Monitoring device of road facility, and monitoring method of road facility

Abstract

To provide a monitoring device of a road facility that is capable of detecting a failure regarding a vehicle-traveling environment generated due to a gradual change for a long period of time, in regard to the road facility.SOLUTION: A monitoring device 20 of a road facility comprises a normal time data storage unit 211, a running state data calculation unit 221, and a determination unit 223. The normal time data storage unit 211 stores running state data about a running operation of a vehicle running inside a road facility X during a first period in which a vehicle running environment in the road facility X as a monitoring object is in a normal state, as normal time data. The running state data calculation unit 221 calculates the running state data about the running operation of the vehicle running inside the road facility X during a second period in which a vehicle running environment in the road facility X that is a monitoring object, as monitoring time data. The determination unit 223 determines that a failure occurs in the vehicle running environment of the road facility X, when a difference value between the normal time data and the monitoring time data is a predetermined threshold value or greater.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a monitoring device and a monitoring method for road facilities. [Background technology]

[0002] Road facilities such as bridges need to be monitored for defects in the vehicle driving environment in order to keep vehicles in a safe state. Technology for monitoring defects in road facilities is, for example, that described in Patent Document 1. By using the technology described in Patent Document 1, for example, by comparing traffic volumes at multiple points on a monitored road, it is possible to detect abnormalities such as accidents that occur on the road. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 10-320686 Summary of the Invention [Problem to be solved by the invention]

[0004] However, while the technology described in Patent Document 1 above can detect malfunctions caused by immediate abnormalities such as accidents, it has the problem that it cannot detect malfunctions that occur due to gradual changes over a long period of time, such as increased vibrations in equipment due to aging or increased rutting.

[0005] The present disclosure has been made in consideration of the above-mentioned circumstances, and aims to provide a road facility monitoring device and a road facility monitoring method capable of detecting defects in the vehicle driving environment that occur due to gradual changes over a long period of time in relation to road facilities. [Means for solving the problem]

[0006] The road facility monitoring device of the present disclosure comprises a normal state data storage unit that stores driving state data regarding the driving operation of vehicles traveling within the road facility during a first period in which the vehicle driving environment of the monitored road facility is in a normal state as normal state data, a driving state data acquisition unit that acquires driving state data regarding the driving operation of vehicles traveling within the road facility during a second period that is the subject of monitoring as monitoring time data, and a determination unit that determines that a malfunction has occurred in the vehicle driving environment of the road facility when a difference value between the normal state data stored in the normal state data storage unit and the monitoring time data acquired by the driving state data acquisition unit is equal to or greater than a predetermined threshold value.

[0007] The normal state data may be a value based on travel state data of a plurality of vehicles traveling within the road facility, the data being acquired within the first period.

[0008] The monitoring time data may be a value based on travel state data of a plurality of vehicles traveling within the road facility, the data being acquired within the second period.

[0009] In addition, the normal data and the monitoring data may be values ​​based on the standard deviation of the vertical movement amount of a vehicle traveling within the road facility, or values ​​based on the apparent height from the road surface at a point within the road facility where vehicles travel infrequently to the top of the traveling vehicle.

[0010] The normal state data and the monitoring state data may be acquired for each type of vehicle traveling within the road facility.

[0011] In addition, the normal state data and the monitoring state data are heights from the road surface at a point within the road facility where vehicles rarely travel within the road facility to the top end of the traveling vehicle, and the driving condition data calculation unit may calculate the normal state data using driving condition data of a plurality of vehicles traveling within the road facility acquired within the first period, the difference of which from pre-stored vehicle height information for each vehicle type is within a predetermined value.

[0012] The determination unit may determine that a problem has occurred in the vehicle driving environment of the road facility when a predetermined rate or more of vehicle types have the difference value equal to or greater than a predetermined threshold value.

[0013] In addition, in the road facility monitoring method of the present disclosure, the road facility monitoring device stores driving condition data regarding the driving operation of vehicles traveling within the road facility during a first period in which the vehicle driving environment of the monitored road facility is in a normal state as normal data, acquires driving condition data regarding the driving operation of vehicles traveling within the road facility during a second period that is the subject of monitoring as monitoring time data, and determines that a malfunction has occurred in the vehicle driving environment of the road facility when the difference value between the normal time data and the monitoring time data is greater than or equal to a predetermined threshold value. Effect of the Invention

[0014] According to the road facility monitoring device and road facility monitoring method disclosed herein, it is possible to detect defects in the vehicle driving environment that occur due to gradual changes over a long period of time in relation to road facilities. [Brief description of the drawings]

[0015] [Figure 1] 1 is an overall view showing the configuration of a monitoring system using a road facility monitoring device according to an embodiment; [Diagram 2] 10 is a flowchart showing a flow of a normal state data setting process performed by the road facility monitoring device according to one embodiment. [Diagram 3] 4 is a flowchart showing a flow of facility monitoring processing by the road facility monitoring device according to one embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, a road facility monitoring device that monitors the presence or absence of defects related to the vehicle driving environment for monitored road facilities will be described with reference to the drawings.

[0017] Configuration of a monitoring system using a road facility monitoring device according to an embodiment FIG. 1 is a block diagram showing the configuration of a monitoring system 1 using a road facility monitoring device 20 (hereinafter simply referred to as "monitoring device 20") according to this embodiment.

[0018] The monitoring system 1 includes a vehicle position measuring device 10 and a monitoring device 20. The vehicle position measuring device 10 is configured, for example, by a LiDAR, and measures the position of each vehicle traveling in a predetermined traveling area AR within a road facility X to be monitored at a predetermined time interval.

[0019] The monitoring device 20 has a storage unit 21, a CPU 22, and an output unit 23. The storage unit 21 has a normal state data storage unit 211 and a threshold value storage unit 212. The normal state data storage unit 211 stores, as normal state data, running state data related to the running behavior of a vehicle running on the road facility X during a first period in which the vehicle running environment of the monitored road facility X is in a normal state, which is calculated by the CPU 22 as described below.

[0020] The threshold storage unit 212 stores a threshold value of the driving condition data for determining whether or not the driving condition data of the vehicle traveling in the driving area AR is normal during a second period to be monitored.

[0021] The CPU 22 (an example of a control unit or a processing unit) is a general-purpose computer equipped with an arithmetic unit, a memory, and an input / output unit. A computer program (monitoring program) for causing the CPU 22 to function as a part of the monitoring device is installed in the CPU 22. By executing the computer program, the CPU 22 functions as a plurality of information processing circuits (221, 222, 223) equipped in the monitoring device.

[0022] Alternatively, the monitoring program may be stored in a computer-readable recording medium such as a HDD, SSD, USB memory, CD, or DVD. The computer-readable recording medium may be, for example, a non-transitory recording medium. The monitoring program may also be distributed via a communication network.

[0023] In the following, an example is shown in which the multiple information processing circuits (221, 222, 223) of the monitoring device are realized by software. However, it is also possible to configure the information processing circuits (221, 222, 223) by preparing dedicated hardware for executing each information process shown below. Also, the multiple information processing circuits (221, 222, 223) may be configured by individual hardware.

[0024] The CPU 22 has a running condition data calculation unit 221 as a running condition data acquisition unit, a comparison unit 222, and a determination unit 223.

[0025] The driving state data calculation unit 221 acquires position information for each vehicle measured by the vehicle position measuring device 10 during a first period, and calculates driving state data related to the driving operation of each vehicle based on the acquired information. The driving state data calculation unit 221 calculates an average value of the driving state data of the multiple vehicles during the first period as normal state data, and stores the calculated data in the normal state data storage unit 211. By using the average value of the driving state data of the multiple vehicles as normal state data, it is possible to calculate highly accurate normal state data.

[0026] Furthermore, the driving state data calculation unit 221 acquires position information for each vehicle measured by the vehicle position measuring device 10 during the second period to be monitored, and calculates driving state data relating to the driving operation of each vehicle based on the acquired information. The driving state data calculation unit 221 calculates an average value of the driving state data of the multiple vehicles during the second period as monitoring time data. By using the average value of the driving state data of the multiple vehicles as monitoring time data, it is possible to calculate highly accurate monitoring time data.

[0027] The comparison unit 222 compares the normal state data stored in the normal state data storage unit 211 with the monitoring state data acquired by the traveling state data calculation unit 221, and calculates a difference therebetween.

[0028] When the difference value calculated by the comparison unit 222 is equal to or greater than the threshold value stored in the threshold value storage unit 212, the determination unit 223 determines that a problem has occurred in the vehicle travel environment of the road facility X that is the monitoring target.

[0029] Operation of the monitoring system according to one embodiment 2 is a flowchart showing the flow of normal state data setting processing executed as pre-processing of facility monitoring processing by the monitoring device 20 in the monitoring system 1 according to this embodiment. The normal state data setting processing is executed during a predetermined first period during which the vehicle driving environment of the monitored road facility X is in a normal state, for example, during one week immediately after the monitored road facility X is installed.

[0030] When the first period starts ("YES" in S1), the monitoring device 20 requests the vehicle position measurement device 10 to perform a process of measuring the position of a vehicle traveling in a predetermined traveling area AR.

[0031] In response to a request from the monitoring device 20, each time the vehicle position measuring device 10 detects a vehicle traveling within the traveling area AR during a first period, it measures the position of the vehicle at a predetermined time interval and transmits the measured vehicle position information to the monitoring device 20. This predetermined time interval is, for example, about several milliseconds to several seconds.

[0032] In the monitoring device 20, when predetermined vehicle position information is transmitted from the vehicle position measuring device 10, the driving state data calculation unit 221 acquires this vehicle position information ("YES" in S2). The driving state data calculation unit 221 calculates driving state data related to the driving operation of each vehicle based on the acquired information (S3). Until the end of the first period ("NO" in S4), the driving state data calculation unit 221 calculates driving state data each time it acquires predetermined vehicle position information from the vehicle position measuring device 10 ("YES" in S2 → S3).

[0033] When the first period ends ("YES" in S4), the driving condition data calculation unit 221 calculates the average value of the driving condition data of multiple vehicles that traveled through the driving area AR during the first period as normal state data, and stores it in the normal state data storage unit 211 (S5).

[0034] 3 is a flowchart showing the flow of facility monitoring processing executed by the monitoring device 20. The facility monitoring processing is executed in a second period that occurs at predetermined intervals, for example, one week that occurs every six months, after the road facility X to be monitored is installed.

[0035] When the second period starts ("YES" in S11), the monitoring device 20 requests the vehicle position measurement device 10 to perform a process of measuring the position of a vehicle traveling in the traveling area AR.

[0036] In response to a request from the monitoring device 20, the vehicle position measuring device 10 measures the position of each vehicle traveling in the traveling area AR at predetermined time intervals, as in the case of the normal data setting process, and transmits the measured position information of each vehicle to the monitoring device 20.

[0037] In the monitoring device 20, the driving state data calculation unit 221 acquires the position information for each vehicle transmitted from the vehicle position measuring device 10 ("YES" in S12). The driving state data calculation unit 221 calculates driving state data related to the driving operation of each vehicle based on the acquired information (S13). Until the second period ends ("NO" in S14), the driving state data calculation unit 221 calculates driving state data each time it acquires position information of a specific vehicle from the vehicle position measuring device 10 ("YES" in S12 -> S13).

[0038] When the second period ends ("YES" in S14), the driving condition data calculation unit 221 calculates an average value of the driving condition data of the multiple vehicles during the second period as monitoring time data (S15).

[0039] Next, the comparison unit 222 compares the normal state data stored in the normal state data storage unit 211 with the monitoring time data calculated by the traveling state data calculation unit 221, and calculates a difference therebetween (S16).

[0040] When the determination unit 223 determines that the difference value calculated by the comparison unit 222 is less than the threshold value stored in the threshold value storage unit 212 ("NO" in S17), the process returns to step S11 and waits until the next second period arrives.

[0041] Furthermore, when the determination unit 223 determines that the difference value calculated by the comparison unit 222 is equal to or greater than the threshold value stored in the threshold value storage unit 212 ("YES" in S17), it determines that a malfunction has occurred in the vehicle driving environment of the monitored road facility X. When the determination unit 223 determines that a malfunction has occurred in the vehicle driving environment of the monitored road facility X, it outputs information notifying the occurrence of the malfunction from the output unit 23 (S18).

[0042] An embodiment (1) in which the normal state data setting process and facility monitoring process are used to monitor a bridge X1, which is an example of a road facility X, and an embodiment (2) in which the normal state data setting process and facility monitoring process are used to monitor a road X2 will be described.

[0043] [Example (1) of use in monitoring bridge X1] In this embodiment, a first period, which is a period for executing the normal state data setting process related to the monitoring process of the bridge X1, is preset to, for example, one week immediately after the installation of the bridge X1. When this first period starts ("YES" in S1), the vehicle position measuring device 10 acquires position information of each vehicle traveling in the traveling area AR1 within the bridge X1 at a predetermined time interval. The vehicle position measuring device 10 transmits the detected position information of each vehicle to the monitoring device 20.

[0044] In the monitoring device 20, the driving condition data calculation unit 221 acquires the position information for each vehicle transmitted from the vehicle position measurement device 10 ("YES" in S2). The driving condition data calculation unit 221 calculates driving condition data for each vehicle based on the acquired information. In this embodiment, the driving condition data calculation unit 221 calculates the standard deviation related to the vertical movement amount of the vehicle traveling within the traveling area AR1 as the driving condition data (S3).

[0045] When the first period ends ("YES" in S4), the driving condition data calculation unit 221 calculates an average value of driving condition data for the multiple vehicles that have traveled through the driving area AR1 during the first period as normal state data, and stores the calculated average value in the normal state data storage unit 211 (S5). For example, the driving condition data calculation unit 221 stores the average standard deviation value "5 cm" for the multiple vehicles that have traveled through the driving area AR1 during the first period in the normal state data storage unit 211 as normal state data.

[0046] After that, when a predetermined second period starts ("YES" in S11), the vehicle position measuring device 10 acquires position information of each vehicle traveling in the traveling area AR1 within the bridge X1 at predetermined time intervals. The vehicle position measuring device 10 transmits the detected position information of each vehicle to the monitoring device 20.

[0047] In the monitoring device 20, the driving condition data calculation unit 221 acquires the position information for each vehicle transmitted from the vehicle position measurement device 10 ("YES" in S12). The driving condition data calculation unit 221 calculates the standard deviation of the vertical movement amount of the vehicle traveling within the traveling area AR1 as driving condition data for each vehicle based on the acquired information (S13).

[0048] When the second period ends ("YES" in S14), the driving condition data calculation unit 221 calculates the average value of the driving condition data for the multiple vehicles that have traveled through the driving area AR1 during the second period as the monitoring time data (S15). For example, the driving condition data calculation unit 221 calculates the average value of the standard deviation for the multiple vehicles that have traveled through the driving area AR1 during the second period, "8 cm", as the monitoring time data.

[0049] Next, the comparison unit 222 compares the normal state data "5 cm" stored in the normal state data storage unit 211 with the monitoring time data "8 cm" calculated by the driving state data calculation unit 221, and calculates the difference value "3 cm" (S16).

[0050] The determination unit 223 determines whether or not the difference value "3 cm" calculated by the comparison unit 222 is equal to or greater than the threshold value stored in the threshold storage unit 212. In this embodiment, the threshold value "2 cm" is stored in the threshold storage unit 212, and the determination unit 223 determines that the difference value "3 cm" calculated by the comparison unit 222 is equal to or greater than the threshold value "2 cm" stored in the threshold storage unit 212 ("YES" in S17).

[0051] When the determination unit 223 determines that the difference value calculated by the comparison unit 222 is equal to or greater than the threshold value stored in the threshold value storage unit 212, it determines that the bridge X1 has deteriorated to the point where it has bent in the vertical direction, and that a malfunction has occurred in the vehicle travel environment. When the determination unit 223 determines that a malfunction has occurred in the vehicle travel environment of the bridge X1, it outputs information notifying the occurrence of the malfunction, specifically, the deterioration of the bridge X1, from the output unit 23 (S18).

[0052] According to the above-described embodiment (1), the monitoring device 20 can accurately detect malfunctions related to the vehicle driving environment that occur due to gradual changes over a long period of time, in particular, deterioration of equipment that causes bending in the vertical direction due to aging.

[0053] [Example (2) of use in monitoring road X2] In this embodiment, the first period, which is the period during which the normal state data setting process for the monitoring process of road X2 is executed, is preset to, for example, one week immediately after the construction of road X2. When this first period starts ("YES" in S1), the vehicle position measuring device 10 acquires position information for each vehicle traveling in the travel area AR2 on road X2 at predetermined time intervals. The vehicle position measuring device 10 transmits the detected position information for each vehicle to the monitoring device 20.

[0054] In the monitoring device 20, the driving condition data calculation unit 221 acquires the position information for each vehicle transmitted from the vehicle position measuring device 10 ("YES" in S2). The driving condition data calculation unit 221 calculates driving condition data for each vehicle based on the acquired information.

[0055] In this embodiment, the driving condition data calculation unit 221 calculates, as driving condition data, the height from the road surface at the edge of the road in the width direction to the top of the vehicle (hereinafter referred to as "appearance height") at a location in the driving area AR2 where the vehicle travels infrequently, for example, the road surface at the edge of the roadway, in the width direction, to the top of the vehicle traveling. The driving condition data calculation unit 221 holds information on the height of the road surface at a location in the driving area AR2 where the vehicle travels infrequently. The appearance height calculated by the driving condition data calculation unit 221 is the height in the direction perpendicular to the road surface.

[0056] The driving condition data calculation unit 221 also identifies the vehicle model of the vehicle by recognizing the shape, etc. of the vehicle whose driving condition data is to be acquired from the information acquired by the vehicle position measuring device 10. The driving condition data calculation unit 221 associates the calculated external height of the specified vehicle with the identified vehicle model information and stores them.

[0057] When the first period ends ("YES" in S4), the driving condition data calculation unit 221 calculates the average value of the external appearance height for each type of vehicle that traveled in the driving area AR2 during the first period as normal state data, and stores it in the normal state data storage unit 211 (S5).

[0058] For example, the driving condition data calculation unit 221 stores the average external height value "158 cm" for multiple vehicles of vehicle type A that have traveled in the driving area AR2 within the first period as normal data for vehicle type A in the normal state data storage unit 211. The driving condition data calculation unit 221 also stores the average external height value "248 cm" for multiple vehicles of vehicle type B that have traveled in the driving area AR2 within the first period as normal data for vehicle type B in the normal state data storage unit 211.

[0059] The driving condition data calculation unit 221 may store vehicle height information for each vehicle type provided by the vehicle manufacturer in advance as reference height information for each vehicle type, and may correct the calculated normal data using the stored reference height information. For example, if there is variation in the appearance height of a plurality of vehicles of vehicle type A acquired during the first period and the standard deviation is a predetermined value or more, the normal data may be calculated and corrected using only the appearance heights whose difference from the reference height information of vehicle type A provided by the vehicle manufacturer is within a predetermined value. By performing such correction, it is possible to calculate highly accurate normal data even when the appearance height varies due to the weight of the loaded luggage, etc., even if the road condition is normal, due to the hardness of the material of the road surface, etc.

[0060] After that, when a predetermined second period starts ("YES" in S11), the vehicle position measuring device 10 acquires position information of each vehicle traveling in the traveling area AR2 on the road X2 at predetermined time intervals. The vehicle position measuring device 10 transmits the position information of each detected vehicle to the monitoring device 20.

[0061] In the monitoring device 20, the driving condition data calculation unit 221 acquires the position information for each vehicle transmitted from the vehicle position measurement device 10 ("YES" in S12). The driving condition data calculation unit 221 associates the calculated appearance height for the vehicle traveling in the traveling area AR2 with the identified vehicle type information as driving condition data for each vehicle based on the acquired information and holds it (S13).

[0062] When the second period ends ("YES" in S14), the driving condition data calculation unit 221 calculates the average value of the external appearance height for each vehicle type regarding the vehicles that have traveled in the driving area AR2 during the second period as monitoring time data (S15).

[0063] For example, the driving condition data calculation unit 221 calculates the average value of the external height of a plurality of vehicles of vehicle type A that have traveled in the driving area AR2 during the second period, "153 cm," as the monitoring time data of vehicle type A. The driving condition data calculation unit 221 also calculates the average value of the external height of a plurality of vehicles of vehicle type B that have traveled in the driving area AR2 during the second period, "244 cm," as the monitoring time data of vehicle type B.

[0064] Next, the comparison unit 222 compares the normal data "158 cm" of the A vehicle type stored in the normal data storage unit 211 with the monitoring time data "153 cm" of the A vehicle type calculated by the running state data calculation unit 221, and calculates the difference value "5 cm". The comparison unit 222 also compares the normal data "248 cm" of the B vehicle type stored in the normal data storage unit 211 with the monitoring time data "244 cm" of the A vehicle type calculated by the running state data calculation unit 221, and calculates the difference value "4 cm" (S16). By calculating the difference value between the normal data and monitoring time data for each vehicle type in this way, changes in road conditions can be detected with high accuracy.

[0065] The determination unit 223 determines whether the difference value "5 cm" for vehicle type A and the difference value "4 cm" for vehicle type B calculated by the comparison unit 222 are equal to or greater than the threshold value stored in the threshold storage unit 212. In this embodiment, the threshold value "3 cm" is stored in the threshold storage unit 212, and the determination unit 223 determines that the difference value "5 cm" for vehicle type A and the difference value "4 cm" for vehicle type B calculated by the comparison unit 222 are equal to or greater than the threshold value "3 cm" stored in the threshold storage unit 212 ("YES" in S17).

[0066] If the determination unit 223 determines that the difference value calculated by the comparison unit 222 is equal to or greater than the threshold value stored in the threshold value storage unit 212, it determines that the rutting of the road X2 has progressed and a problem has occurred in the vehicle driving environment.

[0067] Here, when the comparison unit 222 calculates the difference values ​​for many vehicle types, the determination unit 223 may determine that a malfunction has occurred on the road X2 when the difference values ​​of a predetermined percentage or more of the many vehicle types, for example, 50% or more of the vehicle types, are equal to or greater than the threshold value. By making the determination in this manner, it is possible to detect a malfunction that has occurred in the vehicle driving environment at an early stage as possible while preventing erroneous determination.

[0068] When the determination unit 223 determines that a problem has occurred in the vehicle driving environment on the road X2, the determination unit 223 outputs information notifying the occurrence of the problem, specifically, the occurrence of rutting on the road X2, from the output unit 23 (S18).

[0069] According to the above-described embodiment (2), the monitoring device 20 can accurately detect defects related to the vehicle driving environment that occur due to gradual changes over a long period of time, in particular the occurrence of rutting on the road surface in locations where vehicles travel frequently.

[0070] In the above embodiment, the first period and the second period are described as being one week, but the present invention is not limited to this and can be changed as appropriate depending on the equipment or items to be monitored, etc. In the above embodiment, the monitoring process is executed at intervals of six months, but this period can also be changed as appropriate.

[0071] In the above embodiment, the average value of the driving state data of the multiple vehicles acquired in the first period is set as the normal state data, and the average value of the driving state data of the multiple vehicles acquired in the second period is set as the monitoring state data. However, this is not limited to this, and the median or most frequent value of the driving state data of the multiple vehicles acquired in the first period may be set as the normal state data. Also, the median or most frequent value of the driving state data of the multiple vehicles acquired in the second period may be set as the monitoring state data.

[0072] Although several embodiments have been described, the embodiments can be modified or modified based on the above disclosure. All components of the above embodiments and all features described in the claims may be individually extracted and combined as long as they are not mutually inconsistent. [Explanation of symbols]

[0073] 1. Surveillance System 10 Vehicle position measuring device 20 Monitoring equipment 21 Memory section 22 CPU 23 Output section 211 Normal data storage unit 212 Threshold memory unit 221 Driving condition data calculation unit 222 Comparison section 223 Judgment section

Claims

1. a normal state data storage unit that stores, as normal state data, running state data related to the running behavior of a vehicle running within a road facility that is a monitoring target during a first period in which the vehicle running environment of the road facility is in a normal state; a running state data acquisition unit that acquires, as monitoring time data, running state data related to the running operation of a vehicle running within the road facility during a second period to be monitored; A road facility monitoring device comprising: a judgment unit that judges that a malfunction has occurred in the vehicle driving environment of the road facility when a difference value between the normal state data stored in the normal state data storage unit and the monitoring time data acquired by the driving condition data acquisition unit is equal to or greater than a predetermined threshold value.

2. 2. The monitoring device for a road facility according to claim 1, wherein the normal state data is a value based on travel state data of a plurality of vehicles traveling within the road facility, the data being acquired within the first period.

3. 2. The monitoring device for a road facility according to claim 1, wherein the monitoring time data is a value based on travel state data of a plurality of vehicles traveling within the road facility, the data being acquired within the second period.

4. The road facility monitoring device of claim 1, wherein the normal data and the monitoring data are values ​​based on a standard deviation regarding the vertical movement amount of a vehicle traveling within the road facility, or values ​​based on the apparent height from the road surface at a point within the road facility where vehicles travel infrequently to the top of the traveling vehicle.

5. 2. The monitoring device for a road facility according to claim 1, wherein the normal state data and the monitoring state data are acquired for each type of vehicle traveling within the road facility.

6. The road facility monitoring device of claim 2, wherein the normal state data and the monitoring state data are values ​​based on the height from the road surface at a point within the road facility where vehicles rarely travel, to the top of the vehicle traveling, and the driving condition data acquisition unit calculates the normal state data using driving condition data of a plurality of vehicles traveling within the road facility acquired within the first period, the difference between which is within a predetermined value from pre-stored vehicle height information for each vehicle type.

7. 6. The monitoring device for a road facility according to claim 5, wherein the determining unit determines that a problem has occurred in the vehicle driving environment of the road facility when a predetermined rate or more of vehicle types have the difference value equal to or greater than a predetermined threshold value.

8. Road facility monitoring equipment, storing, as normal state data, running state data relating to the running behavior of a vehicle running within a road facility to be monitored during a first period in which the vehicle running environment of the road facility is in a normal state; Obtaining, as monitoring time data, running state data relating to the running operation of a vehicle running within the road facility during a second period to be monitored; A road facility monitoring method, comprising: determining that a problem has occurred in the vehicle travel environment of the road facility when a difference value between the normal state data and the monitoring state data is equal to or greater than a predetermined threshold value.

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