CN104715623B - Traffic intersection congestion index detection system before signal lamp - Google Patents
Traffic intersection congestion index detection system before signal lamp Download PDFInfo
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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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- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T2207/30236—Traffic on road, railway or crossing
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Abstract
The present invention relates to traffic intersection congestion index detection system before a kind of signal lamp, described control system comprises image capture device, image processing equipment, Signalized control equipment and 3G communication facilities, image capture device is taken the traffic intersection before signal lamp, obtain crossing image, image processing equipment carries out image procossing to crossing image, to obtain the congestion index in each bar track of traffic intersection, the congestion index in each bar track is wirelessly sent to traffic administration platform by 3G communication facilities, and receive the Signalized control signal of feedback, Signalized control equipment carrys out the traffic lights duration of control signal lamp each sub-lamp based on Signalized control signal.Present invention includes mist elimination haze treatment facility to eliminate the adverse effect of haze weather to image.By the present invention, even if under the weather that haze is serious, also according to the display of the actual jam situation control signal lamp of traffic intersection, thus limited current resource can be maximally utilised.
Description
Technical field
The present invention relates to traffic lights field, particularly relate to traffic intersection congestion index detection system before a kind of signal lamp.
Background technology
Because urban central zone is to the excessive gathering of resource, such as, large hospital is generally built up in area, down town, and administrative department of municipal government is also respectively near central regions, public place of entertainment is arranged on down town resident's accumulation area etc., causes the trip of city dweller to concentrate on city.Further, along with the raising of people's living standard, automobile trip becomes trend.Like this, often be on duty peak period, or amusement at weekend concentrative time interval, main section in city all presents jam, on the one hand, reduces the efficiency of trip, inconvenience is brought to live and work, on the other hand, more tail gas discharged by the automobile of slow running, defines serious environmental pollution.At this moment, what limited crossing passed through that resource limits people goes out line efficiency, causes the slow running of more vehicles.
The traffic lights how designing traffic lights continue duration, with the wagon flow in each track of traffic intersection before unblocking signal lamp, are the important topics that vehicle supervision department needs to solve.In prior art, vehicle supervision department generally continues duration to the traffic lights that the design of each signal lamp is fixing, such design obviously cannot adapt to real-time traffic, even if there are some technical schemes based on the real-time adjustment of image recognition, if under the weather that haze is serious, because image is by obfuscation, the error of regulation and control is larger.
Therefore, need traffic intersection congestion index detection system before a kind of new signal lamp, traffic lights for adjusting corresponding signal lamp in real time continue duration, can ensure that traffic lights continue duration and can follow real-time road and change, not by the impact of haze weather, farthest improve city traffic efficiency, reduce city environmental pollution.
Summary of the invention
In order to solve the problem, the invention provides traffic intersection congestion index detection system before a kind of signal lamp, introducing crossing image capture device and treatment facility are taken and congestion index identification crossing image, the use network bandwidth is high, wide coverage, the fast 3G network of velocity of propagation realizes the transmission of real-time congestion index, be convenient to far-end parametric controller make and utilize crossing to pass through the decision-making of resource to greatest extent, based on the traffic light time of Decision Control corresponding signal lamp, improve self-adaptation degree and the control efficiency of Signalized control, effectively improve urban transportation present situation, simultaneously, according to atmospheric attenuation model determination haze to the influence factor of image, and the process of mist elimination haze is carried out to the image gathered under foggy days, the reliability of system is improved.
According to an aspect of the present invention, provide traffic intersection congestion index detection system before a kind of signal lamp, described detection system comprises image capture device, image processing equipment, Signalized control equipment and 3G communication facilities, described image capture device is taken the traffic intersection before signal lamp, obtain crossing image, described image processing equipment carries out image procossing to described crossing image, to obtain the congestion index in each bar track of described traffic intersection, described 3G communication facilities is connected respectively with described image processing equipment and described Signalized control equipment, the congestion index in each for described traffic intersection bar track is wirelessly sent to the traffic administration platform of far-end, and receive the Signalized control signal of described traffic administration platform feedback, described Signalized control equipment is based on red light duration of described Signalized control signal control signal lamp each sub-lamp and green light duration.
More specifically, before described signal lamp in traffic intersection congestion index detection system, described detection system also comprises: power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage, mist elimination haze treatment facility, between described image capture device and described image processing equipment, for receiving described crossing image, sharpening process is performed to described crossing image, obtain sharpening crossing image, and replace described crossing image, described sharpening crossing image is inputted described image processing equipment, described mist elimination haze treatment facility also comprises: store subset, for prestoring sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky areas of publishing picture in picture, also for prestoring presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255, haze Concentration Testing subset, is arranged in air, for the haze concentration of real time detection signal lamp position, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1, Region dividing subset, connect described image capture device to receive described crossing image, gray processing process is carried out to obtain gray processing area image to described crossing image, also be connected with storage subset, the pixel identification of gray-scale value in described gray processing area image between described sky upper limit gray threshold and described sky lower limit gray threshold is formed gray processing sky sub pattern, described gray processing sky sub pattern is partitioned into obtain the non-sky subimage of gray processing from described gray processing area image, the colour non-sky subimage corresponding with described gray processing non-sky subimage is obtained based on the correspondence position of described gray processing non-sky subimage in described beat image, black channel obtains subset, be connected with described Region dividing subset to obtain the non-sky subimage of described colour, for each pixel in the non-sky subimage of described colour, calculate its R, G, B tri-Color Channel pixel value, the R of all pixels in described colour non-sky subimage, G, B tri-extracts the Color Channel at the minimum Color Channel pixel value place of numerical value in Color Channel pixel value as black channel, overall air light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described Region dividing subset and described black channel to be connected respectively to obtain described crossing image and described black channel, multiple pixels that black channel pixel value in the image of described crossing is more than or equal to presetted pixel value threshold value are formed set of pixels to be tested, the gray-scale value air light value as a whole of the pixel of maximum gradation value will be had in described set of pixels to be tested, atmospheric scattering light value obtains subset, be connected respectively with described Region dividing subset and described haze Concentration Testing subset, to each pixel of described crossing image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel, medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel, sharpening Image Acquisition subset, with described Region dividing subset, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in the image of described crossing is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in the image of described crossing, the pixel value of each pixel comprises the R of each pixel in the image of described crossing, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition sharpening crossing image of all pixels, described image processing equipment is connected with described mist elimination haze treatment facility, identify the vehicle fleet size in each bar track of traffic intersection described in the image of described sharpening crossing, vehicle fleet size in each bar track of described traffic intersection is analyzed, to obtain the congestion index in each bar track of described traffic intersection, the congestion index in track is directly proportional to the vehicle fleet size in track, the congestion index in each for described traffic intersection bar track to be added on the image of described sharpening crossing to form combination picture by described 3G communication facilities, and described combination picture is sent to described traffic administration platform by 3G wireless communication link, wherein, described traffic administration platform is after receiving described combination picture, parse the congestion index in each bar track of traffic intersection in described combination picture, and combine based on the congestion index in each bar track of traffic intersections all near described traffic intersection and make a policy, to send the Signalized control signal for described traffic intersection.
More specifically, before described signal lamp in traffic intersection congestion index detection system, described image capture device is high-definition image collecting device, and the resolution of the crossing image exported is 1920 × 1080 or 1420 × 1080.
More specifically, before described signal lamp in traffic intersection congestion index detection system, described mist elimination haze treatment facility, described image capture device and described image processing equipment are integrated on one piece of surface-mounted integrated circuit.
More specifically, before described signal lamp in traffic intersection congestion index detection system, 4G communication facilities is adopted to substitute described 3G communication facilities.
More specifically, before described signal lamp in traffic intersection congestion index detection system, described 3G communication facilities also comprises image recombiner unit, MPEG-4 compression unit and 3G communication unit; Described image recombiner unit on described sharpening crossing image that the congestion index in each for described traffic intersection bar track is added to form combination picture; Described MPEG-4 compression unit is connected with described image recombiner unit, for carrying out compression of images to described combination picture; Described 3G communication unit is connected with described MPEG-4 compression unit, for the combination picture after compression is sent to described traffic administration platform by 3G wireless communication link.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of traffic intersection congestion index detection system before the signal lamp illustrated according to an embodiment of the present invention.
Fig. 2 is the block diagram of the 3G communication facilities of traffic intersection congestion index detection system before the signal lamp illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of traffic intersection congestion index detection system before signal lamp of the present invention is described in detail.
Current, every country, especially developing country, urbanization process is constantly being pushed into, and city size is constantly extended.Due to the advantage of urban district medical treatment, working opportunity and amusement aspect, increasing people select work in city or live, and what bring is the progressively raising of urban district automobile quantity thereupon.Automobile, bringing easily simultaneously, also have impact on the unimpeded of urban transportation.Even in some section, due to the supersaturation of automobile, cause traffic highly to be blocked up, the time that spends of driving even has exceeded time of people's walking, the severe jamming normal life of people.Traffic congestion has become a kind of urban disease, annoyings city dweller and city manager.
In order to alleviate the degree of urban traffic blocking, the hard brains of city manager, propose and implement some ways improving traffic trip, such as, carry out widening road by road construction, increase and more dredge section, or by economic means, improve the expenses standard of city parking lot.These ways alleviate the degree of traffic congestion to a certain extent, but the manpower and financial resources of the former at substantial, the width increased and road are unable to catch up with the increase of automobile quantity, and the latter is the means with administrative interference, cause certain financial burden to the resident of urban district trip.Therefore, above-mentioned way all has certain drawback.
In order to from city planning, improve the rationality of the dredging magnitude of traffic flow, the technical scheme of some belisha beacon traffic lights duration Based Intelligent Control is there is in prior art, according to the difference of the magnitude of traffic flow in morning and evening, be that same signal lamp designs the different traffic lights duration in different time sections, reduce the vehicle fleet size waiting for red light, ensure the utilization rate of road.But the signal lamp traffic lights duration was fixed based on the time period in prior art, can not in real time according to the flow at crossing, signal lamp place and adaptive change, thus technical scheme is more inflexible, intelligent level is lower.Also there are some technical schemes according to crossing image determination corresponding signal lamp traffic light time in prior art, but these technical schemes lack mist elimination haze treatment mechanism, its control accuracy is easy to the impact being subject to haze weather.
Therefore, need traffic intersection congestion index detection system before a kind of new signal lamp, for controlling traffic intersection signal lamp in real time, the traffic lights duration of signal lamp is made to follow traffic intersection road conditions in real time and to change, this system can weaken the impact of haze weather on control accuracy simultaneously, thus the existing urban traffic road of efficiency utilization.
Fig. 1 is the block diagram of traffic intersection congestion index detection system before the signal lamp illustrated according to an embodiment of the present invention, described detection system comprises image capture device 1, image processing equipment 2, Signalized control equipment 3, 3G communication facilities 4 and mist elimination haze treatment facility 5, traffic intersection before described image capture device 1 pair of signal lamp is taken, obtain crossing image, mist elimination haze treatment facility 5 performs sharpening process to described crossing image, obtain sharpening crossing image, described image processing equipment 2 carries out image procossing to described sharpening crossing image, to obtain the congestion index in each bar track of described traffic intersection, described 3G communication facilities 4 is connected respectively with described image processing equipment 2 and described Signalized control equipment 3, the congestion index in each for described traffic intersection bar track is wirelessly sent to the traffic administration platform of far-end, and receive the Signalized control signal of described traffic administration platform feedback, described Signalized control equipment 3 is based on red light duration of described Signalized control signal control signal lamp each sub-lamp and green light duration.
Below, more specific description is carried out to the structure of traffic intersection congestion index detection system before signal lamp.
Described detection system also comprises: power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
Described mist elimination haze treatment facility 5 also comprises: store subset, for prestoring sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky areas of publishing picture in picture, also for prestoring presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255.
Described mist elimination haze treatment facility 5 also comprises: haze Concentration Testing subset, is arranged in air, for the haze concentration of real time detection signal lamp position, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1.
Described mist elimination haze treatment facility 5 also comprises: Region dividing subset, connect described image capture device 1 to receive described crossing image, gray processing process is carried out to obtain gray processing area image to described crossing image, also be connected with storage subset, the pixel identification of gray-scale value in described gray processing area image between described sky upper limit gray threshold and described sky lower limit gray threshold is formed gray processing sky sub pattern, described gray processing sky sub pattern is partitioned into obtain the non-sky subimage of gray processing from described gray processing area image, the colour non-sky subimage corresponding with described gray processing non-sky subimage is obtained based on the correspondence position of described gray processing non-sky subimage in described beat image.
Described mist elimination haze treatment facility 5 also comprises: black channel obtains subset, be connected with described Region dividing subset to obtain the non-sky subimage of described colour, for each pixel in the non-sky subimage of described colour, calculate its R, G, B tri-Color Channel pixel value, the R of all pixels in described colour non-sky subimage, G, B tri-extracts the Color Channel at the minimum Color Channel pixel value place of numerical value in Color Channel pixel value as black channel.
Described mist elimination haze treatment facility 5 also comprises: overall air light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described Region dividing subset and described black channel to be connected respectively to obtain described crossing image and described black channel, multiple pixels that black channel pixel value in the image of described crossing is more than or equal to presetted pixel value threshold value are formed set of pixels to be tested, the gray-scale value air light value as a whole of the pixel of maximum gradation value will be had in described set of pixels to be tested.
Described mist elimination haze treatment facility 5 also comprises: atmospheric scattering light value obtains subset, be connected respectively with described Region dividing subset and described haze Concentration Testing subset, to each pixel of described crossing image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel.
Described mist elimination haze treatment facility 5 also comprises: medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel.
Described mist elimination haze treatment facility 5 also comprises: sharpening Image Acquisition subset, with described Region dividing subset, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in the image of described crossing is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in the image of described crossing, the pixel value of each pixel comprises the R of each pixel in the image of described crossing, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition sharpening crossing image of all pixels.
Described image processing equipment 2 is connected with described mist elimination haze treatment facility 5, identify the vehicle fleet size in each bar track of traffic intersection described in the image of described sharpening crossing, vehicle fleet size in each bar track of described traffic intersection is analyzed, to obtain the congestion index in each bar track of described traffic intersection, the congestion index in track is directly proportional to the vehicle fleet size in track.
The congestion index in each for described traffic intersection bar track to be added on the image of described sharpening crossing to form combination picture by described 3G communication facilities 4, and described combination picture is sent to described traffic administration platform by 3G wireless communication link.
Wherein, described traffic administration platform is after receiving described combination picture, parse the congestion index in each bar track of traffic intersection in described combination picture, and combine based on the congestion index in each bar track of traffic intersections all near described traffic intersection and make a policy, to send the Signalized control signal for described traffic intersection.
Alternatively, before described signal lamp in traffic intersection congestion index detection system, described image capture device 1 is high-definition image collecting device, and the resolution of the crossing image exported is 1920 × 1080 or 1420 × 1080; Described mist elimination haze treatment facility 5, described image capture device 1 and described image processing equipment 2 can be integrated on one piece of surface-mounted integrated circuit, 4G communication facilities can be adopted to substitute described 3G communication facilities 4.
Alternatively, as shown in Figure 2, described 3G communication facilities 4 also comprises image recombiner unit 41, MPEG-4 compression unit 42 and 3G communication unit 43; Described image recombiner unit 41 on described sharpening crossing image that the congestion index in each for described traffic intersection bar track is added to form combination picture; Described MPEG-4 compression unit 42 is connected with described image recombiner unit 41, for carrying out compression of images to described combination picture; Described 3G communication unit 43 is connected with described MPEG-4 compression unit 42, for the combination picture after compression is sent to described traffic administration platform by 3G wireless communication link.
In addition, haze image can realize the mist elimination haze of image by a series of images treatment facility, to obtain the image of sharpening, improves the visibility of image.These image processing equipments perform different image processing functions respectively, based on the principle that haze is formed, reach the effect removing haze.The sharpening process of haze image all has great using value for dual-use field, and military domain comprises military and national defense, remote sensing navigation etc., and civil area comprises road monitoring, target following and automatic Pilot etc.
The process that haze image is formed can be described by atmospheric attenuation process, relation between haze image and real image and sharpening image can be stated by the medium transmission rate of overall air light value and each pixel, namely when known haze image, according to the medium transmission rate of overall air light value with each pixel, sharpening image can be solved.
There are some effective and through verifying means in the solving of medium transmission rate for overall air light value and each pixel, such as, for the medium transmission rate of each pixel, need the atmospheric scattering light value obtaining overall air light value and each pixel, and the atmospheric scattering light value of each pixel can obtain carrying out the Gaussian smoothing filter at twice maintenance edge to the pixel value of each pixel in haze image, therebetween, the intensity of haze removal is adjustable; And the acquisition pattern of overall air light value has two kinds, a kind of mode is, black channel by obtaining haze image (namely makes the black channel value of some pixels very low in haze image, black channel is R, G, one in B tri-Color Channel), in haze image, obtain by finding the maximum pixel of gray-scale value in multiple pixels that searching black channel pixel value is bigger than normal, be about to the gray-scale value air light value as a whole of that search out, that gray-scale value is maximum pixel, participate in the sharpening process of each pixel in haze image; In addition, overall air light value is also by obtaining with under type: the gray-scale value calculating each pixel in haze image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole.
Relation between concrete haze image and real image and sharpening image, and the relation between parameters can see above content.
By the discussion to haze image formation basic theory, build the relation between haze image and sharpening image, by this relation of multiple Parametric Representation, subsequently by the multiple parameter values that obtain and haze image and the higher image of reducible acquisition sharpness, some statistical means and empirical means have been used in acquisition due to parameter, therefore the image that described sharpness is higher can not be equal to real image completely, but there is the mist elimination haze effect of certain degree, for the every field operation under haze weather provides effective guarantee.
Adopt traffic intersection congestion index detection system before signal lamp of the present invention, control model for existing traffic intersection signal lamp programme is fixed, the traffic of each crossing reality cannot be caught up with in real time, the technical matters of the not high and anti-fog haze function difference of control efficiency, adopt the mode of 3G Wireless Data Transmission, ensure the quick of data, accurately, the transmission that gamut covers, vehicle identification is carried out to the image that crossing collects simultaneously, vehicle fleet size is added up, and calculate the congestion index in each track further, based on the situation of change of the congestion index in each track, formulate the linkage pattern of each sub-lamp corresponding to each track, farthest make use of the traffic route at each crossing, the more important thing is, quoting of mist elimination haze treatment facility, make native system can adapt to work under various haze weather.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (1)
1. traffic intersection congestion index detection system before a signal lamp, it is characterized in that, described detection system comprises image capture device, image processing equipment, Signalized control equipment and 3G communication facilities, described image capture device is taken the traffic intersection before signal lamp, obtain crossing image, described image processing equipment carries out image procossing to described crossing image, to obtain the congestion index in each bar track of described traffic intersection, described 3G communication facilities is connected respectively with described image processing equipment and described Signalized control equipment, the congestion index in each for described traffic intersection bar track is wirelessly sent to the traffic administration platform of far-end, and receive the Signalized control signal of described traffic administration platform feedback, described Signalized control equipment carrys out red light duration and the green light duration of control signal lamp each sub-lamp based on described Signalized control signal,
Described detection system also comprises:
Power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage;
Mist elimination haze treatment facility, between described image capture device and described image processing equipment, for receiving described crossing image, sharpening process is performed to described crossing image, obtain sharpening crossing image, and replace described crossing image, described sharpening crossing image is inputted described image processing equipment;
Described mist elimination haze treatment facility also comprises:
Store subset, for prestoring sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky areas of publishing picture in picture, also for prestoring presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255;
Haze Concentration Testing subset, is arranged in air, for the haze concentration of real time detection signal lamp position, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1;
Region dividing subset, connect described image capture device to receive described crossing image, gray processing process is carried out to obtain gray processing area image to described crossing image, also be connected with storage subset, the pixel identification of gray-scale value in described gray processing area image between described sky upper limit gray threshold and described sky lower limit gray threshold is formed gray processing sky sub pattern, described gray processing sky sub pattern is partitioned into obtain the non-sky subimage of gray processing from described gray processing area image, the colour non-sky subimage corresponding with described gray processing non-sky subimage is obtained based on the correspondence position of described gray processing non-sky subimage in described beat image,
Black channel obtains subset, be connected with described Region dividing subset to obtain the non-sky subimage of described colour, for each pixel in the non-sky subimage of described colour, calculate its R, G, B tri-Color Channel pixel value, the R of all pixels in described colour non-sky subimage, G, B tri-extracts the Color Channel at the minimum Color Channel pixel value place of numerical value in Color Channel pixel value as black channel;
Overall air light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described Region dividing subset and described black channel to be connected respectively to obtain described crossing image and described black channel, multiple pixels that black channel pixel value in the image of described crossing is more than or equal to presetted pixel value threshold value are formed set of pixels to be tested, the gray-scale value air light value as a whole of the pixel of maximum gradation value will be had in described set of pixels to be tested;
Atmospheric scattering light value obtains subset, be connected respectively with described Region dividing subset and described haze Concentration Testing subset, to each pixel of described crossing image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel,
Medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel;
Sharpening Image Acquisition subset, with described Region dividing subset, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in the image of described crossing is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in the image of described crossing, the pixel value of each pixel comprises the R of each pixel in the image of described crossing, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition sharpening crossing image of all pixels,
Described image processing equipment is connected with described mist elimination haze treatment facility, identify the vehicle fleet size in each bar track of traffic intersection described in the image of described sharpening crossing, vehicle fleet size in each bar track of described traffic intersection is analyzed, to obtain the congestion index in each bar track of described traffic intersection, the congestion index in track is directly proportional to the vehicle fleet size in track;
The congestion index in each for described traffic intersection bar track to be added on the image of described sharpening crossing to form combination picture by described 3G communication facilities, and described combination picture is sent to described traffic administration platform by 3G wireless communication link;
Wherein, described traffic administration platform is after receiving described combination picture, parse the congestion index in each bar track of traffic intersection in described combination picture, and combine based on the congestion index in each bar track of traffic intersections all near described traffic intersection and make a policy, to send the Signalized control signal for described traffic intersection.
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| CN106340193A (en) * | 2016-11-24 | 2017-01-18 | 郑州云海信息技术有限公司 | Control apparatus and control method for illumination time of traffic light |
| US10181263B2 (en) | 2016-11-29 | 2019-01-15 | Here Global B.V. | Method, apparatus and computer program product for estimation of road traffic condition using traffic signal data |
| CN108806283B (en) * | 2017-05-02 | 2021-06-08 | 中移物联网有限公司 | Control method of traffic signal lamp and Internet of vehicles platform |
| CN107123287B (en) * | 2017-06-27 | 2019-08-02 | 吉林大学 | A kind of traffic lights control integrated device based on Self-organizing Coordinated |
| CN107464418B (en) * | 2017-08-18 | 2021-03-19 | 深圳市鹏城交通网络股份有限公司 | Intelligent traffic management system |
| CN107507422A (en) * | 2017-08-22 | 2017-12-22 | 浙江大学 | The intelligent vehicle control that self scheduling and traffic congestion can be achieved and perceive based on Internet of Things |
| CN108389403A (en) * | 2018-04-23 | 2018-08-10 | 白冰 | The traffic lights and speed(-)limit sign intelligent adjusting method captured based on vehicle flowrate |
| CN111223293B (en) * | 2018-11-27 | 2021-03-02 | 滴滴智慧交通科技有限公司 | System and method for analyzing traffic congestion |
| CN110444018B (en) * | 2019-07-30 | 2020-11-03 | 腾讯科技（深圳）有限公司 | Control method and device for simulated city system, storage medium and electronic device |
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