CN107730890A - A kind of intelligent transportation method based on wagon flow speed prediction under real-time scene - Google Patents
A kind of intelligent transportation method based on wagon flow speed prediction under real-time scene Download PDFInfo
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- G—PHYSICS
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- 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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Abstract
The invention discloses a kind of intelligent transportation method based on wagon flow speed prediction under implement scene, including：Gather the video information at traffic road junction；According to the video information of collection, traffic integrated information is analyzed, traffic integrated information is loaded into historical traffic integrated information；Traffic model is built according to historical traffic integrated information, predicts prediction traffic integrated information of the traffic road junction in following scheduled time node；According to traffic integrated information is predicted, the traffic grade signal at the traffic road junction is generated；According to traffic grade signal, the execution of control traffic road junction traffic lights.The present invention passes through existing monitoring system, obtain traffic data, pass through modeling, the traffic grade scheme of future time point, then amendment in time are formulated, ensure that and traffic lights is controlled with simple structure, promptness is high, traffic control effect is good, and real-time matching degree is high, can effectively avoid the jam situation at traffic road junction.
Description
Technical field
The present invention relates to field of traffic control, especially a kind of intelligent transportation based on wagon flow speed prediction under real-time scene
Method.
Background technology
With the high speed development of national economy and the quickening of urbanization process, China's vehicle ownership and road Traffic Volume
Sharply increase.Especially add in big city, thus traffic congestion obstruction and caused traffic accident increase and environmental pollution
Play, be China city face it is extremely serious the problem of one of, and they turn into the bottle that has further developed of national economy
Neck problem.Based on this, intelligent transportation system is arisen at the historic moment, and its essence is exactly effective application by information technology, maximum limit
Degree ground plays existing traffic infrastructure and potentiality, and guides rational traffic behavior.And the detection of wagon flow speed, real-time traffic
The detection of scene is basis and the core of intelligent transportation system.Just there are a variety of method detection wagon flow speeds at present, such as：Electromagnetism sense
Answer the ultrasonic Detection Method of installation method, acoustic testing system method, laser radar detection method and car flow information.They all have high property
Energy, precision height, small volume, it is easy to operate the features such as.But in fact, either because of advancing car speed, species all the time
Change, so the problem of generally existing reflected signal is unstable, and measurement error is big；It is either because with high costs, it is necessary to organize
Construction, destroy road surface the problems such as.
With computer technology, image processing techniques, artificial intelligence and pattern-recognition, automatic control technology, and electronics
The development of the technologies such as sensor technology, the intelligent transportation to wagon flow speed effective detection under real-time scene and prediction are possibly realized.
There is lot of advantages using image detecting method：For example the coverage of its detection is big, the parameter of detection is more；Installation is simple, dimension
Shield is convenient, does not destroy road surface, low engineering cost；It is widely applicable, go for section, intersection etc.；And it can realize
Round-the-clock detection.
At present, existing image detecting technique mainly has two in the method that intelligent transportation carries out context of detection to wagon flow speed
Kind, otherwise be based on temporal information in image sequence, or be based on spatial information in image sequence, such as：
1）Optical flow method, the monochrome information of target is corresponded to when an object is moving, on image（Light stream）Also corresponding motion.So, root
The size and Orientation of each pixel motion can be calculated according to time upper adjacent several two field pictures, so as to be distinguished using sports ground
Background and moving target.Due to the order of accuarcy of light stream to be relied on estimation, most number calculating method is considerably complicated and amount of calculation
It is especially big, so unless there are special hardware supported, otherwise it is difficult to realize detection in real time.
2）Background subtraction, by the image slices vegetarian refreshments gray value in live video stream with having stored or what is obtained in real time regards in advance
Analog value in frequency background model compares, undesirable pixel be considered as motion pixel, this be in video monitoring most
Conventional method for testing motion.The environmental change to caused by illumination and external condition of this method is excessively sensitive, will can usually transport
The part for being detected as its own of the shade mistake of moving-target.
Patent No.：CN201520661277.9（Publication date：2016.01.06）Patent disclose it is a kind of based on prison
Control the vehicle flow detection system of graphical analysis, including IMAQ end, client, server end and traffic handling system, collection
End is suspended in road traffic online traffic road and traffic intersection, gathers road vehicles pictorial information and sends to client；Client
A pictorial information that returns the vehicle to the garage and knock off is terminated, vehicle comprehensive information is analyzed and sends to server end and traffic handling system, vehicle synthesis
Information is comprehensive including vehicle, license number, wagon flow, speed.Server end generates the control of control traffic lights according to vehicle comprehensive information
Signal processed, sends control signals to traffic handling system；Traffic handling system controls traffic lights according to control signal, with
Dredge road traffic；And traffic handling system judges to send alarm to server end during traffic jam according to vehicle comprehensive information.
The scheme that traffic lights is controlled by monitor video data is the system disclose, but its needs is calculated traffic data in real time,
Amount of calculation is huge, and the power consumption of corresponding computing device is high；Meanwhile the patent not specifically discloses traffic grade scheme, efficiently controlling
In terms of traffic lights processed, obvious deficiency be present.
The content of the invention
The goal of the invention of the present invention is：For above-mentioned problem, there is provided one kind is based on wagon flow car under real-time scene
The intelligent transportation method of speed prediction, by less amount of calculation, is solved based on video image, the reasonable control to each road traffic lights
Problem processed.
To solve above-mentioned all or part of problem, the technical solution adopted by the present invention is as follows：
A kind of intelligent transportation method based on wagon flow speed prediction under implement scene, including：
S100：Gather the video information at traffic road junction；
S200：According to the video information of collection, analyze traffic integrated information, the traffic integrated information include wagon flow and
Speed；Preferably, it may also include vehicle；
S300：The traffic integrated information is loaded into historical traffic integrated information；
S400：Traffic model is built according to the historical traffic integrated information, predicts the traffic road junction in following pre- timing
The prediction traffic integrated information of intermediate node；
S500：According to the traffic grade signal predicted traffic integrated information, generate the traffic road junction；
S600：According to the traffic grade signal, the execution of traffic road junction traffic lights is controlled.
Such scheme, traffic integrated information is obtained by video acquisition and further processing, realizes and passes through simple structure
The scheme of traffic integrated information is obtained, avoid is needed around destruction/transformation road surface/road using ground induction coil or other inductors
The situation of environment.By the modeling to historical traffic data, realize to the future time node traffic road junction traffic synthesis letter
The prediction of breath, so as to formulate the applicable traffic grade scheme of future time node.The program is realized by historical traffic data
Reasonable control to traffic road junction traffic lights, solve the human cost for needing manual control and the more road junctions that can not manually complete connection
The problem of closing control.
Further, above-mentioned S400 is specially：
S4001：The historical traffic integrated information is received, traffic model is built according to the historical traffic integrated information；Also sentence
Whether disconnected current point in time is preset time node, if so, then performing S4002, otherwise, performs S4004；
S4002：According to S100-S200 method, real-time traffic integrated information is obtained；
S4003：The traffic model is modified according to the real-time traffic integrated information；
S4004：According to the traffic model, the prediction traffic for predicting the traffic road junction in following scheduled time node integrates
Information.
In such scheme, real-time traffic integrated information is obtained in scheduled time node, further traffic model is repaiied
Just, traffic grade rule and the matching degree of real time environment be ensure that.Meanwhile using the real-time side corrected rather than modeled again
Formula, reduce the amount of calculation of prediction, drastically increase the promptness of prediction.
Preferably, in above-mentioned S4001, the traffic model is built by regression analysis.
Traffic model building process based on the program, without huge data amount of calculation, so as to ensure that prediction and
Shi Xing；Meanwhile the goodness of fit of traffic model and actual scene is ensure that, so as to improve forecasting accuracy.
Preferably, in above-mentioned S300, the traffic integrated information is loaded into historical traffic synthesis to circulate memory module
Information.When expiring in the space for storing historical traffic integrated information, the new traffic integrated information being loaded onto covers original automatically
In historical traffic integrated information, the traffic integrated information that is stored at first, what space was still insufficient, continue the traffic that covering time is first stored in
Integrated information, by that analogy.
Such scheme, on the one hand, it is the data closest to real-time condition that can ensure modeling data, on the other hand, is realized
Huge data space need not be configured to meet the storage of traffic integrated information, so as to simplify structure, improve the steady of system
It is qualitative.
Preferably, above-mentioned preset time node is：The time point set with predetermined time interval.
By such scheme, it is being spaced, traffic model is once being corrected, on the one hand, avoid at predetermined time intervals
The huge amount of calculation that real-time correction tape is come, so as to improve the promptness of prediction；On the other hand, also meet traffic model with real time
The matching degree of traffic, meets the needs of intellectual traffic control.
Above-mentioned predetermined time interval can suitably be set according to specifically used scene, or be set with reference to the hardware process speed set
It is fixed.
Further, before above-mentioned S100, in addition to：
S001：Wait in real time and receive scene selection signal；If receiving scene selection signal, S101 is performed, otherwise, performs institute
State S100；
S101：According to the scene selection signal, default traffic grade signal is selected, performs S600.
Above-mentioned scene selection signal is：For the signal corresponding to default some special screnes, also directed to some spies
Different scene, corresponding traffic grade signal is preset；A certain special screne is selected, sends the scene for selecting the special screne
Selection signal, then selection correspond to the traffic grade signal of the special screne.
This programme has considered application of the road under Special use scene, is advised by default corresponding traffic grade
Then, traffic grade signal corresponding with special screne is generated, completes the control to corresponding traffic lights.This programme by making in advance
Determine respective rule, and in commission, performed with high priority, so as to reliably solve the problems, such as the interim calling of corresponding scene.
Further, in above-mentioned S101 after S600 is performed, in addition to：Wait in real time and receive scene cancelling signal；If connect
Scene cancelling signal is received, then performs S100.
Such scheme, realize after being eliminated to special screne environment, it is timely between normal scene traffic grade rule
Conversion, to ensure the continuity of traffic control and adapted in real time.
Further, above-mentioned S500 is specially：
S5001：According to the information of vehicle flowrate of the relative direction included in the prediction traffic integrated information, the contra is generated
To traffic grade sub-signal；With it is parallel
S5002：According to the information of vehicle flowrate in the left-hand rotation direction included in the prediction traffic integrated information, the left-hand rotation side is generated
To traffic grade sub-signal；
S5003：The traffic grade sub-signal of the traffic grade sub-signal of the relative direction and the left-hand rotation direction is entered
Row combination, generates traffic grade signal.
Above-mentioned relative direction for from west to east with from east to west, either from south to north to by north orientation south or preceding corresponding water
Steering on flat.Above-mentioned left steering is southern, western, northwards or eastern by north orientation by west by south orientation by east orientation, or is turned in respective horizontal
To.
Such scheme by the way that the formulation of corresponding traffic control rule is carried out to the wagon flow of straight-line travelling and Turning travel respectively,
On the one hand, integrally solve versatility traffic road junction traffic grade rule formulation, on the other hand, respectively to meter respectively
Calculate, can effectively mitigate the complexity of COMPREHENSIVE CALCULATING, improve the accuracy and promptness of result of calculation.
Preferably, the information of vehicle flowrate of above-mentioned relative direction includes：The vehicle flowrate of the relative direction and described relative
The vehicle flowrate ratio in direction.
Take into account the vehicle flowrate ratio of relative direction, the reasonability of traffic grade can be improved.Such as direction from east to west
Vehicle flowrate is N, and direction vehicle flowrate is M from west to east, then when generating the traffic grade sub-signal of east-west direction, westwards lets pass
Time is preferably 1~M with clearance time ratios eastwards：N.Therefore, in the reasonable scope, it can effectively ensure that opposite wagon flow at road junction
Accumulation degree.
Further, above-mentioned each traffic grade sub-signal（That is the traffic grade sub-signal of relative direction and left-hand rotation side
To traffic grade sub-signal）Provided with initial value, the create-rule of each traffic grade sub-signal is：Described initial
It is adjusted on the basis of value by pre-defined rule.
Using such scheme, by being adjusted accordingly on initial value, while ensureing not enable Adjusted Option, hand over
Logical lamp can also run well；Meanwhile by the adjustment of pre-defined rule, the serious system of traffic grade rule, it is easy to from whole
It is managed, is avoided during being adjusted according to vehicle flowrate on body, the scrambling of each road traffic grade sub-signal.
Preferably, above-mentioned pre-defined rule is：It is adjusted with the multiple of scheduled duration.
By carrying out the integral multiple add drop of scheduled duration on the basis of initial value, it is easy to the management of traffic grade, together
When, increase the validity adjusted on the basis of initial value.If initial value is the K seconds, it is specified that doing integral multiple adjustment based on 5 seconds,
Such as（K-5）Second,（K+10）Second etc., avoid to be calculated according to real-time amount and fraction or situation without practical significance adjustment amount occur.
Further, above-mentioned each traffic grade sub-signal is provided with predetermined threshold, each traffic grade point of the generation
Signal is in the predetermined threshold.
Such scheme, by given threshold, ensure that each road vehicles can just go together all in scheduled duration, ensureing as far as possible
During the more multidirectional traffic volume of vehicle flowrate, avoid because a direction vehicle flowrate is more, and have influence on the current of other road vehicles,
So as to cause the situation of the accumulation of other road vehicles.
To solve above-mentioned all or part of problem, the invention provides a kind of based on wagon flow speed prediction under real-time scene
Intelligent transportation system, including：
Image capture module, for gathering the video information at traffic road junction；
Vehicle detection module, for the video information gathered according to described image acquisition module, analyze traffic synthesis letter
Breath, the traffic integrated information include wagon flow and speed；
Data memory module, for storing the traffic integrated information of the vehicle retrieval module output, generate historical traffic
Integrated information；
Model construction module, for the historical traffic integrated information generated according to the data memory module, build traffic
Model, and according to the traffic model, export and letter is integrated to prediction traffic of the traffic road junction in following scheduled time node
Breath；
Transportation Strategies module, for the prediction traffic integrated information exported according to the model prediction module, described in generation
The traffic grade signal at traffic road junction；
Traffic control module, for the traffic grade signal generated according to the Transportation Strategies module, control respective quadrature
The execution of logical lamp.
Further, said system also includes：Modifying model module, for controlling described image acquisition module when default
Between point gather the video data at the traffic road junction, control what the vehicle detection module gathered according to described image acquisition module
The video data, analyze real-time traffic integrated information；And according to the real-time traffic integrated information, to the model construction
The traffic model constructed by module is modified；
The model construction module is additionally operable to, according to amendment of the Modifying model module to the traffic model, to described pre-
Test cross leads to integrated information and is modified, so as to realize the amendment to traffic grade signal.
Further, above-mentioned preset time node is：The time point set with predetermined time interval.
Further, the system also includes：Scene confirms module, for receiving scene selection signal, and according to described
Scene selection signal, default traffic grade signal is selected, set the default traffic grade signal of the selection as most
High priority, and the default traffic grade signal of the selection is sent to the traffic control module, in order to described
Traffic control module controls the execution of traffic lights with the default traffic grade signal of the selection.
Further, above-mentioned scene confirms that module is additionally operable to：Scene cancelling signal is received, is recalled to the traffic control mould
The traffic grade signal that block is sent, so that the traffic control module receives the traffic that the Transportation Strategies module is sent
Lamp control signal.
Further, above-mentioned Transportation Strategies module includes：
Opposite Transportation Strategies unit, for what is exported according to the model construction module：Wrapped in the prediction traffic integrated information
The information of vehicle flowrate of the relative direction contained, generate the traffic grade sub-signal of the relative direction；
Transportation Strategies unit is turned to, for what is exported according to the model construction module：Wrapped in the prediction traffic integrated information
The information of vehicle flowrate in the left-hand rotation direction contained, generate the traffic grade sub-signal in the left-hand rotation direction；
Strategy combination unit, for generate the opposite Transportation Strategies unit：The traffic grade of the relative direction point
Signal, and the steering Transportation Strategies unit generation：The traffic grade sub-signal in the left-hand rotation direction is combined, generation
Traffic grade signal.
Further, the vehicle flowrate ratio of the vehicle flowrate of above-mentioned relative direction and the relative direction.
Further, above-mentioned each traffic grade sub-signal is provided with initial value, the opposite Transportation Strategies unit and described
Turn to Transportation Strategies unit and generate corresponding traffic grade sub-signal（The traffic of i.e. opposite Transportation Strategies unit generation relative direction
Lamp controls sub-signal, turns to the traffic grade sub-signal in Transportation Strategies unit generation left-hand rotation direction）Create-rule be：Institute
State and be adjusted by pre-defined rule on the basis of initial value.
Further, above-mentioned pre-defined rule is：It is adjusted with the multiple of scheduled duration.
Further, above-mentioned opposite Transportation Strategies unit and steering Transportation Strategies unit are provided with predetermined threshold, and two strategies are single
Member is adjusted in the predetermined threshold to corresponding traffic grade sub-signal.
Further, above-mentioned model construction module builds the traffic model by regression analysis.
Preferably, above-mentioned data memory module stores the traffic integrated information to circulate memory module.Storing
When the space of historical traffic integrated information is expired, the new traffic integrated information being stored into covers former historical traffic synthesis letter automatically
In breath, the traffic integrated information that is stored at first, what space was still insufficient, continue the traffic integrated information that covering time is first stored in, with this
Analogize.
In summary, by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
By the scheme of the offer of the present invention, can avoid because using ground induction coil statistics wagon flow speed, needing in installation and when safeguarding
The situation on road surface is destroyed, this programme can directly utilize existing monitoring network without extra installation data collecting device；It is meanwhile logical
Cross and once model, the scheme corrected in time ensure that prediction data and the matching degree of real-time traffic, substantially reduce modeling again
Required data amount of calculation, promptness is high, and accuracy is good；Default special screne pattern, to tackle needed for various particular surroundings, in time
Property it is high；Referred to by main traffic control of all directions wagon flow, carry out traffic control further according to preset rules, each side can be effectively increased
To traffic capacity, avoid the traffic congestions of all directions.
Brief description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is the flow chart based on the intelligent transportation method of wagon flow speed prediction under real-time scene.
Fig. 2 is prediction traffic synthetic information network method flow diagram.
Fig. 3 is traffic grade signal generation flow chart.
Fig. 4 is the intelligent transportation system structure chart based on wagon flow speed prediction under real-time scene.
Fig. 5 is Transportation Strategies modular structure tree graph.
Embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine in any way.
This specification（Including any accessory claim, summary）Disclosed in any feature, unless specifically stated otherwise,
Replaced by other equivalent or with similar purpose alternative features.I.e., unless specifically stated otherwise, each feature is a series of
An example in equivalent or similar characteristics.
As shown in figure 1, present embodiment discloses a kind of intelligent transportation method based on wagon flow speed prediction under real-time scene,
Including：
S001：Wait in real time and receive scene selection signal；If receiving scene selection signal, S101 is performed, otherwise, performs institute
State S100；
S101：According to the scene selection signal, default traffic grade signal is selected, performs S600；It is real-time etc. to be received
Scene cancelling signal；If receiving scene cancelling signal, S100 is performed；
S100：Gather the video information at traffic road junction；To save construction cost, the step can be adopted by existing traffic monitoring network
Collect video information, it is preferred that control point is set at traffic road junction towards traffic road junction direction is entered；
S200：According to the video information of collection, analyze traffic integrated information, the traffic integrated information include wagon flow and
Speed；Preferably, it may also include vehicle；
S300：To circulate memory module, the traffic integrated information is loaded into historical traffic integrated information；
S400：Traffic model is built according to the historical traffic integrated information, predicts the traffic road junction in following pre- timing
The prediction traffic integrated information of intermediate node；
S500：According to the traffic grade signal predicted traffic integrated information, generate the traffic road junction；
S600：According to the traffic grade signal, the execution of traffic road junction traffic lights is controlled.
Referring to the drawings 2, the present embodiment specifically disclose prediction future time point prediction traffic integrated information method, i.e., on
State the S400 in embodiment：
S4001：The historical traffic integrated information is received, according to the historical traffic integrated information, passes through regression analysis structure
Build traffic model；Also judge whether current point in time is the time point of predetermined time interval setting, if so, S4002 is then performed, it is no
Then, S4004 is performed；
S4002：According to S100-S200 method, real-time traffic integrated information is obtained；
S4003：The traffic model is modified according to the real-time traffic integrated information；
S4004：According to the traffic model, the prediction traffic for predicting the traffic road junction in following scheduled time node integrates
Information.
Referring to the drawings 3, the present embodiment specifically discloses the process of generation traffic grade signal, i.e., in above-described embodiment
S500：
S5001：According to the information of vehicle flowrate of the relative direction included in the prediction traffic integrated information, the contra is generated
To traffic grade sub-signal；With it is parallel
S5002：According to the information of vehicle flowrate in the left-hand rotation direction included in the prediction traffic integrated information, the left-hand rotation side is generated
To traffic grade sub-signal；
S5003：The traffic grade sub-signal of the traffic grade sub-signal of the relative direction and the left-hand rotation direction is entered
Row combination, generates traffic grade signal.
Above-mentioned each traffic grade sub-signal（That is the traffic grade sub-signal of relative direction and the traffic lights in left-hand rotation direction
Control sub-signal）Provided with initial value, the create-rule of each traffic grade sub-signal is：Pressed on the basis of the initial value
It is adjusted with the multiple of scheduled duration, and above-mentioned each traffic grade sub-signal is provided with predetermined threshold, each friendship of the generation
Logical lamp control sub-signal is in the predetermined threshold.The information of vehicle flowrate of above-mentioned relative direction includes：The relative direction
The vehicle flowrate ratio of vehicle flowrate and the relative direction.
Illustrate：Direction vehicle flowrate is X from east to west, and direction vehicle flowrate is Y, it is specified that initial value is 40 from west to east
Second, corresponding vehicle flowrate is N, it is specified that being to be adjusted the unit time, it is specified that threshold range is the 30-50 second using 5 seconds；Provide vehicle flowrate
Per add drop Z, then corresponding one unit interval of time add drop, then have：0<X-N<Z, from east to west the direction time be adjusted to 40+5*
(- 1)=35 second, in threshold range, for effectively adjustment data, 2Z<Y-N<3Z, then the direction time is adjusted to 40+ from west to east
5*3=55 second, exceed threshold range within 55 seconds, then the adjustment time in direction is 50 seconds from west to east.Meanwhile then consider thing
Direction vehicle flowrate ratio, then westwards let pass time and clearance time ratios eastwards are preferably 1 to arrive Y：A reasonable value between X, such as
Above-mentioned Y：X=1.5, then westwards let pass time and the value between clearance time ratios desirable 1 to 1.5 eastwards, above-mentioned adjustment time（1
<50:35<1.5）In the ratio, to can use Adjusted Option.
Referring to the drawings 4 and 5, present embodiment discloses a kind of intelligent transportation system based on wagon flow speed prediction under real-time scene
System, including：
Image capture module 101, for gathering the video information at traffic road junction；To save construction cost, the image capture module
101 can be existing traffic monitoring network, it is preferred that collection point is set at traffic road junction towards traffic road junction direction is entered；
Vehicle detection module 102, for the video information gathered according to described image acquisition module 101, analyze traffic
Integrated information, the traffic integrated information include wagon flow and speed；
Data memory module 103, for circulate memory module, storing the traffic synthesis of the vehicle retrieval module output
Information, generate historical traffic integrated information；
Model construction module 104, for the historical traffic integrated information generated according to the data memory module 103, lead to
Regression analysis structure traffic model is crossed, and according to the traffic model, is exported to the traffic road junction in the following scheduled time
The prediction traffic integrated information of node；It is comprehensive to prediction traffic always according to amendment of the Modifying model module 107 to the traffic model
Information is closed to be modified；
Modifying model module 107, for controlling described image acquisition module 101 to be adopted at the time point set with predetermined time interval
Collect the video data at the traffic road junction, control what the vehicle detection module 102 gathered according to described image acquisition module 101
The video data, analyze real-time traffic integrated information；And according to the real-time traffic integrated information, to the model construction
The traffic model constructed by module 104 is modified；
Transportation Strategies module 105, for the prediction traffic integrated information exported according to the model prediction module, generate institute
State the traffic grade signal at traffic road junction；
Scene confirms module 108, for receiving scene selection signal, and according to the scene selection signal, selects default friendship
Logical lamp control signal, sets the default traffic grade signal of the selection as limit priority, and by the pre- of the selection
If traffic grade signal be sent to traffic control module 106, in order to which traffic control module 106 is with the default friendship of selection
The execution of logical lamp control signal control traffic lights；Scene cancelling signal is also received, recalls the institute sent to traffic control module 106
Traffic grade signal is stated, so that traffic control module 106 receives the traffic grade letter that the Transportation Strategies module 105 is sent
Number；
Traffic control module 106, for the traffic grade signal generated according to the Transportation Strategies module 105, control
The execution of corresponding traffic lights.
Further, above-mentioned Transportation Strategies module 105 includes：
Opposite Transportation Strategies unit 105a, for what is exported according to the model construction module 104：The prediction traffic synthesis letter
The information of vehicle flowrate of the relative direction included in breath, generate the traffic grade sub-signal of the relative direction；The relative direction
Vehicle flowrate and the relative direction vehicle flowrate ratio
Transportation Strategies unit 105b is turned to, for what is exported according to the model construction module 104：The prediction traffic synthesis letter
The information of vehicle flowrate in the left-hand rotation direction included in breath, generate the traffic grade sub-signal in the left-hand rotation direction；
Strategy combination unit 105c, for generate the opposite Transportation Strategies unit 105a：The traffic of the relative direction
Lamp control sub-signal, and the steering Transportation Strategies unit 105b generations：The traffic grade sub-signal in the left-hand rotation direction
It is combined, generates traffic grade signal.
Further, above-mentioned each traffic grade sub-signal is provided with initial value, the opposite Transportation Strategies unit 105a and
The steering Transportation Strategies unit 105b generates corresponding traffic grade sub-signal（I.e. opposite Transportation Strategies unit 105a generations phase
To the traffic grade sub-signal in direction, the traffic grade sub-signal that Transportation Strategies unit 105b generates left-hand rotation direction is turned to）
Create-rule be：It is adjusted on the basis of the initial value with the multiple of scheduled duration.Meanwhile above-mentioned opposite Transportation Strategies
Unit 105a and steering Transportation Strategies unit 105b are provided with predetermined threshold, and two policy units are in the predetermined threshold, to corresponding
Traffic grade sub-signal be adjusted.
The invention is not limited in foregoing embodiment.The present invention, which expands to, any in this manual to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (10)
- A kind of 1. intelligent transportation method based on wagon flow speed prediction under real-time scene, it is characterised in that including：S100：Gather the video information at traffic road junction；S200：According to the video information of collection, analyze traffic integrated information, the traffic integrated information include wagon flow and Speed；S300：The traffic integrated information is loaded into historical traffic integrated information；S400：Traffic model is built according to the historical traffic integrated information, predicts the traffic road junction in following pre- timing The prediction traffic integrated information of intermediate node；S500：According to the traffic grade signal predicted traffic integrated information, generate the traffic road junction；S600：According to the traffic grade signal, the execution of traffic road junction traffic lights is controlled.
- 2. the method as described in claim 1, it is characterised in that the S400 is specially：S4001：Receive the historical traffic integrated information, according to it is described be traffic integrated information structure traffic model；Also judge Whether current point in time is preset time node, if so, then performing S4002, otherwise, performs S4004；S4002：According to S100-S200 method, real-time traffic integrated information is obtained；S4003：The traffic model is modified according to the real-time traffic integrated information；S4004：According to the traffic model, the prediction traffic for predicting the traffic road junction in following scheduled time node integrates Information.
- 3. method as claimed in claim 2, it is characterised in that the preset time node is：Set with predetermined time interval Time point.
- 4. method as claimed in claim 3, it is characterised in that before the S100, in addition to：S001：Wait in real time and receive scene selection signal；If receiving scene selection signal, S101 is performed, otherwise, performs institute State S100；S101：According to the scene selection signal, default traffic grade signal is selected, performs S600.
- 5. method as claimed in claim 4, it is characterised in that the S500 is specially：S5001：According to the information of vehicle flowrate of the relative direction included in the prediction traffic integrated information, the contra is generated To traffic grade sub-signal；With it is parallelS5002：According to the information of vehicle flowrate in the left-hand rotation direction included in the prediction traffic integrated information, the left-hand rotation side is generated To traffic grade sub-signal；S5003：The traffic grade sub-signal of the traffic grade sub-signal of the relative direction and the left-hand rotation direction is entered Row combination, generates traffic grade signal.
- 6. method as claimed in claim 5, it is characterised in that the information of vehicle flowrate of the relative direction includes：It is described relative The vehicle flowrate ratio of the vehicle flowrate in direction and the relative direction.
- 7. method as claimed in claim 6, it is characterised in that each traffic grade sub-signal is provided with initial value, each friendship Logical lamp controls the create-rule of sub-signal to be：It is adjusted on the basis of the initial value by pre-defined rule.
- 8. method as claimed in claim 7, it is characterised in that the pre-defined rule is：Adjusted with the multiple of scheduled duration It is whole.
- 9. method as claimed in claim 8, it is characterised in that each traffic grade sub-signal is provided with predetermined threshold, institute Each traffic grade sub-signal for stating generation is in the predetermined threshold.
- 10. method as claimed in claim 9, it is characterised in that in the S4001, the friendship is built by regression analysis Logical model.
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