CN108364471A - Freight planning management method and system based on intelligent traffic light OD information inspections - Google Patents
Freight planning management method and system based on intelligent traffic light OD information inspections Download PDFInfo
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Abstract
The present invention discloses the freight planning management method based on intelligent traffic light OD information inspections, including step：The lorry information at each crossing of acquiring way, the traffic information include the traffic video information and lorry information of approach lorry；Key frame images processing is extracted to the traffic video of approach lorry, relevant information is obtained, demarcates the OD information of record approach lorry；The OD information of approach lorry is handled, establish the prediction that freight traffic management model freight traffic management model carries out lorry position positioning and next position in real time, it obtains the situation of lorry and each section and predicts the situation in lorry and each section, lorry is scheduled according to the situation in section.Method through the invention, it not only can more accurately predict the condition of road surface of next period, various management and monitoring can also be carried out to lorry according to the OD information of approach lorry, and lorry can be scheduled according to condition of road surface, avoid the occurrence of congestion in road, accurate data facilitates feasible.
Description
Technical field
The present invention relates to intelligent transportation fields, more particularly to a kind of shipping rule based on intelligent traffic light OD information inspections
Draw management method and system.
Background technology
Currently, intelligent transportation system is the developing direction of future transportation system, by by data acquisition process, information communication
The relevant technologies such as transmission, electronic sensor, remote control are effectively integrated into entire ground transportation management system and establish
It is a kind of in a wide range of, it is comprehensive play a role, in real time, accurately and efficiently composite communications transport management system, intelligent transportation
System can effectively utilize existing means of transportation, reduce traffic loading and environmental pollution, guarantee traffic safety, raising Transportation Efficiency
Rate is embodied as traffic Internet of Things networking and is paid more and more attention.
Although present intelligent transportation system development trend is fine, there is also a little problems, since road Truck is more next
It is more, next period of road cannot be carried out accurately to predict and the state of lorry cannot be predicted and be supervised
Control, this timely to carry out management well and the coordination of road traffic to road traffic well.
Invention content
The shortcomings that present invention is directed in the prior art provides a kind of shipping rule based on intelligent traffic light OD information inspections
Draw management method and system.
In order to solve the above-mentioned technical problem, the present invention is addressed by following technical proposals：
The present invention discloses following technical solutions：
A kind of freight planning management method based on intelligent traffic light OD information inspections, includes the following steps：
The lorry information at each crossing of acquiring way, the traffic information include the traffic video information and goods of approach lorry
Vehicle information；
Key frame images processing is extracted to the traffic video of approach lorry, obtains license plate information, the goods of approach lorry
Vehicle self information and lorry environmental information demarcate the OD information of record approach lorry；
The OD information of approach lorry is handled, establishes freight traffic management model freight traffic management model to lorry position
The prediction for carrying out positioning and next position in real time obtains the situation of lorry and each section and predicts lorry and each section
Situation, and lorry is scheduled according to the situation in section.
As a kind of embodiment, the lorry information at each crossing of approach is generated by video monitoring sensing equipment,
It is transmitted via the communication module of setting on traffic lights, the traffic at each crossing is arranged in the video monitoring sensing equipment
On lamp.
As a kind of embodiment, the traffic video to approach lorry extracts key frame images processing, obtains
To the license plate information of approach lorry, lorry self information and lorry environmental information, the OD information of record approach lorry is demarcated, specifically
Step includes：
The traffic video of all approach lorries got is extracted into key frame, non-key frame is removed, obtains approach lorry
Relevant information, record the license plate information of lorry, the traffic information in the track where the color and model and lorry of lorry；
All crossings that lorry is passed through are inquired according to the license plate information of lorry, the OD information of approach lorry is obtained and carries out
Calibration.
As a kind of embodiment, the freight traffic management model includes at least freight cars management model and section manages mould
Type.
As a kind of embodiment, the OD information to approach lorry is handled, and establishes freight traffic management model goods
The prediction that administrative model carries out lorry position positioning and next position in real time is transported, lorry and the shape in each section are obtained
Condition and the situation for predicting lorry and each section, and according to the situation in section to lorry be scheduled the specific steps are：
By the traffic information in the track where OD information to the approach lorry and lorry into the selection of row vector, adopt
Freight cars management model and section administrative model are established respectively with non parametric regression prediction algorithm；
The relevant information of real-time lorry is separately input into and carries out analysis and next position in freight cars management model
Prediction, obtains the situation of lorry and each section and predicts the situation in lorry and each section；
It according to the situation in lorry and each section and predicts that lorry and the situation in each section are managed lorry, passes through
The state in each section carries out confluence analysis, obtains complete overall region traffic information, is believed according to the overall region traffic
It ceases and lorry situation is combined to be scheduled lorry.
Invention further discloses following technical solutions：
A kind of freight planning management system based on intelligent traffic light OD information inspections, including obtain data module, analysis
Demarcating module and modeling and forecasting module；
The acquisition data module is used for the lorry information at each crossing of acquiring way, and the traffic information includes approach
The traffic video information and lorry information of lorry；
The analysis demarcating module extracts key frame images processing for the traffic video to approach lorry, obtains
License plate information, lorry self information and the lorry environmental information of approach lorry demarcate the OD information of record approach lorry；
The modeling and forecasting module is handled for the OD information to approach lorry, establishes freight traffic management model shipping
Administrative model carries out lorry position the prediction of positioning and next position in real time, obtains the situation in lorry and each section
And predict the situation in lorry and each section, and lorry is scheduled according to the situation in section.
As a kind of embodiment, the acquisition data module includes video monitoring sensing equipment, the acquiring way
The lorry information at each crossing is generated by video monitoring sensing equipment, is passed via the communication module of setting on traffic lights
It passs, the video monitoring sensing equipment is arranged on the traffic lights at each crossing.
As a kind of embodiment, the communication module is arranged on the traffic lights at each crossing, the communication module
For the lorry information at each crossing of the approach to be transmitted in analysis demarcating module.
As a kind of embodiment, the analysis demarcating module includes analytic unit and calibration unit：
The analytic unit is gone for the traffic video of all approach lorries got to be extracted key frame unless closing
Key frame obtains the relevant information of approach lorry, records the license plate information of lorry, where the color and model and lorry of lorry
The traffic information in track；
The calibration unit obtains approach for inquiring all crossings that lorry is passed through according to the license plate information of lorry
The OD information of lorry is simultaneously demarcated.
As a kind of embodiment, the modeling and forecasting module includes modeling unit, predicting unit and scheduling unit, institute
It states freight traffic management model and includes at least vehicle management model and section administrative model：
The modeling unit, for the traffic information by the track where OD information to the approach lorry and lorry
Into the selection of row vector, freight cars management model and section administrative model are established using non parametric regression prediction algorithm respectively；
The predicting unit is divided for the relevant information of real-time lorry to be separately input into freight cars management model
The prediction of analysis and next position, obtains the situation of lorry and each section and predicts the situation in lorry and each section；
The scheduling unit, for according to the situation in lorry and each section and predicting the situation pair in lorry and each section
Lorry is managed, and is carried out confluence analysis by the state in each section, complete overall region traffic information is obtained, according to institute
It states overall region traffic information and lorry is scheduled in conjunction with lorry situation.
The present invention has significant technique effect as a result of above technical scheme：
Method through the invention not only can more accurately predict the condition of road surface of next period, can be with root
According to approach lorry OD information come various management and monitoring are carried out to lorry, and lorry can be adjusted according to condition of road surface
Degree, avoids the occurrence of congestion in road, accurate data facilitates feasible.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without having to pay creative labor, may be used also for those of ordinary skill in the art
With obtain other attached drawings according to these attached drawings.
Fig. 1 is the overall flow schematic diagram of the present invention；
Fig. 2 is the overall structure diagram of the present invention.
Label declaration：100, data module is obtained；200, demarcating module is analyzed；300, modeling and forecasting module；210, it analyzes
Unit；220, unit is demarcated；310, modeling unit；320, predicting unit；330, scheduling unit.
Specific implementation mode
With reference to embodiment, the present invention is described in further detail, following embodiment be explanation of the invention and
The invention is not limited in following embodiments.
Embodiment 1：
A kind of freight planning management method based on intelligent traffic light OD information inspections, as shown in Figure 1, including following step
Suddenly：
The lorry information at each crossing of S100, acquiring way, the traffic information include the traffic video letter of approach lorry
Breath and lorry information；
S200, key frame images processing is extracted to the traffic video of approach lorry, obtain the licence plate letter of approach lorry
Breath, lorry self information and lorry environmental information demarcate the OD information of record approach lorry；
S300, the OD information of approach lorry is handled, establishes freight traffic management model freight traffic management model to lorry institute
The prediction of positioning and next position in real time is carried out in position, the situation of lorry and each section is obtained and predicts lorry and each
The situation in section, and lorry is scheduled according to the situation in section.
More specifically, the lorry information at each crossing of approach is generated by video monitoring sensing equipment, exist via setting
Communication module on traffic lights is transmitted, and the video monitoring sensing equipment is arranged on the traffic lights at each crossing.
In step S200, the traffic video to approach lorry extracts key frame images processing, obtains approach goods
License plate information, lorry self information and the lorry environmental information of vehicle demarcate the OD information of record approach lorry, specific steps packet
It includes：
S210, the traffic video of all approach lorries got is extracted into key frame, removes non-key frame, obtains approach
The relevant information of lorry records the license plate information of lorry, the traffic letter in the track where the color and model and lorry of lorry
Breath；
S220, all crossings that lorry is passed through are inquired according to the license plate information of lorry, obtains the OD information of approach lorry
And it is demarcated.
The present invention is the video monitoring sensing equipment installed additional on traffic lights, passes through video for hardware technology scheme
The mode of monitoring sensing equipment record video obtains the traffic information of lorry, and is transmitted by communication module, is transmitted to meter
Calculation center, calculating center extract key frame images by Video Key Frame Detection Algorithm after receiving video data, pass through pass
Key frame time axis is sorted and obtains information of vehicles with the image recognition for being anchored algorithm based on key point, OD of the calibration record by way of vehicle
Information.
In step s 200, the freight traffic management model includes at least freight cars management model and section administrative model.
Freight cars management model and section administrative model are included at least based on the freight traffic management model, it is described to approach lorry
OD information handled, establish freight traffic management model freight traffic management model to lorry position carry out in real time positioning and it is next
The prediction of a position obtains the situation of lorry and each section and predicts the situation in lorry and each section, and according to section
Situation to lorry be scheduled the specific steps are：
S310, by the traffic information in the track where OD information to the approach lorry and lorry into the choosing of row vector
It takes, freight cars management model and section administrative model is established using non parametric regression prediction algorithm respectively；
S320, the relevant information of real-time lorry is separately input into freight cars management model carry out analysis and next position
The prediction set obtains the situation of lorry and each section and predicts the situation in lorry and each section；
S330, according to the situation in lorry and each section and predict that the situation in lorry and each section carries out pipe to lorry
Reason carries out confluence analysis by the state in each section, complete overall region traffic information is obtained, according to the overall region
Traffic information is simultaneously scheduled lorry in conjunction with lorry situation.
By historical data cumulative statistics early period, a variety of freight traffic moulds can be established with non parametric regression prediction algorithm
Type, by algorithm loop iteration, to obtain pre-planned route result.Detailed process is first to origin, and Velocity Time is wanted
Equal freight traffics state vector is asked choose, next calculates and select history similar curves quantity, and according to different situations
Change measuring similarity criteria parameter, found by comparison it is most like and the case where do well in historical data, to carry out
Freight traffic route planning and traffic status prediction.
The situation of lorry also relies on the OD information and Real-time Feedback of intelligent traffic light, by the route planned in advance
The video image informations of multiple special traffic lights nodes carries out that key-frame extraction can positioning vehicle, and can in certain a road section in real time
The arrival time is accurately predicted with the speed according to goods stock by way of these sections, and these location informations are anti-in real time
Feed delivery person, and consignee and freight scheduling specialist measurement and control center, this localization method are accurate to specific road section, it is more accurate and
It does not depend on manpower to report or identify, does not depend on equipment level or the relevant operation of shipping people, or even not by region signal power yet
Influence can be carried out reporting in real time, be suitable for most of scene, and practicability is stronger.
Meanwhile by can be to the special thing of route ahead without the traffic lights acquisition of information of part on programme path
Part is monitored in real time and is fed back, once there is abnormal congestion, accident, when the special circumstances such as repair, freight scheduling specialist measurement and control center
The planning again that can carry out route scheduling gives warning in advance to shipping people and shipping people is helped to carry out decision, as far as possible reduction pair
The meaningless extension of shipment month.
Before scheduling, the center of calculating can be to vehicle present situation, driver's history, type of merchandize combinations of states route planning approach area
Domain etc. carries out analysis planning and carries out targetedly safety prompt function to driver, and under steam, driver itself can carry out safety
It checks and is reported with safety, and the alarm that can actively require assistance when accident occurs.Followed by intelligent traffic light video monitoring can be right
Goods stock now locates section and carries out more detailed acquisition of information and more frequent feedback, once accident occurs, the flow in the section
Larger change must occur for information potential, when this happens, can obtain whether validation of information is freight from other approach
Accident occurs, if it is, the operations such as rescue and shipping loss appraisal are carried out, if it is not, then passing through D by goods stock
How again the time state information of traffic lights determines the need for programme path again, programme path.
In the present invention, key frame images processing is extracted to the traffic video of approach lorry, obtains approach lorry
License plate information, lorry self information and lorry environmental information, demarcate record approach lorry OD information more specifically be to pass through
Processing is realized below, is depended primarily on real using PCA algorithms (Principal Component Analysis Algorithm) information pre-processing and dimension-reduction algorithm
Existing, concrete operations are as follows：After obtaining the OD information by way of vehicle, to it into row information dimension-reduction treatment and clustering processing,
Information dimension-reduction treatment be to rely on PCA methods progress, mainly ensure information loss minimize under the premise of for information into
The pretreatments such as row compression and message structure simplification, convenient for follow-up cluster and pattern-recognition, and are conducive to information visuallization
It presents.In PCA algorithms, initial data is formed into matrix by rows, data normalization is carried out to matrix, its mean value is made to become
Zero；Seek the covariance matrix of matrix；Feature vector is pressed into the descending arrangement of characteristic value again, k are formed new square by row before taking
Battle array；Finally obtain data after dimensionality reduction.Here, the principal component of matrix is the feature vector of its covariance matrix according to corresponding feature
Value size sorts, and by analyzing the data being actually collected into, can use the singular value decomposition of data matrix
(Singular value decomposition) come look for covariance matrix feature vector and characteristic value square root complete master
Constituent analysis, or select kernel function appropriate that data projection is realized dimensionality reduction to a lower-dimensional subspace.Under normal circumstances, n
Dimension data collection can be dropped by mapping into k n-dimensional subspace ns, wherein k≤n, in this patent, the variance on data set different dimensions
Distribution is more uneven, and PCA effects are preferable at this time, (can believe the traffic OD information of the various dimensions got comprising surrounding time
Breath, information of vehicles, road section information, environmental information, behavioural information etc. complexity dimension) carry out compression be integrated into two dimension for carry out can
Depending on change and pattern recognition analysis.
Clustering processing is clustered using K-means algorithms, and way is as follows：After Data Dimensionality Reduction, K-means calculations are reused
The purpose of clustering of method completion information, clustering is the relationship found in data set between data object, by data
It is grouped, the similitude in group is bigger, and the difference between group is bigger, then Clustering Effect is better, therefore distance metric and target letter
Several selections is vital, in the present invention, selects Euclidean distance as data distance measure, uses square-error
The object function of (Sum of the Squared Error, SSE) as cluster (can be made by preassigning K barycenter
With being randomly assigned multiple cycle calculations or two ways be manually specified, according to the center of calculating it is practical manually with depending on hardware capabilities) simultaneously
It is repeatedly iterated operation to cluster information, after the completion of cluster, that is, is equivalent to tentatively complete pattern recognition classifier and number
According to visualization.
Semi-supervised learning (semi-supervised learning) algorithm is used in the present invention carries out pattern-recognition,
After completing above-mentioned information dimensionality reduction and clustering, existing recognition mode blank, and the reverse calibration of information can be passed through and obtain tool
The affiliated pattern of body information is to be instructed and be predicted to follow-up traffic programme, but one side traffic OD information flows are not to fix
Data set, be on the other hand to obtain more that precisely specific travel pattern is for analyzing and predicting, therefore the application is by making
Pattern-recognition is carried out with semi-supervised learning algorithm (Semi-supervised learning), and in semi-supervised learning, instruction
Practicing a data part has a label, and another part is not no label, and does not have the quantity of label data usually greatly in there is mark
Data bulk is signed, the acquisition for the data set of tape label can use the historical traffic data with label, it also requires logical
The mode spent early period and manually labelled precisely demarcates traffic OD information, so, it is necessary to traffic OD information into rower
It is fixed, because it is not completely random that the distribution of data is inevitable, there are the local feature of label data, and more no marks by some
Sign the overall distribution of data, so that it may to obtain to receive even extraordinary classification results.
Invention further discloses following technical solutions：
A kind of freight planning management system based on intelligent traffic light OD information inspections, as shown in Fig. 2, including obtaining data
Module 100, analysis demarcating module 200 and modeling and forecasting module 300；
The acquisition data module 100, is used for the lorry information at each crossing of acquiring way, and the traffic information includes way
The traffic video information and lorry information of diameter lorry；
The analysis demarcating module 200 extracts key frame images processing for the traffic video to approach lorry, obtains
To the license plate information of approach lorry, lorry self information and lorry environmental information, the OD information of record approach lorry is demarcated；
The modeling and forecasting module 300 is handled for the OD information to approach lorry, establishes freight traffic management model goods
The prediction that administrative model carries out lorry position positioning and next position in real time is transported, lorry and the shape in each section are obtained
Condition and the situation for predicting lorry and each section, and lorry is scheduled according to the situation in section.
Further, the acquisition data module 100 includes video monitoring sensing equipment, each road of acquiring way
The lorry information of mouth is generated by video monitoring sensing equipment, is transmitted via the communication module of setting on traffic lights, described
Video monitoring sensing equipment is arranged on the traffic lights at each crossing, and the traffic lights at each crossing is arranged in the communication module
On, the communication module is used to the lorry information at each crossing of the approach being transmitted in analysis demarcating module.
Here, the communication module is one kind of eLTE-IOT wireless modules or eLTE wireless modules, the eLTE-IOT
Wireless module or eLTE wireless modules are directly integrated in traffic lights.
In order to realize the wider array of data acquisition of more accurate and range, video monitoring sensing equipment is arranged in traffic lights
Top can be arranged on the top support post of each crossing traffic lamp, in order to preferably pacify by existing equipment
Video monitoring sensing equipment is filled, the holder of video monitoring sensing equipment is equipped on support post, by video monitoring sensing equipment
It is fixed on holder.In the present invention, video monitoring sensing equipment is infrared night video camera and sound transducer, sound sensor
Device and infrared night video camera all connection communication modules, here, communication module is 4G communication modules, sound transducer and infrared night
Data information depending on camera acquisition is all transmitted by 4G communication modules, and sound transducer is to incude the loudspeaker of vehicle
The data obtained in real time are transmitted to through communication module in analysis demarcating module 200 by sound with sound, sound transducer is passed by, analysis mark
Cover half block 200 gets data to this sound transducer and also handles.
The analysis demarcating module 200 includes analytic unit 210 and calibration unit 220：
The analytic unit 210, for the traffic videos of all approach lorries got to be extracted key frame, go unless
Key frame obtains the relevant information of approach lorry, records the license plate information of lorry, color and model and the lorry place of lorry
Track traffic information；
The calibration unit 220 obtains way for inquiring all crossings that lorry is passed through according to the license plate information of lorry
The OD information of diameter lorry is simultaneously demarcated.
The modeling and forecasting module 300 includes modeling unit 310, predicting unit 320 and scheduling unit 330, the shipping
Administrative model includes at least vehicle management model and section administrative model：
The modeling unit 310, for the traffic by the track where OD information to the approach lorry and lorry
Information establishes freight cars management model and section administrative model respectively into the selection of row vector using non parametric regression prediction algorithm；
The predicting unit 320, for by the relevant information of real-time lorry be separately input into freight cars management model into
The prediction of row analysis and next position, obtains the situation of lorry and each section and predicts the situation in lorry and each section；
The scheduling unit 330, for according to the situation in lorry and each section and predicting lorry and the shape in each section
Condition is managed lorry, carries out confluence analysis by the state in each section, obtains complete overall region traffic information, root
Lorry is scheduled according to the overall region traffic information and in conjunction with lorry situation.
Further include prompt unit and display unit and planning in whole system in order to be that freight planning preferably executes
Control unit, prompt unit prompt its selection more reasonably path, display unit to use for being reminded lorry by voice
Rational Path suggested by display system, here, prompt unit can be player, display unit can be display screen.It carries
Show that unit and display unit are separately connected planning control unit, planning control unit connects predicting unit 320 and scheduling unit
330, planning control unit by the predictive information of reception predicting unit 320, reminded, and implements to obtain by control prompt unit
Scheduling information and control display unit to scheduling unit 330 are shown.
For device embodiments, since it is basically similar to the method embodiment, so fairly simple, the correlation of description
Place illustrates referring to the part of embodiment of the method.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiment, the same or similar parts between the embodiments can be referred to each other.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, apparatus or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, the present invention can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention be with reference to according to the method for the present invention, the flow chart of terminal device (system) and computer program product
And/or block diagram describes.It should be understood that each flow in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the flow and/or box in box and flowchart and/or the block diagram.These computer programs can be provided to refer to
Enable the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminal equipments with
Generate a machine so that the instruction executed by computer or the processor of other programmable data processing terminal equipments generates
For realizing the function of being specified in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes
Device.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing terminal equipments
In computer-readable memory operate in a specific manner so that instruction stored in the computer readable memory generates packet
The manufacture of command device is included, which realizes in one flow of flow chart or multiple flows and/or one side of block diagram
The function of being specified in frame or multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing terminal equipments so that
Series of operation steps are executed on computer or other programmable terminal equipments to generate computer implemented processing, thus
The instruction executed on computer or other programmable terminal equipments is provided for realizing in one flow of flow chart or multiple flows
And/or in one box of block diagram or multiple boxes specify function the step of.
It should be noted that：
" one embodiment " or " embodiment " mentioned in specification means the special characteristic described in conjunction with the embodiments, structure
Or characteristic includes at least one embodiment of the present invention.Therefore, the phrase " reality that specification various places throughout occurs
Apply example " or " embodiment " the same embodiment might not be referred both to.
Furthermore, it is necessary to illustrate, the specific embodiment described in this specification, the shape of parts and components is named
Title etc. can be different.The equivalent or simple change that all structure, feature and principles according to described in inventional idea of the present invention are done, is wrapped
It includes in the protection domain of patent of the present invention.Those skilled in the art can be to described specific implementation
Example is done various modifications or additions or is substituted by a similar method, without departing from structure of the invention or surmounts this
Range as defined in the claims, is within the scope of protection of the invention.
Claims (10)
1. a kind of freight planning management method based on intelligent traffic light OD information inspections, it is characterised in that include the following steps：
The lorry information at each crossing of acquiring way, the traffic information include the traffic video information and lorry letter of approach lorry
Breath；
Key frame images processing is extracted to the traffic video of approach lorry, obtain the license plate information of approach lorry, lorry from
Body information and lorry environmental information demarcate the OD information of record approach lorry；
The OD information of approach lorry is handled, freight traffic management model freight traffic management model is established and lorry position is carried out
The prediction of positioning and next position in real time, obtains the situation of lorry and each section and predicts lorry and the shape in each section
Condition, and lorry is scheduled according to the situation in section.
2. the freight planning management method according to claim 1 based on intelligent traffic light OD information inspections, feature exist
In the lorry information at each crossing of approach is generated by video monitoring sensing equipment, via the communication of setting on traffic lights
Module is transmitted, and the video monitoring sensing equipment is arranged on the traffic lights at each crossing.
3. the freight planning management method according to claim 2 based on intelligent traffic light OD information inspections, feature exist
In the traffic video to approach lorry extracts key frame images processing, obtains license plate information, the lorry of approach lorry
Self information and lorry environmental information, demarcate the OD information of record approach lorry, and specific steps include：
The traffic video of all approach lorries got is extracted into key frame, non-key frame is removed, obtains the phase of approach lorry
Information is closed, the license plate information of lorry, the traffic information in the track where the color and model and lorry of lorry are recorded；
All crossings for being passed through of lorry are inquired according to the license plate information of lorry, the OD information for obtaining approach lorry is gone forward side by side rower
It is fixed.
4. the freight planning management method according to claim 3 based on intelligent traffic light OD information inspections, feature exist
In the freight traffic management model includes at least freight cars management model and section administrative model.
5. the freight planning management method according to claim 4 based on intelligent traffic light OD information inspections, feature exist
In the OD information to approach lorry is handled, and establishes freight traffic management model freight traffic management model to lorry position
The prediction for carrying out positioning and next position in real time obtains the situation of lorry and each section and predicts lorry and each section
Situation, and according to the situation in section to lorry be scheduled the specific steps are：
By the traffic information in the track where OD information to the approach lorry and lorry into the selection of row vector, use is non-
Parametric regression prediction algorithm establishes freight cars management model and section administrative model respectively；
The relevant information of real-time lorry is separately input into the prediction that analysis and next position are carried out in freight cars management model,
It obtains the situation of lorry and each section and predicts the situation in lorry and each section；
According to the situation in lorry and each section and predict that lorry and the situation in each section are managed lorry, by each
The state in section carries out confluence analysis, obtains complete overall region traffic information, simultaneously according to the overall region traffic information
Lorry is scheduled in conjunction with lorry situation.
6. a kind of freight planning based on intelligent traffic light OD information inspections manages system, it is characterised in that including obtaining data mould
Block, analysis demarcating module and modeling and forecasting module；
The acquisition data module is used for the lorry information at each crossing of acquiring way, and the traffic information includes approach lorry
Traffic video information and lorry information；
The analysis demarcating module extracts key frame images processing for the traffic video to approach lorry, obtains approach
License plate information, lorry self information and the lorry environmental information of lorry demarcate the OD information of record approach lorry；
The modeling and forecasting module is handled for the OD information to approach lorry, establishes freight traffic management model freight traffic management
Model carries out lorry position the prediction of positioning and next position in real time, obtains the situation of lorry and each section and pre-
The situation in lorry and each section is surveyed, and lorry is scheduled according to the situation in section.
7. the freight planning according to claim 6 based on intelligent traffic light OD information inspections manages system, feature exists
In the acquisition data module includes video monitoring sensing equipment, and the lorry information at each crossing of acquiring way is by video
It monitors sensing equipment to generate, be transmitted via the communication module of setting on traffic lights, the video monitoring sensing equipment is set
It sets on the traffic lights at each crossing.
8. the freight planning according to claim 7 based on intelligent traffic light OD information inspections manages system, feature exists
In the communication module is arranged on the traffic lights at each crossing, and the communication module is used for each crossing of the approach
Lorry information is transmitted in analysis demarcating module.
9. the freight planning according to claim 6 based on intelligent traffic light OD information inspections manages system, feature exists
In the analysis demarcating module includes analytic unit and calibration unit：
The analytic unit, for by the traffic video extraction key frame of all approach lorries got, removing non-key frame,
The relevant information of approach lorry is obtained, the license plate information of lorry, the track where the color and model and lorry of lorry are recorded
Traffic information；
The calibration unit obtains approach lorry for inquiring all crossings that lorry is passed through according to the license plate information of lorry
OD information and demarcated.
10. the freight planning according to claim 9 based on intelligent traffic light OD information inspections manages system, feature exists
In the modeling and forecasting module includes modeling unit, predicting unit and scheduling unit, and the freight traffic management model includes at least vehicle
Administrative model and section administrative model：
The modeling unit, for being carried out by the traffic information in the track where OD information to the approach lorry and lorry
The selection of vector, freight cars management model and section administrative model are established using non parametric regression prediction algorithm respectively；
The predicting unit, for the relevant information of real-time lorry is separately input into freight cars management model carry out analysis and
The prediction of next position obtains the situation of lorry and each section and predicts the situation in lorry and each section；
The scheduling unit, for according to the situation in lorry and each section and predicting the situation in lorry and each section to lorry
It is managed, confluence analysis is carried out by the state in each section, complete overall region traffic information is obtained, according to described whole
Body region traffic information is simultaneously scheduled lorry in conjunction with lorry situation.
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