CN102087789A - System and method for discriminating traffic conditions based on traffic conditions parameter - Google Patents
System and method for discriminating traffic conditions based on traffic conditions parameter Download PDFInfo
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- CN102087789A CN102087789A CN2009101998207A CN200910199820A CN102087789A CN 102087789 A CN102087789 A CN 102087789A CN 2009101998207 A CN2009101998207 A CN 2009101998207A CN 200910199820 A CN200910199820 A CN 200910199820A CN 102087789 A CN102087789 A CN 102087789A
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Abstract
The invention discloses a system and a method for discriminating traffic conditions, which are high in precision and strong in applicability. Based on analysis on characters of floating car data, travel impedance is considered and a critical value is judged, and the accurate traffic conditions discrimination is finished through pre-discrimination of the traffic conditions and twice traffic conditions modification. With the system and the method provided by the invention, abnormal traffic conditions fluctuation the generated by the fluctuation of the traffic conditions parameter around a threshold can be eliminated, simultaneously, traffic conditions step caused by abnormal data can be removed, and road conditions can be reflected maximally, so that the traffic conditions discrimination with higher precision can be made so as to meet the demands of traffic commanding and dispatching, traffic aid decision making and normal travelers.
Description
Technical field
The present invention relates to the intelligent transport technology field, relate in particular to the traffic state judging technical field, more particularly, relate to traffic state judging system and method based on the traffic behavior parameter.
Background technology
Floating Car (Float Car) also is known as " probe vehicles (Probe car) ", is one of the advanced technology means of Traffic Information of obtaining that adopted in the international in recent years intelligent transportation system (ITS).Its ultimate principle is: according to the vehicle location of Floating Car periodic logging in its driving process of equipping vehicle-bone global positioning system, direction and velocity information, using relevant computation model and algorithm such as map match, path culculating handles, Floating Car position data and urban road are associated on time and space, finally obtain the traffic congestion information such as driving hourage of the Vehicle Speed of road that Floating Car is passed through and road.If in the city, dispose the Floating Car of sufficient amount, and the position data of these Floating Car is transferred to an information processing centre regularly, in real time by wireless telecommunication system, by information center's overall treatment, just can obtain dynamic, the real-time traffic congestion information of entire city.
(Floating Car Data FCD) has advantages such as installation cost is low, maintenance is simple and easy, efficient, real-time, automatization level is high, detected parameters is comprehensive to the floating car data acquisition technique, has obtained the large-scale popularization application.Each big and medium-sized cities has all been set up the ITS platform and has been disposed a large amount of Floating Car equipment based on taxi or bus at present, and its traffic information data that collects can be applied to traffic-information service fields such as traffic behavior estimation, prediction.
Traffic state judging usually by floating car traffic information collection, the pre-service of GPS raw data, GPS GIS map match, traffic behavior parameter estimation, traffic state judging several steps form:
The floating car traffic information acquisition system is mainly formed by vehicle GPS equipment, cordless communication network with based on transport information processing platform of GIS etc.Vehicle GPS equipment receiving satellite signal also is sent to traffic information center by cordless communication network with data such as vehicle coordinate, speed.Transport information processing platform based on GIS is meant transport information processing and analyzing software system, database and computer equipment etc.
The pretreated purpose of GPS raw data is the abnormal data that screens out wherein, and for example, some data speed value is unusual high or less than 0 in the FCD data; Some data latitude and longitude information remained unchanged in a period of time, but speed is not 0; Some data direction angle is unusual.The processing of these abnormal datas is directly affected the accuracy of road section traffic volume state parameter.
GPS the GIS map match gps data and the GIS road information data that Floating Car sends are compared, judge Floating Car most possible position on road network with specific algorithm, and with this FCD Data Matching to this highway section, make each bar FCD data belong to unique highway section.
The traffic behavior parameter estimation is to utilize specific algorithm the process of the speed data on each highway section to be calculated the state parameter in this highway section, this process need consider that the data volume deficiency of floating car data etc. is all multifactor, with the purpose of the true traffic behavior that reaches the reflection highway section.
Traffic state judging is the degree of blocking up of determining the highway section according to the traffic behavior parameter, and this process generally need be considered threshold setting of judging and the robustness of differentiating the result.
In traditional system and method, traffic state judging is to adopt certain threshold value setting, directly differentiates according to the traffic behavior parameter.During near threshold value, the traffic behavior poor stability that determines causes accuracy to decline to a great extent to these class methods in the traffic behavior parameter.
Summary of the invention
The present invention is in order to overcome defective and the deficiency that prior art exists, and based on the analysis to the floating car data characteristic, considers that traffic impedance and critical value judge, a kind of precision height, traffic state judging system and method that applicability is strong are provided.
Technical matters solved by the invention can realize by the following technical solutions:
A first aspect of the present invention, the traffic state judging system based on the traffic behavior parameter is characterized in that, comprising:
The traffic behavior parameter acquisition module is obtained the traffic behavior parameter in interval, highway section from database;
Traffic behavior is differentiated module in advance, according to the highway section that obtains from the traffic behavior parameter acquisition module traffic behavior parameter of interval this period, exports the pre-differentiation traffic behavior of this period;
First correcting module according to the variation that this period traffic behavior parameter goes up a period traffic behavior parameter relatively, need to judge whether the pre-differentiation traffic behavior of revised version period, exports first of this period and revises traffic behavior;
Second correcting module, the variation according to this period first correction traffic behavior is gone up a period traffic behavior relatively need to judge whether first of the revised version period to revise traffic behavior, exports second of this period and revises traffic behavior;
The traffic behavior output module is according to the second correction traffic behavior of this period, output traffic state judging result.
Among the present invention, further also comprise traffic behavior parameter threshold analysis module, it is rationally divided traffic behavior parameter (average speed of Floating Car) threshold interval, and the Floating Car average speed is turned to a plurality of different average speed threshold intervals of branch according to the speed speed.
The corresponding a kind of traffic behavior of the threshold interval of each average speed, different traffic behaviors is corresponding one by one with different traffic behavior values, the traffic behavior value increases gradually with the increase of threshold interval average speed or reduces, it is unimpeded to be that traffic behavior becomes from obstruction, and the traffic behavior value increases gradually or reduces.
Traffic behavior is differentiated module in advance according to the average speed threshold interval under this period Floating Car average speed, with pre-differentiation of traffic behavior this period of the value representation traffic behavior of this average speed threshold interval correspondence.
Among the present invention, for first correcting module, first scalar quantity, second scalar quantity and the 3rd scalar quantity are set, if the absolute value of the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast is less than first scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, the traffic behavior in the above interval, a period highway section of first correcting module is revised traffic behavior as this period first, and the corresponding traffic behavior value of output;
If the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast are greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, first correcting module is with the most contiguous unimpeded relatively traffic behavior of this period pre-differentiation traffic behavior, as this period first correction traffic behavior, and export corresponding traffic behavior value;
If the average speed velocity contrast of a last period Floating Car average speed and this period Floating Car is greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, first correcting module is with the pre-traffic behavior of differentiating the most contiguous relative obstruction of traffic behavior of this period, as this period first correction traffic behavior, and export corresponding traffic behavior value;
Other situations then need not pre-differentiation of revised version period traffic behavior, and first correcting module is revised traffic behavior with pre-differentiation of this period traffic behavior as this period first, and the traffic behavior value of output correspondence.
Among the present invention, for second correcting module, to go up a period traffic behavior relatively be to become relative obstruction by unimpeded if this period first is revised traffic behavior, and the amplitude of variation of corresponding traffic behavior value is greater than critical parameter, second correcting module will be gone up a period traffic behavior and ask mean deviation to round to the relative unimpeded direction of traffic behavior with the first traffic behavior value of revising the traffic behavior correspondence, by calculating the traffic behavior value of the second traffic behavior correspondence, obtain second then and revise traffic behavior; Otherwise, need not revised version period first correction traffic behavior, second correcting module is revised traffic behavior as this period second traffic correction state with this period first.
A second aspect of the present invention, the traffic state judging method based on the traffic behavior parameter is characterized in that, comprising:
Traffic behavior parameter acquiring step is obtained the traffic behavior parameter in interval, highway section from database;
Traffic behavior is differentiated step in advance, according to the highway section that obtains from the traffic behavior parameter acquisition module traffic behavior parameter of interval this period, exports the pre-differentiation traffic behavior of this period;
First revises step, according to the variation that this period traffic behavior parameter goes up a period traffic behavior parameter relatively, need to judge whether the pre-differentiation traffic behavior of revised version period, exports first of this period and revises traffic behavior;
Second revises step, and the variation according to this period first correction traffic behavior is gone up a period traffic behavior relatively need to judge whether first of the revised version period to revise traffic behavior, exports second of this period and revises traffic behavior;
Traffic behavior output step is according to the second correction traffic behavior of this period, output traffic state judging result.
Among the present invention, further also comprise traffic behavior parameter threshold analytical procedure, it is rationally divided traffic behavior parameter (average speed of Floating Car) threshold interval, and the Floating Car average speed is turned to a plurality of different average speed threshold intervals of branch according to the speed speed.
The corresponding a kind of traffic behavior of the threshold interval of each average speed, different traffic behaviors is corresponding one by one with different traffic behavior values, the traffic behavior value increases gradually with the increase of threshold interval average speed or reduces, it is unimpeded to be that traffic behavior becomes from obstruction, and the traffic behavior value increases gradually or reduces.
Traffic behavior is differentiated in the step in advance, according to the average speed threshold interval under this period Floating Car average speed, with pre-differentiation of traffic behavior this period of the value representation traffic behavior of this average speed threshold interval correspondence.
The present invention first revises in the step, first scalar quantity, second scalar quantity and the 3rd scalar quantity are set, if the absolute value of the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast is less than first scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, more than the traffic behavior in interval, a period highway section revise traffic behavior as this period first, and the corresponding traffic behavior value of output;
If the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast are greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, with the most contiguous unimpeded relatively traffic behavior of this period pre-differentiation traffic behavior, as this period first correction traffic behavior, and export corresponding traffic behavior value;
If the average speed velocity contrast of a last period Floating Car average speed and this period Floating Car is greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, with the pre-traffic behavior of differentiating the most contiguous relative obstruction of traffic behavior of this period, as this period first correction traffic behavior, and export corresponding traffic behavior value;
Other situations then need not pre-differentiation of revised version period traffic behavior, revise traffic behavior with pre-differentiation of this period traffic behavior as this period first, and the traffic behavior value of output correspondence.
The present invention second revises in the step, to go up a period traffic behavior relatively be to become relative obstruction by unimpeded if this period first is revised traffic behavior, and the amplitude of variation of corresponding traffic behavior value is greater than critical parameter, ask mean deviation to round with the first traffic behavior value of revising the traffic behavior correspondence a last period traffic behavior to the relative unimpeded direction of traffic behavior, by calculating the traffic behavior value of the second traffic behavior correspondence, obtain second then and revise traffic behavior; Otherwise, need not revised version period first to revise traffic behavior, revise traffic behavior as this period second traffic correction state with this period first.
Compared with prior art, the present invention can effectively eliminate the improper fluctuation of traffic behavior that the traffic behavior parameter fluctuates and produces near threshold value, simultaneously can eliminate the traffic behavior step that abnormal data causes, reflect true road conditions to greatest extent, judge thereby make the higher traffic behavior of precision, to adapt to the demand of point duty scheduling, traffic aid decision making and common traveler.
Description of drawings
Fig. 1 forms and logical flow chart for system of the present invention
Fig. 2 is a traffic state judging method flow diagram of the present invention
Embodiment
For technological means, creation characteristic that the present invention is realized, reach purpose and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
Core concept of the present invention is, a kind of traffic state judging system and method based on the traffic behavior parameter is provided, the existing threshold value that only adopts is carried out the system and method that traffic behavior is judged, differentiate and module by traffic behavior is pre-, what effectively elimination traffic behavior parameter (being meant the Floating Car average speed here) fluctuateed near threshold value and produces back and forth beating, and the traffic behavior step that causes of abnormal data, reflect true road conditions to greatest extent, judge thereby make the higher traffic behavior of precision.
When urban road traffic state is differentiated, normally whole roads in city are divided into interval, a plurality of highway section, traffic state judging is carried out in each interval, highway section respectively, and the traffic behavior in all intervals, highway section gathers, and can obtain the traffic behavior of entire city road.
For any one highway section is interval, although final purpose is to seek out the real-time traffic behavior in this highway section, be that the interval, highway section is divided into enough little a plurality of periods in the actual treatment, with the alternative real-time traffic behavior of the traffic behavior of each period.
Referring to Fig. 1, traffic state judging of the present invention system, can be divided into three basic layers, pretreatment layer, core layer and output layer, pretreatment layer carries out pre-service to the traffic behavior parameter, core layer is core of the present invention, and the traffic behavior ginseng after it is mainly handled according to pretreatment layer is differentiated the highway section traffic behavior of interval current period, and output layer is then finally exported the differentiation result of traffic behavior.
Pretreatment layer comprises the traffic behavior parameter acquisition module, and the traffic behavior parameter acquisition module is the basis that this judgement system and traffic behavior parameter estimation link are linked up, and it mainly acts on is the traffic behavior parameter of obtaining the interval in highway section.Among the present invention, mainly be a period is differentiated on the average speed of a period Floating Car on the average speed that obtains interval this period Floating Car in highway section, the interval, highway section and the interval, highway section traffic behavior etc., the average speed that has obtained the interval Floating Car in highway section can be understood the traffic behavior in interval, highway section.
Pretreatment layer further also comprises traffic behavior parameter threshold analysis module, and its effect is that traffic behavior parameter threshold interval is rationally divided.Among the present invention, the traffic behavior parameter of considering promptly has only the average speed of Floating Car, the traffic behavior parameter of mentioning in the literary composition all refers to the average speed of Floating Car, so traffic behavior parameter threshold analysis module turns to a plurality of different average speed threshold intervals of branch with the Floating Car average speed according to the speed speed.
The threshold interval of average speed is divided, can distribute to the interval average speed in different highway sections according to traffic behavior parameter threshold analysis module, obtain by long-term statistics and analysis, different average speed threshold intervals can be unequal fully, traffic behavior parameter threshold analysis module is that Floating Car average speed threshold value is divided the value of offering suggestions, to reach the purpose of decision support.
The corresponding a kind of traffic behavior of the threshold interval of each average speed, learn the average speed of the interval any period Floating Car in highway section, can carry out a preliminary differentiation to traffic behavior, as long as average speed is in same threshold interval, the principium identification that carries out traffic behavior is to think that all the interval, highway section is in same traffic behavior.The then corresponding different traffic behavior of different average speed threshold intervals, adopt the traffic behavior value to distinguish to the pairing every kind of traffic behavior of average speed threshold interval, different traffic behaviors is corresponding one by one with different traffic behavior values, traffic behavior can be represented by the traffic behavior value like this, more help the quantitative test traffic behavior, and also can change mutually arbitrarily between traffic behavior and the traffic behavior value, greatly facilitate traffic state judging result's generation.
The traffic behavior in interval, highway section gradually becomes unimpeded by obstruction, and the traffic behavior value of different traffic correspondence preferably also gradually becomes unimpeded increase gradually according to traffic behavior by obstruction or reduces gradually.Like this, by the variation of traffic behavior value, can learn the situation of change of traffic behavior, under the preferred situation, the traffic behavior value preferably gradually becomes unimpeded along with traffic behavior by obstruction and increases gradually, so the traffic behavior value is big more, represents that promptly current traffic behavior is unimpeded more.
For example, as follows the traffic behavior value is defined in the present embodiment:
Floating Car average speed v
0Below, corresponding traffic behavior value S=0;
The Floating Car average speed is at v
1To v
2Between, corresponding traffic behavior value S=1;
The Floating Car average speed is at v
2To v
3Between, corresponding traffic behavior value S=2;
……
The Floating Car average speed is at v
nMore than, corresponding traffic behavior value S=n.
V wherein
0＜v
1＜v
2＜v
3＜...＜v
nLike this, threshold interval from minimum average speed, corresponding traffic behavior value S is since 0 numeration and increase gradually, and the traffic behavior value of the threshold interval of adjacent average speed differs 1, for the traffic behavior of different periods, size by the traffic behavior value compares, can learn that in the day part, the traffic behavior of which period is unimpeded relatively on the one hand, also can learn unimpeded relatively degree easily on the other hand.
The core layer of traffic state judging of the present invention system comprises that traffic behavior differentiates module, first correcting module and second correcting module in advance.The effect that traffic behavior is differentiated module in advance is that the traffic behavior to interval this period of highway section carries out principium identification, obtains the pre-differentiation traffic behavior of this period.It is this period Floating Car average speed according to traffic behavior parameter acquisition module acquisition before, judge that the average speed threshold interval under this speed of a motor vehicle obtains, pre-differentiation traffic behavior is exported in the mode of traffic behavior value, is convenient to follow-up correction and further differentiation.
Finish after the pre-differentiation of this period traffic behavior, first correcting module judges whether to need to revise the pre-traffic behavior of differentiating again according to the average speed of this period Floating Car and the most contiguous average speed threshold value of average speed of a last period Floating Car average speed and this period Floating Car.
First correcting module also can be referred to as nearly threshold value correcting module, and it is intended to accurately to differentiate near the traffic behavior of traffic behavior parameter threshold value the time, dynamically judges the pairing traffic behavior of traffic behavior parameter, avoids producing the improper fluctuation of traffic behavior.
The traffic behavior of the differentiation of a period can be learnt the traffic behavior value of a period easily on the interval, highway section that obtains by the traffic behavior parameter acquisition module, will go up a period highway section state value and be designated as S
0, highway section pre-differentiation of interval this period traffic behavior value is S
i, a last period highway section Floating Car average speed is v
0, this period average speed is v
i, then:
First revises the traffic behavior value
Wherein, v is the contiguous average speed threshold value of average speed of this period Floating Car, for example this period Floating Car average speed v
iBe in above-mentioned v
1To v
2Between the threshold speed interval, v
1And v
2Be the average speed threshold value that this period Floating Car average speed closes on, judging | v
iDuring-v|＜β, how to threshold value v
1And v
2Handle, following dual mode arranged:
(1), v
iMore near average velocity threshold value v
1And v
2In which, directly judge for the most contiguous average speed threshold value v of average speed of this period Floating Car with it;
(2), not forethought on earth with v
1And v
2In which one judge, as long as v
1And v
2In have a threshold value to make | v
i-v|＜β sets up, and promptly thinks and has satisfied decision condition.
α is first scalar quantity, and it judges whether this period of Floating Car average speed is contiguous with a last period average speed; β is second scalar quantity, and it judges whether this period of Floating Car average speed is contiguous with the average speed threshold value of this period average speed vicinity; γ the 3rd scalar quantity, it judges whether this period of Floating Car average speed with respect to a last period average speed bigger variation takes place.
When | v
i-v
0|＜α and | v
iDuring-v|＜β, the average speed of representing this period is close to a last period average speed and the most contiguous average speed threshold value of this period average speed very much, consider the continuity of traffic behavior, revise highway section pre-differentiation of interval this period traffic behavior, traffic behavior with a period on the interval, highway section was revised traffic behavior, the traffic behavior value S of a last period as first
0Be this period first correction traffic behavior value S '.
Work as v
i-v
0＞γ and | v
iDuring-v|＜β, certain variation (average speed has accelerated) has taken place with respect to a last period average speed in expression this period of Floating Car average speed, and the most contiguous average speed threshold value of this period of Floating Car average speed and this period average speed is adjoining, this illustrates that the traffic of this period goes up the traffic of a period relatively the trend that becomes unimpeded is relatively arranged, revise highway section pre-differentiation of interval this period traffic behavior, with the most contiguous unimpeded relatively traffic behavior of this period pre-differentiation traffic behavior, as this period first correction traffic behavior, for present embodiment, traffic behavior value between the traffic behavior of unimpeded degree vicinity differs 1, therefore the traffic behavior value S of a last period
0+ 1 is this period first correction traffic behavior value S '.
Work as v
0-v
i＞γ and | v
iDuring-v|＜β, certain variation (average speed is slack-off) has taken place with respect to a last period average speed in expression this period of Floating Car average speed, and the most contiguous average speed threshold value of this period of Floating Car average speed and this period average speed is adjoining, this illustrates that the traffic of this period goes up the traffic of a period relatively the trend that becomes and block is relatively arranged, revise highway section pre-differentiation of interval this period traffic behavior, with the pre-traffic behavior of differentiating the most contiguous relative obstruction of traffic behavior of this period, as this period first correction traffic behavior, for present embodiment, traffic behavior value between the traffic behavior of unimpeded degree vicinity differs 1, therefore the traffic behavior value S of a last period
0-1 is this period first correction traffic behavior value S '.
For other situations, for example work as v
i-v
0＞γ and | v
iDuring-v|＞β, represent that this period average speed with respect to a last period average speed apparent in view variation (average speed has obviously accelerated) has taken place, at this moment pre-differentiation of this period traffic behavior can react the variation tendency of this period traffic behavior, then pre-differentiation of this period traffic behavior is not revised, revise traffic behavior with pre-differentiation of this period traffic behavior as first of this period, interval this period of highway section is differentiated traffic behavior value S in advance
iBe this period first correction traffic behavior value S '.Need not the pre-situation of differentiating traffic behavior of revised version period and also have other several, reality all is to have expressed this period to differentiate the variation tendency that traffic behavior can react this period traffic behavior in advance, has not narrated one by one at this.
First scalar quantity, second scalar quantity and the 3rd gauged value can be based on the average speed threshold intervals, test on the spot or emulation experiment draws.First scalar quantity, the second gauged function are respectively to judge whether the variation of this period average speed and a last period average speed, this period average speed and average speed threshold value is enough small, the 3rd gauged function is to judge whether this a period average speed and a last period average speed change enough big, by above-mentioned three gauged functions and meaning as can be known, the 3rd scalar quantity is greater than first and second scalar quantities.As this period average speed v
iWhen being in different Floating Car average speed threshold intervals, because the scope of each speed of a motor vehicle threshold interval may be different, therefore first scalar quantity of choosing, second scalar quantity, the 3rd scalar quantity be difference to some extent also, and the scalar quantity of the speed of a motor vehicle threshold interval that scope is bigger in principle can be relatively large.
The purpose of the first correcting module correction is, imitate and eliminate the improper fluctuation of traffic behavior that traffic behavior parameter (Floating Car average speed) fluctuates and produces near the average speed threshold value, whether after finishing correction for the first time, traffic behavior is revised in output first, consider to carry out to revise the second time again.
Next step, second correcting module is revised the step variation that traffic behavior is gone up a period traffic behavior relatively according to this period first again, need to judge whether first of the revised version period to revise traffic behavior, exports second of this period and revises traffic behavior.
Second correcting module also can be referred to as the step correcting module, and it introduces the impedance parameter notion, and when having considered issued state emphatically, traffic behavior needs highway section state of last period to judge by unimpeded the unusual of obstruction that become.
In the processing in front, obtained that a period traffic behavior value is S on the interval, highway section
0, interval this period first of highway section is revised traffic behavior value S '
i, then:
Second revises the traffic behavior value
Wherein, m is a critical parameter, works as S
0-S '
iDuring＞m, represent that first of this period revises traffic behavior and go up a period traffic behavior relatively, traffic behavior is by the unimpeded obstruction that becomes, and the amplitude of variation of corresponding traffic behavior value is greater than critical parameter m, and then a period traffic behavior value is S this moment of more than
0Revise traffic behavior value S ' with first of this period
iAverage round up, obtain this period second traffic behavior value S
i",, can obtain this period second traffic behavior owing to concern one to one between traffic behavior value and the traffic behavior.Critical parameter m also can be referred to as the step critical parameter, its expression when traffic behavior by unobstructed when block changing m with last state value, the first correction traffic behavior is revised.Otherwise, need not to revise traffic behavior and revise first, revise traffic behavior with interval this period first of highway section and revise traffic behavior as interval this period second of highway section.
The main effect of second correcting module is, eliminates the traffic behavior step that abnormal data causes, and reflects true road conditions to greatest extent, judges thereby make the higher traffic behavior of precision.
After finishing above step, the traffic behavior output module is revised traffic behavior according to second of this period, and the output traffic state judging is the result get final product, will differentiate the result again and export publishing table in the database to, just can finish the issue of interval, highway section this period traffic behavior.Adopt for other intervals, highway section and to carry out traffic state judging in a like fashion, the differentiation result in all intervals, highway section is gathered, can obtain the traffic state judging result in this period city.
For urban road was interval, the embodiment of optimum of the present invention was that the average speed with Floating Car is divided into three grades, promptly blocks: 0-15Km/h, and crowded 15-30Km/h, more than the unobstructed 30Km/h, average threshold v
0=15Km/h, v
1=30Km/h.Because the scope of average speed threshold interval is identical, so each interval scalar quantity value is identical, first scalar quantity α=5Km/h is second scalar quantity β=2.5Km/h, the 3rd scalar quantity γ=12.5Km/h, critical parameter m=1.
Therefore, the flow process of traffic state judging method of the present invention as shown in Figure 2.At first, obtain the traffic behavior parameter, generate the pre-traffic behavior of differentiating.Revise in the step first, judge whether and need revise, carry out proximity threshold earlier and judge pre-differentiation traffic behavior, promptly | v
iWhether-v|＜β sets up, if be false, does not then need to revise pre-differentiation traffic behavior, directly revises traffic behavior with highway section pre-differentiation of interval this period traffic behavior as this period first, if set up, is v to a last period highway section Floating Car average speed again
0With this period average speed be v
iVariation judge, carry out passing through pre-differentiation of revised version period traffic behavior after velocity variations adjustment or the proximity threshold adjustment according to different situations, generate this period first correction traffic behavior, the concrete decision condition and the result of judgement can be referring to above-mentioned formula (1) and corresponding explanations.
After traffic behavior is revised in output first, judge whether in the second correction step that need revise traffic behavior to first revise, if this period first is revised traffic behavior and goes up a period traffic behavior relatively by the unimpeded obstruction that becomes, the step variation has taken place, then prevent the adjustment of step, revising traffic behavior to first revises, otherwise need not to revise traffic behavior to first revises, directly revise traffic behavior with first and revise traffic behavior as second, the concrete decision condition and the result of judgement can be referring to above-mentioned formula (2) and corresponding explanations.
Generate second revise traffic behavior after, can revise traffic behavior according to second of this period, the output traffic state judging is the result get final product, will differentiate the result again and export publishing table in the database to, finishes the issue of interval, highway section this period traffic behavior.
More than show and described ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that describes in the foregoing description and the instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (12)
1. based on the traffic state judging system of traffic behavior parameter, it is characterized in that, comprising:
The traffic behavior parameter acquisition module is obtained the traffic behavior parameter in interval, highway section from database;
Traffic behavior is differentiated module in advance, according to the highway section that obtains from the traffic behavior parameter acquisition module traffic behavior parameter of interval this period, exports the pre-differentiation traffic behavior of this period;
First correcting module according to the variation that this period traffic behavior parameter goes up a period traffic behavior parameter relatively, need to judge whether the pre-differentiation traffic behavior of revised version period, exports first of this period and revises traffic behavior;
Second correcting module, the variation according to this period first correction traffic behavior is gone up a period traffic behavior relatively need to judge whether first of the revised version period to revise traffic behavior, exports second of this period and revises traffic behavior;
The traffic behavior output module is according to the second correction traffic behavior of this period, output traffic state judging result.
2. the traffic state judging system based on the traffic behavior parameter as claimed in claim 1, it is characterized in that: also comprise traffic behavior parameter threshold analysis module, it turns to a plurality of different average speed threshold intervals of branch with the Floating Car average speed according to the speed speed.
3. the traffic state judging system based on the traffic behavior parameter as claimed in claim 2, it is characterized in that: the corresponding a kind of traffic behavior of the threshold interval of each average speed, different traffic behaviors is corresponding one by one with different traffic behavior values, and the traffic behavior value increases gradually with the increase of threshold interval average speed or reduces.
4. as claim 2 or 3 described traffic state judging systems based on the traffic behavior parameter, it is characterized in that: traffic behavior is differentiated module in advance according to the average speed threshold interval under this period Floating Car average speed, with pre-differentiation of traffic behavior this period of the value representation traffic behavior of this average speed threshold interval correspondence.
5. the traffic state judging system based on the traffic behavior parameter as claimed in claim 4, it is characterized in that: for first correcting module, first scalar quantity is set, second scalar quantity and the 3rd scalar quantity, if the absolute value of the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast is less than first scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, the traffic behavior in the above interval, a period highway section of first correcting module is revised traffic behavior as this period first, and the corresponding traffic behavior value of output;
If the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast are greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, first correcting module is with the most contiguous unimpeded relatively traffic behavior of this period pre-differentiation traffic behavior, as this period first correction traffic behavior, and export corresponding traffic behavior value;
If the average speed velocity contrast of a last period Floating Car average speed and this period Floating Car is greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, first correcting module is with the pre-traffic behavior of differentiating the most contiguous relative obstruction of traffic behavior of this period, as this period first correction traffic behavior, and export corresponding traffic behavior value;
Other situations then need not pre-differentiation of revised version period traffic behavior, and first correcting module is revised traffic behavior with pre-differentiation of this period traffic behavior as this period first, and the traffic behavior value of output correspondence.
6. the traffic state judging system based on the traffic behavior parameter as claimed in claim 5, it is characterized in that: for second correcting module, to go up a period traffic behavior relatively be to become relative obstruction by unimpeded if this period first is revised traffic behavior, and the amplitude of variation of corresponding traffic behavior value is greater than critical parameter, second correcting module will be gone up a period traffic behavior and ask mean deviation to round to the relative unimpeded direction of traffic behavior with the first traffic behavior value of revising the traffic behavior correspondence, by calculating the traffic behavior value of the second traffic behavior correspondence, obtain second then and revise traffic behavior; Otherwise, need not revised version period first correction traffic behavior, second correcting module is revised traffic behavior as this period second traffic correction state with this period first.
7. based on the traffic state judging method of traffic behavior parameter, it is characterized in that, comprising:
Traffic behavior parameter acquiring step is obtained the traffic behavior parameter in interval, highway section from database;
Traffic behavior is differentiated step in advance, according to the highway section that obtains from the traffic behavior parameter acquisition module traffic behavior parameter of interval this period, exports the pre-differentiation traffic behavior of this period;
First revises step, according to the variation that this period traffic behavior parameter goes up a period traffic behavior parameter relatively, need to judge whether the pre-differentiation traffic behavior of revised version period, exports first of this period and revises traffic behavior;
Second revises step, and the variation according to this period first correction traffic behavior is gone up a period traffic behavior relatively need to judge whether first of the revised version period to revise traffic behavior, exports second of this period and revises traffic behavior;
Traffic behavior output step is according to the second correction traffic behavior of this period, output traffic state judging result.
8. the traffic state judging method based on the traffic behavior parameter as claimed in claim 7 is characterized in that: also comprise traffic behavior parameter threshold analytical procedure, the Floating Car average speed is turned to a plurality of different average speed threshold intervals of branch according to the speed speed.
9. the traffic state judging method based on the traffic behavior parameter as claimed in claim 8, it is characterized in that: the corresponding a kind of traffic behavior of the threshold interval of each average speed, different traffic behaviors is corresponding one by one with different traffic behavior values, and the traffic behavior value increases gradually with the increase of threshold interval average speed or reduces.
10. as claimed in claim 8 or 9 based on the traffic state judging method of traffic behavior parameter, it is characterized in that: traffic behavior is differentiated in the step in advance, according to the average speed threshold interval under this period Floating Car average speed, with pre-differentiation of traffic behavior this period of the value representation traffic behavior of this average speed threshold interval correspondence.
11. the traffic state judging method based on the traffic behavior parameter as claimed in claim 10, it is characterized in that: first revises in the step, first scalar quantity is set, second scalar quantity and the 3rd scalar quantity, if the absolute value of the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast is less than first scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, more than the traffic behavior in interval, a period highway section revise traffic behavior as this period first, and the corresponding traffic behavior value of output;
If the average speed of this period Floating Car and a last period Floating Car average speed velocity contrast are greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, with the most contiguous unimpeded relatively traffic behavior of this period pre-differentiation traffic behavior, as this period first correction traffic behavior, and export corresponding traffic behavior value;
If the average speed velocity contrast of a last period Floating Car average speed and this period Floating Car is greater than the 3rd scalar quantity, and the absolute value of the average speed threshold difference that the average speed of this period Floating Car and this period Floating Car average speed are contiguous is less than second scalar quantity, with the pre-traffic behavior of differentiating the most contiguous relative obstruction of traffic behavior of this period, as this period first correction traffic behavior, and export corresponding traffic behavior value;
Other situations then need not pre-differentiation of revised version period traffic behavior, revise traffic behavior with pre-differentiation of this period traffic behavior as this period first, and the traffic behavior value of output correspondence.
12. the traffic state judging method based on the traffic behavior parameter as claimed in claim 11, it is characterized in that: second revises in the step, to go up a period traffic behavior relatively be to become relative obstruction by unimpeded if this period first is revised traffic behavior, and the amplitude of variation of corresponding traffic behavior value is greater than critical parameter, ask mean deviation to round with the first traffic behavior value of revising the traffic behavior correspondence a last period traffic behavior to the relative unimpeded direction of traffic behavior, by calculating the traffic behavior value of the second traffic behavior correspondence, obtain second then and revise traffic behavior; Otherwise, need not revised version period first to revise traffic behavior, revise traffic behavior as this period second traffic correction state with this period first.
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