CN105608894B - A kind of method and device for determining sudden congestion status - Google Patents

A kind of method and device for determining sudden congestion status Download PDF

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Publication number
CN105608894B
CN105608894B CN201610112029.8A CN201610112029A CN105608894B CN 105608894 B CN105608894 B CN 105608894B CN 201610112029 A CN201610112029 A CN 201610112029A CN 105608894 B CN105608894 B CN 105608894B
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measured
period
section
vehicle
measurement
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CN105608894A (en
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高林
冯远宏
韩书亮
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Qingdao Hisense Network Technology Co Ltd
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Qingdao Hisense Network Technology Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation

Abstract

The embodiment of the invention discloses a kind of method and device for determining sudden congestion status.In the embodiment of the present invention, obtain traffic behavior of the period to be measured corresponding in N measurement periods, determine traffic behavior for after congestion status, according to the period to be measured, the traffic flow parameter of 1 group of traffic flow parameter of N corresponding in preceding 1 measurement period of N and the time adjacent segments of period to be measured corresponding in N measurement periods, determines whether the period to be measured is in sudden congestion status in N measurement periods.The embodiment of the present invention is it is determined that during sudden congestion status, the traffic flow parameter of the traffic behavior of period to be measured, historical statistical information and the time adjacent segments of period to be measured is considered, according to more comprehensive, to determine that sudden congestion status provides technical basis from various dimensions, ensure to determine the accuracy of sudden congestion status.And sudden congestion can be identified in time, improve the service efficiency of traffic resource.

Description

A kind of method and device for determining sudden congestion status
Technical field
The present invention relates to technical field of intelligent traffic, more particularly to a kind of method and dress for determining sudden congestion status Put.
Background technology
With rapid development of economy, the number extreme expansion of China's vehicle, in the bar that path area does not expand accordingly Under part, traffic congestion is as one of greatest problem of all city management.Under normal circumstances, can rule of thumb, it is determined that setting out The time of raw traffic congestion, for example, working peak period and next peak period easily cause traffic congestion, so as to the height that is on duty Peak phase or next peak period take appropriate measures to alleviate traffic jam issue.
However, in traffic congestion, sudden congestion is a kind of special congestion status, and sudden congestion time of origin is not It is fixed, such as because burst traffic accident causes wagon flow not smooth and is formed, therefore, sudden congestion has contingency, Wu Fagen Determined according to experience.If sudden congestion can not accurately and timely be determined, traffic administration person can be caused can not to take in time Regulation measure, and then can not solve sudden congestion in time, and easily cause economic loss.
Therefore, a kind of method for determining sudden congestion, for timely and accurately identifying sudden congestion, association are needed badly at present Help traffic administration person to take timely regulation measure, improve the service efficiency of traffic resource.
The content of the invention
The embodiment of the present invention provides a kind of method and device for determining sudden congestion status, for timely and accurately identifying Sudden congestion, assist traffic administration person to take timely regulation measure, improve the service efficiency of traffic resource.
A kind of method for determining sudden congestion status provided in an embodiment of the present invention, including：
Obtain traffic behavior of the period to be measured corresponding in N measurement periods；Wherein, the traffic behavior is basis Traffic flow parameter of the section to be measured in period to be measured obtained corresponding in N measurement periods determines；N is just whole Number；
It is acquisition period to be measured institute in preceding N-1 measurement period after congestion status to determine the traffic behavior The traffic of corresponding N-1 groups traffic flow parameter and the time adjacent segments of the time to be measured corresponding in N measurement periods Flow parameter；
If the period to be measured traffic flow parameter corresponding in N measurement periods and the preceding N-1 statistics week Difference in phase between the average value of corresponding N-1 group traffic flow parameters is in the first preset range, and the time to be measured The corresponding traffic flow parameter friendship corresponding in N measurement periods with the time adjacent segments in Duan N measurement periods Difference between through-flow parameter is in the second preset range, it is determined that the period to be measured is in N measurement periods Sudden congestion status.
It is preferred that the traffic flow parameter in the section to be measured in each period includes：It is described to be measured in the period The flow of the vehicle in section, in the period vehicle in the section to be measured average speed, and described in the period treat Survey the occupation rate of the vehicle in section；Wherein, the occupation rate of the vehicle is that the vehicle in the section to be measured in the period takes The total duration of predeterminated position point and the ratio of the duration of the period；
The period to be measured traffic flow parameter corresponding in N measurement periods and the preceding N-1 measurement period Difference between the average value of interior corresponding N-1 group traffic flow parameters in the first preset range, including：
Traffic flow parameter of the period to be measured corresponding in N measurement periods meets following condition：
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' be The average value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described The flow variance of period to be measured vehicle in the section to be measured in preceding N-1 measurement period；VtFor the period to be measured The average speed of the vehicle in the section to be measured, VM in N measurement periodst' counted for the period to be measured at first N-1 The average value of the average speed of the vehicle in the section to be measured, V σ in cyclet' counted for the period to be measured at first N-1 The average speed variance of the vehicle in the section to be measured in cycle；OtFor the period to be measured in N measurement periods it is described The occupation rate of the vehicle in section to be measured, OMt' it is the period to be measured section to be measured in preceding N-1 measurement period The average value of the occupation rate of vehicle, O σt' for the period to be measured the section to be measured in preceding N-1 measurement period car Occupation rate variance；P1, P2, P3 are weighted value.
It is preferred that the time adjacent segments include the previous time period and latter time period of the time to be measured；
Traffic flow parameter of the period to be measured corresponding in N measurement periods is with the time adjacent segments in N Difference in measurement period between corresponding traffic flow parameter in the second preset range, including：
Traffic flow parameter of the period to be measured corresponding in N measurement periods at least conforms to following either 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-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For the average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1To be described previous The flow of period vehicle in the section to be measured in N measurement periods, Qt+1For the latter time period week is counted in N The flow of the vehicle in the section to be measured in phase, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
It is preferred that the average value of N-1 group traffic flow parameters corresponding in the preceding N-1 measurement period passes through with lower section Formula obtains：
According to the N-1 groups traffic flow parameter, the period to be measured traffic in the preceding N-1 measurement period is determined Flow the initial average output value of parameter and the initial variance of traffic flow parameter；
The difference in the N-1 groups traffic flow parameter between the initial average output value of the traffic flow parameter is deleted not meet The abnormal traffic flow parameter of 3rd preset range；3rd preset range is obtained according to the initial variance of the traffic flow parameter Arrive；
According to the traffic flow parameter in addition to the abnormal traffic flow parameter, institute in the preceding N-1 measurement period is obtained The average value of corresponding N-1 groups traffic flow parameter.
It is preferred that the difference between the initial average output value of the traffic flow parameter does not meet the exception of the 3rd preset range Traffic flow parameter at least conforms to following either condition：
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtFor The initial average output value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtFor institute State the initial variance of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiTreated to be described Survey the average speed of period vehicle in the section to be measured in the i-th measurement period, VMtIt it is the period to be measured in preceding N- The initial average output value of the average speed of the vehicle in the section to be measured, V σ in 1 measurement periodtIt it is the period to be measured preceding The initial variance of the average speed of the vehicle in the section to be measured in N-1 measurement period；OtiIt it is the period to be measured i-th The occupation rate of the vehicle in the section to be measured, OM in measurement periodtFor the period to be measured in preceding N-1 measurement period institute State the initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period institute State the initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are power Weight values.
A kind of device for determining sudden congestion status provided in an embodiment of the present invention, the device include：
Acquisition module, for obtaining period to be measured traffic behavior corresponding in N measurement periods；Wherein, it is described Traffic behavior is that the traffic flow parameter corresponding in N measurement periods of the section to be measured in the period to be measured according to acquisition is true Fixed；N is positive integer；
Processing module, for determining the traffic behavior for after congestion status, the acquisition period to be measured is at preceding N-1 Corresponding N-1 groups traffic flow parameter and the time adjacent segments of the time to be measured are in N measurement periods in measurement period Corresponding traffic flow parameter；
Determining module, for judging the period to be measured traffic flow parameter corresponding in N measurement periods and institute The difference between the average value of N-1 group traffic flow parameters corresponding in preceding N-1 measurement period is stated in the first preset range, And the period to be measured traffic flow parameter corresponding in N measurement periods and the time adjacent segments are all in N statistics In the case that difference in phase between corresponding traffic flow parameter is in the second preset range, determine that the period to be measured exists Sudden congestion status is in N measurement periods.
It is preferred that the traffic flow parameter in the section to be measured in each period includes：It is described to be measured in the period The flow of the vehicle in section, in the period vehicle in the section to be measured average speed, and described in the period treat Survey the occupation rate of the vehicle in section；Wherein, the occupation rate of the vehicle is that the vehicle in the section to be measured in the period takes The total duration of predeterminated position point and the ratio of the duration of the period；
The determining module is specifically used for：
Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods meets following condition：
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' be The average value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described The flow variance of period to be measured vehicle in the section to be measured in preceding N-1 measurement period；VtFor the period to be measured The average speed of the vehicle in the section to be measured, VM in N measurement periodst' counted for the period to be measured at first N-1 The average value of the average speed of the vehicle in the section to be measured, V σ in cyclet' counted for the period to be measured at first N-1 The average speed variance of the vehicle in the section to be measured in cycle；OtFor the period to be measured in N measurement periods it is described The occupation rate of the vehicle in section to be measured, OMt' it is the period to be measured section to be measured in preceding N-1 measurement period The average value of the occupation rate of vehicle, O σt' for the period to be measured the section to be measured in preceding N-1 measurement period car Occupation rate variance；P1, P2, P3 are weighted value.
It is preferred that the time adjacent segments include the previous time period and latter time period of the time to be measured；
The determining module is specifically used for：
Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods at least conforms to following One 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-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For the average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1To be described previous The flow of period vehicle in the section to be measured in N measurement periods, Qt+1For the latter time period week is counted in N The flow of the vehicle in the section to be measured in phase, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
It is preferred that the determining module is additionally operable to：
According to the N-1 groups traffic flow parameter, the period to be measured traffic in the preceding N-1 measurement period is determined Flow the initial average output value of parameter and the initial variance of traffic flow parameter；
The difference in the N-1 groups traffic flow parameter between the initial average output value of the traffic flow parameter is deleted not meet The abnormal traffic flow parameter of 3rd preset range；3rd preset range is obtained according to the initial variance of the traffic flow parameter Arrive；
According to the traffic flow parameter in addition to the abnormal traffic flow parameter, institute in the preceding N-1 measurement period is obtained The average value of corresponding N-1 groups traffic flow parameter.
It is preferred that the determining module is specifically used for：
Delete the abnormal traffic flow parameter at least conforming to following either condition：
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtFor The initial average output value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtFor institute State the initial variance of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiTreated to be described Survey the average speed of period vehicle in the section to be measured in the i-th measurement period, VMtIt it is the period to be measured in preceding N- The initial average output value of the average speed of the vehicle in the section to be measured, V σ in 1 measurement periodtIt it is the period to be measured preceding The initial variance of the average speed of the vehicle in the section to be measured in N-1 measurement period；OtiIt it is the period to be measured i-th The occupation rate of the vehicle in the section to be measured, OM in measurement periodtFor the period to be measured in preceding N-1 measurement period institute State the initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period institute State the initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are power Weight values.
In the above embodiment of the present invention, traffic behavior of the period to be measured corresponding in N measurement periods is obtained, really The fixed traffic behavior is N-1 group of the acquisition period to be measured corresponding in preceding N-1 measurement period after congestion status The traffic flow parameter of traffic flow parameter and the time adjacent segments of the time to be measured corresponding in N measurement periods；If institute State corresponding in traffic flow parameter and the preceding N-1 measurement period of the period to be measured corresponding in N measurement periods Difference between the average value of N-1 group traffic flow parameters is in the first preset range, and the period to be measured counts week in N In phase between the traffic flow parameter of corresponding traffic flow parameter and the time adjacent segments corresponding in N measurement periods Difference is in the second preset range, it is determined that the period to be measured is being in sudden congestion status in N measurement periods. The embodiment of the present invention has considered traffic behavior, the historical statistics letter of period to be measured it is determined that during sudden congestion status The traffic flow parameter of breath and the time adjacent segments of period to be measured, it can be seen that determine the foundation of sudden congestion status more Comprehensively, thus to determine that sudden congestion status provides technical basis from various dimensions, and then it ensure that and determine sudden congestion The accuracy of state.The embodiment of the present invention by the above-mentioned means, sudden congestion can be identified in time using data mining technology, Assist traffic administration person to take timely regulation measure, improve the service efficiency of traffic resource.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings His accompanying drawing.
Fig. 1 is a kind of method schematic diagram for determining sudden congestion status provided in an embodiment of the present invention；
Fig. 2 is a kind of structural representation of device for determining sudden congestion status provided in an embodiment of the present invention.
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made below in conjunction with accompanying drawing into One step it is described in detail, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole implementation Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made All other embodiment, belongs to the scope of protection of the invention.
Fig. 1 shows a kind of method for determining sudden congestion status provided in an embodiment of the present invention, comprises the following steps：
Step 101, traffic behavior of the period to be measured corresponding in N measurement periods is obtained；Wherein, the traffic shape State is that the traffic flow parameter corresponding in N measurement periods of the section to be measured in the period to be measured according to acquisition determines；N For positive integer；
Step 102, the traffic behavior is determined after congestion status, to obtain the period to be measured in first N-1 statistics Corresponding N-1 groups traffic flow parameter and the time adjacent segments of the time to be measured institute in N measurement periods are right in cycle The traffic flow parameter answered；
Step 103, if the period to be measured traffic flow parameter corresponding in N measurement periods and the preceding N-1 Difference in individual measurement period between the average value of corresponding N-1 group traffic flow parameters is and described in the first preset range Traffic flow parameter of the period to be measured corresponding in N measurement periods and time adjacent segments institute in N measurement periods Difference between corresponding traffic flow parameter is in the second preset range, it is determined that the period to be measured is counting week in N Sudden congestion status is in phase.
The embodiment of the present invention it is determined that during sudden congestion status, is considering period traffic behavior to be measured, history The traffic flow parameter of statistical information and the surrounding time section of period to be measured, it can be seen that determine sudden congestion status according to According to more comprehensively, thus for determining that sudden congestion status provides technical basis from various dimensions, and then it ensure that determination happens suddenly The accuracy of property congestion status.The embodiment of the present invention using data mining technology by the above-mentioned means, can identify burst in time Property congestion, assist traffic administration person take timely regulation measure, improve the service efficiency of traffic resource.
In the embodiment of the present invention, traffic behavior can have a variety of dividing modes, such as, it is respectively smooth traffic behavior can be preset Three states such as logical, jogging and congestion, respectively idle traffic behavior, unimpeded, jogging can also be preset, speed is slower than walking or drive slowly Five states of jogging and congestion etc..In the embodiment of the present invention, highest level is congestion in default traffic behavior, this Inventive embodiments are not particularly limited to specifically how to be made a distinction to traffic behavior.
In the embodiment of the present invention, the traffic flow parameter in the section to be measured in each period can include it is following any one Or any combination：The flow of the vehicle in section to be measured in the period, in the period vehicle in section to be measured average speed, And in the period vehicle in section to be measured occupation rate；Wherein, the occupation rate of vehicle is section to be measured in the period Vehicle takes the ratio of the total duration of predeterminated position point and the duration of the period.More all-sidedly and accurately to reflect traffic shape State, in terms of preferably traffic flow parameter includes above three in the embodiment of the present invention.
A measurement period can be one day in the embodiment of the present invention, or be a period in one day, such as, one Individual measurement period is 10 points to 18 points in one day.
Specifically, so that a measurement period is one day as an example, every 10 minutes in one day are a period.It can be seen that Include multiple periods in one measurement period.It is introduced by taking a period in multiple periods as an example, passes through equipment Measure the flow of vehicle on section to be measured in the period；The speed of each vehicle on section to be measured in the period is measured, it The average speed of the vehicle in the period is calculated afterwards；One inductor is set at predeterminated position point, if automobile passes through The predeterminated position point, then automobile is obtained by the inductor and pass through the duration of the predeterminated position point, and then calculate the period Interior all vehicles pass through the total duration of the predeterminated position point, and use the total duration divided by the duration of the period 10 minutes, institute Obtained value is the occupation rate of the vehicle in section to be measured in the period.
In the embodiment of the present invention, the period to be measured can be any in the multiple periods included in a measurement period It is individual.According to the division of measurement period, the time adjacent segments of period to be measured can be the previous time period of period to be measured or treat The latter time period of period is surveyed, or can also be the previous time period and latter time period of period to be measured.Specifically, if One measurement period is 10 points to 18 points in one day, then for first period of a measurement period, i.e., 10:00-10: 10 this period, its time adjacent segments be the period latter time period, i.e., 10:10-10:20, and without previous time period； For last period of a measurement period, i.e., 17:50-18:00 this period, its time adjacent segments are the time The previous time period of section, i.e., 17:40-17:50, and without latter time period；And for except above-mentioned first period and last Other time section outside the individual period, its time adjacent segments can be the previous time period and latter time period of the period.
The embodiment of the present invention in a step 102, determines traffic behavior after congestion status, to obtain the period to be measured in preceding N- Corresponding N-1 group traffic flow parameters, due to statistical error and some other influence factors, are obtained in 1 measurement period There may be some obvious abnormal traffic flow parameters for not meeting normal condition in the preceding N-1 groups traffic flow parameter got.This Inventive embodiments determine period to be measured traffic flow parameter in the preceding N-1 measurement period according to N-1 group traffic flow parameters Initial average output value and traffic flow parameter initial variance, and by N-1 group traffic flow parameters with the traffic flow parameter The traffic flow parameter that difference between initial average output value does not meet the 3rd preset range is defined as abnormal traffic flow parameter.Usual feelings Under condition, abnormal traffic flow parameter refers to the traffic flow parameter to differ greatly between the initial average output value of traffic flow parameter.Its In, the 3rd preset range can be the scope that those skilled in the art pre-set according to the initial variance of traffic flow parameter.
Specifically, the traffic flow parameter at least conforming to following either condition is defined as abnormal traffic in the embodiment of the present invention Flow parameter：
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtFor The initial average output value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtFor institute State the initial variance of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiTreated to be described Survey the average speed of period vehicle in the section to be measured in the i-th measurement period, VMtIt it is the period to be measured in preceding N- The initial average output value of the average speed of the vehicle in the section to be measured, V σ in 1 measurement periodtIt it is the period to be measured preceding The initial variance of the average speed of the vehicle in the section to be measured in N-1 measurement period；OtiIt it is the period to be measured i-th The occupation rate of the vehicle in the section to be measured, OM in measurement periodtFor the period to be measured in preceding N-1 measurement period institute State the initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period institute State the initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are power Weight values, can rule of thumb it be set by those skilled in the art.
In step 103 of the embodiment of the present invention, it is determined that traffic behavior be congestion status on the basis of, if the period to be measured is same When meet following two aspects, then can determine that the period to be measured is in sudden congestion status in N measurement periods：First party Face, period to be measured traffic flow parameter corresponding in N measurement periods with the preceding N-1 measurement period corresponding to Difference between the average value of N-1 group traffic flow parameters is in the first preset range；Second aspect, period to be measured unite in N Count traffic flow parameter corresponding in the cycle traffic flow parameter corresponding in N measurement periods with the time adjacent segments it Between difference in the second preset range.Wherein, the first preset range and the second preset range can be by those skilled in the art Rule of thumb set.
Be directed in a first aspect, period specially to be measured traffic flow parameter corresponding in N measurement periods simultaneously Meet following condition：
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' be The average value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described The flow variance of period to be measured vehicle in the section to be measured in preceding N-1 measurement period；VtFor the period to be measured The average speed of the vehicle in the section to be measured, VM in N measurement periodst' counted for the period to be measured at first N-1 The average value of the average speed of the vehicle in the section to be measured, V σ in cyclet' counted for the period to be measured at first N-1 The average speed variance of the vehicle in the section to be measured in cycle；OtFor the period to be measured in N measurement periods it is described The occupation rate of the vehicle in section to be measured, OMt' it is the period to be measured section to be measured in preceding N-1 measurement period The average value of the occupation rate of vehicle, O σt' for the period to be measured the section to be measured in preceding N-1 measurement period car Occupation rate variance；P1, P2, P3 are weighted value, can rule of thumb be set by those skilled in the art.
Specifically, above-mentioned condition is the traffic flow parameter and first N-1 statistics in N measurement periods by the period to be measured Traffic flow parameter average value in cycle is compared, if period to be measured vehicle in section to be measured in N measurement periods Flow is much larger than the average value of the flow of the vehicle in section to be measured in preceding N-1 measurement period, and the period to be measured counts in N Average speed of the average speed of the vehicle in section to be measured much smaller than the vehicle in section to be measured in preceding N-1 measurement period in cycle Average value, and, the occupation rate of period vehicle in section to be measured in N measurement periods to be measured counts much larger than first N-1 The average value of the occupation rate of the vehicle in section to be measured in cycle, then illustrate traffic flow of the period to be measured in N measurement periods Parameter has larger gap with average value, and largely shows that the period to be measured, section to be measured could in N measurement periods Sudden congestion status can be in.
To cause the differentiation of sudden congestion more accurate, second aspect need to be judged.If specifically, adjacent time Section includes the previous time period and latter time period of the time to be measured, then is directed to second condition, is the period to be measured in N Corresponding traffic flow parameter at least conforms to following either condition in measurement period：
(1)Vt-1-Vt>E1；
(2)Vt-1-Vt>E2, Vt-Vt+1>E3, Qt-1-Qt>E4, Qt-Qt+1>E5；
Wherein, Vt-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For the average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1To be described previous The flow of period vehicle in the section to be measured in N measurement periods, Qt+1For the latter time period week is counted in N The flow of the vehicle in the section to be measured in phase, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
In the embodiment of the present invention, above-mentioned condition (2) can also rule of thumb be added by those skilled in the art with actual conditions The formula that should meet added with pass occupation rate.Due to according to finding that the influence of occupation rate is smaller through actual measured results, can be neglected not Meter, therefore the embodiment of the present invention is further improves the efficiency judged, preferably above-mentioned condition (2) relates only to flow peace average rate Degree, and temporarily occupation rate is not considered.
If it should be noted that one in time adjacent segments only previous time period and latter time period including the time to be measured It is individual, then accommodation can be done to above-mentioned condition (2).For example, if time adjacent segments only include the previous time period of time to be measured, Then above-mentioned condition (2) is then changed into：Vt-1-Vt>E2, Qt-1-Qt>E4；If time adjacent segments only include the latter time of time to be measured Section, then above-mentioned condition (2) is then changed into：Vt-Vt+1>E3, Qt-Qt+1>E5。
In the above embodiment of the present invention, traffic behavior of the period to be measured corresponding in N measurement periods is obtained, really The fixed traffic behavior is N-1 group of the acquisition period to be measured corresponding in preceding N-1 measurement period after congestion status The traffic flow parameter of traffic flow parameter and the time adjacent segments of the time to be measured corresponding in N measurement periods；If institute State corresponding in traffic flow parameter and the preceding N-1 measurement period of the period to be measured corresponding in N measurement periods Difference between the average value of N-1 group traffic flow parameters is in the first preset range, and the period to be measured counts week in N In phase between the traffic flow parameter of corresponding traffic flow parameter and the time adjacent segments corresponding in N measurement periods Difference is in the second preset range, it is determined that the period to be measured is being in sudden congestion status in N measurement periods. The embodiment of the present invention has considered traffic behavior, the historical statistics letter of period to be measured it is determined that during sudden congestion status The traffic flow parameter of breath and the time adjacent segments of period to be measured, it can be seen that determine the foundation of sudden congestion status more Comprehensively, thus to determine that sudden congestion status provides technical basis from various dimensions, and then it ensure that and determine sudden congestion The accuracy of state.By the above-mentioned means, sudden congestion can be identified in time, traffic administration person is assisted to take timely to regulate and control Measure, improve the service efficiency of traffic resource.
For above method flow, the embodiment of the present invention also provides a kind of device for determining sudden congestion status, the dress The particular content put is referred to above method implementation.
Fig. 2 is a kind of structural representation of device for determining sudden congestion status provided in an embodiment of the present invention, the dress Put including：
Acquisition module 201, for obtaining period to be measured traffic behavior corresponding in N measurement periods；Wherein, institute It is traffic flow parameter of the section to be measured corresponding in N measurement periods in the period to be measured according to acquisition to state traffic behavior Determine；N is positive integer；
Processing module 202, for determining the traffic behavior for after congestion status, the acquisition period to be measured is in preceding N- Corresponding N-1 groups traffic flow parameter and the time adjacent segments of the time to be measured are in N measurement periods in 1 measurement period Interior corresponding traffic flow parameter；
Determining module 203, for judge the period to be measured traffic flow parameter corresponding in N measurement periods with Difference in the preceding N-1 measurement period between the average value of corresponding N-1 group traffic flow parameters is in the first preset range It is interior, and the period to be measured corresponding traffic flow parameter and time adjacent segments in N measurement periods count in N In the case that difference in cycle between corresponding traffic flow parameter is in the second preset range, the period to be measured is determined Sudden congestion status is being in N measurement periods.
It is preferred that the traffic flow parameter in the section to be measured in each period includes：It is described to be measured in the period The flow of the vehicle in section, in the period vehicle in the section to be measured average speed, and described in the period treat Survey the occupation rate of the vehicle in section；Wherein, the occupation rate of the vehicle is that the vehicle in the section to be measured in the period takes The total duration of predeterminated position point and the ratio of the duration of the period；
The determining module 203 is specifically used for：
Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods meets following condition：
(1)Qt-QMt′>P1*Qσt′；
(2)VMt′-Vt>P2*Vσt′；
(3)Ot-OMt′>P3*Oσt′；
Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' be The average value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described The flow variance of period to be measured vehicle in the section to be measured in preceding N-1 measurement period；VtFor the period to be measured The average speed of the vehicle in the section to be measured, VM in N measurement periodst' counted for the period to be measured at first N-1 The average value of the average speed of the vehicle in the section to be measured, V σ in cyclet' counted for the period to be measured at first N-1 The average speed variance of the vehicle in the section to be measured in cycle；OtFor the period to be measured in N measurement periods it is described The occupation rate of the vehicle in section to be measured, OMt' it is the period to be measured section to be measured in preceding N-1 measurement period The average value of the occupation rate of vehicle, O σt' for the period to be measured the section to be measured in preceding N-1 measurement period car Occupation rate variance；P1, P2, P3 are weighted value.
It is preferred that the time adjacent segments include the previous time period and latter time period of the time to be measured；
The determining module 203 is specifically used for：
Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods at least conforms to following One 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-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For the average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1To be described previous The flow of period vehicle in the section to be measured in N measurement periods, Qt+1For the latter time period week is counted in N The flow of the vehicle in the section to be measured in phase, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
It is preferred that the determining module 203 is additionally operable to：
According to the N-1 groups traffic flow parameter, the period to be measured traffic in the preceding N-1 measurement period is determined Flow the initial average output value of parameter and the initial variance of traffic flow parameter；
The difference in the N-1 groups traffic flow parameter between the initial average output value of the traffic flow parameter is deleted not meet The abnormal traffic flow parameter of 3rd preset range；3rd preset range is obtained according to the initial variance of the traffic flow parameter Arrive；
According to the traffic flow parameter in addition to the abnormal traffic flow parameter, institute in the preceding N-1 measurement period is obtained The average value of corresponding N-1 groups traffic flow parameter.
It is preferred that the determining module 203 is specifically used for：
Delete the abnormal traffic flow parameter at least conforming to following either condition：
(1)|Qti-QMt|≥K1·Qσt；
(2)|Vti-VMt|≥K2·Vσt；
(3)|Oti-OMt|≥K3·Oσt；
Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtFor The initial average output value of the period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtFor institute State the initial variance of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiTreated to be described Survey the average speed of period vehicle in the section to be measured in the i-th measurement period, VMtIt it is the period to be measured in preceding N- The initial average output value of the average speed of the vehicle in the section to be measured, V σ in 1 measurement periodtIt it is the period to be measured preceding The initial variance of the average speed of the vehicle in the section to be measured in N-1 measurement period；OtiIt it is the period to be measured i-th The occupation rate of the vehicle in the section to be measured, OM in measurement periodtFor the period to be measured in preceding N-1 measurement period institute State the initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period institute State the initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are power Weight values.
It can be seen from the above：In the above embodiment of the present invention, the period to be measured is obtained in N measurement periods Corresponding traffic behavior, the traffic behavior is determined after congestion status, to obtain the period to be measured in first N-1 statistics Corresponding N-1 groups traffic flow parameter and the time adjacent segments of the time to be measured institute in N measurement periods are right in cycle The traffic flow parameter answered；If the period to be measured traffic flow parameter corresponding in N measurement periods and the preceding N-1 are individual Difference in measurement period between the average value of corresponding N-1 group traffic flow parameters described is treated in the first preset range Surveying traffic flow parameter of the period corresponding in N measurement periods, the institute in N measurement periods is right with the time adjacent segments Difference between the traffic flow parameter answered is in the second preset range, it is determined that the period to be measured is in N measurement periods It is interior to be in sudden congestion status.The embodiment of the present invention has considered the period to be measured it is determined that during sudden congestion status Traffic behavior, the traffic flow parameter of historical statistical information and the time adjacent segments of period to be measured, it can be seen that it is determined that prominent The foundation of hair property congestion status is more comprehensive, thus to determine that sudden congestion status provides technical basis from various dimensions, enters And it ensure that the accuracy for determining sudden congestion status.By the above-mentioned means, sudden congestion can be identified in time, assist to hand over Logical manager takes timely regulation measure, improves the service efficiency of traffic resource.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method or computer program product. Therefore, the present invention can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware Form.Deposited moreover, the present invention can use to can use in one or more computers for wherein including computer usable program code The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.) Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in individual square frame or multiple square frames.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation Property concept, then can make other change and modification to these embodiments.So appended claims be intended to be construed to include it is excellent Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to comprising including these changes and modification.

Claims (10)

  1. A kind of 1. method for determining sudden congestion status, it is characterised in that this method includes：
    Obtain traffic behavior of the period to be measured corresponding in N measurement periods；Wherein, the traffic behavior is according to acquisition Period to be measured in section to be measured traffic flow parameter corresponding in N measurement periods determine；N is positive integer；
    The traffic behavior is determined as after congestion status, it is corresponding in preceding N-1 measurement period to obtain the period to be measured N-1 groups traffic flow parameter and the traffic flow corresponding in N measurement periods of the time adjacent segments of the period to be measured Parameter；
    If the period to be measured is in N measurement periods in corresponding traffic flow parameter and the preceding N-1 measurement period Difference between the average value of corresponding N-1 group traffic flow parameters is in the first preset range, and the period to be measured exists The corresponding traffic flow parameter traffic flow corresponding in N measurement periods with the time adjacent segments in N measurement periods Difference between parameter is in the second preset range, it is determined that the period to be measured is being in burst in N measurement periods Property congestion status.
  2. 2. the method as described in claim 1, it is characterised in that the traffic flow parameter in the section to be measured in each period Including：The flow of the vehicle in the section to be measured in the period, in the period vehicle in the section to be measured average speed Degree, and in the period vehicle in the section to be measured occupation rate；Wherein, the occupation rate of the vehicle is in the period The vehicle in the section to be measured takes the ratio of the total duration of predeterminated position point and the duration of the period；
    Traffic flow parameter of the period to be measured corresponding in N measurement periods and institute in the preceding N-1 measurement period Difference between the average value of corresponding N-1 groups traffic flow parameter in the first preset range, including：
    Traffic flow parameter of the period to be measured corresponding in N measurement periods meets following condition：
    (1)Qt-QMt' ＞ P1*Q σt′；
    (2)VMt′-Vt＞ P2*V σt′；
    (3)Ot-OMt' ＞ P3*O σt′；
    Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' it is described The average value of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described to be measured The flow variance of period vehicle in the section to be measured in preceding N-1 measurement period；VtIt it is the period to be measured in N The average speed of the vehicle in the section to be measured, VM in measurement periodt' for the period to be measured in preceding N-1 measurement period The average value of the average speed of the vehicle in the interior section to be measured, V σt' for the period to be measured in preceding N-1 measurement period The average speed variance of the vehicle in the interior section to be measured；OtFor the period to be measured in N measurement periods it is described to be measured The occupation rate of the vehicle in section, OMt' for the period to be measured the section to be measured in preceding N-1 measurement period vehicle Occupation rate average value, O σt' it is the period to be measured vehicle in the section to be measured in preceding N-1 measurement period Occupation rate variance；P1, P2, P3 are weighted value.
  3. 3. method as claimed in claim 2, it is characterised in that the time adjacent segments include the previous of the period to be measured Period and latter time period；
    The period to be measured corresponding traffic flow parameter and time adjacent segments in N measurement periods count in N Difference in cycle between corresponding traffic flow parameter in the second preset range, including：
    Traffic flow parameter of the period to be measured corresponding in N measurement periods at least conforms to following either 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-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For The average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1For the previous time period The flow of the vehicle in the section to be measured, Q in N measurement periodst+1For the latter time period in N measurement periods institute The flow of the vehicle in section to be measured is stated, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
  4. 4. method as claimed in claim 2, it is characterised in that corresponding N-1 group traffic in the preceding N-1 measurement period The average value of stream parameter obtains in the following manner：
    According to the N-1 groups traffic flow parameter, determine that the period to be measured traffic flow in the preceding N-1 measurement period is joined Several initial average output values and the initial variance of traffic flow parameter；
    Delete the difference in the N-1 groups traffic flow parameter between the initial average output value of the traffic flow parameter and do not meet the 3rd The abnormal traffic flow parameter of preset range；3rd preset range is obtained according to the initial variance of the traffic flow parameter 's；
    According to the traffic flow parameter in addition to the abnormal traffic flow parameter, obtain corresponding in the preceding N-1 measurement period N-1 group traffic flow parameters average value.
  5. 5. method as claimed in claim 4, it is characterised in that the difference between the initial average output value of the traffic flow parameter The abnormal traffic flow parameter for not meeting the 3rd preset range at least conforms to following either condition：
    (1)|Qti-QMt|≥K1·Qσt；
    (2)|Vti-VMt|≥K2·Vσt；
    (3)|Oti-OMt|≥K3·Oσt；
    Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtTo be described The initial average output value of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtTreated to be described Survey the initial variance of period flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiFor it is described to be measured when Between section vehicle in the section to be measured in the i-th measurement period average speed, VMtIt is that the period to be measured is individual in preceding N-1 The initial average output value of the average speed of the vehicle in the section to be measured, V σ in measurement periodtIt it is the period to be measured in preceding N-1 The initial variance of the average speed of the vehicle in the section to be measured in individual measurement period；OtiIt is to be united i-th the period to be measured Count the occupation rate of the vehicle in the section to be measured in the cycle, OMtFor the period to be measured in preceding N-1 measurement period it is described The initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period it is described The initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are weight Value.
  6. 6. a kind of device for determining sudden congestion status, it is characterised in that the device includes：
    Acquisition module, for obtaining period to be measured traffic behavior corresponding in N measurement periods；Wherein, the traffic State is that the traffic flow parameter corresponding in N measurement periods of the section to be measured in the period to be measured according to acquisition determines 's；N is positive integer；
    Processing module, for determining that the traffic behavior counts after congestion status, to obtain the period to be measured at first N-1 Corresponding N-1 groups traffic flow parameter and the time adjacent segments of the period to be measured institute in N measurement periods in cycle Corresponding traffic flow parameter；
    Determining module, for judge the period to be measured traffic flow parameter corresponding in N measurement periods with it is described before Difference in N-1 measurement period between the average value of corresponding N-1 group traffic flow parameters is in the first preset range, and institute Traffic flow parameter and the time adjacent segments of the period to be measured corresponding in N measurement periods are stated in N measurement periods In the case that difference between corresponding traffic flow parameter is in the second preset range, determine the period to be measured Sudden congestion status is in N measurement periods.
  7. 7. device as claimed in claim 6, it is characterised in that the traffic flow parameter in the section to be measured in each period Including：The flow of the vehicle in the section to be measured in the period, in the period vehicle in the section to be measured average speed Degree, and in the period vehicle in the section to be measured occupation rate；Wherein, the occupation rate of the vehicle is in the period The vehicle in the section to be measured takes the ratio of the total duration of predeterminated position point and the duration of the period；
    The determining module is specifically used for：
    Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods meets following condition：
    (1)Qt-QMt' ＞ P1*Q σt′；
    (2)VMt′-Vt＞ P2*V σt′；
    (3)Ot-OMt' ＞ P3*O σt′；
    Wherein, QtFor the flow of period to be measured vehicle in the section to be measured in N measurement periods, QMt' it is described The average value of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σt' it is described to be measured The flow variance of period vehicle in the section to be measured in preceding N-1 measurement period；VtIt it is the period to be measured in N The average speed of the vehicle in the section to be measured, VM in measurement periodt' for the period to be measured in preceding N-1 measurement period The average value of the average speed of the vehicle in the interior section to be measured, V σt' for the period to be measured in preceding N-1 measurement period The average speed variance of the vehicle in the interior section to be measured；OtFor the period to be measured in N measurement periods it is described to be measured The occupation rate of the vehicle in section, OMt' for the period to be measured the section to be measured in preceding N-1 measurement period vehicle Occupation rate average value, O σt' it is the period to be measured vehicle in the section to be measured in preceding N-1 measurement period Occupation rate variance；P1, P2, P3 are weighted value.
  8. 8. device as claimed in claim 7, it is characterised in that the time adjacent segments include the previous of the period to be measured Period and latter time period；
    The determining module is specifically used for：
    Whether the traffic flow parameter corresponding to judging the period to be measured in N measurement periods at least conforms to following any bar Part：
    (1)Vt-1-Vt＞ E1；
    (2)Vt-1-Vt＞ E2, Vt-Vt+1＞ E3, Qt-1-Qt＞ E4, Qt-Qt+1＞ E5；
    Wherein, Vt-1For the average speed of previous time period vehicle in the section to be measured in N measurement periods, Vt+1For The average speed of latter time period vehicle in the section to be measured in N measurement periods, Qt-1For the previous time period The flow of the vehicle in the section to be measured, Q in N measurement periodst+1For the latter time period in N measurement periods institute The flow of the vehicle in section to be measured is stated, E1, E2, E3, E4, E5 is predetermined threshold value, and E1 is more than E2.
  9. 9. device as claimed in claim 6, it is characterised in that the determining module is additionally operable to：
    According to the N-1 groups traffic flow parameter, determine that the period to be measured traffic flow in the preceding N-1 measurement period is joined Several initial average output values and the initial variance of traffic flow parameter；
    Delete the difference in the N-1 groups traffic flow parameter between the initial average output value of the traffic flow parameter and do not meet the 3rd The abnormal traffic flow parameter of preset range；3rd preset range is obtained according to the initial variance of the traffic flow parameter 's；
    According to the traffic flow parameter in addition to the abnormal traffic flow parameter, obtain corresponding in the preceding N-1 measurement period N-1 group traffic flow parameters average value.
  10. 10. device as claimed in claim 9, it is characterised in that the determining module is specifically used for：
    Delete the abnormal traffic flow parameter at least conforming to following either condition：
    (1)|Qti-QMt|≥K1·Qσt；
    (2)|Vti-VMt|≥K2·Vσt；
    (3)|Oti-OMt|≥K3·Oσt；
    Wherein, QtiFor the flow of the period to be measured vehicle in the section to be measured in the i-th measurement period, QMtTo be described The initial average output value of period to be measured flow of the vehicle in the section to be measured in preceding N-1 measurement period, Q σtTreated to be described Survey the initial variance of period flow of the vehicle in the section to be measured in preceding N-1 measurement period；VtiFor it is described to be measured when Between section vehicle in the section to be measured in the i-th measurement period average speed, VMtIt is that the period to be measured is individual in preceding N-1 The initial average output value of the average speed of the vehicle in the section to be measured, V σ in measurement periodtIt it is the period to be measured in preceding N-1 The initial variance of the average speed of the vehicle in the section to be measured in individual measurement period；OtiIt is to be united i-th the period to be measured Count the occupation rate of the vehicle in the section to be measured in the cycle, OMtFor the period to be measured in preceding N-1 measurement period it is described The initial average output value of the occupation rate of the vehicle in section to be measured, O σtFor the period to be measured in preceding N-1 measurement period it is described The initial variance of the occupation rate of the vehicle in section to be measured；I is the integer for being less than or equal to N-1 more than or equal to 1, and K1, K2, K3 are weight Value.
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