CN110491144A - The method and relevant device of adjustment traffic lights duration based on road condition predicting - Google Patents
The method and relevant device of adjustment traffic lights duration based on road condition predicting Download PDFInfo
- Publication number
- CN110491144A CN110491144A CN201910666714.9A CN201910666714A CN110491144A CN 110491144 A CN110491144 A CN 110491144A CN 201910666714 A CN201910666714 A CN 201910666714A CN 110491144 A CN110491144 A CN 110491144A
- Authority
- CN
- China
- Prior art keywords
- road
- present
- period
- congestion
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
This application involves big data field, the method and relevant device of the adjustment traffic lights duration based on road condition predicting that this application discloses a kind of, which comprises obtain the historical traffic data of present road;It is for statistical analysis to the historical traffic data of the present road, obtain the history road conditions of the present road each period;Road condition predicting is carried out according to present period of the history road conditions to present road, the average congestion rate of the present period of the present road, and the adjustment of the duration according to the predicting road conditions of the present road present period and the traffic lights of the average congestion rate progress present road are obtained according to the corresponding history road condition data of the congestion.The historical data that the application passes through every road day part of acquisition, according to the jam situation of analysis every road day part of prediction to historical data, and traffic lights are adjusted according to the jam situation of prediction, can effectively improve traffic lights service efficiency, road traffic pressure is reduced, vehicle pass-through efficiency is improved.
Description
Technical field
This application involves big data field, in particular to it is a kind of based on road condition predicting adjustment traffic lights duration method and
Relevant device.
Background technique
Currently, in urban highway traffic, red light and the green time setting of the traffic lights at each crossing be it is fixed, remove
Non- traffic police commands at the scene or manual adjustment, and not so the time of traffic lights will not become, and each period at each crossing
Vehicle flowrate be variation, if the time of traffic lights is constant, it may occur that red light is too long when wagon flow is few, wagon flow it is big when
The too short situation of green light is waited, so as to cause a passage is blocked up, brings pressure to urban road passage.
Summary of the invention
When the purpose of the application is to provide a kind of adjustment traffic lights based on road condition predicting in view of the deficiencies of the prior art
Long method and relevant device is predicted by obtaining the historical data of every road day part according to the analysis to historical data
The jam situation of every road day part, and traffic lights are adjusted according to the jam situation of prediction, can effectively improve traffic lights makes
With efficiency, road traffic pressure is reduced, improves vehicle pass-through efficiency.
In order to achieve the above objectives, the technical solution of the application provides a kind of adjustment traffic lights duration based on road condition predicting
Method and relevant device.
The method for the adjustment traffic lights duration based on road condition predicting that this application discloses a kind of, comprising the following steps:
Obtain the historical traffic data of present road;
It is for statistical analysis to the historical traffic data of the present road, obtain going through for the present road each period
History road conditions, the history road conditions include congestion and normal;
Road condition predicting is carried out according to present period of the history road conditions to present road, it is corresponding according to the congestion
History road condition data obtain the present road present period average congestion rate, and it is current according to the present road when
The predicting road conditions of section and the average congestion rate carry out the adjustment of the duration of the traffic lights of present road.
Preferably, it is described for statistical analysis to the historical traffic data of the present road, obtain the present road
The history road conditions of each period, the history road conditions include congestion and normal, comprising:
The historical traffic data of the present road is subjected to Time segments division;
The traffic data of each period of present road in the statistical time section is obtained according to the period of the division;
And it is for statistical analysis according to the traffic data of each period of present road in the statistical time section, obtain institute
State the history road conditions of each period of present road in statistical time section, the history road conditions include congestion and normal.
Preferably, the traffic data according to each period of present road in the statistical time section carries out statistical
Analysis, obtains the history road conditions of each period of present road in the statistical time section, comprising:
The maximum vehicle flowrate threshold value of present road is obtained, and according to each period of present road in the statistical time section
Traffic data obtain the vehicle flowrate data of each period of present road in the statistical time section;
The vehicle flowrate data are compared with the maximum vehicle flowrate threshold value of the present road, when the statistical time
When the vehicle flowrate data of any time period of present road are greater than the maximum vehicle flowrate threshold value of the present road in section, work as by described in
The preceding road corresponding period is set as congestion, and to the congestion shape of each period of present road in the statistical time section
Condition number is added up respectively, obtains the congestion total degree of each period of the present road;
The present period that the present road is obtained according to the corresponding history road condition data of the congestion is put down
Equal congestion rate, comprising:
The present period of the present road is obtained according to the congestion total degree of each period of the present road
Average congestion rate.
Preferably, described carry out road condition predicting according to present period of the history road conditions to present road, comprising:
The congestion proportion threshold value of every road is preset, and obtains the initial time of present road present period;
According to the congestion total degree corresponding with present period and the system of present road in the statistical time section
The congestion ratio that the period obtains present road present period is counted, and by the congestion ratio of the present road present period of the acquisition
Example is compared with the preset congestion proportion threshold value, obtains comparison result;
Is carried out by the present road and is worked as the initial time of the present road present period according to the comparison result
The prediction of preceding period road conditions.
Preferably, described according to the comparison result, to the initial time of the present road present period, described in progress
The prediction of present road present period road conditions, comprising:
It, will if the congestion ratio of the present road present period initial time is greater than the preset congestion proportion threshold value
The road condition predicting of present road present period is congestion;
If the congestion ratio of the present road present period initial time is not more than the preset congestion proportion threshold value,
Road condition predicting by present road present period is normal.
Preferably, it is described according to the corresponding history road condition data of the congestion obtain the present road it is current when
The average congestion rate of section, and current road is carried out according to the predicting road conditions of the present road present period and the average congestion rate
The adjustment of the duration of the traffic lights on road, comprising:
All history vehicle flowrate data of present road corresponding with the present period are obtained, and in the present road
All history vehicle flowrate data in corresponding with the congestion history vehicle flowrate data of inquiry;
According to the corresponding history vehicle flowrate data of the congestion and the maximum vehicle flowrate threshold value, the history is obtained
The congestion rate of vehicle flowrate data;
The average congestion rate of the present road present period is obtained according to the congestion rate of the history vehicle flowrate data;
When the predicting road conditions for detecting the present road present period are congestions, carried out according to the average congestion rate
The adjustment of the duration of the traffic lights of present road.
Preferably, before the historical traffic data for obtaining present road, further includes:
Road number is arranged in each road, sub- number is respectively set in the traffic lights belonging under each road, by traffic lights with
Respective road is corresponded to, and by historical traffic data it is corresponding with the road number after store in the database;
The historical traffic data for obtaining present road, comprising:
Obtain the number and preset statistical time section of present road;
According to the number of the present road and preset statistical time section, is inquired, obtained in the database
Obtain the historical traffic data of present road.
The device for the adjustment traffic lights duration based on road condition predicting that disclosed herein as well is a kind of, described device include:
Data acquisition module: it is set as obtaining the historical traffic data of present road;
Statistical module: being set as statistical analysis to the historical traffic data of the present road, obtains described current
The history road conditions of road each period, the history road conditions include congestion and normal;
Adjustment module: being set as carrying out road condition predicting according to present period of the history road conditions to present road, according to
The corresponding history road condition data of the congestion obtains the average congestion rate of the present period of the present road, and according to institute
The predicting road conditions and the average congestion rate of stating present road present period carry out the adjustment of the duration of the traffic lights of present road.
Disclosed herein as well is a kind of computer equipment, the computer equipment includes memory and processor, described to deposit
Computer-readable instruction is stored in reservoir to be made when the computer-readable instruction is executed by one or more processors
Obtain the step of one or more processors execute the method for adjustment traffic lights duration described above.
Disclosed herein as well is a kind of storage medium, the storage medium can be read and write by processor, and the storage medium is deposited
Computer instruction is contained, when the computer-readable instruction is executed by one or more processors, so that one or more processing
Device executes the step of method of adjustment traffic lights duration described above.
The beneficial effect of the application is: the application passes through the historical data for obtaining every road day part, according to history
The jam situation of analysis every road day part of prediction of data, and traffic lights, Ke Yiyou are adjusted according to the jam situation of prediction
Effect improves traffic lights service efficiency, reduces road traffic pressure, improves vehicle pass-through efficiency.
Detailed description of the invention
Fig. 1 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of the application one embodiment
Schematic diagram;
Fig. 2 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of second embodiment of the application
Schematic diagram;
Fig. 3 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of the application third embodiment
Schematic diagram;
Fig. 4 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of the 4th embodiment of the application
Schematic diagram;
Fig. 5 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of the 5th embodiment of the application
Schematic diagram;
Fig. 6 is a kind of process of the method for adjustment traffic lights duration based on road condition predicting of the 6th embodiment of the application
Schematic diagram;
Fig. 7 is a kind of apparatus structure schematic diagram of adjustment traffic lights duration based on road condition predicting of the embodiment of the present application.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, and
It is not used in restriction the application.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in the description of the present application
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.
A kind of method flow such as Fig. 1 institute of the adjustment traffic lights duration based on road condition predicting of the application one embodiment
Show, the present embodiment the following steps are included:
Step s101 obtains the historical traffic data of present road;
Specifically, the historical traffic data of the present road can be obtained from traffic department, the historical traffic data packet
Include the vehicle flowrate data of arbitrary period in one day, for example, crossing A in the morning 7-8 point vehicle flowrate be 1000.The history is handed over
Logical data can be divided by each road, can be by link name in traffic when obtaining the historical traffic data of present road
It is inquired in the database of department, gets the historical traffic data of present road.
Step s102, it is for statistical analysis to the historical traffic data of the present road, it is every to obtain the present road
The history road conditions of a period, the history road conditions include congestion and normal;
It, can historical traffic number to the present road specifically, after getting the historical traffic data of present road
According to for statistical analysis, the statistical analysis includes carrying out statistics and analysis, institute to the historical traffic data of the present road
Stating statistics includes the congestion number gone out in any time according to the vehicle flowrate data statistics in historical traffic data, then according to institute
The congestion number stated in any time is analyzed, and the history road conditions of the present road each period, the history road are obtained
Condition includes congestion and normal.
Step s103 carries out road condition predicting according to present period of the history road conditions to present road, is gathered around according to described
The stifled corresponding history road condition data of situation obtains the average congestion rate of the present period of the present road, and according to described current
The predicting road conditions of road present period and the average congestion rate carry out the adjustment of the duration of the traffic lights of present road.
Specifically, it includes being carried out according to the history road conditions that the present period to present road, which carries out road condition predicting,
The prediction of the road conditions of subsequent period carries out the adjustment of traffic lights duration with this, if the congestion number in the statistical time
Greater than desired congestion number, it may be considered that the current time of current road segment in history is maximum probability congestion, therefore can
It to predict that the road conditions of the present period of present road are congestions, needs to be adjusted traffic lights, if the statistical time
Interior congestion number is not more than desired congestion number, it may be considered that the current time of current road segment in history is small probability
Congestion, therefore can predict that the road conditions of the present period of present road are normally, without being adjusted to traffic lights.
Specifically, when needing the duration to the traffic lights of present road to be adjusted, red light and green can be adjusted separately
The duration of lamp can reduce the duration of red light when being adjusted to red light, when being adjusted to green light, can increase green light
Duration;Since there are two road in a usual crossroad, when the traffic lights to a road are adjusted, another road
Traffic lights should adjust accordingly, for example, there are road A and road B in crossroad, road A and road B are right-angled intersections, when
When reducing duration to the red light of road A, the long green light time of road B should accordingly be reduced according to the increased amplitude of red light of road A, together
Sample, when the green light to road A increases duration, the red light duration of road B should be corresponding according to the increased amplitude of green light of road A
Increase.
Specifically, when needing the duration to the traffic lights of present road to be adjusted, it can be according to the present road
Average congestion rate carries out, and the average congestion rate can be obtained according to the historical traffic data of the present road.
In the present embodiment, by obtaining the historical data of every road day part, predicted according to the analysis to historical data
The jam situation of every road day part, and traffic lights are adjusted according to the jam situation of prediction, can effectively improve traffic lights makes
With efficiency, road traffic pressure is reduced, improves vehicle pass-through efficiency.
Fig. 2 is that a kind of method flow of adjustment traffic lights duration based on road condition predicting of second embodiment of the application shows
It is intended to, as shown, the step s102, for statistical analysis to the historical traffic data of the present road, described in acquisition
The history road conditions of present road each period, the history road conditions include congestion and normal, comprising:
The historical traffic data of the present road is carried out Time segments division by step s201;
It, can historical traffic number to the present road specifically, after getting the historical traffic data of present road
According to Time segments division is carried out, the Time segments division can be terminated since morning peak with evening peak, and as unit of hour, such as:
Since 6:00 AM, terminate to 9 points at night, wherein being within every 1 hour 1 period.
Step s202 obtains the friendship of each period of present road in the statistical time section according to the period of the division
Logical data;And it is for statistical analysis according to the traffic data of each period of present road in the statistical time section, obtain institute
State the history road conditions of each period of present road in statistical time section, the history road conditions include congestion and normal.
Specifically, after having divided the period present road in statistical time section can be obtained according to the period of the division
Corresponding historical traffic data of each period, then can be counted according to the historical traffic data of present road each period
Analysis, and analysis is carried out according to the historical traffic data of each period and obtains present road each period in the statistical piece
History road conditions, the history road conditions include congestion and normal.
In the present embodiment, by carrying out Time segments division to historical traffic data, the traffic number of day part can be effectively obtained
According to, and it is for statistical analysis to day part traffic data, obtain the road conditions of day part.
Fig. 3 is that a kind of method flow of adjustment traffic lights duration based on road condition predicting of the application third embodiment shows
Be intended to, as shown, the step s202, according to the traffic data of each period of present road in the statistical time section into
Row statistical analysis, obtains the history road conditions of each period of present road in the statistical time section, comprising:
Step s301 obtains the maximum vehicle flowrate threshold value of present road, and according to present road in the statistical time section
The traffic data of each period obtain the vehicle flowrate data of each period of present road in the statistical time section;
Specifically, the maximum vehicle flowrate threshold value of the present road can be obtained from the database of traffic department, it is described most
Cart flow threshold, which refers to corresponding section within a certain period of time, can normally bear the total vehicle number passed through, for differentiating
Whether the section is congestion choosing in the period, when being more than this maximum vehicle flowrate threshold value, so that it may think to send out
Raw congestion.
Specifically, after getting the traffic data of each period of present road in statistical time section, due to traffic number
According to including vehicle flowrate data, therefore it is achieved with the vehicle flowrate data of each period of present road in the statistical time section.
The vehicle flowrate data are compared with the maximum vehicle flowrate threshold value of the present road, work as institute by step s302
The vehicle flowrate data for stating any time period of present road in statistical time section are greater than the maximum vehicle flowrate threshold value of the present road
When, congestion is set by the present road corresponding period, and to each of present road in the statistical time section
The congestion number of period is added up respectively, obtains the congestion total degree of each period of the present road;
The present period that the present road is obtained according to the corresponding history road condition data of the congestion is put down
Equal congestion rate, comprising:
The present period of the present road is obtained according to the congestion total degree of each period of the present road
Average congestion rate.
Specifically, the vehicle flowrate data can be compared with the maximum vehicle flowrate threshold value of the present road, it is described
Compare is by the maximum wagon flow of all vehicle flowrate data of present road a certain period in statistical time section and the present road
Amount threshold value is compared, when the vehicle flowrate data of any time period of present road in the statistical time section are greater than the current road
When the maximum vehicle flowrate threshold value on road, congestion can be set by the present road corresponding period, and when to the statistics
Between in section the congestion number of each period of present road added up respectively, obtain each period of the present road
Congestion total degree.
Specifically, the corresponding history road condition data of the congestion includes congestion total degree, by road
The number statistics of the history road conditions of congestion is achieved with congestion total degree, then obtains from the history road conditions of each congestion
Congestion rate data, and it is total divided by the congestion that the corresponding congestion rate data of the history road conditions of all congestions are summed
Number is achieved with the average congestion rate of the present period of the present road.
In the present embodiment, by the statistical comparison of the history vehicle flowrate to present road day part, can effectively it obtain current
The congestion of road day part.
Fig. 4 is that a kind of method flow of adjustment traffic lights duration based on road condition predicting of the 4th embodiment of the application shows
It is intended to, as shown, the step s103, carries out road condition predicting according to present period of the history road conditions to present road,
Include:
Step s401, presets the congestion proportion threshold value of every road, and obtains the initial time of present road present period;
Specifically, the congestion proportion threshold value of every road can first be preset, the congestion proportion threshold value is used for the crossing
The traffic condition of period predicted, and the initial time of present road present period is obtained, when the present road is current
At the beginning of the initial time of section refers to each period, for example, the initial time of period 7-8 point is 7 points, in each period
Initial time can start the inquiries of traffic condition predictions data.
Step s402, according to the congestion total degree corresponding with present period of present road in the statistical time section
And the statistical time section obtains the congestion ratio of present road present period, and by the present road present period of the acquisition
Congestion ratio be compared with the preset congestion proportion threshold value, obtain comparison result;
Specifically, can be according to the congestion total degree corresponding with present period of present road in the statistical time section
And the statistical time section obtains the congestion ratio of present road present period, the congestion ratio of the present road present period
It is the congestion total degree corresponding with present period by present road in the statistical time section divided by the statistical time
The number of days of section, for example, it is then 365 if it is 1 year, if certain road that then statistical time number of segment value, which is 182, if it is half a year
Total congestion number is 280 in 1 year of period, then congestion ratio is 280/365=76.7%;Wherein, the statistical time section
The congestion total degree corresponding with present period of interior present road is carried out for the specific time period of every road, example
Such as, the total congestion number of morning peak 7-8 point of the road A0001 within 1 year is 280.
Specifically, after getting the congestion ratio of present road present period, it can be by the present road present period
Congestion ratio be compared with preset congestion proportion threshold value, obtain comparison result.
Step s403, to the initial time of the present road present period, works as according to the comparison result described in progress
The prediction of preceding road present period road conditions.
Specifically, after getting comparison result, so that it may according to the comparison result before the enterprising trade of initial time
The prediction of the road conditions of road present period, it is congestion or just that the prediction, which includes the next road conditions of present road present period,
Often.
In the present embodiment, by corresponding with the present period history road conditions of statistics present road, can effectively to it is current when
The road conditions of section are predicted, road traffic efficiency is improved.
Fig. 5 is that a kind of method flow of adjustment traffic lights duration based on road condition predicting of the 5th embodiment of the application shows
It is intended to, as shown, the step s403, according to the comparison result, to the initial time of the present road present period,
Carry out the prediction of the present road present period road conditions, comprising:
Step s501, if the congestion ratio of the present road present period initial time is greater than the preset congestion ratio
The road condition predicting of present road present period is congestion by example threshold value;
Specifically, if the initial time in the present road present period is taken in the present road present period
It can be congestion, institute by the road condition predicting of present road present period when congestion ratio is greater than the preset congestion proportion threshold value
Information transmission can be carried out by stating prediction data, can also be shown in operation interface, and be sent to controlling system of traffic light, for controlling
Traffic lights duration processed.
Step s502, if the congestion ratio of the present road present period initial time is not more than the preset congestion
Proportion threshold value, the road condition predicting by present road present period are normal.
Specifically, if the initial time in the present road present period is taken in the present road present period
Congestion ratio be not more than the preset congestion proportion threshold value when, can be by the road condition predicting of present road present period it is normal,
The prediction data can carry out information transmission, can also show in operation interface, but at this moment be not required to be sent to traffic lights control
System does not need to be adjusted traffic lights.
In the present embodiment, by the comparison to congestion ratio in historical traffic data, when can be effectively current to present road
The road conditions of section are predicted, road efficiency can be effectively improved.
Fig. 6 is that a kind of method flow of adjustment traffic lights duration based on road condition predicting of the 6th embodiment of the application shows
It is intended to, as shown, the step s103, obtains the present road according to the corresponding history road condition data of the congestion
Present period average congestion rate, and according to the predicting road conditions of the present road present period and the average congestion rate into
The adjustment of the duration of the traffic lights of row present road, comprising:
Step s601 obtains all history vehicle flowrate data of present road corresponding with the present period, and in institute
It states and inquires history vehicle flowrate data corresponding with the congestion in all history vehicle flowrate data of present road;
Specifically, can first obtain and work as with described when determination will be adjusted the traffic lights of present road present period
All history vehicle flowrate data of preceding period corresponding present road, and in all history vehicle flowrate data of the present road
It is middle to inquire history vehicle flowrate data corresponding with the congestion, to obtain the corresponding with present period every of present road
The congestion rate of secondary history congestion.
Step s602 is obtained according to the corresponding history vehicle flowrate data of the congestion and the maximum vehicle flowrate threshold value
Obtain the congestion rate of the history vehicle flowrate data;The present road is obtained according to the congestion rate of the history vehicle flowrate data to work as
The average congestion rate of preceding period;
Specifically, after getting the history vehicle flowrate data corresponding with the congestion of present road, it can basis
The corresponding history vehicle flowrate data of the congestion and the maximum vehicle flowrate threshold value obtain that each congestion is corresponding to be gone through
The corresponding congestion rate of history vehicle flowrate data, the congestion rate are by the corresponding history vehicle flowrate data of congestion divided by most cart
Flow threshold, for example, the maximum vehicle flowrate threshold value of road A0001 is 1000, practical vehicle flowrate is 1200, then congestion rate is
1200/1000=120%.
Specifically, after getting the corresponding history vehicle flowrate data of each congestion corresponding congestion rate, Ke Yitong
The average value of the corresponding congestion rate of the corresponding history vehicle flowrate data of all congestions is counted out, for example, 1 year of road A0001
The corresponding congestion rate of middle first time congestion is 120%, and the corresponding congestion rate of second of congestion is 110% ...
The corresponding congestion rate of last time congestion is 130%, it is assumed that a shared X congestion, then averagely congestion rate is (120%+
110%+...+130%)/X.
Step s603, when the predicting road conditions for detecting the present road present period are congestions, according to described average
Congestion rate carries out the adjustment of the duration of the traffic lights of present road.
Specifically, when the predicting road conditions for detecting the present road present period are congestions, it can be according to described average
Congestion rate carries out the adjustment of the duration of the traffic lights of present road, and the adjustment can be subtracting to the red light duration of present road
It is few, it is also possible to the increase to the long green light time of present road;When the long green light time to present road is adjusted, can pass through
Formula TG=tg*P is carried out, and wherein TG is long green light time adjusted, and tg is the long green light time before adjustment, and P is average congestion
Rate, for example, long green light time is 10s before adjusting, average congestion rate is 120%, then long green light time adjusted is 12s;When to working as
It when the red light duration of preceding road is adjusted, can be carried out by formula TR=tr* (2-P), wherein TR is red light adjusted
Duration, tg are the red light duration before adjustment, and P is average congestion rate, for example, a length of 10s, average congestion rate are when red light before adjusting
120%, then a length of 8s when red light adjusted.
Specifically, should starting simultaneously same crossing, remaining is red when the duration of the traffic lights to present road is adjusted
The detection of the adjustment situation of green light, the adjustment situation of remaining traffic lights include whether remaining traffic lights is also required to adjust;By
There are two road in a crossroad, if the traffic lights of East and West direction and north-south road are all predicted to be congestion and needs
When adjustment, it may occur that the situation of conflict, therefore to synchronize.
Specifically, when detect remaining traffic lights of same crossing be also required to adjustment when, i.e., if transmeridional traffic lights and
When the duration of the traffic lights in north-south needs to adjust simultaneously, the size of the average congestion rate P in East and West direction and north-south can determine whether;Its
In, since east orientation and west are that symmetrically, south orientation and north orientation are symmetrical, therefore are only needed transmeridional to the time of traffic lights
When detect north-south, or detect East and West direction when north-south;And the duration of the corresponding traffic lights of larger P value is carried out
The duration of active accommodation, the corresponding traffic lights of smaller P value does not do active accommodation, but to the corresponding traffic lights of larger P value
Duration needs the duration to the corresponding traffic lights of smaller P value to be adaptively adjusted after carrying out active accommodation, guarantees same four crossway
The traffic lights in the two road of mouth do not clash.
In the present embodiment, history is obtained by carrying out statistics to historical traffic data and be averaged congestion rate, and is put down according to described
Equal congestion rate carries out the adjustment of traffic lights duration, can effectively improve road efficiency.
In one embodiment, the step s101, before the historical traffic data for obtaining present road, further includes: will
Road number is arranged in each road, sub- number is respectively set in the traffic lights belonging under each road, by traffic lights and respective road
Corresponded to, and by historical traffic data it is corresponding with the road number after store in the database;
Specifically, road number can be arranged in every road, to distinguish every road in the database of traffic department
Road, the traffic data of the corresponding respective road of the number of every road, then sub- number is respectively set in the traffic lights of every road, and
Traffic lights are carried out with respective road it is corresponding, for example, road number is A0001, it is assumed that road A0001 be it is transmeridional, then
East orientation traffic lights number is A0001-1, and west is A0001-2 to traffic lights number, and the traffic lights are numbered to distinguish traffic lights,
It is corresponded to when carrying out duration adjustment to traffic lights.
Specifically, the historical traffic data for obtaining present road, comprising:
Default statistical time section, and the number of present road is obtained, the statistical time section and road number are used for institute
The historical traffic data for stating the present road in the period is counted, and thus to obtain the history congestion of present road;
Such as: can preset statistical time section is that half a year, perhaps the 1 year half a year or 1 year were nearest half a year or 1 year, it is assumed that
Today be on 2 18th, 2019, then can choose statistical time section be 2 months 1 day to 2019 on January this year 31, in 2018 when
Between, or choosing statistical time section is on January 31st, 1 day 1 this six months of August in 2018.Then can be worked as according to described
The number of preceding road is inquired in the database, obtains the historical traffic data of present road.
Specifically, after getting the number of present road, can according to the number in the database of traffic department into
Row inquiry, obtains the historical traffic data of present road, the historical traffic data includes present road in the statistical time
The vehicle flowrate data of the arbitrary period of every day in section.
In the present embodiment, by the way that road is numbered, and historical traffic data and road are bound, can effectively be mentioned
High historical traffic data obtains efficiency.
A kind of apparatus structure of adjustment traffic lights duration based on road condition predicting of the embodiment of the present application is as shown in fig. 7, packet
It includes:
Data acquisition module 701, statistical module 702 and adjustment module 703;Wherein, data acquisition module 701 and statistics mould
Block 702 is connected, and statistical module 702 is connected with adjustment module 703;Data acquisition module 701 is set as obtaining going through for present road
History traffic data;Statistical module 702 is set as statistical analysis to the historical traffic data of the present road, described in acquisition
The history road conditions of present road each period, the history road conditions include congestion and normal;Adjustment module 703 is set as according to institute
It states history road conditions and road condition predicting is carried out to the present period of present road, according to the corresponding history road condition data of the congestion
Obtain the average congestion rate of the present period of the present road, and according to the predicting road conditions of the present road present period and
The average congestion rate carries out the adjustment of the duration of the traffic lights of present road.
The embodiment of the present application also discloses a kind of computer equipment, and the computer equipment includes memory and processor,
Computer-readable instruction is stored in the memory, the computer-readable instruction is executed by one or more processors
When, so that one or more processors execute the step in the method for adjustment traffic lights duration described in the various embodiments described above
Suddenly.
The embodiment of the present application also discloses a kind of storage medium, and the storage medium can be read and write by processor, the storage
Device is stored with computer-readable instruction, when the computer-readable instruction is executed by one or more processors so that one or
Multiple processors execute the step in the method for adjustment traffic lights duration described in the various embodiments described above.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between
In matter, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium above-mentioned can be
The non-volatile memory mediums such as magnetic disk, CD, read-only memory (Read-OnlyMemory, ROM) or random storage note
Recall body (RandomAccessMemory, RAM) etc..
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
The limitation to the application the scope of the patents therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the concept of this application, various modifications and improvements can be made, these belong to the guarantor of the application
Protect range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of method of the adjustment traffic lights duration based on road condition predicting, which comprises the following steps:
Obtain the historical traffic data of present road;
It is for statistical analysis to the historical traffic data of the present road, obtain the history road of the present road each period
Condition, the history road conditions include congestion and normal;
Road condition predicting is carried out according to present period of the history road conditions to present road, is gone through according to the congestion is corresponding
History road condition data obtains the average congestion rate of the present period of the present road, and according to the present road present period
Predicting road conditions and the average congestion rate carry out the adjustment of the duration of the traffic lights of present road.
2. the method for the adjustment traffic lights duration based on road condition predicting as described in claim 1, which is characterized in that described to institute
The historical traffic data for stating present road is for statistical analysis, obtains the history road conditions of the present road each period, described
History road conditions include congestion and normal, comprising:
The historical traffic data of the present road is subjected to Time segments division;
The traffic data of each period of present road in the statistical time section is obtained according to the period of the division;
And it is for statistical analysis according to the traffic data of each period of present road in the statistical time section, obtain the system
Count the history road conditions of each period of present road in the period, the history road conditions include congestion and normal.
3. the method for the adjustment traffic lights duration based on road condition predicting as claimed in claim 2, which is characterized in that the basis
The traffic data of each period of present road is for statistical analysis in the statistical time section, obtains in the statistical time section
The history road conditions of each period of present road, comprising:
The maximum vehicle flowrate threshold value of present road is obtained, and according to the friendship of each period of present road in the statistical time section
Logical data obtain the vehicle flowrate data of each period of present road in the statistical time section;
The vehicle flowrate data are compared with the maximum vehicle flowrate threshold value of the present road, when in the statistical time section
When the vehicle flowrate data of any time period of present road are greater than the maximum vehicle flowrate threshold value of the present road, by the current road
The road corresponding period is set as congestion, and to the congestion of each period of present road in the statistical time section time
Number is added up respectively, obtains the congestion total degree of each period of the present road;
Being averaged for present period for obtaining the present road according to the corresponding history road condition data of the congestion is gathered around
Stifled rate, comprising:
The flat of the present period of the present road is obtained according to the congestion total degree of each period of the present road
Equal congestion rate.
4. the method for the adjustment traffic lights duration based on road condition predicting as claimed in claim 3, which is characterized in that the basis
The history road conditions carry out road condition predicting to the present period of present road, comprising:
The congestion proportion threshold value of every road is preset, and obtains the initial time of present road present period;
When according to the congestion total degree corresponding with present period of present road in the statistical time section and the statistics
Between section obtain present road present period congestion ratio, and by the congestion ratio of the present road present period of the acquisition with
The preset congestion proportion threshold value is compared, and obtains comparison result;
According to the comparison result, to the initial time of the present road present period, carry out the present road it is current when
The prediction of Duan Lukuang.
5. the method for the adjustment traffic lights duration based on road condition predicting as claimed in claim 4, which is characterized in that the basis
The comparison result carries out the present road present period road conditions to the initial time of the present road present period
Prediction, comprising:
If the congestion ratio of the present road present period initial time is greater than the preset congestion proportion threshold value, will be current
The road condition predicting of road present period is congestion;
If the congestion ratio of the present road present period initial time is not more than the preset congestion proportion threshold value, will work as
The road condition predicting of preceding road present period is normal.
6. the method for the adjustment traffic lights duration based on road condition predicting as claimed in claim 5, which is characterized in that the basis
The corresponding history road condition data of the congestion obtains the average congestion rate of the present period of the present road, and according to institute
The predicting road conditions and the average congestion rate of stating present road present period carry out the adjustment of the duration of the traffic lights of present road,
Include:
All history vehicle flowrate data of present road corresponding with the present period are obtained, and in the institute of the present road
Have and inquires history vehicle flowrate data corresponding with the congestion in history vehicle flowrate data;
According to the corresponding history vehicle flowrate data of the congestion and the maximum vehicle flowrate threshold value, the history wagon flow is obtained
Measure the congestion rate of data;
The average congestion rate of the present road present period is obtained according to the congestion rate of the history vehicle flowrate data;
When the predicting road conditions for detecting the present road present period are congestions, carried out according to the average congestion rate current
The adjustment of the duration of the traffic lights of road.
7. the method for the adjustment traffic lights duration based on road condition predicting as claimed in claim 6, which is characterized in that the acquisition
Before the historical traffic data of present road, further includes:
Road number is arranged in each road, sub- number is respectively set in the traffic lights belonging under each road, by traffic lights and respectively
Road corresponded to, and by historical traffic data it is corresponding with the road number after store in the database;
The historical traffic data for obtaining present road, comprising:
Obtain the number and preset statistical time section of present road;
According to the number of the present road and preset statistical time section, is inquired, worked as in the database
The historical traffic data of preceding road.
8. a kind of device of the adjustment traffic lights duration based on road condition predicting, which is characterized in that described device includes:
Data acquisition module: it is set as obtaining the historical traffic data of present road;
Statistical module: it is set as statistical analysis to the historical traffic data of the present road, obtains the present road
The history road conditions of each period, the history road conditions include congestion and normal;
Adjustment module: it is set as carrying out road condition predicting according to present period of the history road conditions to present road, according to described
The corresponding history road condition data of congestion obtains the average congestion rate of the present period of the present road, and is worked as according to described
The predicting road conditions of preceding road present period and the average congestion rate carry out the adjustment of the duration of the traffic lights of present road.
9. a kind of computer equipment, which is characterized in that the computer equipment includes memory and processor, in the memory
It is stored with computer-readable instruction, when the computer-readable instruction is executed by one or more processors, so that one
Or multiple processors execute the step of method that traffic lights duration is adjusted as described in any one of claims 1 to 7.
10. a kind of storage medium, which is characterized in that the storage medium can be read and write by processor, and the storage medium is stored with
Computer instruction, when the computer-readable instruction is executed by one or more processors, so that one or more processors are held
Row adjusts the step of method of traffic lights duration as described in any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910666714.9A CN110491144B (en) | 2019-07-23 | 2019-07-23 | Traffic light duration adjusting method based on road condition prediction and related equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910666714.9A CN110491144B (en) | 2019-07-23 | 2019-07-23 | Traffic light duration adjusting method based on road condition prediction and related equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110491144A true CN110491144A (en) | 2019-11-22 |
CN110491144B CN110491144B (en) | 2021-08-31 |
Family
ID=68548080
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910666714.9A Active CN110491144B (en) | 2019-07-23 | 2019-07-23 | Traffic light duration adjusting method based on road condition prediction and related equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110491144B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112164222A (en) * | 2020-09-25 | 2021-01-01 | 济南浪潮高新科技投资发展有限公司 | Traffic light device and system based on laser radar |
CN112382099A (en) * | 2021-01-15 | 2021-02-19 | 腾讯科技(深圳)有限公司 | Traffic road condition prediction method and device, electronic equipment and storage medium |
CN112419729A (en) * | 2020-11-23 | 2021-02-26 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining decision strategy according to predicted traffic flow |
CN112651613A (en) * | 2020-12-18 | 2021-04-13 | 航天信息股份有限公司 | Traffic management government affair service management system |
CN113112824A (en) * | 2021-03-19 | 2021-07-13 | 杭州航弘建设科技有限公司 | Road regulation and control method and device, intelligent terminal and storage medium |
CN113947927A (en) * | 2021-12-06 | 2022-01-18 | 文思海辉智科科技有限公司 | Adjusting method and device for traffic signal lamp timing |
CN116229740A (en) * | 2023-05-10 | 2023-06-06 | 湖北大学 | Traffic light timing control method and system |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101206801A (en) * | 2007-12-17 | 2008-06-25 | 青岛海信网络科技股份有限公司 | Self-adaption traffic control method |
CN101477747A (en) * | 2009-01-05 | 2009-07-08 | 东南大学 | Signal control method for high density road grid in traffic rush hour |
CN101739820A (en) * | 2009-11-19 | 2010-06-16 | 北京世纪高通科技有限公司 | Road condition predicting method and device |
CN103903455A (en) * | 2014-04-14 | 2014-07-02 | 东南大学 | Urban road traffic signal control optimization system |
JP2015022691A (en) * | 2013-07-23 | 2015-02-02 | コイト電工株式会社 | Signal control device, and method of preserving history data |
CN105225500A (en) * | 2015-08-20 | 2016-01-06 | 青岛海信网络科技股份有限公司 | A kind of traffic control aid decision-making method and device |
CN105390000A (en) * | 2015-12-18 | 2016-03-09 | 天津通翔智能交通系统有限公司 | Traffic signal control system and method based on road condition traffic big data |
CN108230699A (en) * | 2018-03-08 | 2018-06-29 | 吉林工程技术师范学院 | A kind of traffic signal control system based on road conditions traffic big data |
EP3425608A1 (en) * | 2017-07-03 | 2019-01-09 | Fujitsu Limited | Traffic signal control using multiple q-learning categories |
CN109493617A (en) * | 2018-10-29 | 2019-03-19 | 沈阳天久信息技术工程有限公司 | A kind of traffic signal optimization control method and device |
-
2019
- 2019-07-23 CN CN201910666714.9A patent/CN110491144B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101206801A (en) * | 2007-12-17 | 2008-06-25 | 青岛海信网络科技股份有限公司 | Self-adaption traffic control method |
CN101477747A (en) * | 2009-01-05 | 2009-07-08 | 东南大学 | Signal control method for high density road grid in traffic rush hour |
CN101739820A (en) * | 2009-11-19 | 2010-06-16 | 北京世纪高通科技有限公司 | Road condition predicting method and device |
JP2015022691A (en) * | 2013-07-23 | 2015-02-02 | コイト電工株式会社 | Signal control device, and method of preserving history data |
CN103903455A (en) * | 2014-04-14 | 2014-07-02 | 东南大学 | Urban road traffic signal control optimization system |
CN105225500A (en) * | 2015-08-20 | 2016-01-06 | 青岛海信网络科技股份有限公司 | A kind of traffic control aid decision-making method and device |
CN105390000A (en) * | 2015-12-18 | 2016-03-09 | 天津通翔智能交通系统有限公司 | Traffic signal control system and method based on road condition traffic big data |
EP3425608A1 (en) * | 2017-07-03 | 2019-01-09 | Fujitsu Limited | Traffic signal control using multiple q-learning categories |
CN108230699A (en) * | 2018-03-08 | 2018-06-29 | 吉林工程技术师范学院 | A kind of traffic signal control system based on road conditions traffic big data |
CN109493617A (en) * | 2018-10-29 | 2019-03-19 | 沈阳天久信息技术工程有限公司 | A kind of traffic signal optimization control method and device |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112164222A (en) * | 2020-09-25 | 2021-01-01 | 济南浪潮高新科技投资发展有限公司 | Traffic light device and system based on laser radar |
CN112419729A (en) * | 2020-11-23 | 2021-02-26 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining decision strategy according to predicted traffic flow |
CN112419729B (en) * | 2020-11-23 | 2022-04-15 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining decision strategy according to predicted traffic flow |
CN112651613A (en) * | 2020-12-18 | 2021-04-13 | 航天信息股份有限公司 | Traffic management government affair service management system |
CN112382099A (en) * | 2021-01-15 | 2021-02-19 | 腾讯科技(深圳)有限公司 | Traffic road condition prediction method and device, electronic equipment and storage medium |
CN113112824A (en) * | 2021-03-19 | 2021-07-13 | 杭州航弘建设科技有限公司 | Road regulation and control method and device, intelligent terminal and storage medium |
CN113947927A (en) * | 2021-12-06 | 2022-01-18 | 文思海辉智科科技有限公司 | Adjusting method and device for traffic signal lamp timing |
CN116229740A (en) * | 2023-05-10 | 2023-06-06 | 湖北大学 | Traffic light timing control method and system |
CN116229740B (en) * | 2023-05-10 | 2023-10-10 | 湖北大学 | Traffic light timing control method and system |
Also Published As
Publication number | Publication date |
---|---|
CN110491144B (en) | 2021-08-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110491144A (en) | The method and relevant device of adjustment traffic lights duration based on road condition predicting | |
US10002530B1 (en) | Traffic signal control using multiple Q-learning categories | |
CN108806283B (en) | Control method of traffic signal lamp and Internet of vehicles platform | |
EP3425608B1 (en) | Traffic signal control using multiple q-learning categories | |
CN106384519B (en) | Traffic light control method and device | |
CN108597235B (en) | Intersection signal parameter optimization and effect evaluation method based on traffic video data | |
CN106297328A (en) | A kind of method for controlling traffic signal lights and device | |
CN111932888B (en) | Regional dynamic boundary control method and system for preventing boundary road section queuing overflow | |
WO2010103504A1 (en) | System and method for controlling traffic by coordination of intersection approaching flows | |
CN109064764B (en) | Traffic control method and device | |
CN105513379A (en) | Multi-target traffic signal networked joint control method | |
CN104252788B (en) | Signal controls lower crossing pedestrian's green time method to set up | |
WO2022036765A1 (en) | Intelligent changeable lane sensing system and method for microwave radar | |
CN114299729B (en) | Signal control method, system and computer storage medium based on intelligent traffic | |
CN111613070A (en) | Traffic signal lamp control method, traffic signal lamp control device, electronic equipment and computer storage medium | |
CN105027176A (en) | A system for intelligent traffic control | |
CN114202916B (en) | Single-point intersection traffic signal control method | |
CN112071095B (en) | Signal timing method for emergency vehicle passing intersection based on V2X technology | |
CN113053142A (en) | Bus priority control system based on vehicle-mounted positioning and bus path cooperation technology | |
CN111275989A (en) | Single-point signal timing optimization method driven by congestion alarm | |
CN108022015B (en) | Method for correcting traffic capacity of left-turning motor vehicle | |
CN113823102A (en) | Self-adaptive signal timing system and method under software-defined vehicle-mounted network environment | |
CN109686087B (en) | Management method and device for patrol robot | |
CN111161549A (en) | Intelligent traffic intersection passing system | |
CN108053658B (en) | Expressway multi-turn-road coordination control method for congestion full-chain management |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |