JP2008297872A - Method for detecting road surface property in road surface property detector - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for detecting a road surface property in a road surface property detector reducing the number of roads where a traffic jam is generated by general vehicles. <P>SOLUTION: A road surface condition of a road 18 is presumed by executing a statistic processing of a road surface property information from a vehicle 11 running on a road 16 with a center device 32 as a road condition detector or road side communication devices 21-23. In other words, if the road 16 and a road 18 have almost same specification or a history of repairs, it is predicted that the same road surface property can be obtained even though the vehicle 11 runs on the road 16 and 18 respectively and measures the road surface property, so it is enough to run the vehicle 11 only on the road 16. Thus, it is not required that a vehicle 12 as a general vehicle is restricted running on the road 18, so the traffic jam of the vehicle 12 caused by the vehicle 11 is not generated. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a road surface property detection method for detecting a road surface state of the road by a road surface property detection device based on road surface property information of the road obtained by running a road surface property measurement vehicle on the road.

  Conventionally, a road surface property measurement vehicle is run on a road, and the road surface is cracked, rusty, road surface flatness, etc., and the road is maintained based on the measured road surface property information. A system for creating a repair plan has been proposed (see Patent Document 1).

JP 2005-84930 A (paragraphs [0023] to [0028], [0032] to [0041], [0048] to [0050], [0055] to [0059])

  By the way, for example, when the road surface is paved at the same time, or the pavement is repaired at the same time, the road surface properties on each road are the same for each of the roads with the same pavement condition and paving history. When each measurement vehicle is run, the same road surface property information is obtained, and as a result, the same maintenance and repair plan is expected to be made.

  However, the system disclosed in the above-mentioned Patent Document 1 is different from the above in order to obtain road surface property information for each road even if the pavement state of the road surface and the history of paving work are substantially the same. A road surface property measuring vehicle is driven on the road. As a result, on each of the roads, the traveling of the general vehicle is restricted while the road surface property measuring vehicle is traveling (during the measurement of the road surface property information). Therefore, traffic congestion of the general vehicle may occur on each road. .

  The present invention has been made in consideration of such problems, and an object of the present invention is to provide a road surface property detection method in a road surface property detection device that reduces the number of roads in which traffic congestion occurs in general vehicles.

  In the road surface property detection method according to the present invention, a road surface property measurement vehicle is run on one road, and a plurality of road surface property information related to the one road is measured by the road surface property measurement vehicle, and each of the measured road surfaces is measured. In the road surface property detection method for detecting the road surface state of the one road based on the property information, a step of obtaining a variance and an average value of the road surface property information on the one road; and the one road And a discriminant function for discriminating the road surface state of other roads having substantially the same specification or repair history, road surface property information of the other roads measured by other vehicles traveling on the other roads, and the variance, Substituting the average value to calculate the value of the discriminant function, and when the value of the discriminant function is below a predetermined threshold, it is determined that the road surface state of the other road is in an abnormal state Do And having a step.

  According to this invention, the road surface state information of the other road is estimated by statistically processing the road surface property information obtained from the road surface property measurement vehicle traveling on the one road with the road surface property detection device. That is, if the one road and the other road have substantially the same specification or repair history, the road surface property measurement vehicle is caused to travel on the one road and the other road, respectively. Even if the property information is measured, the same road surface property information is expected to be obtained. Therefore, the road surface property measurement vehicle is driven only on the one road.

  As described above, the road surface property information related to the one road measured by the road surface property measurement vehicle is statistically processed by the road surface property detection device, whereby the road surface property information of the other road is measured. The road surface condition of the other road can be efficiently estimated without measuring with the vehicle. Further, since the road surface property measurement vehicle only needs to travel on the one road, the other road that is a general vehicle does not need to be traveled on the other road, and the other road caused by the road surface property measurement vehicle. There is no traffic jam of the general vehicle on the road. Therefore, according to the present invention, it is possible to reduce the number of roads on which general vehicle traffic occurs.

  According to the present invention, it is possible to reduce the number of roads on which traffic congestion of general vehicles occurs.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 shows a part of an infrastructure configuration example of a road surface property detection system 10 to which an embodiment of a road surface property detection method in a road surface property detection device according to the present invention is applied.

  In this road surface property detection system 10, road-side communication devices 21 to 23 having different IDs at points A to C are installed on roads 16 and 18 whose direction indicated by an arrow is a traffic direction. Road surface property measurement vehicle) 11 is present within the communication range of the roadside communication device 22 installed at the point B, and the roadside communication in which the vehicle (other vehicle) 12 as a general vehicle is installed at the point C on the road 18. It exists within the communication range of the device 23.

  The roadside communication devices 21 to 23 are configured to be capable of real-time communication with a center device 32 as another information collecting / providing device via the network 30.

  FIG. 2 shows a system configuration example of the road information collecting / providing system 10 shown in FIG.

  As can be seen from FIG. 2, the road information collecting / providing system 10 includes a center device 32, roadside communication devices 21 to 23 connected to the center device 32 via a network 30 via a wireless LAN, and the roadside communication. It is comprised from the vehicles 11 and 12 which can carry out wireless communication with the apparatuses 21-23.

  Each of the vehicles 11 and 12 has a control unit (CPU) 100. The control unit 100 detects a GPS device 102 for specifying its own position, a display unit 104 that also serves as a display unit of a navigation device, and detects a vehicle speed. A vehicle speed sensor 106, a vibration sensor 108 for detecting vehicle vibration, a temperature sensor 110 for measuring outside air temperature, a wireless transmission / reception unit 118, and a state capturing unit 120 are connected.

  The state capturing unit 120 includes an accelerator opening sensor 122, a brake pressure sensor 124, a wiper sensor 126, a handle sensor 128, a seat sensor 130, an antilock brake mechanism (ABS) 132, a skid prevention mechanism (EPS) 134, and a movie camera. 136 is connected.

  The state capturing unit 120 sends information captured by these sensors to the control unit 100. That is, the state capturing unit 120 outputs, for example, the handle operation amount by the operator of the vehicles 11 and 12 detected by the handle sensor 128 to the control unit 100.

  The control unit 100 transmits information obtained by sensors connected to the control unit 100 and the state capturing unit 120 from the wireless transmission / reception unit 118 as road surface property information of the vehicles 11 and 12. That is, the control unit 100 determines the magnitude of the vibration of the vehicles 11 and 12 detected by the vibration sensor 108 and the magnitude of the vibration corresponding to the steering wheel operation amount via the wireless transmission / reception unit 118 in the communication range. It transmits to the communication apparatuses 21-23.

  Then, the vehicle 11 travels on the road 16 periodically, measures the road surface properties of the road 16 (for example, cracks on the road surface of the road 16, rubbing properties, road surface flatness (unevenness)), and measurement results. Is the road surface property measuring vehicle that transmits the road surface property information (the magnitude of each vibration) to the roadside communication device 22. Therefore, the vehicle 11 measures (investigates) the road surface properties on the road 16, but does not particularly measure (investigates) the road surface properties on the other roads 18. In addition, it can replace with the road surface property measurement vehicle mentioned above, and the vehicle 11 can also employ | adopt the general vehicle provided with the vibration sensor 108, the handle sensor 128, and the communication function with the roadside communication apparatuses 21-23. .

  On the other hand, the vehicle 12 is a general vehicle capable of transmitting road surface property information such as the magnitude of vibration of the vehicle 12 to the roadside communication device 23 when traveling on the road 18. Therefore, the vehicle 12 travels on the road 18 and transmits road surface property information related to the road 18 to the roadside communication device 23.

  The road 18 is another road having substantially the same specification or repair history as the road 16, and specifically, the road surface is paved with the same pavement specification at the same time as the road 16, and the road This is the road where the pavement was repaired at the same time.

  The roadside communication devices 21 to 23 transmit the road surface property information received from the vehicles 11 and 12 to the center device (road surface property detection device) 32.

  The center device 32 performs predetermined processing such as statistical processing, which will be described later, on each road surface property information received from the roadside communication devices 21 to 23, so that the road surface state of the roads 16 and 18 on which the vehicles 11 and 12 have traveled is obtained. It is determined whether or not there is a problem (for example, whether there is a crack or unevenness on the road surface enough to repair the pavement).

  The roadside communication devices 21 to 23 perform the statistical processing on the road surface property information without transmitting the road surface property information received from the vehicles 11 and 12 to the center device. It is also possible to determine the road surface condition. In this case, the roadside communication devices 21 to 23 function as road surface property detection devices.

  Therefore, the center device 32 or the roadside communication devices 21 to 23 determines, for example, a predetermined road section (in FIG. 1, the vehicles 11 and 12 are the roadside communication devices 21 to 23 based on the road surface property information obtained from the vehicles 11 and 12. In the road section within the communication range of the roadside communication devices 21 to 23 that can transmit road surface property information to the road surface, the road surface of the road 16 (one road) is cracked or uneven so as to require pavement repair. Further, it is determined that the same pavement repair is necessary on the road 18 having the same specifications or repair history as the road 16.

  The roadside communication devices 21 to 23 include a control unit (CPU) 200, and the control unit 200 provides statistics on data stored in the data memory 201 and road surface property information data from the vehicles 11 and 12. A processing unit 202 that performs predetermined processing such as processing, a LAN connection unit 208, and a wireless transmission / reception unit 210 are connected.

  The wireless transmission / reception unit 210 of the roadside communication devices 21 to 23 transmits / receives information to / from the wireless transmission / reception unit 118 of the vehicles 11 and 12 that are within the communication range. The LAN connection unit 208 of the roadside communication devices 21 to 23 is wirelessly connected to the center device 32 via the network 30 and also to the LAN connection unit 208 of the other roadside communication devices 21 to 23 via the network 30. Wireless connection is established (see FIG. 1).

  The center device 32 includes a control unit 300, and a processing unit 318 that performs predetermined processing such as statistical processing on the data stored in the data memory 316 and a LAN connection unit 320 are connected to the control unit 300. ing.

  The LAN connection unit 320 of the center device 32 is wirelessly connected to the LAN connection unit 208 of the roadside communication devices 21 to 23 via the network 30.

  Each of the control units 100, 200, 300 and the processing units 202, 318 functions as various function realizing means by executing a program stored in a ROM (not shown) or the like.

  The road surface property detection system 10 is basically configured and operates as described above. Next, the operation and effect of the road surface property detection system 10 according to this embodiment will be described with reference to the flowchart of FIG. This will be described based on the tables of 4A and 4B.

  Here, the center device 32 performs statistical processing on the road surface property information from the vehicles 11 and 12, so that the road surface state of the road 16 and the road surface state of the road 18 having substantially the same use and repair history as the road 16. A case where the determination is made will be described. Therefore, the vehicle 11 as the road surface property measuring vehicle measures (investigates) the road surface property of the road 16 but does not measure (investigates) the road surface property of the road 18.

  First, in step S1, the center device 32 summarizes the road surface property information received from the vehicles 11 and 12 via the roadside communication devices 22 and 23 into a table database shown in FIG. 4A and FIG. 4B, and the data memory 316 (FIG. 2).

  In this case, the vibration sensor 108 in the vehicles 11, 12 detects the magnitude of vibration of the vehicles 11, 12 traveling on the roads 16, 18 and outputs it to the control unit 100, and the handle sensor 128 is output from the vehicles 11, 12. Is detected and output to the control unit 100 via the state capturing unit 120. The control unit 100 of the vehicle 11 transmits the magnitude of the vibration and / or the magnitude of the vibration corresponding to the handle operation amount as road surface property information to the roadside communication device 22 via the wireless transmission / reception unit 118, and The control unit 100 transmits the magnitude of the vibration and / or the vibration corresponding to the handle operation amount as road surface property information to the roadside communication device 23 via the wireless transmission / reception unit 118. The roadside communication device 22 transmits the road surface property information received from the vehicle 11 to the center device 32, and the roadside communication device 23 transmits the road surface property information received from the vehicle 12 to the center device 32.

  The processing unit 318 of the center device 32 first stores the vehicle type of the vehicles 11 and 12 and the magnitude of vibration as the road surface property information for each road surface property information (sample) received from the vehicles 11 and 12. The database shown in FIGS. 4A and 4B is created, and this database is stored in the data memory 316 (see FIG. 2).

  In the database related to the vehicle 11 shown in FIG. 4A, the vehicle type of the vehicle 11 and the magnitude of vibration Oi and Ni (i: any integer) are stored in predetermined locations for each sample. On the other hand, in the database related to the vehicle 12 shown in FIG. 4B, the vehicle type of the vehicle 12 and the magnitude of vibration Si (i: any integer) are stored at predetermined locations for each sample.

  In FIG. 1, one vehicle 11 is driven on the road 16 and one vehicle 12 is driven on the road 18. "Is attached. In addition, when transmitting the road surface property information from the vehicles 11 and 12, for example, by adding an ID provided to the vehicle to the road surface property information and transmitting the road surface property information to the roadside communication devices 22 and 23, in the center device 32, By identifying this ID, it is possible to identify that the vehicle types of the vehicles 11 and 12 are “small”.

  Then, the processing unit 318 determines whether or not the vibration magnitudes Oi and Ni as the road surface property information of the vehicle 11 illustrated in FIG. 4A exceed a predetermined threshold. That is, the processing unit 318 determines that this sample is “problematic” when the vibration exceeds the threshold (vibration Ni) (see FIG. 4A). On the other hand, when the vibration falls below the threshold (vibration Oi), the processing unit 318 determines that this sample is “no problem”. As shown in FIG. 4A, the magnitude of the vibration of the sample determined as “no problem” is Oi, and the magnitude of the vibration of the sample determined as “problematic” is Ni.

  Here, “problem” means that pavement repair is necessary on the road surface of the road 16, while “no problem” means that pavement repair is not necessary on the road surface of the road 16. Show.

  4A is a database related to the measurement result of the road surface property of the road 16 by the vehicle 11 as the road surface property measurement vehicle, the words “problem” or “no problem” are displayed in the “survey result” column. Is described. On the other hand, since the vehicle 11 does not travel on the road 18, the word “not surveyed” is written in the “survey result” column in FIG. 4B.

Next, in step S <b> 2, the processing unit 318 determines sample data determined as “no problem” in the database (see FIG. 4A) related to the vehicle 11 (see FIGS. 1 and 2) stored in the data memory 316. From the number N0 and the vibration magnitude Oi, the average value μ0 of the vibration magnitude Oi determined to be “no problem” and the sum S0 of the squares of the differences between the average value μ0 and the vibration magnitude Oi, It calculates according to the following (1) Formula and (2) Formula.
μ0 = ΣOi / N0 (1)
S0 = Σ (Oi−μ0) ² (2)

However, Σ is a mathematical symbol indicating the sum of vibration magnitudes Oi when i = 1 to N in the equation (1), and (Oi−μ0) ^{2 when} i = 1 to N in the equation (2). It is a mathematical symbol indicating the sum.

Further, the processing unit 318 calculates the average value μN of the vibration magnitude Ni determined as “problematic” from the sample data number NN determined as “problematic” and the vibration magnitude Ni, and the average The total sum SN of the squares of the difference between the value μN and the vibration Ni is calculated according to the following equations (3) and (4).
μN = ΣNi / NN (3)
SN = Σ (Ni−μN) ² (4)

However, Σ is a mathematical symbol indicating the sum of vibration magnitudes Ni when i = 1 to N in equation (3), and (Ni−μN) ^{2 when} i = 1 to N in equation (4). It is a mathematical symbol indicating the sum.

In the processing unit 318, for all samples determined to be “problematic” and “no problem”, the vibration magnitude Oi, the average value μ of Ni, and the vibration magnitude Oi, Ni variance σ ² Is calculated according to the following equations (5) and (6).
μ = (μ0 + μN) / 2 (5)
σ ² = (S0 + SN) / (N0-1 + NN-1) ² (6)

Next, in step S <b> 3, the processing unit 318 determines the vibration level Si of the vehicle 12, the average value μ, the average value μ0, the average value μN, and the variance σ ² , and the road surface condition of the road 18. The value of the discriminant function Z is calculated by substituting it into the discriminant function Z of the following equation (7).
Z = (Si−μ) × (μ0−μN) / σ ² (7)

  Next, in step S4, the processing unit 318 determines whether or not the value of the discriminant function Z is less than 0 (Z <0). When the value of the discriminant function Z is 0 or more (Z ≧ 0), the processing unit 318 does not need to repair the pavement for the road 18 that has substantially the same pavement specifications and pavement construction history with respect to the road 16. Therefore, it is determined that “no problem” (step S5). On the other hand, when the value of the discriminant function Z is less than 0 (Z <0), the processing unit 318 needs to repair the pavement for the road 18, and therefore determines that “there is a problem” (step) S6).

  Thus, according to the present embodiment, the road surface property information obtained from the vehicle 11 traveling on the road 16 is statistically processed by the center device 32 or the road side communication devices 21 to 23 as the road surface state detection device. The road surface condition of the road 18 is estimated. That is, if the road 16 and the road 18 have substantially the same specification or repair history, the same road surface property information can be obtained even if the vehicle 11 is driven on the roads 16 and 18 and the road surface property information is measured. Therefore, the vehicle 11 is caused to travel only on the road 16.

  Thus, the road surface property information related to the road 16 measured by the vehicle 11 is statistically processed by the center device 32 or the road side communication devices 21 to 23, thereby measuring the road surface property information of the road 18 by the vehicle 11. Therefore, the road surface state of the road 18 can be efficiently estimated. Further, since the vehicle 11 only needs to travel on the road 16, travel restrictions on the vehicle 12 as a general vehicle are not required on the road 18, and the traffic jam of the vehicle 12 due to the vehicle 11 does not occur. Therefore, according to this embodiment, it is possible to reduce the number of roads where general vehicle traffic occurs.

  In the above-described embodiment, the vehicles 11 and 12 encrypt the road surface property information and transmit it to the road side communication devices 22 and 23, and the road side communication devices 22 and 23 or the center device 32 receive the received road surface property information. It is also possible to perform statistical processing of the road surface property information after the encryption is canceled. Thereby, the road surface property information can be reliably transmitted from the vehicles 11 and 12 to the roadside communication devices 22 and 23.

  Note that the present invention is not limited to the above-described embodiment, and it is needless to say that various configurations can be adopted based on the contents described in this specification.

It is a partial explanatory view of an infrastructure configuration example of a road surface property detection system to which an embodiment of a road surface property detection method according to the present invention is applied. The example of a system configuration | structure of the road surface property detection system of the example of FIG. 1 is shown. It is a flowchart of a road surface property detection system. 4A is a database of road surface property information obtained from a road surface property measurement vehicle, and FIG. 4B is a database of road surface property information obtained from a general vehicle.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Road surface property detection system 11, 12 ... Vehicle 16, 18 ... Road 21-23 ... Road side communication apparatus 30 ... Network 32 ... Center apparatus 100, 200, 300 ... Control part

Claims (1)

A road surface property measuring vehicle is run on one road, a plurality of road surface property information relating to the one road is measured by the road surface property measuring vehicle, and the road surface property information is measured based on the measured road surface property information. In the road surface property detection method in the road surface property detection device for detecting the road surface state,
Obtaining a variance and an average value of each road surface property information on the one road;
On the discriminant function for discriminating the road surface state of other roads having substantially the same specification or repair history as the one road, road surface property information of the other roads measured by other vehicles traveling on the other roads, Substituting the variance and the average value to calculate the value of the discriminant function;
Determining that the road surface condition of the other road is in an abnormal state when the value of the discriminant function is below a predetermined threshold;
A road surface property detection method in a road surface property detection device.

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