JP6592827B2 - Apparatus, method, program, and recording medium for identifying weight of vehicle traveling on traffic road - Google Patents

Description

  The present invention relates to a technique for specifying the weight of a vehicle traveling on a traffic road.

  If it is possible to continuously measure the traffic load on a road, such as a road or railroad, the degree of deterioration of the structure that constitutes the road (hereinafter referred to as “traffic road structure”) can be estimated. Allotment of resources for maintenance and reinforcement of traffic road structures, etc. can be rationally performed.

  As a method for continuously measuring the traffic load, W is used to measure the distortion of a member of a traffic road structure that occurs when the vehicle passes a predetermined section of the traffic road, and calculates the weight of the vehicle that has passed based on the measured distortion. . I. M.M. There is a technique called (Weigh-In-Motion).

  W. I. M.M. For example, Patent Document 1 discloses a technique that discloses a technique for continuously measuring a traffic load by using a computer. Patent Document 1 describes a strain sensor for weight calculation arranged on the lower flange of a girder bridge, the lower rib of a horizontal rib of a steel deck slab bridge, the upper flange side of the vertical stiffener of the girder bridge, the steel deck slab girder A system for calculating the axle load of a vehicle traveling in each lane based on a strain measured by an axis detection strain sensor arranged at a position corresponding to each of a plurality of lanes, such as the top of a bridge truffle. Has been.

JP 2006-084404 A

  According to the invention described in Patent Document 1, W.W. I. M.M. In the continuous measurement of traffic load using, the weight of each vehicle traveling in a plurality of lanes can be specified.

  An object of the present invention is to provide means for identifying the weight of each vehicle that has traveled simultaneously in each of a plurality of lanes of a traffic road by an approach different from the invention described in Patent Document 1.

In order to solve the above-described problem, the present invention determines the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) among n lanes (n is a natural number satisfying 2 ≦ n). When the vehicle is a traveling lane, and one or more lanes other than the traveling lane among the n lanes are non-traveling lanes, for each i, the vehicle travels only in the traveling lane in a certain section of the traffic path. A first relationship that is a relationship between a distortion of a structure that constitutes the traffic road at a position corresponding to the travel lane, a speed of the vehicle, and a weight of the vehicle, and a certain section of the traffic road Distortion of the structure at a position corresponding to the travel lane and distortion of the structure at a position corresponding to the non-travel lane for each of the one or more non-travel lanes when the vehicle travels only in the travel lane The second relationship that is the relationship with Or relationship data acquisition means for acquiring relationship data indicating relationship derived based on the first relationship and the second relationship, and in the same period in the certain section of the traffic route, When one vehicle travels in each of m lanes arbitrarily selected from n lanes (m is a natural number satisfying 2 ≦ m ≦ n), the vehicle corresponds to each of the m lanes. Measurement data acquisition means for acquiring distortion data indicating distortion of the structure measured at a position, and speed data indicating a measured value of the speed of a vehicle that has traveled in each of the m lanes, the relation data, There is provided a vehicle weight specifying device including weight specifying means for specifying the weight of a vehicle that has traveled in each of the m lanes based on the distortion data and the speed data.

  In a preferred aspect, the relationship data acquisition means includes the first relationship and the weight of the vehicle and the one or more non-travel lanes when the vehicle travels only in the travel lane in a certain section of the traffic path. Obtaining the relationship data indicating a relationship with the weight of the vehicle specified according to the first relationship with respect to the non-traveling lane according to the distortion of the structure at a position according to the non-traveling lane for each of the Such a configuration may be adopted.

  In the present invention, the nth (n is a natural number satisfying 2 ≦ n) lanes of the traffic road is the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) as a traveling lane, and the n When one or more lanes other than the travel lane among the lanes are set as non-travel lanes, for each i, the device travels only in the travel lane in a certain section of the traffic path. A first relationship that is a relationship between a distortion of a structure constituting the traffic road at a position corresponding to the travel lane, a speed of the vehicle, and a weight of the vehicle; and the travel lane in a certain section of the traffic road The relationship between the distortion of the structure at a position corresponding to the traveling lane and the distortion of the structure at a position corresponding to the non-traveling lane for each of the one or more non-traveling lanes when the vehicle travels only A relational denoting a second relation that is Or relationship data indicating a relationship derived based on the first relationship and the second relationship, and in a certain section of the traffic route, in the same period, out of the n lanes When the vehicle travels one by one in each of the arbitrarily selected m lanes (m is a natural number satisfying 2 ≦ m ≦ n), the device is in a position corresponding to each of the m lanes. Acquiring strain data indicating the measured strain of the structure and speed data indicating a measured value of the speed of a vehicle that has traveled in each of the m lanes, and the apparatus includes the relation data, And a step of identifying the weight of a vehicle that has traveled in each of the m lanes based on strain data and the speed data.

  Further, according to the present invention, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) among the n (n is a natural number satisfying 2 ≦ n) traffic lanes is set as a traveling lane. , When one or more lanes other than the travel lane among the n lanes are non-travel lanes, for each i, when the vehicle travels only in the travel lane in a certain section of the traffic road, A first relationship that is a relationship between a distortion of a structure constituting the traffic road at a position corresponding to the travel lane, a speed of the vehicle, and a weight of the vehicle; and the travel lane in a certain section of the traffic road The relationship between the distortion of the structure at a position corresponding to the traveling lane and the distortion of the structure at a position corresponding to the non-traveling lane for each of the one or more non-traveling lanes when the vehicle travels only A second relationship that is Processing for obtaining relationship data, or relationship data indicating a relationship derived based on the first relationship and the second relationship, and in a certain section of the traffic route, in the same period, the n lanes Of the m lanes arbitrarily selected (m is a natural number satisfying 2 ≦ m ≦ n), each vehicle was measured at a position corresponding to each of the m lanes. Processing for acquiring strain data indicating strain of the structure and speed data indicating a measured value of the speed of a vehicle that has traveled in each of the m lanes, the relationship data, the strain data, and the speed data; And a program for executing a process of identifying the weight of a vehicle that has traveled in each of the m lanes.

Further, according to the present invention, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) among the n (n is a natural number satisfying 2 ≦ n) traffic lanes is set as a traveling lane. , When one or more lanes other than the travel lane among the n lanes are non-travel lanes, for each i, when the vehicle travels only in the travel lane in a certain section of the traffic road, A first relationship that is a relationship between a distortion of a structure constituting the traffic road at a position corresponding to the travel lane, a speed of the vehicle, and a weight of the vehicle; and the travel lane in a certain section of the traffic road The relationship between the distortion of the structure at a position corresponding to the traveling lane and the distortion of the structure at a position corresponding to the non-traveling lane for each of the one or more non-traveling lanes when the vehicle travels only A second relationship that is Processing for obtaining relationship data, or relationship data indicating a relationship derived based on the first relationship and the second relationship, and in a certain section of the traffic route, in the same period, the n lanes Of the m lanes arbitrarily selected (m is a natural number satisfying 2 ≦ m ≦ n), each vehicle was measured at a position corresponding to each of the m lanes. Processing for acquiring strain data indicating strain of the structure and speed data indicating a measured value of the speed of a vehicle that has traveled in each of the m lanes, the relationship data, the strain data, and the speed data; And a computer-readable recording medium for continuously recording a program for executing a process for identifying the weight of a vehicle that has traveled in each of the m lanes.

  According to the present invention, the weight of each vehicle that has traveled simultaneously in each of a plurality of lanes of a traffic road is specified.

The figure which showed the whole structure of the vehicle weight specific system concerning one Embodiment. The figure which showed the whole structure of the vehicle weight specific system concerning one Embodiment. The graph which illustrated the time-dependent change of the distortion measurement value which the distortion meter for axle detection concerning one embodiment measures. The graph which illustrated the time-dependent change of the distortion measurement value which the distortion meter for axle detection concerning one embodiment measures. The graph which illustrated the time-dependent change of the distortion measured value which the strain meter for vehicle weight specification concerning one Embodiment measures. The graph which illustrated the time-dependent change of the distortion measurement value measured when the strain meter for vehicle weight specification concerning one Embodiment measured each of several lanes simultaneously. The graph which illustrated the time-dependent change of the distortion measurement value measured when the strain meter for vehicle weight specification concerning one Embodiment measured each of several lanes simultaneously. The figure which showed the basic composition of the computer used as hardware of the vehicle weight specific apparatus concerning one Embodiment. The figure which showed the function structure of the vehicle weight specific apparatus concerning one Embodiment. The figure which illustrated the data composition of the test result table memorized by the vehicle weight specific device concerning one embodiment. The figure which illustrated the data composition of the test result table memorized by the vehicle weight specific device concerning one embodiment.

  A vehicle weight identification system 1 according to an embodiment of the present invention will be described below. The vehicle weight identification system 1 is a system that individually identifies the vehicle weight of a vehicle that travels simultaneously in each of a plurality of lanes in a predetermined section of a road having a plurality of lanes.

1 and 2 are diagrams showing the overall configuration of the vehicle weight identification system 1. The vehicle weight identification system 1 illustrated in FIGS. 1 and 2 identifies the weight of a vehicle traveling on the road 9. FIG. 1 is a view of the road 9 as viewed from the side, and FIG. 2 is a view of the road 9 as viewed from above. As shown in FIG. 1, the road 9 includes a plurality of bridge piers 91, a bridge girder 92 disposed on the plurality of piers 91, a floor slab 93 disposed on the bridge girder 92, and a floor slab 93. A pavement 94 is provided. The bridge girder 92 is a lower flange 921 that is a plate-like body arranged so as to bridge adjacent piers 91, a web 922 that is a plurality of plate-like bodies extending above the lower flange 921, and a web 922. The upper flange 923 which is a plate-shaped body arrange | positioned on is provided. As shown in FIG. 2, the road 9 is a two-lane road on one side. For example, lane 951 and lane 952 shown in FIG. 2 are up lanes, and lane 953 and lane 954 are down lanes.

  First, the vehicle weight identification system 1 includes a plurality of strain gauges that continuously measure the distortion of the road 9. Specifically, the vehicle weight identification system 1 is provided on the upper flange 923 of a section (hereinafter referred to as a “strain gauge installation section”) between two adjacent piers 91 selected by a measurement operator or the like on the road 9. Installed strain gauges 11-1 to 11-4 (hereinafter collectively referred to as “strain gauge 11”), strain gauges 12-1 to 12-4 (hereinafter collectively referred to as “strain gauge 12”), and strain gauges Strain gauges 13-1 to 13-4 (hereinafter collectively referred to as “strain gauge 13”) installed on the lower flange 921 of the installation section are provided.

  The strain gauge 11 and the strain gauge 12 are used for detecting the axle of a vehicle traveling in the strain gauge installation section of the road 9. The strain gauges 11-1 to 11-4 correspond to the lane 951 to the lane 954, respectively. Similarly, the strain gauges 12-1 to 12-4 correspond to the lane 951 to the lane 954, respectively. Each of the strain gauge 11 and the strain gauge 12 is arranged at a position where, for example, the left wheel of the corresponding lane normally passes in the transverse direction of the road 9 (the left-right direction with respect to the traveling direction of the vehicle). Further, the strain gauges 11 and the strain gauges 12 corresponding to the same lane are arranged at a predetermined interval so that the strain gauges 11 are on the rear side in the traveling direction of the vehicle and the strain gauges 12 are on the front side in the traveling direction of the vehicle. Has been.

  The strain gauge 13 is used to specify the weight of the vehicle traveling in the strain gauge installation section of the road 9. The strain gauges 13-1 to 13-4 correspond to the lane 951 to the lane 954, respectively. Each of the strain gauges 13 is disposed approximately at the center position of the strain gauge installation section in the traveling direction of the vehicle. In addition, each of the strain gauges 13 is disposed approximately at the center of the corresponding lane in the crossing direction of the road 9 (left and right direction with respect to the traveling direction of the vehicle).

  3A, 3B, and 3C show strain measurement measured by the strain gauge 11-1, the strain gauge 12-1, and the strain gauge 13-1 when a certain vehicle passes only the lane 951 in the strain gauge installation section. It is the graph which illustrated each time-dependent change of a value. Each of the three peaks appearing in the graph of FIG. 3A indicates the distortion generated in the upper flange 923 when the axle of the vehicle passes through the position of the strain gauge 11-1. Similarly, each of the three peaks appearing in the graph of FIG. 3B indicates the distortion generated in the upper flange 923 when the vehicle axle passes through the position of the strain gauge 12-1. Therefore, for example, the time T from the appearance timing of the first peak in the graph of FIG. 3A to the appearance timing of the first peak in the graph of FIG. 3B is the distance L between the strain gauges 11-1 and 12-1. Indicates the time required for the vehicle to travel. Accordingly, by dividing the distance L by the time T, the vehicle speed V is specified.

  Since the strain gauge 13-1 has a long influence line length of members, the peak corresponding to each axle of the vehicle does not appear clearly in the graph shown in FIG. 3C. The graph shown in FIG. 3C is used to specify the weight of the vehicle. Specifically, the area obtained by multiplying the area between the graph shown in FIG. 3C and the X-axis, that is, the time integral value of the strain measurement value measured by the strain meter 13-1, by the vehicle speed V is: The value according to the weight W of the vehicle is shown. Hereinafter, a value obtained by multiplying the time integral value of the strain measurement value measured by the strain gauge 13 by the vehicle speed V is referred to as a “vehicle weight index value”.

For example, it is assumed that the time integration value of the strain measurement value of the strain gauge 13-1 when the lane 951 is driven at a speed of 50 km / h on a test vehicle having a weight of 10 tons is 35.0. In this case, if the vehicle weight index value indicated by the strain measurement value measured by the strain gauge 11-1, the strain gauge 12-1, and the strain gauge 13-1 when a vehicle of unknown weight passes is a value of 1750. Thus, the weight of the vehicle that has passed is specified to be 10 tons. The same test measurement is performed using a plurality of test vehicles having different weights, and the relationship between the vehicle weight index value obtained from the measurement results and the vehicle weight is expressed, for example, as a relational expression or correspondence table obtained by polynomial approximation or the like. Record it. Thereafter, when a vehicle with an unknown weight passes through the lane 951 of the strain gauge installation section, the weight index value indicated by the strain measurement value measured by the strain gauge 11-1, the strain gauge 12-1, and the strain gauge 13-1 is obtained. By specifying the corresponding weight in accordance with a relational expression or correspondence table recorded in advance, the weight of the vehicle that has passed can be specified.

  The method for specifying the weight of the vehicle described above with reference to FIGS. 3A to 3C with respect to the lane 951 is similarly used for lanes other than the lane 951.

FIG. 3C is a graph illustrating the change over time of the strain measurement value measured by the strain gauge 13-1 when a certain vehicle passes through only the lane 951 as described above. Actually, a vehicle having a different weight may travel on each of the plurality of lanes in the strain gauge installation section at the same time. FIG. 4A exemplifies the change over time of the strain measurement value measured by the strain gauge 11-1 when a vehicle having a different weight travels in each of the lane 951 and the lane 952 in the strain gauge installation section at the same time as an example. It is a graph. 4B shows the change over time of the strain measurement value measured by the strain gauge 13-2 corresponding to the lane 952 while the strain shown in FIG. 4A is measured by the strain gauge 13-1 corresponding to the lane 951. It is the illustrated graph. Note that the speed V of the vehicle A traveling in the lane 951 is based on the strain measurement values measured by the strain gauge 11-1 and the strain gauge 12-1 while the strain shown in FIG. 4A is measured by the strain gauge 13-1. _A is specified. Similarly, the speed of the vehicle B traveling on the lane 952 based on the strain measurement values measured by the strain gauge 11-2 and the strain gauge 12-2 while the strain shown in FIG. 4B is measured by the strain gauge 13-2. V _B is specified.

In FIG. 4A, the change with time of the strain measurement value measured by the strain meter 13-1 is shown by a curve O _{(1, A + B)} . _A time-dependent change in the strain measurement value indicated by the curve O _{(1, A + B)} is obtained when the vehicle A travels at a speed V _A on the lane 951 indicated by the curve T _{(1, A)} in FIG. 4A. The strain gauge 13-1 measures the time-dependent change of the strain measurement value measured by 13-1 and when the vehicle B travels at the speed V _B on the lane 952 indicated by the curve F _{(1, B)} in FIG. 4A. This is the sum of changes over time in strain measurement values. Therefore, in this case, the vehicle weight index value obtained by multiplying the time integral value of the strain measurement value indicated by the strain gauge 13-1 by the speed V _A of the vehicle A traveling on the lane 951 is the weight of the vehicle A. It will not be a corresponding value.

Similarly, in FIG. 4B, the change with time of the strain measurement value measured by the strain gauge 13-2 is indicated by a curve O _{(2, A + B)} . The strain measurement value indicated by the curve O _{(2, A + B)} changes with time when the vehicle B travels at the speed V _B on the lane 952 indicated by the curve T _{(2, B)} in FIG. 4A. The strain gauge 13-2 measures the time-dependent change of the strain measurement value measured by 13-2 and when the vehicle A travels at the speed V _A on the lane 951 shown by the curve F ₍₂ , _A) in FIG. 4B. This is the sum of changes over time in strain measurement values. Accordingly, in this case, the vehicle weight index value obtained by multiplying the time integral value of the strain measurement value indicated by the strain gauge 13-2 by the speed V _B of the vehicle B traveling on the lane 952 is the weight of the vehicle B. It will not be a corresponding value.

  The vehicle weight identification system 1 uses a strain measurement value measured by each of the plurality of strain gauges 13 illustrated in FIGS. 4A and 4B, so that the vehicle travels simultaneously in each of the plurality of lanes in the strain gauge installation section. Even in such a case, the vehicle weight specifying device 14 for specifying the weight of the vehicle that has traveled in the individual lanes is provided. The vehicle weight specifying device 14 is connected to each of the strain gauges 11 to 13 by wire or wirelessly, and data indicating strain measurement values output from each of the strain gauges 11 to 13 (hereinafter, strain measurement). Data indicating a change in value over time is referred to as “distortion data” and used to identify the weight of the vehicle.

FIG. 5 is a diagram showing a basic configuration of the computer 10 used as hardware of the vehicle weight identification device 14. The computer 10 includes a memory 101 that stores various data, a processor 102 that performs various data processing according to a program stored in the memory 101, and an IF (Interface) that performs data communication with each of the strain gauges 11 to 13. A communication IF 103, a display device 104 such as a liquid crystal display for displaying an image to the user, and an operation device 105 such as a keyboard for receiving a user operation. Note that an external display device connected to the computer 10 may be used instead of or in addition to the display device 104 built in the computer 10. Further, instead of or in addition to the operation device 105 built in the computer 10, an external operation device connected to the computer 10 may be used.

  FIG. 6 is a diagram illustrating a functional configuration of the vehicle weight identification device 14. That is, the computer 10 performs various data processing according to the application program for the vehicle weight identification device 14 stored in the memory 101, so that the vehicle weight identification device 14 having a function corresponding to the components shown in FIG. Operate. Hereinafter, components of the vehicle weight identification device 14 shown in FIG. 6 will be described.

  The storage unit 141 stores various data. The data stored in the storage unit 141 is specified on the basis of the strain measurement values measured by the strain gauges 11 to 13 for each of the lanes 951 to 954 as the test vehicle travels (test travel). Test result tables H1 to H4 (hereinafter collectively referred to as “test result table H”) storing vehicle speed and the like are included. In the test running, one test vehicle runs in any one of the lanes 951 to 954, and a plurality of test vehicles do not run at the same time.

7A and 7B are diagrams exemplifying data configurations of the test result table H1 and the test result table H2 stored in the storage unit 141. FIG. The test result table H1 is a collection of records corresponding to each test run using the lane 951. Each record of the test result table H1 includes the following fields.
[Car weight]: Stores the weight of the test vehicle.
[Vehicle speed]: Stores the speed of the test run.
[Strain integral value (first lane)]: Stores the time integral value of the strain measurement value of the strain gauge 13-1.
[Vehicle weight index value (first lane)]: Stores the product of [vehicle speed] and [distortion integral value (first lane)].
[Strain integral value (second lane)]: Stores the time integral value of the strain measurement value of the strain gauge 13-2.
[Vehicle weight index value (second lane)]: Stores the product of the value of [vehicle speed] and the value of [distortion integral value (second lane)].

The test result table H2 is a collection of records corresponding to each test run using the lane 952. Each record of the test result table H2 includes the following fields.
[Car weight]: Stores the weight of the test vehicle.
[Vehicle speed]: Stores the speed of the test run.
[Strain integral value (second lane)]: Stores the time integral value of the strain measurement value of the strain gauge 13-2.
[Vehicle weight index value (second lane)]: Stores the product of the value of [vehicle speed] and the value of [distortion integral value (second lane)].
[Strain integral value (first lane)]: Stores the time integral value of the strain measurement value of the strain gauge 13-1.
[Vehicle weight index value (first lane)]: Stores the product of [vehicle speed] and [distortion integral value (first lane)].
[Strain integral value (third lane)]: Stores the time integral value of the strain measurement value of the strain gauge 13-3.
[Vehicle weight index value (third lane)]: Stores the product of the value of [vehicle speed] and the value of [distortion integral value (third lane)].

  As shown in FIGS. 7A and 7B, the test result table H shows the time integral value of the strain measurement value of the strain gauge 13 corresponding to the corresponding lane and the vehicle weight index value obtained by multiplying the time integral value by the vehicle speed. In addition, the time integrated value of the strain measurement value of the strain gauge 13 corresponding to the adjacent lane and the vehicle weight index value obtained by multiplying the time integrated value by the vehicle speed are stored. The test result table H3 and the test result table H4 corresponding to the lane 953 and the lane 954 also have the same data structure as the test result table H1 and the test result table H2.

The storage unit 141 stores relational data indicating the following relational expressions specified in advance based on the data stored in the test result table H.

Equation 1 shows that when a vehicle whose weight is unknown travels only in the lane 951, the weight of the vehicle is based on the curve D ₁ indicating the change over time of the strain measurement value of the strain gauge 13-1 and the speed V ₁ of the vehicle. This is a functional expression for deriving W ₁ . Expressions 2 to 4 are similar function expressions corresponding to the lane 952 to the lane 954.

The storage unit 141 also stores relational data indicating the following relational expressions specified in advance based on the data stored in the test result table H.

Equation 5, when only the lane 952 vehicle weight W ₂ has traveled, the weight W ₁ corresponding to the strain measurement distortion gauge 13-1 is measured, is a function expression to derive, based on the weight W _2. That is, Equation 5 shows that the strain measurement value measured by the strain gauge 13-1 when the vehicle having the weight W ₂ travels only in the lane 952 is the strain gauge 13 when the vehicle having the weight W ₁ travels only in the lane 951. -1 is the same as the strain measurement value to be measured. In other words, Equation 5 represents how much the force applied to the road 9 at the measurement position of the strain gauge 13-2 by the traveling of the vehicle is attenuated while being transmitted to the measurement position of the strain gauge 13-1. Yes.

The relationship shown in Formula 5 is specified as follows from the test result table H1 (FIG. 7A) and the test result table H2 (FIG. 7B). For example, the first record of the test result table H2 illustrated in FIG. 7B shows that when a vehicle having a vehicle weight of 10 tons (an example of W ₂ ) travels only in the lane 952 at a vehicle speed of 50 km / hour, The time integrated value of the strain measurement value of the strain gauge 13-1 corresponding to the lane 951 that is a lane (non-traveling lane) different from a certain lane 952 is 10.2, and the time integrated value is multiplied by a vehicle speed of 50 km / hour. The vehicle weight index value is 510. The vehicle weight (an example of W ₁ ) when the vehicle weight index value is 510 is specified according to the relationship shown in Formula 1 specified from the test result table H1 (FIG. 7A). Thus, according to the vehicle weight shown in the first record of the test result table H2 (an example of a W _2), (an example of W ₁₎ vehicle weight about lane 951 (non-running lane) it is identified. For each of a large number of records, the vehicle weight (an example of W ₁ ) related to the lane 951 (non-traveling lane) corresponding to the vehicle weight (an example of W ₂ ) indicated in the record is similarly specified. Based on a number of combinations of W ₂ and W ₁ specified in this way, Expression 5 is specified by a known method such as polynomial approximation, for example.

Similarly, equation 6 if only lane 951 vehicle weight W ₁ has traveled, the weight W ₂ in accordance with the distortion measurement distortion gauge 13-2 is measured, is a function formula to derive, based on the weight W ₁ .
Further, Equation 7 If only lane 953 vehicle weight W ₃ has traveled, the weight W ₂ strain gauge 13-2 corresponding to the strain measurement to be measured is a function expression to derive, based on the weight W _3.
Further, Equation 8 If only lane 952 vehicle weight W ₂ has traveled, the weight W ₃ of the strain gauge 13-3 corresponding to the strain measurement to be measured is a function expression to derive, based on the weight W _2.
Further, Equation 9 If only lane 954 vehicle weight W ₄ has traveled, the weight W ₃ of the strain gauge 13-3 corresponding to the strain measurement to be measured is a function expression to derive, based on the weight W _4.
Also, Equation 10 if only lane 953 vehicle weight W ₃ has traveled, the weight W ₄ according to the strain measurement distortion gauge 13-4 is measured, is a function expression to derive, based on the weight W _3.

  In the present embodiment, for example, when the vehicle travels in the lane 952, the travel of the vehicle is measured by the strain meter 13-1 and the strain meter 13-3 corresponding to the adjacent lane 951 and the lane 953. It is assumed that it affects the value, but does not affect the strain measurement value measured by the strain gauge 13-4 according to the non-adjacent lane 954 (or has a negligible impact). Yes.

  Returning to FIG. 6, the description of the components of the vehicle weight identification device 14 will be continued. The relational data acquisition unit 142 acquires the relational data indicating Expressions 1 to 10 from the storage unit 141.

  The measurement data acquisition unit 143 continuously acquires strain measurement values from each of the strain gauges 11 to 13. The measurement data acquisition unit 143 stores data indicating the acquired strain measurement values in time series. The data stored by the measurement data acquisition unit 143 is distortion data indicating a change with time of the distortion measurement value. The measurement data acquisition unit 143 includes speed specifying means 1431 for specifying the speed of the vehicle based on the distortion data. The speed specifying unit 1431 specifies the speed of the vehicle that has passed through each lane in the strain gauge installation section by the method described with reference to FIGS. 3A and 3B.

  The measurement data acquisition unit 143 cuts out a mountain-shaped curve indicated by the time-dependent change of the strain measurement value measured by each of the strain gauges 13, and in a period according to the cut-out curve, a lane corresponding to the cut-out curve and The presence or absence of a vehicle that has passed through a lane adjacent to the lane is determined. The measurement data acquisition unit 143 specifies the speed of the vehicle that has passed through the lane regarding the lane that is determined to have passed the vehicle.

For example, it is assumed that the vehicle passes through each of the lane 951 and the lane 952 in the strain gauge installation section at the same time, and the vehicle does not pass through the lane 953 and the lane 954. In this case, the time-dependent change of the strain measurement value measured by the strain meter 13-1 shows a mountain shape as shown by the curve O _{(1, A + B)} in FIG. 4A. Further, the time-dependent change of the strain measurement value measured by the strain meter 13-2 shows a mountain shape as shown by the curve O _{(2, A + B)} in FIG. 4B. The measurement data acquisition unit 143 cuts out these mountain-shaped curves.

Subsequently, the measurement data acquisition unit 143 includes a lane 951 corresponding to the curve O _{(1, A + B)} (or a lane 951 adjacent to the lane 952 corresponding to the curve O _{(2, A + B)} ) and the curve O. Lane 952 according to _{(2, A + B)} (or lane 952 adjacent to lane 951 according to curve O _{(1, A + B))} and lane according to curve O _{(2, A + B)} For each of the lanes 953 adjacent to 952, the strain gauges 11-1 to 11-3 and the strain gauges 12-1 in a period corresponding to the curve O _{(1, A + B)} and the curve O _{(2, A + B).} The presence / absence of a vehicle that has passed through these lanes is specified based on whether or not a peak indicating the passage of the axle appears in the time-dependent change in the strain measurement values measured by ~ 12-3. In this case, it is determined that there is a vehicle passing through the lane 951 and the lane 952, and there is no vehicle passing through the lane 953.

The measurement data acquisition unit 143 specifies the speed of each of the vehicles that have passed through these lanes by the speed specifying unit 1431 regarding the lane 951 and the lane 952 that are determined to have passed the vehicle. In this case, the measurement data acquisition unit 143 specifies the speed V _{A of} the vehicle that has passed the lane 951 and the speed V _{B of} the vehicle that has passed the lane 952.

  The measurement data acquisition unit 143 delivers the distortion data indicating the curve cut out as described above and the speed data indicating the speed of the vehicle specified as described above to the weight specifying unit 144 described below.

  Upon receiving strain data and speed data from the measurement data acquisition unit 143, the weight specifying unit 144 specifies the weight of the vehicle that has passed through the strain gauge installation section based on the received strain data and speed data.

  When the weight specifying unit 144 receives the distortion data regarding any one lane and the speed data indicating the speed of the vehicle that has passed through the lane from the measurement data acquisition unit 143, Identify the weight of the vehicle. For example, when the weight specifying unit 144 receives the distortion data regarding the lane 951 and the speed data indicating the speed of the vehicle that has passed the lane 951 from the measurement data acquisition unit 143, the weight of the vehicle that has passed the lane 951 according to Equation 1 is calculated. Identify.

  The weight specifying unit 144 receives the distortion data regarding each of the plurality of lanes and the speed data indicating the speed of the vehicle that has passed through each of the plurality of lanes and the lane adjacent to the lanes from the measurement data acquisition unit 143. In the case, among the formulas 1 to 10, the weights of the vehicles are specified using the formula relating to the lane in which the vehicles have passed.

For example, if the vehicle passes through lanes 951 and 952 at the same time and there is no vehicle passing through lanes 953 and 954, the weight specifying unit 144 uses the strain meter 13-1 to measure from the measurement data acquisition unit 143. curve O was a change with time of the strain measurements is _{(1, a + B)} and strain data indicating, curve O ₍₂ a temporal change of the strain measurement value measured by the strain gauge _{13-2, a + B )} , The speed data indicating the speed V _A of the vehicle A passing the lane 951, and the speed data indicating the speed V _B of the vehicle B passing the lane 952.

In this case, the weight specifying unit 144 specifies the weight W ₁ (T _{(1, A)} , V _A ) of the vehicle A by solving the equation shown in the following Expression 11.

Further, the weight specifying means 144 specifies the weight W ₂ (T _{(2, B)} , V _B ) of the vehicle B by solving the equation shown in the following Expression 12.

The reason why Expression 11 and Expression 12 hold will be described below. First, the curve O _{(1, A + B)} indicated by the strain measurement value measured by the strain gauge 13-1 is regarded as a curve obtained when the vehicle passes through the lane 951 alone at the speed V _A. The weight W ₁ (O _{(1, A + B)} , V _A ) of the vehicle in this case is the component indicating the influence of the vehicle that has passed the lane 951 and the vehicle that has passed the lane 952, as shown in the following Expression 13. It can be expressed separately from components that show influence.

The weight W ₁ (F _{(1, B)} , V _A ) in Equation 13 is actually regarded as the time-dependent change of the strain measurement value due to the vehicle passing the lane 952 as the time-dependent change of the strain measurement value due to the vehicle passing the lane 951. The weight of the vehicle when

Similarly, the curve O _{(2, A + B)} indicated by the strain measurement value measured by the strain gauge 13-2 is a curve obtained when the vehicle passes through the lane 952 alone at the speed V _B. The weight W ₂ (O _{(2, A + B)} , V _B ) of the vehicle in the case of being regarded is a component indicating the influence of the vehicle that has passed the lane 952 and the vehicle that has passed the lane 951 as shown in the following formula 14. It can be expressed separately as a component showing the influence of

The weight W ₂ (F _{(2, A)} , V _B ) in Equation 14 is actually regarded as the time-dependent change of the strain measurement value due to the vehicle passing the lane 951 as the time-dependent change of the strain measurement value due to the vehicle passing the lane 952. The weight of the vehicle when

In general, the equations shown in Equation 15 and Equation 16 below hold.

Substituting Equation 15 into Equation 13 yields Equation 17 below. Further, when Expression 16 is substituted into Expression 14, the following Expression 18 is obtained.

From Equation 5, Equation 1, and Equation 2 described above, the following Equation 19 is derived. Further, the following Expression 20 is derived from the above Expression 6, Expression 2, and Expression 1.

Substituting Equation 20 into Equation 17 yields Equation 21 below. Further, when Expression 19 is substituted into Expression 18, the following Expression 22 is obtained.

Equation 22 can be transformed into Equation 23 below. Further, Expression 21 can be transformed into the following Expression 24.

Substituting Equation 23 into Equation 21 yields Equation 11 described above. Further, when Expression 24 is substituted into Expression 22, Expression 12 described above is obtained. The above is an explanation of the reason why Expression 11 and Expression 12 hold.

For example, consider a case where Equations 19 and 20 are as simple as Equations 25 and 26 below. However, α is a constant satisfying 0 <α <1, and β is a constant satisfying 0 <β <1.

In this case, Expression 23 and Expression 24 can be expressed by Expression 27 below.

When the weight W ₁ (T _{(1, A)} , V _A ) of the vehicle _A and the weight W ₂ (T _{(2, B)} , V _B ) of the vehicle B are expressed by simple equations as shown in Equation 27, The weight specifying means 144 can directly calculate these weights.

On the other hand, when Expression 19 and Expression 20 indicate a complicated relationship, the weight specifying unit 144 specifies the weights of the vehicle A and the vehicle B by solving Expression 11 and Expression 12 by a numerical analysis procedure, for example. That is, the weight specifying unit 144 substitutes the estimated value of the weight W ₁ (T _{(1, A)} , V _A ) into the equation 11 to determine whether or not the equation holds, and when the equation does not hold Changes the estimated value of the weight W ₁ (T _{(1, A)} , V _A ) according to a predetermined rule, and then substitutes it into Equation 11 to determine whether or not the equation holds. Repeat until the equation holds. The weight specifying unit 144 performs the same processing with respect to Equation 12.

  The weight specifying unit 144 stores weight data indicating the weight of the vehicle A and the weight of the vehicle B specified according to the equations 11 and 12, for example, in the storage unit 141. The weight data stored in the storage unit 141 is displayed on, for example, the display device 104 and notified to the user. Further, the weight data generated by the weight specifying unit 144 may be transmitted to an external device via the communication IF 103 and used in the external device.

  As described above, according to the vehicle weight identification system 1, even when the vehicle passes through each of the plurality of lanes in the strain gauge installation section in the same period, the individual weight of the vehicle that has passed is identified. .

[Modification]
The above-described embodiments can be variously modified within the scope of the technical idea of the present invention. Examples of these modifications are shown below. The following two or more modified examples may be combined.

(1) In the embodiment described above, the structure of the road 9 exemplified as the road on which the traffic load is measured by the vehicle weight identification system 1 is not limited to the structure described above. Further, the installation positions of the strain gauges 11 to 13 are not limited to the positions described above.

(2) In the above-described embodiment, the vehicle weight identification system 1 is used for measuring a traffic load on a road having a vehicle running surface on a bridge. The road on which the vehicle weight identification system 1 is used is not limited to a road with a bridge. For example, a traffic load on a road having a running surface on a viaduct may be measured by the vehicle weight identification system 1.

(3) In the above-described embodiment, the traveling vehicle is an automobile. However, the traveling vehicle is not limited to an automobile, and may be a railway vehicle or the like.

(4) In the above-described embodiment, the relationships represented by Equations 1 to 10 are specified in advance and stored in the storage unit 141 as relationship data, and the relationship data acquisition unit 142 receives the equations 1 to 1 from the storage unit 141. The relational data representing Expression 10 is read out and delivered to the weight specifying unit 144. Instead, the relational data acquisition unit 142 reads out the data stored in the test result table H as relational data and transfers the data to the weight identification unit 144. The weight identification unit 144 identifies and uses the expressions 1 to 10. A configuration may be employed.

(5) In embodiment mentioned above, the relationship between the numerical values represented by Formula 1-Formula 10 may be represented in the format of a correspondence table.

(6) In the description of the above-described embodiment, a method in which the weight specifying unit 144 individually specifies the weights of these vehicles is described by taking as an example the case where the vehicle travels in each of two adjacent lanes in the same period. did. When the vehicle travels in each of three or more lanes in the same period, the formula for calculating the weight of the vehicle individually is specified as in the case where the vehicle travels in each of the two lanes in the same period. Can do. Therefore, the weight specifying unit 144 can individually calculate the weight of the vehicle traveling in the same period in each of the three or more lanes according to the expression specified as described above.

  For example, when one vehicle travels in each of the three lanes of the lane 951, the lane 952, and the lane 953 in the same period, the weight specifying means 144 causes the strain gauges 13-1, 13-2 and 13 Based on the strain measurement value measured in -3, the vehicle speed of each of these vehicles, and Equations 1 to 3 and Equations 5 to 8 described above, the vehicle weight of each of these vehicles is specified.

In the above-described embodiment, it is assumed that the traveling of the vehicle in the non-adjacent lane does not affect the strain measurement value of the strain gauge 13 (or has a negligible influence). This assumption is a convenient assumption, and in the vehicle weight identification system 1, the influence of the traveling of the vehicle in the non-adjacent lane may be considered. In this case, the test result table H (illustrated in FIGS. 7A and 7B) is configured to store, in addition to the distortion integrated value and the distortion index value related to the adjacent lane, the distortion integrated value and the distortion index value related to the non-adjacent lane. The The storage unit 141 also stores relational data indicating the following relational expressions in addition to the above-described Expressions 5 to 10.

  For example, when one vehicle travels in each of the three lanes of the lane 951, the lane 952, and the lane 954 in the same period, the weight specifying means 144 causes the strain gauges 13-1, 13-2 And the strain measurement values measured in 13-4, the vehicle speed of each of these vehicles, the above-described Equation 1, Equation 2, Equation 4, Equation 5, Equation 6, Equation 29, Equation 30, Equation 32, and Equation 33. Based on the above, the weight of each of these vehicles is specified.

  In addition, when the left side of said Formula 28-Formula 33 is 0, it becomes embodiment mentioned above.

(7) In the above-described embodiment, the vehicle weight identification device 14 is realized by a general computer executing processing according to a program. Instead, the vehicle weight identification device 14 may be configured as a so-called dedicated device.

(8) In the above-described embodiment, the program executed by the computer 10 to realize the vehicle weight identification device 14 may be downloaded to the computer 10 via a network such as the Internet or may be continuously stored in a recording medium. May be recorded and distributed to the computer 10 and read by the computer 10 from the recording medium.

  DESCRIPTION OF SYMBOLS 1 ... Vehicle weight specific system, 9 ... Road, 10 ... Computer, 11 ... Strain meter, 12 ... Strain meter, 13 ... Strain meter, 14 ... Vehicle weight specific device, 91 ... Bridge pier, 92 ... Bridge girder, 93 ... Floor slab, 94 ... Pavement, 101 ... Memory, 102 ... Processor, 103 ... Communication IF, 104 ... Display device, 105 ... Operating device, 141 ... Storage means, 142 ... Relational data acquisition unit, 143 ... Measurement data acquisition unit, 144 ... Weight identification Means, 921 ... lower flange, 922 ... web, 923 ... upper flange, 951 ... lane, 952 ... lane, 953 ... lane, 954 ... lane, 1431 ... speed specifying means

Claims (5)

Of the n lanes (n is a natural number satisfying 2 ≦ n) of the traffic road, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) is defined as a traveling lane, When one or more lanes other than the travel lane are non-travel lanes, for each i, the vehicle in the section corresponding to the travel lane when traveling only in the travel lane in a certain section of the traffic path. When the vehicle travels only in the travel lane in a certain section of the traffic path, the first relationship that is the relationship between the distortion of the structure constituting the traffic path, the speed of the vehicle and the weight of the vehicle, The second relation which is the relation between the distortion of the structure at a position corresponding to the travel lane and the distortion of the structure at a position corresponding to the non-travel lane for each of the one or more non-travel lanes is shown. Relationship data or the first relationship And and related data acquisition means for acquiring a relationship data indicating a relationship derived based on the second relationship,
In the certain section of the traffic route, one vehicle in each of m lanes (m is a natural number satisfying 2 ≦ m ≦ n) arbitrarily selected from the n lanes in the same period. Strain data indicating distortion of the structure measured at a position corresponding to each of the m lanes when traveling, and a speed indicating a measured value of the speed of the vehicle that has traveled in each of the m lanes Measurement data acquisition means for acquiring data;
A vehicle weight identification device comprising: weight identification means for identifying the weight of a vehicle that has traveled in each of the m lanes based on the relationship data, the distortion data, and the speed data. The relationship data acquisition means relates to each of the first relationship and the weight of the vehicle and the one or more non-traveling lanes when the vehicle travels only in the traveling lane in a certain section of the traffic road. The relation data indicating a relation with a weight of a vehicle specified according to the first relation regarding the non-traveling lane according to a distortion of the structure at a position corresponding to the non-traveling lane is acquired. Vehicle weight identification device. Of the n lanes (n is a natural number satisfying 2 ≦ n) of the traffic road, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) is defined as a traveling lane, When one or more lanes other than the driving lane are set as non-traveling lanes, the device corresponds to each traveling lane when the vehicle travels only in the traveling lane in a certain section of the traffic path with respect to each i. The vehicle travels only in the travel lane in a certain section of the traffic path, the first relationship that is the relationship between the distortion of the structure constituting the traffic path at the position, the speed of the vehicle, and the weight of the vehicle. A second relationship that is a relationship between the distortion of the structure at a position corresponding to the travel lane and the distortion of the structure at a position corresponding to the non-travel lane for each of the one or more non-travel lanes Or relationship data indicating Acquiring related data indicating a relationship derived based on the first relationship and the second relationship,
In the certain section of the traffic route, one vehicle in each of m lanes (m is a natural number satisfying 2 ≦ m ≦ n) arbitrarily selected from the n lanes in the same period. When the vehicle travels, the apparatus measures strain data indicating the strain of the structure measured at a position corresponding to each of the m lanes, and measures the speed of the vehicle that has traveled in each of the m lanes. Obtaining velocity data indicating values;
A method for identifying a vehicle weight, comprising: a step of identifying a weight of a vehicle that has traveled in each of the m lanes based on the relationship data, the distortion data, and the speed data. On the computer,
Of the n lanes (n is a natural number satisfying 2 ≦ n) of the traffic road, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) is defined as a traveling lane, When one or more lanes other than the travel lane are non-travel lanes, for each i, the vehicle in the section corresponding to the travel lane when traveling only in the travel lane in a certain section of the traffic path. When the vehicle travels only in the travel lane in a certain section of the traffic path, the first relationship that is the relationship between the distortion of the structure constituting the traffic path, the speed of the vehicle and the weight of the vehicle, The second relation which is the relation between the distortion of the structure at a position corresponding to the travel lane and the distortion of the structure at a position corresponding to the non-travel lane for each of the one or more non-travel lanes is shown. Relationship data or the first relationship And a process of acquiring the relationship data indicating a relationship derived based on the second relationship,
In the certain section of the traffic route, one vehicle in each of m lanes (m is a natural number satisfying 2 ≦ m ≦ n) arbitrarily selected from the n lanes in the same period. Strain data indicating distortion of the structure measured at a position corresponding to each of the m lanes when traveling, and a speed indicating a measured value of the speed of the vehicle that has traveled in each of the m lanes Processing to get data and
A program for executing a process of identifying the weight of a vehicle that has traveled in each of the m lanes based on the relation data, the distortion data, and the speed data. On the computer,
Of the n lanes (n is a natural number satisfying 2 ≦ n) of the traffic road, the i-th lane (i is a natural number satisfying 1 ≦ i ≦ n) is defined as a traveling lane, When one or more lanes other than the travel lane are non-travel lanes, for each i, the vehicle in the section corresponding to the travel lane when traveling only in the travel lane in a certain section of the traffic path. When the vehicle travels only in the travel lane in a certain section of the traffic path, the first relationship that is the relationship between the distortion of the structure constituting the traffic path, the speed of the vehicle and the weight of the vehicle, The second relation which is the relation between the distortion of the structure at a position corresponding to the travel lane and the distortion of the structure at a position corresponding to the non-travel lane for each of the one or more non-travel lanes is shown. Relationship data or the first relationship And a process of acquiring the relationship data indicating a relationship derived based on the second relationship,
In the certain section of the traffic route, one vehicle in each of m lanes (m is a natural number satisfying 2 ≦ m ≦ n) arbitrarily selected from the n lanes in the same period. Strain data indicating distortion of the structure measured at a position corresponding to each of the m lanes when traveling, and a speed indicating a measured value of the speed of the vehicle that has traveled in each of the m lanes Processing to get data and
A computer-readable recording medium for continuously recording a program for executing a process for identifying the weight of a vehicle that has traveled in each of the m lanes based on the relation data, the distortion data, and the speed data .

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