JP2021140258A - Service evaluation device, service evaluation system including the same, service evaluation method, and service evaluation program - Google Patents

Abstract

To provide a service evaluation device, a service evaluation system including the same, a service evaluation method, and a service evaluation program capable of appropriately and comprehensively evaluating a service behavior of an operator without extracting and analyzing data of an excellent operator.SOLUTION: A service evaluation device 10 includes a communication unit 11 and a control unit 12. The communication unit 11 acquires a determination result obtained by determining whether or not a state of an operator falls into a predetermined operation behavior to be a cause of accident occurrence based on information indicating the state of the operator who operates a vehicle 2. The control unit 12 evaluates an operation behavior of the operator by performing weighting in accordance with a rate of the number of accident occurrence in the past when the determination result acquired by the communication unit 11 shows that the state of the operator falls into the predetermined operation behavior.SELECTED DRAWING: Figure 3

Description

The present invention relates to, for example, an operation evaluation device for evaluating an operation behavior by an operator who operates and operates a moving body such as an automobile, a train, an airplane, or a ship, an operation evaluation system including the operation evaluation system, an operation evaluation method, and an operation evaluation. Regarding the program.

In recent years, in order to evaluate the skill of a driver of a moving body such as an automobile, various devices that detect the behavior of the moving body and evaluate the driving skill have been used.
For example, Patent Document 1 describes an operation management device that detects acceleration and angular velocity data of an automobile and compares the driving skills of a driver such as braking and steering with the data of a good driver to calculate a total score. Is disclosed.

Japanese Patent No. 047913937

However, the above-mentioned conventional operation management device has the following problems.
That is, in the operation management device disclosed in the above publication, it is necessary to extract and evaluate a good driver in advance as a comparison target used for evaluation. In addition, since the good drivers to be compared are basically safe driving, there is no mention of which driving behavior ratio should be highly evaluated, how much deterioration should be reflected in the evaluation, and the like.

The subject of the present invention is an operation evaluation device capable of appropriately comprehensively evaluating the operation behavior of an operator without extracting and analyzing data of a good operator, an operation evaluation system provided with the operation evaluation system, an operation evaluation method, and the like. It is to provide an operation evaluation program.

The operation evaluation device according to the first invention is an operation evaluation device for evaluating an operation behavior by an operator who operates a moving body, and includes an operation state acquisition unit and an operation evaluation unit. The operation status acquisition unit acquires a determination result of determining whether or not the operator's condition corresponds to a predetermined operation behavior that causes an accident based on the information indicating the condition of the operator who operates the moving body. .. When the judgment result acquired by the operation status acquisition department corresponds to the predetermined operation behavior, the operation evaluation department weights the operator according to the ratio of the number of accidents in the past. Evaluate driving behavior.

Here, when it is determined that there is an operator's condition (action) that causes an accident, the operator's condition is weighted according to the ratio of the number of accidents in the past, and the operator's operation is performed. Evaluate behavior.
Here, the moving body includes various moving bodies such as automobiles, buses, trucks, trains, bullet trains, linear motor cars, ships, aircraft, helicopters, Segways, and bicycles.

The operator includes a driver, an operator, an operator, and the like who drive, operate, and operate various moving objects.
Predetermined driving behavior is the state (action) of the operator that causes an accident, for example, looking aside, carelessness in front, calling, smartphone operation, eating and drinking, dozing, dangerous driving, long-time driving, sudden operation. , Excessive speed, temporary non-stop, ignoring traffic lights, slow-moving violation, left / right turn violation, railroad crossing non-stop, impact, etc.

Judgment as to whether or not it corresponds to a predetermined operation behavior is performed by, for example, an in-vehicle device mounted on a moving body, and the determination result may be obtained from the in-vehicle device or the like, or the operation obtained from the moving body. The operation evaluation device may make a judgment by itself based on the information of the person or the like.
The ratio of the number of accidents in the past is calculated from, for example, the data of the number of accidents in the most recent year, and it is preferable to use the data updated regularly. Further, the ratio of the number of accidents in the past may be stored in the storage unit provided in the operation evaluation device, or may be referred to the one stored in the external server, cloud space, or the like.

The evaluation of the driving behavior includes, for example, a method of expressing the superiority or inferiority of the driving behavior by a score, a method of expressing by ranks such as A, B, and C, and a method of expressing by pass / fail.
In addition, in the weighting performed when evaluating the operation behavior of the operator, for example, the weighting is increased for the operation behavior that is highly related to the number of accidents in the past, the operation behavior that is highly related to the fatal accident, and the like. Processing is conceivable.

As a result, the operator who operates the mobile body is weighted so that the evaluation ratio is high for the operation behavior that is highly related to the accident that occurred in the past, and whether or not the driving behavior is likely to cause an accident. Can be evaluated comprehensively.
As a result, it is possible to appropriately comprehensively evaluate the operation behavior of the operator without extracting and analyzing the data of the excellent operator.

The operation evaluation device according to the second invention is the operation evaluation device according to the first invention, and further includes an operator information acquisition unit that acquires information indicating the state of the operator from the moving body.
Here, for example, an operator information acquisition unit that acquires an image of the operator from an in-vehicle camera or the like that acquires an image of the operator is provided in the operation evaluation device.
Here, the information indicating the state of the operator acquired by the operator information acquisition unit includes, for example, looking aside by the operator, carelessness in front, calling, smartphone operation, eating and drinking, dozing, sudden operation, overspeed, and temporary inability. The state (act) such as suspension is included.
Thereby, it is possible to determine whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident by using the state of the operator acquired from a camera or the like mounted on the moving body.

The operation evaluation device according to the third invention is an operation evaluation device according to the second invention, and the operation state acquisition unit is based on the information indicating the state of the operator acquired by the operator information acquisition unit. It is determined whether or not the condition of the operator corresponds to a predetermined operation behavior that causes an accident.

Here, using information such as an operator's image acquired from a camera or the like mounted on the above-mentioned moving body, it is determined whether or not the operator's condition corresponds to a predetermined operating behavior that causes an accident. do.
As a result, the operation evaluation device itself can determine whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident.

The operation evaluation device according to the fourth invention is an operation evaluation device according to any one of the first to third inventions, and when the determination result corresponds to a predetermined operation action, for each operation action. It also has an evaluation point calculation unit that calculates the evaluation points of the operator.
Here, an evaluation point calculation unit for calculating an operator's evaluation point (score) as an operator's evaluation is provided in the operation evaluation device.
Thereby, the superiority or inferiority of the above-mentioned operator's operation behavior can be expressed by a score considering the relevance to the accident that occurred in the past.

The operation evaluation device according to the fifth invention is an operation evaluation device according to the fourth invention, and the evaluation point calculation unit calculates an evaluation point based on the frequency of occurrence of operation behavior in a predetermined time.
Here, the above-mentioned evaluation points are calculated using the frequency of occurrence of a specific driving behavior within a predetermined time (for example, one hour).
Thereby, for example, the evaluation score can be calculated so that the higher the frequency of occurrence, the lower the score of the action of the operator whose specific driving behavior such as aside is frequently generated within a predetermined time.

The operation evaluation device according to the sixth invention is an operation evaluation device according to the fourth or fifth invention, and the operation evaluation unit weights the evaluation points calculated by the evaluation point calculation unit. Multiply by a coefficient to calculate the operator's overall evaluation score and evaluate the operator's operating behavior.

Here, the evaluation points calculated by the evaluation point calculation unit are weighted as described above to calculate the total evaluation points, and the operation behavior of the operator is evaluated.
As a result, for example, in consideration of the relationship with the number of accidents in the past, weighting is performed so that the evaluation rate is high for the operation behavior that is highly related to the accident occurrence, and the operation behavior of the operator is integrated. It can be appropriately comprehensively evaluated as an evaluation point.

The operation evaluation device according to the seventh invention is an operation evaluation device according to any one of the first to sixth inventions, and is a moving body that acquires information on the speed, acceleration, and angular velocity of the moving body during operation. It also has a data acquisition unit.
Here, the operation evaluation device is provided with a moving body data acquisition unit that acquires information on the speed, acceleration, and angular velocity of the moving body.
Thereby, it is possible to determine the presence or absence of dangerous driving behavior by the operator such as sudden acceleration, excessive speed, and sharp turning of the moving body by using the data of the speed, acceleration, and angular velocity of the moving body.

The operation evaluation device according to the eighth invention is the operation evaluation device according to the seventh invention, and is a moving body that determines the state of the moving body by using the information about the moving body acquired by the moving body data acquisition unit. It also has a state determination unit.

Here, in addition to the state of the operator, a moving body state determining unit for determining the state of the moving body is provided in the operation evaluation device.
Thereby, the operation behavior by the operator can be determined not only from the state of the operator but also from the change in the state of the moving body operated by the operator.

The operation evaluation device according to the ninth invention is an operation evaluation device according to any one of the first to eighth inventions, and determines the safety confirmation behavior of the operator when the moving body operates at the intersection. It also has an intersection behavior judgment unit.
Here, the operation evaluation device is provided with an intersection behavior determination unit that determines the safety confirmation behavior when operating the intersection, focusing on the operation at the intersection where accidents are likely to occur when the moving body such as a vehicle is operating. There is.
Here, the presence or absence of the safety confirmation action of the operator operating at the intersection can be determined by using, for example, an image, an image, or the like of a camera or the like that captures the upper body of the operator.
As a result, more appropriate evaluation can be performed by adding the presence or absence of the operator's safety confirmation behavior at the intersection where an accident is likely to occur as the evaluation of the operator's operation behavior.

The operation evaluation device according to the tenth invention is an operation evaluation device according to any one of the first to ninth inventions, and is calculated according to the data indicating the ratio of the number of accidents in the past and the data. It also has a weighting coefficient and a storage unit for storing the evaluation results in the operation evaluation unit.
Here, the operation evaluation device is provided with a storage unit for storing data indicating the ratio of the number of accidents in the past, a weighting coefficient, an evaluation result, and the like.
Thereby, the operation behavior of the operator can be evaluated by using the data, the weighting coefficient, and the like stored in the storage unit in the device.

The operation evaluation device according to the eleventh invention is an operation evaluation device according to any one of the first to tenth inventions, and the data showing the ratio of the number of accidents in the past is the latest every predetermined period. Updated to data.
Here, the data showing the ratio of the number of accidents in the past, which is the basis of the weighting used for evaluating the operation behavior of the operator, is updated to the latest data every predetermined period.
As a result, the operation behavior of the operator can be appropriately comprehensively evaluated by the weighting calculated using the latest data.

The operation evaluation device according to the twelfth invention is an operation evaluation device according to any one of the first to eleventh inventions, and the data showing the ratio of the number of accidents in the past includes the season, weather, and region. It is saved for each external environment including.

Here, data showing the ratio of the number of accidents in the past, which is the basis of weighting used for evaluating the operation behavior of the operator, is stored for each external environment such as season, weather, and region.
As a result, even if there are differences in the causes of accidents depending on the external environment such as season, weather, and region, weighting is performed using data corresponding to the external environment such as season, weather, and region, which is more appropriate. It is possible to evaluate various driving behaviors.

The operation evaluation device according to the thirteenth invention is an operation evaluation device according to any one of the first to twelfth inventions, and the operation evaluation unit has a ratio of the number of past occurrences of a predetermined ratio or more. Regarding the operation behavior, the operation behavior of the operator is evaluated using the weighting coefficient calculated for each operation behavior.
Here, weighting is performed using data excluding driving behavior in which the ratio of accidents is low.
As a result, for example, by using data that excludes driving behavior such as safety unconfirmation and aside, which have a high percentage of accidents, and excludes railroad crossing stop signs, which have a low percentage, the evaluation of driving behavior is efficiently carried out. be able to.

The operation evaluation device according to the fourteenth invention is an operation evaluation device according to any one of the first to thirteenth inventions, and the operation evaluation unit uses a detection function in which the operation behavior is mounted on the moving body. For the items that can be determined, the operating behavior of the operator is evaluated using the weighting coefficient calculated for each operating behavior.

Here, weighting is performed on the driving behavior that can be determined by the detection function mounted on the moving body (for example, the camera for shooting the operator, the camera for shooting the external environment, the acceleration sensor, the angular velocity sensor, etc.).
As a result, it is possible to appropriately determine the driving behavior that can be determined by using the detection function of the camera or the like mounted on the moving body, and evaluate the operator.

The operation evaluation device according to the fifteenth invention is an operation evaluation device according to any one of the first to fourteenth inventions, and the operation evaluation unit classifies the operation behavior according to the type of a predetermined violation of laws and regulations. , The operating behavior of the operator is evaluated using the weighting coefficient calculated for each operating behavior.
Here, the operator is evaluated using the weighting coefficient calculated for each operation behavior classified according to the type of predetermined violation of laws and regulations.

Here, the types of predetermined violations of laws and regulations include, for example, those caused by driving operations, those caused by safety concentration, those caused by compliance, and the like.
As a result, it is possible to evaluate the operator for each category of violation of laws and regulations for various operation behaviors classified according to violation of laws and regulations.

The operation evaluation device according to the sixteenth invention is an operation evaluation device according to any one of the first to fifteenth inventions, and the operation evaluation unit classifies the operation behavior into predetermined safe operation evaluation items. , The operating behavior of the operator is evaluated using the weighting coefficient calculated for each operating behavior.
Here, the operator is evaluated using the weighting coefficient calculated for each operation behavior classified for each safe operation evaluation item.
Here, the safe operation evaluation items include, for example, driving propensity, safety confirmation, driving concentration, health / fatigue degree, and the like.
As a result, it is possible to evaluate the operator for each safe operation evaluation item for various operation behaviors classified for each safe operation evaluation item.

The operation evaluation device according to the seventeenth invention is an operation evaluation device according to any one of the first to sixteenth inventions, and the operation evaluation unit is weighted according to the number of fatal accidents in the past. The coefficient is used to evaluate the operating behavior of the operator.
Here, among the data on the number of past accidents referred to when evaluating the operator, the number of fatal accidents is particularly focused on and weighted.

As a result, by weighting the driving behavior of the driver who caused the fatal accident that should be prevented most, the evaluation score is lowered for the driving behavior of the driver who caused the fatal accident, and the operator is given. Can call attention.

The operation evaluation device according to the eighteenth invention is an operation evaluation device according to any one of the first to seventeenth inventions, and further includes an attribute acquisition unit for acquiring information on the attributes of the operator and the moving body. I have.
Here, the operation evaluation device is provided with an attribute acquisition unit that acquires the attributes of the operator such as age, gender, occupation, and the attributes of the moving body such as the vehicle type and the number of years of use.
Thereby, for example, it is possible to evaluate a more appropriate operator in consideration of the attributes of the operator such as the elderly who are likely to cause an accident, the attributes of the moving body such as the vehicle type, and the like.

The operation evaluation device according to the nineteenth invention is an operation evaluation device according to the eighteenth invention, and the operation evaluation unit is a weighting calculated according to the attributes of the operator and the moving body acquired by the attribute acquisition unit. The coefficient is used to evaluate the operating behavior of the operator.
Here, the operation behavior of the operator is evaluated using the attributes of the operator and the moving body acquired by the attribute acquisition unit described above.
Thereby, for example, it is possible to evaluate a more appropriate operator in consideration of the attributes of the operator such as the elderly who are likely to cause an accident, the attributes of the moving body such as the vehicle type, and the like.

The operation evaluation device according to the twentieth invention is an operation evaluation device according to any one of the first to nineteenth inventions. It includes at least one of eating and drinking, dozing, dangerous driving, long-time driving, sudden operation, overspeed, temporary non-stop, ignoring traffic lights, slow-moving violation, left / right turn violation, railroad crossing non-stop, and impact.
Here, as the operation behavior of the operator that may cause an accident, aside, carelessness in front, calling, smartphone operation, eating and drinking, dozing, dangerous driving, long-time driving, sudden operation, overspeed, temporary non-stop, It is judged whether or not there is a signal neglect, a slow-moving violation, a left / right turn violation, a railroad crossing non-stop, and an impact.
As a result, when the operating behavior of the operator that may cause an accident occurs, the evaluation can be performed so that the evaluation of the operating behavior of the operator becomes low.

The operation evaluation device according to the twenty-first invention is an operation evaluation device according to any one of the first to twentieth inventions, and has a display unit for displaying the evaluation result of the operator's operation behavior in the operation evaluation unit. , Further prepared.
Here, the operation evaluation device is provided with a display unit for displaying the evaluation result of the operation behavior of the operator.
As a result, the operator or the manager who manages the operator can be careful or instruct not to perform dangerous operation behavior when the operator's evaluation is low.

The operation evaluation system according to the 22nd invention includes an operation evaluation device according to any one of the first to 21st inventions, and an in-vehicle device mounted on a moving body and communicating with the operation evaluation device. I have.
Here, the operation evaluation system is configured by using the above-mentioned operation evaluation device and the in-vehicle device mounted on the moving body.
As a result, it is possible to provide a system capable of appropriately comprehensively evaluating the operation behavior of the operator without extracting and analyzing the data of the excellent operator.

The operation evaluation method according to the 23rd invention is an operation evaluation method for evaluating an operation behavior by an operator who operates a moving body, and includes an operation state acquisition step and an evaluation step. In the operation status acquisition step, the determination result of determining whether or not the operator's condition corresponds to a predetermined operation behavior that causes an accident is acquired based on the information indicating the condition of the operator who operates the moving body. .. In the evaluation step, when the judgment result acquired in the operation status acquisition step corresponds to the predetermined operation behavior, the operator's operation is weighted according to the ratio of the number of accidents in the past. Evaluate behavior.

Here, when it is determined that there is an operator's condition (action) that causes an accident, the operator's condition is weighted according to the ratio of the number of accidents in the past, and the operator's operation is performed. Evaluate behavior.
Here, the moving body includes various moving bodies such as automobiles, buses, trucks, trains, bullet trains, linear motor cars, ships, aircraft, helicopters, Segways, and bicycles.

The operator includes a driver, an operator, an operator, and the like who drive, operate, and operate various moving objects.
Predetermined driving behavior is the state (action) of the operator that causes an accident, for example, looking aside, carelessness in front, calling, smartphone operation, eating and drinking, dozing, dangerous driving, long-time driving, sudden operation. , Excessive speed, temporary non-stop, ignoring traffic lights, slow-moving violation, left / right turn violation, railroad crossing non-stop, impact, etc.

Judgment as to whether or not it corresponds to a predetermined operation behavior is performed by, for example, an in-vehicle device mounted on a moving body, and the determination result may be obtained from the in-vehicle device or the like, or the operation obtained from the moving body. The operation evaluation device may make a judgment by itself based on the information of the person or the like.
The ratio of the number of accidents in the past is calculated from, for example, the data of the number of accidents in the most recent year, and it is preferable to use the data updated regularly. Further, the ratio of the number of accidents in the past may be stored in the storage unit provided in the operation evaluation device, or may be referred to the one stored in the external server, cloud space, or the like.

The evaluation of the driving behavior includes, for example, a method of expressing the superiority or inferiority of the driving behavior by a score, a method of expressing by ranks such as A, B, and C, and a method of expressing by pass / fail.
In addition, in the weighting performed when evaluating the operation behavior of the operator, for example, the weighting is increased for the operation behavior that is highly related to the number of accidents in the past, the operation behavior that is highly related to the fatal accident, and the like. Processing is conceivable.

As a result, the operator who operates the mobile body is weighted so that the evaluation ratio is high for the operation behavior that is highly related to the accident that occurred in the past, and whether or not the driving behavior is likely to cause an accident. Can be evaluated comprehensively.
As a result, it is possible to appropriately comprehensively evaluate the operation behavior of the operator without extracting and analyzing the data of the excellent operator.

The operation evaluation program according to the twenty-fourth invention is an operation evaluation method for evaluating an operation behavior by an operator who operates a moving object, and provides an operation evaluation method including an operation state acquisition step and an evaluation step. Let the computer do it. In the operation status acquisition step, the determination result of determining whether or not the operator's condition corresponds to a predetermined operation behavior that causes an accident is acquired based on the information indicating the condition of the operator who operates the moving body. .. In the evaluation step, when the judgment result acquired in the operation status acquisition step corresponds to the predetermined operation behavior, the operator's operation is weighted according to the ratio of the number of accidents in the past. Evaluate behavior.

Here, when it is determined that there is an operator's condition (action) that causes an accident, the operator's condition is weighted according to the ratio of the number of accidents in the past, and the operator's operation is performed. Evaluate behavior.
Here, the moving body includes various moving bodies such as automobiles, buses, trucks, trains, bullet trains, linear motor cars, ships, aircraft, helicopters, Segways, and bicycles.

The operator includes a driver, an operator, an operator, and the like who drive, operate, and operate various moving objects.
Predetermined driving behavior is the state (action) of the operator that causes an accident, for example, looking aside, carelessness in front, calling, smartphone operation, eating and drinking, dozing, dangerous driving, long-time driving, sudden operation. , Excessive speed, temporary non-stop, ignoring traffic lights, slow-moving violation, left / right turn violation, railroad crossing non-stop, impact, etc.

Judgment as to whether or not it corresponds to a predetermined operation behavior is performed by, for example, an in-vehicle device mounted on a moving body, and the determination result may be obtained from the in-vehicle device or the like, or the operation obtained from the moving body. The operation evaluation device may make a judgment by itself based on the information of the person or the like.
The ratio of the number of accidents in the past is calculated from, for example, the data of the number of accidents in the most recent year, and it is preferable to use the data updated regularly. Further, the ratio of the number of accidents in the past may be stored in the storage unit provided in the operation evaluation device, or may be referred to the one stored in the external server, cloud space, or the like.

The evaluation of the driving behavior includes, for example, a method of expressing the superiority or inferiority of the driving behavior by a score, a method of expressing by ranks such as A, B, and C, and a method of expressing by pass / fail.
In addition, in the weighting performed when evaluating the operation behavior of the operator, for example, the weighting is increased for the operation behavior that is highly related to the number of accidents in the past, the operation behavior that is highly related to the fatal accident, and the like. Processing is conceivable.

As a result, the operator who operates the mobile body is weighted so that the evaluation ratio is high for the operation behavior that is highly related to the accident that occurred in the past, and whether or not the driving behavior is likely to cause an accident. Can be evaluated comprehensively.
As a result, it is possible to provide a program capable of appropriately comprehensively evaluating the operation behavior of the operator without extracting and analyzing the data of the excellent operator.

According to the operation evaluation device according to the present invention, it is possible to appropriately comprehensively evaluate the operation behavior of the operator without extracting and analyzing the data of the excellent driver.

The figure which shows the structure of the operation evaluation system including the operation evaluation apparatus which concerns on one Embodiment of this invention. The control block diagram which shows the structure of the on-board unit included in the operation evaluation system of FIG. The control block diagram which shows the structure of the operation evaluation apparatus included in the operation evaluation system of FIG. The figure which shows the type of the driving behavior by the driver evaluated by the driving evaluation device of FIG. (A) to (c) are graphs illustrating the calculation of evaluation points according to the frequency of occurrence for each driving behavior by the driver evaluated by the driving evaluation device of FIG. (A) and (b) are graphs explaining the occurrence frequency and the calculation of the evaluation points regarding the sudden braking by the driver and the evaluation of the swing angle at the intersection evaluated by the driving evaluation device of FIG. The figure which shows the weighting coefficient set according to the ratio of the number of traffic accident occurrences with respect to the driving behavior by the evaluated driver. FIG. 7 is a diagram showing a weighting coefficient set for driving behaviors of FIG. 7 focusing on driving behaviors having a predetermined occurrence rate or more. FIG. 7 is a diagram showing weighting coefficients set for each type of driving behavior classified for each violation of laws and regulations. The figure which shows the weighting coefficient set for each type which classified the driving behavior of FIG. 7 for each safe operation evaluation item. (A) to (c) are diagrams showing a display example of comprehensive evaluation of driving behavior by a driver evaluated by the driving evaluation device of FIG. The figure which shows the weighting coefficient set for each age of a driver with respect to the driving behavior of FIG. The flowchart which shows the processing flow of the driving evaluation method carried out on the vehicle-mounted device side included in the driving evaluation system of FIG. The flowchart which shows the process flow of the operation evaluation method carried out on the operation evaluation apparatus side included in the operation evaluation system of FIG. The control block diagram which shows the structure of the operation evaluation apparatus which concerns on other embodiment of this invention.

The operation evaluation system (operation evaluation system) 1 including the operation evaluation device (operation evaluation device) 10 and the operation evaluation method (operation evaluation method) according to the embodiment of the present invention will be described with reference to FIGS. It is as follows.

(1) Operation evaluation system 1
The driving evaluation system 1 of the present embodiment is a system for evaluating the driving behavior of the driver (operator) 3 of the vehicle (moving body) 2, and as shown in FIG. 1, the driving evaluation device 10 and one unit. Alternatively, the vehicle-mounted device 20 mounted on a plurality of vehicles 2 is provided.
Here, the vehicles driven by the driver 3 to be evaluated include, for example, a truck managed by a carrier, a bus managed by a bus operator, a taxi managed by a taxi operator, and a rental car managed by a rental car operator. This includes various vehicles managed by the business operator, such as car sharing vehicles managed by the car sharing business operator, training school vehicles managed by the automobile training school, and company-owned vehicles managed by the company.

The vehicle driven by the driver 3 to be evaluated may include a general vehicle driven by a general driver.
Then, in the main driving evaluation system 1, the driving evaluation device 10 receives the specific driving behavior determined by the on-board unit 20 and drives various vehicles using the data indicating the ratio of the number of past accidents described later. The driving behavior of the driver 3 is evaluated.

In the driving evaluation system 1, as shown in FIG. 1, the vehicle-mounted device 20, the administrator terminal 6, and the driving evaluation device 10 mounted on the plurality of vehicles 2 are connected to each other via the communication network 5. ..
The administrator terminal 6 is a PC (Personal Computer), a smartphone, a tablet terminal, or the like, and is used by a business operator or the like that manages the vehicle 2. Then, the manager terminal 6 displays the result of evaluating the driving behavior of the driver 3 of the vehicle 2 evaluated by the driving evaluation device 10 described later.

As a result, the manager who uses the manager terminal 6 urges the driver 3 of the vehicle 2 under control to drive safely based on the result of the driving evaluation by the driving evaluation device 10, and causes an accident. Appropriate guidance can be given to suppress it.
As shown in FIG. 1, the driving evaluation device 10 is connected to the vehicle-mounted device 20 mounted on the vehicle 2 and the administrator terminal 6 via the communication network 5. The communication network 5 may be, for example, wireless communication such as a wireless LAN (Local Area Network), or line communication via a communication cable.

As shown in FIG. 1, the operation evaluation device 10 includes a communication unit 11, a control unit (operation evaluation unit, intersection behavior determination unit) 12, and a storage unit 13. The detailed configuration of the operation evaluation device 10 will be described in detail later.
As shown in FIG. 1, the on-board unit 20 is mounted on the vehicle 2, and the state of the driver 3 of the vehicle 2 is determined by using the image taken by the camera 21. Then, the vehicle-mounted device 20 transmits the determined state of the driver 3 to the driving evaluation device 10. The detailed configuration of the on-board unit 20 will be described in detail later.

(2) On-board unit 20
As shown in FIG. 2, the on-board unit 20 includes a camera 21, a state determination device (operating state determination unit, moving object state determination unit) 22, an acceleration sensor 23, an angular velocity sensor 24, a GPS (Global Positioning System) reception unit 25, and the like. It has a communication unit 26 and a notification unit 27.
As shown in FIG. 1, the camera 21 is installed in front of the driver's seat of the vehicle 2, mainly captures an image including the upper body of the driver 3, and takes a driving evaluation device 10 via the communication network 5. Send to. Further, the camera 21 may be used to take an image of the external environment of the vehicle 2 (traffic light, sign, distance from the vehicle in front, weather, external environment such as an area). As a result, the operation evaluation device 10 can determine the violation of laws and regulations by using the captured image of the external environment.

As shown in FIG. 2, the state determination device 22 is connected to the camera 21 and the like, and determines the state of the driver 3 of the vehicle 2 by using an image or the like including the driver 3 received from the camera 21. Further, the state determination device 22 is connected to an acceleration sensor 23, an angular velocity sensor 24, etc. provided in the vehicle 2, and determines the state of the vehicle 2 by using the detected acceleration and angular velocity of the vehicle 2.
Here, the state of the driver 3 of the vehicle 2 determined by the state determination device 22 includes a change in the face direction of the driver 3, a change in the line-of-sight direction, an opening / closing degree of the eyes, and a variation feature amount of the eye closing rate / eye opening rate. , Predetermined facial events, etc. are included. Further, the state of the vehicle 2 determined by the state determination device 22 includes sudden acceleration, sudden deceleration, overspeed, sudden steering, passing through an intersection, the type of road being driven (general road, expressway, etc.), and vehicle 2. Impact etc. are included.

Then, as shown in FIG. 2, the state determination device 22 has a control unit 22a, a storage unit 22b, and an input / output I / F 22c.
As shown in FIG. 2, the control unit 22a is composed of a microcomputer including a CPU (Central Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only Memory). The control unit 22a receives the image taken by the camera 21, the acceleration sensor 23, and the acceleration and angular velocity of the vehicle 2 detected by the angular velocity sensor 24, performs various processes, and stores the data in the storage unit 22b. Let me. Then, the control unit 22a expands the program 22ba stored in the storage unit 22b into the RAM, reads various data stored in the storage unit 22b, and executes the program 22ba by the CPU. It is determined whether or not the state (action) of the driver 3 and the state of the vehicle 2 correspond to a predetermined driving action.

Specifically, the control unit 22a refers to the image data received from the camera 21, the acceleration sensor 23, and the data such as the acceleration and the angular velocity of the vehicle 2 received from the angular velocity sensor 24, and refers to the specific driving behavior shown in FIG. Judge whether or not it corresponds to.
Here, as shown in FIG. 4, the specific driving behavior for which it is determined whether or not it is applicable includes insufficient confirmation of the direction of travel, aside, lost face from the image, a call on a mobile phone, etc., and a smartphone operation. Eating and drinking, drowsiness / dozing / indiscriminate, driving, continuous driving, sudden steering, sudden braking, sudden acceleration, sudden start, overspeed, temporary non-stop, ignoring traffic lights, slowing duty violation, left / right turn violation, railroad crossing non-stop, impact It includes driving behavior that can be a factor in the occurrence of traffic accidents.

For example, for insufficient confirmation of the direction of travel by the driver 3, aside, lost face where the face of the driver 3 disappears from the image, a call on a mobile phone, smartphone operation, eating and drinking, drowsiness / doze / drowsiness, vehicle 2 Using the image including the driver 3 of the above, it is determined whether or not the case is applicable.
In addition, regarding road rage, temporary non-stop, neglect of traffic lights, violation of driving duty, violation of left / right turn, and non-stop of railroad crossing, the image of the external environment such as the front of the vehicle 2 and the vehicle 2 detected by the GPS receiver 25 Whether or not it is applicable is determined using the current position information, map information, and the like.

Further, it is determined whether or not continuous operation, sudden steering, sudden braking, sudden acceleration, sudden start, overspeed, and impact are applicable based on the detection results of the acceleration sensor 23 and the angular velocity sensor 24.
The storage unit 22b is, for example, a storage means such as a semiconductor memory, and stores the program 22ba, the image taken by the camera 21, the acceleration sensor 23, the acceleration and angular velocity data detected by the angular velocity sensor 24, and the like.

The program 22ba may be stored in the ROM on the control unit 22a side.
The input / output I / F 22c transmits / receives data and various signals to / from various devices such as the camera 21, the acceleration sensor 23, and the angular velocity sensor 24.
The acceleration sensor 23 is a sensor that detects the acceleration of the vehicle 2, and for example, detects the acceleration in the three axial directions of XYZ. Then, the acceleration sensor 23 transmits the detected acceleration data of the vehicle 2 to the state determination device 22.

The angular velocity sensor 24 is, for example, a gyro sensor that detects the rotational angular velocity of the vehicle 2, and detects the rotational (turning) angular velocity in the left-right direction when the vehicle 2 turns. Then, the angular velocity sensor 24 transmits the detected angular velocity data of the vehicle 2 to the state determination device 22. When a gyro sensor is used for the angular velocity sensor 24, it may be a vibration type gyro sensor, or an optical type or a mechanical type gyro sensor.

As shown in FIG. 2, the GPS receiving unit 25 has an antenna 25a, receives a GPS signal from an artificial satellite via the antenna 25a, and detects the current position (latitude, longitude, etc.) of the vehicle 2. .. Then, the current position information of the vehicle 2 detected by the GPS receiving unit 25 is transmitted to the storage unit 22b of the state determination device 22 and stored in the storage unit 22b.
As shown in FIG. 2, the communication unit 26 has an antenna 26a, and uses radio waves emitted from the antenna 26a to transmit and receive radio waves to and from the outside via the communication network 5. That is, the communication unit 26 transmits various data including the state of the driver 3 of the vehicle 2 and the state of the vehicle 2 determined by the state determination device 22 to the driving evaluation device 10.
As shown in FIG. 2, the notification unit 27 is connected to the state determination device 22, and according to the state of the driver 3 of the vehicle 2 determined by the state determination device 22, for example, a predetermined warning sound or message. Etc.

(3) Operation evaluation device 10
As shown in FIG. 1, the operation evaluation device 10 of the present embodiment is connected to the vehicle-mounted device 20 mounted on the vehicle 2 via the communication network 5. Then, the driving evaluation device 10 performs weighting calculated by the ratio of the number of accidents in the past based on the determination result regarding the state of the driver 3 of the vehicle 2 received from the vehicle-mounted device 20, and determines the driving behavior of the driver 3. Make an evaluation. As shown in FIG. 3, the operation evaluation device 10 includes a communication unit (operation status acquisition unit, operator information acquisition unit, moving object data acquisition unit, attribute acquisition unit) 11, a control unit 12 (operation evaluation unit), and the like. It includes a storage unit 13.

The communication unit 11 acquires a determination result regarding the state of the driver 3 of the vehicle 2, information on the driver 3, data on the vehicle 2, and data on the attributes of the driver 3 and the vehicle 2. Then, as shown in FIG. 3, the communication unit 11 is connected to the control unit 12 via the communication bus 14, and transmits various data as a determination result received from the vehicle-mounted device 20 to the control unit 12.
The control unit 12 receives a determination result regarding the state of the driver 3 of the vehicle 2, information on the driver 3, data on the vehicle 2, data on the attributes of the driver 3 and the vehicle 2, etc. from the vehicle-mounted device 20 via the communication unit 11. Is received and stored in the storage unit 13. Then, the control unit 12 weights the driving behavior of the vehicle 2 and the driver 3 according to the ratio of the number of accidents in the past, and evaluates the driving behavior of the driver 3.

Specifically, as shown in FIG. 3, the control unit 12 includes an evaluation point calculation unit 12a, a comprehensive evaluation unit 12b, an evaluation result output unit 12c, and a display unit 12d.
The evaluation point calculation unit 12a calculates an evaluation point for each driving behavior determined to correspond to a specific driving behavior by the state determination device 22 on the vehicle-mounted device 20 side.
In the driving evaluation device 10 of the present embodiment, as shown in FIGS. 5A to 5C, the evaluation points of the driving behavior calculated for each driving behavior are within a predetermined time (for example, 1). Calculate according to the frequency of occurrence in time).

For example, as shown in FIG. 5A, the evaluation point calculation unit 12a linearly deducts points from 100 points to 0 points until the frequency of occurrence in one hour reaches a predetermined threshold value (a times). Is calculated as an evaluation point for the driving behavior.
In addition, instead of the evaluation point graph shown in FIG. 5A, as shown in FIG. 5B, a graph in which the evaluation points gradually decrease as the frequency of occurrence of a specific driving behavior increases is used. good. Alternatively, as shown in FIG. 5C, a graph in which the evaluation points decrease in a quadratic curve as the frequency of occurrence increases may be used.

Further, in FIG. 6A, "sudden braking" is mentioned as a specific driving behavior, and the frequency of occurrence of "sudden braking" (vertical bar graph) and the corresponding evaluation points (line graph) are shown as the occurrence of "sudden braking". It is shown using the population distribution of frequency.
FIG. 6B cites "evaluation of the driver's swing angle at an intersection" as a specific driving behavior, and the frequency of unimplemented "driver's swing at an intersection (safety confirmation behavior)" (vertical bar graph). , The corresponding evaluation points (line graph) are shown using the group distribution of the frequency of occurrence of "evaluation of the driver's swing angle at an intersection".

In addition, in FIG. 6A and FIG. 6B, the “average ± 3SD (Standard deviation)” in which the evaluation score is 0 or 100 covers 99.7% of the total measured values.
Thereby, by using the graphs shown in FIGS. 6 (a) and 6 (b), the evaluation points can be calculated for each driving behavior received from the on-board unit 20 in consideration of the group characteristics of the occurrence frequency. ..

The driving evaluation device 10 of the present embodiment pays particular attention to the driving behavior of the driver 3 at an intersection where a traffic accident is likely to occur, and performs a safety confirmation act such as swinging the driver 3 of the vehicle 2 when passing through the intersection. The presence or absence, the number of times, etc. are detected and evaluated.
The actions of the driver of the vehicle 2 passing through the intersection shall be detected by using an image of the outside of the vehicle 2 taken by the camera 21 mounted on the vehicle 2 and an image of the driver 3 when passing through the intersection. Can be done.

The position information when passing through the intersection can be acquired by using GPS (Global Positioning System), map information, or the like.
As a result, the control unit 12 detects whether or not the action of the driver 3 of the vehicle 2 passing through the intersection received from the vehicle-mounted device 20 via the communication network 5 and the communication unit 11 corresponds to a predetermined driving action. This makes it possible to evaluate the safety confirmation behavior of the driver 3 when the vehicle 2 operates at the intersection.

The comprehensive evaluation unit 12b is a weighting coefficient set according to the ratio of the number of accidents in the past to the evaluation points for each driving behavior calculated by the evaluation point calculation unit 12a according to the frequency of occurrence within a predetermined time. Is used for weighting.
The weighting coefficient referred to by the comprehensive evaluation unit 12b is set using the table shown in FIG. 7. That is, FIG. 7 shows, for example, the statistical information compiled by the National Police Agency (the occurrence status of traffic accidents during 2017), and shows the most recent past 1 regarding the driving behavior determined to have occurred on the on-board unit 20 side. Weighting factors are set in descending order of the number of traffic accidents that occur each year.

Specifically, as shown in FIG. 7, the weighting coefficient is applied to "safety unconfirmed" (the number of traffic accidents is 137,214, and the ratio of all traffic accidents is 31.44%), which has the highest occurrence rate. 0.3144 is set.
A weighting coefficient of 0.1599 is set for "aside driving" (69,815 traffic accidents, 15.99% of all traffic accidents), which has the second highest incidence.

A weighting coefficient of 0.1158 is set for "movement inattention" (50,567 traffic accidents, 11.58% of all traffic accidents), which has the third highest incidence.
A weighting coefficient of 0.0879 is set for "involuntary driving" (38,350 traffic accidents, 8.79% of all traffic accidents), which has the next highest rate.
A weighting coefficient of 0.0675 is set for "inappropriate driving operation" (29,475 traffic accidents, 6.75% of all traffic accidents), which has the next highest incidence.

A weighting coefficient of 0.0635 is set for "intersection safety progress" (27,724 traffic accidents, 6.35% of all traffic accidents), which has the next highest rate of occurrence.
A weighting coefficient of 0.0412 is set for "temporary non-stop" (17,990 traffic accidents, 4.12% of all traffic accidents), which has the next highest incidence.
A weighting coefficient of 0.0311 is set for "ignore signals" (13,590 traffic accidents, 3.11% of all traffic accidents), which has the next highest rate of occurrence.

A weighting coefficient of 0.0286 is set for "pedestrian obstruction, etc." (12,487 traffic accidents, 2.86% of all traffic accidents), which has the next highest incidence.
A weighting coefficient of 0.0257 is set for "priority traffic obstruction" (11,198 traffic accidents, 2.57% of all traffic accidents), which has the next highest incidence.
A weighting coefficient of 0.0133 is set for "safe driving obligations and others" (5,804 traffic accidents, 1.33% of all traffic accidents), which has the next highest rate.

Below, "Driving violation", "Crossing / turning, etc.", "Traffic classification", "Left turn violation", "Safe speed", "Right turn violation", "Overtaking", "Maximum speed limit", Similarly, a weighting coefficient is set according to the occurrence rate for "overworked driving", "drinking / drunk driving", "improper maintenance", "railroad crossing non-stop", and the like.
Therefore, the comprehensive evaluation unit 12b calculates the comprehensive evaluation score using the following relational expression (1).

Comprehensive evaluation point = Safety unconfirmed evaluation point x 0.3144 + Sideways driving evaluation point x 0.1599 + Movement inattention evaluation point x 0.1158 + ... + Railroad crossing non-stop evaluation point x 0.00003 (1)

In this relational expression (1), the ratio of the number of accidents set in the table shown in FIG. 7 to the evaluation points for each driving behavior calculated by the evaluation point calculation unit 12a described above according to the frequency of occurrence. After multiplying by the weighting coefficient, add them to calculate the total evaluation score.
As a result, the evaluation point of the driving behavior in which the occurrence within the predetermined time is 0 times becomes 100, and the evaluation point 100 becomes a value according to the ratio of the number of accidents by the weighting coefficient. Then, by multiplying the evaluation points by the weighting coefficient for all driving behaviors as the overall evaluation points, the driver 3 who has a higher frequency of driving behaviors that are likely to lead to an accident is evaluated so that the score becomes lower. be able to.

The ratio of the number of accidents in the past shown in FIG. 7 and the weighting coefficient set accordingly are updated for each elapse of a predetermined period (for example, one year) and for each external environment such as season, region, and weather. May be good.
As a result, the comprehensive evaluation unit 12b multiplies the evaluation points for each driving behavior calculated according to the frequency of occurrence of one or more driving behaviors by the specific driver 3 that occurred within the predetermined time by a weighting coefficient. , A comprehensive evaluation of the driving behavior of the driver 3 can be performed.

That is, in the driving evaluation device 10 of the present embodiment, the weighting coefficient set according to the ratio of the number of accidents in the past is used for the driving behavior determined to correspond to the driver 3 of the vehicle 2 within the predetermined time. , Driving behavior is evaluated.
As a result, by using a weighting coefficient set so that the weighting becomes larger as the driving behavior is more likely to cause an accident, the evaluation can be performed so that the driver 3 who is more likely to perform the driving behavior leading to the accident can be easily understood. can.

As a result, the evaluation of the driving behavior by the driver 3 can be quantitatively carried out in consideration of the number of accidents without comparing with a good driver. Therefore, for example, the manager of a delivery company or the like that manages the vehicle 2 such as a truck can give appropriate guidance to the driver 3 according to the comprehensive evaluation points.
In addition, among the driving behaviors shown in FIG. 7, the weighting coefficient may be set by excluding the driving behaviors in which the occurrence rate is a predetermined rate (for example, 1% or less).

In this case, create a table (see FIG. 8) limited to driving behaviors from "safety unconfirmed", which has the highest occurrence rate, to "safe driving obligation, etc.", which has an occurrence rate of 1.33%. Just do it.
As a result, as shown in FIG. 8, the weighting coefficient can be reset by using a table in which the occurrence rate is limited to driving behaviors having a predetermined rate or more.
Therefore, the comprehensive evaluation unit 12b calculates the comprehensive evaluation score using the following relational expression (2).

Comprehensive evaluation point = Safety unconfirmed evaluation point x 0.3313 + Sideways driving evaluation point x 0.1685 + Movement careless evaluation point x 0.1221 + ... + Safe driving obligation (others) x 0.014 ...・ (2)

In this relational expression (2), the ratio of the number of accidents set in the table shown in FIG. 8 to the evaluation points for each driving behavior calculated by the evaluation point calculation unit 12a described above according to the frequency of occurrence. After multiplying by the weighting coefficient, add them to calculate the total evaluation score.
As a result, the driving behaviors for which the evaluation points are calculated by the comprehensive evaluation unit 12b are limited, and the driving behaviors that do not have a great influence on the comprehensive evaluation points due to the low occurrence rate are excluded. The point calculation process can be efficiently performed without deteriorating the accuracy.
The evaluation result output unit 12c transmits the calculation result of the evaluation point of the driving behavior by the driver 3 calculated by the comprehensive evaluation unit 12b to the communication unit 11, the storage unit 13, and the display unit 12d via the communication bus 14. ..

The display unit 12d is provided in the control unit 12 of the driving evaluation device 10, and displays the calculation result of the evaluation points of the driving behavior by the driver 3 calculated by the comprehensive evaluation unit 12b. The evaluation result displayed on the display unit 12d is also transmitted to the notification unit 27 of the vehicle-mounted device 20 and the display unit of the administrator terminal 6 via the communication unit 11 and the communication network 5.
As a result, the driver 3 can improve the driving behavior by recognizing the evaluation result of his / her driving behavior by the display or voice on the notification unit 27.

Further, in the manager terminal 6, the manager can recognize the evaluation points of the respective drivers 3 of the plurality of vehicles 2 that are being managed. Therefore, the manager can instruct each driver 3 to grasp the characteristics of driving and encourage safe driving so that an accident does not occur.
As shown in FIG. 3, the storage unit 13 has a detection data storage unit 13a, an evaluation condition storage unit 13b, and an evaluation result storage unit 13c.

The detection data storage unit 13a communicates image data, acceleration data, angular velocity data, current position information, etc. captured / detected by the camera 21, acceleration sensor 23, angular velocity sensor 24, GPS receiving unit 25, etc. on the vehicle-mounted device 20 side. It is received from the vehicle-mounted device 20 via the network 5 and the communication unit 11 and stored.
The evaluation condition storage unit 13b is a table used in the evaluation point calculation unit 12a described above for calculating evaluation points according to the frequency of occurrence, and a table of weighting coefficients set in the comprehensive evaluation unit 12b according to the number of past accidents. To save.

The evaluation result storage unit 13c stores the comprehensive evaluation points of each driver 3 calculated by the comprehensive evaluation unit 12b as evaluation results.
As a result, the manager or the like can refer to the result of the past operation evaluation by reading from the evaluation result storage unit 13c.
As shown in FIG. 9, the weighting coefficient set by using the table shown in FIG. 7 or 8 may be classified according to the type of violation of laws and regulations and set in each type.

For example, as shown in FIG. 9, legal violations are classified into three categories: driving operation performance, safety concentration condition, and compliance, and each classification is based on the total value of the traffic accident occurrence rates for legal violations that apply to each category. A weighting coefficient may be set in.
For example, as shown in FIG. 9, the driving operation performance item includes legal violations such as improper driving operation, pedestrian obstruction, priority traffic obstruction, crossing / turning, etc., maintaining safe speed, overtaking, and exceeding the maximum speed. ing. Then, a weighting coefficient of 0.1409 is set according to 14.09%, which is the total of the ratio of the number of accidents that violate these laws and regulations.

The driving behavior corresponding to this item includes sudden steering, sudden braking, sudden acceleration, sudden start, overspeed, and the like.
In addition, as shown in FIG. 9, the items of the concentrated safety condition include violations of laws and regulations such as unconfirmed safety, safe progress at intersections, sideways driving, inattention to movement, and inattentive driving. Then, a weighting coefficient of 0.7415 is set according to 74.15%, which is the total of the ratio of the number of accidents that violate these laws and regulations.

The driving behavior corresponding to this item includes aside, drowsiness, eating and drinking, insufficient intersection confirmation angle, insufficient intersection confirmation time, excessive intersection passing speed, and the like.
Furthermore, as shown in Fig. 9, the compliance items include temporary non-stop, ignoring traffic lights, safe driving obligations, slow-moving violations, traffic classification, left turn violations, right turn violations, drunken / drunk driving, poor maintenance, railroad crossings. It includes violations of laws and regulations such as non-stop and overworked driving. Then, a weighting coefficient of 0.1176 is set according to 11.76%, which is the total ratio of the number of accidents that violate these laws and regulations.
The driving behavior corresponding to this item includes tilting driving, call / smartphone operation, total driving time, total mileage, continuous driving, and the like.
Therefore, the comprehensive evaluation unit 12b calculates the comprehensive evaluation score using the following relational expression (3).

Comprehensive evaluation score = Driving performance evaluation score x 0.1409 + Safety intensive condition evaluation score x 0.7415 + Compliance evaluation score x 0.1176 ... (3)

In this relational expression (3), the number of accidents set for each type in the table shown in FIG. 9 with respect to the evaluation points for each driving behavior calculated by the evaluation point calculation unit 12a described above according to the frequency of occurrence. After multiplying by the weighting coefficient according to the ratio of, add them to calculate the total evaluation score.
The evaluation points for each of the above three types may be calculated by, for example, the following relational expression.
Compliance evaluation point = (Road rage evaluation point + Total driving time evaluation point + Total mileage evaluation point + Continuous operation evaluation point) / 4

Furthermore, as another classification method, as shown in FIG. 10, legal violations are classified into four categories: safety tendency, safety confirmation, driving concentration, and health / fatigue level, and the rate of traffic accidents that apply to each of the legal violations is determined. A weighting coefficient may be set for each classification according to the total value.
For example, as shown in FIG. 10, the safety-oriented items include unsuitable driving operation, safe progress at intersections, safe speed, maximum speed limit, temporary non-stop, signal neglect, pedestrian obstruction, priority traffic obstruction, safe driving obligation, etc. , Driving violations, crossing / turning, traffic classification, left turn violations, right turn violations, overtaking, poor maintenance, non-stop railroad crossings, and other legal violations are included. Then, a weighting coefficient of 0.3207 is set according to 32.07%, which is the total ratio of the number of accidents that violate these laws and regulations.

The driving behavior corresponding to this item includes sudden steering, sudden braking, sudden acceleration, sudden start, overspeed, and tilting driving.
Next, as shown in FIG. 10, the safety confirmation item includes a violation of laws and regulations such as non-confirmation of safety. Then, a weighting coefficient of 0.3144 is set according to 31.44%, which is the total of the number of accidents that violate these laws and regulations.

The driving behavior corresponding to this item includes insufficient intersection confirmation angle, insufficient intersection confirmation time, excessive intersection passing speed, and the like.
Next, as shown in FIG. 10, the item of concentration of driving includes violations of laws and regulations such as sideways driving and inattention to movement. Then, a weighting coefficient of 0.2758 is set according to 27.58%, which is the total ratio of the number of accidents that violate these laws and regulations.

The driving behavior corresponding to this item includes looking aside, talking on the phone, operating a smartphone, eating and drinking, and the like.
Next, as shown in FIG. 10, the items of health / fatigue degree include violations of laws and regulations such as involuntary driving, overworked driving, drunk driving, and drunk driving. Then, a weighting coefficient of 0.0892 is set according to 8.92%, which is the total of the number of accidents that violate these laws and regulations.
The driving behavior corresponding to this item includes drowsiness, total driving time, total mileage, continuous driving, and the like.
Therefore, the comprehensive evaluation unit 12b calculates the comprehensive evaluation score using the following relational expression (4).

Comprehensive evaluation point = Safety tendency evaluation point x 0.3207 + Safety confirmation evaluation point x 0.3144 + Driving concentration evaluation point x 0.2758 + Health / fatigue degree evaluation point x 0.0892 ... (4)

In this relational expression (4), the number of accidents set for each type in the table shown in FIG. 10 with respect to the evaluation points for each driving behavior calculated by the evaluation point calculation unit 12a described above according to the frequency of occurrence. After multiplying by the weighting coefficient according to the ratio of, add them to calculate the total evaluation score.
Here, the calculation result of the evaluation point of the driving behavior by the driver 3 displayed on the display unit 12d is displayed for each driver 3 as shown in FIGS. 11A to 11C.
For example, in FIG. 11A showing the evaluation of the driver A, the driving propensity was 100 points, the fatigue was 100 points, the driving concentration was 100 points, and the safety confirmation was 90 points. Then, 97 points are displayed on the display unit 12d as the total evaluation points by the calculation using the weighting coefficient set for each type.

Further, in FIG. 11B showing the evaluation of the driver B, the driving propensity was 100 points, the fatigue was 70 points, the driving concentration was 80 points, and the safety confirmation was 80 points. Then, 82 points are displayed on the display unit 12d as the total evaluation points by the calculation using the weighting coefficient set for each type.
Further, in FIG. 11C showing the evaluation of the driver C, the driving propensity was 100 points, the fatigue was 100 points, the driving concentration was 70 points, and the safety confirmation was 70 points. Then, 80 points are displayed on the display unit 12d as the total evaluation points by the calculation using the weighting coefficient set for each type.

As described above, in the operation evaluation device 10 of the present embodiment, the higher the ratio of accidents, the higher the importance, and the lower the ratio of accidents, the lower the importance, and the overall evaluation score is calculated. do.
As a result, the overall evaluation score can be calculated so that the evaluation points of the safety tendency and safety confirmation, which are likely to lead to an accident, have a large influence on the overall evaluation points as compared with the evaluation points of health / fatigue. In addition, by displaying each classification result, it is possible to recognize that the driving behavior types that require guidance are different and which driving behavior type should be improved even if the overall evaluation score is the same. ..

The evaluation result of the driving evaluation device 10 is displayed on the display unit 12d of the driving evaluation device 10 and transmitted to the vehicle-mounted device 20 and the administrator terminal 6.
As a result, the driver 3 of the vehicle 2 can recognize the evaluation of his / her driving by a method such as a voice message, a warning sound, and a message display emitted from the vehicle-mounted device 20 mounted on the vehicle 2.

In addition, the delivery company or the like that manages the vehicle 2 such as a truck confirms such a driving evaluation result by the manager terminal 6 and gives guidance to encourage each driver to drive safely. It can be carried out.
The weighting used for the evaluation of the driver in the driving evaluation device 10 of the present embodiment is calculated based on the above-mentioned data indicating the ratio of the number of traffic accidents, and as shown in FIG. A weighting coefficient may be calculated using data in which the ratio of the number of accidents is organized by age.

For example, focusing on legal violations (bold) with a traffic accident rate of 10% or more (weighting coefficient of 0.1 or more) at each age, signal ignoring, temporary non-stop, inappropriate driving operation, sideways driving, and safety at a young age There is unconfirmation.
On the other hand, as the age increases, the rate of traffic accidents is summarized into three violations of laws and regulations: sideways driving, inattentiveness, and unconfirmed safety.

Furthermore, as the elderly become older, the proportion of unsuitable driving operations increases at the cost of decreasing the proportion of inattentive movements among the three violations of laws and regulations: sideways driving, inattentiveness of movement, and unconfirmed safety.
As described above, since the occurrence rate of traffic accidents differs depending on the age, it is possible to perform an appropriate evaluation in consideration of the age of the driver 3 by taking the age factor into consideration when setting the weighting coefficient.

Information on the attributes of the driver 3 such as the age of the driver 3 may be input by the administrator from the administrator terminal 6 or may be input by the driver 3 from the on-board unit 20.
The driving evaluation device 10 can evaluate the driving behavior of the driver 3 by setting the weighting coefficient shown in FIG. 12 using the input age information of the driver 3.

<Driving evaluation method>
In the operation evaluation system 1 of the present embodiment, the operation evaluation method is implemented according to the flowcharts shown in FIGS. 13 and 14 according to the above-described configuration.
The flowchart of FIG. 13 shows the processing in the vehicle-mounted device 20 included in the operation evaluation system 1. Further, the flowchart shown in FIG. 14 shows the processing in the operation evaluation device 10 included in the operation evaluation system 1.
That is, as shown in FIG. 13, in step S11, information for determining whether or not the driving behavior of the driver 3 of the vehicle 2 corresponds to a predetermined driving behavior is acquired.

The information acquired here includes, for example, image data taken by the camera 21 mounted on the vehicle 2, acceleration data of the vehicle 2 detected by the acceleration sensor 23, and vehicle 2 detected by the angular velocity sensor 24. The angular velocity data of the vehicle 2, the current position information of the vehicle 2 detected by the GPS receiving unit 25, and the like are included.
Next, in step S12, the state determination device 22 determines whether or not it corresponds to a predetermined driving behavior by using the information acquired in step S11.

Here, if the predetermined driving behavior is applicable, the process proceeds to step S13, and if not applicable, the process returns to step S11.
As described above, as shown in FIG. 4, the predetermined driving behavior includes insufficient confirmation of the direction of travel, aside, lost face from the image, a call on a mobile phone, smartphone operation, eating and drinking, drowsiness / dozing.・ Involuntary, tilting, continuous driving, sudden steering, sudden braking, sudden acceleration, sudden start, overspeed, temporary non-stop, signal ignoring, slow-moving obligation violation, left / right turn violation, railroad crossing non-stop, impact, etc. Includes driving behavior that can be a factor in the occurrence of traffic accidents.

Next, in step S13, the state determination device 22 stores the driving behavior determined to be applicable in the storage unit 22b.
Next, in step S14, the vehicle-mounted device 20 transmits the driving behavior determined to be applicable to the driving evaluation device 10 via the communication unit 26 and the communication network 5.
Subsequently, with reference to FIG. 14, the processing on the side of the driving evaluation device 10 that has received the driving behavior determined to be applicable from the vehicle-mounted device 20 will be described as follows.

That is, as shown in FIG. 14, in step S21, it is determined whether or not the driving evaluation device 10 has received the driving action from the vehicle-mounted device 20 via the communication unit 11.
Here, the driver waits until the information on the driving behavior is received, and when the information is received, the process proceeds to step S22.
Next, in step S22, the evaluation point calculation unit 12a of the control unit 12 detects the frequency of occurrence of the driving behavior received from the vehicle-mounted device 20 within a predetermined time.

Next, in step S23, the evaluation point calculation unit 12a calculates the evaluation point based on the frequency of occurrence of the driving behavior within a predetermined time. The evaluation points are calculated for each driving action received from the vehicle-mounted device 20.
Next, in step S24, for all the received driving behaviors of the specific driver 3, the comprehensive evaluation unit 12b sets a weighting coefficient according to the data indicating the ratio of the number of accidents in the past in step S23. Multiply the calculated evaluation points and add them to calculate the total evaluation points.

Next, in step S25, the control unit 12 stores the driving behavior and evaluation results (evaluation points and total evaluation points) received from the vehicle-mounted device 20 in the evaluation result storage unit 13c of the storage unit 13.
Next, in step S26, the control unit 12 causes the display unit 12d to display the evaluation result of the specific driver 3 stored in the storage unit 13.
At this time, the evaluation result of the driver 3 is transmitted to the vehicle-mounted device 20 and the administrator terminal 6 via the communication unit 11 and the communication network 5.

[Other Embodiments]
Although one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the gist of the invention.

(A)
In the above-described embodiment, an example in which the present invention has been realized has been described as an operation evaluation device and an operation evaluation system. However, the present invention is not limited to this.
For example, the present invention may be realized as an operation evaluation program in which a computer executes the above-mentioned operation evaluation method.

This operation evaluation program is stored in a memory (storage unit) mounted on the operation evaluation device, and the CPU reads the operation evaluation program stored in the memory and causes the hardware to execute each step. More specifically, the CPU reads the operation evaluation program, and the above-mentioned operation state acquisition unit, operation evaluation unit, operator information acquisition unit, evaluation point calculation unit, moving object data acquisition unit, moving object state determination unit, and intersection. The same effect as described above can be obtained by forming each configuration of the action determination unit, the attribute acquisition unit, the storage unit, the display unit, and the like.
Further, the present invention may be realized as a recording medium in which an operation evaluation program is stored.

(B)
In the above embodiment, whether or not the state of the driver 3 and the vehicle 2 corresponds to the predetermined driving behavior of the driving evaluation device 10 based on the information indicating the states of the driver 3 and the vehicle 2 from the vehicle-mounted device 20 side. An example of receiving the determination result of determining the above and evaluating the driving behavior of the driver 3 has been described. However, the present invention is not limited to this.

For example, the operation evaluation device may determine whether or not the state of the operator corresponds to a predetermined operation behavior based on the information indicating the state of the operator acquired from the moving body.
In this case, as shown in FIG. 15, the control unit (operation evaluation unit) 112 of the operation evaluation device 110 is provided with the driver condition determination unit 112a and the vehicle condition determination unit 112b, and the driver condition determination unit 112b is provided. The 112a and the vehicle condition determination unit 112b may determine whether or not the condition of the driver or the vehicle corresponds to a predetermined driving behavior that causes an accident.

That is, the determination as to whether or not the state of the operator (driver) corresponds to the predetermined operation behavior may be performed on the on-board unit side or the operation evaluation device side.
When the operation evaluation device makes a determination, the communication unit 11 shown in FIG. 15 functions as an operator information acquisition unit, and the driver state determination unit 112a determines whether or not a predetermined driving action has occurred. You just have to judge.

(C)
In the above embodiment, an example in which the evaluation point calculation unit 12a calculates the evaluation point of each driving behavior based on the frequency of occurrence of the driving behavior within a predetermined time has been described. However, the present invention is not limited to this.
For example, the calculation of the evaluation point may be performed based on other parameters regardless of the frequency of occurrence of the operation behavior within the predetermined time.

(D)
In the above embodiment, an example of determining the state of the vehicle 2 (sudden acceleration, sudden steering, etc.) using the data such as the acceleration and the angular velocity of the vehicle acquired from the vehicle 2 has been described. However, the present invention is not limited to this.
For example, it may be an operation evaluation device that evaluates the operation without receiving the moving object data such as the acceleration of the moving object.

(E)
In the above embodiment, an example in which the intersection behavior determination unit 12c determines the safety confirmation behavior of the driver 3 at the intersection has been described. However, the present invention is not limited to this.
For example, when the moving body is a train, an aircraft, or the like, the operation evaluation may be performed without taking into consideration the safety confirmation behavior of the operator at the intersection.

(F)
In the above embodiment, the data indicating the ratio of the number of accidents in the past, the weighting coefficient calculated according to the data, and the storage unit (storage unit) 13 for storing the evaluation result in the operation evaluation device 10 are contained in the operation evaluation device 10. The explanation was given by giving an example provided in. However, the present invention is not limited to this.
For example, when these information are stored in an external server, cloud space, etc., and necessary information is acquired via a communication line to perform operation evaluation, there is no storage unit in the operation evaluation device. It may be.

(G)
In the above embodiment, an example of evaluating the driving behavior of the driver 3 of the vehicle 2 by using a weighting coefficient calculated for each preset driving behavior has been described. However, the present invention is not limited to this.
For example, for items whose driving behavior can be determined using the detection function (camera, acceleration sensor, angular velocity sensor, etc.) mounted on the vehicle, the driving behavior of the operator is determined using the weighting coefficient calculated for each driving behavior. You may evaluate it.

(H)
In the above embodiment, an example has been described in which the control unit 12 of the driving evaluation device 10 is provided with a display unit 12f for displaying the evaluation result of the driving behavior of the driver 3 of the vehicle 2. However, the present invention is not limited to this.
For example, the display unit for displaying the evaluation result of the operation behavior of the operator is not limited to the operation evaluation device side, but may be provided on the vehicle-mounted device side or the administrator terminal side.

(I)
In the above embodiment, an example in which the frequency of occurrence per hour is used when calculating the evaluation points for each specific driving behavior has been described. However, the present invention is not limited to this.
For example, the frequency of occurrence used in calculating the evaluation points is not limited to the time range of every hour, for example, the time range of every driving time of the vehicle, every 24 hours, every month, and the like. It may be.

(J)
In the above embodiment, an example in which the evaluation result by the operation evaluation device 10 is represented by a score has been described. However, the present invention is not limited to this.
For example, instead of the evaluation by points, the judgment may be made by other methods such as expressing by ranks such as A, B, and C, and expressing by pass / fail.

(K)
In the above embodiment, as shown in FIG. 12, a weighting coefficient used when evaluating the driving behavior of the driver 3 has been described with an example of setting according to the ratio of the number of traffic accidents by age. .. However, the present invention is not limited to this.
For example, in addition to age, a weighting coefficient may be set according to the ratio of the number of accidents aggregated by gender and occupation (truck driver, taxi driver, general driver, etc.).

(L)
In the above embodiment, vehicles such as trucks, buses, taxis, and passenger cars (including general vehicles, rental cars, car-sharing vehicles, and company-owned vehicles) are used as moving objects to be evaluated by the driver 3 of the vehicle 2. 2 has been described as an example. However, the present invention is not limited to this.

For example, the moving body may be a vehicle such as a truck, or various moving bodies such as a train, a bullet train, a linear motor car, a ship, an aircraft, a helicopter, a bicycle, or a Segway.

Since the operation evaluation device of the present invention has the effect of being able to appropriately comprehensively evaluate the operation behavior of the operator without extracting and analyzing the data of the excellent driver, the evaluation of the operator of various mobile objects is achieved. It is widely applicable to devices that perform the above.

1 Driving evaluation system (operation evaluation system)
2 Vehicle (moving body)
3 Driver (operator)
5 Communication network 6 Administrator terminal 10 Operation evaluation device (operation evaluation device)
11 Communication unit (operation status acquisition unit, operator information acquisition unit, mobile data acquisition unit, attribute acquisition unit)
12 Control unit (operation evaluation unit, intersection behavior judgment unit)
12a Evaluation point calculation unit 12b Comprehensive evaluation unit 12c Evaluation result output unit 12d Display unit 13 Storage unit 13a Detection data storage unit 13b Evaluation condition storage unit 13c Evaluation result storage unit 14 Communication bus 20 On-board unit 21 Camera 22 Status determination device (operating status) Judgment unit, moving body state judgment unit)
22a Control unit 22b Storage unit 22ba Program 22c Input / output I / F
23 Accelerometer 24 Angular velocity sensor 25 GPS receiving unit 25a Antenna 26 Communication unit 26a Antenna 27 Notification unit 110 Operation evaluation device 112 Control unit (operation evaluation unit)
112a Driver condition determination unit 112b Vehicle condition determination unit

Claims (24)

It is an operation evaluation device that evaluates the operation behavior of the operator who operates the mobile body.
Acquire the operation state acquisition of determining whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident based on the information indicating the state of the operator who operates the moving body. Department and
When the determination result acquired by the operation state acquisition unit corresponds to the predetermined operation behavior of the operator, the operator is weighted according to the ratio of the number of accidents in the past. The operation evaluation department that evaluates operation behavior and
Operation evaluation device equipped with. Further, an operator information acquisition unit for acquiring information indicating the state of the operator from the moving body is provided.
The operation evaluation device according to claim 1. Based on the information indicating the state of the operator acquired by the operator information acquisition unit, the operation state acquisition unit indicates whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident. To judge
The operation evaluation device according to claim 2. When the determination result corresponds to the predetermined operation behavior, an evaluation point calculation unit for calculating the evaluation point of the operator for each operation behavior is further provided.
The operation evaluation device according to any one of claims 1 to 3. The evaluation point calculation unit calculates the evaluation point based on the frequency of occurrence of the operation behavior in a predetermined time.
The operation evaluation device according to claim 4. The operation evaluation unit multiplies the evaluation points calculated by the evaluation point calculation unit by a weighting coefficient for performing the weighting to calculate the overall evaluation points of the operator, and the operation behavior of the operator. To evaluate,
The operation evaluation device according to claim 4 or 5. Further, it is provided with a moving body data acquisition unit that acquires information on the speed, acceleration, and angular velocity of the moving body during operation.
The operation evaluation device according to any one of claims 1 to 6. A mobile body state determination unit that determines the state of the mobile body by using the information about the mobile body acquired by the mobile body data acquisition unit is further provided.
The operation evaluation device according to claim 7. Further, an intersection action determination unit for determining the safety confirmation action of the operator when the moving body operates the intersection is provided.
The operation evaluation device according to any one of claims 1 to 8. It further includes data indicating the ratio of the number of accidents in the past, a weighting coefficient calculated according to the data, and a storage unit for storing the evaluation result in the operation evaluation unit.
The operation evaluation device according to any one of claims 1 to 9. The data showing the ratio of the number of accidents in the past is updated to the latest data every predetermined period.
The operation evaluation device according to any one of claims 1 to 10. The data showing the ratio of the number of accidents in the past is stored for each external environment including season, weather, and region.
The operation evaluation device according to any one of claims 1 to 11. The operation evaluation unit evaluates the operation behavior of the operator by using the weighting coefficient calculated for each operation behavior for the operation behavior in which the ratio of the number of occurrences in the past is equal to or more than a predetermined ratio.
The operation evaluation device according to any one of claims 1 to 12. The operation evaluation unit evaluates the operation behavior of the operator by using the weighting coefficient calculated for each operation behavior for the items whose operation behavior can be determined by using the detection function mounted on the moving body. do,
The operation evaluation device according to any one of claims 1 to 13. The operation evaluation unit classifies the operation behavior according to a predetermined type of violation of laws and regulations, and evaluates the operation behavior of the operator using a weighting coefficient calculated for each operation behavior.
The operation evaluation device according to any one of claims 1 to 14. The operation evaluation unit classifies the operation behavior into predetermined safe operation evaluation items, and evaluates the operation behavior of the operator using the weighting coefficient calculated for each operation behavior.
The operation evaluation device according to any one of claims 1 to 15. The operation evaluation unit evaluates the operation behavior of the operator using a weighting coefficient calculated according to the number of fatal accidents in the past.
The operation evaluation device according to any one of claims 1 to 16. Further, an attribute acquisition unit for acquiring information on the attributes of the operator and the moving body is provided.
The operation evaluation device according to any one of claims 1 to 17. The operation evaluation unit evaluates the operation behavior of the operator by using the weighting coefficient calculated according to the attributes of the operator and the moving body acquired by the attribute acquisition unit.
The operation evaluation device according to claim 18. The prescribed driving behavior includes aside, carelessness in front, calling, smartphone operation, eating and drinking, dozing, dangerous driving, long-time driving, sudden operation, overspeed, temporary non-stop, signal ignoring, slow-moving violation, left turn / right turn violation. , Railroad crossing non-stop, includes at least one of the impacts,
The operation evaluation device according to any one of claims 1 to 19. Further, a display unit for displaying the evaluation result of the operation behavior of the operator in the operation evaluation unit is provided.
The operation evaluation device according to any one of claims 1 to 20. The operation evaluation device according to any one of claims 1 to 21 and the operation evaluation device.
An on-board unit mounted on the mobile body and communicating with the operation evaluation device, and
Operation evaluation system equipped with. It is an operation evaluation method that evaluates the operation behavior of the operator who operates the mobile body.
Acquire the operation state acquisition of determining whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident based on the information indicating the state of the operator who operates the moving body. Steps and
When the determination result acquired in the operation state acquisition step corresponds to the predetermined operation behavior of the operator, the operator is weighted according to the ratio of the number of accidents in the past. Evaluation steps to evaluate driving behavior and
Operation evaluation method equipped with. It is an operation evaluation program that evaluates the operation behavior of the operator who operates the mobile body.
Acquire the operation state acquisition of determining whether or not the state of the operator corresponds to a predetermined operation behavior that causes an accident based on the information indicating the state of the operator who operates the moving body. Steps and
When the determination result acquired in the operation state acquisition step corresponds to the predetermined operation behavior of the operator, the operator is weighted according to the ratio of the number of accidents in the past. Evaluation steps to evaluate driving behavior and
An operation evaluation program that allows a computer to execute an operation evaluation method equipped with.

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