CN109493617A - A kind of traffic signal optimization control method and device - Google Patents
A kind of traffic signal optimization control method and device Download PDFInfo
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- CN109493617A CN109493617A CN201811270232.3A CN201811270232A CN109493617A CN 109493617 A CN109493617 A CN 109493617A CN 201811270232 A CN201811270232 A CN 201811270232A CN 109493617 A CN109493617 A CN 109493617A
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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
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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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
- G08G1/07—Controlling traffic signals
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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Abstract
The present invention relates to traffic signalization fields, disclose a kind of traffic signal optimization control method and device, by the traffic flow data, the historical traffic data of intersection electric police grasp shoot and the section traffic flow data at crossing that obtain intersection annunciator system；Data are pre-processed, and carry out training sample extraction；Based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；According to the traffic lights timing scheme, Traffic signal control is carried out.The present invention realizes the accurate signal control time, the time control problem bring urban road traffic congestion due to traffic signals has been effectively relieved, and then a series of problems of vehicle fuel saving, vehicle consumption and air pollution is solved, there is very big social value and economic value.
Description
Technical field
The present invention relates to traffic signalization field more particularly to a kind of traffic signal optimization control method and device.
Background technique
The widely used most representative and effectual Controlling Traffic Signals in Urban Roads system in our times various countries has
The SCATS system of Britain TRANSYT and SCOOTS traffic control system and Australia.In the development course of signal control,
Adaptive Control Theory is praised highly as the highest level of signal control by each area always, and foreign countries are still partial to by certainly
The accomodation theory solves the problems, such as traffic signalization.
In recent years, these signal systems also achieve satisfied effect in the operation of China.There have been many height in the country
Scientific & technical corporation develops the whistle control system of independent intellectual property right, such as the whistle control system and signal controller of Hisense,
Control model, emergency plan, hardware accident detection and protection, network savvy, software man-machine interface, control optimization algorithm etc.
All it is enhanced, but there is also many deficiencies for the method for controlling traffic signal lights of the prior art, due to intersection
The magnitude of traffic flow is complicated and changeable, and control accuracy is low, inefficient.
Summary of the invention
The present invention provides a kind of traffic signal optimization control method and device, solves traffic lamp control method in the prior art
Because the magnitude of traffic flow is complicated and changeable, control accuracy is low, inefficient technical problem.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of traffic signal optimization control method, comprising:
Obtain the traffic flow data of intersection annunciator system, the historical traffic data of intersection electric police grasp shoot and crossing
Section traffic flow data；
Data are pre-processed, and carry out training sample extraction；
Based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；
According to the traffic lights timing scheme, Traffic signal control is carried out.
A kind of traffic signal optimization control device characterized by comprising
Acquisition module, for obtaining the traffic flow data of intersection annunciator system, the history stream of intersection electric police grasp shoot
Measure the section traffic flow data at data and crossing；
Preprocessing module for pre-processing to data, and carries out training sample extraction；
Modeling module carries out intensified learning, for being based on training sample to generate traffic lights timing scheme；
Control module, for carrying out Traffic signal control according to the traffic lights timing scheme.
The present invention provides a kind of traffic signal optimization control method and device, by the traffic for obtaining intersection annunciator system
The section traffic flow data of flow data, the historical traffic data of intersection electric police grasp shoot and crossing；Data are pre-processed,
And carry out training sample extraction；Based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；According to institute
Traffic lights timing scheme is stated, Traffic signal control is carried out.The present invention realizes the accurate signal control time, effectively slow
The time control problem bring urban road traffic congestion due to traffic signals has been solved, and then has solved vehicle fuel saving, vehicle
A series of problems of consumption and air pollution has very big social value and economic value.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow chart of traffic signal optimization control method of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of traffic signal optimization control device of the embodiment of the present invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
The embodiment of the invention provides a kind of traffic signal optimization control methods, as shown in Figure 1, comprising:
Step 101, the historical traffic data for obtaining the traffic flow data of intersection annunciator system, intersection electric police grasp shoot
And the section traffic flow data at crossing；
Step 102 pre-processes data, and carries out training sample extraction；
Step 103 is based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；
Step 104, according to the traffic lights timing scheme, carry out Traffic signal control.
Wherein, step 103 specifically can also include:
Step 103-1, it is based on training sample, Logic Regression Models are generated, to predict the jam situation at crossing；
Wherein, the one or more explanatory variables of Logic Regression Models are to two-value output result modeling.It with logic this
Base of a fruit Function Estimation probability value measures the relationship between classification dependence variable and one or more independent variables with this, passes through structure
It establishs diplomatic relations prong flow histories database, classifies to the corresponding traffic behavior of traffic flow under different indexs, to predict difference
Congestion probability under traffic control parameter.
Step 103-2, according to the jam situation of road, it is based on training sample, traffic flow is calculated using decision Tree algorithms and joins
Number, to generate timing scheme.
Step 103-2 can specifically include:
Step 103-2a, according to the jam situation of road, it is based on training sample, runs engineering using streaming computing frame
The traffic flow parameter that decision Tree algorithms calculate in real time is practised, to generate timing scheme；
The traffic flow parameter that this step is calculated in real time using streaming computing frame operation machine learning decision Tree algorithms, automatically
The new timing scheme of generation, be issued in semaphore by the communications protocol with semaphore, reach fully automated real-time side
Formula avoids the large-scale road network regulation influence caused by traffic not in time.
Step 103-2b, by timing scheme, semaphore is sent to by the communications protocol with semaphore.
In order to be optimized to timing scheme, can also include:
Step 105a, congestion delay index and crossing unbalance index are calculated；
Step 105b, according to congestion delay index and intersection unbalance index, belisha beacon service level is calculated；
Step 105c, using belisha beacon service level as the parameter for generating timing scheme.
Wherein, using congestion delay index and intersection unbalance index, founding mathematical models evaluate intersection signal service
Whether level assesses traffic behavior under different indexs, to examine timing scheme reasonable.And the modeling as step 103
Parameter, to continue to optimize modeling result.
The embodiment of the invention provides a kind of traffic signal optimization control methods, by the friendship for obtaining intersection annunciator system
The section traffic flow data of through-flow data, the historical traffic data of intersection electric police grasp shoot and crossing；Data are located in advance
Reason, and carry out training sample extraction；Based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；According to
The traffic lights timing scheme carries out Traffic signal control.The present invention realizes the accurate signal control time, effectively
Alleviate the time control problem bring urban road traffic congestion due to traffic signals, so solve vehicle fuel save,
A series of problems of vehicle consumption and air pollution, has very big social value and economic value.
The embodiment of the invention also provides a kind of traffic signal optimization control devices, as shown in Figure 2, comprising:
Acquisition module 210, for obtaining the traffic flow data of intersection annunciator system, the history of intersection electric police grasp shoot
The section traffic flow data at data on flows and crossing；
Preprocessing module 220 for pre-processing to data, and carries out training sample extraction；
Modeling module 230 carries out intensified learning, for being based on training sample to generate traffic lights timing scheme；
Control module 240, for carrying out Traffic signal control according to the traffic lights timing scheme.
Wherein, the modeling module 230, comprising:
First modeling unit 231 generates Logic Regression Models, for being based on training sample to predict the congestion feelings at crossing
Condition；
Second modeling unit 232 is based on training sample, utilizes decision Tree algorithms meter for the jam situation according to road
Traffic flow parameter is calculated, to generate timing scheme.
Second modeling unit 232 includes:
Stream calculation subelement 2321 is based on training sample, utilizes streaming computing frame for the jam situation according to road
The traffic flow parameter that operation machine learning decision Tree algorithms calculate in real time, to generate timing scheme；
Transmission sub-unit 2322, for being sent to semaphore by the communications protocol with semaphore for timing scheme.
It further include evaluation module 250, for, according to the traffic lights timing scheme, carrying out traffic in control module
After Signalized control, congestion delay index and crossing unbalance index are calculated；According to congestion delay index and the unbalance finger in intersection
Number calculates belisha beacon service level；Using belisha beacon service level as the parameter for generating timing scheme.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can be by
Software adds the mode of required hardware platform to realize, naturally it is also possible to all implemented by hardware, but in many cases before
Person is more preferably embodiment.Based on this understanding, technical solution of the present invention contributes to background technique whole or
Person part can be embodied in the form of software products, which can store in storage medium, such as
ROM/RAM, magnetic disk, CD etc., including some instructions are used so that a computer equipment (can be personal computer, service
Device or the network equipment etc.) execute method described in certain parts of each embodiment of the present invention or embodiment.
The present invention is described in detail above, specific case used herein is to the principle of the present invention and embodiment party
Formula is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas；Meanwhile it is right
In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Place, in conclusion the contents of this specification are not to be construed as limiting the invention.
Claims (8)
1. a kind of traffic signal optimization control method characterized by comprising
Obtain traffic flow data, the historical traffic data of intersection electric police grasp shoot and the section at crossing of intersection annunciator system
Traffic flow data；
Data are pre-processed, and carry out training sample extraction；
Based on training sample, intensified learning is carried out, to generate traffic lights timing scheme；
According to the traffic lights timing scheme, Traffic signal control is carried out.
2. traffic signal optimization control method according to claim 1, which is characterized in that it is described to be based on training sample, into
Row intensified learning, the step of to generate traffic lights timing model, comprising:
Based on training sample, Logic Regression Models are generated, to predict the jam situation at crossing；
According to the jam situation of road, it is based on training sample, traffic flow parameter is calculated using decision Tree algorithms, to generate timing side
Case.
3. traffic signal optimization control method according to claim 2, which is characterized in that the congestion feelings according to road
Condition is based on training sample, traffic flow parameter is calculated using decision Tree algorithms, the step of to generate timing scheme, comprising:
According to the jam situation of road, it is based on training sample, it is real using streaming computing frame operation machine learning decision Tree algorithms
When the traffic flow parameter that calculates, to generate timing scheme；
By timing scheme, semaphore is sent to by the communications protocol with semaphore.
4. traffic signal optimization control method according to claim 1, which is characterized in that described according to the traffic signals
After the step of lamp timing scheme, progress Traffic signal control, further includes:
Calculate congestion delay index and crossing unbalance index；
According to congestion delay index and intersection unbalance index, belisha beacon service level is calculated；
Using belisha beacon service level as the parameter for generating timing scheme.
5. a kind of traffic signal optimization control device characterized by comprising
Acquisition module, for obtaining the traffic flow data of intersection annunciator system, the historical traffic number of intersection electric police grasp shoot
According to and crossing section traffic flow data；
Preprocessing module for pre-processing to data, and carries out training sample extraction；
Modeling module carries out intensified learning, for being based on training sample to generate traffic lights timing scheme；
Control module, for carrying out Traffic signal control according to the traffic lights timing scheme.
6. traffic signal optimization control device according to claim 5, which is characterized in that the modeling module, comprising:
First modeling unit generates Logic Regression Models, for being based on training sample to predict the jam situation at crossing；
Second modeling unit is based on training sample for the jam situation according to road, calculates traffic flow using decision Tree algorithms
Parameter, to generate timing scheme.
7. traffic signal optimization control device according to claim 6, which is characterized in that the second modeling unit packet
It includes:
Stream calculation subelement is based on training sample for the jam situation according to road, runs machine using streaming computing frame
The traffic flow parameter that learning decision tree algorithm calculates in real time, to generate timing scheme；
Transmission sub-unit, for being sent to semaphore by the communications protocol with semaphore for timing scheme.
8. traffic signal optimization control device according to claim 5, which is characterized in that further include evaluation module, be used for
In control module according to the traffic lights timing scheme, after carrying out Traffic signal control, calculates congestion delay and refer to
Several and crossing unbalance index；According to congestion delay index and intersection unbalance index, belisha beacon service level is calculated；By road
Message signal lamp service level is as the parameter for generating timing scheme.
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| CN201811270232.3A CN109493617A (en) | 2018-10-29 | 2018-10-29 | A kind of traffic signal optimization control method and device |
| CN201910739891.5A CN110491145A (en) | 2018-10-29 | 2019-08-12 | A kind of traffic signal optimization control method and device |
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| CN201910739891.5A Pending CN110491145A (en) | 2018-10-29 | 2019-08-12 | A kind of traffic signal optimization control method and device |
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| CN110211383A (en) * | 2019-06-12 | 2019-09-06 | 国鸿科技股份有限公司 | Intelligent transportation data processing system |
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