CN109448367A - A kind of Intelligent road traffic tracing management system based on big data Image Acquisition - Google Patents
A kind of Intelligent road traffic tracing management system based on big data Image Acquisition Download PDFInfo
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- CN109448367A CN109448367A CN201811230362.4A CN201811230362A CN109448367A CN 109448367 A CN109448367 A CN 109448367A CN 201811230362 A CN201811230362 A CN 201811230362A CN 109448367 A CN109448367 A CN 109448367A
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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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
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The present invention discloses a kind of Intelligent road traffic tracing management system based on big data Image Acquisition, including datum number storage obtains terminal and display terminal according to library, region division module, condition of road surface update module, Cloud Server, vehicle storage database, several car-mounted terminals, several images；Cloud Server obtains terminal according to library, display terminal, several car-mounted terminals and several images and connect with condition of road surface update module, vehicle storage database, datum number storage respectively, region division module and datum number storage are connected according to library, and car-mounted terminal is connect with vehicle storage database.The present invention obtains terminal by car-mounted terminal, image and combines Cloud Server and road condition update module, the traffic condition between adjacent section to be measured can accurately be analyzed, convenient for showing the congestion level in section to be measured for administrative staff, the tracing management of road traffic is realized, recommends reliably reference frame for later period route or travel by vehicle.
Description
Technical field
The invention belongs to control of traffic and road technical fields, are related to a kind of Intelligent road based on big data Image Acquisition
Traffic tracing management system.
Background technique
With the rapid development of social economy, urbanization process is accelerated, Urban traffic demand increases rapidly, and traffic problems are
Through as urgent problem to be solved during urban development, various intelligent traffic administration systems and control technology are applied to
To improve the service efficiency of road, traffic efficiency and reduce congested in traffic and traffic accident in the traffic administration of road.
But the system of control of traffic and road at present, it can not be to the vehicle in road vehicle quantity and each road area
Image is analyzed, and can only obtain the situation of Current traffic, and can not statistically a road section road traffic to lower a road section road surface
There is the accuracy difference of road forecast analysis, cannot achieve effective tracking of road traffic in the influence of traffic.
Summary of the invention
The purpose of the present invention is to provide the Intelligent road traffic tracing management system based on big data, pass through road like
Condition update module, car-mounted terminal and image obtain terminal and combine Cloud Server, can obtain the comprehensive traffic between adjacent segments
Congestion coefficient, during solving existing road traffic administration, the traffic condition of unpredictable adjacent two section route and
The problem of accuracy difference can not realize that effectively traffic is tracked to each the intensive traffic section.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of Intelligent road traffic tracing management system based on big data Image Acquisition, including datum number storage according to library,
Region division module, condition of road surface update module, Cloud Server, vehicle storage database, several car-mounted terminals, several images obtain
Take terminal and display terminal；
Cloud Server is whole according to library, display with condition of road surface update module, vehicle storage database, datum number storage respectively
End, several car-mounted terminals and several images obtain terminal and connect, and region division module and datum number storage are connected according to library, vehicle-mounted end
End is connect with vehicle storage database；
For datum number storage according to library for storing the corresponding number of each road branch, each road branch is suitable according to the sequence of setting
Sequence is numbered, and respectively 1,2 ..., i ..., n, section of the road branch between adjacent intersection, each road branch
Road is provided at least one Image Acquisition point, and image is equipped at Image Acquisition point and obtains terminal, same road branch road
Image Acquisition point is numbered according to the direction of vehicle driving, and respectively 1,2 ..., j ..., m, and store each Image Acquisition point
The vehicle standard speed at place；
In addition, being stored with the corresponding different rainwater resistivities of different rainfalls, haze grade and haze obstruction system
Number, and store whether pavement of road has instantaneous resistivity G corresponding to construction or traffic accident, if there are construction or traffic in road surface
Accident then takes G to be equal to 1, anyway, then take G to be equal to 0；
Region division module is divided into several roads to be measured for dividing to fix road section length to each road branch
Section, the section to be measured of same road branch road are successively numbered each section to be measured according to vehicle forward direction, and respectively 1,
2 ..., j ..., m, and the center position in each section to be measured is provided with Image Acquisition point, pacifies at Image Acquisition point
Terminal is obtained equipped with image；
Road condition update module is used to input the weather basal conditions on the same day and each section to be measured of each road branch
Whether there are construction or a traffic accident, and whether the road surface of the weather basic condition of input and each road branch is constructed or traffic thing
Therefore information is sent to Cloud Server；
Car-mounted terminal is installed on vehicle, for the position where real-time monitoring vehicle current vehicle speed and vehicle, and will
The speed and vehicle location of detection are sent to vehicle storage database；
Vehicle storage database receives the vehicle that each car-mounted terminal sends vehicle driving for storing road branch distribution map
It speed and location information and is stored, while the corresponding position of vehicle being labeled on road branch distribution map；
In addition, vehicle storage database is for storing various criterion vehicle image, at least vehicle in each standard vehicle image
Distributing position and a feature difference in vehicle fleet size, each standard vehicle image construction standard vehicle image set Y=y1,
Y2 ..., yu ..., yq }, su is expressed as u-th of standard vehicle image, and each standard vehicle image corresponds to a vehicular traffic
Judge numerical value, the corresponding vehicular traffic of each standard vehicle image judge numerical value constitute vehicular traffic judge set of values X=x1,
X2 ..., xu ..., xq }, wu is expressed as u-th of vehicular traffic and judges numerical value, and the vehicular traffic judges that numerical value indicates original
Vehicle judges congestion coefficient, and each standard vehicle image in standard vehicle image set judges each vehicle of value set with vehicular traffic
Traffic judges between numerical value for mapping relations one by one；
Image obtains terminal and is mounted at each Image Acquisition point of each road branch road, the figure being mounted at Image Acquisition point
Identical as the corresponding number of Image Acquisition point as obtaining terminal, described image acquisition terminal is with set time end acquisition road surface
Image information, meanwhile, the corresponding location information of Image Acquisition terminal is obtained, and the pavement image information of acquisition is sent to cloud clothes
Business device；
It includes timing unit, reset unit, image acquisition units, controller and data communication unit that described image, which obtains terminal,
Member, controller are connect with timing unit, reset unit, image acquisition units and data communication units respectively, reset unit and meter
Shi Danyuan connection；
Timing unit is sent to controller for carrying out accumulative timing, and by the accumulative time, and reset unit is for receiving
The time that the control instruction that controller is sent adds up timing unit is zeroed out, and image acquisition units are high-definition camera, uses
Vehicle image information where acquisition at Image Acquisition point, and the vehicle image information of acquisition is sent to controller, it controls
Device receives the accumulated time that timing unit is sent, and compares to the time threshold of received accumulated time and setting, if accumulation
Time is equal to the time threshold of setting, then controller, which is sent, resets control instruction to reset unit, controls reset unit to timing
The time of unit accumulation is zeroed out, meanwhile, send shooting control instruction to image acquisition units, control image acquisition units into
Row image taking, and controller receives the vehicle image information that image acquisition units are sent, and by received vehicle image information
It is sent to data communication units；Data communication units are used to receive the vehicle image information of controller transmission, and by received road
Face image information is sent to Cloud Server；
The section to be measured that Cloud Server is divided according to region division module, each car-mounted terminal in calculating vehicle storing data library
Vehicle fleet size in each section to be measured, the vehicle fleet size in each section to be measured constitute vehicle fleet size set S to be measuredi(si1,
si2,...,sij,...,siM), siJ is expressed as the vehicle fleet size in i-th of road branch road, j-th of section to be measured, and will be same
Vehicle fleet size in the previous section to be measured of the vehicle fleet size and the section to be measured in section to be measured on one road branch carries out
Comparison, obtains comparing vehicle fleet size set S to be measuredi′(si′1,si′2,...,si′j,...,si' (m-1)), si' j is expressed as i-th
The difference between the vehicle fleet size in vehicle fleet size and jth+1 section to be measured in j-th of the section to be measured in a road branch road, i.e.,
si' j=si(j+1)-siJ, Cloud Server is according to comparison vehicle fleet size set S to be measuredi', count the vehicle flowrate in each section to be measured
Pressure coefficientλ is expressed as impact factor, takes 10.6, si(j+1) it is expressed as i-th of road branch
Vehicle fleet size in the section to be measured of upper jth+1；
Cloud Server from obtaining the corresponding speed of vehicle in each section to be measured in vehicle storage database, acquisition it is each to be measured
Vehicle speed in section is ranked up according to the vertical sequence of vehicle and constitutes real-time speed set Vij(vij1,
vij2,...,vijt,....,vijK), vijIt is corresponding that t is expressed as t-th of vehicle on i-th of road by-path in j-th of section to be measured
Speed, vijK is expressed as the quantity of vehicle in i-th of road branch road, j-th of section to be measured, i.e. k=s in kiJ, Cloud Server
The average speed in each section to be measured is counted according to the real time speed measuring set in each section to be measured It is expressed as
Average speed in j-th of section to be measured of i road branch road, and by the average speed in each part of path to be measured and store number
It is compared according to the minimum value of vehicle standard speed at Image Acquisition point in the route to be measured stored in library, obtains section to be measured
Speed compares set Vi′(vi′1,vi′2,...,vi′j,...,vi' m), vi' j be expressed as j-th of i-th of road branch road to
The comparative situation between the minimum value of the vehicle standard speed corresponding with the section to be measured of the average speed in section is surveyed, according to be measured
Non-intersection speed compares set Vi' count the corresponding deduction congestion coefficient gamma in the section to be measurediJ, Cloud Server is according to each road branch
The above corresponding deduction congestion coefficient in each section to be measured, obtains the practical congestion FACTOR P of each road branchi；
Meanwhile Cloud Server receives the pavement image information that each image acquisition terminal of each road branch road is sent, and receives
Road image information obtain the corresponding number order of terminal according to each image in same road branch road and be ranked up, constitute road
Image information set Bi(bi1,bi2,...,bij,...,biM), biIt is whole that j is expressed as i-th of j-th of road of road branch Image Acquisition
Hold send pavement image information, and by each pavement image in the road image information aggregate of acquisition respectively with vehicle storage number
It is compared one by one according to each standard vehicle image stored in library, to filter out the standard vehicle figure to match with each pavement image
As corresponding vehicular traffic judges that numerical value, each image of acquisition obtain the vehicular traffic that terminal acquires and judges that numerical value constitutes terminal and hands over
Official under county magistrate who administers lawsuit, etc. is broken numerical value set Hi(hi1,hi2,...,hij,...,hiM), hiJ-th of image that j is expressed as i-th of road branch road obtains
The corresponding vehicular traffic of terminal is taken to judge numerical value, and terminal traffic judges that each vehicular traffic in numerical value set judges numerical value hij
(j=1,2 ..., m) be equal to vehicular traffic judge set of values X=x1, x2 ..., xu ..., xq } in a vehicular traffic
Judge numerical value, and terminal traffic is judged into numerical value set HiMiddle next image obtain terminal corresponding vehicular traffic judge numerical value and
A upper image obtains the corresponding vehicular traffic of terminal and judges that numerical value is made the difference, and obtains terminal comparison traffic and judges numerical value set Δ
Hi(Δhi1,Δhi2,...,Δhij,...,Δhi(m-1)), Δ hiJ is expressed as+1 image of jth of i-th of road branch road
It obtains the corresponding vehicular traffic of terminal and judges that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value；
Cloud Server receive road condition update module send weather basal conditions and each road branch it is each to be measured
Whether section constructs or occurs traffic accident, and weather basal conditions obtain rainfall and haze grade based on the received, extracts number
According to the corresponding rainwater resistivity of rainfall in storing data library and haze resistivity, and construction or traffic accident it is corresponding
Instantaneous resistivity, and the rainfall resistivity extracted in each section to be measured is constituted into rainfall resistivity set Ci(ci1,
ci2,...,cij,...,ciM), the haze resistivity in each section to be measured constitutes haze resistivity set Di(di1,
di2,...,dij,...,diM), and by each section to be measured whether construct or occur the corresponding instantaneous resistivity structure of traffic accident
At instantaneous resistivity set Fi(fi1,fi2,...,fij,...,fiM), wherein ciJ is expressed as i-th of road branch road jth
The corresponding rainfall resistivity in a section to be measured, diJ is expressed as the corresponding haze in j-th of i-th of road branch road section to be measured
Resistivity, fiJ is expressed as the corresponding instantaneous resistivity in j-th of i-th of road branch road section to be measured, and m is expressed as i-th
The quantity in road branch road section to be measured；
Cloud Server is according to the vehicle flowrate pressure coefficient Z in each section to be measuredij, each road branch practical congestion coefficient
Pi, terminal comparison traffic judge numerical value set Δ HiAnd rainfall resistivity, haze resistivity and instantaneous resistivity set
Count the comprehensive traffic congestion coefficient between each road branch upper section to be measured in road and next section to be measuredComprehensive traffic is gathered around
Stifled coefficient is bigger, then upper one section to be measured of same road branch road is more serious to the congestion level between next section to be measured, cloud
Comprehensive traffic congestion coefficient between upper one section to be measured and next section to be measured of each road branch road is sent to aobvious by server
Show terminal；
Display terminal is used to receive upper one section to be measured and next road to be measured of each road branch road of Cloud Server transmission
Section between comprehensive traffic congestion coefficient and shown.
Further, it is respectively f1, f2, f3, f4, f5, and f1 that the rainwater, which hinders the corresponding rainwater resistivity of grade,
< f2 < f3 < f4 < f5, haze hinder the corresponding haze resistivity of grade respectively and r1, r2, r3, and r1 < r2 < r3,
F1 is expressed as the corresponding rainwater resistivity of rainfall of 0.3-1mm/h, and f2 is expressed as the corresponding rainwater of rainfall of 1-2mm/h
Resistivity, f3 are expressed as the corresponding rainwater resistivity of rainfall of 2-3mm/h, and f4 is expressed as the rainfall pair of 3-4mm/h
The rainwater resistivity answered, f5 are expressed as rainfall greater than rainwater resistivity corresponding to 4mm/h, and r1 is expressed as moderate haze pair
The haze resistivity answered, table r2 are shown as the corresponding haze resistivity of moderate haze, and r3 is expressed as the corresponding haze resistance of serious haze
Hinder coefficient.
Further, the rainfall resistivity set Ci(ci1,ci2,...,cij,...,ciM) each rainfall hinders system in
Number is f1, f2, f3, one in f4, f5, haze resistivity set Di(di1,di2,...,dij,...,diM) each haze in
Resistivity be middle r1, one of r2, r3, instantaneous resistivity set Fi(fi1,fi2,...,fij,...,fiM) each instantaneous in
Resistivity is equal to G, and G is equal to 1 or 0.
Further, the weather basal conditions include rainfall and haze grade.
Further, the car-mounted terminal includes vehicle-speed monitoring unit, positioning unit, processor and data transmission unit,
Processor is connect with vehicle-speed monitoring unit, positioning unit, data transmission unit respectively；
Vehicle-speed monitoring unit is vehicle speed sensor, and for the speed of real-time detection vehicle, and the speed that will test is sent to
Processor, positioning unit for obtaining the location information of vehicle in real time, and the vehicle location that will acquire is sent to processor, processing
The vehicle position information that device receives the speed that vehicle-speed monitoring unit is sent and positioning unit is sent, and by received speed and
The location information of the vehicle is sent to data transmission unit, and data transmission unit sends out the corresponding speed of the vehicle and location information
It send to vehicle storage database.
Further, described image obtain terminal include timing unit, reset unit, image acquisition units, controller and
Data communication units, controller are connect with timing unit, reset unit, image acquisition units and data communication units respectively, multiple
Bit location is connect with timing unit；
Timing unit is sent to controller for carrying out accumulative timing, and by the accumulative time, and reset unit is for receiving
The time that the control instruction that controller is sent adds up timing unit is zeroed out, and image acquisition units are high-definition camera, uses
Vehicle image information where acquisition at Image Acquisition point, and the vehicle image information of acquisition is sent to controller, it controls
Device receives the accumulated time that timing unit is sent, and compares to the time threshold of received accumulated time and setting, if accumulation
Time is equal to the time threshold of setting, then controller, which is sent, resets control instruction to reset unit, controls reset unit to timing
The time of unit accumulation is zeroed out, meanwhile, send shooting control instruction to image acquisition units, control image acquisition units into
Row image taking, and controller receives the vehicle image information that image acquisition units are sent, and by received vehicle image information
It is sent to data communication units；Data communication units are used to receive the vehicle image information of controller transmission, and by received road
Face image information is sent to Cloud Server.
Further, any one standard vehicle image yu in the standard vehicle image set, judges number in vehicular traffic
Value, which is concentrated with, judges numerical value xu with the most matched vehicular traffic of standard vehicle image yu, and vehicular traffic judges that value set is any
One vehicular traffic numerical value xu is concentrated in standard vehicle image and judges the most matched standard vehicle of numerical value xu with the vehicular traffic
Image yu.
Further, statistic processes of the Cloud Server to practical congestion coefficient, comprising the following steps:
S1, each road branch corresponding deduction congestion coefficient in each section to be measured on the road is obtained, and constitutes and infers congestion coefficient set
Close γi(γi1,γi2,...,γij,...,γiM), γiIt is corresponding that j is expressed as i-th of road branch road, j-th of section to be measured
Infer congestion coefficient；
S2, it obtains and infers the corresponding transposed matrix γ of congestion coefficient sets in step S1i T；
S3, calculate the practical congestion coefficient for obtaining the corresponding road branch in the section to be measured, the formula used forM is expressed as the quantity in i-th of road branch road section to be measured, γi TIt is expressed as inferring congestion coefficient set
The transposed matrix of conjunction, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch.
Further, the calculation formula for inferring congestion coefficient is
λ is expressed as integrated contributory factor, takes 0.68, vIj marks maxThe vehicle being expressed as in i-th of road branch road, j-th of section to be measured
The maximum value of standard speed, vIj marks minIt is expressed as the vehicle standard speed in i-th of road branch road, j-th of section to be measured
Minimum value.
Further, the calculation formula of the comprehensive traffic congestion coefficient is
Be expressed as i-th of section to be measured of road branch road jth -1 to j-th of section to be measured comprehensive traffic congestion coefficient,
ZijThe vehicle flowrate pressure coefficient being expressed as in i-th of road branch road, j-th of section to be measured, Zi(j-1)It is expressed as i-th of road branch
Vehicle flowrate pressure coefficient in the section to be measured of road jth -1, Δ hiJ is expressed as+1 image of jth of i-th of road branch road
It obtains the corresponding vehicular traffic of terminal and judges that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch, ci(j-1) and ciJ is expressed as i-th of road branch
The corresponding rainfall resistivity in upper jth -1 and j-th section to be measured, di(j-1) and diJ is expressed as i-th of road branch
The corresponding haze resistivity in upper jth -1 and j-th section to be measured, fi(j-1) and fiJ is expressed as i-th of road branch
The corresponding instantaneous resistivity in upper jth -1 and j-th section to be measured.
Beneficial effects of the present invention:
A kind of Intelligent road traffic tracing management system based on big data Image Acquisition provided by the invention, by vehicle-mounted
The speed and location information of terminal acquisition vehicle are simultaneously sent to Cloud Server, and obtain each image of terminal acquisition by image and adopt
Road vehicles image at collection point, and car-mounted terminal and image obtain terminal combination Cloud Server and road condition update module,
To in section to be measured car speed and position and road vehicles image analyzed, handled, obtain in each section to be measured
Vehicle flowrate pressure coefficient, the practical congestion coefficient of each road branch, terminal comparison traffic judge numerical value and rainfall resistivity,
Haze resistivity and instantaneous resistivity, and then obtain the comprehensive traffic congestion coefficient between adjacent section to be measured, the system energy
Enough traffic conditions accurately analyzed between adjacent section to be measured, have the characteristics that intelligence, convenient for showing road to be measured for administrative staff
The congestion level of section, realizes the tracing management of road traffic, recommends reliably reference frame for later period route or travel by vehicle.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of signal of the Intelligent road traffic tracing management system based on big data Image Acquisition in the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of Intelligent road traffic tracing management system based on big data Image Acquisition, including number
According to storing data library, region division module, condition of road surface update module, Cloud Server, vehicle storage database, several vehicle-mounted ends
End, several images obtain terminal and display terminal；Cloud Server respectively with condition of road surface update module, vehicle storage database,
Datum number storage obtains terminal according to library, display terminal, several car-mounted terminals and several images and connects, region division module and data
The connection of storing data library, car-mounted terminal are connect with vehicle storage database.
For datum number storage according to library for storing the corresponding number of each road branch, each road branch is suitable according to the sequence of setting
Sequence is numbered, and respectively 1,2 ..., i ..., n, section of the road branch between adjacent intersection, each road branch
Road is provided at least one Image Acquisition point, and image is equipped at Image Acquisition point and obtains terminal, same road branch road
Image Acquisition point is numbered according to the direction of vehicle driving, and respectively 1,2 ..., j ..., m, and store each Image Acquisition point
The vehicle standard speed at place, the highest of max. speed and road branch permission that the standard speed allows in the road branch
Between 40% range of speed；
In addition, being stored with the corresponding rainwater resistivity of different rainfalls, haze grade and haze resistivity, rain
Water resistance hinders the corresponding rainwater resistivity of grade to be respectively f1, f2, f3, f4, f5, and f1 < f2 < f3 < f4 < f5, haze resistance
Hinder the corresponding haze resistivity of grade respectively and r1, r2, r3, and r1 < r2 < r3, wherein f1 is expressed as 0.3-1mm/h
The corresponding rainwater resistivity of rainfall, f2 is expressed as the corresponding rainwater resistivity of rainfall of 1-2mm/h, and f3 is expressed as
The corresponding rainwater resistivity of the rainfall of 2-3mm/h, f4 are expressed as the corresponding rainwater resistivity of rainfall of 3-4mm/h,
F5 is expressed as rainfall greater than rainwater resistivity corresponding to 4mm/h, and r1 is expressed as the corresponding haze resistivity of moderate haze,
Table r2 is shown as the corresponding haze resistivity of moderate haze, and r3 is expressed as the corresponding haze resistivity of serious haze, and stores road
Whether road surface has instantaneous resistivity G corresponding to construction or traffic accident to take G etc. if there are construction or traffic accident in road surface
In 1, anyway, then take G to be equal to 0；
Region division module is divided into several roads to be measured for dividing to fix road section length to each road branch
Section, the section to be measured of same road branch road are successively numbered each section to be measured according to vehicle forward direction, and respectively 1,
2 ..., j ..., m, and the center position in each section to be measured is provided with Image Acquisition point, pacifies at Image Acquisition point
Terminal is obtained equipped with image；
Road condition update module is used to input the weather basal conditions on the same day and each section to be measured of each road branch
Whether there are construction or a traffic accident, and whether the road surface of the weather basic condition of input and each road branch is constructed or traffic thing
Therefore information is sent to Cloud Server, wherein the weather basal conditions include rainfall and haze grade；
Car-mounted terminal is installed on vehicle, for the position where real-time monitoring vehicle current vehicle speed and vehicle, and will
The speed and vehicle location of detection are sent to vehicle storage database；
Car-mounted terminal includes vehicle-speed monitoring unit, positioning unit, processor and data transmission unit, processor respectively with vehicle
Slowdown monitoring unit, positioning unit, data transmission unit connection, vehicle-speed monitoring unit are vehicle speed sensor, are used for real-time detection vehicle
Speed, and the speed that will test is sent to processor, and positioning unit will be obtained for obtaining the location information of vehicle in real time
The vehicle location taken is sent to processor, the vehicle that processor receives the speed that vehicle-speed monitoring unit is sent and positioning unit is sent
Location information, and the location information of received speed and the vehicle is sent to data transmission unit, data transmission unit will
The corresponding speed of the vehicle and location information are sent to vehicle storage database；
Vehicle storage database receives the vehicle that each car-mounted terminal sends vehicle driving for storing road branch distribution map
It speed and location information and is stored, while the corresponding position of vehicle being labeled on road branch distribution map；
In addition, vehicle storage database is for storing various criterion vehicle image, at least vehicle in each standard vehicle image
Distributing position and a feature difference in vehicle fleet size, each standard vehicle image construction standard vehicle image set Y=y1,
Y2 ..., yu ..., yq }, su is expressed as u-th of standard vehicle image, and each standard vehicle image corresponds to a vehicular traffic
Judge numerical value, the corresponding vehicular traffic of each standard vehicle image judge numerical value constitute vehicular traffic judge set of values X=x1,
X2 ..., xu ..., xq }, wu is expressed as u-th of vehicular traffic and judges numerical value, and the vehicular traffic judges that numerical value indicates original
Vehicle judges congestion coefficient, and each standard vehicle image in standard vehicle image set judges each vehicle of value set with vehicular traffic
Traffic judges between numerical value for mapping relations one by one, i.e., any one standard vehicle image yu in standard vehicle image set, in vehicle
Traffic judges that value set has and judges numerical value xu, vehicular traffic judgement with the most matched vehicular traffic of standard vehicle image yu
Any one of value set vehicular traffic numerical value xu is concentrated in standard vehicle image and judges numerical value xu most with the vehicular traffic
The standard vehicle image yu matched；
Image obtains terminal and is mounted at each Image Acquisition point of each road branch road, the figure being mounted at Image Acquisition point
Identical as the corresponding number of Image Acquisition point as obtaining terminal, described image acquisition terminal is with set time end acquisition road surface
Image information, meanwhile, the corresponding location information of Image Acquisition terminal is obtained, and the pavement image information of acquisition is sent to cloud clothes
Business device；
It includes timing unit, reset unit, image acquisition units, controller and data communication unit that described image, which obtains terminal,
Member, controller are connect with timing unit, reset unit, image acquisition units and data communication units respectively, reset unit and meter
Shi Danyuan connection；
Timing unit is sent to controller for carrying out accumulative timing, and by the accumulative time, and reset unit is for receiving
The time that the control instruction that controller is sent adds up timing unit is zeroed out, and image acquisition units are high-definition camera, uses
Vehicle image information where acquisition at Image Acquisition point, and the vehicle image information of acquisition is sent to controller, it controls
Device receives the accumulated time that timing unit is sent, and compares to the time threshold of received accumulated time and setting, if accumulation
Time is equal to the time threshold of setting, then controller, which is sent, resets control instruction to reset unit, controls reset unit to timing
The time of unit accumulation is zeroed out, meanwhile, send shooting control instruction to image acquisition units, control image acquisition units into
Row image taking, and controller receives the vehicle image information that image acquisition units are sent, and by received vehicle image information
It is sent to data communication units；Data communication units are used to receive the vehicle image information of controller transmission, and by received road
Face image information is sent to Cloud Server；
The section to be measured that Cloud Server is divided according to region division module, each car-mounted terminal in calculating vehicle storing data library
Vehicle fleet size in each section to be measured, the vehicle fleet size in each section to be measured constitute vehicle fleet size set S to be measuredi(si1,
si2,...,sij,...,siM), siJ is expressed as the vehicle fleet size in i-th of road branch road, j-th of section to be measured, and will be same
Vehicle fleet size in the previous section to be measured of the vehicle fleet size and the section to be measured in section to be measured on one road branch carries out
Comparison, obtains comparing vehicle fleet size set S to be measuredi′(si′1,si′2,...,si′j,...,si' (m-1)), si' j is expressed as i-th
The difference between the vehicle fleet size in vehicle fleet size and jth+1 section to be measured in j-th of the section to be measured in a road branch road, i.e.,
si' j=si(j+1)-siJ, Cloud Server is according to comparison vehicle fleet size set S to be measuredi', count the vehicle flowrate in each section to be measured
Pressure coefficientλ is expressed as impact factor, takes 10.6, si(j+1) it is expressed as i-th of road branch
Vehicle fleet size in the section to be measured of upper jth+1；
Cloud Server from obtaining the corresponding speed of vehicle in each section to be measured in vehicle storage database, acquisition it is each to be measured
Vehicle speed in section is ranked up according to the vertical sequence of vehicle and constitutes real-time speed set Vij(vij1,
vij2,...,vijt,....,vijK), vijIt is corresponding that t is expressed as t-th of vehicle on i-th of road by-path in j-th of section to be measured
Speed, vijK is expressed as the quantity of vehicle in i-th of road branch road, j-th of section to be measured, i.e. k=s in kiJ, Cloud Server
The average speed in each section to be measured is counted according to the real time speed measuring set in each section to be measured It is expressed as
Average speed in j-th of section to be measured of i road branch road, and by the average speed in each part of path to be measured and store number
It is compared according to the minimum value of vehicle standard speed at Image Acquisition point in the route to be measured stored in library, obtains section to be measured
Speed compares set Vi′(vi′1,vi′2,...,vi′j,...,vi' m), vi ' j be expressed as j-th of i-th of road branch road to
The comparative situation between the minimum value of the vehicle standard speed corresponding with the section to be measured of the average speed in section is surveyed, according to be measured
Non-intersection speed compares set Vi' count the corresponding deduction congestion coefficient in the section to be measured
λ is expressed as integrated contributory factor, takes 0.68, viJ mark max is expressed as in i-th of road branch road, j-th of section to be measured
The maximum value of vehicle standard speed, vIj marks minThe vehicle standard speed being expressed as in i-th of road branch road, j-th of section to be measured
Minimum value, Cloud Server counts each road branch according to the corresponding deduction congestion coefficient in each section to be measured in each road branch road
Practical congestion FACTOR Pi, the statistic processes of the practical congestion coefficient, specifically includes the following steps:
S1, each road branch corresponding deduction congestion coefficient in each section to be measured on the road is obtained, and constitutes and infers congestion coefficient set
Close γi(γi1,γi2,...,γij,...,γiM), γiIt is corresponding that j is expressed as i-th of road branch road, j-th of section to be measured
Infer congestion coefficient；
S2, it obtains and infers the corresponding transposed matrix γ of congestion coefficient sets in step S1i T；
S3, calculate the practical congestion coefficient for obtaining the corresponding road branch in the section to be measured, the formula used forM is expressed as the quantity in i-th of road branch road section to be measured, γi TIt is expressed as inferring congestion coefficient set
The transposed matrix of conjunction, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch.
Meanwhile Cloud Server receives the pavement image information that each image acquisition terminal of each road branch road is sent, and receives
Road image information obtain the corresponding number order of terminal according to each image in same road branch road and be ranked up, constitute road
Image information set Bi(bi1,bi2,...,bij,...,biM), biIt is whole that j is expressed as i-th of j-th of road of road branch Image Acquisition
Hold send pavement image information, and by each pavement image in the road image information aggregate of acquisition respectively with vehicle storage number
It is compared one by one according to each standard vehicle image stored in library, to filter out the standard vehicle figure to match with each pavement image
As corresponding vehicular traffic judges that numerical value, each image of acquisition obtain the vehicular traffic that terminal acquires and judges that numerical value constitutes terminal and hands over
Official under county magistrate who administers lawsuit, etc. is broken numerical value set Hi(hi1,hi2,...,hij,...,hiM), hiJ-th of image that j is expressed as i-th of road branch road obtains
The corresponding vehicular traffic of terminal is taken to judge numerical value, and terminal traffic judges that each vehicular traffic in numerical value set judges numerical value hij
(j=1,2 ..., m) be equal to vehicular traffic judge set of values X=x1, x2 ..., xu ..., xq } in a vehicular traffic
Judge numerical value, and terminal traffic is judged into numerical value set HiMiddle next image obtain terminal corresponding vehicular traffic judge numerical value and
A upper image obtains the corresponding vehicular traffic of terminal and judges that numerical value is made the difference, and obtains terminal comparison traffic and judges numerical value set Δ
Hi(Δhi1,Δhi2,...,Δhij,...,Δhi(m-1)), Δ hiJ is expressed as+1 image of jth of i-th of road branch road
It obtains the corresponding vehicular traffic of terminal and judges that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value；
Cloud Server receive road condition update module send weather basal conditions and each road branch it is each to be measured
Whether section constructs or occurs traffic accident, and weather basal conditions obtain rainfall and haze grade based on the received, extracts number
According to the corresponding rainwater resistivity of rainfall in storing data library and haze resistivity, and construction or traffic accident it is corresponding
Instantaneous resistivity, and the rainfall resistivity extracted in each section to be measured is constituted into rainfall resistivity set Ci(ci1,
ci2,...,cij,...,ciM), the haze resistivity in each section to be measured constitutes haze resistivity set Di(di1,
di2,...,dij,...,diM), and by each section to be measured whether construct or occur the corresponding instantaneous resistivity structure of traffic accident
At instantaneous resistivity set Fi(fi1,fi2,...,fij,...,fiM), wherein ciJ is expressed as i-th of road branch road jth
The corresponding rainfall resistivity in a section to be measured, diJ is expressed as the corresponding haze in j-th of i-th of road branch road section to be measured
Resistivity, fiJ is expressed as the corresponding instantaneous resistivity in j-th of i-th of road branch road section to be measured, and m is expressed as i-th
The quantity in road branch road section to be measured.
Cloud Server is according to the vehicle flowrate pressure coefficient Z in each section to be measuredij, each road branch practical congestion coefficient
Pi, terminal comparison traffic judge numerical value set Δ HiAnd rainfall resistivity, haze resistivity and instantaneous resistivity set
Count the comprehensive traffic congestion coefficient between each road branch upper section to be measured in road and next section to be measured
Be expressed as i-th of section to be measured of road branch road jth -1 to j-th of section to be measured comprehensive traffic congestion coefficient,
ZijThe vehicle flowrate pressure coefficient being expressed as in i-th of road branch road, j-th of section to be measured, Zi(j-1)It is expressed as i-th of road branch
Vehicle flowrate pressure coefficient in the section to be measured of road jth -1, Δ hiJ is expressed as+1 image of jth of i-th of road branch road
It obtains the corresponding vehicular traffic of terminal and judges that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch, ci(j-1) and ciJ is expressed as i-th of road branch
The corresponding rainfall resistivity in upper jth -1 and j-th section to be measured, di(j-1) and diJ is expressed as i-th of road branch
The corresponding haze resistivity in upper jth -1 and j-th section to be measured, fi(j-1) and fiJ is expressed as i-th of road branch
The corresponding instantaneous resistivity in upper jth -1 and j-th section to be measured, comprehensive traffic congestion coefficient is bigger, shows that upper one is to be measured
Section is more serious to the congestion level between next section to be measured, and Cloud Server is by upper one section to be measured of each road branch road under
Comprehensive traffic congestion coefficient between one section to be measured is sent to display terminal；
Display terminal is used to receive upper one section to be measured and next road to be measured of each road branch road of Cloud Server transmission
Section between comprehensive traffic congestion coefficient and shown, by comprehensive traffic congestion coefficient can effectively to road traffic carry out
The congestion level between adjacent two section to be measured is effectively analyzed in tracking convenient for administrative staff, and then realizes have to traffic condition
Tracing management is imitated, and provides the reference of value for the push of later period route or travel by vehicle.
A kind of Intelligent road traffic tracing management system based on big data Image Acquisition provided by the invention, by vehicle-mounted
The speed and location information of terminal acquisition vehicle are simultaneously sent to Cloud Server, and obtain each image of terminal acquisition by image and adopt
Road vehicles image at collection point, and car-mounted terminal and image obtain terminal combination Cloud Server and road condition update module,
To in section to be measured car speed and position and road vehicles image analyzed, handled, obtain in each section to be measured
Vehicle flowrate pressure coefficient, the practical congestion coefficient of each road branch, terminal comparison traffic judge numerical value and rainfall resistivity,
Haze resistivity and instantaneous resistivity, and then obtain the comprehensive traffic congestion coefficient between adjacent section to be measured, the system energy
Enough traffic conditions accurately analyzed between adjacent section to be measured, have the characteristics that intelligence, convenient for showing road to be measured for administrative staff
The congestion level of section, realizes the tracing management of road traffic, recommends reliably reference frame for later period route or travel by vehicle.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (10)
1. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition, it is characterised in that: deposited including data
Store up database, region division module, condition of road surface update module, Cloud Server, vehicle storage database, several car-mounted terminals,
Several images obtain terminal and display terminal；
If Cloud Server respectively with condition of road surface update module, vehicle storage database, datum number storage according to library, display terminal,
Dry turning mounted terminal and several images obtain terminal and connects, and region division module and datum number storage are connected according to library, car-mounted terminal and
The connection of vehicle storage database；
Datum number storage according to library for storing the corresponding number of each road branch, each road branch according to setting collating sequence into
Row number, respectively 1,2 ..., i ..., n, section of the road branch between adjacent intersection, each road branch road
It is provided at least one Image Acquisition point, image is installed at Image Acquisition point and obtains terminal, the image of same road branch road
Collection point is numbered according to the direction of vehicle driving, and respectively 1,2 ..., j ..., m, and store at each Image Acquisition point
Vehicle standard speed；
In addition, it is stored with the corresponding different rainwater resistivities of different rainfalls, haze grade and haze resistivity, and
Whether storage pavement of road has instantaneous resistivity G corresponding to construction or traffic accident, if there are construction or traffic accident in road surface,
G is then taken to be equal to 1, anyway, then take G to be equal to 0；
Region division module is divided into several sections to be measured, together for dividing to fix road section length to each road branch
Section to be measured on one road branch is successively numbered each section to be measured according to vehicle forward direction, respectively 1,2 ...,
J ..., m, and the center position in each section to be measured is provided with Image Acquisition point, is equipped with figure at Image Acquisition point
As obtaining terminal；
Road condition update module be used for input on the day of weather basal conditions and each road branch each section to be measured whether
There are construction or a traffic accident, and whether the road surface of the weather basic condition of input and each road branch is constructed or traffic accident is believed
Breath is sent to Cloud Server；
Car-mounted terminal is installed on vehicle, and for the position where real-time monitoring vehicle current vehicle speed and vehicle, and will test
Speed and vehicle location be sent to vehicle storage database；
Vehicle storage database for storing road branch distribution map, and receive each car-mounted terminal send vehicle driving speed and
It location information and is stored, while the corresponding position of vehicle being labeled on road branch distribution map；
In addition, vehicle storage database is for storing various criterion vehicle image, at least vehicle divides in each standard vehicle image
Cloth position and a feature difference in vehicle fleet size, each standard vehicle image construction standard vehicle image set Y=y1,
Y2 ..., yu ..., yq }, su is expressed as u-th of standard vehicle image, and each standard vehicle image corresponds to a vehicular traffic
Judge numerical value, the corresponding vehicular traffic of each standard vehicle image judge numerical value constitute vehicular traffic judge set of values X=x1,
X2 ..., xu ..., xq }, wu is expressed as u-th of vehicular traffic and judges numerical value, and the vehicular traffic judges that numerical value indicates original
Vehicle judges congestion coefficient, and each standard vehicle image in standard vehicle image set judges each vehicle of value set with vehicular traffic
Traffic judges between numerical value for mapping relations one by one；
Image obtains terminal and is mounted at each Image Acquisition point of each road branch road, is mounted on the image at Image Acquisition point and obtains
Take terminal identical as the corresponding number of Image Acquisition point, described image acquisition terminal is with the image on set time end acquisition road surface
Information, meanwhile, the corresponding location information of Image Acquisition terminal is obtained, and the pavement image information of acquisition is sent to cloud service
Device；
The section to be measured that Cloud Server is divided according to region division module, each car-mounted terminal is each in calculating vehicle storing data library
Vehicle fleet size in section to be measured, the vehicle fleet size in each section to be measured constitute vehicle fleet size set S to be measuredi(si1,si2,...,
sij,...,siM), siJ is expressed as the vehicle fleet size in i-th of road branch road, j-th of section to be measured, and by same road branch
Vehicle fleet size in the section to be measured of road is compared with the vehicle fleet size in the previous section to be measured in the section to be measured, is obtained
Compare vehicle fleet size set S ' to be measuredi(s′i1,s′i2,...,s′ij,...,s′i(m-1)), s 'iJ is expressed as i-th of road branch
Difference between vehicle fleet size in vehicle fleet size and jth+1 section to be measured in j-th of section to be measured on the road, i.e. s 'iJ=si
(j+1)-siJ, Cloud Server is according to comparison vehicle fleet size set S ' to be measuredi, count the vehicle flowrate pressure coefficient in each section to be measuredλ is expressed as impact factor, takes 10.6, si(j+1) it is expressed as i-th of road branch road jth+1
Vehicle fleet size in section to be measured；
Cloud Server is from obtaining the corresponding speed of vehicle in each section to be measured, each section to be measured of acquisition in vehicle storage database
Interior vehicle speed is ranked up according to the vertical sequence of vehicle and constitutes real-time speed set Vij(vij1,vij2,...,
vijt,....,vijK), vijT is expressed as the corresponding speed of t-th of vehicle on i-th of road by-path in j-th of section to be measured,
vijK is expressed as the quantity of vehicle in i-th of road branch road, j-th of section to be measured, i.e. k=s in kiJ, Cloud Server is according to each
Real time speed measuring set in section to be measured counts the average speed in each section to be measured It is expressed as i-th
Average speed in j-th of section to be measured of road branch road, and by each part of path to be measured average speed and storing data library
The minimum value of vehicle standard speed compares at Image Acquisition point in the route to be measured of middle storage, obtains non-intersection speed to be measured
Compare set V 'i(v′i1,v′i2,...,v′ij,...,v′iM), v 'iJ is expressed as j-th of road to be measured of i-th of road branch road
Comparative situation between the minimum value of average speed vehicle standard speed corresponding with the section to be measured in section, according to section to be measured
Speed compares set V 'iCount the corresponding deduction congestion coefficient gamma in the section to be measurediJ, Cloud Server are each according to each road branch road
The corresponding deduction congestion coefficient in section to be measured, obtains the practical congestion FACTOR P of each road branchi；
Meanwhile Cloud Server receives the pavement image information that each image acquisition terminal of each road branch road is sent, received road
Road image information obtains the corresponding number order of terminal according to each image in same road branch road and is ranked up, and constitutes road image
Information aggregate Bi(bi1,bi2,...,bij,...,biM), biJ is expressed as i-th of j-th of road branch road Image Acquisition terminal hair
The pavement image information sent, and by each pavement image in the road image information aggregate of acquisition respectively with vehicle storage database
Each standard vehicle image of middle storage is compared one by one, to filter out the standard vehicle image pair to match with each pavement image
The vehicular traffic answered judges numerical value, and the vehicular traffic that each image of acquisition obtains terminal acquisition judges that numerical value constitutes terminal traffic and sentences
Disconnected numerical value set Hi(hi1,hi2,...,hij,...,hiM), hiJ-th of image that j is expressed as i-th of road branch road obtains eventually
Corresponding vehicular traffic is held to judge numerical value, and terminal traffic judges that each vehicular traffic in numerical value set judges numerical value hiJ (j=
1,2 ..., m) be equal to vehicular traffic judge set of values X=x1, x2 ..., xu ..., xq } in a vehicular traffic judgement
Numerical value, and terminal traffic is judged into numerical value set HiMiddle next image obtains the corresponding vehicular traffic of terminal and judges numerical value and upper one
Image obtains the corresponding vehicular traffic of terminal and judges that numerical value is made the difference, and obtains terminal comparison traffic and judges numerical value set Δ Hi
(Δhi1,Δhi2,...,Δhij,...,Δhi(m-1)), Δ hi+ 1 image of jth that j is expressed as i-th of road branch road obtains
The corresponding vehicular traffic of terminal is taken to judge that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value；
Cloud Server receives each section to be measured of the weather basal conditions that road condition update module is sent and each road branch
Whether construct or traffic accident occurs, weather basal conditions obtain rainfall and haze grade based on the received, extract data and deposit
Store up the corresponding rainwater resistivity of rainfall and haze resistivity in database, and construction or traffic accident it is corresponding instantaneous
Resistivity, and the rainfall resistivity extracted in each section to be measured is constituted into rainfall resistivity set Ci(ci1,ci2,...,
cij,...,ciM), the haze resistivity in each section to be measured constitutes haze resistivity set Di(di1,di2,...,
dij,...,diM), and by each section to be measured corresponding instantaneous resistivity of traffic accident of whether constructing or occur constitute instantaneous resistance
Hinder coefficient sets Fi(fi1,fi2,...,fij,...,fiM), wherein ciJ is expressed as i-th of road branch road, j-th of road to be measured
The corresponding rainfall resistivity of section, diJ is expressed as the corresponding haze resistivity in j-th of i-th of road branch road section to be measured,
fiJ is expressed as the corresponding instantaneous resistivity in j-th of i-th of road branch road section to be measured, and m is expressed as i-th of road branch
The quantity in upper section to be measured；
Cloud Server is according to the vehicle flowrate pressure coefficient Z in each section to be measuredij, each road branch practical congestion FACTOR Pi, eventually
End comparison traffic judges numerical value set Δ HiAnd rainfall resistivity, haze resistivity and instantaneous resistivity set statistics
Comprehensive traffic congestion coefficient between each road branch upper section to be measured in road and next section to be measuredComprehensive traffic congestion system
Number is bigger, then upper one section to be measured of same road branch road is more serious to the congestion level between next section to be measured, cloud service
Comprehensive traffic congestion coefficient between upper one section to be measured and next section to be measured of each road branch road is sent to display eventually by device
End；
Display terminal is used to receive between upper one section to be measured and next section to be measured of each road branch road of Cloud Server transmission
Comprehensive traffic congestion coefficient and shown.
2. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: it is respectively f1, f2, f3, f4, f5, and f1 < f2 < f3 that the rainwater, which hinders the corresponding rainwater resistivity of grade,
< f4 < f5, haze hinder that the corresponding haze resistivity of grade is respectively and r1, r2, r3, and r1 < r2 < r3, f1 are expressed as
The corresponding rainwater resistivity of the rainfall of 0.3-1mm/h, the corresponding rainwater of rainfall that f2 is expressed as 1-2mm/h hinder system
Number, f3 are expressed as the corresponding rainwater resistivity of rainfall of 2-3mm/h, and f4 is expressed as the corresponding rain of rainfall of 3-4mm/h
Water resistivity, f5 are expressed as rainfall greater than rainwater resistivity corresponding to 4mm/h, and r1 is expressed as the corresponding mist of moderate haze
Haze resistivity, table r2 are shown as the corresponding haze resistivity of moderate haze, and r3 is expressed as the corresponding haze resistivity of serious haze.
3. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
It is characterized in that: the rainfall resistivity set Ci(ci1,ci2,...,cij,...,ciM) each rainfall resistivity is f1 in,
One in f2, f3, f4, f5, haze resistivity set Di(di1,di2,...,dij,...,diM) each haze resistivity in
For middle r1, one of r2, r3, instantaneous resistivity set Fi(fi1,fi2,...,fij,...,fiM) each instantaneous resistivity in
It is equal to G, and G is equal to 1 or 0.
4. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: the weather basal conditions include rainfall and haze grade.
5. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: the car-mounted terminal includes vehicle-speed monitoring unit, positioning unit, processor and data transmission unit, processor point
It is not connect with vehicle-speed monitoring unit, positioning unit, data transmission unit；
Vehicle-speed monitoring unit is vehicle speed sensor, and for the speed of real-time detection vehicle, and the speed that will test is sent to processing
Device, positioning unit for obtaining the location information of vehicle in real time, and the vehicle location that will acquire is sent to processor, and processor connects
The vehicle position information that the speed and positioning unit that the slowdown monitoring unit that returns the vehicle to the garage and knock off is sent are sent, and by received speed and the vehicle
Location information be sent to data transmission unit, the corresponding speed of the vehicle and location information are sent to by data transmission unit
Vehicle storage database.
6. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: it includes timing unit, reset unit, image acquisition units, controller and data communication that described image, which obtains terminal,
Unit, controller are connect with timing unit, reset unit, image acquisition units and data communication units respectively, reset unit with
Timing unit connection；
Timing unit is sent to controller for carrying out accumulative timing, and by the accumulative time, and reset unit is for receiving control
The time that the control instruction that device is sent adds up timing unit is zeroed out, and image acquisition units are high-definition camera, for adopting
Vehicle image information where collection at Image Acquisition point, and the vehicle image information of acquisition is sent to controller, controller connects
The accumulated time that timing unit is sent is received, the time threshold of received accumulated time and setting is compared, if accumulated time
Equal to the time threshold of setting, then controller, which is sent, resets control instruction to reset unit, controls reset unit to timing unit
The time of accumulation is zeroed out, meanwhile, shooting control instruction is sent to image acquisition units, is controlled image acquisition units and is carried out figure
As shooting, and controller receives the vehicle image information that image acquisition units are sent, and received vehicle image information is sent
To data communication units；Data communication units are used to receive the vehicle image information of controller transmission, and by received road surface figure
As information is sent to Cloud Server.
7. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: any one standard vehicle image yu in the standard vehicle image set judges that value set has in vehicular traffic
Numerical value xu is judged with the most matched vehicular traffic of standard vehicle image yu, and vehicular traffic judges any one of value set vehicle
Traffic numerical value xu is concentrated in standard vehicle image and judges the most matched standard vehicle image yu of numerical value xu with the vehicular traffic.
8. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
It is characterized in that: statistic processes of the Cloud Server to practical congestion coefficient, comprising the following steps:
S1, each road branch corresponding deduction congestion coefficient in each section to be measured on the road is obtained, and constitutes and infers congestion coefficient sets γi
(γi1,γi2,...,γij,...,γiM), γiJ is expressed as the corresponding deduction in j-th of i-th of road branch road section to be measured
Congestion coefficient；
S2, it obtains and infers the corresponding transposed matrix γ of congestion coefficient sets in step S1i T；
S3, calculate the practical congestion coefficient for obtaining the corresponding road branch in the section to be measured, the formula used forM is expressed as the quantity in i-th of road branch road section to be measured, γi TIt is expressed as inferring congestion coefficient set
The transposed matrix of conjunction, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch.
9. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1, feature
Be: the calculation formula for inferring congestion coefficient is
λ is expressed as integrated contributory factor, takes 0.68, vIj marks maxThe vehicle mark being expressed as in i-th of road branch road, j-th of section to be measured
The maximum value of quasi- speed, vIj marks minIt is expressed as the minimum of the vehicle standard speed in i-th of road branch road, j-th of section to be measured
Value.
10. a kind of Intelligent road traffic tracing management system based on big data Image Acquisition according to claim 1,
Be characterized in that: the calculation formula of the comprehensive traffic congestion coefficient is
Be expressed as i-th of section to be measured of road branch road jth -1 to j-th of section to be measured comprehensive traffic congestion coefficient,
ZijThe vehicle flowrate pressure coefficient being expressed as in i-th of road branch road, j-th of section to be measured, Zi(j-1)It is expressed as i-th of road branch
Vehicle flowrate pressure coefficient in the section to be measured of road jth -1, Δ hiJ is expressed as+1 image of jth of i-th of road branch road
It obtains the corresponding vehicular traffic of terminal and judges that numerical value vehicular traffic corresponding with j-th of image acquisition terminal judges the difference between numerical value
Value, PiIt is expressed as the corresponding practical congestion coefficient of i-th of road branch, ci(j-1) and ciJ is expressed as i-th of road branch
The corresponding rainfall resistivity in upper jth -1 and j-th section to be measured, di(j-1) and diJ is expressed as i-th of road branch
The corresponding haze resistivity in upper jth -1 and j-th section to be measured, fi(j-1) and fiJ is expressed as i-th of road branch
The corresponding instantaneous resistivity in upper jth -1 and j-th section to be measured.
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| CN110728841A (en) * | 2019-10-23 | 2020-01-24 | 江苏广宇协同科技发展研究院有限公司 | Traffic flow acquisition method, device and system based on vehicle-road cooperation |
| CN110782671A (en) * | 2019-11-22 | 2020-02-11 | 斑马网络技术有限公司 | Real-time updating method and server for road congestion state |
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| CN112581753A (en) * | 2019-12-30 | 2021-03-30 | 西安金路交通工程科技发展有限责任公司 | Regional road network dynamic traffic distribution method and system based on omnibearing three-dimensional detection |
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| CN111563425A (en) * | 2020-04-22 | 2020-08-21 | 蘑菇车联信息科技有限公司 | Traffic incident identification method and electronic equipment |
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| CN113487882A (en) * | 2021-06-16 | 2021-10-08 | 东风柳州汽车有限公司 | Driving warning method, device, equipment and storage medium |
| CN115100631A (en) * | 2022-07-18 | 2022-09-23 | 浙江省交通运输科学研究院 | Road map acquisition system and method for multi-source information composite feature extraction |
| CN116403411A (en) * | 2023-06-08 | 2023-07-07 | 山东协和学院 | Traffic jam prediction method and system based on multiple signal sources |
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| CN116580565A (en) * | 2023-07-12 | 2023-08-11 | 深圳比特耐特信息技术股份有限公司 | Government affair big data analysis system based on cloud computing |
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