CN103914984B - A kind of urban road traffic state analytical approach based on unit-interval cooperation - Google Patents

Abstract

The present invention relates to field of traffic control, particularly relate to a kind of urban road traffic state analytical approach based on unit-interval cooperation, comprise the following steps: the traffic parameter of all unit in acquisition zone; Calculate the initial traffic efficiency e of each unit _i, interval with reference to current index μ _b, interval current index μ _b; Calculate traffic efficiency confidence level θ, check whether θ meets predetermined threshold value, if met, confirm the final traffic efficiency of unit, otherwise, the traffic efficiency of each unit of step-by-step adjustment, and repeat said process; Resolve the traffic behavior exporting each unit section.Advantage of the present invention is: set up contacting between section unit and interval, section by a kind of coordination model, makes the state of unit can reflect interval overall variation trend in time, obtains more rationally effective traffic behavior result; Step-by-step adjustment model stability is reliable, and effect of optimization is good, practical.

Description

A kind of urban road traffic state analytical approach based on unit-interval cooperation

Technical field

The present invention relates to field of traffic control, particularly relate to a kind of urban road traffic state analytical approach based on unit-interval cooperation.

Background technology

Since new century, in order to respond urban construction modernization, informationalized needs, the city management of China progressively develops to intelligent management, particularly in urban traffic control field, the Pedestrians and vehicles that the wisdom transport development constantly advanced allows city manager and participation actual traffic run is all benefited a great deal.Briefly, " wisdom " of wisdom traffic be exactly allow traffic control system can in automatic sensing city every bar road traffic change and be presented on intuitively in face of all participants.In order to realize this target, need to greatly develop relevant wisdom traffic management technology, and the traffic behavior evaluation analysis technology of urban road is exactly a wherein important ring.The traffic noise prediction of whole urban road can not only be observed by real-time follow-up by carrying out evaluation analysis to the traffic behavior of urban road, decision references is provided to vehicle supervision department of government, Pedestrians and vehicles can also be allowed to understand the road situation of periphery in time, thus select suitable trip scheme, bring great convenience to daily life.

Research for urban road traffic state evaluation analysis technology be the earliest in the middle of last century from the European and American developed countries higher to road traffic demand.This technology is commonly referred to as traffic congestion automatic discrimination technology (AutomaticCongestionIdentification, ACI), identify mainly for the jam situation that may occur in urban road (comprising urban road, through street, highway), so can carry out rapidly dredge work recover road surface unimpeded.This is wherein more representative mainly contains California algorithm, McMaster algorithm, exponential smoothing and standard deviation four kinds of algorithms, and other research methods are the improvement based on these four kinds of methods mostly.Due to developed countries road traffic system comparative maturity, coherent detection facility is also fairly perfect, can obtain the more accurate traffic data of sufficient amount, thus identify effective congestion status.And each big city of China is generally in developing stage, still there is a lot of problem in the most basic Traffic flow detecting in a lot of cities even, and directly these algorithms of application are difficult to obtain satisfied result.In addition, for current wisdom transport development, judge whether road is in the demand that congestion status can not meet traffic administration merely, also need more careful state demarcation and indicate the exponent data of traffic noise prediction accurately.These are all that ACI method general is at present difficult to realize.

Based on the specific demand of the problems referred to above and China's traffic administration, domestic researchist it is also proposed some relevant methods directly analyzing road or regional traffic state.But these methods are mostly just single to road condition or the analysis to zone state, have ignored the correlative relationship existed between the two; In addition, a lot of method is analyzed traffic behavior by the neural network of more complicated, filtering, matrix model, although may obtain good result in the theoretical modeling of laboratory, be difficult to reach desirable effect in Practical Project practical application, practicality is not high.

Summary of the invention

The present invention overcomes above-mentioned weak point, a kind of urban road traffic state analytical approach based on unit-interval cooperation that object is to provide reliable and stable, practicality is high, extensibility is strong.

The present invention achieves the above object by the following technical programs: a kind of urban road traffic state analytical approach based on unit-interval cooperation, described unit is the unit section of single direction between two adjacent intersections, described interval is that the section of several adjacent cells sections composition is interval, and the method comprises the following steps:

(1) the transport information parameter of all unit sections in sense cycle in acquisition zone, described transport information parameter comprises unit section each lane traffic flow, each track, unit section car speed, unit section occupation rate;

(2) the initial traffic efficiency e in each unit section is calculated respectively _iand the reference traffic in interval, section is passed through index μ _b;

(3) to pass through index μ according to the traffic efficiency computation interval in unit section _b;

(4) according to μ _bwith μ _bcalculate the confidence level of the interval traffic efficiency in section, check whether confidence level θ meets predetermined threshold value, if so, turns to step (6), otherwise, turn to step (5);

(5) the traffic efficiency e in each unit section of step-by-step adjustment _i, turn to step (3);

(6) confirm the final traffic efficiency in unit section, and resolve the traffic behavior S in each unit section according to traffic efficiency _i, complete traffic state analysis in this time period and calculate.

As preferably, the transport information parameter gathered comprises unit road section traffic volume property parameters and real-time traffic parameter two class, wherein, traffic attribute parameter comprises road section length, design maximum travelling speed, history maximum travelling speed and the maximum traffic capacity in unit section; Real-time traffic parameter comprises the occupation rate in unit section, the magnitude of traffic flow in each track and travel speed.

As preferably, in described step (2), the initial traffic efficiency computing formula in each unit section is:

$e_i=\frac{p}{V_M\·\underset{k=1}{\overset{p}{\Σ}}\frac{1}{v_k}};$

$v_k=\frac{1}{m}\underset{j=1}{\overset{m}{\Σ}}{v}_{kj};$

V _M＝min{V _MS,V _MR}；

V _MR＝(1+ωL)·V _MD；

In formula, e _ibe the traffic efficiency in i-th unit section, retain 2 significant digits significant figure; P is the detection number of times of traffic detector in the sense cycle time; M is the number of track-lines that unit section comprises; v _kfor the average overall travel speed that unit section kth time detects, unit is km/h; v _kjfor jGe track, unit section kth time detects the speed parameter obtained, unit is km/h; V _mfor the best travel speed in unit section, unit is km/h; V _mRfor effective maximum travelling speed in unit section, unit is km/h; V _mSfor the historical statistics maximum travelling speed in unit section, unit is km/h; V _mDfor the design maximum travelling speed in unit section, unit is km/h; L is the road section length in unit section, and unit is km; ω=0.0833 is effective velocity correction factor.

As preferably, in described step (2), the reference traffic in interval, section is passed through index μ _bcomputing formula is:

${\mathrm{\μ}}_B=\frac{\stackrel{\‾}{Q}}{C_B};$

$C_B=\underset{i=1}{\overset{N}{\Σ}}{C}_i;$

$\stackrel{\‾}{Q}=max\{\underset{i=1}{\overset{N}{\Σ}}{\mathrm{\σ}}_i\·C_i,\underset{i=1}{\overset{N}{\Σ}}{f}_i\};$

${\mathrm{\σ}}_i=\frac{1}{p}\underset{k=1}{\overset{p}{\Σ}}{\mathrm{\σ}}_{ik};$

In formula, for effective total flow in interval, section; N is the number in all unit sections in interval, section; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the interval maximum traffic capacity in a sense cycle in section; f _ifor the detection total flow of section i in sense cycle; σ _ifor the average occupancy of section i in sense cycle; σ _ikfor i kth time in sense cycle in section detects the occupation rate parameter obtained.

As preferably, interval current index μ in described step (3) _bcomputing formula be:

${\mathrm{\μ}}_b=\frac{\underset{i=1}{\overset{N}{\Σ}}{e}_i\·C_i}{C_B}.$

As preferably, in described step (4), between test zone, the formula of the confidence level θ of traffic efficiency is:

$\mathrm{\θ}=(1-\frac{\left|{\mathrm{\μ}}_B-{\mathrm{\μ}}_b\right|}{{\mathrm{\μ}}_B})\×100\%;$

If meet θ >=90%, then show that traffic efficiency meets the requirements; Otherwise, need the traffic efficiency readjusting unit section.

As preferably, in described step (5), the step-by-step adjustment formula of each unit section traffic efficiency is:

Wherein, e _ifor the unit section traffic efficiency before adjustment; for the unit section traffic efficiency after adjustment; Δ, can according to μ for regulating step-length _bwith μ _bmagnitude relationship get corresponding value.

As preferably, in described step (6), the final traffic efficiency in unit section is resolved the formula of traffic behavior and is:

In formula, S _irepresent the traffic behavior of unit section i in the current detection cycle.

As preferably, the described transport information parameter detecting time take 6min as one-period.

Beneficial effect of the present invention is: set up contacting between unit section and interval, section by a kind of coordination model, make the state in unit section can reflect the overall variation trend in interval, section in time, more rationally effective traffic behavior result can be obtained like this; Simultaneously, computation model of the present invention adopts several traffic parameters that detecting device accuracy of detection is higher, and pass through the traffic behavior result in step-by-step adjustment model-based optimization unit section, simple, intuitive and be easy to realize, reliable and stable computing can be realized with lower computation complexity, extensibility is high, practical.

Accompanying drawing explanation

Fig. 1 is a unit-interval area schematic of the embodiment of the present invention;

Fig. 2 is flowage structure schematic diagram of the present invention;

Fig. 3 is unit road section information detection schematic diagram described in the embodiment of the present invention;

Fig. 4 is the theory diagram of the embodiment of the present invention.

Embodiment

Below in conjunction with specific embodiment, the present invention is described further, but protection scope of the present invention is not limited in this:

Embodiment 1: as shown in Figure 1, a kind of urban road traffic state analytical approach based on unit-interval cooperation of the present embodiment, described unit is the unit section of single direction between two adjacent intersections, has 21, unit section in figure; Described interval is that the section of shown 21 adjacent cells sections composition is interval.

The present embodiment FB(flow block) as shown in Figure 2, comprises the following steps:

(1) the transport information parameter of all unit sections within the time period that sense cycle is 6min in acquisition zone, described transport information parameter comprises unit road section traffic volume property parameters and real-time traffic parameter two class.Traffic attribute parameter comprises road section length, design maximum travelling speed, history maximum travelling speed and the maximum traffic capacity in unit section, and wherein, road section length, design maximum travelling speed can obtain according to vehicle supervision department's public data; History maximum travelling speed, the maximum traffic capacity can according in database continuous more than 2 months historical traffic data statistics draw.Real-time traffic parameter refers to detecting device traffic data at unit section Real-time Collection in a sense cycle, comprises the occupation rate in unit section, the magnitude of traffic flow in each track, unit section and travel speed value;

(2) the initial traffic efficiency e in each unit section is calculated respectively _iand the reference traffic in interval, section is passed through index μ _b;

As shown in Figure 3 one the unit section comprising m track, the detecting device in a sense cycle on unit section creates p detection, and each data that detect all comprise flow, speed, occupation rate three data, d in Fig. 4 ₁₂just represent and detect data the 2nd time of track 1; Based on this, initial traffic efficiency computing formula is:

$e_i=\frac{p}{V_M\·\underset{k=1}{\overset{p}{\Σ}}\frac{1}{v_k}};v_k=\frac{1}{m}\underset{j=1}{\overset{m}{\Σ}}{v}_{kj};$ V _M＝min{V _MS,V _MR}；V _MR＝(1+ωL)·V _D；

In formula, e _ibe the traffic efficiency in i-th unit section, retain 2 significant digits significant figure; P is the detection number of times of traffic detector in the sense cycle time; M is the number of track-lines that unit section comprises; v _kfor the average overall travel speed that unit section kth time detects, unit is km/h; v _kjfor jGe track, unit section kth time detects the speed parameter obtained, unit is km/h; V _mfor the best travel speed in unit section, unit is km/h; V _mRfor effective maximum travelling speed in unit section, unit is km/h; V _mSfor the historical statistics maximum travelling speed in unit section, unit is km/h; V _mDfor the design maximum travelling speed in unit section, unit is km/h; L is the road section length in unit section, and unit is km; ω=0.0833 is effective velocity correction factor;

The reference traffic in interval, section is passed through index μ _bcomputing formula is:

${\mathrm{\μ}}_B=\frac{\stackrel{\‾}{Q}}{C_B};C_B=\underset{i=1}{\overset{N}{\Σ}}{C}_i;\stackrel{\‾}{Q}=max\{\underset{i=1}{\overset{N}{\Σ}}{\mathrm{\σ}}_i\·C_i,\underset{i=1}{\overset{N}{\Σ}}{f}_i\};{\mathrm{\σ}}_i=\frac{1}{p}\underset{k=1}{\overset{p}{\Σ}}{\mathrm{\σ}}_{ik};$

In formula, for effective total flow in interval, section; N is the number in all unit sections in interval, section, in the interval, section shown in Fig. 1, has N=21; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the interval maximum traffic capacity in a sense cycle in section; f _ifor the detection total flow of section i in sense cycle; σ _ifor the average occupancy of section i in sense cycle; σ _ikfor i kth time in sense cycle in section detects the occupation rate parameter obtained;

(3) to pass through index according to the traffic efficiency computation interval in unit section

(4) according to μ _bwith μ _bcalculate the confidence level θ of the interval traffic efficiency in section, check whether confidence level θ meets predetermined threshold value and θ>=90%, if so, turns to step 6, otherwise, turn to step 5;

(5) the traffic efficiency e in each unit section of step-by-step adjustment _i, turn to step 3;

The step-by-step adjustment formula of each unit section traffic efficiency is:

Wherein, e _ifor the unit section traffic efficiency before adjustment; for the unit section traffic efficiency after adjustment; Δ, can according to μ for regulating step-length _bwith μ _bmagnitude relationship get corresponding value;

(6) confirm the final traffic efficiency in unit section, and resolve the traffic behavior in each unit section according to traffic efficiency complete traffic state analysis in this time period to calculate.

The present embodiment theory diagram as shown in Figure 4, section real-time traffic is detected data and send into database respectively as historical traffic configuration data, central computer as the transport information parameter gathered, central computer calculates the initial traffic efficiency e in each unit section respectively subsequently _i, interval, section reference traffic to pass through index μ _b, interval current index μ _b, confidence level θ, central computer compares confidence level and predetermined threshold value, if do not meet predetermined threshold value, carries out step-by-step adjustment, meets predetermined threshold value and then export traffic behavior.In fact, method of the present invention can be applied in the urban traffic area of arbitrary shape, and the different situation of the traffic parameter for detecting device collection also can realize traffic state analysis by adjustment traffic parameter model; In addition, the traffic efficiency proposed in the present invention, interval current exponential model can also be applied to traffic index and evaluate field for vehicle supervision department's reference.

The know-why being specific embodiments of the invention and using described in above, if the change done according to conception of the present invention, its function produced do not exceed that instructions and accompanying drawing contain yet spiritual time, must protection scope of the present invention be belonged to.

Claims (9)

1. the urban road traffic state analytical approach based on unit-interval cooperation, described unit is the unit section of single direction between two adjacent intersections, described interval is that the section of several adjacent cells sections composition is interval, and it is characterized in that, the method comprises the following steps:

(1) the transport information parameter of all unit sections in sense cycle in acquisition zone, described transport information parameter comprises unit section each lane traffic flow, each track, unit section car speed, unit section occupation rate;

(2) the initial traffic efficiency e in each unit section is calculated respectively _iand the reference traffic in interval, section is passed through index μ _b;

(3) to pass through index μ according to the traffic efficiency computation interval in unit section _b;

(4) according to μ _bwith μ _bcalculate the confidence level of the interval traffic efficiency in section, check whether confidence level θ meets predetermined threshold value, if so, turns to step (6), otherwise, turn to step (5);

(5) the traffic efficiency e in each unit section of step-by-step adjustment _i, turn to step (3);

(6) confirm the final traffic efficiency in unit section, and resolve the traffic behavior S in each unit section according to traffic efficiency _i, complete traffic state analysis in this time period and calculate.

2. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1, it is characterized in that, the transport information parameter gathered comprises unit road section traffic volume property parameters and real-time traffic parameter two class, wherein, traffic attribute parameter comprises road section length, design maximum travelling speed, history maximum travelling speed and the maximum traffic capacity in unit section; Real-time traffic parameter comprises the occupation rate in unit section, the magnitude of traffic flow in each track and travel speed.

3. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1 and 2, it is characterized in that, in described step (2), the initial traffic efficiency computing formula in each unit section is:

V _M＝min{V _MS,V _MR}；

V _MR＝(1+ωL)·V _MD；

In formula, e _ibe the traffic efficiency in i-th unit section, retain 2 significant digits significant figure; P is the detection number of times of traffic detector in the sense cycle time; M is the number of track-lines that unit section comprises; v _kfor the average overall travel speed that unit section kth time detects, unit is km/h; v _kjfor jGe track, unit section kth time detects the speed parameter obtained, unit is km/h; V _mfor the best travel speed in unit section, unit is km/h; V _mRfor effective maximum travelling speed in unit section, unit is km/h; V _mSfor the historical statistics maximum travelling speed in unit section, unit is km/h; V _mDfor the design maximum travelling speed in unit section, unit is km/h; L is the road section length in unit section, and unit is km; ω=0.0833 is effective velocity correction factor.

4. a kind of urban road traffic state analytical approach based on the cooperation of unit-interval according to claim 1 and 2, is characterized in that, in described step (2), the reference traffic in interval, section is passed through index μ _bcomputing formula is:

In formula, for effective total flow in interval, section; N is the number in all unit sections in interval, section; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the interval maximum traffic capacity in a sense cycle in section; f _ifor the detection total flow of section i in sense cycle; σ _ifor the average occupancy of section i in sense cycle; σ _ikfor i kth time in sense cycle in section detects the occupation rate parameter obtained; P is the detection number of times of traffic detector in the sense cycle time.

5. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1, is characterized in that, interval current index μ in described step (3) _bcomputing formula be:

In formula, e _iit is the traffic efficiency in i-th unit section; N is the number in all unit sections in interval, section; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the interval maximum traffic capacity in a sense cycle in section.

6. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1, it is characterized in that, in described step (4), between test zone, the formula of the confidence level θ of traffic efficiency is:

If meet θ >=90%, then show that traffic efficiency meets the requirements; Otherwise, need the traffic efficiency readjusting unit section.

7. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1 or 6, it is characterized in that, in described step (5), the step-by-step adjustment formula of each unit section traffic efficiency is:

Wherein, e _ifor the unit section traffic efficiency before adjustment; for the unit section traffic efficiency after adjustment; Δ is adjustment step-length, according to μ _bwith μ _bmagnitude relationship get corresponding value.

8. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1, is characterized in that, in described step (6), the formula of the final traffic efficiency parsing traffic behavior in unit section is:

In formula, S _irepresent the traffic behavior of unit section i in the current detection cycle.

9. a kind of urban road traffic state analytical approach based on unit-interval cooperation according to claim 1, it is characterized in that, transport information parameter detecting take 6min as one-period.