CN103914984A - Urban road traffic state analyzing method based on unit-section collaboration - Google Patents

Abstract

The invention relates to the field of traffic management, in particular to an urban road traffic state analyzing method based on unit-section collaboration. The method comprises the following steps that traffic parameters of all units in a section are collected; the initial traffic efficiency ei of each unit, the section reference traffic index mu B and the section traffic index mu b are calculated; the confidence level theta of the traffic efficiency is calculated, whether theta meets a preset threshold or not is detected, if theta meets the preset threshold, the final traffic efficiency of each unit is determined, or the traffic efficiency of each unit is adjusted in a stepping mode, and the process is carried out repeatedly; the traffic state of each unit road is analyzed and output. The method has the advantages that the relation between the road units and the road section is built through a collaboration model, the states of the units can reflect the whole change trend of the section in time, and a more reasonable and effective traffic state result is obtained; the stepping adjusting model is stable and reliable, the optimization effect is good, and practicability is high.

Description

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

Technical field

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

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 wisdom transport development constantly advancing makes the Pedestrians and vehicles of city manager and the operation of participation actual traffic all benefited a great deal.Briefly, " wisdom " of wisdom traffic be exactly allow traffic control system can automatic sensing city in the traffic of every road 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 circulation situation of not only can real-time follow-up observing whole urban road by the traffic behavior of urban road being carried out to evaluation analysis, decision references is provided to vehicle supervision department of government, can also allow Pedestrians and vehicles understand in time the road situation of periphery, thereby select suitable trip scheme, bring great convenience to daily life.

From the higher European and American developed countries of road traffic demand are started the earliest in the middle of last century for the research of urban road traffic state evaluation analysis technology.This technology is commonly referred to as traffic congestion automatic discrimination technology (Automatic Congestion Identification, 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 more representative California algorithm, McMaster algorithm, exponential smoothing and four kinds of algorithms of standard deviation of mainly containing wherein, 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, thereby identifies effective congestion status.And the each big city of China is generally in developing stage, the most basic traffic flow in a lot of cities detects and still has a lot of problems even, directly applies these algorithms and is difficult to obtain satisfied result.In addition, for current wisdom transport development, judge that merely whether road can not meet the demand of traffic administration in congestion status, also need more careful state to divide and indicate accurately the exponent data of traffic circulation situation.These are all that general ACI method is difficult to realize at present.

Based on the specific demand of the problems referred to above and China's traffic administration, domestic researchist has also proposed some relevant methods of directly analyzing road or regional traffic state.But these methods are single to road condition or the analysis to zone state mostly, ignore the correlative relationship existing between the two; In addition, a lot of methods are analyzed traffic behavior by neural network, filtering, the matrix model of more complicated, although may obtain good result in the theoretical modeling of laboratory, in Practical Project application in practice, be difficult to the effect that reaches desirable, 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 the cooperation of unit-interval 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 the cooperation of unit-interval, described unit is the section, unit of single direction between two adjacent intersections, described interval is the interval, section of several adjacent cells section compositions, and the method comprises the following steps:

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

(2) calculate respectively the initial traffic efficiency e in section, each unit _iand the current index μ of the reference traffic in interval, section _b;

(3) according to the current index μ of 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 section, the each unit 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 section, each unit according to traffic efficiency _i, complete traffic state analysis in this time period and calculate.

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

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

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

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

V _M＝min{V _MS,V _MR}；

V _MR＝(1+ωL)·V _MD；

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

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

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

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

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

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

In formula, for effective total flow in interval, section; N is the number in section, all unit in interval, section; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the maximum traffic capacity of interval, section in a sense cycle; 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 section i detects the occupation rate parameter of obtaining the k time in sense cycle.

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

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

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

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

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

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

$e_i=e_i+\mathrm{\&Delta;};\mathrm{\&Delta;}=\left\{\begin{array}{c}0.01,{\mathrm{\&mu;}}_b<{\mathrm{\&mu;}}_B\\ -0.01,{\mathrm{\&mu;}}_b>{\mathrm{\&mu;}}_B\end{array}\right.;$

Wherein, e _ifor section, the unit traffic efficiency before regulating; e _ifor section, the unit traffic efficiency after regulating; Δ, can be 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 section, unit is resolved the formula of traffic behavior and is:

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

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

Beneficial effect of the present invention is: set up contacting between section, unit and interval, section by a kind of coordination model, make the state in section, unit can reflect in time the overall variation trend in interval, section, can obtain so more rationally effectively traffic behavior result; Simultaneously, computation model of the present invention adopts the higher several traffic parameters of detecting device accuracy of detection, and by the traffic behavior result in step-by-step adjustment pattern optimization section, unit, simple, intuitive and be easy to realize, can realize reliable and stable computing 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 that unit road section information detects 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 the cooperation of unit-interval of the present embodiment, described unit is the section, unit of single direction between two adjacent intersections, has 21, section, unit in figure; Described interval be shown in the intervals, section of 21 adjacent cells sections composition.

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

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

(2) calculate respectively the initial traffic efficiency e in section, each unit _iand the current index μ of the reference traffic in interval, section _b;

A section, unit that comprises m track as shown in Figure 3, the detecting device in a sense cycle on section, unit has produced p detection, detects data at every turn and all comprises flow, speed, three data of occupation rate, d in Fig. 4 ₁₂detect data the 2nd time that just represents track 1; Based on this, initial traffic efficiency computing formula is:

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

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

The current index μ of reference traffic in interval, section _bcomputing formula is:

${\mathrm{\&mu;}}_B=\frac{\stackrel{\&OverBar;}{Q}}{C_B};C_B=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{C}_i;\stackrel{\&OverBar;}{Q}=\max \{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&sigma;}}_i\&CenterDot;C_i,\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{f}_i\};{\mathrm{\&sigma;}}_i=\frac{1}{p}\underset{k=1}{\overset{p}{\mathrm{\&Sigma;}}}{\mathrm{\&sigma;}}_{\mathrm{ik}};$

In formula, for effective total flow in interval, section; N is the number in section, all unit 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 maximum traffic capacity of interval, section in a sense cycle; 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 section i detects the occupation rate parameter of obtaining the k time in sense cycle;

(3) according to the current index of 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 that whether confidence level θ meets predetermined threshold value is θ>=90%, if so, turn to step 6, otherwise, turn to step 5;

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

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

$e_i=e_i+\mathrm{\&Delta;};\mathrm{\&Delta;}=\left\{\begin{array}{c}0.01,{\mathrm{\&mu;}}_b<{\mathrm{\&mu;}}_B\\ -0.01,{\mathrm{\&mu;}}_b>{\mathrm{\&mu;}}_B\end{array}\right.;$

Wherein, e _ifor section, the unit traffic efficiency before regulating; e _ifor section, the unit traffic efficiency after regulating; Δ, can be 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 section, each unit according to traffic efficiency completing traffic state analysis in this time period calculates.

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

Described in above, be specific embodiments of the invention and the know-why used, if the change of doing according to conception of the present invention, when its function producing does not exceed spiritual that instructions and accompanying drawing contain yet, must belong to protection scope of the present invention.

Claims (9)

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

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

(2) calculate respectively the initial traffic efficiency e in section, each unit _iand the current index μ of the reference traffic in interval, section _b;

(3) according to the current index μ of 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 section, the each unit 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 section, each unit 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 the cooperation of unit-interval according to claim 1, it is characterized in that, the transport information parameter gathering comprises unit road section traffic volume property parameters and real-time traffic parameter two classes, wherein, traffic property parameters comprises road section length, design maximum travelling speed, historical maximum travelling speed and the maximum traffic capacity in section, unit; Real-time traffic parameter comprises the occupation rate in section, unit, the magnitude of traffic flow and the travel speed in each track.

3. 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 initial traffic efficiency computing formula in section, each unit is:

$e_i=\frac{p}{V_M\&CenterDot;\underset{k=1}{\overset{p}{\mathrm{\&Sigma;}}}\frac{1}{v_k}};$

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

V _M＝min{V _MS,V _MR}；

V _MR＝(1+ωL)·V _MD；

In formula, e _ibe the traffic efficiency in section, i unit, retain 2 significant digits significant figure; P is the detection number of times of traffic detecting device in the sense cycle time; M is the number of track-lines that section, unit comprises; v _kfor the average overall travel speed that section, unit is detected for the k time, unit is km/h; v _kjdetect the speed parameter obtaining the k time for track, j, section, unit, unit is km/h; V _mfor the best travel speed in section, unit, unit is km/h; V _mRfor effective maximum travelling speed in section, unit, unit is km/h; V _mSfor the historical statistics maximum travelling speed in section, unit, unit is km/h; V _mDfor the design maximum travelling speed in section, unit, unit is km/h; L is the road section length in section, unit, 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, the current index μ of the reference traffic in interval, section in described step (2) _bcomputing formula is:

${\mathrm{\&mu;}}_B=\frac{\stackrel{\&OverBar;}{Q}}{C_B};$

$C_B=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{C}_i;$

$\stackrel{\&OverBar;}{Q}=\max \{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&sigma;}}_i\&CenterDot;C_i,\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{f}_i\};$

${\mathrm{\&sigma;}}_i=\frac{1}{p}\underset{k=1}{\overset{p}{\mathrm{\&Sigma;}}}{\mathrm{\&sigma;}}_{\mathrm{ik}};$

In formula, for effective total flow in interval, section; N is the number in section, all unit in interval, section; C _ifor the maximum traffic capacity of section i in a sense cycle; C _bfor the maximum traffic capacity of interval, section in a sense cycle; 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 section i detects the occupation rate parameter of obtaining the k time in sense cycle.

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

${\mathrm{\&mu;}}_b=\frac{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{e}_i\&CenterDot;C_i}{C_B}.$

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

$\mathrm{\&theta;}=(1-\frac{|{\mathrm{\&mu;}}_B-{\mathrm{\&mu;}}_b|}{{\mathrm{\&mu;}}_B})\&times;100\%;$

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

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

$e_i=e_i+\mathrm{\&Delta;};\mathrm{\&Delta;}=\left\{\begin{array}{c}0.01,{\mathrm{\&mu;}}_b<{\mathrm{\&mu;}}_B\\ -0.01,{\mathrm{\&mu;}}_b>{\mathrm{\&mu;}}_B\end{array}\right.;$

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

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

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

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