CN105608894A - Method and device for determining abrupt jam state - Google Patents
Method and device for determining abrupt jam state Download PDFInfo
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- CN105608894A CN105608894A CN201610112029.8A CN201610112029A CN105608894A CN 105608894 A CN105608894 A CN 105608894A CN 201610112029 A CN201610112029 A CN 201610112029A CN 105608894 A CN105608894 A CN 105608894A
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Abstract
The invention discloses a method and a device for determining an abrupt jam state. According to the method, a corresponding traffic state in an Nth statistics period at a to-be-detected time segment is acquired, after the traffic state is determined to be a jam state, whether the traffic state in the Nth statistics period at the to-be-detected time segment is the abrupt jam state can be determined according to corresponding N-1 sets of traffic flow parameters in previous N-1 statistics periods at the to-be-detected time segment and corresponding traffic flow parameters in Nth statistics periods at adjacent time segments of the to-be-detected time segment. Through the method, the traffic state is determined to be the abrupt jam state, the traffic state of the to-be-detected time segment, the historical statistics information and the traffic flow parameters of the adjacent time segments of the to-be-detected time segment are comprehensively considered, the bases are relatively complete, technical bases are provided for determining the abrupt jam state from multiple dimensions, so accuracy for determining the abrupt jam state is guaranteed, abrupt jam can be timely identified, and use efficiency of traffic resources can be improved.
Description
Technical field
The present invention relates to intelligent transport technology field, relate in particular to a kind of method of determining sudden congestion statusAnd device.
Background technology
Along with rapid development of economy, the number extreme expansion of China's vehicle, does not have corresponding expansion at path areaUnder large condition, traffic congestion has become one of greatest problem of all city management. Under normal circumstances, canRule of thumb, determine the time that traffic congestion occurs, for example, working peak period and next peak period holdEasily cause traffic congestion, thereby can be on duty peak period or next peak period take appropriate measures to alleviate friendshipThe logical problem of blocking up.
But in traffic congestion, sudden blocking up is a kind of special congestion status, sudden blocking up sent outThe raw time is unfixing, for example, because burst traffic accident causes wagon flow freely not form, therefore, sudden gathering aroundStifled have contingency, cannot rule of thumb come to determine. If cannot accurately and timely determine sudden blocking up,Can cause traffic administration person cannot take regulation measure timely, and then cannot solve in time sudden blocking up,And easily cause economic loss.
Therefore, need at present a kind of sudden method of blocking up of determining badly, sudden for identifying timely and accuratelyBlock up, assist traffic administration person to take regulation measure timely, improve the service efficiency of traffic resource.
Summary of the invention
The embodiment of the present invention provides a kind of method and device of determining sudden congestion status, for promptly and accuratelySudden the blocking up of ground identification, assists traffic administration person to take regulation measure timely, improves making of traffic resourceUse efficiency.
A kind of method of determining sudden congestion status that the embodiment of the present invention provides, comprising:
Obtain time period to be measured corresponding traffic behavior in N measurement period; Wherein, described traffic shapeState is according to the corresponding traffic flow ginseng in N measurement period of the section to be measured in the time period to be measured of obtainingNumber is determined; N is positive integer;
After determining that described traffic behavior is congestion status, obtain the described time period to be measured front N-1 statistics weekIn phase, corresponding N-1 group traffic flow parameter and the adjacent time period of described time to be measured are in N statistics weekCorresponding traffic flow parameter in phase;
If the described time period to be measured in N measurement period corresponding traffic flow parameter and described front N-1Difference in measurement period between the mean value of corresponding N-1 group traffic flow parameter in the first preset range,And described time period to be measured corresponding traffic flow parameter and described adjacent time period in N measurement period existDifference in N measurement period between corresponding traffic flow parameter, in the second preset range, is determined instituteState the time period to be measured in N measurement period in sudden congestion status.
Preferably, the traffic flow parameter in the section to be measured in described each time period comprises: institute in this time periodState the average speed of the vehicle in described section to be measured in the flow, this time period of the vehicle in section to be measured, andThe occupation rate of the vehicle in described section to be measured in this time period; Wherein, the occupation rate of described vehicle is this timeIn section, the vehicle in described section to be measured takies total duration of predeterminated position point and the ratio of the duration of this time period;
The described time period to be measured is corresponding traffic flow parameter and described front N-1 system in N measurement periodDifference in the meter cycle between the mean value of corresponding N-1 group traffic flow parameter in the first preset range,Comprise:
Described time period to be measured corresponding traffic flow parameter in N measurement period meets following condition:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured,QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage speed variance; OtFor the car in described time period described section to be measured in N measurement period to be measuredOccupation rate, OMt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of occupation rate, O σt' be that the described time period to be measured is described to be measured in a front N-1 measurement periodThe occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value.
Preferably, the described adjacent time period comprises previous time period and the rear time period of described time to be measured;
The described time period to be measured is corresponding traffic flow parameter and described adjacent time period in N measurement periodDifference in N measurement period between corresponding traffic flow parameter, in the second preset range, comprising:
Described time period to be measured corresponding traffic flow parameter in N measurement period at least meets following arbitraryCondition:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
Preferably, in described front N-1 measurement period, the mean value of corresponding N-1 group traffic flow parameter passes throughFollowing mode obtains:
According to described N-1 group traffic flow parameter, determine that the described time period to be measured is at a described front N-1 measurement periodThe initial average output value of interior traffic flow parameter and the initial variance of traffic flow parameter;
Delete the difference in described N-1 group traffic flow parameter and between the initial average output value of described traffic flow parameterDo not meet the abnormal traffic flow parameter of the 3rd preset range; Described the 3rd preset range is according to described traffic flowThe initial variance of parameter obtains;
According to the traffic flow parameter except described abnormal traffic flow parameter, obtain described front N-1 statistics weekThe mean value of corresponding N-1 group traffic flow parameter in phase.
Preferably, the difference and between the initial average output value of described traffic flow parameter does not meet the 3rd preset rangeAbnormal traffic flow parameter at least meet following arbitrary condition:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the vehicle in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial average output value of average speed, V σtDescribed in the described time period to be measured is in a front N-1 measurement period, treatSurvey the initial variance of the average speed of the vehicle in section; OtiFor the described time period to be measured is in i measurement periodThe occupation rate of the vehicle in described section to be measured, OMtFor the described time period to be measured is in a front N-1 measurement periodThe initial average output value of the occupation rate of the vehicle in described section to be measured, O σtFor the described time period to be measured is at front N-1The initial variance of the occupation rate of the vehicle in described section to be measured in individual measurement period; I is less than etc. for being more than or equal to 1In the integer of N-1, K1, K2, K3 are weighted value.
A kind of device of determining sudden congestion status that the embodiment of the present invention provides, this device comprises:
Acquisition module, for obtaining time period to be measured corresponding traffic behavior in N measurement period; ItsIn, described traffic behavior is according to the section to be measured institute in N measurement period in the time period to be measured of obtainingCorresponding traffic flow parameter is determined; N is positive integer;
Processing module, after determining that described traffic behavior is congestion status, obtains the described time period to be measured to existCorresponding N-1 group traffic flow parameter and the adjacent time of described time to be measured in a front N-1 measurement periodCorresponding traffic flow parameter in Duan N measurement period;
Determination module, for judging corresponding traffic flow ginseng in N measurement period of described time period to be measuredDifference in number and described front N-1 measurement period between the mean value of corresponding N-1 group traffic flow parameterIn the first preset range, and described time period to be measured corresponding traffic flow parameter in N measurement periodAnd described difference between corresponding traffic flow parameter in N measurement period of adjacent time period is pre-secondIf in the situation in scope, determine that the described time period to be measured blocking up in sudden in N measurement periodState.
Preferably, the traffic flow parameter in the section to be measured in described each time period comprises: institute in this time periodState the average speed of the vehicle in described section to be measured in the flow, this time period of the vehicle in section to be measured, andThe occupation rate of the vehicle in described section to be measured in this time period; Wherein, the occupation rate of described vehicle is this timeIn section, the vehicle in described section to be measured takies total duration of predeterminated position point and the ratio of the duration of this time period;
Described determination module specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period meets followingCondition:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured,QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage speed variance; OtFor the car in described time period described section to be measured in N measurement period to be measuredOccupation rate, OMt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of occupation rate, O σt' be that the described time period to be measured is described to be measured in a front N-1 measurement periodThe occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value.
Preferably, the described adjacent time period comprises previous time period and the rear time period of described time to be measured;
Described determination module specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period at least meetsArbitrary condition below:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
Preferably, described determination module also for:
According to described N-1 group traffic flow parameter, determine that the described time period to be measured is at a described front N-1 measurement periodThe initial average output value of interior traffic flow parameter and the initial variance of traffic flow parameter;
Delete the difference in described N-1 group traffic flow parameter and between the initial average output value of described traffic flow parameterDo not meet the abnormal traffic flow parameter of the 3rd preset range; Described the 3rd preset range is according to described traffic flowThe initial variance of parameter obtains;
According to the traffic flow parameter except described abnormal traffic flow parameter, obtain described front N-1 statistics weekThe mean value of corresponding N-1 group traffic flow parameter in phase.
Preferably, described determination module specifically for:
Delete the abnormal traffic flow parameter that at least meets following arbitrary condition:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the vehicle in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial average output value of average speed, V σtDescribed in the described time period to be measured is in a front N-1 measurement period, treatSurvey the initial variance of the average speed of the vehicle in section; OtiFor the described time period to be measured is in i measurement periodThe occupation rate of the vehicle in described section to be measured, OMtFor the described time period to be measured is in a front N-1 measurement periodThe initial average output value of the occupation rate of the vehicle in described section to be measured, O σtFor the described time period to be measured is at front N-1The initial variance of the occupation rate of the vehicle in described section to be measured in individual measurement period; I is less than etc. for being more than or equal to 1In the integer of N-1, K1, K2, K3 are weighted value.
In the above embodiment of the present invention, obtain time period to be measured corresponding traffic in N measurement periodState, after determining that described traffic behavior is congestion status, obtains the described time period to be measured front N-1 statisticsIn cycle, corresponding N-1 group traffic flow parameter and the adjacent time period of described time to be measured are added up at NCorresponding traffic flow parameter in cycle; If described time period to be measured corresponding friendship in N measurement periodIn through-flow parameter and described front N-1 measurement period, corresponding N-1 organizes between the mean value of traffic flow parameterDifference in the first preset range, and described time period to be measured corresponding traffic in N measurement periodStream parameter and described difference between corresponding traffic flow parameter in N measurement period of adjacent time period existIn the second preset range, definite described time period to be measured is blocking up in sudden in N measurement periodState. The embodiment of the present invention, in the time determining sudden congestion status, has considered the traffic of time period to be measuredState, historical statistics information and the traffic flow parameter of the adjacent time period of time period to be measured, can find out reallyFixed sudden congestion status according to comparatively comprehensive, thereby for determining that from various dimensions sudden congestion status providesTechnical basis, and then ensured to determine the accuracy of sudden congestion status. The embodiment of the present invention is by upperState mode, adopt data mining technology can identify in time sudden blocking up, assist traffic administration person take andTime regulation measure, improve the service efficiency of traffic resource.
Brief description of the drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, institute in describing embodiment belowNeed the accompanying drawing using to briefly introduce, apparently, the accompanying drawing in the following describes is only of the present inventionSome embodiment, for those of ordinary skill in the art, in the prerequisite of not paying creative workUnder, can also obtain according to these accompanying drawings other accompanying drawing.
A kind of method schematic diagram of determining sudden congestion status that Fig. 1 provides for the embodiment of the present invention;
A kind of structural representation of device of determining sudden congestion status that Fig. 2 provides for the embodiment of the present invention.
Detailed description of the invention
In order to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to thisBright being described in further detail, obviously, described embodiment is only the present invention's part embodiment,Instead of whole embodiment. Based on the embodiment in the present invention, those of ordinary skill in the art are not doingGo out all other embodiment that obtain under creative work prerequisite, all belong to the scope of protection of the invention.
Fig. 1 shows a kind of method of determining sudden congestion status that the embodiment of the present invention provides, comprise withLower step:
Step 101, obtains time period to be measured corresponding traffic behavior in N measurement period; Wherein, instituteIt is corresponding in N measurement period according to the section to be measured in the time period to be measured of obtaining stating traffic behaviorTraffic flow parameter is determined; N is positive integer;
Step 102, after determining that described traffic behavior is congestion status, obtains the described time period to be measured at front N-1Corresponding N-1 group traffic flow parameter and the adjacent time period of described time to be measured are the in individual measurement periodCorresponding traffic flow parameter in N measurement period;
Step 103, if the described time period to be measured corresponding traffic flow parameter and institute in N measurement periodState difference between the mean value of corresponding N-1 group traffic flow parameter in a front N-1 measurement period firstIn preset range, and the described time period to be measured in N measurement period corresponding traffic flow parameter with described inDifference between corresponding traffic flow parameter in N measurement period of adjacent time period is preset model secondIn enclosing, determine the described time period to be measured in N measurement period in sudden congestion status.
The embodiment of the present invention is determining when sudden congestion status, considered time period traffic behavior to be measured,The traffic flow parameter of the surrounding time section of historical statistics information and time period to be measured, can find out and determine burstProperty congestion status according to comparatively comprehensive, thereby for determining that from various dimensions sudden congestion status provides technologyFoundation, and then ensured to determine the accuracy of sudden congestion status. The embodiment of the present invention by the way,Adopt data mining technology can identify in time sudden blocking up, assist traffic administration person to take to regulate and control timelyMeasure, the service efficiency of raising traffic resource.
In the embodiment of the present invention, traffic behavior can have multiple dividing mode, such as, can preset traffic behaviorThree states such as being respectively unimpeded, walking or drive slowly and blocking up, also can preset traffic behavior be respectively idle, unimpeded,Jogging, than the slower jogging of jogging speed and five states such as block up. In the embodiment of the present invention, defaultTraffic behavior in highest level be and block up, how the embodiment of the present invention to specifically carrying out district to traffic behaviorDivide and do not do concrete restriction.
In the embodiment of the present invention, the traffic flow parameter in the section to be measured in each time period can comprise followingMeaning one or any combination: section to be measured in the flow of the vehicle in section to be measured, this time period in this time periodThe average speed of vehicle, and the occupation rate of the vehicle in section to be measured in this time period; Wherein, vehicleOccupation rate is that the vehicle in section to be measured takies total duration of predeterminated position point and this time period in this time periodThe ratio of duration. For reflecting more all-sidedly and accurately traffic behavior, preferably traffic flow in the embodiment of the present inventionParameter comprises above-mentioned three aspects.
In the embodiment of the present invention, a measurement period can be one day, or is a time period in one day,Such as, a measurement period is 10 o'clock to 18 o'clock in a day.
Specifically, taking a measurement period as one day as example, every 10 minutes in one day is a timeSection. Visible, in a measurement period, comprise multiple time periods. Taking a time period in multiple time periods asExample is introduced, by the flow of vehicle on section to be measured in this time period of device measuring; Measure this time periodIn the speed of each vehicle on section to be measured, calculate afterwards the average speed of the vehicle in this time period;At predeterminated position point, place arranges an inductor, if automobile is through this predeterminated position point, by this inductorObtain the duration of automobile through this predeterminated position point, and then it is pre-through this to calculate interior all vehicles of this time periodIf total duration of location point, and use this total duration divided by the duration of this time period 10 minutes, obtainValue is the occupation rate of the vehicle in section to be measured in this time period.
In the embodiment of the present invention, the time period to be measured can be in the multiple time periods that comprise in a measurement periodAny. According to the division of measurement period, the adjacent time period of time period to be measured can be the time period to be measuredPrevious time period or the rear time period of time period to be measured, or can be also time period to be measured last timeBetween section and a rear time period. Particularly, if a measurement period is 10 o'clock to 18 o'clock in a day, rightIn first time period of a measurement period, i.e. this time period of 10:00-10:10, its adjacent time periodFor the rear time period of this time period, i.e. 10:10-10:20, and without previous time period; For a statistics weekLast time period of phase, i.e. this time period of 17:50-18:00, its adjacent time period is this time periodPrevious time period, i.e. 17:40-17:50, and a time period without issue; And for removing above-mentioned first time periodWith the section At All Other Times outside last time period, its adjacent time period is can be this time period last timeBetween section and a rear time period.
The embodiment of the present invention, in step 102, after determining that traffic behavior is congestion status, is obtained the time to be measuredCorresponding N-1 group traffic flow parameter in a Duan Qian N-1 measurement period, due to statistical error and someOther influence factor, may exist some not obviously to be inconsistent in accessed front N-1 group traffic flow parameterClose the abnormal traffic flow parameter of normal condition. The embodiment of the present invention is organized traffic flow parameter according to N-1, determines and treatsSurvey initial average output value and the traffic flow parameter of time period traffic flow parameter in a described front N-1 measurement periodInitial variance, and N-1 is organized in traffic flow parameter and the initial average output value of described traffic flow parameter betweenThe traffic flow parameter that difference does not meet the 3rd preset range is defined as abnormal traffic flow parameter. Under normal circumstances,Abnormal traffic flow parameter refers to the traffic flow the differing greatly ginseng between the initial average output value of traffic flow parameterNumber. Wherein, the 3rd preset range can be that those skilled in the art are pre-according to the initial variance of traffic flow parameterThe scope first arranging.
Particularly, in the embodiment of the present invention, the traffic flow parameter that at least meets following arbitrary condition is defined as differentNormal traffic flow parameter:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the car in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor described section to be measured in the front N-1 measurement period of described time period to be measuredThe initial average output value of the average speed of vehicle, V σtFor the described time period to be measured is in a front N-1 measurement periodThe initial variance of the average speed of the vehicle in described section to be measured; OtiFor the described time period to be measured is added up at iThe occupation rate of the vehicle in described section to be measured in cycle, OMtFor the described time period to be measured is front N-1 statisticsThe initial average output value of the occupation rate of the vehicle in described section to be measured in cycle, O σtFor the described time period to be measured existsThe initial variance of the occupation rate of the vehicle in described section to be measured in a front N-1 measurement period; I is for being more than or equal to1 is less than or equal to the integer of N-1, and K1, K2, K3 are weighted value, can be by those skilled in the art according to warpTest setting.
In embodiment of the present invention step 103, determining on the basis that traffic behavior is congestion status, if to be measuredTime period meets following two aspects simultaneously, can determine the time period to be measured in N measurement period in prominentThe property sent out congestion status: first aspect, time period to be measured corresponding traffic flow parameter in N measurement periodAnd the difference in described front N-1 measurement period between the mean value of corresponding N-1 group traffic flow parameter existsIn the first preset range; Second aspect, the time period to be measured is corresponding traffic flow ginseng in N measurement periodNumber and described adjacent time period in N measurement period the difference between corresponding traffic flow parameter theIn two preset range. Wherein, the first preset range and the second preset range can be by those skilled in the art's rootsAccording to experience setting.
Be directed to first aspect, be specially time period to be measured corresponding traffic flow ginseng in N measurement periodNumber meets following condition simultaneously:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured,QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be described section to be measured in the front N-1 measurement period of described time period to be measuredThe average speed variance of vehicle; OtFor described time period to be measured described section to be measured in N measurement periodThe occupation rate of vehicle, OMt' be described section to be measured in the front N-1 measurement period of described time period to be measuredThe mean value of the occupation rate of vehicle, O σt' described in the described time period to be measured is in a front N-1 measurement period, treatSurvey the occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value, can be by those skilled in the art's rootAccording to experience setting.
Particularly, above-mentioned condition is the traffic flow parameter in N measurement period and front by the time period to be measuredTraffic flow parameter mean value in N-1 measurement period compares, if the time period to be measured is in N statistics weekThe flow of the vehicle in section to be measured is much larger than the flow of the vehicle in section to be measured in a front N-1 measurement period in phaseMean value, and the average speed of time period vehicle in section to be measured in N measurement period to be measured much smaller thanThe mean value of the average speed of the vehicle in section to be measured in a front N-1 measurement period, and the time period to be measured existsThe occupation rate of the vehicle in section to be measured is much larger than section to be measured in a front N-1 measurement period in N measurement periodThe mean value of occupation rate of vehicle, the traffic flow parameter of time period to be measured in N measurement period is describedThere is larger gap with mean value, and show that to a great extent the time period to be measured is to be measured in N measurement periodSection may be in sudden congestion status.
For making sudden differentiation of blocking up more accurate, need judge second aspect. Be specially, ifThe adjacent time period comprises previous time period and the rear time period of described time to be measured, is directed to second condition,For time period to be measured corresponding traffic flow parameter in N measurement period at least meets following arbitrary condition:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
In the embodiment of the present invention, above-mentioned condition (2) also can be by those skilled in the art rule of thumb and realBorder situation is added the formula that relevant occupation rate should meet. Due to according to finding occupation rate through actual measured resultsAffect littlely, can ignore, therefore the embodiment of the present invention is further to improve the efficiency of judging, preferably above-mentionedCondition (2) only relates to flow and average speed, and does not temporarily consider occupation rate.
It should be noted that, if the adjacent time period only comprises previous time period and the rear time period of time to be measuredIn one, can do accommodation to above-mentioned condition (2). For example, if the adjacent time period only compriseThe previous time period of time to be measured, above-mentioned condition (2) becomes: Vt-1-Vt>E2，Qt-1-Qt>E4; If the adjacent time period only comprises the rear time period of time to be measured, above-mentioned condition (2) becomes:Vt-Vt+1>E3，Qt-Qt+1>E5。
In the above embodiment of the present invention, obtain time period to be measured corresponding traffic in N measurement periodState, after determining that described traffic behavior is congestion status, obtains the described time period to be measured front N-1 statisticsIn cycle, corresponding N-1 group traffic flow parameter and the adjacent time period of described time to be measured are added up at NCorresponding traffic flow parameter in cycle; If described time period to be measured corresponding friendship in N measurement periodIn through-flow parameter and described front N-1 measurement period, corresponding N-1 organizes between the mean value of traffic flow parameterDifference in the first preset range, and described time period to be measured corresponding traffic in N measurement periodStream parameter and described difference between corresponding traffic flow parameter in N measurement period of adjacent time periodIn the second preset range, definite described time period to be measured is gathering around in sudden in N measurement periodStifled state. The embodiment of the present invention, in the time determining sudden congestion status, has considered the friendship of time period to be measuredThe traffic flow parameter of the adjacent time period of logical state, historical statistics information and time period to be measured, can find outDetermine sudden congestion status according to comparatively comprehensive, thereby for determining that from various dimensions sudden congestion status carriesSupply technical basis, and then ensured to determine the accuracy of sudden congestion status. By the way, energySudden the blocking up of enough identification in time, assists traffic administration person to take regulation measure timely, improves traffic resourceService efficiency.
For said method flow process, the embodiment of the present invention also provides a kind of device of determining sudden congestion status,The particular content of this device can be implemented with reference to said method.
A kind of structural representation of device of determining sudden congestion status that Fig. 2 provides for the embodiment of the present invention,This device comprises:
Acquisition module 201, for obtaining time period to be measured corresponding traffic behavior in N measurement period;Wherein, described traffic behavior be according to the section to be measured in the time period to be measured of obtaining in N measurement periodCorresponding traffic flow parameter is determined; N is positive integer;
Processing module 202, after determining that described traffic behavior is congestion status, obtains the described time to be measuredIn a Duan Qian N-1 measurement period, corresponding N-1 group traffic flow parameter and described time to be measured is adjacentTime period is corresponding traffic flow parameter in N measurement period;
Determination module 203, for judging described time period to be measured corresponding traffic flow in N measurement periodPoor in parameter and described front N-1 measurement period between the mean value of corresponding N-1 group traffic flow parameterDifferent in the first preset range, and corresponding traffic flow ginseng in N measurement period of described time period to be measuredNumber and the described adjacent time period in N measurement period the difference between corresponding traffic flow parameter secondIn situation in preset range, determine that the described time period to be measured gathering around in sudden in N measurement periodStifled state.
Preferably, the traffic flow parameter in the section to be measured in described each time period comprises: institute in this time periodState the average speed of the vehicle in described section to be measured in the flow, this time period of the vehicle in section to be measured, andThe occupation rate of the vehicle in described section to be measured in this time period; Wherein, the occupation rate of described vehicle is this timeIn section, the vehicle in described section to be measured takies total duration of predeterminated position point and the ratio of the duration of this time period;
Described determination module 203 specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period meets followingCondition:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured,QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage speed variance; OtFor the car in described time period described section to be measured in N measurement period to be measuredOccupation rate, OMt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of occupation rate, O σt' be that the described time period to be measured is described to be measured in a front N-1 measurement periodThe occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value.
Preferably, the described adjacent time period comprises previous time period and the rear time period of described time to be measured;
Described determination module 203 specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period at least meetsArbitrary condition below:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
Preferably, described determination module 203 also for:
According to described N-1 group traffic flow parameter, determine that the described time period to be measured is at a described front N-1 measurement periodThe initial average output value of interior traffic flow parameter and the initial variance of traffic flow parameter;
Delete the difference in described N-1 group traffic flow parameter and between the initial average output value of described traffic flow parameterDo not meet the abnormal traffic flow parameter of the 3rd preset range; Described the 3rd preset range is according to described traffic flowThe initial variance of parameter obtains;
According to the traffic flow parameter except described abnormal traffic flow parameter, obtain described front N-1 statistics weekThe mean value of corresponding N-1 group traffic flow parameter in phase.
Preferably, described determination module 203 specifically for:
Delete the abnormal traffic flow parameter that at least meets following arbitrary condition:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the vehicle in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial average output value of average speed, V σtDescribed in the described time period to be measured is in a front N-1 measurement period, treatSurvey the initial variance of the average speed of the vehicle in section; OtiFor the described time period to be measured is in i measurement periodThe occupation rate of the vehicle in described section to be measured, OMtFor the described time period to be measured is in a front N-1 measurement periodThe initial average output value of the occupation rate of the vehicle in described section to be measured, O σtFor the described time period to be measured is at front N-1The initial variance of the occupation rate of the vehicle in described section to be measured in individual measurement period; I is less than etc. for being more than or equal to 1In the integer of N-1, K1, K2, K3 are weighted value.
It can be seen from the above: in the above embodiment of the present invention, obtain the time period to be measured and unite at NCorresponding traffic behavior in the meter cycle, after determining that described traffic behavior is congestion status, obtains described to be measuredTime period corresponding N-1 in a front N-1 measurement period organizes traffic flow parameter and described time to be measuredCorresponding traffic flow parameter in N measurement period of adjacent time period; If the described time period to be measured is at NIn measurement period, in corresponding traffic flow parameter and described front N-1 measurement period, corresponding N-1 group is handed overDifference between the mean value of through-flow parameter in the first preset range, and the described time period to be measured unite at NIn the meter cycle, corresponding traffic flow parameter and described adjacent time period are corresponding in N measurement periodDifference between traffic flow parameter is in the second preset range, and definite described time period to be measured is uniting at NThe meter cycle is interior in sudden congestion status. The embodiment of the present invention is in the time determining sudden congestion status, comprehensiveTraffic behavior, historical statistics information and the adjacent time period of time period to be measured of time period to be measured are consideredTraffic flow parameter, can find out determine sudden congestion status according to comparatively comprehensive, thereby be from various dimensionsDetermine that sudden congestion status provides technical basis, and then ensured to determine the accurate of sudden congestion statusProperty. By the way, can identify in time sudden blocking up, assist traffic administration person to take to adjust timelyControl means, the service efficiency of raising traffic resource.
Those skilled in the art should understand, embodiments of the invention can be provided as method or computer journeyOrder product. Therefore, the present invention can adopt complete hardware implementation example, complete implement software example or in conjunction with softwareForm with the embodiment of hardware aspect. And the present invention can adopt at one or more meters that wherein includeThe computer-usable storage medium of calculation machine usable program code (include but not limited to magnetic disc store,CD-ROM, optical memory etc.) form of the upper computer program of implementing.
The present invention is that reference is according to the method for the embodiment of the present invention, equipment (system) and computer program productThe flow chart of product and/or block diagram are described. Should understand can be by computer program instructions realization flow figure and/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/Or the combination of square frame. Can provide these computer program instructions to all-purpose computer, special-purpose computer, embeddingThe processor of formula processor or other programmable data processing device, to produce a machine, makes by calculatingThe instruction that the processor of machine or other programmable data processing device is carried out produces for realizing at flow chart oneThe device of the function of specifying in square frame of individual flow process or multiple flow process and/or block diagram or multiple square frame.
These computer program instructions also can be stored in energy vectoring computer or other programmable data processing are establishedIn the standby computer-readable memory with ad hoc fashion work, make to be stored in this computer-readable memoryInstruction produce and comprise the manufacture of command device, this command device is realized in flow process or multiple of flow chartThe function of specifying in square frame of flow process and/or block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makeMust on computer or other programmable devices, carry out sequence of operations step to produce computer implemented placeReason, thus the instruction of carrying out on computer or other programmable devices is provided for realizing one of flow chartThe step of the function of specifying in square frame of flow process or multiple flow process and/or block diagram or multiple square frame.
Although described the preferred embodiments of the present invention, once those skilled in the art obtain cicada baseThis creative concept, can make other change and amendment to these embodiment. So appended right is wantedAsk and be intended to be interpreted as comprising preferred embodiment and fall into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various changes and modification and not depart from this present inventionBright spirit and scope. Like this, if of the present invention these amendment and modification belong to the claims in the present invention andWithin the scope of its equivalent technologies, the present invention be also intended to comprise these change and modification interior.
Claims (10)
1. a method of determining sudden congestion status, is characterized in that, the method comprises:
Obtain time period to be measured corresponding traffic behavior in N measurement period; Wherein, described traffic shapeState is according to the corresponding traffic flow ginseng in N measurement period of the section to be measured in the time period to be measured of obtainingNumber is determined; N is positive integer;
After determining that described traffic behavior is congestion status, obtain the described time period to be measured front N-1 statistics weekIn phase, corresponding N-1 group traffic flow parameter and the adjacent time period of described time to be measured are in N statistics weekCorresponding traffic flow parameter in phase;
If the described time period to be measured in N measurement period corresponding traffic flow parameter and described front N-1Difference in measurement period between the mean value of corresponding N-1 group traffic flow parameter in the first preset range,And described time period to be measured corresponding traffic flow parameter and described adjacent time period in N measurement period existDifference in N measurement period between corresponding traffic flow parameter, in the second preset range, is determined instituteState the time period to be measured in N measurement period in sudden congestion status.
2. the method for claim 1, is characterized in that, the road to be measured in described each time periodThe traffic flow parameter of section comprises: institute in the flow of the vehicle in described section to be measured, this time period in this time periodState the average speed of the vehicle in section to be measured, and the occupation rate of the vehicle in interior described section to be measured of this time period;Wherein, the occupation rate of described vehicle is that in this time period, the vehicle in described section to be measured takies predeterminated position pointThe ratio of total duration and the duration of this time period;
The described time period to be measured is corresponding traffic flow parameter and described front N-1 system in N measurement periodDifference in the meter cycle between the mean value of corresponding N-1 group traffic flow parameter in the first preset range,Comprise:
Described time period to be measured corresponding traffic flow parameter in N measurement period meets following condition:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured, QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage speed variance; OtFor the car in described time period described section to be measured in N measurement period to be measuredOccupation rate, OMt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of occupation rate, O σt' be that the described time period to be measured is described to be measured in a front N-1 measurement periodThe occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value.
3. method as claimed in claim 2, is characterized in that, the described adjacent time period comprises described to be measuredThe previous time period of time and a rear time period;
The described time period to be measured is corresponding traffic flow parameter and described adjacent time period in N measurement periodDifference in N measurement period between corresponding traffic flow parameter, in the second preset range, comprising:
Described time period to be measured corresponding traffic flow parameter in N measurement period at least meets following arbitraryCondition:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
4. method as claimed in claim 2, is characterized in that, in a described front N-1 measurement period, institute is rightThe mean value of the N-1 group traffic flow parameter of answering obtains in the following manner:
According to described N-1 group traffic flow parameter, determine that the described time period to be measured is at a described front N-1 measurement periodThe initial average output value of interior traffic flow parameter and the initial variance of traffic flow parameter;
Delete the difference in described N-1 group traffic flow parameter and between the initial average output value of described traffic flow parameterDo not meet the abnormal traffic flow parameter of the 3rd preset range; Described the 3rd preset range is according to described traffic flowThe initial variance of parameter obtains;
According to the traffic flow parameter except described abnormal traffic flow parameter, obtain described front N-1 statistics weekThe mean value of corresponding N-1 group traffic flow parameter in phase.
5. method as claimed in claim 4, is characterized in that, initial average with described traffic flow parameterThe abnormal traffic flow parameter that difference between value does not meet the 3rd preset range at least meets following arbitrary condition:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the vehicle in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial average output value of average speed, V σtDescribed in the described time period to be measured is in a front N-1 measurement period, treatSurvey the initial variance of the average speed of the vehicle in section; OtiFor the described time period to be measured is in i measurement periodThe occupation rate of the vehicle in described section to be measured, OMtFor the described time period to be measured is in a front N-1 measurement periodThe initial average output value of the occupation rate of the vehicle in described section to be measured, O σtFor the described time period to be measured is at front N-1The initial variance of the occupation rate of the vehicle in described section to be measured in individual measurement period; I is less than etc. for being more than or equal to 1In the integer of N-1, K1, K2, K3 are weighted value.
6. a device of determining sudden congestion status, is characterized in that, this device comprises:
Acquisition module, for obtaining time period to be measured corresponding traffic behavior in N measurement period; ItsIn, described traffic behavior is according to the section to be measured institute in N measurement period in the time period to be measured of obtainingCorresponding traffic flow parameter is determined; N is positive integer;
Processing module, after determining that described traffic behavior is congestion status, obtains the described time period to be measured to existCorresponding N-1 group traffic flow parameter and the adjacent time of described time to be measured in a front N-1 measurement periodCorresponding traffic flow parameter in Duan N measurement period;
Determination module, for judging corresponding traffic flow ginseng in N measurement period of described time period to be measuredDifference in number and described front N-1 measurement period between the mean value of corresponding N-1 group traffic flow parameterIn the first preset range, and described time period to be measured corresponding traffic flow parameter in N measurement periodAnd described difference between corresponding traffic flow parameter in N measurement period of adjacent time period is pre-secondIf in the situation in scope, determine that the described time period to be measured blocking up in sudden in N measurement periodState.
7. device as claimed in claim 6, is characterized in that, the road to be measured in described each time periodThe traffic flow parameter of section comprises: institute in the flow of the vehicle in described section to be measured, this time period in this time periodState the average speed of the vehicle in section to be measured, and the occupation rate of the vehicle in interior described section to be measured of this time period;Wherein, the occupation rate of described vehicle is that in this time period, the vehicle in described section to be measured takies predeterminated position pointThe ratio of total duration and the duration of this time period;
Described determination module specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period meets followingCondition:
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of described time period vehicle in described section to be measured in N measurement period to be measured,QMt' be flow flat of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage, Q σt' be the stream of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredAmount variance; VtFor the average speed of the vehicle in described time period described section to be measured in N measurement period to be measuredDegree, VMt' be vehicle average in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of speed, V σt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredAverage speed variance; OtFor the car in described time period described section to be measured in N measurement period to be measuredOccupation rate, OMt' be the car in described section to be measured in a front N-1 measurement period of described time period to be measuredThe mean value of occupation rate, O σt' be that the described time period to be measured is described to be measured in a front N-1 measurement periodThe occupation rate variance of the vehicle in section; P1, P2, P3 are weighted value.
8. device as claimed in claim 7, is characterized in that, the described adjacent time period comprises described to be measuredThe previous time period of time and a rear time period;
Described determination module specifically for:
Judge whether described time period to be measured corresponding traffic flow parameter in N measurement period at least meetsArbitrary condition below:
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2，Vt-Vt+1>E3，Qt-1-Qt>E4，Qt-Qt+1>E5；
Wherein, Vt-1Flat for the vehicle in described previous time period described section to be measured in N measurement periodAll speed, Vt+1Average for the vehicle in time period described section to be measured in N measurement period after describedSpeed, Qt-1For the flow of described previous time period vehicle in described section to be measured in N measurement period,Qt+1For the flow of time period vehicle in described section to be measured in N measurement period after described,E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is greater than E2.
9. device as claimed in claim 6, is characterized in that, described determination module also for:
According to described N-1 group traffic flow parameter, determine that the described time period to be measured is at a described front N-1 measurement periodThe initial average output value of interior traffic flow parameter and the initial variance of traffic flow parameter;
Delete the difference in described N-1 group traffic flow parameter and between the initial average output value of described traffic flow parameterDo not meet the abnormal traffic flow parameter of the 3rd preset range; Described the 3rd preset range is according to described traffic flowThe initial variance of parameter obtains;
According to the traffic flow parameter except described abnormal traffic flow parameter, obtain described front N-1 statistics weekThe mean value of corresponding N-1 group traffic flow parameter in phase.
10. device as claimed in claim 9, is characterized in that, described determination module specifically for:
Delete the abnormal traffic flow parameter that at least meets following arbitrary condition:
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of described time period vehicle in described section to be measured in i measurement period to be measured,QMtAt the beginning of the flow of vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredBeginning mean value, Q σtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial variance of flow; VtiFor the vehicle in described time period described section to be measured in i measurement period to be measuredAverage speed, VMtFor the vehicle in described section to be measured in a front N-1 measurement period of described time period to be measuredThe initial average output value of average speed, V σtDescribed in the described time period to be measured is in a front N-1 measurement period, treatSurvey the initial variance of the average speed of the vehicle in section; OtiFor the described time period to be measured is in i measurement periodThe occupation rate of the vehicle in described section to be measured, OMtFor the described time period to be measured is in a front N-1 measurement periodThe initial average output value of the occupation rate of the vehicle in described section to be measured, O σtFor the described time period to be measured is at front N-1The initial variance of the occupation rate of the vehicle in described section to be measured in individual measurement period; I is less than etc. for being more than or equal to 1In the integer of N-1, K1, K2, K3 are weighted value.
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| CN111243265A (en) * | 2018-11-28 | 2020-06-05 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining regional traffic information |
| US10896604B2 (en) | 2018-11-28 | 2021-01-19 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for determining traffic information of a region |
| CN111105618A (en) * | 2019-12-30 | 2020-05-05 | 北京中交兴路车联网科技有限公司 | Method and system for judging parking state of vehicle on highway |
| CN111081030B (en) * | 2019-12-30 | 2021-03-26 | 北京中交兴路车联网科技有限公司 | Method and system for judging traffic jam on expressway |
| CN111105618B (en) * | 2019-12-30 | 2021-06-15 | 北京中交兴路车联网科技有限公司 | Method and system for judging parking state of vehicle on highway |
| CN111081030A (en) * | 2019-12-30 | 2020-04-28 | 北京中交兴路车联网科技有限公司 | Method and system for judging traffic jam on expressway |
| CN112509326A (en) * | 2020-12-02 | 2021-03-16 | 北京航空航天大学 | Non-periodic congestion detection method based on generalized extreme value T distribution deviation |
| CN112509326B (en) * | 2020-12-02 | 2021-12-10 | 北京航空航天大学 | Non-periodic congestion detection method based on generalized extreme value T distribution deviation |
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Inventor after: Liu Xueli Inventor after: Gao Lin Inventor after: Feng Yuanhong Inventor after: Han Shuliang Inventor before: Gao Lin Inventor before: Feng Yuanhong Inventor before: Han Shuliang |