CN104851295B - Obtain the method and system of traffic information - Google Patents
Obtain the method and system of traffic information Download PDFInfo
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- CN104851295B CN104851295B CN201510266525.4A CN201510266525A CN104851295B CN 104851295 B CN104851295 B CN 104851295B CN 201510266525 A CN201510266525 A CN 201510266525A CN 104851295 B CN104851295 B CN 104851295B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
Embodiment of the disclosure provides a kind of method and system for obtaining traffic information.The method for obtaining traffic information includes：The image and/or video data of road where the vehicle information data of collection vehicle and the vehicle；Denoising is carried out to described image and/or video data；The image and/or video data after denoising are analyzed, the traffic information of the road residing for the vehicle is obtained；And send the traffic information.
Description
Technical field
Embodiment of the disclosure is related to the method and system for obtaining traffic information, and relates more specifically to a kind of based on figure
The method and system of the acquisition traffic information of picture and/or video.
Background technology
The primary technology of urban traffic situation digging system is, by obtaining transport information and carrying out data mining, therefrom to extract and hand over
Logical status information, carries out data fusion to realize to traffic state information.Under normal circumstances, it is necessary to periodically gathered data,
And data are handled, by the correlation technique of data mining, urban history and current road conditions are obtained, and then lure by traffic
The mode such as lead, mitigate and prevent traffic congestion, and finally realize reasonable distribution of the traffic flow on each section of road network, improve city
City's traffic efficiency.
The main source of current traffic information data has three classes：Physical sensors, Floating Car and video detector.Pass through thing
The equipment of reason sensor gathered data includes：Coil checker, supersonic detector, infrared detector etc..These sensors are more
For fixed sensor, the vehicle pass-through situation in a certain fixed position or region is gathered.Floating Car refers to be provided with positioning and nothing
The common vehicle of line communicator, this vehicle can enter row information with traffic information center and exchange.When Floating Car is on road
During traveling, the information such as latitude and longitude coordinates, instantaneous velocity, direction, the turn around time of vehicle can be reported immediately.Video detector is
Fixing point detection device, by carrying out graphical analysis to collection traffic image, the traffic parameter in multiple tracks can be detected simultaneously.
After the data for collecting above-mentioned separate sources, by technological means such as data fusion, big data analyses, it can calculate
Show that vehicle flowrate, average speed, time headway, time occupancy, space occupancy, traffic density of each bar road in city etc. are believed
Breath, classification is made to the traffic behavior of each bar road.Traffic can be typically divided into：Unimpeded, jogging, congestion and seriously gather around
Stifled four classes.Finally, by modes such as broadcast, web page display, current traffic condition can be presented to user, and pass through navigation
Guiding is made to vehicle etc. mode, so as to realize the effect for avoiding congestion, improving operational efficiency.
Chinese patent application the 200710043538.0th discloses a kind of visual intelligent traffic control system and in fact
Existing method, it is included：Electronic license plate, remote vehicle identifying device, data storage device and communication interface arrangement.The long distance
It is arranged on incessantly on road from vehicle identifier, the number will be stored in after the information of vehicles identification in vehicle electric car plate
It is connected according to storage device, and with communication interface arrangement communication, urban transportation command centre is uploaded in real time, vehicle is carried out
Be remotely located track, remotely test the speed, dredging automatically under each section vehicle flowrate and busy state.
Chinese patent application the 03134351.1st is related to a kind of mechanical transport management method based on GPS technology, the party
The geography information that method is sent to the unit that wireless transmission is received is encoded, then geographical the believing to wireless transmission receiving unit reception
Breath is decoded.Coded system is the geographical position of confirmed other vehicle codes as coding using the license number of a certain vehicle
Confidence breath could be by reception processing, and display distance information.This mechanical transport management method based on GPS technology, Ke Yishi
The distance and distance change of the fore-aft vehicle travelled on highway are now understood at any time, while not affected by environment.
By physical sensors or video detection technology collection traffic data, it is necessary to each bar road, intersection in city
Mouth etc. is unified to install physics, video sensor.Therefore there is cost of installation and maintenance height, coverage is small, be only capable of detection fixation
The shortcomings of data of position.By the restriction of the factors such as manpower, fund, this fixed sensor is difficult to obtain large-scale promotion.
Floating car technology can collect the running status of vehicle in real time, be currently that most commonly used transport information is adopted
Diversity method.But in actual applications, traffic is influenceed by many factors such as vehicle flowrate, time headway, traffic densities,
And this method can only collect the data such as the coordinate of single car, speed, it is difficult to which the overall condition to road makes assessment.And by
In need to install particular acquisition vehicle coordinate, speed equipment (such as GPS device), under conditions of installation is limited, it is difficult to
In real time, condition of road surface is accurately provided.Moreover, the travel speed of vehicle is influenceed larger by the signal facility such as traffic lights, it is single
Speed data can not reflect the lights state of vehicle front.For the vehicle run at a low speed, it is difficult to which differentiation is by red light
Or congestion causes.Therefore, it is relatively low for the classification accuracy of congestion in road state.
The content of the invention
Embodiment of the disclosure, which is aimed to provide, can overcome the method and system for being used to obtain traffic information of disadvantages mentioned above.
According to an aspect of this disclosure there is provided a kind of method for obtaining traffic information, this method includes：Collection vehicle
Vehicle information data and the vehicle where road image and/or video data；To described image and/or video data
Carry out denoising；The image and/or video data after denoising are analyzed, the traffic information of the road residing for the vehicle is obtained；
And send the traffic information.
In one embodiment, the vehicle information data includes the data of the coordinate of the vehicle.
In yet another embodiment, the vehicle information data further comprises speed and/or the direction of the vehicle
Data.
In a further embodiment, carrying out denoising to described image and/or video data includes：Recognize described image
And/or vehicle, signal lamp and traffic sign in video；Obtain described image and/or the number of the vehicle in video；And carry
The state of signal lamp of winning the confidence and the implication of traffic sign.
In a further embodiment, identification described image and/or vehicle, signal lamp and traffic sign in video include：
Levied by extracting the histograms of oriented gradients of described image and/or video, Lis Hartel, in identification described image and/or video
Vehicle, signal lamp and traffic sign.
In a further embodiment, obtaining described image and/or the number of the vehicle in video includes：Pass through space matrix
Computing obtains the number of vehicles in described image and/or video.
In a further embodiment, extracting the state of signal lamp and the implication of traffic sign includes：Calculated by pattern-recognition
Method extracts the state of signal lamp and the implication of traffic sign.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to what is counted within the unit interval and on unit path area, from described image and/or video data
Vehicle number, determines the traffic density of the road residing for the vehicle.
In a further embodiment, according to the traffic density of the road obtained from each vehicle, the flat of the road is determined
Equal traffic density.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to the vehicle information data of each vehicle, the average current speed of the road residing for the vehicle is determined
Degree.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to red light duration, long green light time and the vehicle information data of signal lamp, determine residing for the vehicle
Road actual passage rate.
In a further embodiment, according to the actual passage rate of each vehicle, road residing for the vehicle is determined
Average passage rate.
In a further embodiment, methods described also includes：According to the traffic information of each bar road, each bar road is determined
Jam level；And the jam level based on each bar road, generate navigational guidance information.
According to another aspect of the disclosure there is provided a kind of system for obtaining traffic information, including：Collecting vehicle information
Unit, is configured as the vehicle information data of collection vehicle；Image/video collecting unit, is configured as gathering the vehicle place
The image and/or video data of road；Data de-noising processing unit, is configured as to described image and/or video data progress
Denoising；Data analysis unit, is configured as analyzing the image and/or video data after denoising, obtains residing for the vehicle
Road traffic information；And information transmitting unit, it is configured as sending the traffic information.
In yet another embodiment, the vehicle information data includes the data of the coordinate of the vehicle.
In a further embodiment, the vehicle information data further comprises speed and/or the direction of the vehicle
Data.
In a further embodiment, carrying out denoising to described image and/or video data includes：Recognize described image
And/or vehicle, signal lamp and traffic sign in video；Obtain described image and/or the number of the vehicle in video；And carry
The state of signal lamp of winning the confidence and the implication of traffic sign.
In a further embodiment, identification described image and/or vehicle, signal lamp and traffic sign in video include：
Levied by extracting the histograms of oriented gradients of described image and/or video, Lis Hartel, in identification described image and/or video
Vehicle, signal lamp and traffic sign.
In a further embodiment, obtaining described image and/or the number of the vehicle in video includes：Pass through space matrix
Computing obtains the number of vehicles in described image and/or video.
In a further embodiment, extracting the state of signal lamp and the implication of traffic sign includes：Calculated by pattern-recognition
Method extracts the state of signal lamp and the implication of traffic sign.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to what is counted within the unit interval and on unit path area, from described image and/or video data
Vehicle number, determines the traffic density of the road residing for the vehicle.
In a further embodiment, according to the traffic density of the road obtained from each vehicle, the flat of the road is determined
Equal traffic density.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to the vehicle information data of each vehicle, the average current speed of the road residing for the vehicle is determined
Degree.
In a further embodiment, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
Traffic information include：According to red light duration, long green light time and the vehicle information data of signal lamp, determine residing for the vehicle
Road actual passage rate.
In a further embodiment, according to the actual passage rate of each vehicle, road residing for the vehicle is determined
Average passage rate.
In a further embodiment, the data analysis unit is configured to：Believed according to the road conditions of each bar road
Breath, determines the jam level of each bar road；And the jam level based on each bar road, generate navigational guidance information.
Embodiment of the disclosure can be while coordinate, speed and the image and/or video data of collection vehicle.By dividing
Analyse image and/or video data and obtain the road informations such as traffic density, and speed the combination image for the vehicle for passing through collection with/
Or the actual passage rate that obtained signal information etc. obtains road is analyzed in video data.Embodiment of the disclosure is provided
Car-mounted device (for example, mobile phone) it is easy for installation, can simultaneously be installed on multiple vehicles.By to multiple vehicles with
Upper a variety of data carry out comprehensive analysis, are capable of the accuracy rate of significant increase condition of road surface classification, further overcome existing road conditions to believe
Cease the shortcomings of real-time rate of acquisition system is low, accuracy is poor.
Brief description of the drawings
Figures provided herein is used for providing the part of this disclosure for being further understood from, constituting the application, this
Disclosed schematic description and description is used to explain the disclosure, does not constitute improper restriction of this disclosure.In the accompanying drawings：
Fig. 1 schematically illustrates the flow chart of the method for acquisition traffic information in accordance with an embodiment of the present disclosure；
Fig. 2 schematically illustrates the stream of the method for the average density of calculating road in accordance with an embodiment of the present disclosure
Cheng Tu；
Fig. 3 schematically illustrates the stream of the method for the average passage rate of calculating road in accordance with an embodiment of the present disclosure
Cheng Tu；And
Fig. 4 schematically illustrates the block diagram for being used to obtain the system of traffic information in accordance with an embodiment of the present disclosure.
Embodiment
Hereinafter, each exemplary embodiment of the disclosure will be described in detail with reference to the attached drawings.It should be noted that these accompanying drawings
Exemplary preferred embodiment is only related to description.It should be noted that according to following description, it is easy to dream up institute herein public
The alternative for the structures and methods opened, and this can be used in the case where not departing from the claimed principle of the disclosure
A little alternatives.
It should be appreciated that providing these exemplary embodiments to better understood when those skilled in the art
And then the disclosure is realized, and the scope of the present disclosure is not limited in any way.
Term as used herein " comprising ", "comprising" and similar terms are understood to open-ended term, i.e. " bag
Include/including but not limited to ".Term "based" is " being based at least partially on ".Term " one embodiment " expression " at least one reality
Apply example "；Term " another embodiment " expression " at least one further embodiment ".Term as used herein " road " is not only
" single track " can be referred to, " road for including multiple tracks travelled in the same direction " can also be referred to or the reality of the disclosure can be applied
Apply other vehicle pass-through units of example.Term as used herein " image " and " video " are typically alternative, because video
The a series of images arranged according to time shaft is considered as, and image can be counted as the frame in video.Therefore herein
In " image " and " video " can alternatively use mutually, unless the context clearly dictates otherwise.The related definition of other terms
Provided in will be described below.
Fig. 1 schematically illustrates the flow chart of the method 100 of acquisition traffic information in accordance with an embodiment of the present disclosure.Such as
Shown in Fig. 1, this method 100 includes step S101 to step S104.
In step S101, the image and/or video of road where the vehicle information data of collection vehicle and the vehicle
Data.In accordance with an embodiment of the present disclosure, vehicle information data includes the data of the coordinate of vehicle, for example, fixed using GPS, base station
The coordinate of the vehicles of collection such as position device.By investigating continuous vehicle coordinate, can also from which further follow that vehicle speed and
The data in direction.In accordance with an embodiment of the present disclosure, vehicle information data includes coordinate, speed and the data in direction of vehicle.Example
Such as, in some GPS devices, the data in coordinate, speed and the direction of vehicle can be directly obtained.Image and/or video data
Can be that first-class image and/or video acquisition device are imaged by the mobile phone on vehicle, drive recorder, mono-/bis-mesh
Collection.
In step S102, denoising is carried out to described image and/or video data.Under normal conditions, due to network
The limitation of bandwidth etc., and due to the lifting of the performance of data de-noising processing unit in vehicle-mounted collecting device, can be on vehicle
Image and/or video data to collection carry out denoising, are easy to be transmitted by network.In embodiment of the disclosure
In, the processing to image and/or video data includes：Recognize described image and/or vehicle, signal lamp and traffic mark in video
Will；Obtain described image and/or the number of the vehicle in video；And extract the state of signal lamp and the implication of traffic sign.
In embodiment of the disclosure, by the histograms of oriented gradients (HoG), the Ha Er (Haar) that extract described image and/or video
Feature, identification described image and/or vehicle, signal lamp and traffic sign in video.In embodiment of the disclosure, pass through sky
Between matrix operation obtain number of vehicles in described image and/or video.If desired, you can be entered by space matrix computing
One step obtains the distance between vehicle and angle.In embodiment of the disclosure, signal lamp is extracted by algorithm for pattern recognition
The implication of state and traffic sign.For example, the state of traffic lights can be red light, green light.For example, traffic sign can be
Speed limit 60km/h.Further, it is also possible to press road conditions information data and the data extracted from image and/or video data
Contracting, and then facilitate network transmission.
Image and/or video data after step S103, analysis denoising, obtain the road conditions of the road residing for the vehicle
Information.
Fig. 2 schematically illustrates the method 200 of the average density of calculating road in accordance with an embodiment of the present disclosure
Flow chart.In accordance with an embodiment of the present disclosure, as shown in Fig. 2 method 200 includes step S201.In step S201, according in list
The vehicle number counted in the time of position and on unit path area, from described image and/or video data, is determined residing for the vehicle
Road traffic density.Circular can be as described below.Traffic density is an instantaneous value, and it is not only over time
Change and change, and change with the change of surveying range.Therefore, often by instantaneous density with being averaged in certain time
Value is represented.Specifically, first, the image and/or video counts of statistics certain vehicle front within certain time (for example, 5 minutes)
Vehicle number in.In addition, obtaining the size on road from known map datum or other data (for example, road
Length and width) or road coordinate data.And it is possible to reference to the vehicle coordinate obtained from vehicle information data,
The length for the road that vehicle front is counted to vehicle number is determined, and based on the car in the counted link length of this acquisition
Density.For example, by calculating the average traffic number in the vehicle front certain distance L in some cycles, it can be deduced that should
The traffic density of road.Specific formula for calculation is：
Wherein, NvThe total vehicle number for being vehicle front in L；W is road width；T is statistics duration；ρ is road
Traffic density.
According to the further preferred embodiment of the disclosure, as shown in Fig. 2 method 200 can also include step S202.
Step S202, according to the traffic density of the road obtained from each vehicle, determines the average density of the road.For example,
Can from the n vehicle receiver travelled on same road data, and the traffic density that all these vehicles are obtained according to
Vehicle number n is averaged, and so the road vehicle density can be carried out more accurately to assess.
In accordance with an embodiment of the present disclosure, according to the vehicle information data of each vehicle, the road residing for the vehicle is determined
Average passage rate.Specific formula for calculation is：
Wherein, ViIt is the passage rate of each vehicle obtained from vehicle information data；N represents the number of collection vehicle
Mesh；Represent the average passage rate of road.As described above, after the statistical average to multiple data, obtained number
According to more accurately and reliably.
Fig. 3 schematically illustrates the method 300 of the average passage rate of calculating road in accordance with an embodiment of the present disclosure
Flow chart.In accordance with an embodiment of the present disclosure, as shown in figure 3, method 300 can include step S301 and step S302.In step
Rapid S301, according to the speed and green light of the vehicle, red light duration, it is determined that the road that the vehicle is travelled within the traffic lights cycle
Journey.In step S302, by the distance divided by long green light time of the vehicle, the actual passage rate of the vehicle is determined.Hereafter enter
Row more detailed description.The state of front signal light is analyzed first, can be obtained in some cycles (for example, 5 minutes), should
The red light duration T of signal lampLRWith long green light time TLG.By the speed data that is recorded in vehicle information data (or from continuous
The speed data that coordinate data is obtained) V, it can be deduced that (it is equal to T in this timeLR+TLG) the interior distance passed through, and should
Distance divided by long green light time TLG, you can to obtain actual passage rate VL.Specific formula for calculation is：
VL=V* (TLR+TLG)/TLG (3)
According to the further preferred embodiment of the disclosure, as shown in figure 3, method 300 can also include step S303.
Step S303, is averaged to the actual passage rate of each vehicle, determines the average current speed of the road residing for the vehicle
Degree.Specific formula for calculation is：
Wherein,It is that the obtained actual passage rate of each vehicle is calculated by formula (3)；N represents the number of collection vehicle
Mesh；Represent the average passage rate of road.
In accordance with an embodiment of the present disclosure, according to the traffic information of each bar road, the jam level of each bar road is determined；And
Based on the jam level of each bar road, navigational guidance information is generated.The average logical of each bar road is calculated according to above method
After scanning frequency degree and traffic density, according to category of roads and account of the history, the congestion level of each bar road can be gone out with comprehensive descision.
The congestion level of road can be divided into 4 grades：Unimpeded, jogging, congestion and heavy congestion.In addition, according to the Ge Tiao roads of acquisition
The jam level on road, generates navigational guidance information, and then guide vehicle to the road of congestion in road grade relatively low (for example, unimpeded etc.)
Road is travelled, and alleviates traffic congestion.
In step S104, the traffic information is sent.For example, can be sent by network, radio etc. to mobile terminal
Congestion in road degree and navigational guidance information.User can be connect using the mobile terminal including mobile phone, radio etc. at any time
Receive traffic information and navigational guidance information.User can plan the stroke of oneself after traffic information is obtained.For example, user
Traffic information can also be received in fixed terminal, and then prepare trip of oneself etc. in advance.
Fig. 4 schematically illustrates the block diagram of the system 400 of acquisition traffic information in accordance with an embodiment of the present disclosure.As schemed
Shown in 4, system 400 includes：Vehicle information collection unit 401, image/video collecting unit 402, data de-noising processing unit
403rd, data analysis unit 404 and information transmitting unit 405.Vehicle information collection unit 401 is configured as collection vehicle
Vehicle information data.Image/video collecting unit 402 is configured as the image and/or video counts of road where gathering the vehicle
According to.Data de-noising processing unit 403 is configured as carrying out denoising to described image and/or video data.Data analysis list
Member 404 is configured as analyzing the image and/or video data after denoising, obtains the traffic information of the road residing for the vehicle.
Information transmitting unit 405 is configured as sending the traffic information.Note, units described herein can be realized single
In one equipment, it can also either be separately implemented in different equipment or a part of can also realize at single one
In equipment, other parts are realized in different equipment, therefore above example is not intended to limit what system was implemented
Physical form.In a preferred embodiment of the disclosure, the vehicle information collection unit 401 of system 400, image/video collection
Unit 402 and data denoising unit 403 are implemented on vehicle, and data analysis unit 404 and information transmitting unit 405
It is implemented in the server, information transfer is carried out by telecommunication medias such as networks between.
In accordance with an embodiment of the present disclosure, the vehicle information data includes the data of the coordinate of the vehicle.According to this public affairs
The embodiment opened, the vehicle information data further comprises the speed of the vehicle and/or the data in direction.
In accordance with an embodiment of the present disclosure, carrying out denoising to described image and/or video data includes：Recognize the figure
Picture and/or the vehicle in video, signal lamp and traffic sign；Obtain described image and/or the number of the vehicle in video；And
Extract the state of signal lamp and the implication of traffic sign.
In accordance with an embodiment of the present disclosure, identification described image and/or vehicle, signal lamp and traffic sign bag in video
Include：Levied by extracting the histograms of oriented gradients of described image and/or video, Lis Hartel, in identification described image and/or video
Vehicle, signal lamp and traffic sign.
In accordance with an embodiment of the present disclosure, obtaining described image and/or the number of the vehicle in video includes：Pass through spatial moment
Battle array computing obtains the number of vehicles in described image and/or video.
In accordance with an embodiment of the present disclosure, extracting the state of signal lamp and the implication of traffic sign includes：Pass through pattern-recognition
Algorithm extracts the state of signal lamp and the implication of traffic sign.
In accordance with an embodiment of the present disclosure, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
The traffic information on road includes：Counted according within the unit interval and on unit path area, from described image and/or video data
Vehicle number, determine the traffic density of the road residing for the vehicle.In accordance with an embodiment of the present disclosure, obtained according to from each vehicle
The traffic density of the road taken, determines the average density of the road.
In accordance with an embodiment of the present disclosure, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
The traffic information on road includes：According to the vehicle information data of each vehicle, determine that the average of the road residing for the vehicle is passed through
Speed.
In accordance with an embodiment of the present disclosure, the image and/or video data after analysis denoising, obtain the road residing for the vehicle
The traffic information on road includes：According to red light duration, long green light time and the vehicle information data of signal lamp, the vehicle institute is determined
The actual passage rate of the road at place.In accordance with an embodiment of the present disclosure, according to the actual passage rate of each vehicle, it is determined that described
The average passage rate of road residing for vehicle.
In accordance with an embodiment of the present disclosure, data analysis unit 404 is configured to：Believed according to the road conditions of each bar road
Breath, determines the jam level of each bar road；And the jam level based on each bar road, generate navigational guidance information.
Obviously, those skilled in the art should be understood that the unit or each step of the above-mentioned disclosure can be used
General computing device realizes that they can be concentrated on single computing device, or be distributed in multiple computing device institutes
On the network of composition, alternatively, they can be realized with the executable program code of computing device, so as to which they are deposited
Storage performed in the storage device by computing device, either they are fabricated to respectively each integrated circuit modules or by it
In multiple modules or step single integrated circuit module is fabricated to realize.So, the disclosure is not restricted to any specific
Hardware and software combine.
Disclosure alternative embodiment is the foregoing is only, the disclosure is not limited to, for those skilled in the art
For, the disclosure can have various modifications and variations.All any modifications within the spirit and principle of the disclosure, made, etc.
Effect replacement, improvement etc., should be included within the protection domain of the disclosure.
Claims (24)
1. a kind of method for obtaining traffic information, including：
The image and/or video data of road where the vehicle information data of collection vehicle and the vehicle, wherein the figure
Picture and/or video data are gathered by the image and/or video acquisition device being arranged on the vehicle；
Denoising is carried out to described image and/or video data, the denoising includes：Recognize described image and/or regard
Vehicle, signal lamp and traffic sign in frequency；Obtain described image and/or the number of the vehicle in video；With extraction signal lamp
State and traffic sign implication；
The image and/or video data after denoising are analyzed, the vehicle is obtained with the vehicle information data based on the vehicle
The traffic information of residing road；And
Send the traffic information.
2. the method according to claim 1 for obtaining traffic information, wherein the vehicle information data includes the vehicle
Coordinate data.
3. the method according to claim 2 for obtaining traffic information, wherein the vehicle information data further comprises institute
State the speed of vehicle and/or the data in direction.
4. the method according to claim 1 for obtaining traffic information, wherein the car in identification described image and/or video
, signal lamp and traffic sign include：
Levied by extracting the histograms of oriented gradients of described image and/or video, Lis Hartel, identification described image and/or video
In vehicle, signal lamp and traffic sign.
5. the method according to claim 1 for obtaining traffic information, wherein obtaining the vehicle in described image and/or video
Number include：
Number of vehicles in described image and/or video is obtained by space matrix computing.
6. the method according to claim 1 for obtaining traffic information, wherein extracting the state and traffic sign of signal lamp
Implication includes：
The state of signal lamp and the implication of traffic sign are extracted by algorithm for pattern recognition.
7. the method according to claim 1 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to the vehicle number counted within the unit interval and on unit path area, from described image and/or video data, it is determined that
The traffic density of road residing for the vehicle.
8. the method according to claim 7 for obtaining traffic information, wherein according to the car of the road obtained from each vehicle
Density, determines the average density of the road.
9. the method according to claim 1 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to the vehicle information data of each vehicle, the average passage rate of the road residing for the vehicle is determined.
10. the method according to claim 1 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to red light duration, long green light time and the vehicle information data of signal lamp, the reality of the road residing for the vehicle is determined
Border passage rate.
11. the method according to claim 10 for obtaining traffic information, wherein according to the actual passage rate of each vehicle,
Determine the average passage rate of the road residing for the vehicle.
12. the method according to claim 1 for obtaining traffic information, in addition to：
According to the traffic information of each bar road, the jam level of each bar road is determined；And
Based on the jam level of each bar road, navigational guidance information is generated.
13. a kind of system for obtaining traffic information, including：
Vehicle information collection unit, is configured as the vehicle information data of collection vehicle；
Image/video collecting unit, is arranged on the vehicle and is configured as the image of road where gathering the vehicle
And/or video data；
Data de-noising processing unit, is configured as carrying out denoising, the denoising to described image and/or video data
Including：Recognize described image and/or vehicle, signal lamp and traffic sign in video；Obtain in described image and/or video
The number of vehicle；With the state and the implication of traffic sign for extracting signal lamp；
Data analysis unit, is configured as analyzing the image and/or video data after denoising, to be believed based on the vehicle of the vehicle
Data are ceased to obtain the traffic information of the road residing for the vehicle；And
Information transmitting unit, is configured as sending the traffic information.
14. the system according to claim 13 for obtaining traffic information, wherein the vehicle information data includes the car
Coordinate data.
15. the system according to claim 14 for obtaining traffic information, wherein the vehicle information data further comprises
The speed of the vehicle and/or the data in direction.
16. the system according to claim 13 for obtaining traffic information, wherein the car in identification described image and/or video
, signal lamp and traffic sign include：
Levied by extracting the histograms of oriented gradients of described image and/or video, Lis Hartel, identification described image and/or video
In vehicle, signal lamp and traffic sign.
17. the system according to claim 13 for obtaining traffic information, wherein obtaining the car in described image and/or video
Number include：
Number of vehicles in described image and/or video is obtained by space matrix computing.
18. the system according to claim 13 for obtaining traffic information, wherein extracting the state and traffic sign of signal lamp
Implication include：
The state of signal lamp and the implication of traffic sign are extracted by algorithm for pattern recognition.
19. the system according to claim 13 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to the vehicle number counted within the unit interval and on unit path area, from described image and/or video data, it is determined that
The traffic density of road residing for the vehicle.
20. the system according to claim 19 for obtaining traffic information, wherein according to the road obtained from each vehicle
Traffic density, determines the average density of the road.
21. the system according to claim 13 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to the vehicle information data of each vehicle, the average passage rate of the road residing for the vehicle is determined.
22. the system according to claim 13 for obtaining traffic information, wherein image and/or video counts after analysis denoising
According to obtaining the traffic information of the road residing for the vehicle includes：
According to red light duration, long green light time and the vehicle information data of signal lamp, the reality of the road residing for the vehicle is determined
Border passage rate.
23. the system according to claim 22 for obtaining traffic information, wherein according to the actual passage rate of each vehicle,
Determine the average passage rate of the road residing for the vehicle.
24. the system according to claim 13 for obtaining traffic information, the data analysis unit is configured to：
According to the traffic information of each bar road, the jam level of each bar road is determined；And
Based on the jam level of each bar road, navigational guidance information is generated.
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