CN110570649A - Method for detecting flow of motor vehicle, method for detecting working state of equipment and corresponding devices - Google Patents

Method for detecting flow of motor vehicle, method for detecting working state of equipment and corresponding devices Download PDF

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Publication number
CN110570649A
CN110570649A CN201810569313.7A CN201810569313A CN110570649A CN 110570649 A CN110570649 A CN 110570649A CN 201810569313 A CN201810569313 A CN 201810569313A CN 110570649 A CN110570649 A CN 110570649A
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motor vehicle
ratio
vehicle flow
time
flow
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CN201810569313.7A
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CN110570649B (en
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苏岳龙
王宇静
吴泽驹
董振宁
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Alibaba China Co Ltd
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Autonavi Software Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count

Abstract

the invention discloses a motor vehicle flow detection method, a device working state detection method and a corresponding device, and mainly aims to dig the application value of navigation track information in the aspect of road traffic management, and dig the motor vehicle flow of any section of a road by using the navigation track information or detect the working state of flow detection equipment so as to ensure the detection efficiency and accuracy of the motor vehicle flow of the road. The main technical principle of the invention is as follows: calculating the mean value and the mean variance of the ratio of the number of the navigation tracks in the road to the motor vehicle flow based on the historical motor vehicle flow detected by the motor vehicle flow detection equipment and the number of the navigation tracks at the same position; and calculating the motor vehicle flow of the section by using the mean value of the ratio and the number of the navigation tracks of any section of the road at the specified time, or judging whether the working state of the motor vehicle is healthy or not by using the mean value of the ratio and the mean square error of the ratio and combining the motor vehicle flow detected by the motor vehicle flow detection equipment at the specified time.

Description

Method for detecting flow of motor vehicle, method for detecting working state of equipment and corresponding devices
Technical Field
The invention relates to the technical field of traffic investigation, in particular to a method and a device for detecting the flow of a motor vehicle and a method and a device for detecting the working state of motor vehicle flow detection equipment.
Background
the road motor vehicle flow (traffic volume) is indispensable reference data for urban road network construction planning, road traffic capacity adjustment and the like. The prior art generally detects the flow rate of road motor vehicles by a vehicle flow rate detection device buried in a road, such as a traffic flow rate detection coil or the like. However, such a detection method is limited by the number of embedded detection devices and the working state thereof, and therefore, along with the improvement of road construction speed and the increasing accuracy of road management requirements, it is urgently needed to provide a more reasonable technical scheme to ensure the efficiency and accuracy of detecting the flow of the road motor vehicles.
Disclosure of Invention
in view of the above problems, the present invention provides a method and an apparatus for detecting vehicle traffic, and a method and an apparatus for detecting the operating state of a vehicle traffic detection device, and mainly aims to find the application value of navigation track information in road traffic management, and calculate the vehicle traffic on any section of a road by using the navigation track information, or detect the operating state of the traffic detection device, so as to ensure the efficiency and accuracy of detecting the vehicle traffic on the road.
In order to achieve the purpose, the invention mainly provides the following technical scheme:
in one aspect, the invention provides a method for detecting a flow rate of a motor vehicle, which specifically comprises the following steps:
acquiring the installation position of the motor vehicle flow detection equipment on a road;
Obtaining the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
counting the number of navigation tracks passing through the section of the road where the mounting position is located at a preset first time;
acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
acquiring a mean value of the ratios based on all the acquired ratios;
obtaining a ratio mean square error based on all the obtained ratios and the mean value of the ratios;
Judging whether the mean square error of the ratio is lower than a preset standard deviation threshold value or not, if so, acquiring a position to be detected of the flow of the motor vehicle on a road where the motor vehicle flow detection equipment is located;
counting the number of navigation tracks passing through a road section where the position to be detected of the motor vehicle flow is located at a preset second time;
and dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the mean value of the ratio to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow in the second time.
On the other hand, the invention provides a method for detecting the working state of the motor vehicle flow detection equipment, which specifically comprises the following steps:
acquiring the installation position of the motor vehicle flow detection equipment on a road;
obtaining the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
Counting the number of navigation tracks passing through the section of the road where the mounting position is located at a preset first time;
Acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
acquiring a mean value of the ratios based on all the acquired ratios;
obtaining a ratio mean square error based on all the obtained ratios and the mean value of the ratios;
obtaining a ratio interval value corresponding to a preset confidence interval based on the mean value and the mean variance of the ratio;
acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at a preset second time;
counting the number of navigation tracks passing through a road section where the installation position of the motor vehicle flow detection equipment is located at a preset second time;
judging whether the difference value between the number of the navigation tracks corresponding to the second time and the flow of the motor vehicle is less than or equal to 0;
If the current time is less than or equal to 0, acquiring the ratio of the number of the navigation tracks corresponding to the second time to the flow of the motor vehicle;
And comparing the ratio of the number of the navigation tracks corresponding to the second time to the motor vehicle flow with the ratio interval corresponding to the preset confidence interval, and if the ratio falls into any one ratio interval, determining that the working state of the motor vehicle flow detection equipment is a healthy state.
in another aspect, the present invention provides a device for detecting a flow rate of a motor vehicle, including:
the device comprises an installation position acquisition unit, a control unit and a control unit, wherein the installation position acquisition unit is used for acquiring the installation position of the motor vehicle flow detection equipment on a road;
The motor vehicle flow acquisition unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
The first navigation track counting unit is used for counting the number of navigation tracks passing through the section of the road where the installation position is located at a preset first time;
the ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
the mean value calculating unit is used for acquiring the mean value of the ratio values based on all the acquired ratio values;
The ratio mean square error calculation unit is used for obtaining the ratio mean square error based on all the obtained ratios and the mean value of the ratios;
The position to be detected acquiring unit is used for judging whether the mean square error of the ratio is lower than a preset standard deviation threshold value, and if so, acquiring a position to be detected of the flow of the motor vehicle on a road where the motor vehicle flow detection equipment is located;
The second navigation track counting unit is used for counting the number of navigation tracks passing through a road section where the position to be detected of the flow of the motor vehicle is located at a preset second time;
And the motor vehicle flow calculating unit is used for dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the mean value of the ratio to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow in the second time.
In another aspect, the present invention provides a device for detecting an operating state of a vehicle flow detection device, including:
The device comprises an installation position acquisition unit, a control unit and a control unit, wherein the installation position acquisition unit is used for acquiring the installation position of the motor vehicle flow detection equipment on a road;
the first motor vehicle flow acquisition unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
The first navigation track counting unit is used for counting the number of navigation tracks passing through the section of the road where the installation position is located at a preset first time;
the first ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
the mean value calculating unit is used for acquiring the mean value of the ratio values based on all the acquired ratio values;
The ratio mean square error calculation unit is used for obtaining the ratio mean square error based on all the obtained ratios and the mean value of the ratios;
the ratio interval determining unit is used for obtaining a ratio interval value corresponding to a preset confidence interval based on the mean value and the mean variance of the ratio;
the second motor vehicle flow acquiring unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detecting equipment at a preset second time;
the second navigation track counting unit is used for counting the number of navigation tracks passing through a road section where the installation position of the detection equipment is located at a preset second time;
the difference value judging unit is used for judging whether the difference value between the number of the navigation tracks corresponding to the second time and the motor vehicle flow is less than or equal to 0 or not;
the second ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the second time to the flow of the motor vehicle if the difference value is less than or equal to 0;
and the working state determining unit is used for comparing the ratio of the number of the navigation tracks corresponding to the second time to the motor vehicle flow with the ratio interval corresponding to the preset confidence interval, and if the ratio falls into any one ratio interval, determining that the working state of the motor vehicle flow detection equipment is a healthy state.
in another aspect, the present invention provides a storage medium for storing a computer program, where the program, when running, controls a device in which the storage medium is located to execute the above-mentioned method for detecting a vehicle flow rate, or controls a device in which the storage medium is located to execute the above-mentioned method for detecting an operating state of a device for detecting a vehicle flow rate.
by means of the technical scheme, the method and the device for detecting the motor vehicle flow detect the vehicle flow of the road section where the motor vehicle flow detection device is located and the navigation track of the road section where the installation position of the motor vehicle flow detection device is located through the motor vehicle flow detection device, the ratio relation between the navigation track and the actual vehicle flow is excavated, and then the actual vehicle flow of the road section is calculated through the ratio relation and the navigation track of the road section where the motor vehicle flow detection device is not installed in any one of the roads. Meanwhile, by utilizing the ratio relation between the excavated actual vehicle flow and the navigation track, the invention also provides a method and a device for detecting the working state of the motor vehicle flow detection equipment. Therefore, the technical scheme provided by the invention jointly analyzes the navigation track information and the motor vehicle flow information detected by the motor vehicle flow detection equipment, excavates the ratio relation of the navigation track to the actual vehicle flow, and applies the ratio relation to the road traffic management aspect, thereby improving the detection efficiency and accuracy of the road motor vehicle flow, and reducing the requirements of the current road on the motor vehicle flow detection equipment and the equipment maintenance cost.
the foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
drawings
various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating a method for detecting a flow rate of a motor vehicle according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for detecting an operating state of a vehicle flow rate detecting device according to an embodiment of the present invention;
FIG. 3 is a block diagram showing the components of a flow rate detecting device for a motor vehicle according to an embodiment of the present invention;
FIG. 4 is a block diagram showing another flow rate detecting device for a motor vehicle according to an embodiment of the present invention;
fig. 5 is a block diagram showing the components of an operating state detecting device of a vehicle flow rate detecting apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The embodiment of the invention provides a motor vehicle flow detection method, which combines a navigation track formed when a motor vehicle runs on a road with the actual vehicle flow of the road detected by the conventional motor vehicle flow detection equipment to excavate the motor vehicle flow of any section (such as the section of the road without the motor vehicle flow detection equipment) in the road. The specific steps of the method are shown in fig. 1, and the method comprises the following steps:
Step 101, obtaining the installation position of the motor vehicle flow detection equipment on the road.
the motor vehicle flow detection device is a device which is fixedly installed on a road and is used for detection, such as an induction coil vehicle detector, a video vehicle detector, a microwave vehicle detector and the like. The installation location of these devices is generally referred to as a geographic coordinate location.
step 102, obtaining the vehicle flow detected by the vehicle flow detection device at least one preset first time.
The preset first time may be one first time set according to a specific application, or two or more first times set, and the first time may be a specific time point or a time period. When the first time is a time point, when the data of the flow of the motor vehicle is obtained, the flow value corresponding to the time point is obtained; and when the first time is a time period and the data of the vehicle flow rate is acquired, acquiring the vehicle flow rate accumulated value in the time period. For example, the first time is 7 points of 1 month and 1 day, when the first time is defined as the time point, the acquired vehicle flow rate value may be an instantaneous value, or may be a value of a current period read according to a sampling period, for example, if the sampling period is 10 minutes, the acquired vehicle flow rate is a value within the sampling period from 6 points 50 to 7 points; and when the first time is defined as a time period, the first time is defined as a sampling period, and the acquired vehicle flow value is a vehicle flow accumulated value between 6 and 7 points.
Generally, the vehicle flow rate obtained in this step is corresponding data extracted from historical vehicle flow rate data detected by the vehicle flow rate detection device according to a preset first time.
Further, the detected vehicle flow rate refers to a vehicle flow rate of a road section detected by the vehicle flow rate detection device at the installation position. Since the installation position is generally a geographical coordinate point, and the position of the road section is represented by a group of geographical coordinate points according to the width of the road, the traffic flow detected by the vehicle flow detection device in this step is traffic flow data corresponding to a road section, and the width of the road section is preset, for example, for a road with up and down 4 lanes, the traffic flow detected by a vehicle flow detection device may be a traffic flow of two-way 4 lanes, a traffic flow of single 2 lanes, or a traffic flow of a single lane.
and 103, counting the number of navigation tracks passing through the road section where the installation position of the motor vehicle flow detection equipment is located at the preset first time.
The quantity value in the step is counted based on a historical navigation track, the navigation track is composed of a series of navigation track points, each navigation track point at least comprises two attributes of a geographical coordinate position and time, and when judging whether the navigation track passes through the installation position of the motor vehicle flow detection device, if the navigation track comprises any position point of a road section where the installation position of the motor vehicle flow detection device is located, or the distance from the navigation track point to the road section in the navigation track is smaller than a preset distance threshold value, the navigation track can be determined to be the navigation track passing through the road section where the installation position of the motor vehicle flow detection device is located.
and 104, acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle.
The method comprises the step of calculating the ratio of the vehicle using the navigation application to the flow of all the motor vehicles at the road position where the motor vehicle flow detection equipment is located in the same first time.
generally, vehicles running on a road do not use a navigation application by one hundred percent, and a vehicle flow detected by a detection device refers to the number of all vehicles passing through a detected road section, and a certain number of vehicles in the vehicles can use the navigation application to generate navigation tracks, and the number of vehicles using the navigation application needs to be obtained by counting the navigation tracks, so that the number of the navigation tracks is smaller than or equal to the actual vehicle flow under normal conditions.
in addition, the same first time refers to that, in the case of data corresponding to more than two first times, the ratio of the number of the navigation tracks of all the vehicle flow rate detection devices to the vehicle flow rate in the same first time is calculated, for example, the first time is an integral point time with a sampling period of 1 hour, and the number of the navigation tracks and the vehicle flow rate obtained through the steps 102 and 103 include data of a plurality of first times, such as 8 points, 9 points, and 17 points, when the ratio is calculated, the ratio of the number of the navigation tracks corresponding to 8 points, 9 points, and 17 points to the vehicle flow rate is calculated, that is, a corresponding ratio is obtained at each integral point time.
and 105, acquiring a mean value of the ratios based on all the acquired ratios.
If only one detection device is installed on the road, the average value of the ratios refers to the average value of the ratios corresponding to the detection device at a plurality of first times, and if a plurality of detection devices are installed on the road, steps 101 to 105 of the invention can obtain the ratio corresponding to each detection device at least one first time, obtain the average value of the ratios of the road section corresponding to the detection device after averaging, and then calculate the average value of the ratio average values of all the detection devices to obtain the average value of all the ratios, that is, the average value of all the ratios corresponding to all the detection devices at a plurality of first times. It can be seen that the average value of the ratios obtained in this step is the ratio of the number of the navigation tracks in the road to the flow of the motor vehicle. In the invention, the ratio of the number of the vehicles using the navigation application in the default road to the total traffic flow in the road is relatively stable, and through statistical analysis of historical data, the average value of the obtained ratio can more accurately reflect the ratio of the whole road.
and step 106, obtaining the mean square error of the ratio based on all the obtained ratios and the mean value of the ratios.
and 107, judging whether the mean square error of the ratio is lower than a preset standard deviation threshold value, and if so, acquiring a position to be detected of the flow of the motor vehicle on a road where the motor vehicle flow detection equipment is located.
in the above two steps, the probability that the number of the vehicle flow and the number of the navigation tracks obtained in the above step 102 conform to the defined data distribution is calculated based on probability statistics. For example, assuming that the number of the vehicle flow and the number of the navigation tracks conform to the data distribution rule of normal distribution, it can be determined whether the acquired data of the vehicle flow meet the requirements of subsequent statistical analysis by calculating the ratio mean square error and determining the size of the ratio mean square error and the preset standard deviation threshold. That is, this step is to verify whether the vehicle flow rate obtained in the above step and the number of the navigation tracks meet the requirements of data statistics.
If the data of the number of the navigation tracks and the motor vehicle flow meets the data discreteness requirement of probability statistics, at this time, any motor vehicle flow to-be-detected position can be selected on the road, and it needs to be explained that the motor vehicle flow to-be-detected position is generally a position (a section at a certain position in the road) where no motor vehicle flow detection equipment is installed.
if the data is not consistent, the data indicating the number of the navigation tracks and the motor vehicle flow is too discrete, at this time, the data acquired in the steps are abandoned, and when the data is actually applied, the data corresponding to the first time appointed by the user is informed that the data is not consistent, the user needs to appoint the first time again, and the steps are repeatedly executed.
And step 108, counting the number of the navigation tracks passing through the road section where the position to be detected of the flow of the motor vehicle is located at the preset second time.
the preset second time is similar to the first time, and may be a time point or a time period, and of course, the present invention does not limit the time range specified by the second time, and the second time is mainly used for being different from the first time.
The average value of the ratio of the vehicle using the navigation application to the motor vehicle flow in the road can be obtained through the previous steps, and the average value is obtained through statistics of all installed motor vehicle flow detection devices in the road, so that the problem of inaccurate data caused by detection errors of individual devices in the road can be avoided. Based on the average value and the number of the navigation tracks of the position to be detected, the flow of the motor vehicle passing through the position to be detected can be reversely calculated.
And step 109, dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the mean value of the ratio to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow in the second time.
the following describes the method for detecting the flow rate of a motor vehicle according to the present invention in detail by way of an example of practical application.
as shown in table 1:
As shown in the table, the preset first time is a specific time point, such as 1 month and 1 day in 2018, 01:00, and specifically, n motor vehicle flow detection devices are arranged on the road, the invention obtains the motor vehicle flow of the flow detection devices per hour from 1 month and 1 day in 2018 to 31 days, and at the same time, the number of navigation tracks corresponding to the first time, i.e. the navigation flow, is also calculated according to the statistical historical navigation track information, and it can be seen from the specific data in the table that the number of the navigation tracks at the same position is obviously less than the motor vehicle flow at the same first time.
According to the data in table 1, the ratio of the number of the navigation tracks of the road section where the detection device 1 is located at 1 point of 1 month and 1 day in 2018 to the motor vehicle flow is: 1200/3600 is 0.33, namely 33%, and so on, the ratio of each flow rate detection device at different first time is calculated (specifically, demonstration of calculation one by one is not performed), and then the average value of the calculation is obtained to obtain the average value of the ratio of the number of the navigation tracks in the road to the flow rate of the running motor vehicle, namely the average value of the ratio is 35%, that is, 35 vehicles in 100 vehicles running on the road are used for navigation application on average.
According to the obtained ratio mean value of 35%, the ratio mean square error (standard deviation) of each section detection device in the table is further calculated to be 2%, wherein the calculation process of the mean square error is as follows: and obtaining the difference value of each ratio value and the mean value of the ratio values and the square sum of the difference values, and then calculating the arithmetic square root of the square sum of the difference values to obtain the standard deviation. For example, if the ratio of the detection device 1 is 33%, the ratio of the detection device 2 is 34%, the ratio of the detection device 3 is 36%, and the ratio of the detection device 4 is 37%, the mean value of the ratios calculated from the ratios of the four detection devices is 35%, then the corresponding mean square error is: calculation (33-35)2+(34-35)2+(36-35)2+(37-35)2Re-calculation (10/4) No. 101/2after rounding off to 1.58, the value obtained is 2, converted to a mean square error of the ratio of 2%.
and comparing the obtained ratio mean square error with a preset standard difference threshold, and if the ratio mean square error is smaller than the standard difference threshold, indicating that the distribution discreteness of the data in the table meets the requirement and the method can be used for subsequent calculation. Otherwise, the data in the table is considered to be too scattered to be used for data statistics, and at this time, the user is required to reset the first time to acquire new data.
When the mean square error of the ratio in table 1 meets the requirement, then, the vehicle flow of the position to be detected of the vehicle flow is calculated according to the obtained 35% of the mean value of the ratio and the number of navigation tracks of any section position (position to be detected of the vehicle flow) in the road in a certain time period (preset second time). Assuming that the (n +1) position of the road is designated as the position to be detected for the vehicle flow rate, and the number of navigation tracks of the (n +1) position at the preset second time is 1420, the vehicle flow rate of the (n +1) position at the second time is 1420/0.35-4057.
as can be seen from the above example, the method for detecting a vehicle flow provided by the embodiment of the present invention is an application of a data analysis result based on navigation track information in road flow detection, and can calculate a vehicle flow passing through any section position in a road in a specified time period.
further, on the basis of the above embodiment, since the calculated vehicle flow rate is estimated based on the number of the navigation tracks and the detection data of all the vehicle flow rate detection devices installed in the road. The confidence of the data of the calculated vehicle flow rate may be determined based on the distribution of statistical data, for example, assuming that the vehicle flow rate data on the road follows a normal distribution, the value of the vehicle flow rate on the road has a detected flow rate section with a 68% probability of falling within a range between plus and minus one standard deviation of the calculated average value, a detected flow rate section with a 95% probability of falling within a range between plus and minus two standard deviation of the calculated average value, and a detected flow rate section with a 99% probability of falling within a range between plus and minus three standard deviation of the calculated average value. According to the flow rate ratio mean value and the standard deviation obtained in table 1, if the flow rate of the navigation track in the second time is calculated to be 1420 vehicles/hour, the detected flow rate of the road section is reversely deduced to be 1420/0.35-4057. In combination with the corresponding standard deviation of 2% and the ratio mean of 35%, it can be determined that at confidence levels of 68%, 95% and 99%, respectively, the corresponding confidence intervals are [ 33%, 37% ], [ 31%, 39% ], [ 29%, 41% ], and the calculated vehicle flow intervals are shown in table 2:
TABLE 2
in table 2, "(n + 1)" indicates the position to be detected for the vehicle flow rate, and the calculation results show that the actual vehicle flow rate of the road section where the position to be detected for the vehicle flow rate is located at the second time, i.e., 10 o' clock 4/1/2018, under the normal state, 68% of the probability falls within the interval [3837,4303], 95% of the probability falls within the interval [3641,4580], and 99% of the probability falls within the interval [3463,4896 ].
Therefore, when the motor vehicle flow of the position to be detected of the motor vehicle flow in the road is calculated, the confidence coefficient interval of the motor vehicle flow can be obtained, and the confidence coefficient of the obtained motor vehicle flow is determined.
After the application of the embodiment is actually tested and applied in the expressway management department, the effect is reduced by 80% compared with the traditional hardware equipment deployment cost, and meanwhile, the flow acquisition efficiency of the newly added motor vehicles is improved by 80%.
In addition to the embodiment described in fig. 1, the ratio relationship between the excavated navigation track and the actual vehicle flow may also be applied to real-time detection of the operating state of a vehicle flow detecting device installed in a road, specifically as shown in fig. 2, an embodiment of the present invention further provides a method for detecting the operating state of a vehicle flow detecting device, which includes the following specific steps:
Step 201, obtaining the installation position of the motor vehicle flow detection equipment on the road.
Step 202, obtaining the vehicle flow detected by the vehicle flow detection device at least one preset first time.
And step 203, counting the number of navigation tracks passing through the road section where the installation position of the motor vehicle flow detection equipment is located at the preset first time.
And 204, acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle.
step 205, obtaining a mean value of the ratios based on all the obtained ratios.
and step 206, obtaining the mean square error of the ratio based on all the obtained ratios and the mean value of the ratios.
The above steps are the same as steps 101 to 106 in fig. 1, and the mean value and the mean variance of the ratio of the vehicle using the navigation application in the road to the total vehicle flow rate running on the road are calculated according to the historical detection data of the vehicle flow rate detection device in the road, that is, the at least one preset vehicle flow rate corresponding to the first time and the number of the corresponding navigation tracks, and specific description may refer to the corresponding steps in fig. 1, and details are not repeated here.
And step 207, obtaining a ratio interval value corresponding to the preset confidence interval based on the mean value and the mean variance of the ratio.
in this step, when a ratio interval is determined, it is first determined that the mean square error of the ratio meets a preset standard deviation threshold, so as to determine that the obtained data discreteness of the detected vehicle flow and the number of corresponding navigation tracks meets a defined data distribution rule, for example, when the data obeys normal distribution, the number of navigation tracks of any section in a road and the value of the ratio of the vehicle flow have a probability of 68% falling within a ratio interval of plus or minus 1 ratio mean square error of the mean value, taking the rule of normal distribution as an example.
and the ratio interval value corresponding to the preset confidence interval is obtained in the step and is used for determining that the working state of the motor vehicle flow detection equipment corresponding to the ratio falling in the interval is normal. It should be noted that there is no necessary logical order relationship between the steps and the following steps 208 to 211.
and step 208, acquiring the vehicle flow detected by the vehicle flow detection device at a preset second time.
And 209, counting the number of navigation tracks passing through the road section where the installation position of the motor vehicle flow detection device is located at a preset second time.
Since it is determined whether the operation state of the vehicle flow rate detection device at the preset second time is normal, steps 208 and 209 of this embodiment are to obtain the vehicle flow rate detected by the vehicle flow rate detection device corresponding to the preset second time and count the number of the obtained navigation tracks according to the navigation track information, respectively.
And step 210, judging whether the difference value between the number of the navigation tracks corresponding to the second time and the motor vehicle flow is less than or equal to 0.
the method comprises the step of judging whether the difference value between the number of the navigation tracks of the position of the same motor vehicle flow detection device and the detected motor vehicle flow is positive or not in a preset second time. That is, the number of the navigation tracks at the same position at the same time and the magnitude of the vehicle flow are determined, as can be seen from the description in the embodiment of fig. 1, in a normal case, the number of the navigation tracks is smaller than or equal to the vehicle flow, therefore, only when the difference is smaller than or equal to 0, it is determined that the obtained data is normal, and the operating state of the vehicle flow detecting device can be further determined based on the data, that is, step 211 is executed; when the difference is greater than 0, the number of the navigation tracks is obtained through statistical analysis of the navigation track information, and the reliability is high, so that the data detected by the motor vehicle flow detection equipment at the moment can be determined to have problems, and therefore, the working state of the motor vehicle flow detection equipment is determined to be a fault, and maintenance personnel are required to be arranged for maintenance.
and step 211, acquiring the ratio of the number of the navigation tracks corresponding to the second time to the flow of the motor vehicle.
when the difference value meets the judgment of step 210, it indicates that the vehicle flow obtained by the vehicle flow detection device at the second time is normal, and to determine whether the vehicle flow is accurate or reliable, it is necessary to further calculate a ratio between the number of navigation tracks and the vehicle flow, and execute step 212 to make the judgment.
And step 212, comparing the ratio of the number of the navigation tracks corresponding to the second time to the motor vehicle flow with a ratio interval corresponding to a preset confidence interval, and if the ratio falls into any one ratio interval, determining that the working state of the motor vehicle flow detection equipment is a healthy state.
the step is to compare the ratio calculated in step 211 with the ratio interval obtained in step 207, and when the ratio falls within the obtained ratio interval, it is determined that the operating state of the vehicle flow rate detection device is a healthy state.
correspondingly, if the ratio does not fall into the obtained ratio interval, the deviation of the motor vehicle flow detected by the motor vehicle flow detection equipment is determined, at the moment, the detection precision of the motor vehicle flow detection equipment is determined to be not up to the standard, and the precision of the detection equipment needs to be corrected.
with respect to the execution steps shown in fig. 2, the following will further describe the method for detecting the operating state of the vehicle flow rate detecting device provided by the present invention with reference to the data in table 1.
the data in table 1 correspond to the above steps 201 to 206, and after obtaining the mean value of the ratio of the number of the navigation tracks in the road to the flow of the motor vehicle and the mean square difference of the ratio, further obtain the flow of the motor vehicle at the second time and the corresponding number of the navigation tracks at the same position of different motor vehicle flow detection devices in the road, specifically refer to the data in table 3:
TABLE 3
wherein, when the ratio mean square error of 2% in table 1 meets a preset standard deviation threshold and the set data obeys normal distribution, determining a preset confidence interval comprises: confidence interval is [ 29%, 41% ] when confidence is 99%; confidence interval is [ 31%, 39% ] when confidence is 95%; the confidence interval is [ 33%, 37% ] with a 68% confidence level. According to the set confidence interval and the judgment result in the table 3, the flow detection device 1 judges that the working state is a fault because the actual detection flow is lower than the navigation track flow; the flow detection device 4 actually detects a flow of 0 due to the existence of the navigation track flow, which indicates that the working state is also in a fault state; for the flow detection device 2, the calculated flow rate ratio is 98%, which obviously exceeds the range of the preset confidence interval, so that the working state is judged to be not up to the standard; only the flow rate detecting device 3 is in a normal operating state.
As can be seen from the above steps in the method for detecting the working state of the motor vehicle flow detection device shown in fig. 2, the embodiment of the present invention can simultaneously monitor a plurality of motor vehicle flow detection devices on a road in real time, and not only can distinguish whether the working state of the device is working or faulty, but also can analyze whether the precision of the motor vehicle flow detected by the device in the working state meets the standard, thereby realizing subdivision of the working state degree of the device, facilitating a user to make corresponding maintenance management measures for the specific working state of the device, and thus reducing a large amount of manual on-site inspection costs. And according to the analysis of the centralized monitoring result, the device management and maintenance personnel can be more facilitated to reasonably arrange the time and route of field maintenance, so that the working efficiency of the device operation and maintenance is improved.
further, as an implementation of the method shown in fig. 1, an embodiment of the present invention provides a vehicle flow rate detection device, which is capable of combining a navigation track formed when a vehicle travels on a road with an actual vehicle flow rate of the road detected by an existing vehicle flow rate detection device to excavate a vehicle flow rate of an arbitrary section of the road. For convenience of reading, details in the foregoing method embodiments are not described in detail again in this apparatus embodiment, but it should be clear that the apparatus in this embodiment can correspondingly implement all the contents in the foregoing method embodiments. As shown in fig. 3, the apparatus specifically includes:
an installation position acquisition unit 301 for acquiring an installation position of the motor vehicle flow rate detection device on a road;
A motor vehicle flow rate obtaining unit 302, configured to obtain a motor vehicle flow rate detected by the motor vehicle flow rate detection device at least one preset first time;
The first navigation track counting unit 303 is configured to count the number of navigation tracks of a road section where the installation position of the motor vehicle flow detection device is located, where the navigation tracks are obtained by the installation position obtaining unit 301 at a preset first time;
a ratio calculation unit 304, configured to obtain a ratio between the number of navigation tracks counted by the first navigation track counting unit 303 and the vehicle flow rate obtained by the vehicle flow rate obtaining unit 302 at the same first time;
a mean value calculating unit 305, configured to obtain a mean value of the ratios based on all the ratios obtained by the ratio calculating unit 304;
A ratio mean square error calculation unit 306, configured to obtain a ratio mean square error based on all the ratios obtained by the ratio calculation unit 304 and a mean of the ratios obtained by the mean calculation unit 305;
a position to be detected acquiring unit 307, configured to determine whether the ratio mean square error acquired by the ratio mean square error calculating unit 306 is lower than a preset standard deviation threshold, and if so, acquire a position to be detected of the vehicle flow on a road where the vehicle flow detecting device is located;
the second navigation track counting unit 308 is configured to count the number of navigation tracks of a road section where the motor vehicle flow to be detected is located, where the navigation tracks are obtained by the to-be-detected position obtaining unit 307 at a preset second time;
The motor vehicle flow calculating unit 309 is configured to divide the number of the navigation tracks passing through the position to be detected of the motor vehicle flow counted by the second navigation track counting unit 308 by the mean value of the ratio obtained by the mean value calculating unit 305, so as to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow within the second time.
Further, as shown in fig. 4, the apparatus further includes:
A flow interval determining unit 310, configured to determine a motor vehicle flow interval, where the motor vehicle flow at the position to be detected of the motor vehicle flow is in a preset confidence interval, by using the mean value of the ratio obtained by the mean value calculating unit 305 and the mean square error of the ratio obtained by the mean square error calculating unit 306.
Further, as shown in fig. 4, the traffic interval determining unit 310 specifically includes:
A ratio interval determination module 3101, configured to obtain a ratio interval corresponding to a preset confidence interval based on a mean value and a mean variance of the ratio;
The flow interval determination module 3102 is configured to divide the number of navigation tracks passing through the position to be detected of the vehicle flow by the ratio determined by the ratio range determination module 3101, and obtain a vehicle flow interval passing through the position to be detected of the vehicle flow corresponding to a preset confidence interval.
further, as an implementation of the method shown in fig. 2, an embodiment of the present invention further provides a device for detecting an operating state of a vehicle flow rate detection device, where the device is capable of monitoring a working condition of the vehicle flow rate detection device in real time, so as to reduce a management and maintenance cost of the vehicle flow rate detection device on a road. For convenience of reading, details in the foregoing method embodiments are not described in detail again in this apparatus embodiment, but it should be clear that the apparatus in this embodiment can correspondingly implement all the contents in the foregoing method embodiments. As shown in fig. 5, the apparatus specifically includes:
An installation position acquisition unit 401 for acquiring an installation position of the motor vehicle flow rate detection device on a road;
A first vehicle flow rate obtaining unit 402, configured to obtain a vehicle flow rate detected by the vehicle flow rate detection device at least one preset first time;
A first navigation track counting unit 403, configured to count the number of navigation tracks of a road section where the installation position is located, where the number is obtained by the installation position obtaining unit 401 at a preset first time;
a first ratio calculating unit 404, configured to obtain a ratio between the number of navigation tracks counted by the first navigation track counting unit 403 and the vehicle flow rate obtained by the first vehicle flow rate obtaining unit 402, which correspond to the same first time;
A mean value calculating unit 405, configured to obtain a mean value of the ratio values based on all the ratio values obtained by the first ratio calculating unit 404;
a ratio mean square error calculation unit 406, configured to obtain a ratio mean square error based on all the ratios obtained by the first ratio calculation unit 404 and a mean of the ratios obtained by the mean calculation unit 405;
A ratio interval determination unit 407, configured to obtain a ratio interval value corresponding to a preset confidence interval based on the mean value of the ratio obtained by the mean value calculation unit 405 and the ratio mean square error obtained by the ratio mean square error calculation unit 406;
A second vehicle flow rate obtaining unit 408, configured to obtain a vehicle flow rate detected by the vehicle flow rate detecting device at a preset second time;
A second navigation track counting unit 409, configured to count the number of navigation tracks of a road section where the installation position of the motor vehicle flow detection device is located, where the number is obtained by the installation position obtaining unit 401 at a preset second time;
A difference value determining unit 410, configured to determine whether a difference value between the number of the navigation tracks counted by the second navigation track counting unit 409 and the vehicle flow obtained by the second vehicle flow obtaining unit 408 corresponding to a second time is less than or equal to 0;
A second ratio calculating unit 411, configured to, if the difference determined by the difference determining unit 410 is less than or equal to 0, obtain a ratio between the number of the navigation tracks counted by the second navigation track counting unit 409 and the vehicle flow obtained by the second vehicle flow obtaining unit 408, where the number of the navigation tracks is corresponding to a second time;
a working state determining unit 412, configured to compare the ratio between the number of the navigation tracks and the vehicle flow rate, which are obtained by the second ratio calculating unit 411 and correspond to the second time, with the ratio interval corresponding to the preset confidence interval determined by the ratio range determining unit 407, and if the ratio falls into any one ratio interval, determine that the working state of the vehicle flow rate detecting apparatus is a healthy state.
in summary, the method for detecting a vehicle flow, the method for detecting a device operating state, and the corresponding apparatus disclosed in the embodiments of the present invention detect a vehicle flow on a road section where the vehicle flow detection device is located and a navigation track on a road section where an installation position of the vehicle flow detection device is located through the vehicle flow detection device, dig a ratio relationship between the navigation track and an actual vehicle flow, calculate a vehicle flow on the road section by using the ratio relationship and a number of the navigation tracks on any road section in the road, or calculate a normal detection data interval of the vehicle flow detection device by using the ratio relationship and information of the navigation tracks, so as to verify an operating state of the detection device. The invention excavates the use value of the navigation track information in the aspect of road traffic detection by analyzing and processing the historical data, helps the road traffic management department to improve the accuracy degree of road management and improves the detection efficiency and accuracy of the road motor vehicle flow. Meanwhile, the state detection of the motor vehicle flow detection equipment is realized, the timely discovery and timely treatment of problem detection equipment are ensured, and the reliability of the motor vehicle flow detection equipment in the road is improved.
further, an embodiment of the present invention further provides a storage medium, where the storage medium is used for storing a computer program, where when the program runs, the program controls a device where the storage medium is located to execute the method for detecting a vehicle flow rate described in fig. 1, or controls a device where the storage medium is located to execute the method for detecting an operating state of the vehicle flow rate detecting device described in fig. 2.
in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
it will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
in addition, the memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
as will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
the present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
these computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
in a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
it should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
the above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. a method of detecting a flow rate of a motor vehicle, the method comprising:
Acquiring the installation position of the motor vehicle flow detection equipment on a road;
Obtaining the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
counting the number of navigation tracks passing through the section of the road where the mounting position is located at a preset first time;
acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
Acquiring a mean value of the ratios based on all the acquired ratios;
obtaining a ratio mean square error based on all the obtained ratios and the mean value of the ratios;
Judging whether the mean square error of the ratio is lower than a preset standard deviation threshold value or not, if so, acquiring a position to be detected of the flow of the motor vehicle on a road where the motor vehicle flow detection equipment is located;
counting the number of navigation tracks passing through a road section where the position to be detected of the motor vehicle flow is located at a preset second time;
And dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the mean value of the ratio to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow in the second time.
2. The method of claim 1, further comprising:
And determining a motor vehicle flow interval corresponding to the motor vehicle flow of the motor vehicle flow position to be detected in a preset confidence interval by using the mean value and the mean variance of the ratio.
3. the method according to claim 2, wherein the step of determining the motor vehicle flow interval corresponding to the motor vehicle flow at the position to be detected of the motor vehicle flow within the preset confidence interval by using the mean value and the mean variance of the ratio specifically comprises the following steps:
Obtaining a ratio interval corresponding to a preset confidence interval based on the mean value and the mean variance of the ratio;
And dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by a ratio interval to obtain a motor vehicle flow interval corresponding to a preset confidence interval and passing through the position to be detected of the motor vehicle flow.
4. the method according to any one of claims 1 to 3, wherein the obtaining a mean ratio variance based on all the obtained ratios and a mean value of the ratios comprises:
obtaining the difference value of each ratio value and the mean value of the ratio values and the square sum of the difference values;
determining the arithmetic square root of the sum of the squares of the differences as the mean square error of the ratio.
5. a method for detecting an operating state of a flow rate detection device of a motor vehicle, the method comprising:
acquiring the installation position of the motor vehicle flow detection equipment on a road;
Obtaining the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
counting the number of navigation tracks passing through the section of the road where the mounting position is located at a preset first time;
Acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
Acquiring a mean value of the ratios based on all the acquired ratios;
obtaining a ratio mean square error based on all the obtained ratios and the mean value of the ratios;
obtaining a ratio interval value corresponding to a preset confidence interval based on the mean value and the mean variance of the ratio;
Acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at a preset second time;
Counting the number of navigation tracks passing through a road section where the installation position of the motor vehicle flow detection equipment is located at a preset second time;
Judging whether the difference value between the number of the navigation tracks corresponding to the second time and the flow of the motor vehicle is less than or equal to 0;
If the current time is less than or equal to 0, acquiring the ratio of the number of the navigation tracks corresponding to the second time to the flow of the motor vehicle;
and comparing the ratio of the number of the navigation tracks corresponding to the second time to the motor vehicle flow with the ratio interval corresponding to the preset confidence interval, and if the ratio falls into any one ratio interval, determining that the working state of the motor vehicle flow detection equipment is a healthy state.
6. a motor vehicle flow sensing device, the device comprising:
The device comprises an installation position acquisition unit, a control unit and a control unit, wherein the installation position acquisition unit is used for acquiring the installation position of the motor vehicle flow detection equipment on a road;
The motor vehicle flow acquisition unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
the first navigation track counting unit is used for counting the number of navigation tracks passing through the section of the road where the installation position is located at a preset first time;
The ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
The mean value calculating unit is used for acquiring the mean value of the ratio values based on all the acquired ratio values;
The ratio mean square error calculation unit is used for obtaining the ratio mean square error based on all the obtained ratios and the mean value of the ratios;
the position to be detected acquiring unit is used for judging whether the mean square error of the ratio is lower than a preset standard deviation threshold value, and if so, acquiring a position to be detected of the flow of the motor vehicle on a road where the motor vehicle flow detection equipment is located;
the second navigation track counting unit is used for counting the number of navigation tracks passing through a road section where the position to be detected of the flow of the motor vehicle is located at a preset second time;
And the motor vehicle flow calculating unit is used for dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the mean value of the ratio to obtain the motor vehicle flow passing through the position to be detected of the motor vehicle flow in the second time.
7. The apparatus of claim 6, further comprising:
and the flow interval determining unit is used for determining a motor vehicle flow interval corresponding to the motor vehicle flow of the motor vehicle flow position to be detected in a preset confidence interval by using the mean value of the ratio and the mean variance of the ratio.
8. The apparatus according to claim 7, wherein the traffic interval determining unit specifically includes:
A ratio interval determination module for obtaining a ratio interval corresponding to the preset confidence interval based on the mean value and the mean variance of the ratio
And the flow interval determining module is used for dividing the number of the navigation tracks passing through the position to be detected of the motor vehicle flow by the ratio interval to obtain a motor vehicle flow interval passing through the position to be detected of the motor vehicle flow corresponding to a preset confidence interval.
9. A device for detecting the operating condition of a motor vehicle flow detection apparatus, said device comprising:
The device comprises an installation position acquisition unit, a control unit and a control unit, wherein the installation position acquisition unit is used for acquiring the installation position of the motor vehicle flow detection equipment on a road;
The first motor vehicle flow acquisition unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detection equipment at least one preset first time;
the first navigation track counting unit is used for counting the number of navigation tracks passing through the section of the road where the installation position is located at a preset first time;
The first ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the same first time to the flow of the motor vehicle;
The mean value calculating unit is used for acquiring the mean value of the ratio values based on all the acquired ratio values;
The ratio mean square error calculation unit is used for obtaining the ratio mean square error based on all the obtained ratios and the mean value of the ratios;
the ratio interval determining unit is used for obtaining a ratio interval value corresponding to a preset confidence interval based on the mean value and the mean variance of the ratio;
The second motor vehicle flow acquiring unit is used for acquiring the motor vehicle flow detected by the motor vehicle flow detecting equipment at a preset second time;
The second navigation track counting unit is used for counting the number of navigation tracks on a road section where the installation position of the motor vehicle flow detection equipment passes at a preset second time;
The difference value judging unit is used for judging whether the difference value between the number of the navigation tracks corresponding to the second time and the motor vehicle flow is less than or equal to 0 or not;
the second ratio calculation unit is used for acquiring the ratio of the number of the navigation tracks corresponding to the second time to the flow of the motor vehicle if the difference value is less than or equal to 0;
and the working state determining unit is used for comparing the ratio of the number of the navigation tracks corresponding to the second time to the motor vehicle flow with the ratio interval corresponding to the preset confidence interval, and if the ratio falls into any one ratio interval, determining that the working state of the motor vehicle flow detection equipment is a healthy state.
10. a storage medium, characterized in that the storage medium comprises a stored program, wherein the program is operable to control a device in which the storage medium is located to perform the method for detecting a vehicle flow rate according to any one of claims 1 to 4, or to control a device in which the storage medium is located to perform the method for detecting an operating state of a device for detecting a vehicle flow rate according to claim 5.
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