Road surface maintenance and management operation support system

Abstract

To provide a road surface maintenance and management operation support system that estimates the occurrence of damage based on changes in the condition of road surfaces, and supports operations for maintenance and management of road surfaces.SOLUTION: A road surface maintenance and management operation support system that supports road surface maintenance and management operations, the road surface maintenance and management operations support system comprising: a measurement processing unit configured to acquire vertical acceleration of a road surface measured by a vehicle traveling on the road surface and store the vertical acceleration in a predetermined memory area in association with information indicating a location; a measurement information processing unit configured to calculate an acceleration effective value for each predetermined interval using the acquired acceleration; and an estimation processing unit configured to calculate a time-series correlation coefficient using the calculated acceleration effective value, and estimate, as a predicted point of damage occurrence, a point at which the time-series correlation coefficient satisfies a predetermined condition.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a pavement maintenance management service support system that estimates the occurrence of damage from changes in the pavement condition of roads and the like, and supports the maintenance management work of pavements such as roads.

Background Art

[0002] Roads and the like must continuously maintain the road surface in a state where driving safety can be ensured. Therefore, road management companies, or countries, local governments, etc. that manage roads are implementing maintenance management work such as inspection and repair of paving and facilities, snow and ice work, and traffic patrols.

[0003] Damage occurring on roads includes various deformations such as cracks, rutting, steps, unevenness, depressions, and potholes. There are damages that require urgent repair work from damages that can be observed over time to damages that require urgent repair work. Among these damages, for example, potholes, which are a local peeling phenomenon of paving, may also cause damage to vehicles and accidents such as falls of motorcycles and bicycles. Therefore, early repair is necessary, and it is effective to predict its occurrence, conduct focused monitoring, and take measures to repair the damage while it is minor.

[0004] Therefore, there are devices that install cameras on vehicles and automatically detect damaged locations from the road surface photographed when the vehicle travels on the road (Patent Documents 1 to 3). There are also devices that detect damaged locations on the road surface from vibrations detected during vehicle travel (Patent Documents 4 to 6).

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

[0006] Damage to the road surface such as potholes is accompanied by slight peeling and separation of the aggregate at the initial stage, but it is quite difficult to predict this event in advance. It is difficult to detect holes on the road surface that are several millimeters to several tens of millimeters in size, and damage may not be recognized as such, such as potholes, until the damage has progressed to a certain size, for example, about 100 mm.

[0007] In addition, the causes of damage such as potholes are diverse. Since the paving structure, traffic volume, environmental conditions, etc. also vary depending on the route, it is also difficult to identify the cause of occurrence.

[0008] If the occurrence of damage such as potholes can be predicted, a vehicle equipped with an accelerometer can drive through the area where the occurrence of damage is predicted and measure, so that repairs can be made before the damage progresses. This can suppress the repair cost.

[0009] Patent Documents 1 to 6 are all devices for detecting that damage such as potholes has occurred on the road surface when the vehicle is running. Therefore, it can be used when detecting that damage has already occurred, but it cannot be used for predicting (estimating) the occurrence of damage such as potholes.

[0010] That is, it can be used for high-frequency monitoring of the area after predicting the occurrence of damage such as potholes, but it cannot be used for predicting the occurrence of damage such as potholes. [Means for Solving the Problems]

[0011] Therefore, in view of the above problems, the present inventors invented a road surface maintenance management business support system that estimates the occurrence of damage from changes in the road surface condition of a road or the like and supports the business of maintaining and managing the road surface of a road or the like.

[0012] A first invention is a road surface maintenance management business support system that supports the business of maintaining and managing a road surface. The road surface maintenance management business support system includes a measurement processing unit that acquires the vertical acceleration of the road surface measured by a vehicle traveling on the road surface and stores it in a predetermined storage area in association with information indicating a position, a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration, and an estimation processing unit that calculates a time-series correlation coefficient using the calculated effective acceleration value and estimates a point where the time-series correlation coefficient satisfies a predetermined condition as a predicted point of the occurrence of damage.

[0013] By configuring as in the present invention, it becomes possible to estimate the occurrence of damage from changes in the road surface condition of a road or the like and support the business of maintaining and managing the road surface of a road or the like.

[0014] In the above invention, the estimation processing unit can be configured as a road surface maintenance management business support system that calculates a time-series correlation coefficient using the calculated effective acceleration value and estimates a point where the increase rate of the time-series correlation coefficient exceeds a predetermined threshold as a predicted point of the occurrence of damage.

[0015] The increase rate of the time-series correlation coefficient compares the current time-series correlation coefficient at a certain position with the past time-series correlation coefficient at the same or almost the same position as that position. When the increase rate of this time-series correlation coefficient becomes large, it means that the effective acceleration value is increasing, that is, the acceleration in the vertical direction with respect to the road surface on which the vehicle is traveling tends to increase, and it can be said that the possibility of damage such as potholes occurring is increasing. Therefore, as in the present invention, a point where the increase rate of the time-series correlation coefficient exceeds a predetermined threshold can be estimated as a predicted point of the occurrence of damage.

[0016] In the above invention, the road surface maintenance management business support system has a road-related information processing unit that acquires road-related information, which is information related to the road surface condition. The estimation processing unit calculates a damage occurrence prediction value using the effective acceleration value, the time-series correlation coefficient, and part or all of the acquired road-related information, and estimates a point where the damage occurrence prediction value satisfies a predetermined condition as a predicted point of damage occurrence, and can be configured as a road surface maintenance management business support system.

[0017] In the above invention, the estimation processing unit can be configured as a road surface maintenance management business support system that calculates the damage occurrence prediction value by using the effective acceleration value, the time-series correlation coefficient, and part or all of the acquired road-related information according to the quantification theory type II.

[0018] To estimate the predicted point of damage occurrence, road-related information or the like may be used. By using road-related information or the like, more accurate estimation can be performed.

[0019] In the above invention, as the road-related information, it can be configured as a road surface maintenance management business support system including any one or more of the surface material of the road, the base material, the implementation section, the longitudinal gradient, the presence or absence of pothole occurrence, the construction method, the construction time, the linearity, the gradient, the climate, the past repair history, the traffic volume, the inspection history, and the number of local damages.

[0020] As the road-related information used to estimate the predicted point of damage occurrence, explanatory variables such as those of the present invention may be used.

[0021] In the above invention, the road surface maintenance management business support system has a display processing unit that displays the predicted point of damage occurrence estimated by the estimation processing unit, and can be configured as a road surface maintenance management business support system that displays the position corresponding to the point where the damage occurrence is predicted on the map information.

[0022] By displaying the predicted location of the occurrence of the estimated damage on the map information as in the present invention, the operator can recognize the predicted location of the occurrence of the damage.

[0023] Even if it is configured like the road surface maintenance management business support system of the first invention, the same effects as those of the road surface maintenance management business support system of the first invention can be obtained. That is, a road surface maintenance management business support system that supports the road surface maintenance management business performed using a vehicle, wherein the vehicle is provided with an acceleration measurement device that measures the acceleration under the spring of the vehicle, a GPS device that measures the latitude and longitude information of the vehicle, and a vehicle speed pulse measurement device that measures the vehicle speed pulse of the vehicle, and the road surface maintenance management business support system acquires the vertical acceleration of the road surface from the acceleration measurement device, the latitude and longitude information of the vehicle from the GPS device, and the travel distance based on the vehicle speed pulse from the vehicle speed pulse measurement device, and stores the acquired acceleration in a predetermined storage area in association with information indicating a position based on the latitude and longitude information and / or the travel distance, a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration, and a calculation using the calculated effective acceleration value An estimation processing unit that calculates a time-series correlation coefficient or a damage occurrence prediction value and estimates a point where the time-series correlation coefficient or the damage occurrence prediction value satisfies a predetermined condition as a predicted location of the occurrence of damage, is a road surface maintenance management business support system.

[0024] The road surface maintenance management business support system of the first invention can be realized by causing a computer to read and execute the program of the present invention. That is, a road surface maintenance management business support program that causes a computer to function as a measurement processing unit that acquires the vertical acceleration of the road surface measured by a vehicle traveling on the road surface and stores it in a predetermined storage area in association with information indicating a position, a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration, and an estimation processing unit that calculates a time-series correlation coefficient using the calculated effective acceleration value and estimates a point where the time-series correlation coefficient satisfies a predetermined condition as a predicted location of the occurrence of damage.

[0025] The road surface maintenance management business support system of the seventh invention can be realized by causing a computer to read and execute the program of the present invention. That is, the computer obtains the vertical acceleration of the road surface from an acceleration measuring device that measures the acceleration under the vehicle's spring, the latitude and longitude information of the vehicle from a GPS device installed in the vehicle, and the travel distance based on the vehicle speed pulse from a vehicle speed pulse measuring device installed in the vehicle, and stores the obtained acceleration in a predetermined storage area in association with information indicating a position based on the latitude and longitude information and / or the travel distance. A measurement processing unit, a measurement information processing unit that calculates an effective value of acceleration at predetermined intervals using the obtained acceleration, a calculation of a time series correlation coefficient or a damage occurrence prediction value using the calculated effective value of acceleration, and estimating a point where the time series correlation coefficient or the damage occurrence prediction value satisfies a predetermined condition as a predicted point of damage occurrence, is a road surface maintenance management business support program that functions as an estimation processing unit.

Effect of the Invention

[0026] By using the road surface maintenance management business support system of the present invention, it becomes possible to estimate the occurrence of damage from changes in the road surface condition of roads and the like, and support the business for maintaining and managing the road surface of roads and the like.

Brief Description of the Drawings

[0027]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Figure 11

Figure 12

Mode for Carrying Out the Invention

[0028] An example of the overall system configuration of the road surface maintenance management business support system 1 of the present invention is shown in FIG. 1, and an example of the hardware configuration of the computer used in the road surface maintenance management business support system 1 is shown in FIG. 2.

[0029] In the road surface maintenance management business support system 1 of the present invention, the control terminal 2 is used. The control terminal 2 in the road surface maintenance management business support system 1 is realized by using a computer. An example of the hardware configuration of the computer is schematically shown in FIG. 2. The computer has an arithmetic device 70 such as a CPU that executes arithmetic processing of programs, a storage device 71 such as a RAM or a hard disk that stores information, a display device 72 such as a display that displays information, an input device 73 such as a keyboard or a mouse through which information can be input, and a communication device 74 that transmits and receives the processing results of the arithmetic device 70 and the information stored in the storage device 71 via a network such as the Internet or a LAN.

[0030] When the computer is equipped with a touch panel display, the display device 72 and the input device 73 may be integrally configured. The touch panel display is often used in portable communication terminals such as tablet computers and smartphones, for example, but is not limited thereto.

[0031] The touch panel display is a device in which the functions of the display device 72 and the input device 73 are integrated in that input can be directly performed on the display by a predetermined input device (such as a pen for a touch panel) or a finger, etc.

[0032] The control terminal 2 may be composed of one or a plurality of computers, and a part of its functions may be in the cloud.

[0033] The road surface maintenance management support system 1 includes a control terminal 2 and a measurement device 3.

[0034] The measurement device 3 measures a predetermined value by various devices installed in the vehicle. As an example of the measurement device 3, there are an acceleration measurement device 30, a GPS device 31, a vehicle speed pulse measurement device 32, and a timekeeping device 33.

[0035] The acceleration measurement device 30 is installed on one or two or more of the axles of the vehicle and measures at least the acceleration (sprung acceleration) in the direction perpendicular to the road surface (z-axis direction). As the acceleration measurement device 30, an acceleration sensor can be used, but other types of sensors may be used as long as the acceleration in the direction perpendicular to the road surface can be measured by performing calculations, etc.

[0036] The GPS device 31 is installed at a predetermined location of the vehicle and measures at least the latitude and longitude information.

[0037] The vehicle speed pulse measurement device 32 is installed at a predetermined location of the vehicle and measures the vehicle speed pulse.

[0038] The timekeeping device 33 keeps time of the date, time, hour, etc. (hereinafter, these are collectively referred to as "date and time information").

[0039] In the measuring device 3, the acceleration measuring device 30, the GPS device 31, and the vehicle speed pulse measuring device 32 acquire respective measured values at arbitrary intervals, for example, at intervals of 10 cm. The acceleration measured by the acceleration measuring device 30, the latitude and longitude information measured by the GPS device 31, and the position information calculated from the travel distance based on the vehicle speed pulse measured by the vehicle speed pulse measuring device 32 are associated with the time measured by the timing device 33. The acceleration measuring device 30 in the measuring device 3 only needs to be able to measure acceleration at 800 Hz or higher, but any frequency is acceptable as long as it can be measured at the distance interval at which the measuring device 3 measures the measured value.

[0040] The control terminal 2 includes a measurement processing unit 20, a measurement information storage unit 21, a measurement information processing unit 22, a road surface state information storage unit 23, an estimation processing unit 24, and a display processing unit 25.

[0041] The measurement processing unit 20 acquires each measured value measured by the measuring device 3 and the corresponding date and time information, and stores them in the measurement information storage unit 21 described later.

[0042] The measurement information storage unit 21 stores, in association with the date and time information, the acceleration measured by the acceleration measuring device 30, the latitude and longitude information measured by the GPS device 31, and the travel distance based on the vehicle speed pulse measured by the vehicle speed pulse measuring device 32, which are acquired by the measurement processing unit 20. Note that the measurement information storage unit 21 may store all of the information, or may delete a part of it in order to reduce the amount of information.

[0043] The measurement information processing unit 22 calculates the effective acceleration value (RMS) every specified distance L meters using the acceleration measurement value stored in the measurement information storage unit 21, and outputs it in association with the position information.

[0044] The measurement information processing unit 22 calculates the effective acceleration value by the following process.

[0045] At each moment or per unit time, the latitude and longitude information acquired from the GPS device 31 and the vehicle speed using the vehicle speed pulse acquired from the vehicle speed pulse measuring device 32 that have the same value are grouped together, and the number of acceleration data per second is calculated. Then, the distance is calculated from the acceleration data.

[0046] And the distance that the acceleration advances per one is 1 / the number of accelerations and can be calculated by vehicle speed V (km / h) ÷ 3.6 for calculation.

[0047] Distance S (m) = vehicle speed V (km / h) ÷ 3.6 ÷ f (the number of accelerations per second) is calculated to obtain the distance S in meters.

[0048] When the distance S in meters calculated above reaches a predetermined distance L in meters, the effective acceleration value (RMS) can be calculated by the following formula (1). This distance L in meters can be any distance, for example, 100 meters, 10 meters, 1 meter, 0.1 meter, etc. (Formula 1) TIFF2025110265000002.tif1743n: The number of effective acceleration values (RMS) calculated up to a predetermined distance.

[0049] As described above, the measurement information processing unit 22 causes the road surface state information storage unit 23 to store the effective acceleration value calculated for each specified distance L in meters.

[0050] The road surface state information storage unit 23 stores the effective acceleration value (RMS) for each distance L in meters calculated by the measurement information processing unit 22. In the road surface state information storage unit 23, it is stored in association with the position information such as the latitude and longitude information and the travel distance measured by the GPS device 31. Also, at this time, it may be stored in association with the time information. The travel distance is the distance from a predetermined reference point, and may be a position indicating the distance from the starting point of the road, such as a so-called kilometer post.

[0051] The estimation processing unit 24 calculates the time-series correlation coefficient (deterioration coefficient) r of the effective acceleration value (RMS) at a specific point in time series using the effective acceleration value calculated by the measurement information processing unit 22. Then, it estimates, as a predicted point where damage such as a pothole occurs, a position where an operation value using the calculated deterioration coefficient r, for example, an increase rate satisfies a predetermined condition with respect to a threshold value. For example, a point where the increase rate of the deterioration coefficient r exceeds a predetermined threshold value is estimated as a predicted point of damage occurrence.

[0052] To calculate the deterioration coefficient, the following Equation 2 can be used, but it is not limited to this equation. (Equation 2) TIFF2025110265000003.tif23118day: Number of days elapsed since the start of measurement. n: Number of measurements. The number of measurements from the first measurement on the measurement start date to the measurement end date, with the first measurement on the measurement start date being counted as the first measurement. The numerator of Equation 2 is the formula for the covariance of the effective acceleration value (RMS) and day. The denominator of Equation 2 is the standard deviation of the effective acceleration value (RMS) × the standard deviation of the number of days elapsed.

[0053] When the operation value using the deterioration coefficient satisfies a predetermined condition in the estimation processing unit 24, the display processing unit 25 displays a predetermined message indicating that there is a point where damage occurrence is predicted on the display device 72 of the control terminal 2 or the like. For example, a point where the operation value using the deterioration coefficient satisfies a predetermined condition with respect to a threshold value is set as a point where damage is predicted, and its position information such as latitude and longitude information and kilometer post is displayed on the display device 72 of the control terminal 2. At this time, the predicted point may be plotted and displayed on the map information. An example of the display by the display processing unit 25 is shown in FIG. 4.

Example

[0054] Next, an example of the processing of the road surface maintenance management operation support system 1 of the present invention will be described using the flowchart of FIG. 3.

[0055] A vehicle equipped with the measurement device 3 of the present invention travels on a road to be maintained and managed. At this time, the acceleration measurement device 30 in the measurement device 3 measures acceleration, the GPS device 31 measures latitude and longitude information, and the vehicle speed pulse measurement device 32 measures the travel distance based on the vehicle speed pulse (S100).

[0056] The measurement processing unit 20 acquires acceleration from the acceleration measurement device 30, latitude and longitude information from the GPS device 31, and the travel distance from the vehicle speed pulse measurement device 32, and stores them in the measurement information storage unit 21 in association with the position information and the date and time information (S110).

[0057] The measurement information processing unit 22 calculates the effective acceleration value (RMS) for every specified distance L meters using the acceleration acquired by the measurement processing unit 20 (S120), and stores the calculated effective acceleration value in the road surface condition information storage unit 23 in association with the latitude and longitude information and / or position information such as kilometer posts and the date and time information.

[0058] Since the vehicle travels on the road to be maintained and managed at a predetermined timing, for example, every day, every week, every month, etc., the effective acceleration value over time is stored for each latitude and longitude information and position information.

[0059] Then, the estimation processing unit 24 calculates a deterioration coefficient based on the effective acceleration value at a specific point in the time series using the effective acceleration value calculated by the measurement information processing unit 22. Then, a point where the increase rate of the calculated deterioration coefficient exceeds a predetermined threshold is estimated as a predicted point where damage will occur (S130). The increase rate of the deterioration coefficient compares the current deterioration coefficient at a certain position with the past deterioration coefficient at the same or almost the same position. When the increase rate of this deterioration coefficient becomes large, it means that the effective acceleration value has become large, that is, the acceleration in the direction perpendicular to the road surface on which the vehicle travels has increased. In other words, it can be said that the possibility of damage such as potholes occurring is high. Therefore, a point where the increase rate of the deterioration coefficient exceeds a predetermined threshold can be estimated as a predicted point of damage occurrence.

[0060] If there is a location estimated by the estimation processing unit 24 as the occurrence location of damage, the display processing unit 25 causes the display device 72 of the control terminal 2 to display the location as the location where damage is predicted, along with its latitude and longitude information, position information such as kilometer posts, etc.

[0061] Through the above processing, it is possible to estimate and display the predicted occurrence location of damage such as potholes.

Example

[0062] In the configuration of the information processing system of the first embodiment, in addition to the effective acceleration value (RMS), damage such as potholes may be estimated using information related to the road surface condition (road-related information). Examples of road-related information include various types of information such as complaints about the road surface, repair records, traffic volume, pavement composition, construction section, road gradient, passing vehicles, structural specifications, etc. As road-related information, one or more of these pieces of information may be sufficient, and information other than those described above may also be included.

[0063] An example of the overall configuration of the information processing system in this embodiment is shown in FIG. 5, and a flowchart of an example of the processing is shown in FIG. 6.

[0064] The control terminal 2 in the road maintenance management service support system 1 is further capable of transmitting and receiving information with the road-related information system 4.

[0065] The road-related information system 4 is a computer system that stores road-related information related to the road surface condition. For example, it stores some or all of various types of information such as complaints about the road surface, repair records, traffic volume, pavement composition, construction method, construction time, whether it is straight or curved, road gradient, passing vehicles, structural specifications, etc. The road-related information is stored in association with position information and / or time information.

[0066] The road-related information system 4 may be owned by the road management entity such as the road management company, the state, or the local government, or may be owned by any entity.

[0067] The control terminal 2 further includes a road-related information processing unit 26 and a road-related information storage unit 27.

[0068] The road-related information processing unit 26 acquires road-related information used in the estimation processing of the estimation processing unit 24 from the road-related information system 4 and stores it in the road-related information storage unit 27. The road-related information processing unit 26 stores the road-related information acquired from the road-related information system 4 in the road-related information storage unit 27 in association with the position information and the time information.

[0069] There are various methods for associating road-related information with position information and time information and storing it in the road-related information storage unit 27. For example, in the section where the acceleration is measured, the start section and the end section are divided into equal sections (unit lengths), and the road-related information is aggregated for each divided section, and operations such as averaging are performed and stored.

[0070] The road-related information storage unit 27 stores road-related information. An example of the road-related information stored in the road-related information storage unit 27 is shown in FIG. 7. In FIG. 7, as road-related information, the surface material (pavement material of the road surface), the base material (material of the layer below the road surface), whether the repaired layer is up to one layer or up to two layers, and the absolute value of the gradient (gradient of the road) value are associated and stored for each section with 100 meters as the unit length.

[0071] Similar to Example 1, the measurement information processing unit 22 calculates the effective acceleration value (RMS) for each specified distance L (for example, L meters) using the acceleration measurement values stored in the measurement information storage unit 21 and outputs it in association with the position information. The specified distance L is preferably the unit length of the road-related information.

[0072] Similar to Example 1, the estimation processing unit 24 uses the time-series correlation coefficient (deterioration coefficient) r of the effective acceleration value in the time series of a specific point calculated using the effective acceleration value (RMS) calculated by the measurement information processing unit 22 and the road-related information to obtain the damage occurrence prediction value P uiCalculate it, and estimate the position where the predicted damage occurrence value satisfies a predetermined condition as a predicted point of damage occurrence such as a pothole. For example, estimate the point where the predicted damage occurrence value exceeds a predetermined threshold value as the predicted point of damage occurrence.

[0073] The estimation processing unit 24 uses the effective acceleration value (RMS), the deterioration coefficient r, and part or all of the road-related information, and calculates a predicted damage occurrence value P by an arithmetic expression based on a predetermined analysis method. ui As the analysis method, for example, the quantification theory type II can be used. For example, an example of the model formula of the quantification theory type II is shown in Equation 3. The processing of the model formula of the quantification theory type II is shown in FIG. 8. An example of the category score used in the model formula of the quantification theory type II is shown in FIG. 9. (Equation 3) TIFF2025110265000004.tif20168a11~a14, b21~b24, c31~c34, d41~d45, e51~e52, f61~f63: Category score (FIG. 9) a0: Constant term x11~x63: Quantitative data (FIG. 8)

[0074] In FIG. 9, the category scores of the categories corresponding to each item of the effective acceleration value (RMS), the time series correlation coefficient, the surface layer material, the base layer material, the single layer and double layer, and the longitudinal gradient indicate the degree of influence on the occurrence of damage such as potholes (whether damage such as potholes is likely to occur or not likely to occur). Note that the items, categories, and category scores are examples, and others may also be possible.

[0075] For example, the item "a11" in the effective acceleration value (RMS) corresponds to the category "260-265", and the corresponding category score is "-0.36985", indicating that damage such as potholes is not likely to occur. Also, the item "a14" corresponds to the category "280-300", and the corresponding category score is "2.74258", indicating that damage such as potholes is likely to occur.

[0076] For example, the item "b21" in the time-series correlation coefficient corresponds to the category "r ≤ 0", and the corresponding category score is "-0.29514", indicating that damage such as potholes is less likely to occur. Also, the item "b24" corresponds to the category "r > 0.4", and the corresponding category score is "0.23166", indicating that damage such as potholes is likely to occur.

[0077] For example, the item "c31" in the surface material corresponds to the category "Type A_B", and the corresponding category score is "0.30575", indicating that damage such as potholes is likely to occur. Also, the item "c33" corresponds to the category "High-performance Type II (modified)", and the category score is "-0.33087", indicating that damage such as potholes is less likely to occur.

[0078] For example, the item "d41" in the base material corresponds to the category "Normal_StoreS", and the corresponding category score is "0.15759", indicating that damage such as potholes is likely to occur. Also, the item "d42" corresponds to the category "Modified As", and the corresponding category score is "-0.13303", indicating that damage such as potholes is less likely to occur.

[0079] For example, the item "e51" in the first and second layers corresponds to the category "Layer 1", and the corresponding category score is "0.15759", indicating that damage such as potholes is likely to occur. Also, the item "e52" corresponds to the category "Layer 2", and the corresponding category score is "-0.13303", indicating that damage such as potholes is less likely to occur.

[0080] For example, item "f61" in the longitudinal gradient corresponds to category "i ≤ 0.35", and the corresponding category score is "0.18264", indicating that damage such as potholes is likely to occur. Also, item "f62" corresponds to category "0.35 < i ≤ 0.8", and the corresponding category score is "-0.21649", indicating that damage such as potholes is unlikely to occur.

[0081] In the model formula of the quantification theory type II of Equation 3, the effective value of acceleration (RMS), the deterioration coefficient r, and the surface base material, construction section, and longitudinal gradient are used as road-related information. However, as other explanatory variables, the presence or absence of damage such as potholes, construction methods, construction times, linearity (straight or curved), gradients, climates, past repair histories, traffic volumes, inspection histories (the number of occurrences of damage such as potholes that occurred before the measurement start date), and local damage (the number of steps, depressions, ruts, cracks, peeling, longitudinal unevenness, pumping, etc.) also exist, and other information may be used as explanatory variables.

[0082] The estimation processing unit 24 estimates the point where the calculated damage occurrence prediction value P ui exceeds a predetermined threshold as the damage occurrence point.

[0083] Next, an example of the processing of the road surface maintenance management service support system 1 of this embodiment will be described using the flowchart of FIG. 6.

[0084] The processing from S200 to S220 is the same as the processing from S100 to S120 of the first embodiment, so the description will be omitted.

[0085] The road-related information processing unit 26 acquires road-related information from the road-related information system 4 (S230). Then, the road-related information processing unit 26 associates the acquired road-related information with the position information and time information and stores it in the road-related information storage unit 27.

[0086] Note that the road-related information processing unit 26 may obtain road-related information from the road-related information system 4 not every time but at appropriate timings, for example, every one week, every one month, or at the timing of performing estimation processing.

[0087] Then, the estimation processing unit 24 calculates a deterioration coefficient of the effective acceleration value in the time series at a specific point using the effective acceleration value calculated by the measurement information processing unit 22. Further, the estimation processing unit 24 calculates a damage occurrence prediction value P ui using the effective acceleration value, the deterioration coefficient, and the road-related information.

[0088] Then, a point where the calculated damage occurrence prediction value P ui exceeds a predetermined threshold value is estimated as a damage occurrence point (S240).

[0089] If there is a location estimated by the estimation processing unit 24 as a damage occurrence point, the display processing unit 25 causes the display device 72 of the control terminal 2 to display the location as a point where damage is predicted, along with position information such as its latitude and longitude information and kilometer post.

[0090] Through the above processing, it is possible to estimate and display a predicted damage occurrence point such as a pothole.

Example

[0091] In the information processing systems of Example 1 and Example 2, an imaging device may be further provided on the vehicle so that the image information captured by the operating device can be displayed. An example of the overall configuration of the information processing system in this example is shown in FIG. 10. The information processing system in FIG. 10 shows a case where an imaging device and the like are provided in the configuration of the information processing system in Example 2 (FIG. 5), but an imaging device and the like may be provided in the configuration of the information processing system in Example 1 (FIG. 1).

[0092] The imaging device 5 is installed in a vehicle equipped with the measurement device 3 and captures an image of the road surface in an arbitrary direction. For example, when the imaging device 5 is installed in front of the vehicle, it captures an image of the road surface in the forward direction (travel direction) of the vehicle. When the imaging device 5 is installed behind the vehicle, it captures an image of the road surface in the rearward direction (opposite to the travel direction) of the vehicle. When the imaging device 5 is installed below the vehicle, it captures an image of the road surface under the vehicle.

[0093] In addition to the configuration of the first or second embodiment, the control terminal 2 includes an imaging processing unit 28 and an image information storage unit 29.

[0094] The imaging processing unit 28 receives the image information captured by the imaging device 5. The received image information is stored in association with, for example, the latitude and longitude information measured by the GPS device 31 and the position information calculated from the travel distance based on the vehicle speed pulse measured by the vehicle speed pulse measurement device 32. It is also associated with the time measured by the timing device 33.

[0095] The image information storage unit 29 stores the image information captured by the imaging device 5 and received by the imaging processing unit 28 in association with the position information, time, etc.

[0096] The display processing unit 25 extracts, based on the position information, the image information corresponding to the predicted damage occurrence location such as a pothole estimated by the estimation processing unit 24 from the image information storage unit 29 and causes the display device 72 to display it. An example of the screen for display by the display device 72 in this case is shown in FIG. 11.

[0097] As a result, it is possible to visually recognize the image information of the road surface at the predicted damage occurrence location estimated by the estimation processing unit 24.

[0098] In addition, in the first to third embodiments, the display processing unit 25 may specify the latitude and longitude information by the operator designating a position on the map and display the predicted damage occurrence information and image information at the specified location. Also, by designating a position on the road route map, the kilometer post (position information) on the route at the designated position may be specified, and the predicted damage occurrence information and image information at the specified position may be displayed.

[0099] Furthermore, the display processing unit 25 may graphically display the predicted damage occurrence points, numbers, etc. according to the kilometer posts (position information) for each route. An example of the screen for this display is shown in FIG. 12.

Industrial Applicability

[0100] By using the road surface maintenance management service support system 1 of the present invention, it is possible to estimate the occurrence of damage from changes in the road surface conditions of roads and the like, and to support the work for maintaining the road surface of roads and the like.

Explanation of Signs

[0101] 1: Road surface maintenance management service support system 2: Control terminal 3: Measuring device 4: Road-related information system 5: Photographing device 20: Measurement processing unit 21: Measurement information storage unit 22: Measurement information processing unit 23: Road surface condition information storage unit 24: Estimation processing unit 25: Display processing unit 26: Road-related information processing unit 27: Road-related information storage unit 28: Photographing processing unit 29: Image information storage unit 30: Acceleration measuring device 31: GPS device 32: Vehicle speed pulse measuring device 33: Timing device 70: Arithmetic device 71: Storage device 72: Display device 73: Input device 74: Communication device

Claims

1. A road maintenance management service support system for supporting road maintenance management services, wherein the road maintenance management service support system, a measurement processing unit that acquires the vertical acceleration of the road surface measured by a vehicle traveling on the road surface and stores it in a predetermined storage area in association with information indicating a position; a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration; an estimation processing unit that calculates a time-series correlation coefficient using the calculated effective acceleration value, and estimates a point where the time-series correlation coefficient satisfies a predetermined condition as a predicted point of damage occurrence; A road maintenance management service support system characterized by comprising the above.

2. The estimation processing unit, calculates a time-series correlation coefficient using the calculated effective acceleration value, and estimates a point where the increase rate of the time-series correlation coefficient exceeds a predetermined threshold as a predicted point of damage occurrence. The road maintenance management service support system according to claim 1, characterized by the above.

3. The road maintenance management service support system, has a road-related information processing unit that acquires road-related information, which is information related to the road surface condition, and the estimation processing unit, calculates a damage occurrence prediction value using the effective acceleration value, the time-series correlation coefficient, and part or all of the acquired road-related information, and estimates a point where the damage occurrence prediction value satisfies a predetermined condition as a predicted point of damage occurrence. The road maintenance management service support system according to claim 1, characterized by the above.

4. The estimation processing unit, calculates the damage occurrence prediction value by using the effective acceleration value, the time-series correlation coefficient, and part or all of the acquired road-related information according to the quantification theory type II. The road maintenance management service support system according to claim 3, characterized by the above.

5. As the road-related information, it includes any one or more of the surface material of the road, the base material, the construction section, the longitudinal gradient, the presence or absence of potholes, the construction method, the construction time, the linearity, the gradient, the climate, the past repair history, the traffic volume, the inspection history, and the number of local damages. The road maintenance management service support system according to claim 3 or claim 4, characterized by the above.

6. The road maintenance management service support system, has a display processing unit that displays the predicted point of damage occurrence estimated by the estimation processing unit, and displays the position corresponding to the point where the damage occurrence is predicted on the map information. The road maintenance management service support system according to claim 1 or claim 3, characterized by the above.

7. A road surface maintenance management service support system for supporting road surface maintenance management services performed using a vehicle, wherein the vehicle is equipped with, an acceleration measurement device for measuring the acceleration under the vehicle's springs, a GPS device for measuring the latitude and longitude information of the vehicle, and a vehicle speed pulse measurement device for measuring the vehicle speed pulse of the vehicle, the road surface maintenance management service support system, acquires the vertical acceleration of the road surface from the acceleration measurement device, the latitude and longitude information of the vehicle from the GPS device, and the travel distance based on the vehicle speed pulse of the vehicle from the vehicle speed pulse measurement device, and stores the acquired acceleration in a predetermined storage area in association with information indicating a position based on the latitude and longitude information and / or the travel distance, a measurement processing unit; a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration; an estimation processing unit that calculates a time-series correlation coefficient or a damage occurrence prediction value using the calculated effective acceleration value, and estimates a point where the time-series correlation coefficient or the damage occurrence prediction value satisfies a predetermined condition as a predicted point of damage occurrence; A road surface maintenance management service support system characterized by comprising.

8. A computer, a measurement processing unit that acquires the vertical acceleration of the road surface measured by a vehicle traveling on the road surface and stores it in a predetermined storage area in association with information indicating a position; a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration; an estimation processing unit that calculates a time-series correlation coefficient using the calculated effective acceleration value and estimates a point where the time-series correlation coefficient satisfies a predetermined condition as a predicted point of damage occurrence; A road surface maintenance management service support program characterized by causing the computer to function as such.

9. A computer, acquires the vertical acceleration of the road surface from an acceleration measurement device that measures the acceleration under the vehicle's springs, the latitude and longitude information of the vehicle from a GPS device installed in the vehicle, and the travel distance based on the vehicle speed pulse of the vehicle from a vehicle speed pulse measurement device installed in the vehicle, and stores the acquired acceleration in a predetermined storage area in association with information indicating a position based on the latitude and longitude information and / or the travel distance, a measurement processing unit; a measurement information processing unit that calculates an effective acceleration value at predetermined intervals using the acquired acceleration; An estimation processing unit that calculates a time-series correlation coefficient or a damage occurrence prediction value using the calculated effective acceleration value, and estimates a point where the time-series correlation coefficient or the damage occurrence prediction value satisfies a predetermined condition as a predicted point of damage occurrence; A road surface maintenance management business support program characterized by functioning as such.

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