CN105761517B - A kind of traffic signal timing method - Google Patents
A kind of traffic signal timing method Download PDFInfo
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- CN105761517B CN105761517B CN201610330062.8A CN201610330062A CN105761517B CN 105761517 B CN105761517 B CN 105761517B CN 201610330062 A CN201610330062 A CN 201610330062A CN 105761517 B CN105761517 B CN 105761517B
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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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- 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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Abstract
The present invention proposes a kind of traffic signal timing method, comprises the following steps：S1, obtain historical traffic data；S2, draw histogram；S3, traffic signal timing are set；S4, data calibration；S5, it is determined that final timing scheme.The present invention is by analyzing special bus flow historical data, one group of signal lamp initial configuration scheme on road is set, adaptivity and real-time are good, the even daily signal lamp duration of each cycle time section is different from, it can effectively optimize that road is original or the timing duration problem of newly-increased signal lamp, be advantageous to road and pass unimpeded.
Description
Technical field
The present invention relates to technical field of transportation, refers in particular to a kind of traffic signal timing method.
Background technology
Existing many traffic signal timing schemes do not have adaptivity, and reason is the formulation of these traffic signal timing schemes
The mode that criterion is derived from road experience or theoretical calculation mostly draws the timing schemes of several groups of fixed time periods, no
It can be suitably used for various roads environment；Some traffic signal timing scheme has adaptivity, but due to original initial configuration
Scheme does not have adaptivity, causes the adaptivity of this kind of timing scheme not very good.
The content of the invention
In order to solve the problems, such as that existing traffic signal timing scheme carries without adaptivity or adaptivity difference, the present invention
Go out a kind of traffic signal timing method, by analyzing special bus flow historical data, set one group of signal lamp on road initially to match somebody with somebody
Scheme is put, so that signal lamp adaptively adjusts timing, is advantageous to road and passes unimpeded.
The technical solution adopted in the present invention is：A kind of traffic signal timing method, comprises the following steps：
S1, obtain historical traffic data：A road for there are several crossroads is selected, wherein n-th of crossing is designated as
Nn, crossing Nn4 directions be respectively designated as Nn 1、Nn 2、Nn 3And Nn 4, the crossing each side is obtained from historical traffic data storehouse
To the congestion rate β of the left-hand rotation in setting time section, the vehicle flowrate of three kinds of travel directions of right-hand rotation and straight trip and road；
S2, draw histogram：The historical traffic data obtained according to step S1, a crossing is selected, by each crossing side
To each travel direction cycle time section in vehicle flowrate be depicted as histogram, every 30 seconds are transverse axis in cycle time
X, corresponding vehicle flowrate data are longitudinal axis y, and by histogram-fitting into curve；
S3, traffic signal timing are set：Each crossing direction, it is left-hand rotation for travel direction, if crossing direction is turned left
Vehicle flowrate>θ1And the straight trip flow of the opposite direction in the crossing direction>θ2, then turn left to be separately provided green light, be otherwise then not required to individually
Green light is set；It is straight trip for travel direction, the timing of green light is calculated by function f (k, h, l), passes through signal lamp phase
Setting principle obtains the timing of corresponding red light, wherein f (k, h, l)=α1k+α2h+α3L, k are histogram calculation gained in step S2
Average vehicle flow in cycle time, h are highest vehicle flowrate, and l is minimum vehicle flowrate, α1、α2、α3For constant parameter；
S4, data calibration：The timing scheme according to obtained by step S3, statistical vehicle flowrate data calculate congestion rate β1, by congestion
Rate β1Compared with congestion rate β, ifThen timing is reasonable, and wherein γ is experience percentage, otherwise needs to optimize constant parameter
α1、α2、α3；
S5, it is determined that final timing scheme：Repeat step S3 is calculated and step S4 calibrations, obtains the final timing of entire road
Scheme.
Preferably, in described step S2, histogram-fitting uses least square method into curve, and specific method is：If
Function y=f (x), there are i mutually different points (x, y) in plane, the distance of point to function curve is di, make an i and functions
Y=f (xi) distance quadratic sum it is minimum, i.e.,
Preferably, described experience percentage γ is 8%.
The beneficial effects of the invention are as follows：With adaptivity and real-time, the even daily signal of each cycle time section
Lamp duration is different from, and can effectively optimize that road is original or the timing duration problem of newly-increased signal lamp.
Brief description of the drawings
Fig. 1 is the process chart of the present invention；
Fig. 2 is crossroad N1 1The data on flows exemplary plot of travel direction；
Fig. 3 is crossroad N1 1Vehicle flowrate data when travel direction is keeps straight on；
Fig. 4 is crossroad N1 1The phase analysis that the timing of left-hand rotation green light is set.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.
A kind of traffic signal timing method, specific steps are as shown in Figure 1：
The first step, obtain historical traffic data.
A road for there are several crossroads is selected, wherein n-th of crossing is designated as Nn, crossing Nn4 directions difference
It is denoted as Nn 1、Nn 2、Nn 3And Nn 4, obtained from historical traffic data storehouse left-hand rotation of each direction in the crossing in setting time section,
The vehicle flowrate of three kinds of travel directions of right-hand rotation and straight trip and the congestion rate β of road.
If Fig. 2 is the N of crossroad1 1The data on flows of travel direction, the crossing turn left, turn right and straight trip time be
TTurn left, TTurn rightAnd TStraight trip, all directions vehicle flowrate of corresponding period is expressed as DTurn left, DTurn rightAnd DStraight trip。
Second step, draw histogram.
The historical traffic data obtained according to step S1, a crossing is selected, by each traveling side in each crossing direction
To cycle time section in vehicle flowrate be depicted as histogram, every 30 seconds are transverse axis x in cycle time, corresponding vehicle flowrate
Data are longitudinal axis y, and by histogram-fitting into curve.
The crossing N of corresponding diagram 21 1, when travel direction is keeps straight on, normal vehicle operation, usual cycle time is 1 hour,
Some cycles time TStraight tripIt is interior, study every 30 seconds vehicle flowrate data DStraight trip.With cycle time TStraight tripInterior every 30 seconds are transverse axis x, right
The vehicle flowrate data answered are that longitudinal axis y establishes histogram, and the data distribution on histogram represents corresponding wagon flow in cycle time section
Amount is as follows into curve, method by histogram-fitting by least square method：
If function y=f (x), there are i mutually different points (x, y) in plane, the distance of point to function curve is di, make i
Individual and function y=f (xi) distance quadratic sum it is minimum, i.e.,
N1 1The travel direction in crossing direction for straight trip when, by least square method by histogram-fitting into curve result such as
Shown in Fig. 3.N can similarly be obtained1 1The travel direction in crossing direction is left-hand rotation and the histogram turned right.
3rd step, traffic signal timing are set.
Each crossing direction, it is what is turned left for travel direction, judges that certain crossroad turns left whether to need individually to set
Green light is put, if crossing direction left turn traffic amount>θ1And the straight trip flow of the opposite direction in the crossing direction>θ2, then turn left need to individually set
Green light is put, is otherwise then not required to be separately provided green light.
As shown in figure 4, crossroad N1 1The vehicle flowrate in direction is designated as DTurn left, N1 4The vehicle flowrate in direction is designated as D, Straight trip.According to letter
The phase principle that signal lamp is set, it can influence to hand over traffic shape when the vehicle flowrate that the vehicle flowrate and opposite direction of left-hand rotation are kept straight on is larger
Condition, so setting threshold θ according to actual vehicle flowrate situation1And θ2, work as DTurn left＞ θ1And D, Straight trip＞ θ2, now turn left to be separately provided
Green light.
It is straight trip for travel direction, the timing of green light is calculated by function f (k, h, l), passes through signal lamp phase
Setting principle obtains the timing of corresponding red light, wherein f (k, h, l)=α1k+α2h+α3L, k are histogram calculation gained in step S2
Average vehicle flow in cycle time, h are highest vehicle flowrate, and l is minimum vehicle flowrate, α1、α2、α3For constant parameter.
For N1 1Histogram data analysis when the travel direction in crossing direction is keeps straight on, can be obtained all by histogram calculation
Average vehicle flow in time phase is k1, highest vehicle flowrate is h1, minimum vehicle flowrate is l1, then the timing calculation of green light by
Function f (k1,h1,l1) obtain：N1 1TIt is green=f (k1,h1,l1)=α1k1+α2h1+α3l1(α1、α2、α3For constant parameter).
Direction N can similarly be obtained1 2、N1 3And N1 4Green light timing, be N respectively1 2TIt is green、N1 3TIt is greenAnd N1 4TIt is green.Due to signal lamp phase
Position setting principle, N1 1TIt is red=N1 2TIt is green, can similarly obtain direction N1 2、N1 3And N1 4Red light timing, be N respectively1 2TIt is red、N1 3TIt is redWith
N1 4TIt is red。
4th step, data calibration.
The timing scheme according to obtained by step S3, statistical vehicle flowrate data calculate congestion rate β1, by congestion rate β1With congestion rate β
Compare, ifThen timing is reasonable, and wherein γ is experience percentage, can take γ=8%, otherwise needs to optimize constant parameter
α1、α2、α3。
5th step, it is final to determine timing scheme：The calculating of the 3rd step and the calibration of the 4th step are repeated, obtains entire road most
Whole timing scheme.
The technological thought of above example only to illustrate the invention, it is impossible to protection scope of the present invention is limited with this, it is every
According to technological thought proposed by the present invention, any change done on the basis of technical scheme, protection model of the invention is each fallen within
Within enclosing.
Claims (3)
- A kind of 1. traffic signal timing method, it is characterised in that：Comprise the following steps：S1, obtain historical traffic data：A road for there are several crossroads is selected, there are several directions at each crossing, Left-hand rotation, right-hand rotation and straight trip three kind of each direction in each crossing in setting time section is obtained from historical traffic data storehouse to travel The vehicle flowrate in direction and the congestion rate β of road；S2, draw histogram：The historical traffic data obtained according to step S1, a crossing is selected, by each crossing direction Vehicle flowrate is depicted as histogram in the cycle time section of each travel direction, and every 30 seconds are transverse axis x in cycle time, right The vehicle flowrate data answered are longitudinal axis y, and by histogram-fitting into curve；S3, traffic signal timing are set：Each crossing direction, it is left-hand rotation for travel direction, if crossing direction left turn traffic Amount>θ1And the straight trip flow of the opposite direction in the crossing direction>θ2, then turn left to be separately provided green light, be otherwise then not required to be separately provided Green light；It is straight trip for travel direction, the timing of green light is calculated by function f (k, h, l), is set by signal lamp phase Principle obtains the timing of corresponding red light, wherein f (k, h, l)=α1k+α2h+α3L, k are the cycle obtained by histogram calculation in step S2 Average vehicle flow in time, h are highest vehicle flowrate, and l is minimum vehicle flowrate, α1、α2、α3For constant parameter；S4, data calibration：The timing scheme according to obtained by step S3, statistical vehicle flowrate data calculate congestion rate β1, by congestion rate β1With Congestion rate β compares, ifThen timing is reasonable, and wherein γ is experience percentage, otherwise needs to optimize constant parameter α1、α2、 α3；S5, it is determined that final timing scheme：Repeat step S3 is calculated and step S4 calibrations, obtains the final timing side of entire road Case.
- A kind of 2. traffic signal timing method according to claim 1, it is characterised in that：In described step S2, histogram It is fitted to curve and uses least square method, specific method is：If function y=f (x), have in plane the mutually different points of i (x, Y), the distance of point to function curve is di, make an i and function y=f (xi) distance quadratic sum it is minimum, i.e.,
- A kind of 3. traffic signal timing method according to claim 1, it is characterised in that：Described experience percentage γ is 8%.
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| CN107293133B (en) * | 2017-08-14 | 2019-09-06 | 清华大学深圳研究生院 | A kind of method for controlling traffic signal lights |
| CN108171996B (en) * | 2018-01-04 | 2018-10-19 | 重庆公共运输职业学院 | A kind of self-adapting intelligent traffic lights control method |
| CN109697867B (en) * | 2019-01-28 | 2020-10-20 | 深圳市欧德克科技有限公司 | Deep learning-based traffic control method and system |
| CN110209068A (en) * | 2019-06-11 | 2019-09-06 | 滁州学院 | A kind of traffic lights timing designing and simulation method |
| CN110610607B (en) * | 2019-07-26 | 2020-12-25 | 浙江工业大学 | Traffic-based SCATS control scheme operation cycle automatic diagnosis method and system |
| CN110782667A (en) * | 2019-10-30 | 2020-02-11 | 北京百度网讯科技有限公司 | Signal lamp time-sharing timing method and device, electronic equipment and storage medium |
| CN110930735B (en) * | 2019-11-06 | 2021-05-28 | 北京百度网讯科技有限公司 | Intelligent traffic control method, device, equipment and storage medium |
| CN114299733B (en) * | 2021-09-14 | 2023-03-14 | 逸兴泰辰技术有限公司 | Crossing traffic light passing time adjusting system |
| CN113920730B (en) * | 2021-10-11 | 2022-12-06 | 北京易华录信息技术股份有限公司 | Signal lamp time distribution method and device, electronic equipment and storage medium |
| CN113947927B (en) * | 2021-12-06 | 2023-01-24 | 文思海辉智科科技有限公司 | Method and device for adjusting timing of traffic signal lamp |
| CN115273499B (en) * | 2022-06-30 | 2023-11-10 | 华东师范大学 | Traffic flow-based signal lamp dynamic timing method and system |
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| CN100444210C (en) * | 2007-04-20 | 2008-12-17 | 东南大学 | Mixed controlling method of single dot signal controlling crossing |
| KR20130015802A (en) * | 2011-08-05 | 2013-02-14 | 이흥수 | Traffic signal controlling device and method using identification information with hierarchy structure |
| CN104240523B (en) * | 2014-09-25 | 2016-04-20 | 上海理工大学 | The green ripple control method in arterial street |
| CN105006154A (en) * | 2015-07-17 | 2015-10-28 | 公安部交通管理科学研究所 | Crossing traffic signal control optimization method in complex weather conditions |
| CN105279982B (en) * | 2015-11-13 | 2017-11-21 | 北京航空航天大学 | A kind of Single Intersection dynamic traffic signal control method based on data-driven |
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