CN103578281B - A kind of main line of communication signal lamp optimal control method and device - Google Patents

Abstract

The invention discloses a kind of main line of communication signal lamp optimal control method and device, described method comprises: system subdivision step, the vehicle flowrate of major trunk roads is sailed and sails out of into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, revise vehicle pass-through speed and the vehicle flowrate of major trunk roads between Adjacent Intersections, and the degree of association calculated between Adjacent Intersections, and the crossing on major trunk roads is divided into subsystem according to the degree of association; Subsystem processes step, the cycle of computing subsystem and the split of each crossing, obtain green ripple controling parameters; Green ripple rate-determining steps, utilize the green ripple controling parameters obtained, the subsystem degree of association being more than or equal to setting value I2 carries out green ripple control.All crossings on urban transportation major trunk roads are divided into subsystem according to the degree of association to each other and process by the present invention, to reach the effect that green ripple controls, thus improve the split of traffic intersection, enable most of vehicle pass through green wave band.

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, particularly relate to a kind of main line of communication signal lamp optimal control method and device.

Background technology

Current congestion in road problem has become the outstanding problem that urban transportation faces, and a lot of expert of industry is placed on ITS(intelligent transportation focus), it is desirable to alleviate urban congestion by ITS.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 controls the cooperation control referred in major trunk roads between several continuous intersection traffic signals.Object makes traveling at the vehicle of the crossing of major trunk roads cooperation control, can not meet red light or meet red light and by each crossing in this coordinated control system less.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 " controls.

At present, domestic when carrying out the green ripple of urban transportation major trunk roads and controlling, mostly only control for single intersection, or only several intersections of close together (be mostly and be less than 800 meters) are considered.But in fact, when the intersection on a main line is more, Philodendron ‘ Emerald Queen' is carried out separately to all crossings and may not obtain good effect, and the impact between Adjacent Intersections is also not only determined by distance to each other, also closely related with traffic conditions.So when carrying out green ripple to major trunk roads and 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 multiple crossing cooperation control, need the cycle of each crossing unified.When calculating cycle and the split of each crossing, mostly adopt experimental formula wherein, L is the lost time in one-period, such as vehicle launch lost time etc., and n is the total phase place number in a crossing, and i refers to i-th phase place, y _i, y _i' ... .. is in i-th phase place the 1st, 2 ... flow rate ratio on individual entrance driveway.Such as 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, then 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 are also accurate not, this just makes can not obtain good effect when carrying out the control of green ripple to major urban arterial highway.When calculating cycle and the split of each crossing, the indices affecting control effects should be considered, adopting rational method to calculate cycle and the split of crossing.

Further, when carrying out two-way green wave to major urban arterial highway and controlling, often hypothesis up train flow is equal 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 have an impact to the control effects of major trunk roads.When carrying out two-way green wave to major urban arterial highway and controlling, the unbalancedness of up train flow and down train flow and the constraint condition of two-way green wave control phase difference should be taken into full account.

In sum, there is various disadvantages in main line of communication Signalized control method current as seen, so how to solve the technical matters that these drawbacks become 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, can not effectively to the problem that main signal lamp controls in prior art in order to solve.

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:

The vehicle flowrate of described major trunk roads is sailed and sails out of into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to each crossing on described major trunk roads; Described three grades of roads are be connected with described major trunk roads and do not dispose 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 of <I< setting ₂, I ₂≤ I<1;

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

Be I for degree of association scope ₂the subsystem of≤I<1, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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 the special time preset, based on the road data of the major trunk roads that each subsystem gathers, recalculate the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, system subdivision is re-started to each crossing on described major trunk roads.

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

System subdivision module, for sailing and sail out of the vehicle flowrate of described major trunk roads into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to each crossing on described major trunk roads; Described three grades of roads are be connected with described major trunk roads and do not dispose 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 of <I< setting ₂, I ₂≤ I<1;

Parameter calculating module, for calculating cycle and the split of each crossing in each subsystem, and based on the cycle calculated, utilize the subsystem cycle set strategy preset, set the cycle of each subsystem, and according to the split of crossing each 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, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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 the special time preset, based on the road data of the major trunk roads that each subsystem gathers, trigger described system subdivision module and recalculate the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, system subdivision is re-started to each crossing on described major trunk roads.

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

Method and apparatus provided by the invention, all crossings on urban transportation major trunk roads are divided into subsystem according to the degree of association to each other process, to reach the effect that green ripple controls, thus 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, enable most of vehicle 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, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

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 phase place clearance schematic diagram in crossing four in the embodiment of the present invention;

Fig. 4 is system subdivision schematic diagram in the embodiment of the present invention;

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, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained 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:

Step S101, sail and sail out of the vehicle flowrate of described major trunk roads into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to 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 of <I< setting ₂, I ₂≤ I<1; Wherein, I ₁, I ₂for the degree of association value range preset.

In this step, described three grades of roads are be connected with described major trunk roads and do not dispose the crossing of magnetic test coil.

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

Further, in this step S101, sail and sail out of the vehicle flowrate of described major trunk roads based on three grades of roads each between Adjacent Intersections 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 upper and lower line direction upstream maximum influx nq in crossing 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 three grades of roads all kinds of between Adjacent Intersections, M is the number of types of the three grades of roads divided in advance, and m is the quantity of jth class three grades of roads, δ _jfor the ratio of the three grades of road traffics of jth class in special time and major trunk roads vehicle flowrate, q _{under r}for flowing into the flow of downstream intersection from crossing, upstream r phase place, q _{on r}for flowing into the flow of crossing, upstream from downstream intersection r phase place, q _{little 1 time}..., q _{under little k}for flowing into the flow of downstream intersection from each three grades of roads in upstream, q _{on little 1}..., q _{on little k}for flowing into the flow of crossing, upstream from each three grades of roads in downstream, k is the upstream or downstream three grades of road numbers be connected with major trunk roads between Adjacent Intersections, under symmetrical release manner is taked in crossing, and n=crossing number of phases-1,

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 set, system subdivision is carried out to 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 divided into all 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 descending for Adjacent Intersections on the described major trunk roads degree of association is greater than I ₁be less than I ₂crossing be divided into all separately a subsystem.

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

Step S102, the cycle calculating each crossing in each subsystem and split, and based on the cycle calculated, utilize the subsystem cycle set strategy preset, 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, the calculating cycle of each crossing of 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 solved is: g _{r, min}≤ g _r≤ g _{r, max}, 0.7≤x _r≤ 0.9;

Wherein, T is the cycle of 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 the minimum and maximum cycle preset, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively minimum value and the maximal value of the r phase place green light effective time preset, L is lost time total in one-period, and n+1 is the number of phases of 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 copper sulfate basic; K is the green light space-number in one-period.

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

Be 0<I≤I for degree of association scope ₁subsystem, be the cycle of this subsystem by the cycle set of crossing in the subsystem calculated;

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

Be I for degree of association scope ₁<I<I ₂subsystem, judge this subsystem whether with degree of association scope as I ₂the subsystem of≤I<1 is adjacent, and if so, then 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, it is the cycle of this subsystem by the cycle set of crossing in the subsystem calculated.

Step S103, be I for degree of association scope ₂the subsystem of≤I<1, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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 calculated with revised data is:

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] that in t-1 cycle stop because of red light the vehicle flowrate waited in line in the i-th+1 crossing, Q _i+1(t-2) be the vehicle flowrate waited 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 leave crossing i in the t-1 cycle not stop by the vehicle number of crossing i+1, s is the time headway that vehicle is left away in crossing, 0< α, β <1, alpha+beta=1, α, β is respectively the weight factor of the green wave phase difference 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 that utilizes is I ₂in the subsystem of≤I<1, between adjacent two crossings, the mode in the time interval that green light is opened is:

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

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

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

Step S104, after the special time preset, based on the road data of the major trunk roads that each subsystem gathers, recalculates the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, re-starts system subdivision to each crossing on described major trunk roads.

The method provided below in conjunction with accompanying drawing 2 to 5 pairs of embodiment of the present invention elaborates further, as shown in Figure 2, specifically comprises:

Step 1, data acquisition

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

In the present embodiment, if each crossing is four phase place crossings, as shown in Figure 3, comprising: first phase: thing import is kept straight on and turned right; Second phase: north and south import is turned left; Third phase: north and south import is kept straight on and turned right; 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 the intersection on major trunk roads is more, Philodendron ‘ Emerald Queen' is carried out to all crossings and may not obtain good effect, may due to hypertelorism between Adjacent Intersections, or the impact by conditions such as surrounding roads causes vehicle flowrate difference larger, now need to consider the degree of association between crossing, Region dividing is carried out to backbone, thus more effective enforcement Philodendron ‘ Emerald Queen'.

Relevance refers to and controls the need of the description carrying out cooperation control characteristic between crossing, for judging that urban road is the need of cooperation control to adjacent signals.Relevance research is for raising traffic efficiency, and prevention and alleviation urban traffic blocking have very important significance.As do not considered that other factors is under relevance impact, flow on section is larger, and relevance is larger, this is because along with the continuous increase of traffic level on section, vehicle also increases rapidly with incuring loss through delay at the stop frequency of crossing, and the coordination benefit of now carrying out cooperation control also increases.When ceteris paribus, road section length is less, relevance is larger, because be subject to debunching action to occur in the process that travels on section of fleet that signalized intersections squeezing action formed, 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 flowing into the flow of downstream intersection from crossing, upstream r phase place, for crossing, upstream arrives the volume of traffic summation of downstream intersection, n is that the number of phases of crossing subtracts 1, for cross junction, and n=3, d _{i, i+1}it is the distance between i-th cross junction and the i-th+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 the loss of time (as the loss of time that the crossing between crossing brings) that road actual conditions are brought, and can obtain according to the actual conditions analysis of road.

But consider that three grades of roads are on the wagon flow on main line and average speed impact, this formula also must be revised to adapt to complicated traffic environment, such as on Lianhua Road, although the distance before some crossroad is within 800 meters, but because point fork in the road in section is too many, fairly obvious to the debunching action of fleet, just should not 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 often kind of dissimilar three grades of road have the factor of influence of its correspondence, and the embodiment of the present invention sets 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, and can add up such vehicle flow and major trunk roads vehicle flowrate in special time t, 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 jth class three grades of roads, for in special time t, the vehicle flowrate of major trunk roads between Adjacent Intersections i and i+1.

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

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

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

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

Simultaneously three grades of roads also affect the vehicle flowrate on arterial highway, but under general traffic flow, sail arterial highway into and sail out of the vehicle number approximately equal of arterial highway, so the impact of flow can be considered by three grades of roads.But in special occasions such as peaks on and off duty, traffic flow can embody and pour in arterial highway by three grades of roads or sailed into the situation of three grades of roads by arterial highway in a large number, 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 " generally corresponds to morning peak and evening peak period.During for concrete city, induction and conclusion can be carried out according to this Forecast of Urban Traffic Flow and saturation degree change curve, obtain concrete morning peak and evening peak period.For certain city, morning peak and evening peak period usually appear at morning 7:00 ~ 8:30 and afternoon 16:30 ~ 18:00.

Thus 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 the three grades of road numbers be 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.

For the four phase place Philodendron ‘ Emerald Queen' systems that the embodiment of the present invention is introduced, owing to not arranging separately right-hand rotation phase place, actual flow not necessarily can directly detect (such as, when a track is share in craspedodrome and right-hand rotation), so when can direct-detection time, directly obtain the flow q of each phase place descending _{1 time}, q _{2 times}, q _{3 times}, when cannot direct-detection then, then when going downwards to the i-th+1 right-angled intersection from i-th 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 first phase, second phase and third phase (see figure 3) when going downwards to the i-th+1 right-angled intersection from i-th 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 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}keep straight on for southing mouth and vehicle flowrate proportion of turning right in right-hand rotation phase place vehicle flowrate.Above parameter, q _{1 west}, q _{2 north}, q _{3 south}detect by ground induction coil, δ _{1 west}, δ _{3 south}can be calculated by the data analysis in the past obtained.

If the vehicle flowrate making the p article of three grades of roads be connected with major trunk roads is q _{little p}, p=1 ..., k, then:

Then 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, when being up to i-th right-angled intersection from the i-th+1 right-angled intersection, if actual flow cannot direct-detection, then 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 first phase, second phase and third phase (see figure 3) when being up to i-th right-angled intersection from the i-th+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 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}keep straight on for northing mouth and vehicle flowrate proportion of turning right in right-hand rotation phase place vehicle flowrate.Above parameter, q _{1 east}, q _{2 south}, q _{3 north}detect by ground induction coil, δ _{1 east}, δ _{3 north}can be calculated by the data analysis in the past obtained.

Then 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, setting degree of association scope, utilizes the degree of association scope of setting to carry out system subdivision to crossing each on major trunk roads;

Concrete, after calculating the degree of association data at each crossing on major trunk roads respectively, 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 crossing degree of association being less than or equal to 0.2 divides separately a subsystem into and controls separately; The degree of association is greater than 0.2 crossing being less than 0.5 first to divide separately a subsystem into and control separately, then according to the division of later traffic conditions adaptation system, specifically divides example as shown in Figure 4.

Step 4, computing subsystem cycle and split

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

The objective optimization function solved 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 solved 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 the minimum and maximum cycle preset, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively minimum value and the maximal value of the r phase place green light effective time preset, 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 the defining method of subsystem cycle and split below:

1. the subsystem that the crossing that the degree of association is less than or equal to 0.2 is formed, 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 subsystem that the crossing that the degree of association is more than or equal to 0.5 is formed, owing to comprising multiple intersection, uniform period.Get the cycle of the maximum cycle in these intersections as this subsystem, the split of each intersection gets 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 the subsystem that 0.2 crossing being less than 0.5 is formed, and along with the change 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 to judge whether the subsystem degree of association scope adjacent with such subsystem is 0.5≤I<1, if so, then to set degree of association scope be cycle and a certain degree of association scope of being close to of the subsystem of 0.2<I<0.5 is that cycle of the subsystem of 0.5≤I < 1 is identical; If not, it is the cycle of this subsystem by the cycle set of crossing in the subsystem calculated.The split of each intersection gets 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 controls

Because the subsystem only comprising a right-angled intersection can control separately, the subsystem containing multiple right-angled intersection is only discussed now.

Assuming that this subsystem has M crossing.C _irepresent i-th crossing, assuming 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 () represents, 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 () represents.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, namely 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 () represents, its size forms primarily of 3 part wagon flows, can be formulated as follows:

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

Above-mentioned two formula only considered the directly related situation in two intersections, and the roadnet distribution situation of China is more complicated at present, in the middle of two intersections, often there are the one or more of three grades of roads be 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 just simply changing major trunk roads of these impacts, in conjunction with the concept of factor of influence proposed above, consider that three grades of roads are on the impact of arterial highway, can be expressed as follows vehicle flowrate:

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

Then at t+1 cycle internal cause red light, the vehicle flowrate waited 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.

Then two-way green wave optimization object 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 solved is adjacent right-angled intersection green light and opens the time of being separated by.

Step 6, Detection and adjustment

Each subsystem is through 5 systems week after date, by this system acquisition to data return control center, redefined the dividing condition of subsystem according to traffic before by control center, and allocate the green wave parameter of each subsystem of major trunk roads, thus reach the object of the green ripple control of urban transportation major trunk roads, specifically as shown in Figure 5.

The above-mentioned control method 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

	First phase	Second phase	Third phase	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 performs and turns 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: system subdivision module 610, parameter calculating module 620 and green ripple control module 630, preferably, also comprise Detection and adjustment module 640;

System subdivision module 620, for sailing and sail out of the vehicle flowrate of described major trunk roads into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to each crossing on described major trunk roads; Described three grades of roads are be connected with described major trunk roads and do not dispose 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 of <I< setting ₂, I ₂≤ I<1;

Parameter calculating module 620, for calculating cycle and the split of each crossing in each subsystem, and based on the cycle calculated, utilize the subsystem cycle set strategy preset, set the cycle of each subsystem, and according to the split of crossing each 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, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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 the special time preset, based on the road data of the major trunk roads that each subsystem gathers, triggers system divides module 610 recalculates the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, system subdivision is re-started to each crossing on described major trunk roads.

Realize the optimal control of main line of communication signal lamp to device described in the present embodiment to be below described in detail, specifically comprise:

About system subdivision 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 upper and lower line direction upstream maximum influx nq in crossing 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 three grades of roads all kinds of between Adjacent Intersections, M is the number of types of the three grades of roads divided in advance, and m is the quantity of jth class three grades of roads, δ _jfor the ratio of the three grades of road traffics of jth class in special time and major trunk roads vehicle flowrate, q _{under r}for flowing into the flow of downstream intersection from crossing, upstream r phase place, q _{on r}for flowing into the flow of crossing, upstream from downstream intersection r phase place, q _{little 1 time}.., q _{under little k}for flowing into the flow of downstream intersection from each three grades of roads in upstream, q _{on little 1}..., q _{on little k}for flowing into the flow of crossing, upstream from each three grades of roads in downstream, k is the upstream or downstream three grades of road numbers be connected with major trunk roads between Adjacent Intersections, under symmetrical release manner is taked in crossing, and n=crossing number of phases-1,

System subdivision submodule 612, for being 0<I≤I by Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads ₁crossing be divided into all separately a subsystem; Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is I ₂each crossing of≤I<1 is divided into a subsystem; Be I by up and/or descending for Adjacent Intersections on described major trunk roads degree of association scope 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:

Be 0<I≤I for degree of association scope ₁subsystem, be the cycle of this subsystem by the cycle set of crossing in the subsystem calculated; Be I for degree of association scope ₂the subsystem of≤I<1, by the cycle maximum in each crossing cycle in this subsystem of calculating, is set as the cycle of this subsystem; Be I for degree of association scope ₁<I<I ₂subsystem, judge this subsystem whether proximity association degree scope as I ₂the subsystem of≤I<1, if so, then 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, then it is the cycle of this subsystem by the cycle set of crossing in the subsystem calculated.

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 solved 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 the minimum and maximum cycle preset, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively minimum value and the maximal value of the r phase place green light effective time preset, L is lost time total in one-period, and n+1 is the number of phases of 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:

The phase differential of the two-way green wave utilizing revised data to calculate is:

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 that in t-1 cycle stop because of red light the vehicle flowrate waited in line in the i-th+1 crossing, Q _i+1(t-2) be the vehicle flowrate waited 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 leave crossing i in the t-1 cycle not stop by the vehicle number of crossing i+1, s is the time headway that vehicle is left away in crossing, 0< α, β <1, be respectively the weight factor of the green wave phase difference 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 object 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 object function is: f=min [Q _i(t+1), Q _i+1(t+1)];

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

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

Claims (12)

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

The vehicle flowrate of described major trunk roads is sailed and sails out of into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to each crossing on described major trunk roads; Described three grades of roads are be connected with described major trunk roads and do not dispose 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 of <I< setting ₂, I ₂≤ I<1;

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

Be I for degree of association scope ₂the subsystem of≤I<1, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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 sailing and sail out of described major trunk roads based on three grades of roads each between Adjacent Intersections into, revises 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 _total);

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

By the upper and lower line direction upstream maximum influx nq in crossing 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 three grades of roads all kinds of between Adjacent Intersections, M is the number of types of the three grades of roads divided in advance, and m is the quantity of jth class three grades of roads, δ _jfor the ratio of the three grades of road traffics of jth class in special time and major trunk roads vehicle flowrate, q _{under r}for flowing into the flow of downstream intersection from crossing, upstream r phase place, q _{on r}for flowing into the flow of crossing, upstream from downstream intersection r phase place, q _{little 1 time}..., q _{under little k}for flowing into the flow of downstream intersection from each three grades of roads in upstream, q _{on little 1}..., q _{on little k}for flowing into the flow of crossing, upstream from each three grades of roads in downstream, k is the upstream or downstream three grades of road numbers be connected with major trunk roads between Adjacent Intersections, under symmetrical release manner is taked in crossing, and n=crossing number of phases-1,

3. method as claimed in claim 1 or 2, is characterized in that, described with the degree of association scope of setting, carries out system subdivision, specifically comprise each crossing on described major trunk roads:

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

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

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

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

Be 0<I≤I for degree of association scope ₁subsystem, be the cycle of this subsystem by the cycle set of crossing in the subsystem calculated;

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

Be I for degree of association scope ₁<I<I ₂subsystem, judge this subsystem whether with degree of association scope as I ₂the subsystem of≤I<1 is adjacent, and if so, then 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, it is the cycle of this subsystem by the cycle set of crossing in the subsystem calculated.

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

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

The constraint condition solved 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 the minimum and maximum cycle preset, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively minimum value and the maximal value of the r phase place green light effective time preset, g represents the split of crossing, and L is lost time total in one-period, and n+1 is the number of phases of 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 the special time preset, based on the road data of the major trunk roads that each subsystem gathers, recalculate the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, system subdivision is re-started to each crossing on described major trunk roads.

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

System subdivision module, for sailing and sail out of the vehicle flowrate of described major trunk roads into based on three grades of roads each between the major trunk roads Adjacent Intersections collected in advance, 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 with the degree of association scope of setting, system subdivision is carried out to each crossing on described major trunk roads; Described three grades of roads are be connected with described major trunk roads and do not dispose 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 of <I< setting ₂, I ₂≤ I<1;

Parameter calculating module, for calculating cycle and the split of each crossing in each subsystem, and based on the cycle calculated, utilize the subsystem cycle set strategy preset, set the cycle of each subsystem, and according to the split of crossing each 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, each three grades of roads between Adjacent Intersections are utilized 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 the phase differential of two-way green wave is calculated with revised data, utilize described phase difference calculating degree of association scope to be 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, it is characterized in that, described system subdivision 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 upper and lower line direction upstream maximum influx nq in crossing 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 three grades of roads all kinds of between Adjacent Intersections, M is the number of types of the three grades of roads divided in advance, and m is the quantity of jth class three grades of roads, δ _jfor the ratio of the three grades of road traffics of jth class in special time and major trunk roads vehicle flowrate, q _{under r}for flowing into the flow of downstream intersection from crossing, upstream r phase place, q _{on r}for flowing into the flow of crossing, upstream from downstream intersection r phase place, q _{little 1 time}..., q _{under little k}for flowing into the flow of downstream intersection from each three grades of roads in upstream, q _{on little 1}..., q _{on little k}for flowing into the flow of crossing, upstream from each three grades of roads in downstream, k is the upstream or downstream three grades of road numbers be connected with major trunk roads between Adjacent Intersections, under symmetrical release manner is taked in crossing, and n=crossing number of phases-1,

9. device as claimed in claim 7 or 8, it is characterized in that, described system subdivision module, also comprises:

System subdivision submodule, for being 0<I≤I by Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads ₁crossing be divided into all separately a subsystem; Adjacent Intersections uplink and downlink degree of association scope on described major trunk roads is I ₂each crossing of≤I<1 is divided into a subsystem; Be I by up and/or descending for Adjacent Intersections on described major trunk roads degree of association scope 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 the cycle of this subsystem by the cycle set of crossing in the subsystem calculated; Be I for degree of association scope ₂the subsystem of≤I<1, by the cycle maximum in each crossing cycle in this subsystem of calculating, is set as the cycle of this subsystem; Be I for degree of association scope ₁<I<I ₂subsystem, judge this subsystem whether with degree of association scope as I ₂the subsystem of≤I<1 is adjacent, and if so, then 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, then it is the cycle of this subsystem by the cycle set of crossing in the subsystem calculated.

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

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

The constraint condition solved 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 the minimum and maximum cycle preset, q _rbe the vehicle flowrate of r phase place, g _{r, min}, g _{r, max}be respectively minimum value and the maximal value of the r phase place green light effective time preset, g represents the split of crossing, and L is lost time total in one-period, and n+1 is the number of phases of 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, it is characterized in that, described device also comprises:

Detection and adjustment module, for after the special time preset, based on the road data of the major trunk roads that each subsystem gathers, triggers system divides module recalculates the degree of association between each Adjacent Intersections, and with the degree of association scope of setting, system subdivision is re-started to each crossing on described major trunk roads.