KR20180068110A - Method and system for determining homogeneity of traffic condition between point detector and section detector data - Google Patents

Abstract

The present invention relates to a method to determine homogeneity of a traffic condition between a point detector and a section detector and a system thereof, to correctly determine a speed flow. According to one embodiment of the present invention, the method to determine homogeneity of a traffic condition between a point detector and a section detector comprises: a step of periodically collecting traffic speed values from the point and section detectors in previous and following periods with respect to the current period; a step of acquiring a speed pattern, which is divided into smooth, slow, and jammed states in accordance with the traffic speed values, of each period including the current, previous, and following periods with respect to the point and section detectors; a step of distinguishing a speed flow, which is divided into holding, increasing, and decreasing states in accordance with changes of the traffic speed values, in the current period in accordance with sensitivity of a speed change reflecting the speed pattern of each period based on the traffic speed values in each period with respect to the point and section detectors; and a step of determining whether the speed flow of the current period at the point detector corresponds to the speed flow of the current period at the section detector.

Description

TECHNICAL FIELD The present invention relates to a method and system for determining the homogeneity of traffic conditions between a point detector and a section detector,

The following embodiments relate to a system and method for determining the homogeneity of a traffic condition between a point detector and a section detector, and more particularly to a system and method for determining the homogeneity of a traffic condition between a point detector and a section detector, It is a technique to judge the homogeneity between data of communication situation.

In recent years, Intelligent Transportation Systems (ITS) has introduced advanced detection devices such as multifunction detector, city traffic information system, and short distance dedicated communication, .

In order to fuse the communication status data of the point detector with the communication status data of the section detector, research on a method of checking the difference between the point detector and the section detection period is required.

However, there is still a lack of research on the method to confirm the difference between the point detector and the interval detection period. Particularly, only quantitative researches such as traffic speed, travel time estimation and prediction are actively conducted in connection with the traffic situation judgment in the point detector and the section detector, and it is linked with the speed pattern which is classified into smooth, No qualitative studies have been conducted.

Thus, the following embodiments propose a method and system for determining the homogeneity of traffic conditions between a point detector and a section detector.

One embodiment provides a method and system for determining the homogeneity of traffic conditions between a point detector and a section detector.

Specifically, one embodiment obtains a velocity pattern that is classified into smooth, slow, and congested states and a velocity flow classified into a state of maintaining, decreasing, and increasing for each of the position detector and the section detector, A method and system for determining whether a velocity pattern and a velocity flow match a velocity pattern and velocity flow of a section detector.

Accordingly, in one embodiment, in the process of determining the velocity flow for each of the point detector and the section detector, not only the traffic speed and velocity change are considered, but also the sensitivity of the velocity change reflecting the velocity pattern and the peak time and non- And a method and system for considering the time period reflecting the time period.

According to one embodiment, a method for determining the homogeneity of a traffic condition between a point detector and a section detector may include determining, for each of the point detector and the section detector, Periodically collecting a traffic speed value at a predetermined time; A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant Gt; a < / RTI >state; For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, Wherein the speed flow is divided into a state of maintenance, reduction and increase according to a change of the value of the traffic speed; And determining whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector.

Wherein the step of determining a velocity flow in the current period includes calculating a discrimination speed range by reflecting a difference between speed patterns in each of the plurality of periods; Setting a threshold of a plurality of discrimination indices according to whether the calculated discrimination speed range is equal to or higher than a preset reference speed; Determining each of the plurality of determination indices based on the set threshold value and a traffic speed value in each of the plurality of periods; And determining a velocity flow in the current period based on a determination result of each of the plurality of determination indices.

Wherein the step of determining each of the plurality of the discrimination indices is a step of determining the state of the speed flow of each of the plurality of discrimination indices as one of maintenance, reduction, or increase, and the determination result of each of the plurality of discrimination indices Based on the determination result of the velocity flow of each of the plurality of determination indices, determines that the velocity flow in the current period is maintained, reduced, or increased, based on the determination result of the velocity flow of each of the plurality of determination indices Lt; / RTI >

Wherein the step of determining a velocity flow in the current period based on a determination result of each of the plurality of determination indicators comprises: weighting the plurality of determination indicators; And determining a velocity flow in the current period based on the determination result of each of the plurality of weighted determination indicators.

Wherein the step of assigning weights to the plurality of discrimination indexes comprises the steps of: determining a discrimination index related to the traffic speed value in the current period among the plurality of discrimination indexes and a weighting factor in the discrimination indexes related to the traffic speed value in the subsequent periods And the like.

Wherein the step of determining a velocity flow in the current period comprises the steps of determining a velocity flow in the current period for the point detector and a velocity flow in the current period for the section detector in response to the change in the current period, Wherein the step of determining whether a velocity flow in the current period for the point detector and a velocity flow in the current period for the section detector are consistent comprises determining And determining whether the speed flow in the current period and the speed flow in the current period for the section detector match.

Wherein the step of determining whether or not the velocity flow in the current period and the velocity flow in the current period to the section detector are continuously determined is based on the peak time period and the non-peak time period of the communication state And judging whether or not the speed flow in the current period and the speed flow in the current period for the section detector for the continuously detected point detector are consistent with each other in accordance with the classified time series classification.

Wherein the step of determining whether the continuously detected speed flow in the current period and the speed flow in the current period to the section detector are coincident or not is performed in the current cycle for the continuously determined point detector And determining a coincidence rate between the pattern of the velocity flow in the current period and the pattern of the velocity flow in the current period for the continuously determined interval detector.

Wherein the step of determining whether the continuously detected speed flow in the current period and the speed flow in the current period to the section detector are coincident or not is performed in the current cycle for the continuously determined point detector And determining whether the variance of the velocity difference between the velocity flow in the current period and the velocity flow in the current period for the continuously determined interval detector is within a predetermined upper limit value and a preset lower limit value .

According to an embodiment, there is provided a computer program stored in a medium for executing a method of determining a homogeneity of a traffic condition between a point detector and a section detector in combination with a computer implementing an electronic device, A step of periodically collecting traffic speed values in each of the previous periods and the following periods based on the current period, for each of the point detector and the section detector; A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant Gt; a < / RTI >state; For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, Wherein the speed flow is divided into a state of maintenance, reduction and increase according to a change of the value of the traffic speed; And determining whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector.

According to one embodiment, a system for determining the homogeneity of a traffic condition between a point detector and a section detector may be configured to determine, for each of the point detector and the section detector, A collection unit for periodically collecting a traffic speed value at a predetermined time; A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant - an acquiring unit for acquiring a state of the vehicle; For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, A determination unit for determining that the speed flow is classified into a state of maintenance, reduction, and increase according to a change in the value of the traffic speed; And a determination unit for determining whether or not a speed flow in the current cycle for the point detector and a speed flow in the current cycle for the section detector match.

Wherein the determining unit calculates the discrimination speed range by reflecting the difference between the speed patterns in each of the plurality of periods and determines a threshold value of the plurality of discrimination indices based on whether the calculated discrimination speed range is equal to or higher than a preset reference speed And determining each of the plurality of discrimination indices based on the set threshold value and the traffic speed value in each of the plurality of periods, and based on the determination result of each of the plurality of discrimination indices, Can be identified.

The determination unit may assign a weight to the plurality of determination indicators, and may determine a velocity flow in the current cycle based on a determination result of each of the plurality of weighted determination indicators.

Wherein the determining unit continuously determines the velocity flow in the current period and the velocity period in the current period for the section detector in response to the change of the current period according to the time, It is possible to judge the homogeneity of the communication situation in which it is judged whether or not there is a coincidence between the speed flow in the current period and the speed flow in the current period to the section detector which are continuously discriminated.

Wherein the determination unit determines the speed flow in the current period for the continuously detected point detector and the current speed in the current period for the interval detector in accordance with the time zone classification classified based on the peak time zone and the non- It is possible to judge whether there is a match between the velocity flows.

One embodiment may provide a method and system for determining the homogeneity of traffic conditions between a point detector and a section detector.

Specifically, one embodiment obtains a velocity pattern that is classified into smooth, slow, and congested states and a velocity flow classified into a state of maintaining, decreasing, and increasing for each of the position detector and the section detector, It is possible to provide a method and system for determining whether or not a speed pattern and a speed flow match with a speed pattern and a speed flow of a section detector.

At this time, in one embodiment, in determining the velocity flow for each of the point detector and the section detector, not only the traffic speed and velocity change are considered, but also the sensitivity of the velocity change reflecting the velocity pattern and the peak time and non- It is possible to provide a method and system for considering time zones reflecting time zones.

Thus, one embodiment can provide a method and system for more accurately determining velocity flow for each of the point detector and the section detector.

Accordingly, the method and system for determining the homogeneity of the traffic situation between the point detector and the interval detector provided by the embodiments are applied to the software for collecting and processing traffic data in the traffic information center, so that the traffic flow stability Or to minimize the difference between the traffic information and the ground truth.

In addition, the method and system for determining the homogeneity of the traffic situation between the point detector and the interval detector provided by the embodiments may be used in the traffic information processing algorithm based on the point detector based on the past history data.

1 is a view for explaining a communication situation according to an embodiment.
FIGS. 2 to 3 are views for explaining a plurality of discrimination indices used in the process of discriminating velocity flow according to an embodiment.
FIG. 4 is a diagram illustrating a control chart used in the process of determining whether or not the velocity flow of the point detector and the velocity detector of the section detector are consistent according to an exemplary embodiment.
5 is a flowchart illustrating a method of determining the homogeneity of traffic conditions between a point detector and a section detector according to an exemplary embodiment.
6 is a block diagram illustrating a system for determining the homogeneity of traffic conditions between a point detector and a section detector according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. In addition, the same reference numerals shown in the drawings denote the same members.

Also, terminologies used herein are terms used to properly represent preferred embodiments of the present invention, which may vary depending on the user, intent of the operator, or custom in the field to which the present invention belongs. Therefore, the definitions of these terms should be based on the contents throughout this specification.

1 is a view for explaining a communication situation according to an embodiment.

1, a communication situation according to an exemplary embodiment is a combination of states of a smooth 110, a delay 120, and a congestion 130, Down and up state are repeatedly formed to form a traffic flow pattern.

Hereinafter, the speed pattern is classified into a seamless state 110 when the traffic speed value is equal to or greater than the first reference value and divided into the slow state 120 when the traffic speed value is equal to or greater than the second reference value, When the velocity value is less than the second reference value, it is classified into the state of the congestion 130 (the first reference value is larger than the second reference value). In addition, the velocity flow is an index indicating the slope of the graph of the velocity pattern. It represents the velocity change of the traffic velocity value. When the traffic velocity value is constant without change, it is classified into the maintenance state. If the traffic speed value is increased and changed, it is divided into the increase state.

That is, the traffic situation is composed of a combination of a speed pattern classified into smooth, slow, and congested states and a speed flow classified into a state of maintaining, decreasing, and increasing the speed, Increase (123), stagnation - decrease (131), stagnation - stay (132) and stagnation - increase (133), smoothness - up (113), slowing - down (121), slowing - Lt; / RTI >

This communication is influenced by peak time and non-peak time, and each state is patterned in various combinations. For example, the communication situation of the peak time zone has a large change in the pattern, and the non-peak time zone communication situation has a relatively small change in the pattern.

Further, in the traffic situation, the width of the speed change (the sensitivity as the width of the change in the speed flow), which is the fluctuation width in which the traffic speed value increases and decreases, indicates whether the speed pattern is in the smooth state 110, The state of the congestion 130 is different. For example, when the speed pattern is smooth (110), the width of the speed variation can be greatly varied, and when the speed pattern is the state of the stagnation (130), the width of the speed variation can be small. In other words, the sensitivity of the speed change has different values depending on the speed pattern.

 Therefore, in the traffic situation, velocity flow is discriminated by time zone and discriminated according to the sensitivity of speed change reflecting rate pattern, so that the accuracy of discrimination can be improved.

Accordingly, a system for determining the homogeneity of traffic conditions between a point detector and a section detector according to an embodiment (hereinafter, a system for determining the homogeneity of a traffic situation among a check section and a section detector, A system for simplifying the determination of the homogeneity of a vehicle, which is briefly described as a system), determines the speed flow by time zone for each of the point detector and the section detector, and discriminates it according to the sensitivity of the speed change reflecting the speed pattern Thereby improving the accuracy of discrimination accuracy and the accuracy of coincidence determination. A detailed description thereof will be given below.

FIGS. 2 to 3 are views for explaining a plurality of discrimination indices used in the process of discriminating velocity flow according to an embodiment. In particular, FIG. 2 is a table showing a plurality of discrimination indexes used in the process of discriminating speed flow according to an embodiment. FIG. 3 is a table showing a plurality of discrimination indexes Of the present invention.

2 to 3, the system according to an embodiment periodically collects traffic speed values in each of the previous periods and the following periods based on the current period, in each of the point detector and the section detector, Obtains a velocity pattern in each of a plurality of periods including previous periods and subsequent periods. Hereinafter, the present cycle means a time point at which a speed flow is to be discriminated, and each of the preceding cycles and the following cycles means cycles before or after a predetermined time unit based on the current cycle.

For example, in the point detector, the system collects the traffic speed values in the previous two periods and the following two periods based on the current period, and then, based on the traffic speed values of each of the plurality of periods, It is possible to acquire the velocity pattern of each of the first, second, Similarly, in the section detector, the system collects the traffic speed values in the previous two periods and the following two periods based on the current period, and then, according to the traffic speed value of each of the plurality of periods, It is possible to acquire the speed pattern of the vehicle speed, smoothness, slowness or stagnation.

, 이전 제1 주기에서의 교통 속도 값

, 이전 제2 주기에서의 교통 속도 값

, 이후 제1 주기에서의 교통 속도 값

및 이후 제2 주기에서의 교통 속도 값

를 수집한 뒤,

,

,

,

및

각각이 제1 기준값 이상인지, 제1 기준값 미만 제2 기준값 이상인지 또는 제2 기준값 미만인지를 확인하여, 현재 주기에서의 속도 패턴, 이전 제1 주기에서의 속도 패턴, 이전 제2 주기에서의 속도 패턴, 이후 제1 주기에서의 속도 패턴 및 이후 제2 주기에서의 속도 패턴 각각을 원활, 서행 또는 정체 중 어느 하나의 상태로 획득할 수 있다.More specifically, for each of the point detector and the section detector, the system calculates the traffic speed value

, The traffic speed value in the previous first cycle

, The traffic speed value in the previous second cycle

, And thereafter the traffic speed value in the first cycle

And then the traffic speed value in the second cycle

Lt; / RTI >

,

,

,

And

The speed pattern in the current cycle, the speed pattern in the previous first cycle, the speed in the previous second cycle, the speed pattern in the previous first cycle, the speed pattern in the previous first cycle, Pattern, the velocity pattern in the first period and the velocity pattern in the second period thereafter can be obtained as either smooth, slow or stagnant states.

Once the velocity pattern in each of the plurality of periods is obtained, the system determines, for each of the point detector and the section detector, the velocity flow in the current period based on the traffic speed value in each of the plurality of periods.

,

,

및

)을 나타내는 제1 판별 지표(210), 이전 2 주기들에서의 평균 교통 속도 값과 현재 주기에서의 교통 속도 값 사이의 차이 값(

)을 나타내는 제2 판별 지표(220), 이전 제2 주기에서의 교통 속도 값과 현재 주기에서의 교통 속도 값 사이의 차이 값(

)을 나타내는 제3 판별 지표(230), 이후 2 주기들에서의 평균 교통 속도 값과 현재 주기에서의 교통 속도 값 사이의 차이 값(

)을 나타내는 제4 판별 지표(240), 이후 제2 주기에서의 교통 속도 값과 현재 주기에서의 교통 속도 값 사이의 차이 값(

)을 나타내는 제5 판별 지표(250) 및 제1 내지 제5 판별 지표 각각의 임계치를 설정하는 제6 판별 지표(260)를 포함할 수 있다.Specifically, the system uses the plurality of determination indices 210, 220, 230, 240, 250, and 260 calculated based on the traffic speed values in each of the plurality of periods to determine the speed flow in the current period can do. 2 to 3, the plurality of discrimination indexes 210, 220, 230, 240, 250, and 260 may include a difference between traffic speed values in two adjacent ones of the plurality of periods, value(

,

,

And

A first discrimination index 210 indicating a difference value between the average traffic speed value in the previous two periods and the traffic speed value in the current period

A second discrimination index 220 indicating a difference value between the traffic speed value in the previous second period and the traffic speed value in the current period

A third discrimination index 230 indicating a difference value between the average traffic speed value in the two periods and the traffic speed value in the current period

A fourth discrimination index 240 indicating a difference value between the traffic speed value in the second cycle and the traffic speed value in the current cycle

And a sixth discrimination indicator 260 for setting a threshold value of each of the first to fifth discrimination indices.

At this time, the system can use the sixth discrimination index 260 so as to discriminate the speed flow in the current cycle in consideration of the sensitivity of the speed variation reflecting the speed pattern in each of the plurality of periods.

For example, the system may calculate the discrimination speed range on the sixth discrimination index 260 by reflecting the difference between the speed patterns in each of the plurality of periods, and determine whether the calculated discrimination speed range is equal to or higher than a preset reference speed The second discrimination index 220, the third discrimination index 230, the fourth discrimination index 240 and the fifth discrimination index 250 by setting the thresholds of the second discrimination index 220, the third discrimination index 230, the fourth discrimination index 240 and the fifth discrimination index 250, The sensitivity of the speed change reflecting the speed pattern in each of the plurality of periods can be considered in the process of determining the discrimination index 230, the fourth discrimination index 240 and the fifth discrimination index 250.

Here, the preset reference speed may be a speed included in a predetermined range based on the speed limit set in the interval in which the position detector and the interval detector are disposed, or the speed limit.

More specifically, for example, the system calculates the average of the traffic speed value in the previous second period, the traffic speed value in the previous first period, and the traffic speed value in the current period as the second discrimination index The discrimination speed range for the second discrimination index 220 and the discrimination speed range for the third discrimination index 230 is set to a discrimination speed range that is not less than a reference speed set in advance, The threshold value of each of the second discrimination index 220 and the third discrimination index 230 is set to 10 kph and the threshold value of each of the second discrimination index 220 and the third discrimination index 230 is set to You can set it to 5kph.

의 계산 값)이 상술한 바와 같이 설정된 임계치의 마이너스 값 이하인 경우, 제2 판별 지표(220)의 속도 흐름을 감소의 상태로 판단하고, 임계치의 플러스 값 이상인 경우, 제2 판별 지표(220)의 속도 흐름을 증가의 상태로 판단하며, 임계치의 마이너스 값 초과 임계치의 플러스 값 미만인 경우, 제2 판별 지표(220)의 속도 흐름을 유지의 상태로 판단할 수 있다.Accordingly, when determining the second discrimination index 220, the system calculates the calculated value of the second discrimination index 220

Of the second discrimination index 220 is less than or equal to the minus value of the threshold value set as described above, the flow rate of the second discrimination index 220 is determined to be in a decreasing state, It is possible to judge the velocity flow of the second discrimination index 220 to be in the state of maintenance when it is judged that the velocity flow is in the state of increase and is less than the positive value of the threshold value exceeding the minus value.

의 계산 값)이 상술한 바와 같이 설정된 임계치의 마이너스 값 이하인 경우, 제3 판별 지표(230)의 속도 흐름을 감소의 상태로 판단하고, 임계치의 플러스 값 이상인 경우, 제3 판별 지표(230)의 속도 흐름을 증가의 상태로 판단하며, 임계치의 마이너스 값 초과 임계치의 플러스 값 미만인 경우, 제3 판별 지표(230)의 속도 흐름을 유지의 상태로 판단할 수 있다.Likewise, in determining the third discrimination index 230, the system may calculate the calculated value of the third discrimination index 230

Of the third discrimination index 230 is less than or equal to the minus value of the threshold value set as described above, the flow rate of the third discrimination index 230 is determined to be in a decreasing state, The flow rate of the third discrimination index 230 can be judged to be in the state of maintenance if the rate of flow of the third discrimination index 230 is judged as being in the increasing state and is less than the positive value of the threshold value exceeding the minus value.

In another specific example, the system then calculates the average value of the traffic speed values in the second period, the traffic speed values in the first period and the traffic speed values in the current period from the sixth discrimination index 260, The discrimination speed range for the fifth discrimination index 250 and the discrimination speed range for the fifth discrimination index 250 are determined to be equal to or greater than a preset reference speed, The threshold value of each of the fourth discrimination index 240 and the fifth discrimination index 250 is set to 10 kph and the threshold value of each of the fourth discrimination index 240 and the fifth discrimination index 250 is set to You can set it to 5kph.

의 계산 값)이 상술한 바와 같이 설정된 임계치의 플러스 값 이상인 경우, 제4 판별 지표(240)의 속도 흐름을 감소의 상태로 판단하고, 임계치의 마이너스 값 이하인 경우, 제4 판별 지표(240)의 속도 흐름을 증가의 상태로 판단하며, 임계치의 마이너스 값 초과 임계치의 플러스 값 미만인 경우, 제4 판별 지표(240)의 속도 흐름을 유지의 상태로 판단할 수 있다.Accordingly, in determining the fourth discrimination index 240, the system calculates the value of the fourth discrimination index 240

Of the fourth discrimination index 240 is equal to or greater than the positive value of the threshold value set as described above, the speed flow of the fourth discrimination index 240 is determined to be in a state of decrease, and when it is equal to or less than the minus value of the threshold value, The flow rate of the fourth discrimination index 240 can be judged to be in the state of maintenance if the rate of flow of the fourth discrimination index 240 is judged as being in the increasing state and is less than the positive value of the threshold value exceeding the minus value.

의 계산 값)이 상술한 바와 같이 설정된 임계치의 플러스 값 이상인 경우, 제5 판별 지표(250)의 속도 흐름을 감소의 상태로 판단하고, 임계치의 마이너스 값 이하인 경우, 제5 판별 지표(250)의 속도 흐름을 증가의 상태로 판단하며, 임계치의 마이너스 값 초과 임계치의 플러스 값 미만인 경우, 제5 판별 지표(250)의 속도 흐름을 유지의 상태로 판단할 수 있다.Likewise, in determining the fifth discrimination index 250, the system calculates the value of the fifth discrimination index 250

Of the fifth discrimination index 250 is equal to or greater than the positive value of the threshold value set as described above, the speed flow of the fifth discrimination index 250 is determined to be in a decreasing state, and when it is equal to or less than the minus value of the threshold value, The speed flow of the fifth discrimination index 250 can be judged to be in the maintenance state when it is judged that the speed flow is in the increasing state and is less than the positive value of the threshold value exceeding the minus value.

,

,

및

)의 부호가 판별되어 그 속도 흐름이 판단될 수 있다.Unlike the case where the threshold value set on the sixth discrimination index 260 is used to determine the speed flow of each of the second discrimination index 220 to the fifth discrimination index 250, A difference value between the traffic speed values in each of two adjacent ones of the plurality of periods (

,

,

And

) Can be discriminated and the velocity flow can be judged.

,

,

및

) 각각의 부호를 기준으로, 제1 판별 지표(210)의 계산 값들의 부호들 중 마이너스 부호가 3개 이상인 경우, 제1 판별 지표(210)의 속도 흐름을 감소의 상태로 판단하고, 플러스 부호가 3개 이상인 경우, 제1 판별 지표(210)의 속도 흐름을 증가의 상태로 판단하며, 부호 개가 동등한 경우, 제1 판별 지표(210)의 속도 흐름을 유지의 상태로 판단할 수 있다.For example, the system may calculate the calculated values of the first discrimination index 210 (

,

,

And

) Of the first discrimination index 210 is determined as a decrease state when the number of minus signs among the signs of the calculated values of the first discrimination index 210 is three or more, It is possible to judge the velocity flow of the first discrimination index 210 as being in the state of increase and judge that the velocity flow of the first discrimination index 210 is in the state of keeping if the sign is equal.

As described above, when the velocity flow of each of the first discrimination index 210, the second discrimination index 220, the third discrimination index 230, the fourth discrimination index 240 and the fifth discrimination index 250 is judged The system can determine the velocity flow in the current period based on the determination result of each of the plurality of determination indicators 210, 220, 230, 240, and 250.

In particular, the system assigns weights to the discrimination indexes related to the traffic speed values in the current period among the plurality of discrimination indexes 210, 220, 230, 240, and 250 and the discrimination indexes related to the traffic speed values in the following periods , It is possible to identify the speed flow in the present cycle more sensitively by reflecting the future situation.

For example, the system may be configured such that the first discrimination index 210, the fourth discrimination index 240 and the fifth discrimination index 250 are respectively provided with the second discrimination index 220 and the third discrimination index 230 The velocity flow in the current period can be determined based on the determination result of each of the plurality of weighted determination indicators 210, 220, 230, 240, and 250. (2) the result of the first discriminant index + the result of the second discriminant index + the result of the third discriminant index + (2) the result of the fourth discriminant index + (2) ) &Quot;, the state having the largest number can be identified as the velocity flow in the current period.

More specifically, if the determination result of the velocity flow of the first discrimination index 210 is in a state of decrease, the judgment result of the velocity flow of the second discrimination index 220 is in a state of decrease, and the third discrimination index 230 ), The result of the determination of the velocity flow of the fourth discrimination index 240 is in a state of decrease, and the result of the determination of the velocity flow of the fifth discrimination index 250 is in the state of decrease In this case, according to the above-described formula, seven states of decrease and one state of maintenance are finally obtained. Thus, the system can determine the rate of flow in the current cycle as a state of decrease.

Once the velocity flow in the current period is determined in each of the point detector and the section detector, the system determines whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector.

In particular, the system continuously performs the determination of the velocity flow in the current period in each of the above-described point detector and the interval detector in response to the change of the current period according to the passage of time, Can be determined as a continuous pattern, and the velocity flow in the current period for the section detector can be determined as a continuous pattern.

Thus, the system determines the coincidence rate between the pattern of the velocity flow in the current period for the continuously determined point detector and the pattern of the velocity flow in the current period for the continuously determined interval detector, It is possible to judge whether or not the speed flow in the current cycle for the detector and the speed flow in the current cycle for the section detector match.

At this time, the pattern of the velocity flow in the current cycle for the continuously detected point detector and the pattern of the velocity flow in the current cycle for the continuously determined interval detector each affect the peak time period and the non-peak time period of the communication situation . The system then determines each of the pattern of velocity flow in the current period for the continuously determined point detector and the pattern of velocity flow in the current period for the continuously determined period detector to each of the non-peak period, the morning peak period, Peak period and afternoon peak period, it is possible to determine the speed flow in the current cycle for the interval detector which is consecutively discriminated from the AM peak period of the pattern of the speed flow in the present cycle for the continuously discriminated point detector Peak period of the pattern, and the rate of flow in the current cycle for the interval detector that is continuously determined with respect to the morning peak period of the pattern of the velocity flow in the current period for the continuously discriminated point detector Determine the percent match between the morning peaks of the pattern, and determine the consecutive The coincidence rate between the afternoon peak period of the pattern of the velocity flow in the present cycle and the continuous peak period of the pattern of the velocity flow in the present cycle for the period detector which is continuously discriminated from the afternoon peak period of the pattern of the speed flow in the present cycle for the point detector, Of the pattern of velocity flow in the present cycle to the peak detector in the current cycle for the peak detector which is continuously determined with the peak peak of the current peak.

Also, the system may be configured such that the variance of the velocity difference in the current period for the continuously determined point detector and the velocity difference between the velocity flows in the current period for the continuously determined interval detectors is greater than a preset upper limit value and a predetermined lower limit value It is possible to judge whether or not the velocity flow in the current period and the velocity flow in the current period to the section detector for the continuously determined point detector coincide with each other. A detailed description thereof will be described with reference to FIG.

Thus, the system according to one embodiment determines the coincidence rate between the pattern of the velocity flow in the current period for the continuously determined point detector and the pattern of the velocity flow in the current period for the continuously determined interval detector , The variance of the velocity difference in the current period for the continuously determined point detector and the velocity difference between the velocity flows in the current period for the continuously determined interval detectors is within a predetermined upper limit value and a preset lower limit value It is possible to judge the homogeneity between the data of the communication status of the point detector and the data of the communication status of the section sensor.

For example, the system can determine that the agreement rate between the pattern of velocity flow of the point detector and the velocity flow pattern of the section detector is 80% or more, and the variance of the velocity difference between the velocity flow of the point detector and the velocity flow of the section detector It is possible to determine that the data of the communication state of the point detector matches the data of the communication state of the section detector when the set upper limit value and the predetermined lower limit value are included in the range of 90% If the coincidence rate between the speed flow patterns is 80% or more and the variance of the speed difference between the speed flow of the point detector and the speed flow of the section detector is less than 90% within the preset upper limit value and the preset lower limit value, It can be judged that the data of the communication status of the detector and the data of the communication status of the section detector are incomplete , If the coincidence rate between the pattern of the velocity flow of the point detector and the velocity flow pattern of the section detector is less than 80% and the variance of the velocity difference between the velocity flow of the point detector and the velocity flow of the section detector is less than a preset upper limit value Or more than 90% in the set lower limit value, or the matching ratio between the pattern of the speed flow of the point detector and the speed flow pattern of the section detector is less than 80%, and the speed difference between the speed flow of the point detector and the speed flow of the section detector It is possible to judge that the data of the traffic situation of the point detector does not match the data of the traffic situation of the section detector when the variance of the distance sensor is less than 90% within a preset upper limit value and a preset lower limit value.

Although it has been described above that the method of discriminating the velocity flow in the present cycle for each of the point detector and the section detector is performed in order to determine the homogeneity of the communication situation between the point detector and the section detector, And can be independently performed or used in various fields of processing data of traffic situation.

For example, the method of determining the speed flow in the current cycle for each of the point detector and the section detector can be used for traffic information processing system, traffic information management, etc., since the criterion for the traffic situation is objectified.

Furthermore, instead of determining the homogeneity between the velocity flow of the point detector and the velocity flow of the section detector, the homogeneity between the velocity flow of the ground check station and the GPS-based detection data may be determined at a certain interval. Such a case can likewise be performed by the process described with reference to Figs. Therefore, when the velocity of the ground check station and the GPS-based detection data do not coincide with each other, it is confirmed that there is a problem in machining or installation position of either data. Therefore, You can reconsider your collection plan.

As another example, the current travel time information is calculated from the data of the point detector and the section detector, respectively. However, since there is a limit for each detector, both data can be mixed in the section where both the data of the point detector and the detector of the section are collected. That is, the traffic information center calculates the traffic speed or time by mixing the two data through the expression of "traffic speed (or time) = a * (point detector data) + (1-a) * . However, it is necessary to confirm homogeneity between the data of the point detector and the data of the section detector. Therefore, after the homogeneity judgment between the velocity flow of the point detector and the velocity flow of the section detector is performed by the procedure described with reference to Figs. 1 to 3, the above-mentioned traveling speed or time can be calculated. At this time, the weight a used in the expressions of travel speed or time can also be estimated by the homogeneity judgment between the velocity flow of the point detector and the velocity flow of the section detector.

In another example, the use of historical data in real time traffic information processing systems depends heavily on the patterns of traffic situation by month, season, day of the week, and time of day. In other words, when the real-time traffic speed is calculated using the past history data, it is possible to determine the past traffic patterns and determine how many weights can be given when the rules are generated. The real-time traffic speed calculation equation that reflects the general past history data weight is as follows.

<Formula 1>

는 실시가 t의 다음 주기 예측 통행 속도를 의미하고,

는 실시간 t에서 산정한 통행 속도를 의미하며,

는 실시간 t의 다음 주기 과거 통행 속도를 의미하고,

및

는 (

)을 만족시키는 가중치 파라미터를 의미한다. 구체적으로, 실시간 교통 정보 가공 체계는 식 1에서 가중치 파라미터인

는 실시간 t에서 산정한 통행 속도에 에 대한 가중치이고,

는 t 시간의 소통 상황 및 교통류 안정성을 근거한 t+1 시간의 과거 통행 속도의 가중치를 의미한다. 여기서, 가중치 파라미터

및

의 적정 값을 결정하기 위해서는 월별, 계절별, 요일별, 시간대별 소통 상황의 패턴 분석이 선행되어야 한다. 따라서, 도 1 내지 3을 참조하여 설명된 과정에 의해 수행되는 지점검지기 및 구간검지기 각각에 대해 현재 주기에서의 속도 흐름을 판별하는 방법은 과거 이력 자료들의 패턴을 분석하는 알고리즘으로 과거 이력 데이터의 변화도 또는 안정성에 대한 분석에 활용 가능하기 때문에, 가중치 파라미터

및

의 적정 값을 결정하는데 활용이 가능하다.
In Equation 1,

&Lt; / RTI &gt;&lt; RTI ID = 0.0 &gt;

Means the traveling speed calculated in real time t,

Denotes the past traveling speed of the next cycle of the real time t,

And

(

) &Lt; / RTI &gt; Specifically, the real-time traffic information processing system calculates the weight parameter

Is a weight for the travel speed calculated in real time t,

Means the weight of the past traffic speed of t + 1 hour based on traffic conditions of t time and traffic flow stability. Here, the weight parameter

And

It is necessary to analyze the pattern of traffic situation by month, season, day of the week, and time of day. Therefore, the method of determining the velocity flow in the current period for each of the point detector and the section detector performed by the process described with reference to Figs. 1 to 3 is an algorithm for analyzing patterns of past history data, Because it can be used for analysis of stability or stability,

And

Can be used to determine the appropriate value of.

FIG. 4 is a diagram illustrating a control chart used in the process of determining whether or not the velocity flow of the point detector and the velocity detector of the section detector are consistent according to an exemplary embodiment.

Referring to FIG. 4, the system according to an embodiment may use the control chart 410 to determine the velocity flow in the current period for the continuously determined point detectors, and the velocity flow in the current period for the continuously determined period detectors. It is possible to determine whether the variance of the speed difference between the speed flows is included in the predetermined upper limit value and the predetermined lower limit value.

Here, the control chart model 410 is composed of a center line and a management limit (upper and lower limits). By managing the average value and the standard deviation of the speed difference using a normal distribution as shown in the figure, The value and the lower limit value are set so that the abnormal value can be removed.

<Formula 2>

는 현재 주기, 이전 2 주기들 및 이후 2 주기들 사이의 미리 설정된 시간 단위에 따른 집계 데이터 평균을 의미하고,

는 미리 설정된 시간 단위에 따른 데이터의 표준편차를 의미하며, k는

의 가중치를 의미한다.In Equation 2, UCL means the upper limit value, LCL means the lower limit value,

Means the aggregate data average according to the current period, the previous two periods, and the predetermined time unit between the two subsequent periods,

Denotes a standard deviation of data according to a preset time unit, k denotes a standard deviation

&Lt; / RTI &gt;

Therefore, the system uses the control chart 410, in which the upper and lower limit values are preset, as shown in Equation 2, to calculate the velocity flow in the current cycle for the continuously determined point detectors and for the continuously- It is possible to determine whether the variance of the speed difference between the speed flows in the current cycle is included in the predetermined upper limit value and the predetermined lower limit value.

5 is a flowchart illustrating a method of determining the homogeneity of traffic conditions between a point detector and a section detector according to an exemplary embodiment.

Referring to FIG. 5, a method for determining homogeneity of traffic conditions between a point detector and a section detector according to an embodiment includes a system (hereinafter referred to as a system) for determining the homogeneity of traffic conditions between a point detector and a section detector, Lt; / RTI &gt; Here, the system may be implemented in the form of a computer program stored in a medium, in combination with a hardware module, as well as a computer implementing the electronic device.

The system periodically collects (510) traffic speed values for each of the previous and subsequent periods, based on the current period, for each of the point detector and the section detector.

The system then determines, for each of the point detector and the section detector, the velocity pattern-velocity pattern in each of the plurality of periods, including the current period, previous periods and subsequent periods, Is obtained (520).

The system then calculates, for each of the point detector and the section detector, the velocity in the current period according to the sensitivity of the velocity variation reflecting the velocity pattern in each of the plurality of periods, based on the traffic speed value in each of the plurality of periods, Flow-speed flow is classified into the state of maintenance, reduction and increase according to the change of the traffic speed value (step 530).

Specifically, in step 530, the system calculates the discrimination speed range by reflecting the difference between the speed patterns in each of the plurality of periods, and determines whether or not a plurality of discrimination speed ranges Determining a plurality of discrimination indexes based on a set threshold value and a traffic speed value in each of a plurality of periods, thereby determining, based on the determination result of each of the plurality of discrimination indexes, Speed flow can be determined.

For example, in the process of determining each of the plurality of discrimination indices, the system may determine that the speed flow of each of the plurality of discrimination indices is maintained, decreased or increased, and the plurality of discrimination indices In the process of determining the velocity flow in the current cycle based on the determination result of the determination process, the velocity flow in the current cycle is maintained, decreased, or increased based on the determination result of the velocity flow of each of the plurality of determination indicators .

In addition, the system assigns weights to the plurality of discrimination indexes in the process of discriminating the speed flow in the current period based on the determination result of each of the plurality of discrimination indexes, Based on the determination result, it is possible to determine the speed flow in the current cycle.

For example, the system may weight the discrimination indexes related to the traffic speed value in the current period among the plurality of discrimination indexes and the discrimination indexes related to the traffic speed value in the subsequent periods.

The system then determines 540 whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector.

In addition, in step 530, in step 530, in response to the current cycle being changed in accordance with the passage of time, the system continuously determines the velocity flow in the current cycle for the point detector and the current cycle for the section detector, , It is possible to judge whether or not the speed flow in the current period and the speed flow in the current period to the section detector for the continuously discriminated point detector coincide with each other.

Specifically, the system determines the consistency rate between the patterns of the velocity flow in the current period for the continuously determined point detector and the pattern of the velocity flow in the current period for the continuously determined interval probe, It is possible to judge whether or not the velocity flow in the current period to the point detector and the velocity flow in the current period to the section detector match.

Also, the system may be configured such that the variance of the velocity difference in the current period for the continuously determined point detector and the velocity difference between the velocity flows in the current period for the continuously determined interval detectors is greater than a preset upper limit value and a predetermined lower limit value It is possible to judge whether or not the velocity flow in the current period and the velocity flow in the current period to the section detector for the continuously determined point detector coincide with each other.

At this time, the system calculates the velocity flow in the current period for the continuously detected point detector and the velocity flow in the current period for the section detector in accordance with the time zone classification classified based on the peak time period and the non- Can be determined.

6 is a block diagram illustrating a system for determining the homogeneity of traffic conditions between a point detector and a section detector according to an embodiment.

Referring to FIG. 6, a system (hereinafter referred to as a system) for determining the homogeneity of traffic conditions between a point detector and a section detector according to an embodiment includes a collecting unit 610, an acquiring unit 620, 630 and a determination unit 640.

The collecting unit 610 periodically collects the traffic speed values in the previous and subsequent periods based on the current period, for each of the point detector and the section detector.

For each of the point detector and the section detector, the obtaining section 620 obtains a velocity pattern-velocity pattern in each of a plurality of periods including a current period, previous periods, and subsequent periods, according to a traffic speed value, The state is divided into the state of.

The determination unit 630 may determine, for each of the point detector and the section detector, the difference between the speed of the vehicle in the current cycle and the speed of the vehicle in accordance with the sensitivity of the speed change reflecting the speed pattern in each of the plurality of cycles, Speed flow - The speed flow is divided into the state of maintenance, reduction and increase according to the change of the traffic speed value.

Specifically, the determination unit 630 calculates the determination speed range by reflecting the difference between the speed patterns in each of the plurality of periods, and determines whether or not the determination speed range is a predetermined reference speed or more Determining a plurality of discrimination indexes based on a set threshold value and a traffic speed value in each of a plurality of periods, thereby determining, based on the determination result of each of the plurality of discrimination indexes, Speed flow can be determined.

For example, in the process of determining each of the plurality of determination indicators, the determination unit 630 may determine that the velocity flow of each of the plurality of determination indicators is maintained, decreased, or increased, The speed flow in the current cycle is maintained, decreased or increased based on the determination result of the speed flow of each of the plurality of determination indicators in the process of determining the speed flow in the current cycle based on the determination result of each of the determination indicators It can be determined as any one of the states.

The determination unit 630 may assign a weight to the plurality of determination indicators in the process of determining the speed flow in the current cycle based on the determination result of each of the plurality of determination indicators, The speed flow in the current cycle can be determined based on the determination result of each of the indicators.

For example, the determination unit 630 may weight the determination indexes related to the traffic speed values in the current period and the determination indexes related to the traffic speed values in the following periods among the plurality of determination indexes.

The determination unit 640 determines whether or not the speed flow in the current cycle for the point detector and the speed flow in the current cycle for the section detector coincide with each other.

Further, in response to the determination that the current period is changed in accordance with the passage of time, the determination unit 630 continuously determines the velocity flow in the current cycle for the point detector and the velocity flow in the current cycle for the section detector, The controller 640 can determine whether the velocity flow in the current period and the velocity flow in the current period for the interval detector for the continuously determined point detector are consistent.

Specifically, the determination unit 640 determines the coincidence ratio between the pattern of the velocity flow in the current cycle and the pattern of the velocity flow in the current cycle to the continuously determined gap detector for the continuously detected point detector, It is possible to judge whether or not there is a coincidence between the velocity flow in the current period and the velocity flow in the current period to the section detector which are continuously discriminated.

In addition, the determination unit 640 determines whether the variance of the velocity difference in the current cycle for the continuously detected point detector and the velocity difference between the velocity flows in the current period for the continuously determined interval detector is greater than a predetermined upper limit value It is possible to judge whether or not the velocity flow in the current period and the velocity flow in the current period to the interval detector for the continuously discriminated point detector are coincident with each other by judging whether or not they are included in the preset lower limit value.

At this time, the determination unit 640 determines the velocity flow in the current period for the continuously detected point detector and the current period for the period detector in accordance with the time-based classification classified based on the peak time period and the non- It is possible to judge whether or not the speed flow in &lt; RTI ID = 0.0 &gt;

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI &gt; or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (15)

A method for determining homogeneity of a traffic condition between a point detector and a section detector,
Periodically collecting a traffic speed value in each of the previous periods and the following periods based on the current period, for each of the point detector and the section detector;
A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant Gt; a &lt; / RTI &gt;state;
For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, Wherein the speed flow is divided into a state of maintenance, reduction and increase according to a change of the value of the traffic speed; And
Determining whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector;
To determine the homogeneity of the communication situation. The method according to claim 1,
Wherein the step of determining the velocity flow in the current period comprises:
Calculating a discrimination speed range by reflecting a difference between speed patterns in each of the plurality of periods;
Setting a threshold of a plurality of discrimination indices according to whether the calculated discrimination speed range is equal to or higher than a preset reference speed;
Determining each of the plurality of determination indices based on the set threshold value and a traffic speed value in each of the plurality of periods; And
Determining a velocity flow in the current period based on a determination result of each of the plurality of determination indicators;
To determine the homogeneity of the communication situation. 3. The method of claim 2,
The step of determining each of the plurality of discrimination indices
Determining a velocity flow of each of the plurality of discrimination indicators as one of maintenance, decrease, or increase,
Wherein the step of determining the velocity flow in the current period based on the determination result of each of the plurality of determination indicators
And determining the velocity flow in the current period as any one of a state of maintaining, decreasing, or increasing, based on a determination result of the velocity flow of each of the plurality of the discrimination indices. 3. The method of claim 2,
Wherein the step of determining the velocity flow in the current period based on the determination result of each of the plurality of determination indicators
Assigning weights to the plurality of discrimination indicators; And
Determining a velocity flow in the current period based on a determination result of each of the plurality of weighted evaluation indicators;
To determine the homogeneity of the communication situation. 5. The method of claim 4,
The step of weighting the plurality of discrimination indicators
A step of assigning weights to the discrimination indexes related to the traffic speed values in the current period and the discrimination indexes related to the traffic speed values in the subsequent periods among the plurality of discrimination indexes
To determine the homogeneity of the communication situation. The method according to claim 1,
Wherein the step of determining the velocity flow in the current period comprises:
Continuously determining a velocity flow in the current period for the point detector and a velocity flow in the current period for the section detector in response to the change in the current period as time passes;
Lt; / RTI &gt;
Wherein the step of determining whether a velocity flow in the current period for the point detector and a velocity flow in the current period for the section detector match
Determining whether there is a coincidence between the velocity flow in the current period and the velocity flow in the current period for the interval detector for the continuously detected point detector;
To determine the homogeneity of the communication situation. The method according to claim 6,
Wherein the step of determining whether there is a consistency between the continuously detected speed flow in the current period and the speed flow in the current period to the section detector
Wherein the velocity detector detects a velocity signal in the current period for the continuously detected point detector and a velocity flow in the current period for the section detector according to a time zone classification based on peak time periods and non peak time zones of the communication situation A step of judging whether or not there is a match
To determine the homogeneity of the communication situation. The method according to claim 6,
Wherein the step of determining whether there is a consistency between the continuously detected speed flow in the current period and the speed flow in the current period to the section detector
Determining a coincidence rate between the pattern of the velocity flow in the current period for the continuously detected spot detector and the pattern of the velocity flow in the current period for the continuously determined spot detector;
To determine the homogeneity of the communication situation. The method according to claim 6,
Wherein the step of determining whether there is a consistency between the continuously detected speed flow in the current period and the speed flow in the current period to the section detector
Wherein the variance of the velocity difference between the continuously detected velocity sensor in the current period and the velocity difference in the current period for the continuously detected period sensor is determined by a predetermined upper limit value and a preset lower limit value Is included in the step
To determine the homogeneity of the communication situation. A computer program stored in a medium for executing a method for determining the homogeneity of a traffic condition between a point detector and a section detector in combination with a computer embodying an electronic device,
A method for determining the homogeneity of the communication situation
Periodically collecting a traffic speed value in each of the previous periods and the following periods based on the current period, for each of the point detector and the section detector;
A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant Gt; a &lt; / RTI &gt;state;
For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, Wherein the speed flow is divided into a state of maintenance, reduction and increase according to a change of the value of the traffic speed; And
Determining whether there is a match between the velocity flow in the current period for the point detector and the velocity flow in the current period for the section detector;
&Lt; / RTI &gt; A system for determining homogeneity of a traffic condition between a point detector and a section detector,
A collecting unit for periodically collecting traffic speed values in each of the previous periods and the subsequent periods based on the current period, for each of the point detector and the section detector;
A speed pattern in each of a plurality of periods including the current period, the previous periods, and the following periods, for each of the point detector and the section detector, the speed pattern being smooth, slow and stagnant - an acquiring unit for acquiring a state of the vehicle;
For each of the point detector and the section detector, a velocity in the current period in accordance with a sensitivity of a velocity change reflecting a velocity pattern in each of the plurality of periods, based on a traffic speed value in each of the plurality of periods, A determination unit for determining that the speed flow is classified into a state of maintenance, reduction, and increase according to a change in the value of the traffic speed; And
A determination unit for determining whether or not a speed flow in the current cycle for the point detector and a speed flow in the current cycle for the section detector match,
To determine the homogeneity of the communication situation. 12. The method of claim 11,
The determination unit
Calculating a discrimination speed range by reflecting a difference between speed patterns in each of the plurality of periods, setting a threshold of a plurality of discrimination indices according to whether the calculated discrimination speed range is equal to or higher than a preset reference speed, Wherein the determination means determines each of the plurality of determination indices based on the set threshold value and the traffic speed value in each of the plurality of periods and determines a speed flow in the current period based on a determination result of each of the plurality of determination indices To determine the homogeneity of the communication situation. 13. The method of claim 12,
The determination unit
Wherein a weight is assigned to the plurality of discrimination indices and a velocity flow in the current period is determined based on a determination result of each of the plurality of weighted discrimination indexes. 12. The method of claim 11,
The determination unit
Continuously determines a velocity flow in the current period for the point detector and a velocity flow in the current period for the section detector in response to the change of the current period in accordance with the passage of time,
The determination unit
Wherein the controller determines whether there is a coincidence between the velocity flow in the current period and the velocity flow in the current period for the section detector that are continuously determined. 15. The method of claim 14,
The determination unit
Wherein the velocity detector detects a velocity signal in the current period for the continuously detected point detector and a velocity flow in the current period for the section detector according to a time zone classification based on peak time periods and non peak time zones of the communication situation To determine whether or not there is a match.

Images