data searching method according to indicator light
For；
Evidence obtaining display module, shows the evidence obtaining picture of the unlawful practice for being notified to.
10. device according to claim 6, which is characterized in that the computing module, comprising:
Obtain length cell, it is the motor vehicle troop length in target area for obtaining the target traffic intersection, non-maneuver
5 length of fleet and pedestrian troop length；
Time quantum is calculated, for, averagely by speed, calculating separately each side according to motor vehicle, non-motor vehicle and pedestrian
To motor vehicle, non-motor vehicle and the transit time of pedestrian.
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