KR20090098669A - Axle weight measurement system and vehicle separation method - Google Patents

Abstract

An axis weight measurement system and a vehicle separating method are provided to measure the weight of the vehicle. An axis weight measurement system comprises a shaft weight measuring unit(13), a production unit, a storage unit, a verdict unit and a separation unit. The shaft weight measuring unit comprises a plurality of axis weight sensors(32a,32b) arranged to the traveling direction of the vehicles(12). The shaft weight measuring unit measures the shaft weight of the running vehicle based on the detection output of the axis weight sensor. The production unit computes the axle base between each axis on basis of the detection output of each axis weight sensor. The storage unit memorizes car data including the axis base information between each axis of the vehicles. The verdict unit compares the distance information between the axis included between the axis calculated in the production unit in car data of the storage unit and distance. The verdict unit determines whether or not each axis is the axis of the same vehicle. The separation unit separates a plurality of measuring results at the shaft weight measuring unit according to the vehicles 1 part based on the decision result of the verdict unit.

Description

Axle weight measurement system and vehicle separation method {AXLE WEIGHT MEASUREMENT SYSTEM AND VEHICLE SEPARATION METHOD}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an axle weight measurement system for measuring an axle weight of a traffic vehicle using an axle weight sensor arranged on a road surface, and a vehicle separation method for separating a vehicle one by one.

Against the backdrop of the recent development of the logistics industry, transportation and delivery by large vehicles such as freight cars are increasing, and vehicles that overload, i.e., overweight vehicles, in order to give priority to efficiency with the increase of the large vehicles. There is also a lot. Such an overweight vehicle may cause damage to a road surface, a bridge, or the like, or may pose a threat to road traffic safety.

In order to preserve the structure of the road or to prevent traffic hazards, the main specifications (dimensions and weights) of the vehicle are the Japanese "Road Law" (June 10, 27 law 180th) Article 47 Article 1 `` Vehicle Restriction Order '' (Article 17, No. 17, Fulfillment No. 265) pursuant to the paragraph, or `` Holy Spirit to Decide on Procedures for Authorization of Vehicle Passage '' (September 25, 36, Construction Spirit No. 28) Are limited.

Vehicles exceeding these limits are treated as special vehicles, and in that passage, authorization under 2 (1) of the Road Act Article 47 or authorization under Vehicle Restriction Ordinance 12 is necessary, and the permit or If there is no authorization, traffic is prohibited.

However, since the case where the illegal vehicle is passed without the permission or approval mentioned above continues, the construction of the special vehicle automatic measurement system for strengthening the crackdown of the illegal vehicle is urgently required.

The special vehicle automatic measurement system is, for example, a dynamic weight measurement device (Weigh In Motion, commonly referred to as "WIM") or a dynamic dimension measurement device (Dimension In Motion, commonly known as "DIM") provided on the road through which the vehicle passes. Is done.

Here, an example of the conventional WIM is demonstrated using FIG.

In the figure, reference numeral 200 denotes an axle weight measurement system that measures the weight of the vehicle from the load applied to each axle of the traveling vehicle, that is, the axle weight.

The axle weight of each axle of the vehicle 22 passing through the road 21 is detected by the axle weight sensors 42a to 42d embedded on the road surface, and the detection result is provided at the shoulder of the road 21. It is sent to the axial weight measuring apparatus 23 which exists. In the axial weight measurement apparatus 23, axial weight data is created based on the received detection result, and the generated axial weight data is similarly transmitted to the measurement control processing device 25 provided on the shoulder of the road 21. do.

Moreover, the gate 24b is provided in each part of the road 21, and the imaging device for reading out a vehicle registration number from the number plate (not shown) attached to the vehicle 22 in the horizontal upper part of the gate 24b. 24a is provided. Imaging data obtained by imaging by the imaging device 24a is transmitted to the measurement control processing device 25 through the number reading device 24 provided in the pillar portion of the gate 24b.

In the measurement control processing apparatus 25, calculation is performed based on the axial weight data received from the axial weight measurement apparatus 23, and the weight of the vehicle 22 is calculated.

Moreover, based on the image data received from the number reading apparatus 24, image processing is performed and vehicle registration number information of the vehicle 22 is created.

Further, according to a predetermined algorithm, it is determined whether the weight of the vehicle 22 is excessive. When it is determined that the weight is exceeded, the weight information is transmitted to the host apparatus 26 provided at a remote location together with the vehicle registration number information of the vehicle 22. When it is determined that it is not overweight, weight information, vehicle registration number information, and the like are stored in a storage unit (not shown) in the measurement control processing device 25 for each vehicle.

The host device 26 includes, for example, a server that collectively controls a computer on a network, and is installed and managed in a communication command room (not shown) of a management office (not shown).

In addition, in the axial weight measurement system 200, in order to calculate the weight of the vehicle 22 based on the axial weight data transmitted in order from the axial weight measurement apparatus 23 to the measurement control processing apparatus 25, Vehicle separation means for classifying the axial weight data for each vehicle (hereinafter referred to as "vehicle separation") is required.

The vehicle separation means in the axial weight measurement system 200 is two loop type vehicle detectors 61a and 61b, and the loop type vehicle detectors 61a and 61b are fitted with the axial weight sensors 42a to 42d. It is embedded one by one upstream and downstream of the road 21 so that it may be stored. As a result, the vehicle 22 enters the roof vehicle detector 61a and exits the roof vehicle detector 61b, whereby vehicle separation can be performed.

However, by arranging these loop type vehicle detectors 61a and 61b, since the apparatus which comprises the axial weight measurement system 200 increases, the cost at the time of introducing this system becomes high. In addition, since the roof type vehicle detectors 61a and 61b are embedded one by one upstream and downstream of the road 21 so as to sandwich the axial weight sensors 42a to 42d, there is an area required for installation of the system. It becomes widespread, and there exists also a problem which cannot carry out construction easily.

Patent Literature 1 provides a plurality of detection sensors comprising an optical sensor in a height direction of a vehicle, and detects a vehicle's axle number by detecting tires of the vehicle, thereby detecting a vehicle feature amount according to the type of the vehicle. A detection apparatus is described.

Patent Document 2 includes a light emitting unit for emitting a plurality of light beams in a plurality of directions, a light receiving unit for receiving a plurality of reflected light reflected from a reflecting object among the plurality of light beams, the plurality of light beams, and the corresponding plurality of reflected light. A vehicle detection device for detecting as one individual vehicle is described by including a calculation unit for calculating a relationship.

Patent document 3 describes an arrangement method and an axial weight measuring apparatus for determining an arrangement position of an axial weigh scale at an uneven arrangement interval based on data measured by an axial weigh scale.

Patent document 4 describes an axis weight measuring device for determining and notifying that the measurement accuracy of the axis weight measuring device is out of an allowable range or has been reduced without driving a test vehicle in which the axis weight is already known.

Patent Document 1: Japanese Patent Application Laid-Open No. 7-167624

Patent Document 2: Japanese Patent Application Laid-Open No. 2001-101568

Patent Document 3: Japanese Patent Application Laid-Open No. 200-121418

Patent Document 4: Japanese Patent Application Laid-Open No. 2006-226812

In the apparatuses described in the above Patent Documents 1 to 4, since the vehicle detecting device made of the photoelectric switch and the loop type vehicle detector are required as the vehicle separating means, the introduction cost is high as in the axial weight measurement system 200 described above. In addition, since the installation area becomes wide, construction cannot be performed easily.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and an object thereof is to enable the weight of each vehicle to be measured without providing a dedicated device for separating the vehicle.

An axial weight measuring system according to the present invention is an axial weight measuring system for measuring an axial weight of a traveling vehicle on the basis of a detection output of an axial weight sensor arranged on a road surface, the plurality of axial weight measuring systems being arranged at predetermined intervals in the traveling direction of the vehicle. An axis weight measuring means for measuring the axis weight of the traveling vehicle based on the detection output of each axis weight sensor, and calculating the interaxial distance between each axle based on the detection output of each axis weight sensor. Computing means, the storage means which stored the vehicle data containing the inter-axis distance information between each axle for every vehicle, and the inter-axis distance information computed by the calculating means, and the inter-axis distance information contained in the vehicle data of a storage means are compared, and both Determination means for determining whether each axle is the axle of the same vehicle based on whether or not Thus, a separating means for separating the plurality of measurement results in the axial measurement means for each vehicle is provided.

By doing in this way, the interaxial distance between each axle is calculated from the detection output of each axle weight sensor, the calculated interax distance is compared with the interax distance information of vehicle data, and based on the result, a plurality of axle weight measurement results are calculated It is separated every one.

Thereby, a vehicle can be separated using an axial weight sensor and the weight per vehicle can be measured, without providing a roof type vehicle detector, a photoelectric switch, etc. for separating a vehicle. Therefore, the axial weight measurement system which can reduce the introduction cost and can reduce the installation area can be realized.

In the present invention, the determination means may be such that whenever the inter-axis distance is calculated by the calculation means, the inter-axis distance and the inter-axis distance information included in the vehicle data are compared. In this system, when both do not coincide, the judging means is the same between the preceding axle detected earlier by the axis weight sensor and the trailing axle detected by the axis weight sensor among the two axles forming an inconsistent interaxial distance. It is determined that the vehicle is not axle. Then, when the determination means determines that the preceding axle and the trailing axle are not the axles of the same vehicle, the separating means measures the results up to the preceding axle by the axial weight measurement means and the trailing axle by the axial weight measurement means. Separate the measurement results.

According to this, each time the axle is detected by the axle weight sensor, the distance between the axles of the axles is compared with the vehicle data. Since the measurement result of and the measurement result of the following axle are separated, it is possible to perform vehicle separation by checking whether the vehicle is the same vehicle from the front in the traveling direction of the vehicle. For this reason, vehicle separation with respect to a vehicle with few axles can be performed quickly.

Further, in the present invention, the judging means may compare the interaxial distance information included in the vehicle data with each of the interaxial distances after a predetermined number of interaxial distances calculated by the calculating means are stored. In this system, when a matching result is not obtained for all the inter-axis distances, the judging means repeats the judgment by sequentially removing the rearmost axle. And when a matching result of an interaxial distance is obtained by a determination means, a separating means will be carried out about the axle of the axle distance which does not correspond with the measurement result by the axle weight measuring means regarding the axle of the said axle distance. Separate the measurement result by the shaft weight measurement means.

According to this, after a predetermined number of calculated inter-axis distances are stored, the inter-axis distances are compared with the vehicle data, and when a matching result is not obtained, the determination is repeated by sequentially removing the rear axle and a matching result is obtained. In this case, the axial weight measurement result is separated, so that the vehicle can be separated by checking whether the vehicle is the same vehicle from the rear in the traveling direction of the vehicle. For this reason, it becomes possible to perform vehicle separation quickly regarding a vehicle with a large number of axles.

In the present invention, the vehicle data also has the farthest axial distance information for each vehicle, and is calculated from the maximum value of the farthest axial distance derived from the plurality of distant axial distance information and the detection output of each axial weight sensor. The detection time limit of the trailing axle is set based on the speed of the preceding axle, and if the trailing axle is not detected within this detection time limit, the determining means may determine that the preceding axle and the trailing axle are not the axle of the same vehicle. good.

In this way, it is possible to determine whether the preceding and the following axles are the axles of the same vehicle by whether or not the trailing axle is detected within the detection time limit, so that the vehicle can be separated based on the detection time limit.

In the present invention, a plurality of vehicle segments according to the shaft weight value are set, and the determining means is based on the vehicle weights corresponding to the preceding axles and the following axles based on the shaft weights of the preceding and the following axles measured by the shaft weight measuring means. It may be determined whether the corresponding vehicle classification is different, and when the vehicle classification is different, it may be determined that the preceding and the following axles are not the axles of the same vehicle.

By doing in this way, when the vehicle classification of a preceding axle and a following axle is respectively different, since it is determined that a preceding axle and a following axle are not the axle of the same vehicle, vehicle separation can be performed based on a vehicle classification.

In the present invention, the determining means determines whether or not the difference between the speed of the preceding axle and the speed of the following axle calculated from the detection output of each axis weight sensor is equal to or less than a predetermined threshold, and is not equal to or less than a predetermined threshold. In this case, it may be determined that the preceding and the following axles are not the axles of the same vehicle.

In this way, it is possible to determine whether the preceding and the following axles are the axles of the same vehicle, depending on whether or not the difference in the speed of each axle is equal to or less than a predetermined threshold value, so that the vehicle separation is performed based on the difference in the speed. I can do it.

Next, the vehicle separation method according to the present invention is a vehicle separation method in an axial weight measurement system that measures the axial weight of a traveling vehicle on the basis of detection outputs of a plurality of axial weight sensors arranged on a road surface. Comparing the step of calculating the interaxial distance between each axle based on the detection output of the weight sensor, and the interaxial distance information between the calculated axle distance and each axle for each vehicle in the vehicle data, and whether or not they match. By the step of determining whether each axle is the axle of the same vehicle, and the step of separating the vehicle into each one based on the determination result.

By doing in this way, the interaxial distance between each axle is calculated from the detection output of each axle weight sensor, the calculated interaxial distance is compared with the interaxial distance information of the vehicle data, and based on the result, the vehicles are separated by one. do.

In this way, the vehicle can be separated by one unit using an axial weight sensor without providing a loop vehicle detector, a photoelectric switch, or the like for separating the vehicle. Therefore, the axial weight measurement system which can reduce the introduction cost and can reduce the installation area can be realized.

According to the present invention, since the vehicle can be separated using the axial weight sensor, the weight of each vehicle can be measured without providing a dedicated device for separating the vehicle. Therefore, the axial weight measurement system which can reduce the introduction cost and can reduce the installation area can be realized.

EMBODIMENT OF THE INVENTION Hereinafter, embodiment of this invention is described, referring drawings.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows one Embodiment of the axial weight measurement system of this invention.

In addition, in FIGS. 1-10 mentioned later, the same code | symbol is attached | subjected to the same part or corresponding part.

In the figure, reference numeral 11 denotes a road (for example, a highway, etc.) through which an automobile or a large vehicle passes, and reference numeral 12 denotes a vehicle (for example, a truck which is a large vehicle) passing through the road 11.

Reference numeral 13 denotes a shaft weight measuring device for measuring a load applied to each axle of the vehicle 12, that is, a shaft weight, and is provided on the shoulder of the road 11. The axial weight measuring device 13 is connected to two axial weight sensors 32a and 32b for detecting the axial weight, and the axial weight sensors 32a and 32b have a piezo effect (piezoelectric effect) such as quartz. It consists of a rod-shaped sensor using.

The shaft weight sensors 32a and 32b are configured to output a current corresponding to the detected shaft weight value, and the output current is sent to the shaft weight measuring device 13.

In addition, the axial weight sensors 32a and 32b are embedded one by one at the P point and the Q point of the roadway 11 at predetermined intervals L. As shown in FIG.

In addition, in order to accurately detect the shaft weight of the vehicle 12, since both wheels of each axle need to pass through the shaft weight sensor 32a or 32b at the same time, the shaft weight sensors 32a and 32b are used. Is approximately perpendicular to the laying direction of the roadway 11.

Reference numeral 14 is a number reading device for reading the vehicle registration number from the number plate attached to the vehicle 12 passing through the road 11. The number reading device 14 is connected to an imaging device 14a for reading a vehicle registration number, and the imaging device 14a comprises a CCD (Charge Coupled Device) camera equipped with a strobe.

The imaging device 14a is provided in the horizontally upper part of the gate 14b provided in each part of the road 11, and the number reading device 14 is provided in the pillar part of the gate 14b.

Reference numeral 15 denotes a measurement control processing device which controls the shaft weight measuring device 13 and the number reading device 14 and processes data obtained by the control by calculation or the like, and similarly to the shaft weight measuring device 13, It is installed on the shoulder of (11). In the measurement control processing apparatus 15, calculation of the weight of the vehicle 12 which passes through the road 11, determination of whether the weight of the said vehicle 12 exceeds, etc. are performed.

Reference numeral 16 denotes a higher level device that intensively manages weight information, vehicle registration number information, etc. of the vehicle 12 transmitted from the measurement control processing device 15, and increases the efficiency of information transmission and maintenance. The host device 16 includes a server that collectively controls a computer on a network.

In addition, the host device 16 is provided at a different location from the axial weight measuring device 13, the number reading device 14, and the measurement control processing device 15, and is, for example, a management office located in a remote location (shown in FIG. And communication command room (not shown).

3 is a block diagram showing the configuration of the shaft weight measuring device 13.

In the figure, reference numeral 31 denotes a control unit which collectively controls each part of the shaft weight measuring device 13, and includes a CPU (Central Processing Unit) or the like. Reference numeral 33 denotes a signal conversion that converts the current output from the shaft weight sensors 32a and 32b embedded in the road 11 (Fig. 1) into a voltage and performs amplification, analog-to-digital (A / D) conversion, and the like. It is wealth.

Reference numeral 34 denotes a time zone which indicates the current time, 35 denotes a storage unit comprising RAM (Random Access Memory), EEPROM (Electronically Erasable and Programmable Read Only Memory), and 36, which communicate with the measurement control processing device 15. Communication unit for performing.

In a predetermined storage area (not shown) in the storage unit 35, table data as shown in 35a of FIG. 6 or 35b of FIG. 7 is stored, and the vehicle data includes various information for each vehicle. It has a plurality of vehicles (main specification information, etc.).

35a in FIG. 6 is vehicle data which has a plurality of main specification information of the vehicle (large car) whose axial weight of each axle is 1.5t (ton) or more among the vehicle data mentioned above, 35b in FIG. 7 is axial weight of each axle Vehicle data having a plurality of main specifications information of a vehicle (normal car) of less than 1.5 t (ton).

In addition, 35e-35h of FIG. 6 are various items in the vehicle data 35a, and 35p-35s of FIG. 7 are various items in the vehicle data 35b. In detail, the items 35e and 35p represent vehicle types, and the items 35f and 35q represent vehicle types. In addition, the items 35g and 35r represent the farthest axial distance (wheel base) which is the distance from the foremost axis of the axle provided to each vehicle to the rearmost axis, and the items 35h, 35s are between each axle. The distance between the axes, which is the distance of, is shown.

The communication part 36 communicates with the measurement control processing apparatus 15, and by the said communication, update of the vehicle data 35a (FIG. 6), 35b (FIG. 7) stored in the memory | storage part 35, etc. are carried out. Is done.

When the shaft weight sensors 32a and 32b detect the shaft weight, a current corresponding to the detected shaft weight value is output from the shaft weight sensors 32a and 32b and input to the signal conversion section 33.

In the signal converter 33, the input current is converted into a voltage, amplification, A / D conversion, and the like are performed, and then the axial weight data is created.

The axial weight data created by the signal converter 33 is once stored in a predetermined storage area (not shown) in the storage unit 55 together with the time data displayed by the time display unit 34 under the control of the control unit 31. do.

The control unit 31 separates the vehicle according to a predetermined algorithm based on the measurement result such as the axial weight data and the vehicle data 35a or 35b, and based on the vehicle separation, the control unit 31 determines the predetermined value in the storage unit 35. Data such as the axial weight stored in the storage area are divided for each vehicle. Data such as the axial weight divided into one vehicle is output to the communication unit 36 in order, and transmitted from the communication unit 36 to the measurement control processing device 15. In addition, the detail of the vehicle separation method is mentioned later.

Here, the control part 31, the axial weight sensors 32a and 32b, and the signal conversion part 33 comprise embodiment of the axial weight measurement means in this invention, and the control part 31 in this invention The calculation means, the determination means, and the separation means constitute one embodiment, and the storage unit 35 constitutes an embodiment of the storage means in the present invention.

4 is a block diagram showing the configuration of the measurement control processing apparatus 15.

In the figure, reference numeral 51 denotes a data processor which processes data such as shaft weight transmitted from the shaft weight measuring apparatus 13 and data such as an image transmitted from the number reading apparatus 14, and is composed of a microcomputer, an image processing circuit, or the like. It is.

Reference numeral 52 denotes a storage unit made of RAM, EEPROM, and the like, and reference numeral 53 denotes a communication unit that communicates with the axis weight measuring device 13, the number reading device 14, and the host device 16.

The data processing unit 51 calculates the total weight of the vehicle 12 based on a predetermined algorithm based on data such as the shaft weight for each vehicle transmitted from the shaft weight measuring device 13. In addition, based on the calculation result, it is determined whether the weight of the vehicle 12 is excessive. In addition, the data processing unit 51 performs image processing such as image data transmitted from the number reading device 14 to create vehicle registration number information.

In a predetermined storage area (not shown) in the storage unit 52, the weight information calculated by the data processing unit 51, a result of determining whether it is over weight, vehicle registration number information, or the like is stored for each vehicle.

In addition, in another predetermined storage area (not shown) in the storage unit 52, for example, the vehicle data 35a (Fig. 6) and 35b (Fig. 7) of the vehicle 12 transmitted from the host device 16. ) The latest version, etc. are memorized.

The communication unit 53 transmits the weight information, the vehicle registration number information, and the like of the vehicle 12 determined by the data processing unit 51 to be overweight, to the host device 16.

In addition, when the latest version of the vehicle data 35a (FIG. 6) and 35b (FIG. 7) is received from the host apparatus 16, after storing it in the memory | storage part 52 once, the latest version is stored in the axial weight measuring apparatus ( 13) to transmit,

5 is a block diagram showing the configuration of the host apparatus 16. As shown in FIG.

In the figure, reference numeral 71 denotes a control unit which collectively controls each part of the host device 16, and includes a CPU and the like.

Reference numeral 72 denotes a storage unit that stores therein management information for managing roads under jurisdiction, and includes ROM, EEPROM, and the like. In the storage unit 72, for example, the latest version of the vehicle data 35a (FIG. 6) and 35b (FIG. 7) created and edited by the host device 16 is stored.

Reference numeral 73 denotes a communication unit which communicates with the measurement control processing device 15, transmits the latest version of the vehicle data 35a (Fig. 6), 35b (Fig. 7), etc. to the measurement control processing device 15, and The weight information, vehicle registration number information, and the like of the vehicle 12 determined as excess are received from the measurement control processing device 15. Information such as the weight received by the communication unit 73 is stored in the storage unit 72 and centrally managed.

Reference numeral 74 denotes a display unit which displays information or the like stored in the storage unit 72, and is made of an LCD (Liquid Crystal Display) or the like. Reference numeral 75 denotes a warning light that lights when the vehicle 12 passing through the road 11 is determined to be an overweight vehicle. In addition, since the display part 74 and the warning lamp 75 are not related to this invention, they are not described in detail below.

Next, the vehicle separation method in the present invention will be described in detail using the flowcharts of FIGS. 8 and 9.

8 is a flowchart showing a first embodiment of a vehicle separation method in the axial weight measurement system 100.

In this flow chart, the axle detected beforehand by the said axle weight sensor is made into the preceding axle among each axle which passes over the axle weight sensors 32a and 32b, and the axle detected later is made into a trailing axle.

Specifically, as shown in Table 31 of FIG. 10, the first axle is preceded in the relationship between the first axle and the second axle detected after the start of measurement by the axle weight measurement system 100. Let the axle be the axle, and the second axle be the trailing axle. Similarly, when the 3rd axle is detected, the 2nd axle detected first is made into a preceding axle, and the 3rd axle is made a trailing axle.

In addition, the 1st axle does not necessarily refer to the foremost axle in a vehicle, but is the axle detected by the axle weight sensors 32a and 32b for the first time after the measurement start by the axle weight measuring apparatus 13 starts. Will be pointing.

In step S1, the preceding axle (the first axle immediately after the measurement start) passes through the axis weight sensors 32a and 32b, so that a signal corresponding to the axis weight of the axle is output from the axis sensors 32a and 32b. do. In the axial weight measuring apparatus 13, calculation and the like are performed by the signal converter 33 (FIG. 3) and the controller 31 (FIG. 3) based on the output signals from the axial weight sensors 32a and 32b. The shaft weight data of the preceding axle is created.

In step S2, the vehicle classification of the preceding axle is performed based on the vehicle classification (for example, a large vehicle or a normal vehicle) according to the preset shaft weight value. In this embodiment, the axial weight is divided into two: a vehicle of 1.5t or more (large car) and a vehicle of less than 1.5t (normal car).

In step S3, the passage time between the shaft weight sensors 32a and 32b is determined by the time when the preceding axle passes through the shaft weight sensor 32a and the time when the same axle passes through the shaft weight sensor 32b. And calculate the speed of the preceding axle, that is, the speed of the vehicle having the axle, according to the predetermined algorithm, based on the passage time and the arrangement interval L (Fig. 1) of the axle weight sensors 32a and 32b. Calculate In addition, the time when the preceding axle passed on the axial weight sensors 32a and 32b is shown by the time display part 34 (FIG. 3).

In step S4, the maximum value of the farthest axial distance of the vehicle classification is derived based on the vehicle classification of the preceding axle, and the calculation is performed based on the maximum value of the farthest axis distance derived and the speed of the preceding axle calculated in step S3. The maximum time until the shaft weight sensors 32a and 32b detect the trailing axle (the second axle immediately after the measurement start) is calculated. The timer (not shown) is set based on the calculated time.

In detail, when the axial weight of the preceding axle is 1.5t or more, the vehicle data 35a (FIG. 6) is selected from the two vehicle data stored in the predetermined storage area of the storage unit 35 (FIG. 3). The maximum value of the farthest axial distance is derived from the farthest axial distance information for each vehicle included in the furthest axial distance item 35g in the vehicle data 35a. In addition, when it is less than 1.5t, the vehicle data 35b (FIG. 7) is selected, and from the furthest axial distance information for each vehicle included in the furthest axial distance item 35r in the vehicle data 35b, Obtain the maximum of the far axis distance.

In step S5, it is determined whether or not a trailing axle (not shown) is detected by the shaft weight sensors 32a and 32b within the time set in the timer in step S4 (hereinafter referred to as "timer time"). In a case (step S5: YES), the process proceeds to step 36, and when it is not detected (step S5: NO), the process proceeds to step S14 or less.

In step S6, the axial weight data of the trailing axle is created, and in step S7, the vehicle classification of the trailing axle is performed. In addition, since it is the same as that of step S1 about the creation method of this axial weight data, and it is the same as that of step S2 about the method of vehicle classification, description is abbreviate | omitted.

In step S8, it is verified whether or not the vehicle segment of the preceding axle and the vehicle segment of the trailing axle match. If the vehicle segment coincides (step S8: YES), the flow advances to step S9, and if it does not match (step S8) S8: NO) advances below step S14.

In step S9, the speed of the trailing axle, ie, the speed of the vehicle having the axle, is passed through the shaft weight sensors 32a and 32b within the timer time. In addition, about the speed calculation method, since it is the same as that of step S3, description is abbreviate | omitted.

In step S10, the difference between the speed of the preceding axle and the speed of the following axle is calculated, and it is verified whether the difference is equal to or less than a predetermined threshold. As a result of the verification, when the difference is equal to or less than the predetermined threshold (step S10: YES), the process proceeds to step S11, and when not equal to or less than the predetermined threshold (step S10: NO), the process proceeds to step S14 or less.

In step S11, calculation is performed according to a predetermined algorithm based on the speed of the preceding axle, the speed of the following axle, and the like, and the interaxial distance between the preceding axle and the following axle is calculated.

In step S12, it is verified whether the inter-axis distance information corresponding to the inter-axis distance calculated in step S11 is in the vehicle data (35a of FIG. 6 or 35b of FIG. 7) corresponding to the vehicle segment matched in step S8, If there is coincident interaxial distance information (step S12: YES), the flow advances to step S13, and if there is no coincidence of interaxial distance information (step S12: NO), the process proceeds to step S14 or less.

In detail, when the axial weight of the preceding and following axles is 1.5t or more, the vehicle data 35a is the verification target data, and when the axial weight is less than 1.5t, the vehicle data 35b is the verification target data. do.

If the data to be verified is the vehicle data 35a, which one of the interaxial distance information for each axle included in the small items D1 to D1 of the interaxial distance item 35h matches with the interaxial distance calculated in step S11? Verify whether or not.

For example, when the preceding axle is an axle that has passed through the axis weight sensors 32a and 32b for the first time after the start of verification by the axis weight measuring device 13, the preceding axle is the first axis and the trailing axle is Since the second axis is used, it is verified whether or not the inter-station distance between the preceding axle and the following axle and the inter-axis distance information included in the small item D1 of the inter-axis distance item 35h match.

In the case where the verification target data is the vehicle data 35b, the same verification as described above is performed.

In step S13, based on the verification result in step S12, a flag indicating that there is matching interaxial distance information is set. After the flag is set, the flow returns to step S4 in order to detect a subsequent axle. At that time, information, such as vehicle classification and speed, regarding the acquired rear axle is returned as the information of the preceding axle.

That is, at the time of detecting the 1st axis and the 2nd axis, the information about the 2nd axis handled as the following axle information is treated as a preceding axle information in the 2nd axis and 3rd axis detection. Thereby, since the process from step S1 to step S3 can be skipped, it can also prepare quickly for the detection of a following axle.

In step S14, the presence or absence of the set flag is verified, and if there is a set flag (step S14: YES), the flow proceeds to step S15, and when there is no set flag (step S14: NO), Proceed to step S17.

In step S15, vehicle separation is performed based on the finally set flag as a reference, that is, a boundary, and one vehicle is detected. In detail, all axle information acquired before the final setting of a flag is made into axle information for one vehicle, and the axle information acquired after final setting of a flag is divided as axle information of another vehicle following.

In step S16, the axle information acquired after the final setting of the flag is returned as axle information of the subsequent vehicle. Thereafter, this flow chart ends to move to the next vehicle separation. Even when there is no axle information to be returned, this flowchart is completed in order to move to the next vehicle separation.

Since the returned axle information can be treated as axle information of the preceding axle in the flowchart, the processing from S1 to S3 can be omitted only for the axle.

In step S17, it is verified whether the acquired number of axle information is less than two. When the number of axle information is less than 2 (step S17: YES), the flow proceeds to step S18. When the number of axle information is not less than 2 (step S17: NO), the flow proceeds to step S19.

For example, with respect to two vehicles having the same vehicle classification and speed, after the rear axle of the preceding vehicle is detected by the axle weight sensors 32a and 32b, within the timer time set in step S4, If the foremost axle is detected (YES at steps S5, 58, S1: YES), and the distance between the detected two axes is not in the vehicle data 35a, 35b (step S12: NO), the flag is set. Since the process proceeds to step S17 via step S14 without proceeding to step S13, the number of axle information in step S17 becomes 2 (rear axle of the leading vehicle and the front axle of the trailing vehicle) (step S17: NO). ), The process proceeds to step S19.

When the rear axle of the preceding vehicle is detected by the axial sensors 32a and 32b, and the front axle of the following vehicle is not detected within the timer time set in step S4 (step S5: NO), Since the flow proceeds to step S17 via step S14 without proceeding to steps S6 to S12, the number of axle information in step S17 becomes 1 (only the rearmost axle of the preceding vehicle), and the flow advances to step S18.

In step S18, since the acquired axle information cannot be returned to the following vehicle as that of the preceding vehicle, the axle information is discarded. Thereafter, the flow chart ends to shift to the next vehicle separation. On the other hand, in step S19, the acquired axle information is that of the preceding vehicle and the following vehicle, and only the finally obtained axle information is returned as the axle information of the following vehicle. Thereafter, this flow chart ends to move to the next vehicle separation.

In addition, since the returned axle information can be treated as the axle information of the preceding axle in this flowchart, the processing from S1 to S3 can be omitted only with respect to the axle.

As described above, in the above-described first embodiment, the distance between the preceding and the following axles is calculated based on the detection result by the axle weight sensors 32a and 32b and the like. Whether the preceding and the following axles are the axles of the same vehicle by whether or not it matches any of the interaxial distance information between the axles included in the interaxial distance items 35h or 35s in the corresponding vehicle data 35a or 35b. Can be determined. When it is determined that the preceding axle and the trailing axle are not the axles of the same vehicle, the measurement result of the axle weight up to the preceding axle and the measurement result of the axle weight of the following axle are separated, and the shaft to the separated preceding axle is separated. Based on the measurement result of the weight, the total weight of each traveling vehicle is calculated.

Therefore, the vehicle separation can be performed using the axle weight sensors 32a and 32b without separately providing a loop vehicle detector, a photoelectric switch, or the like, and the total weight of each vehicle can be calculated.

In addition, whenever the axle is detected by the axle weight sensors 32a and 32b, the distance between the axles of the axles is compared with the vehicle data 35a and 35b. Since it is determined that the axle is not the axle, and the measurement result up to the preceding axle is separated from the measurement result of the trailing axle, the vehicle can be separated by checking whether the vehicle 12 is the same vehicle from the front in the traveling direction. For this reason, it becomes possible to quickly isolate a vehicle with respect to a vehicle having a small number of axles.

Further, as a method for determining whether the preceding and the following axles are the axles of the same vehicle, in addition to the comparison between the axle distances, a detection time limit in the detection of the following axles is set at the time of detecting the preceding axles. A method for determining whether the preceding and the following axles are the axles of the same vehicle is determined based on whether or not the trailing axle is detected within the detection time limit (step S5), and the vehicle classification according to the axle weight value is provided. A method for determining whether the preceding and the following axles are the axles of the same vehicle by whether the corresponding vehicle segment and the following axle correspond to the corresponding vehicle segment (step S8), and the speed and the following of the preceding axle Since the difference between the speed of the axle and the predetermined axle is equal to or less than a predetermined threshold, a method of determining whether the preceding and the following axles are the axles of the same vehicle (step S10) is provided. Reliability can be increased while the vehicle is separated quickly.

9 is a flowchart showing a second embodiment of the vehicle separating method in the axial weight measurement system 100.

In this flow chart, similar to the flow chart of FIG. 8, the axle detected beforehand by the axle weight sensor among the axles passing through the axle weight sensors 32a and 32b as the preceding axle, and subsequently detected by the axle. Is the trailing axle.

In step S21, the preceding axle (the axle of the first axis immediately after the measurement start) passes on the shaft weight sensors 32a and 32b, so that a signal corresponding to the shaft weight of the axis is transmitted from the shaft weight sensors 32a and 32b. Is output. In the axial weight measuring apparatus 13, calculation and the like are performed by the signal converter 33 (FIG. 3) and the controller 31 (FIG. 3) based on the output signals from the axial weight sensors 32a and 32b. The shaft weight data of the preceding axle is created.

In step S22, the vehicle classification of the preceding axle is performed based on the vehicle classification (for example, a large vehicle or a normal vehicle) according to the preset shaft weight value. In this embodiment, the axial weight is divided into two: a vehicle of 1.5t or more (large car) and a vehicle of less than 1.5t (normal car).

In step S23, the passage time between the shaft weight sensors 32a and 32b is determined by the time when the preceding axle passes through the shaft weight sensor 32a and the time when the same axle passes through the shaft weight sensor 32b. And calculate the speed of the preceding axle, that is, the speed of the vehicle having the axle, according to a predetermined algorithm, based on the passage time and the arrangement interval L (Fig. 1) of the axle weight sensors 32a and 32b. Calculate. In addition, the time when the preceding axle passed on the axial weight sensors 32a and 32b is shown by the time display part 34 (FIG. 3).

In step S24, the maximum value of the farthest axial distance of the vehicle classification is derived based on the vehicle classification of the preceding axle, and the calculation is performed based on the maximum value of the farthest axis distance derived and the speed of the preceding axle calculated in step S23. The maximum time until the shaft weight sensors 32a and 32b detect the trailing axle (the second axle immediately after the measurement start) is calculated. The timer (not shown) is set based on the calculated time.

In detail, when the axial weight of the preceding axle is 1.5t or more, the vehicle data 35a (FIG. 6) is selected from the two vehicle data stored in the predetermined storage area of the storage unit 35 (FIG. 3). The maximum value of the farthest axial distance is derived from the farthest axial distance information for each vehicle included in the furthest axial distance item 35g in the vehicle data 35a. In addition, when less than 1.5t, the vehicle data 35b (FIG. 7) is selected, and from the farthest axial distance information for each vehicle included in the furthest axial distance item 35r in the vehicle data 35b, Obtain the maximum of the farthest axis distances.

In step S25, it is determined whether or not a trailing axle (not shown) has been detected by the shaft weight sensors 32a and 32b within the time set in the timer in step S24 (hereinafter referred to as "timer time"). In a case (step S25: YES), the process proceeds to step S26, and when it is not detected (step S25: NO), the process proceeds to step S34 or less.

In step S26, the axial weight data of the trailing axle is created, and in step S27, the vehicle classification of the trailing axle is performed. In addition, since it is the same as that of step S21 about the creation method of this axial weight data, and the method of vehicle division is the same as that of step S22, description is abbreviate | omitted.

In step S28, it is verified whether or not the vehicle segment of the preceding axle and the vehicle segment of the trailing axle match. If the vehicle segment coincides (step S23: YES), the flow advances to step S29, and if it does not match (step S28) S28: NO) advances below step S34.

In step S29, the speed of the trailing axle, ie, the speed of the vehicle having the axle, is passed through the shaft weight sensors 32a and 32b within the timer time. In addition, about the speed calculation method, since it is the same as that of step S23, description is abbreviate | omitted.

In step S30, the difference between the speed of the preceding axle and the speed of the following axle is calculated, and it is verified whether the difference is equal to or less than a predetermined threshold. As a result of the verification, when the difference is equal to or less than the predetermined threshold (step S30: YES), the process proceeds to step S31, and when not equal to or less than the predetermined threshold (step S30: NO), the process proceeds to step S34 or less.

In step S31, calculation is performed according to a predetermined algorithm on the basis of the speed of the preceding axle, the speed of the following axle, and the like, and the distance between the axes of the preceding axle and the following axle is calculated.

In step S32, the axle information (inter-axis distance calculated in step S31, the speed of each axle, the inter-axis distance, etc.) calculated about the preceding axle and the following axle is stored in the predetermined storage area of the storage unit 35 in ascending order. It is remembered once.

In step S33, it is verified whether or not the number of axle information stored in the predetermined storage area of the storage unit 35 is the maximum, and when it is the maximum (step S33: YES), the process proceeds to step S34, which is not the maximum. In the case (step S33: NO), the flow returns to step S24 to prepare for the detection of the following axle. At that time, information, such as vehicle classification and speed, regarding the acquired rear axle is returned as the information of the preceding axle.

That is, in the detection of the 1st axis and the 2nd axis, the information about the 2nd axis handled as the following axle information is treated as a prior axle calculation in the detection of the 2nd axis and the 3rd axis. Thereby, since the process from step S21 to step S23 can be skipped, it can also prepare quickly for the detection of a following axle.

The maximum value of the number of axle information is equal to the number of the interaxial distance information included in the items 35h and 35s of the vehicle data 35a and 35b stored in the predetermined storage area of the storage unit 35. In the embodiment, since a vehicle having up to 11 axles can be detected, the maximum value of the number of axle information is 10.

In step S34, the vehicle data corresponding to the vehicle segment that is calculated in step S31 and coincides with each of the interaxial distances stored in step S32 corresponds to the vehicle classification (35a in FIG. 6 or 35b in FIG. 7). Verifies whether or not

When the verification target data is the vehicle data 35a, each of the interaxial distance information between the axles included in the small items D1 to D10 of the interaxial distance item 35h matches each of the interaxial distances calculated in step S31. Is verified. For example, it is verified whether the interaxial distance between the 1 to 2 axes calculated in step S31 and the interaxial distance information of the small item D1 of the interaxial distance item 35h match.

Also in the case where the verification target data is the vehicle data 35b, the same verification as described above is performed.

In step S35, when the inter-axis distance information included in the front axle information matches in step S34 (step S35: YES), the process proceeds to step S40 or later, and when it does not match (step S35: NO) The flow advances to step S36.

In step S36, among the axle information to be verified in step S34, the axle information about the rearmost axle is excluded from the verification object. For example, when no matching result is obtained with respect to the axle information of all 11 axes, new verification of the axle information from 1 to 10 axes, that is, all 10 axes, except the 11th axle information is performed. It is targeted.

In depth S37, it is verified whether or not the number of axle axes is two or more of the new verification target. When the number of axles is two or more, that is, when the number of axle information is two or more (step S37: YES), the flow returns to step S34 to re-verify all axle information that is a new verification target. Even if the re-verification is repeated by repeating steps S34 to S37, the axle information cannot be matched, and the axle information is sequentially removed from the rear, so that the number of axles is less than two axes, that is, the number of the axle informations is only one of the frontmost. In the case (step S37: NO), the flow proceeds to step S38.

In step S38, after returning the axle information excluded from the verification target in step S36, among the axle information that was the verification target, the axle information about the foremost axle, that is, the axle information for one axis, is deleted. For example, when the axle information of all 11 axes is to be verified and a match is not obtained even for the distance between the axes of 1 to 2 axes of the axle information, the axle information of the 1st axis is deleted and the 2nd axis or later is removed. The axle information of the first ten axes is newly obtained by pulling up the axle information of the first axis.

In step S39, after deleting the axle information for one axis in step S38, it is verified whether or not the number of axles to be verified is two or more, and when the number of axles is two or more, that is, the axle information number is two or more ( Step S39: YES), the flow returns to step S34 to re-verify all axle information that has become a new verification target. Even if revalidation is repeated by repeating steps S34 to S39, the axle information cannot be matched, the axle information is sequentially deleted from the front, and when the number of axles is less than two axes, that is, the number of axle information is one (step S39: NO), this flow chart ends to shift to the next vehicle separation.

In step S40, receiving the result of step S35, vehicle separation is performed, and one vehicle is detected. For example, when the number of axle information at the start of verification is 11 and all the axle information of all 11 axes match in subsequent verification, the number of axle numbers is detected as a vehicle of 11. In addition, after the number of axle information at the start of the verification is 11, and the subsequent verification, the three axle information is excluded from the verification target (step S36), after the axle information for one axis is deleted (step S38), If all of the remaining seven axles match the axle information, the number of axles is detected as seven vehicles.

In step S41, it is checked whether there is axle information excluded from the verification target between steps S34 to S39 until the vehicle separation is performed in step S40, and when there is axle information excluded (step S41: YES), the flow proceeds to step S42, and when there is no excluded axle information (step S41: NO), the flow chart ends in order to move to the next vehicle separation.

In step S42, this flow chart is complete | finished in order to return and return the axle information removed from the donation object as axle information at the time of performing next vehicle separation, and to move to the next vehicle separation after that.

In addition, since the axle information deleted in step S38 is not the axle information of the following vehicle, it is not a return object.

As described above, in the above-described second embodiment, the interaxial distance between the preceding axle and the following axle is calculated on the basis of the detection result by the axle weight sensors 32a and 32b and the like, and the interaxial distance up to 11 axes is once stored. Then, it is verified whether the inter-axis distance information corresponding to each of the inter-axis distances is in the vehicle data (35a in FIG. 6 or 35b in FIG. 7).

If the result of the verification does not obtain a consistent result for all the interaxial distances, the determination is repeated with the rear axle removed sequentially, and if a matched result is obtained, the axle weight measurement for the axle of the corresponding interaxial distance is obtained. Separate the result of the measurement of the weight of the shaft with respect to the axle of the distance between the shafts. And based on the separated axial weight measurement result, the total weight for every traveling vehicle is computed.

Therefore, vehicle separation can be performed using the axle weight sensors 32a and 32b without separately providing a loop vehicle detector, a photoelectric switch, or the like, and the total weight of each vehicle can be calculated.

In addition, after the calculated inter-axis distance is stored to a predetermined value, the inter-axis distance is compared with the vehicle data 35a and 35b, and when a matching result is not obtained, the determination is repeated by excluding the rear axle sequentially. Since the axial weight measurement result is separated when a matching result is obtained, it is possible to check whether the vehicle is the same vehicle from the rear with respect to the advancing direction of the vehicle 12 and to perform vehicle separation. For this reason, it becomes possible to perform vehicle separation quickly regarding a vehicle with a large number of axles.

Further, as a method for determining whether the preceding and the following axles are the axles of the same vehicle, in addition to the comparison between the axle distances, a detection time limit in the detection of the following axles is set at the time of detecting the preceding axles. A method for determining whether the preceding and the following axles are the axles of the same vehicle is determined based on whether or not the trailing axle is detected within the detection time limit (step S25), and the vehicle classification according to the axle weight value is provided. A method for determining whether the preceding and the following axles are the axles of the same vehicle by whether the corresponding vehicle segment and the following axle correspond to the corresponding vehicle segment (step S23), and the speed and the following of the preceding axle Since the difference between the speed of the axle and a predetermined threshold is equal to or less than the predetermined threshold, a method for determining whether the preceding and the following axles are the axles of the same vehicle is provided (step S30). , It is possible to increase the reliability while quickly performing a separate vehicle.

In the present invention, various embodiments can be adopted in addition to those described above. For example, in the said embodiment, although the vehicle division was made into two divisions when an axial weight is 1.5t or more and less than 1.5t, it is not limited to this, You may divide further.

In addition, in the said embodiment, although the axial weight measuring apparatus 13 and the measurement control processing apparatus 15 were each installed in the shoulder of the road 11, it is not limited to this, The axial quantity measuring apparatus 13 measures-controlling-processing. The unit 15 may be assembled into one unit.

BRIEF DESCRIPTION OF THE DRAWINGS The figure which shows an example of the axial weight measurement system which concerns on this invention.

2 shows an example of a conventional axial weight measurement system.

3 is a block diagram of an axial weight measuring device.

4 is a block diagram of a measurement control processing apparatus;

5 is a block diagram of a host device.

6 illustrates an example of vehicle data.

7 illustrates an example of vehicle data.

8 is a flowchart showing an example of a vehicle separation method according to the present invention;

9 is a flow chart showing an example of a vehicle separation method in the present invention.

10 is a diagram showing the relationship between each axle.

(Explanation of symbols for the main parts of the drawing)

11: road 12: vehicle

13: Axis Weight Measuring Apparatus 15: Measurement Control Processing Apparatus

16: host device 31: control unit

32a, 32b: shaft weight sensor 35: memory

35a, 35b: vehicle data 51: data processing unit

Claims (7)

In the axle weight measurement system for measuring the axle weight of the traveling vehicle based on the detection output of the axle weight sensor arranged on the road surface, Axle weight measuring means having a plurality of axle weight sensors arranged at predetermined intervals in a travel direction of the vehicle, the axle weight measuring means measuring the axle weight of the traveling vehicle based on the detection output of each axle weight sensor; Calculating means for calculating an interaxial distance between the respective axles based on the detection output of the respective axle weight sensors; Storage means for storing vehicle data including inter-shaft distance information between the respective axles for each vehicle, Determination means for comparing the inter-axis distance information calculated by the calculating means with the inter-axis distance information included in the vehicle data of the storage means, and determining whether each axle is the axle of the same vehicle by whether or not they match; And a separating means for separating a plurality of measurement results in the shaft weight measurement means for each vehicle based on the determination result of the determination means. The method of claim 1, The determination means compares the inter-axis distance and the inter-axis distance information included in the vehicle data each time the inter-axis distance is calculated by the calculating means, and when the two do not coincide with each other, an unmatched inter-axis distance is achieved. Of the two axles, it is determined that the preceding axle detected earlier by the axle weight sensor and the trailing axle detected later by the axle weight sensor are not the axles of the same vehicle, When the separating means determines that the preceding axle and the following axle are not the axles of the same vehicle by the determining means, the measurement result up to the preceding axle by the axle weight measuring means and the axle weight measuring means A shaft weighing system characterized by separating the measurement result of the trailing axle. The method of claim 1, The determining means compares each of the corresponding inter-axis distances with the inter-axis distance information included in the vehicle data after the predetermined number of inter-axis distances calculated by the calculating means is stored and obtains a result corresponding to all the inter-axis distances. If not, the determination is repeated with the rear axle removed sequentially. The separating means is adapted to determine the axle of the interaxial distance that does not coincide with the measurement result by the axial quantity measuring means with respect to the axle of the corresponding interaxial distance when the determination result of the interaxial distance is obtained by the determining means. And a measurement result by the shaft weight measurement means. The method according to any one of claims 1 to 3, The vehicle data also has the farthest axial distance information for each vehicle, The detection time limit of the trailing axle is set based on the maximum value of the farthest axis distance derived from the plurality of farthest axis distance information and the speed of the preceding axle calculated from the detection output of the respective axis weight sensors. And when the trailing axle is not detected within a time limit, the determining means determines that the preceding axle and the trailing axle are not the axle of the same vehicle. The method according to any one of claims 1 to 3, A plurality of vehicle segments are set according to the axial weight value, The judging means judges whether or not the vehicle segment corresponding to the preceding axle corresponds to the vehicle segment corresponding to the trailing axle on the basis of the shaft weights of the preceding axle and the trailing axle measured by the shaft weight measuring means. In this other case, it is determined that the preceding axle and the trailing axle are not the axle of the same vehicle. The method according to any one of claims 1 to 3, The judging means judges whether or not the difference between the speed of the preceding axle and the speed of the following axle calculated from the detection output of the respective axial weight sensors is equal to or less than a predetermined threshold, and when not equal to or less than a predetermined threshold, And determine that the preceding axle and the trailing axle are not the axle of the same vehicle. A vehicle separation method in an axle weight measuring system for measuring an axle weight of a traveling vehicle based on detection outputs of a plurality of axle weight sensors arranged on a road surface, Calculating an interaxial distance between the respective axles based on the detection output of the respective axle weight sensors; Comparing the calculated inter-shaft distance with the inter-shaft distance information between the axles for each vehicle in the vehicle data, and determining whether each axle is the axle of the same vehicle by whether or not they match; And a step of separating the vehicles into units for each vehicle based on the determination result.

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