CN103578281A - Optimal control method and device for traffic artery signal lamps - Google Patents

Abstract

The invention discloses an optimal control method and device for traffic artery signal lamps. The method includes the step of subsystem dividing, the step of subsystem processing and the step of green wave control. According to the step of subsystem dividing, on the basis of flows, collected in advance, of vehicles driving in and driving away an arterial road from all three-level roads between adjacent intersections of the arterial road, vehicle passage speed and the flows of the vehicles of the adjacent intersections of the arterial road are corrected, association degrees between the adjacent intersections are calculated, and the intersections of the arterial road are divided into subsystems according to the association degrees; according to the step of subsystem processing, periods of the subsystems and split green ratios of all the intersections are calculated to obtain green wave control parameters; according to the step of the green wave control, the green wave control is performed on the subsystems with the association degrees larger than or equal to a set value I2 by using the obtained green wave control parameters. According to the mutual association degrees, all the intersections of the arterial road of urban traffic are divided into the subsystems to be processed to achieve the green wave control effect, so that the split green ratios of the traffic intersections are improved, and most vehicles can pass through green wave bands.

Description

A kind of main line of communication signal lamp optimal control method and device

Technical field

The present invention relates to urban traffic road control field, relate in particular to a kind of main line of communication signal lamp optimal control method and device.

Background technology

Congestion in road problem has become the outstanding problem that urban transportation faces at present, and a lot of experts of industry are placed on ITS(intelligent transportation focus), wish that by ITS, alleviating city blocks up.Green wave coordination system is that ITS improves traffic efficiency, alleviates the important means of blocking up.

Green wave coordination system is one of ITS core system.The green ripple of urban intersection signal is controlled and is referred to that in major trunk roads, the coordination between several continuous crossing traffic signals is controlled.Object is to make to travel at major trunk roads, to coordinate the vehicle of the crossing controlled, can not meet red light or meet less red light and by each crossing in this coordinated control system.From the light color of each crossing of controlled turnpike road, green light forms green ripple just as wave to moving ahead, and this coordinating control of traffic signals mode is that " green wave band " controlled.

At present, domestic when carrying out the green ripple control of urban transportation major trunk roads, mostly only for single intersection, control, or only several intersections of close together (be mostly and be less than 800 meters) are considered.But in fact, when intersection on a main line is more, green wave coordination is carried out separately in all crossings and control and may not obtain good effect, and impact between Adjacent Intersections is also not only determined by distance to each other, also closely related with traffic conditions.So major trunk roads being carried out to green ripple while controlling, answer the degree of association between each crossing of reasonable computation, and according to the degree of association, the crossing on major trunk roads be divided into subsystem and carry out green ripple control.

In addition, when carrying out the coordination control of a plurality of crossings, need to unify the cycle of each crossing.When calculating cycle of each crossing and split, mostly adopt experimental formula

wherein, L is the lost time in one-period, and such as vehicle launch lost time etc., n is a phase place number that crossing is total, and i refers to i phase place, y _i, y _i' ... .. is in i phase place the 1st, 2 ... flow rate ratio on individual entrance driveway.For example the 1st phase place is north and south craspedodrome phase place, and saturation volume is 1800, and southing oral sex through-current capacity is 450, and northing oral sex through-current capacity is 540, y ₁for 450/1800=0.25, y ₁' be 540/1800=0.3, so max[y ₁, y ₁']=0.3.And this computing method accurate not, this just makes major urban arterial highway is being carried out to when green ripple is controlled obtaining good effect.In the cycle of calculating each crossing, during with split, should consider the indices that effect is controlled in impact, adopt cycle and the split of rational method calculating crossing.

And, when major urban arterial highway being carried out to two-way green wave control, often suppose that up train flow equates with the flow of down train flow.And in real life, up train flow is not identical often with the flow of down train flow, even there is very large difference, at this moment will exert an influence to the control effect of major trunk roads.When major urban arterial highway being carried out to two-way green wave control, should take into full account unbalancedness and the poor constraint condition of two-way green wave control phase of up train flow and down train flow.

In sum, there is various disadvantages in visible current main line of communication signal lamp control method, so how to solve these drawbacks, becomes technical matters urgently to be resolved hurrily at present.

Summary of the invention

The invention provides a kind of main line of communication signal lamp optimal control method and device, in order to solve the problem that can not effectively control main signal lamp in prior art.

In order to solve the problems of the technologies described above, the technical solution used in the present invention is as follows:

On the one hand, the invention provides a kind of main line of communication signal lamp optimal control method, comprising:

Between the major trunk roads Adjacent Intersections based on collecting in advance, each three grades of roads sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil, and described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1;

Calculate cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of each crossing in subsystem cycle and subsystem, determine the green time of each crossing;

For degree of association scope, be I ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

Further, the method of the invention also comprises: after default special time, the road data of the major trunk roads that gather based on each subsystem, recalculate the degree of association between each Adjacent Intersections, and the degree of association scope to set, each crossing on described major trunk roads is re-started to subsystem and divide.

On the other hand, the present invention also provides a kind of main line of communication signal lamp optimized control device, comprising:

Subsystem is divided module, for each three grades of roads between the major trunk roads Adjacent Intersections based on collecting in advance, sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil, and described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1;

Parameter calculating module, for calculating cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of each crossing in subsystem cycle and subsystem, determine the green time of each crossing;

Green ripple control module, for being I for degree of association scope ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

Further, device of the present invention also comprises:

Detection and adjustment module, for after default special time, the road data of the major trunk roads that gather based on each subsystem, trigger described subsystem division module and recalculate the degree of association between each Adjacent Intersections, and the degree of association scope to set, each crossing on described major trunk roads is re-started to subsystem and divide.

Compared with prior art, invention beneficial effect is as follows:

Method and apparatus provided by the invention, all crossings basis on urban transportation major trunk roads degree of association is to each other divided into subsystem to be processed, the effect of controlling to reach green ripple, thereby improve the split of traffic intersection, reduce the vehicle average latency of intersection and wait for Vehicle length, coordinate the green wave band on road, make most of vehicle can pass through green wave band.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

The process flow diagram of a kind of main line of communication signal lamp optimal control method that Fig. 1 provides for the embodiment of the present invention;

The another process flow diagram of a kind of main line of communication signal lamp optimal control method that Fig. 2 provides for the embodiment of the present invention;

Fig. 3 is crossing four phase place clearance schematic diagram in the embodiment of the present invention;

Fig. 4 is embodiment of the present invention neutron system divides schematic diagram;

Fig. 5 is method control model schematic diagram described in the embodiment of the present invention;

The structured flowchart of a kind of main line of communication signal lamp optimized control device that Fig. 6 provides for the embodiment of the present invention.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

Embodiment of the method

The embodiment of the present invention provides a kind of main line of communication signal lamp optimal control method, as shown in Figure 1, comprising:

Between step S101, the major trunk roads Adjacent Intersections based on collecting in advance, each three grades of roads sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed parameter and the vehicle flowrate parameter of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1; Wherein, I ₁, I ₂for predefined degree of association value range.

In this step, described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil.

Concrete, the embodiment of the present invention proposes the concept of three grades of roads, to consider between two adjacent signal lamp crossroads, T-shaped road junction or the crossroad that can exist several and main line to intersect, these roads are because number of track-lines is few, average vehicle flow is less etc., generally not deployment signal lamp and magnetic test coil, in the signal lamp of off-peak period regulates, a small amount of vehicle flowrate error is less to the error effect of signal lamp parameter configuration, but in peak period, the instantaneous vehicle flowrate of these roads can increase suddenly, and the increase of vehicle flowrate is generally unidirectional, therefore can produce larger impact to the vehicle flowrate of main line.Therefore the degree of accuracy of controlling in order to increase green ripple, should consider the impact that the flow of these roads produces two peak periods in 24 hours.

Further, in this step S101, based on each three grades of roads between Adjacent Intersections, sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed parameter and the vehicle flowrate parameter of major trunk roads between described Adjacent Intersections, specifically comprise:

The vehicle pass-through speed v of major trunk roads between Adjacent Intersections is modified to v/ (1+ δ _total);

By the upper and lower driving flow correction of major trunk roads between Adjacent Intersections, be:

with

By the maximum influx nq in crossing, upper and lower line direction upstream between Adjacent Intersections _maxbe modified to: (n+bk) q _{lower max}(n+bk) q _{upper max}; Wherein, q _{lower max}=max[q _{1 time}... q _{under n}, bq _{little 1 time}..., bq _{under little k}]; q _{upper max}=max[q _{on 1}... q _{on n}, bq _{on little 1}.., bq _{on little k}];

Wherein, v is the average velocity of vehicle pass-through between Adjacent Intersections,

for total factor of influence of all kinds of three grades of roads between Adjacent Intersections, M is the number of types of three grades of roads dividing in advance, and m is the quantity of three grades of roads of j class, δ _jfor the ratio of three grades of road traffics of j class in special time and major trunk roads vehicle flowrate, q _{under r}for flow into the flow of downstream intersection, q from crossing, upstream r phase place _{on r}for flow into the flow of crossing, upstream, q from downstream intersection r phase place _{little 1 time}..., q _{under little k}for flow into the flow of downstream intersection, q from each three grades of roads of upstream _{on little 1}..., q _{on little k}for flow into the flow of crossing, upstream from each three grades of roads of downstream, k is the three grades of road numbers of upstream or downstream that are connected with major trunk roads between Adjacent Intersections, in crossing, take under symmetrical release manner, and number of phases-1, n=crossing,

Further, in this step S101, utilize revised data, calculate the degree of association I between Adjacent Intersections, comprise descending degree of association I _underwith up degree of association I _on, wherein:

D _{i, i+1}for the distance between Adjacent Intersections i and i+1, l is the average queue length at Adjacent Intersections middle and lower reaches crossing, and △ t is the loss of time that road actual conditions are brought.

Further, in this step S101, with the degree of association scope of setting, subsystem division is carried out in each crossing on described major trunk roads, specifically comprises:

The Adjacent Intersections uplink and downlink degree of association on described major trunk roads is all less than or equal to default low degree of association threshold value I ₁crossing be all divided into separately a subsystem;

The Adjacent Intersections uplink and downlink degree of association on described major trunk roads is all more than or equal to default high degree of association threshold value I ₂each crossing be divided into a subsystem;

Up and/or the descending degree of association of Adjacent Intersections on described major trunk roads is greater than to I ₁be less than I ₂crossing be all divided into separately a subsystem.

Preferably, in the degree of association scope of described setting, I ₁equal 0.2, I ₂equal 0.5.

Step S102, calculate cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of crossing in subsystem cycle and subsystem, determine the green time of each crossing;

Preferably, in this step S102, calculate the cycle of each crossing of major trunk roads and the mode of split for solving objective optimization function:

$\min [f(T,g)=k_1\frac{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{d}_r{q}_r}{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{q}_r}+k_2\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{H}_r]$

The constraint condition solving is:

g _{r, min}≤ g _r≤ g _{r, max}, 0.7≤x _r≤ 0.9;

Wherein, the cycle that T is crossing, g _rfor the split of crossing r phase place, d _rbe the delay time at stop of r phase place, H _rbe the average stop frequency of r phase place vehicle, x _rbe r phase place saturation degree, T _min, T _maxbe respectively predefined minimum and maximum cycle, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively predefined r phase place green light minimum value and the maximal value of effective time, L is lost time total in one-period, the number of phases that n+1 is crossing, 0<k ₁, k ₂<1, k ₁+ k ₂=1, k ₁, k ₂be respectively the weight of the mean delay time of crossing and the average stop frequency of crossing.

Wherein,

l _sfor start-up lost time, as without measured data, get 3s; A is amber light duration, can be decided to be 3s; I' is green light interval time; K is the green light space-number in one-period.

Further, in this step S102, the cycle based on calculating, utilize and preset subsystem cycle setting strategy, set the cycle of each subsystem, specifically comprise:

For degree of association scope, be 0<I≤I ₁subsystem, be set as to cycle of this subsystem the cycle of crossing in the subsystem calculating;

For degree of association scope, be I ₂the subsystem of≤I<1, by the cycle of the maximum in the cycle of each crossing in this subsystem calculating, is set as the cycle of this subsystem;

For degree of association scope, be I ₁<I<I ₂subsystem, judge that whether this subsystem is I with degree of association scope ₂the subsystem of≤I<1 is adjacent, and if so, setting degree of association scope is I ₁<I<I ₂cycle of subsystem be I with contiguous a certain degree of association scope ₂the cycle of the subsystem of≤I<1 is identical; If not, be set as to the cycle of this subsystem the cycle of crossing in the subsystem calculating.

Step S103, for degree of association scope, be I ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed parameter and the vehicle flowrate parameter of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

Further, in this step S103, the phase differential of the two-way green wave that the revised data of take calculate as:

Up green wave phase is poor: ${\mathrm{\&theta;}}_{i,i+1}\left(t\right)=\mathrm{\&alpha;}[\frac{d_{i,i+1}}{v/(1+{\mathrm{\&delta;}}_{\mathrm{total}})}-Q_{i+1}(t-1)s];$

Descending green wave phase is poor: ${\mathrm{\&theta;}}_{i+1,i}\left(t\right)=\mathrm{\&beta;}[\frac{d_{i,i+1}}{v/(1+{\mathrm{\&delta;}}_{\mathrm{total}})}-Q_i(t-1)s];$

Wherein, Q _i+1(t-1)=max[0, Q _i+1(t-2)+Q _{i, i+1}(t-2)-P _{i, i+1}(t-1)] be the vehicle flowrate that in t-1 cycle, i+1 waits in line because red light stops crossing, Q _i+1(t-2) be the vehicle flowrate of waiting in line in the t-2 cycle, Q _{i, i+1}(t-2) represent that the t-2 cycle leaves the vehicle flowrate that crossing i arrives crossing i+1, P _{i, i+1}(t-1) be that t-1 leaves crossing i and do not stop by the vehicle number of crossing i+1 in the cycle, s is the time headway that vehicle is left away in crossing, 0< α, β <1, alpha+beta=1, α, β is respectively the poor weight factor of the green wave phase of up-downgoing, d _{i, i+1}for the distance between Adjacent Intersections.

Further, in this step S103, the described phase difference calculating degree of association scope of utilizing is I ₂the mode in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened is:

Solve two-way green wave optimization aim function: f=min[Q _i(t+1), Q _i+1(t+1)];

The constraint condition solving is: θ _{i, i+1}(t)+θ _{i+1, i}(t)=T; Wherein, the cycle that T is subsystem.

Preferably, described in the present embodiment, method also comprises:

Step S104, after default special time, the road data of the major trunk roads that gather based on each subsystem, recalculates the degree of association between each Adjacent Intersections, and the degree of association scope to set, and each crossing on described major trunk roads is re-started to subsystem and divide.

Below in conjunction with 2 to 5 pairs of methods that the embodiment of the present invention provides of accompanying drawing, further elaborate, as shown in Figure 2, specifically comprise:

Step 1, data acquisition

Obtain the related data data of urban transportation major trunk roads, the crossing number, the distance between each crossing, the data such as vehicle flowrate data in the past and the three grades of road datas that are connected with major trunk roads that comprise as major trunk roads.

In the present embodiment, establishing each crossing is four phase place crossings, as shown in Figure 3, comprising: the first phase place: thing import is kept straight on and turned right; The second phase place: north and south import is turned left; Third phase position: north and south import is kept straight on and turned right; The 4th phase place: thing import is turned left.

The data that step 2, utilization gather, calculate the degree of association between Adjacent Intersections;

Concrete, when intersection on major trunk roads is more, green wave coordination control is carried out in all crossings and may not obtain good effect, may be due to hypertelorism between Adjacent Intersections, or the impact that is subject to the conditions such as surrounding road causes vehicle flowrate to differ larger etc., now need the degree of association between considering intersection, backbone is carried out to region division, thereby more effective enforcement green wave coordination is controlled.

Relevance refers to controls to adjacent signals the description that whether needs to coordinate control characteristic between crossing, for judging whether urban road needs to coordinate to control.Relevance research is for improving traffic efficiency, and prevention and alleviation urban traffic blocking have very important significance.As under not considering that other factors is on relevance impact, flow on section is larger, and relevance is larger, and this is because of the continuous increase along with traffic level on section, vehicle also increases rapidly in stop frequency and the delay of crossing, and the coordination benefit of now coordinating to control also increases.The in the situation that of ceteris paribus, road section length is less, relevance is larger, because can there is debunching action in the process of travelling in the fleet that is subject to the formation of signalized intersections squeezing action on section, and debunching action becomes large along with the increase of fleet's operating range.

The calculating concrete model of a kind of existing section degree of association is as follows:

$I=\frac{0.5}{1+t}[\frac{{\mathrm{nq}}_{\max }}{\underset{r=1}{\overset{n}{\mathrm{\&Sigma;}}}{q}_r}-1]$

In formula, I is the degree of association between the line of crossing, and t is the journey time of vehicle between two crossings, q _maxfor crossing, upstream max-flow inbound traffics, q _rfor flow into the flow of downstream intersection from crossing, upstream r phase place,

for the volume of traffic summation of crossing, upstream arrival downstream intersection, the number of phases that n is crossing subtracts 1, for cross junction, and n=3,

d _{i, i+1}it is the distance between i cross junction and i+1 cross junction, l is the average queue length of downstream road junction, v is the average velocity of vehicle pass-through between two crossings, △ t is road actual conditions losses of time of bringing (loss of time bringing as the crossing between crossing), can obtain according to the actual conditions analysis of road.

Yet consider that three grades of roads are on the wagon flow on main line and average speed impact, this formula also must revise to adapt to complicated traffic environment, for example, on Lianhua Road, although the distance before some crossroad is within 800 meters, but because minute fork in the road in section is too many, debunching action to fleet is fairly obvious, just should be divided in same subregion.How many according to the wagon flow of each fork on the road, its impact on arterial road is different, and therefore every kind of three grades of dissimilar roads have its corresponding factor of influence, and the embodiment of the present invention is set up factor of influence corresponding relation as shown in Table 1 to typical fork on the road:

Table one

Three grades of road types	Factor of influence
		Residential quarter	δ hourse
Factory	δ fac
		Shopping centre	δ center
Other	δ other

Wherein, 0< δ _hourse, δ _fac, δ _center, δ _other<1.

How many factors of influence is determined by this intersection vehicle flux, can in special time t, add up such vehicle flow and major trunk roads vehicle flowrate, and computing formula is:

wherein, j is the type of three grades of roads,

for in special time t, between Adjacent Intersections i and i+1, the vehicle flowrate of three grades of roads of j class,

for in special time t, the vehicle flowrate of major trunk roads between Adjacent Intersections i and i+1.

In order effectively to reflect road traffic variation relation, the value of t should not be too large, but disturb in order to guarantee that data can be resisted in short-term, and t again can not be too little.Balance both sides relation, 600s≤t≤1200s is proper.If this four classes road has respectively m on this section ₁, m ₂, m ₃, m ₄bar, wherein m ₁+ m ₂+ m ₃+ m ₄=k, k is the sum of these three grades of roads in section, thereby obtains total factor of influence and be:

δ _total=m ₁δ _hourse+m ₂δ _fac+m ₃δ _center+m ₄δ _other

Due to the existence of three grades of roads, the speed that slowed down, so the actual average speed of a motor vehicle should be approximately:

$\stackrel{\&OverBar;}{v}=\frac{v}{1+{\mathrm{\&delta;}}_{\mathrm{total}}}$

Three grades of roads also affect the vehicle flowrate on arterial highway simultaneously, but under general traffic flow, the vehicle number approximately equal of being sailed into arterial highway and being sailed out of arterial highway by three grades of roads, so the impact of flow can be considered.But in special occasions such as peaks on and off duty, traffic flow meeting embodies the situation that is poured in arterial highway or sailed in a large number into three grades of roads by arterial highway by three grades of roads, at this time just factor of influence must be taken into account.Therefore as follows for the flow formula correction on unidirectional green wave band:

$Q_{\mathrm{total}}=(1+a{\mathrm{\&delta;}}_{\mathrm{total}})\underset{r=1}{\overset{n}{\mathrm{\&Sigma;}}}{q}_r$

In formula, a is a parameter, under general traffic flow, and a=0; When vehicle pours in arterial highway by three grades of roads, a=1; When vehicle sails three grades of roads in a large number by arterial highway, a=-1.Wherein, described " pouring in " and " pouring out " conventionally corresponding morning peak and evening peak period.During for concrete city, can conclude summary according to this Forecast of Urban Traffic Flow and saturation degree change curve, obtain concrete morning peak and evening peak period.Take certain city as example, morning peak and evening peak period conventionally appear at morning 7:00 ~ 8:30 and afternoon 16:30 ~ 18:00.

Thereby degree of association formula is rewritten as follows:

$I=\frac{0.5}{1+\frac{(d_{i,i+1}-l)(1+{\mathrm{\&delta;}}_{\mathrm{total}})}{v}+\mathrm{\&Delta;t}}[\frac{(n+\mathrm{bk})q_{\max }}{(1+a{\mathrm{\&delta;}}_{\mathrm{total}})\underset{r=1}{\overset{n}{\mathrm{\&Sigma;}}}{q}_r}-1]$

In formula, k is three grades of road numbers that are connected with major trunk roads between adjacent intersection, and b is a parameter, when vehicle pours in arterial highway by three grades of roads, and b=1; Under general traffic flow and when vehicle sails three grades of roads in a large number by arterial highway, b=0.

The four phase place green wave coordination control system of introducing for the embodiment of the present invention, due to right-hand rotation phase place not being set separately, actual flow not necessarily can (for example arrive by direct-detection, when a track is share in craspedodrome and right-hand rotation), so when can direct-detection, directly obtain the flow q of descending each phase place _{1 time}, q _{2 times}, q _{3 times}, when cannot direct-detection then, while going downwards to i+1 right-angled intersection from i right-angled intersection, each actual flow account form is as follows:

Q _{1 time}=q _{1 cc}* (1-δ ₁)

Q _{2 times}=q _{2 north}

Q _{3 times}=q _{3 Nan3Nan}* δ

In formula, q _{1 time}, q _{2 times}, q _{3 times}be respectively the actual downstream flow of the first phase place, the second phase place and third phase position (see figure 3) while going downwards to i+1 right-angled intersection from i right-angled intersection, q _{1 west}for the western import craspedodrome of upstream cross junction and right-hand rotation phase place vehicle flowrate, δ _{1 west}for the vehicle flowrate proportion of turning right in western import craspedodrome and right-hand rotation phase place vehicle flowrate, q _{2 north}for upstream cross junction northing mouth left turn phase vehicle flowrate, q _{3 south}for cross junction southing mouth in upstream is kept straight on and right-hand rotation phase place vehicle flowrate, δ _{3 south}for the vehicle flowrate proportion of turning right in the craspedodrome of southing mouth and right-hand rotation phase place vehicle flowrate.Above parameter, q _{1 west}, q _{2 north}, q _{3 south}can detect by ground induction coil δ _{1 west}, δ _{3 south}can be calculated by the data analysis in the past of having obtained.

If the vehicle flowrate of three grades of roads of p bar that order is connected with major trunk roads is q _{little p}, p=1 ..., k:

The computing method of the descending section degree of association are as follows:

1) if all actual flows can direct-detection:

2) if actual right-hand rotation flow cannot direct-detection:

In like manner, while being up to i right-angled intersection from i+1 right-angled intersection, if actual flow cannot direct-detection, each actual flow account form is as follows:

Q _{on 1}=q _{1 Dong Dong}* (1-δ ₁)

Q _{south on 2}=q ₂

Q _{3 Bei3Bei on 3}=q * δ

In formula, q _{on 1}, q _{on 2}, q _{on 3}be respectively the actual uplink flow of the first phase place, the second phase place and third phase position (see figure 3) while being up to i right-angled intersection from i+1 right-angled intersection, q _{1 east}for the east import craspedodrome of downstream cross junction and right-hand rotation phase place vehicle flowrate, δ _{1 east}for the vehicle flowrate proportion of turning right in eastern import craspedodrome and right-hand rotation phase place vehicle flowrate, q _{2 south}for downstream cross junction southing mouth left turn phase vehicle flowrate, q _{3 north}for downstream cross junction northing mouth is kept straight on and right-hand rotation phase place vehicle flowrate, δ _{3 north}for the vehicle flowrate proportion of turning right in the craspedodrome of northing mouth and right-hand rotation phase place vehicle flowrate.Above parameter, q _{1 east}, q _{2 south}, q _{3 north}can detect by ground induction coil δ _{1 east}, δ _{3 north}can be calculated by the data analysis in the past of having obtained.

The computing method of the up section degree of association are as follows:

1) if all actual flows can direct-detection:

2) if actual right-hand rotation flow cannot direct-detection:

Step 3, sets degree of association scope, utilizes the degree of association scope of setting to carry out subsystem division to each crossing on major trunk roads;

Concrete, calculate respectively after the degree of association data at each crossing on major trunk roads, the degree of association is more than or equal to 0.5(uplink and downlink) crossing be divided into a subsystem and carry out signal coordinated control; The degree of association is less than or equal to 0.2 crossing to be divided separately a subsystem into and controls separately; The degree of association is greater than to 0.2 and is less than 0.5 crossing and first divides separately a subsystem into and control separately, then according to the division of later traffic conditions adaptation system, specifically divide example as shown in Figure 4.

Step 4, computing subsystem cycle and split

First separately consider right-angled intersections all on major trunk roads, the indexs such as comprehensive delay time at stop, stop frequency, the traffic capacity and saturation degree, calculate rational cycle of each cross junction and split.

The objective optimization function solving is:

$\min [f(T,g)=k_1\frac{\underset{r=1}{\overset{4}{\mathrm{\&Sigma;}}}{d}_r{q}_r}{\underset{r=1}{\overset{4}{\mathrm{\&Sigma;}}}{q}_r}+k_2\underset{r=1}{\overset{4}{\mathrm{\&Sigma;}}}{H}_r]$

The constraint condition solving is:

$T_{\min }\&le;T=\underset{r=1}{\overset{4}{\mathrm{\&Sigma;}}}{g}_r+L\&le;T_{\max }$

g _r,min≤g _r≤g _r，max

0.7≤x _r≤0.9

Wherein, d _rbe the delay time at stop of r phase place, H _rbe the average stop frequency of r phase place vehicle, x _rbe r phase place saturation degree, T _min, T _maxbe respectively predefined minimum and maximum cycle, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively predefined r phase place green light minimum value and the maximal value of effective time, L is lost time total in one-period, 0<k ₁, k ₂<1, k ₁+ k ₂=1, k ₁, k ₂be respectively the weight of the mean delay time of crossing and the average stop frequency of crossing.

Provide definite method of subsystem cycle and split below:

1. the degree of association is less than or equal to the subsystem that 0.2 crossing forms, and owing to only comprising an intersection, the cycle that min f (T, g) can be obtained and the optimum results of split are for controlling this subsystem;

2. the degree of association is more than or equal to the subsystem that 0.5 crossing forms, and owing to comprising a plurality of intersections, unify the cycle.Get maximum cycle in these intersections as the cycle of this subsystem, the split of each intersection is got the optimum results of min f (T, g), and the green time of each phase place compensates in proportion;

3. the degree of association is greater than 0.2 and is less than the subsystem that 0.5 crossing forms, and along with the variation of traffic conditions, the degree of association may change, and this intersection may form a new subsystem with other intersections.So, for such subsystem, need whether the judgement subsystem degree of association scope adjacent with such subsystem is 0.5≤I<1, if so, setting degree of association scope is that the cycle of subsystem of 0.2<I<0.5 is identical with the cycle of the subsystem that a certain degree of association scope of vicinity is 0.5≤I < 1; If not, be set as to the cycle of this subsystem the cycle of crossing in the subsystem calculating.The split of each intersection is got the optimum results of min f (T, g), and the green time of each phase place compensates in proportion.

Step 5, subsystem two-way green wave is controlled

Owing to only comprising the subsystem of a right-angled intersection, can control separately, the subsystem that contains a plurality of right-angled intersections is only discussed now.

Suppose that this subsystem has M crossing.C _irepresent i crossing, suppose that coordinating phase place is thing craspedodrome phase place, from C _ito C _i+1be defined as descending, the phase differential θ in its t signal period _{i, i+1}(t) represent, in like manner, from C _i+1to C _ibe defined as up, the phase differential θ in its t signal period _{i+1, i}(t) represent.In fact, in major trunk roads craspedodrome wagon flow phase place, the phase differential between Adjacent Intersections i and i+1 within t signal period meets phase differential closure condition, has following relationship to set up:

θ _i，i+1(t)+θ _i+1，i(t)＝T

Leave C _idescending arrival C _i+1vehicle flowrate Q _{i, i+1}(t) represent, its size is mainly comprised of 3 part wagon flows, can be formulated as follows:

Leave C _i+1up arrival C _ivehicle flowrate Q _{i+1, i}(t) represent, its size is mainly comprised of 3 part wagon flows, can be formulated as follows:

Above-mentioned two formula have only been considered two situations that intersection is directly related, and the roadnet distribution situation of China is more complicated at present, in the middle of two intersections, often exist one or more of three grades of roads that are directly connected with urban transportation major trunk roads, and these three grades of roads there is no that traffic lights effectively regulate and control it.But these three grades of roads can affect to the traffic conditions of major trunk roads really, and the not single vehicle flowrate of major trunk roads that just simply changed of these impacts, concept in conjunction with the factor of influence that proposed above, consider the impact of three grades of roads on arterial highway, vehicle flowrate can be expressed as follows:

Q _{i, i+1}(t)=(1+a δ _total) [q _{1 time}+ q _{2 times}+ q _{3 times}]

Q _{i+1, i}(t)=(1+a δ _total) [q _{on 1}+ q _{on 2}+ q _{on 3}]

If P _{i, i+1}(t) represent that t, in the cycle, leaves C _ido not stop by crossing C _i+1vehicle number; P _{i+1, i}(t) represent that t, in the cycle, leaves C _i+1do not stop by crossing C _ivehicle number.

At t+1 cycle internal cause red light and the vehicle flowrate of waiting in line that stops can be expressed as:

Q _i(t+1)=max[0,Q _i(t)+Q _i+1，i(t)-P _i+1，i(t+1)]

Q _i+1(t+1)=max[0,Q _i+1(t)+Q _i，i+1(t)-P _i，i+1(t+1)]

During two-way green wave, phase differential has following computing formula:

Descending green ripple: ${\mathrm{\&theta;}}_{i,i+1}\left(t\right)=\mathrm{\&alpha;}[\frac{d_{i,i+1}}{v}(1+{\mathrm{\&delta;}}_{\mathrm{total}})-Q_{i+1}(t-1)s]$

Up green ripple: ${\mathrm{\&theta;}}_{i+1,i}\left(t\right)=\mathrm{\&beta;}[\frac{d_{i,i+1}}{v}(1+{\mathrm{\&delta;}}_{\mathrm{total}})-Q_i(t-1)s]$

In formula, s represents the time headway that vehicle is left away in crossing.

Two-way green wave optimization aim function is:

f=min[Q _i(t+1),Q _i+1(t+1)]

Constraint condition is:

θ _i，i+1(t)+θ _i+1,i(t)=T

The phase differential solving is adjacent right-angled intersection green light and opens the time of being separated by.

Step 6, Detection and adjustment

Each subsystem is after 5 system cycles, by this system acquisition to data return to control center, by control center, according to previous traffic, redefined the dividing condition of subsystem, and the green wave parameter of allocating each subsystem of major trunk roads, thereby reach the object that the green ripple of urban transportation major trunk roads is controlled, specifically as shown in Figure 5.

The above-mentioned control method of utilizing the embodiment of the present invention to provide, crossing release manner be four phase place release manners as shown in Table 2:

Table two

	The first phase place	The second phase place	Third phase position	The 4th phase place
					Thing import is kept straight on and is turned right	Green light	Red light	Red light	Red light
North and south import is turned left	Red light	Green light	Red light	Red light
					North and south import is carried out and is turned right	Red light	Red light	Green light	Red light
Thing import is turned left	Red light	Red light	Red light	Green light

Device embodiment

As shown in Figure 6, the embodiment of the present invention provides a kind of main line of communication signal lamp optimized control device, comprising: subsystem is divided module 610, parameter calculating module 620 and green ripple control module 630, preferably, also comprises Detection and adjustment module 640;

Subsystem is divided module 620, for each three grades of roads between the major trunk roads Adjacent Intersections based on collecting in advance, sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil, and described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1;

Parameter calculating module 620, for calculating cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of each crossing in subsystem cycle and subsystem, determine the green time of each crossing;

Green ripple control module 630, for being I for degree of association scope ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

Detection and adjustment module 640, for after default special time, the road data of the major trunk roads that gather based on each subsystem, trigger subsystem division module 610 and recalculate the degree of association between each Adjacent Intersections, and the degree of association scope to set, each crossing on described major trunk roads is re-started to subsystem and divide.

Device described in the present embodiment is realized to the optimal control of main line of communication signal lamp below and is described in detail, specifically comprise:

About subsystem, divide module 610, specifically comprise:

Revise submodule 611, for the vehicle pass-through speed v of major trunk roads between Adjacent Intersections is modified to v/ (1+ δ _total); By the upper and lower driving flow correction of major trunk roads between Adjacent Intersections, be:

with

by the maximum influx nq in crossing, upper and lower line direction upstream between Adjacent Intersections _maxbe modified to: (n+bk) q _{lower max}(n+bk) q _{upper max}; Wherein, q _{lower max}=max[q _{1 time}... q _{under n}, bq _{little 1 time}..., bq _{under little k}]; q _{upper max}=max[q _{on 1}... q _{on n}, bq _{on little 1}..., bq _{on little k}];

V is the average velocity of vehicle pass-through between Adjacent Intersections,

for total factor of influence of all kinds of three grades of roads between Adjacent Intersections, M is the number of types of three grades of roads dividing in advance, and m is the quantity of three grades of roads of j class, δ _jfor the ratio of three grades of road traffics of j class in special time and major trunk roads vehicle flowrate, q _{under r}for flow into the flow of downstream intersection, q from crossing, upstream r phase place _{on r}for flow into the flow of crossing, upstream, q from downstream intersection r phase place _{little 1 time}.., q _{under little k}for flow into the flow of downstream intersection, q from each three grades of roads of upstream _{on little 1}..., q _{on little k}for flow into the flow of crossing, upstream from each three grades of roads of downstream, k is the three grades of road numbers of upstream or downstream that are connected with major trunk roads between Adjacent Intersections, in crossing, take under symmetrical release manner, and number of phases-1, n=crossing,

Subsystem is divided submodule 612, for Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to 0<I≤I ₁crossing be all divided into separately a subsystem; Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to I ₂each crossing of≤I<1 is divided into a subsystem; By the up and/or descending degree of association scope of Adjacent Intersections on described major trunk roads, be I ₁<I<I ₂crossing be divided into a subsystem.

Preferably, in the degree of association scope of setting, I ₁equal 0.2, I ₂equal 0.5.

About parameter calculating module 620:

For degree of association scope, be 0<I≤I ₁subsystem, be set as to cycle of this subsystem the cycle of crossing in the subsystem calculating; For degree of association scope, be I ₂the subsystem of≤I<1, by the cycle of the maximum in the cycle of each crossing in this subsystem calculating, is set as the cycle of this subsystem; For degree of association scope, be I ₁<I<I ₂subsystem, judge that the whether adjacent degree of association scope of this subsystem is I ₂the subsystem of≤I<1, if so, setting degree of association scope is I ₁<I<I ₂cycle of subsystem be I with contiguous a certain degree of association scope ₂the cycle of the subsystem of≤I<1 is identical; If not, be set as to the cycle of this subsystem the cycle of crossing in the subsystem calculating.

Further, parameter calculating module 620, by solving objective optimization function, calculates cycle and the split of each crossing of major trunk roads;

Described objective optimization function is: $\min [f(T,g)=k_1\frac{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{d}_r{q}_r}{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{q}_r}+k_2\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{H}_r]$

The constraint condition solving is:

g _{r, min}≤ g _r≤ g _{r, max}, 0.7≤x _r≤ 0.9;

Wherein, d _rbe the delay time at stop of r phase place, H _rbe the average stop frequency of r phase place vehicle, x _rbe r phase place saturation degree, T _min, T _maxbe respectively predefined minimum and maximum cycle, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively predefined r phase place green light minimum value and the maximal value of effective time, L is lost time total in one-period, the number of phases that n+1 is crossing, 0<k ₁, k ₂<1, k ₁+ k ₂=1, k ₁, k ₂be respectively the weight of the mean delay time of crossing and the average stop frequency of crossing.

About green ripple control module 630:

Utilize the phase differential of the two-way green wave that revised data calculate to be:

Up green wave phase is poor: ${\mathrm{\&theta;}}_{i,i+1}\left(t\right)=\mathrm{\&alpha;}[\frac{d_{i,i+1}}{v/(1+{\mathrm{\&delta;}}_{\mathrm{total}})}-Q_{i+1}(t-1)s];$

Descending green wave phase is poor: ${\mathrm{\&theta;}}_{i+1,i}\left(t\right)=\mathrm{\&beta;}[\frac{d_{i,i+1}}{v/(1+{\mathrm{\&delta;}}_{\mathrm{total}})}-Q_i(t-1)s];$

Wherein, be the vehicle flowrate that in t-1 cycle, i+1 waits in line because red light stops crossing, Q _i+1(t-2) be the vehicle flowrate of waiting in line in the t-2 cycle, Q _{i, i+1}(t-2) represent that the t-2 cycle leaves the vehicle flowrate that crossing i arrives crossing i+1, P _{i, i+1}(t-1) be that t-1 leaves crossing i and do not stop by the vehicle number of crossing i+1 in the cycle, s is the time headway that vehicle is left away in crossing, 0< α, and β <1, is respectively the poor weight factor of the green wave phase of up-downgoing, d _{i, i+1}for the distance between Adjacent Intersections.

Further, green ripple control module 630, by solving the mode of two-way green wave optimization aim function, compute associations degree scope is I ₂the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened:

Described two-way green wave optimization aim function is: f=min[Q _i(t+1), Q _i+1(t+1)];

The constraint condition solving is: θ _{i, i+1}(t)+θ _{i+1, i}(t)=T; Wherein, the cycle that T is subsystem.

Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.

Claims (12)

1. a main line of communication signal lamp optimal control method, is characterized in that, comprising:

Between the major trunk roads Adjacent Intersections based on collecting in advance, each three grades of roads sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil, and described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1;

Calculate cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of each crossing in subsystem cycle and subsystem, determine the green time of each crossing;

For degree of association scope, be I ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

2. the method for claim 1, is characterized in that, the described vehicle flowrate that sails and sail out of described major trunk roads based on each three grades of roads between Adjacent Intersections into is revised vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, specifically comprises:

The vehicle pass-through speed v of major trunk roads between Adjacent Intersections is modified to v/ (1+ δ t _otal);

By the upper and lower driving flow correction of major trunk roads between Adjacent Intersections, be:

with

By the maximum influx nq in crossing, upper and lower line direction upstream between Adjacent Intersections _maxbe modified to: (n+bk) q _{lower max}(n+bk) q _{upper max}; Wherein, q _{lower max}=max[q _{1 time}... q _{under n}, bq _{little 1 time}..., bq _{under little k}]; q _{upper max}=max[q _{on 1}... q _{on n}, bq _{on little 1}..., bq _{on little k}];

V is the average velocity of vehicle pass-through between Adjacent Intersections,

for total factor of influence of all kinds of three grades of roads between Adjacent Intersections, M is the number of types of three grades of roads dividing in advance, and m is the quantity of three grades of roads of j class, δ _jfor the ratio of three grades of road traffics of j class in special time and major trunk roads vehicle flowrate, q _{under r}for flow into the flow of downstream intersection, q from crossing, upstream r phase place _{on r}for flow into the flow of crossing, upstream, q from downstream intersection r phase place _{little 1 time}..., q _{under little k}for flow into the flow of downstream intersection, q from each three grades of roads of upstream _{on little 1}..., q _{on little k}for flow into the flow of crossing, upstream from each three grades of roads of downstream, k is the three grades of road numbers of upstream or downstream that are connected with major trunk roads between Adjacent Intersections, in crossing, take under symmetrical release manner, and number of phases-1, n=crossing,

3. method as claimed in claim 1 or 2, is characterized in that, the described degree of association scope to set, carries out subsystem division to each crossing on described major trunk roads, specifically comprises:

Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to 0<I≤I ₁crossing be all divided into separately a subsystem;

Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to I ₂each crossing of≤I<1 is divided into a subsystem;

By the up and/or descending degree of association scope of Adjacent Intersections on described major trunk roads, be I ₁<I<I ₂crossing be all divided into separately a subsystem.

4. method as claimed in claim 3, is characterized in that, the described cycle based on calculating, and utilize and preset subsystem cycle setting strategy, set the cycle of each subsystem, specifically comprise:

For degree of association scope, be 0<I≤I ₁subsystem, be set as to cycle of this subsystem the cycle of crossing in the subsystem calculating;

For degree of association scope, be I ₂the subsystem of≤I<1, by the cycle of the maximum in the cycle of each crossing in this subsystem calculating, is set as the cycle of this subsystem;

For degree of association scope, be I ₁<I<I ₂subsystem, judge that whether this subsystem is I with degree of association scope ₂the subsystem of≤I<1 is adjacent, and if so, setting degree of association scope is I ₁<I<I ₂cycle of subsystem and adjacent a certain degree of association scope be I ₂the cycle of the subsystem of≤I<1 is identical; If not, be set as to the cycle of this subsystem the cycle of crossing in the subsystem calculating.

5. the method as described in claim 1 or 4, is characterized in that, the cycle of each crossing of described calculating major trunk roads and the mode of split are for solving objective optimization function:

$\min [f(T,g)=k_1\frac{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{d}_r{q}_r}{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{q}_r}+k_2\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{H}_r]$

The constraint condition solving is:

g _{r, min}≤ g _r≤ g _{r, max}, 0.7≤x _r≤ 0.9;

Wherein, d _rbe the delay time at stop of r phase place, H _rbe the average stop frequency of r phase place vehicle, x _rbe r phase place saturation degree, T _min, T _maxbe respectively predefined minimum and maximum cycle, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively predefined r phase place green light minimum value and the maximal value of effective time, L is lost time total in one-period, the number of phases that n+1 is crossing, 0<k ₁, k ₂<1, k ₁+ k ₂=1, k ₁, k ₂be respectively the weight of the mean delay time of crossing and the average stop frequency of crossing.

6. the method for claim 1, it is characterized in that, described method also comprises: after default special time, the road data of the major trunk roads that gather based on each subsystem, recalculate the degree of association between each Adjacent Intersections, and the degree of association scope to set, each crossing on described major trunk roads is re-started to subsystem and divide.

7. a main line of communication signal lamp optimized control device, is characterized in that, comprising:

Subsystem is divided module, for each three grades of roads between the major trunk roads Adjacent Intersections based on collecting in advance, sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, utilize revised data, calculate the degree of association I between Adjacent Intersections, and the degree of association scope to set, subsystem division is carried out in each crossing on described major trunk roads; Described three grades of roads are for being connected with described major trunk roads and not disposing the crossing of magnetic test coil, and described degree of association scope comprises: the low degree of association threshold value I of 0<I≤setting ₁, I ₁the high degree of association threshold value I that <I< sets ₂, I ₂≤ I<1;

Parameter calculating module, for calculating cycle and the split of each crossing in each subsystem, and the cycle based on calculating, utilize the predefined subsystem cycle to set strategy, set the cycle of each subsystem, and according to the split of each crossing in subsystem cycle and subsystem, determine the green time of each crossing;

Green ripple control module, for being I for degree of association scope ₂the subsystem of≤I<1, utilize between Adjacent Intersections each three grades of roads to sail and sail out of the vehicle flowrate of described major trunk roads into, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between described Adjacent Intersections, and with revised data, calculate the phase differential of two-way green wave, utilizing described phase difference calculating degree of association scope is I ₂in the time interval that in the subsystem of≤I<1, between adjacent two crossings, green light is opened, carry out two-way green wave control.

8. device as claimed in claim 7, is characterized in that, described subsystem is divided module, comprising:

Revise submodule, for the vehicle pass-through speed v of major trunk roads between Adjacent Intersections is modified to v/ (1+ δ _total); By the upper and lower driving flow correction of major trunk roads between Adjacent Intersections, be:

with by the maximum influx nq in crossing, upper and lower line direction upstream between Adjacent Intersections _maxbe modified to: (n+bk) q _{lower max}(n+bk) q _{upper max}; Wherein, q _{lower max}=max[q _{1 time}... q _{under n}, bq _{little 1 time}..., bq _{under little k}]; q _{upper max}=max[q _{on 1}... q _{on n}, bq _{on little 1}..., bq _{on little k}];

V is the average velocity of vehicle pass-through between Adjacent Intersections, for total factor of influence of all kinds of three grades of roads between Adjacent Intersections, M is the number of types of three grades of roads dividing in advance, and m is the quantity of three grades of roads of j class, δ _jfor the ratio of three grades of road traffics of j class in special time and major trunk roads vehicle flowrate, q _{under r}for flow into the flow of downstream intersection, q from crossing, upstream r phase place _{on r}for flow into the flow of crossing, upstream, q from downstream intersection r phase place _{little 1 time}..., q _{under little k}for flow into the flow of downstream intersection, q from each three grades of roads of upstream _{on little 1}..., q _{on little k}for flow into the flow of crossing, upstream from each three grades of roads of downstream, k is the three grades of road numbers of upstream or downstream that are connected with major trunk roads between Adjacent Intersections, in crossing, take under symmetrical release manner, and number of phases-1, n=crossing,

9. install as claimed in claim 7 or 8, it is characterized in that, described subsystem is divided module, also comprises:

Subsystem is divided submodule, for Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to 0<I≤I ₁crossing be all divided into separately a subsystem; Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is to I ₂each crossing of≤I<1 is divided into a subsystem; By the up and/or descending degree of association scope of Adjacent Intersections on described major trunk roads, be I ₁<I<I ₂crossing be divided into a subsystem.

10. device as claimed in claim 9, is characterized in that, described parameter calculating module, specifically for being 0<I≤I for degree of association scope ₁subsystem, be set as to cycle of this subsystem the cycle of crossing in the subsystem calculating; For degree of association scope, be I ₂the subsystem of≤I<1, by the cycle of the maximum in the cycle of each crossing in this subsystem calculating, is set as the cycle of this subsystem; For degree of association scope, be I ₁<I<I ₂subsystem, judge that whether this subsystem is I with degree of association scope ₂the subsystem of≤I<1 is adjacent, and if so, setting degree of association scope is I ₁<I<I ₂cycle of subsystem be I with contiguous a certain degree of association scope ₂the cycle of the subsystem of≤I<1 is identical; If not, be set as to the cycle of this subsystem the cycle of crossing in the subsystem calculating.

11. devices as described in claim 7 or 10, is characterized in that, described parameter calculating module, specifically by solving objective optimization function, is calculated cycle and the split of each crossing of major trunk roads;

Described objective optimization function is: $\min [f(T,g)=k_1\frac{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{d}_r{q}_r}{\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{q}_r}+k_2\underset{r=1}{\overset{n+1}{\mathrm{\&Sigma;}}}{H}_r]$

The constraint condition solving is:

g _{r, min}≤ g _r≤ g _{r, max}, 0.7≤x _r≤ 0.9;

Wherein, d _rbe the delay time at stop of r phase place, H _rbe the average stop frequency of r phase place vehicle, x _rbe r phase place saturation degree, T _min, T _maxbe respectively predefined minimum and maximum cycle, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively predefined r phase place green light minimum value and the maximal value of effective time, L is lost time total in one-period, the number of phases that n+1 is crossing, 0<k ₁, k ₂<1, k ₁+ k ₂=1, k ₁, k ₂be respectively the weight of the mean delay time of crossing and the average stop frequency of crossing.

12. devices as claimed in claim 7, is characterized in that, described device also comprises:

Detection and adjustment module, for after default special time, the road data of the major trunk roads that gather based on each subsystem, trigger subsystem division module and recalculate the degree of association between each Adjacent Intersections, and the degree of association scope to set, each crossing on described major trunk roads is re-started to subsystem and divide.

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