JP2021131758A - Driving assistance system, driving assistance method, and driving assistance program - Google Patents

Abstract

To provide a driving assistance system capable of accurately estimating a factor of sudden braking.SOLUTION: A driving assistance system comprises: a storage section for storing a learning model learning a plurality of supervisor data indicating a relation between braking operation information indicating a braking operation performed in a vehicle being traveled on a road and braking reason information indicating a reason why the braking operation is performed; an acquisition section which acquires vehicle operation information relating to operations of the vehicle with the passage of time; and an identification section which uses the learning model to identify the braking reason information indicating the reason why the braking operation is performed on the road and braking position information indicating a position where the braking operation is performed on the basis of the braking operation information indicating the braking operation which is acquired from the braking operation information and performed in the vehicle.SELECTED DRAWING: Figure 1

Description

The present invention relates to a driving assistance system, a driving assistance method, and a driving assistance program.

Conventionally, there is known a system that detects a change in acceleration due to sudden braking when a vehicle is running and detects that an accident or a preliminary situation has occurred in the vehicle.
Patent Document 1 below discloses a driving support system that detects sudden braking and estimates whether the factor that causes a preliminary situation of an accident is an environmental factor or a driver's driving skill. There is.

Japanese Unexamined Patent Publication No. 2016-71492

However, there are various factors that cause braking, and various reasons such as temporary reasons and continuous reasons can be considered. Therefore, it is desirable to estimate the cause of braking in a cross-sectional and multifaceted manner. It is also desirable to discover unknown risk factors.
Further, depending on the cause of the brake, if the vehicle can be driven carefully, a detour may be required, and it is necessary to switch the operation of the travel support system.
In the conventional driver assistance system, there is room for improvement in accurately estimating the cause of sudden braking.

Therefore, an object of the present invention is to provide a driving support system, a driving support method, and a driving support program capable of accurately estimating the cause of sudden braking.

One aspect of the driving support system learns a plurality of teacher data indicating the relationship between the braking operation information indicating the braking operation performed in the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation. A braking operation indicating the braking operation performed in the vehicle acquired from the braking operation information by using the storage unit that stores the learned learning model, the acquisition unit that acquires the vehicle operation information related to the vehicle operation over time, and the learning model. Based on the information, the brake reason information indicating the reason why the braking operation is performed on the road and the specific unit for specifying the braking position information indicating the position where the braking operation is performed are provided.

One aspect of the driving support system may include an output unit that outputs braking reason information and braking position information specified by the specific unit to the outside.

In one aspect of the driving support system, the output unit may output the braking reason information and the braking position information specified by the specific unit to the road manager who manages the road.

In the driving support system of one aspect, the teacher data of the learning model includes the driving environment information indicating the environment in which the vehicle has traveled at the time when the braking operation indicated by the braking operation information is performed, and the specific unit travels together with the braking operation information. The braking reason information and the braking position information may be specified by using the environmental information.

In one aspect of the driving support system, a reception unit that receives input of a front image of the front of the vehicle taken from the photographing device is provided, and the driving environment information is the front of the vehicle at the time when the braking operation indicated by the braking operation information is performed. The specific unit may specify the braking reason information and the braking position information by using the braking operation information and the front image when the vehicle is traveling, including the captured front image.

In one aspect of the driver assistance system, the driving environment information may include at least one of the driving time, the weather, the driving history of the driver, and the road slope, curve, and road width information included in the map information.

In one aspect of the driver assistance system, the acquisition unit includes the vehicle operation information in the probe information including the position information regarding the position of the vehicle traveling on the road and the time information regarding the time when the vehicle acquires the position information. It may be acquired in a state where it has been removed.

In one aspect of the driving support method, a plurality of teachers showing the relationship between the braking operation information indicating the braking operation performed on the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation by the computer. A storage step for storing a learning model in which data is learned, an acquisition step for acquiring vehicle operation information related to vehicle operation over time, and a braking operation performed on a vehicle acquired from braking operation information using the learning model. Based on the indicated braking operation information, the braking reason information indicating the reason why the braking operation is performed on the road and the specific step for specifying the braking position information indicating the position where the braking operation is performed are executed.

In one aspect of the driving support program, a plurality of teachers showing the relationship between the braking operation information indicating the braking operation performed on the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation on the computer. Using the learning model, the storage function that stores the learning model that learned the data, the acquisition function that acquires the vehicle operation information related to the operation of the vehicle over time, and the braking operation performed in the vehicle acquired from the braking operation information are performed. Based on the indicated braking operation information, the braking reason information indicating the reason why the braking operation is performed on the road and the specific function for specifying the braking position information indicating the position where the braking operation is performed are realized.

In the driving support system of the present invention, the storage unit stores a learning model that learns the relationship between the braking operation information indicating that the braking operation has been performed and the braking reason information indicating the reason for performing the braking operation. ing. Then, based on the braking operation information acquired by the acquisition unit, the specific unit determines the reason for the braking operation, which is the reason for performing the braking operation using the learning model, and the braking position information indicating the position where the braking operation is performed. Identify. Thereby, the position where the braking operation is performed and the reason why the braking operation is performed can be specified.

Then, since the learning model obtained from the accumulation of past driving information is used, the cause of sudden braking can be accurately estimated.
Further, the driving support method and the driving support program of one aspect can exert the same effect as the driving support system of one aspect described above.

It is a schematic diagram of the driving support system which concerns on one Embodiment. It is a block diagram explaining the structure of the driving support system shown in FIG. It is a figure explaining the learning model used in this invention. It is a flowchart explaining the process in the processing part shown in FIG.

Hereinafter, an embodiment of the present invention will be described.
FIG. 1 is a schematic view of the driving support system 30 according to the embodiment.
The driver assistance system 30 is used together with the vehicle 10 and the server 20.
The vehicle 10 obtains the probe information of the own vehicle and transmits it to the server 20. Although only one vehicle 10 is shown in FIG. 1, there may be a plurality of vehicles 10.
The server 20 stores, for example, a plurality of probe information. Specifically, the server 20 is a traffic information collecting device that stores a plurality of probe information transmitted from one or a plurality of vehicles 10.

The driving support system 30 is, for example, a device suitable for processing so-called big data and capable of processing a large amount of information, and has a function of mainly estimating and outputting the reason for braking.
When a destination is set, the navigation device (not shown) mounted on the vehicle 10 guides the route to the destination. The driving support system 30 causes the navigation device to display the processing content by performing wireless communication with the navigation device.

Next, the driving support system 30 will be described in detail with reference to FIG.
FIG. 2 is a block diagram illustrating the configuration of the driving support system 30.
As shown in FIG. 2, the driving support system 30 includes a communication unit 40, a storage unit 50, and a processing unit 100.

The communication unit 40 communicates with the server 20 or the vehicle 10 via, for example, a communication network. The communication unit 40 acquires a plurality of probe information from the server 20 as an example based on the control of the driving support system 30. The communication unit 40 may receive the probe information transmitted from the vehicle 10.

Here, the probe information is road traffic information generated by using information such as the position where the automobile actually travels and the vehicle speed.
The probe information includes at least traveling position information (position information) and identification information. The traveling position information is information regarding the traveling position of the vehicle 10. The identification information is information (vehicle ID) for identifying the vehicle 10. Further, the probe information includes measurement time information (time information) indicating a time when a predetermined latitude / longitude information is measured.

Further, the probe information includes vehicle operation information (CAN information). The vehicle operation information is various information related to the operation of the vehicle 10, and is, for example, vehicle control information including steering angle information indicating a steering angle and traveling speed estimated from the number of rotations of wheels.
The vehicle control information includes information on changes in the acceleration of the vehicle due to the braking operation (brake). Further, the braking operation information may include information indicating the mode of the braking operation such as the amount of depression of the brake and the depression force (acceleration at the time of depression).

The storage unit 50 is a device that stores various information including map information, various control programs, and the like.
The storage unit 50 stores in advance a point set as a destination as an example of storing map information. The point set as the destination is a point set as the end point of the guide route (traveling route), and is specified by the position coordinate information on the map.

For example, the driving support system 30 transmits the map information stored in the storage unit 50 as described above to the vehicle 10 via the communication unit 40, and makes the map information used by the navigation device of the vehicle 10. May be good.
Further, the driving support system 30 may record map information on a recording medium such as an external memory or an optical disk, for example. In this case, the vehicle 10 may read the map information recorded on the recording medium and use the map information in the navigation device.

The processing unit 100 is a processor having a function of performing various processes in the driving support system 30. The processing unit 100 may be realized by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (LargeScaleIntegration)) or the like, or may be realized by using a CPU (CentralProcessingUnit) and a memory. It may be realized by software.

The processing unit 100 includes a reception unit 110, a learning model creation unit 120, an acquisition unit 130, a specific unit 140, and an output unit 150.
The reception unit 110 receives input of a front image of the front of the vehicle from the photographing device. The photographing device is, for example, a drive recorder, and records the state of the front of the vehicle while the vehicle is running or stopped over time. The photographing device may be a camera mounted on a smartphone or the like of a driver or a passenger. Further, the photographing device may be a camera installed outside the vehicle.

The learning model creation unit 120 creates a learning model related to the braking operation. This point will be described in detail with reference to FIG.
As shown in FIG. 3, the learning model related to the braking operation is a model in which a plurality of teacher data showing the relationship between the braking operation information and the braking reason information are learned. The learning model can be constructed by, for example, a neural network.

The braking operation information is information indicating the braking operation performed on the vehicle traveling on the road. That is, it is information indicating that the braking operation has been performed on the road, and is associated with the time when the braking operation is performed and the information regarding the location. Further, the braking operation information may include information indicating the mode of the braking operation, or may be associated with the vehicle operation information when the braking operation is performed.

The braking reason information is information indicating the reason why the braking operation is performed. Reasons for braking include, for example, jumping out of people and vehicles onto the road at intersections with poor visibility, road surface defects due to the effects of weather and other external factors, and sudden changes in road slope. Be done.

The reason for performing these braking operations is due to the driving environment, road surface conditions, and driver's proficiency, and it is empirical that different vehicles perform the same braking operations under the same conditions. It has been confirmed in.
Therefore, by using the learning model in which the braking reason information is learned as the label of the teacher data, the braking reason can be output by inputting the braking operation.

Then, by analyzing the fact that the braking operation was performed and the reason why the operation was performed, it is possible to predict the situation where the braking operation is performed, especially the situation where the sudden braking operation is performed as a preliminary situation of the accident. However, by notifying the driver in advance, it can be expected to avoid the preliminary situation of the accident.

The acquisition unit 130 acquires vehicle operation information regarding the operation of the vehicle over time. The acquisition unit 130 acquires probe information via a communication network.
The probe information includes position information regarding the position of a vehicle traveling on the road and time information regarding the time when the vehicle acquires the position information. The acquisition unit 130 includes a position information acquisition unit 131 and a CAN information acquisition unit 132.

The position information acquisition unit 131 acquires the latitude / longitude information measured by the GNSS positioning system during traveling for one travel path of the vehicle 10 together with the measurement time information indicating the time when the latitude / longitude information is measured.
The position information acquisition unit 131 may acquire a plurality of probe information from the departure point to the destination.

The vehicle 10 can record the traveling position information of the vehicle 10 by using, for example, GNSS (Global Navigation Satellite System) (hereinafter, simply referred to as a positioning system). By continuously or intermittently acquiring the position information, the vehicle 10 can record the position information (traveling position information) of the route on which the vehicle 10 has traveled in the probe information.

The vehicle 10 records a vehicle ID (identification information) for distinguishing the own vehicle from another vehicle in the probe information.
The vehicle 10 records, for example, information (measurement time information) regarding the time when the traveling position information is acquired (or the traveling position information is recorded as probe information) in the probe information.

Here, when the vehicle 10 generates the probe information, the vehicle 10 may record the destination set by the navigation device in the probe information. For example, when the navigation device is used, the vehicle 10 may record the point (coordinates) away from the link indicating the road in the probe information based on the traveling position information.
Further, the position information acquisition unit 131 receives probe information from the server 20 (traffic information collecting device) that stores probe information of the vehicle 10 as latitude / longitude information and measurement time information in one travel path of one specific vehicle 10. To get.

The CAN information acquisition unit 132 acquires CAN information, which is vehicle control information of the vehicle 10, among the probe information.
The specifying unit 140 specifies the braking reason information and the braking position information based on the braking operation information indicating the braking operation performed in the vehicle acquired from the braking operation information by using the learning model. The braking position information is information indicating the position where the braking operation is performed.

For example, when the braking operation is performed, the reason why the braking operation is performed is estimated by referring to the information of the past running history learned by the learning model. At this time, if a learning model in which the teacher data is learned using the data at the position equivalent to the position where the braking operation is performed as a label is used, it is possible to easily refer to the information of the past running history. Here, the equivalent position is a concept that refers to a certain area recognized as the same position on the road section, such as the same intersection or the same running road, and refers to a certain range of about several meters to several tens of meters. be. That is, in the road section, if any risk factor exists, it refers to a certain area that is similarly affected by the risk factor.

Further, the specifying unit 140 specifies the braking reason information and the braking position information by using the traveling environment information together with the braking operation information. Here, the traveling environment information is information indicating the environment in which the vehicle has traveled at the time when the braking operation indicated by the braking operation information is performed. That is, the teacher data of the learning model includes the driving environment information.

Here, the traveling environment information includes at least one of the driving time, the weather, the driving history of the driver, and the information on the slope, the curve, and the road width of the road included in the map information. Further, the traveling environment information may include a front image of the front of the vehicle at the time when the braking operation indicated by the braking operation information is performed. The front image is information received from the photographing device by the reception unit 110. Then, the specifying unit 140 specifies the braking reason information and the braking position information by using the braking operation information and the front image when the vehicle is traveling.

The output unit 150 outputs the braking reason information and the braking position information specified by the specific unit 140 to the outside. Various methods can be mentioned as an external output mode regarding the braking reason information and the braking position information by the output unit 150.
For example, by outputting the braking reason information and the braking position information to the navigation device of the vehicle 10, the vehicle before traveling in the section where the braking operation is performed is alerted while showing the past braking reason. can do. Specifically, a message such as "Brake operation is often performed due to a left-turning vehicle jumping out at an intersection ahead" is output to the display monitor of the navigation device.

Further, the output unit 150 can also output the braking reason information and the braking position information specified by the specific unit 140 to the road manager who manages the road. The road administrator may be, for example, a department under the jurisdiction of the Ministry of Land, Infrastructure, Transport and Tourism, or a police station under the jurisdiction of traffic regulation. For example, by notifying that there are many preliminary accident situations at intersections with poor visibility, it is possible to encourage the elimination of the cause of such situations.

Next, the processing content of the processing unit 100 in the driving support system 30 will be described with reference to FIG. FIG. 4 is a flowchart illustrating processing in the processing unit 100.
As shown in FIG. 4, the learning model creation unit 120 in the processing unit 100 creates a learning model (ST10: learning model creation step). Next, the storage unit 50 stores the learning model created by the learning model creation unit 120 (ST20: storage step).

Next, the acquisition unit 130 acquires probe information (ST30: acquisition step). At this time, the position information acquisition unit 131 acquires the position information out of the probe information, and the CAN information acquisition unit 132 acquires the operation operation information out of the probe information.

Next, the specific unit 140 specifies the reason and position regarding the braking operation (ST40: specific step). At this time, the specifying unit 140 uses the learning model to specify the position on the road where the braking operation indicated by the braking operation information is performed and the reason why the braking operation is performed.
Next, the output unit 150 outputs the reason and position related to the braking operation (ST50: output step). At this time, the output unit 150 outputs the reason and position related to the braking operation according to the various aspects described above.

As described above, according to the driving support system 30 according to the present embodiment, the storage unit 50 has braking operation information indicating that the braking operation has been performed and braking reason information indicating the reason why the braking operation has been performed. It remembers the learning model that learned the relationship between. Then, based on the braking operation information acquired by the acquisition unit 130, the reason for the braking operation, which is the reason for performing the braking operation using the learning model, and the braking position information indicating the position where the braking operation is performed are specified. 140 identifies. Thereby, the position where the braking operation is performed and the reason why the braking operation is performed can be specified.

In this way, if probe information increases and detailed driving operation information including driving images can be collected, not only sudden braking, but also braking due to fanning or popping out, braking to secure the inter-vehicle distance, snow cover, etc. It is also possible to determine the brakes, etc. due to the deterioration of the road surface environment. This makes it possible to appropriately select the means and location for ensuring the safety of the driver.

Then, since the learning model obtained from the accumulation of past driving information is used, the cause of sudden braking can be accurately estimated.
Further, in the driving support method and the driving support program, the same effect as that of the driving support system 30 described above can be obtained.

Further, since the output unit 150 that outputs the braking reason information and the braking position information specified by the specific unit 140 to the outside is provided, for example, by notifying the driver of the potential risk of the driving road in advance. , Can give appropriate attention.

Further, when the output unit 150 outputs the braking reason information and the braking position information specified by the specific unit 140 to the road manager who manages the road, the risk factors existing on the road are managed by the road. It can be removed by a person and the road can be kept safe.

Further, since the specific unit 140 specifies the braking reason information and the braking position information by using the driving environment information together with the braking operation information, the appropriate braking reason is specified under different driving conditions such as time and weather. can do.

Further, when the specific unit 140 specifies the braking reason information and the braking position information by using the braking operation information and the front image when the vehicle is traveling, the braking reason is based on the risk factor generated in front of the vehicle. And the braking position can be specified. As a result, it is possible to perform specific processing with higher accuracy.

Further, the traveling environment information includes at least one of the driving time, the weather, the driving history of the driver, and the information on the slope, the curve, and the road width of the road included in the map information.
Therefore, by creating a learning model based on the conditions of various types of driving environment information, it is possible to specify the braking operation with high accuracy.

Since the acquisition unit 130 acquires the vehicle operation information as probe information including the position information of the vehicle and the time information regarding the time when the vehicle acquires the position information, various kinds of information can be smoothly acquired. ..

It should be noted that the above-described configuration is merely an embodiment, and various changes and functions can be aggregated or separated within a range that does not deviate from the gist of the present invention.
For example, in the present embodiment, the driving support system 30 is configured to be a device different from the navigation device mounted on the vehicle 10, but the present invention is not limited to such a mode. A part of the functions of the driving support system 30 may be realized by a control unit mounted on the navigation device.

Further, each part of the driving support system 30 described above may be realized as a function of a computer arithmetic processing unit or the like. That is, the reception unit 110, the learning model creation unit 120, the acquisition unit 130, the specific unit 140, and the output unit 150 in the processing unit 100 of the driving support system 30 have a reception function and a learning model creation function by a computer arithmetic processing unit or the like. It may be realized as an acquisition function, a specific function, and an output function, respectively. The acquisition function includes a position information acquisition function and a CAN information acquisition function.

In addition, the driving support program can realize each of the above-mentioned functions in the computer. The driving assistance program may be recorded on a non-temporary recording medium that can be read by a computer, such as an external memory or an optical disk.

Further, as described above, each part of the driving support system 30 may be realized by a computer arithmetic processing unit or the like. The arithmetic processing unit and the like are configured by, for example, an integrated circuit and the like. Therefore, each part of the driving support system 30 may be realized as a circuit constituting an arithmetic processing unit or the like.

10 Vehicle 20 Server 30 Driving support system 40 Communication unit 50 Storage unit 100 Processing unit 110 Reception unit 120 Learning model creation unit 130 Acquisition unit 131 Position information acquisition unit 132 CAN information acquisition unit 140 Specific unit 150 Output unit

Claims (22)

A memory that stores a learning model that has learned a plurality of teacher data indicating the relationship between the braking operation information indicating the braking operation performed in the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation. Department and
An acquisition unit that acquires vehicle operation information related to the operation of the vehicle over time, and
Using the learning model, based on the braking operation information indicating the braking operation performed in the vehicle acquired from the braking operation information, the braking reason information indicating the reason why the braking operation was performed on the road, and the braking A driving support system equipped with a specific unit that identifies braking position information that indicates the position where the operation was performed. The driving support system according to claim 1, further comprising an output unit that outputs the braking reason information and the braking position information specified by the specific unit to the outside. The driving support system according to claim 2, wherein the output unit outputs the braking reason information and the braking position information specified by the specific unit to a road manager who manages the road. The teacher data of the learning model includes driving environment information indicating the environment in which the vehicle has traveled at the time when the braking operation indicated by the braking operation information is performed.
The driving support system according to any one of claims 1 to 3, wherein the specific unit uses the braking operation information and the traveling environment information to specify the braking reason information and the braking position information. Equipped with a reception unit that accepts input of a front image of the front of the vehicle from the shooting device.
The traveling environment information includes a front image of the front of the vehicle at the time when the braking operation indicated by the braking operation information is performed.
The driving support system according to claim 4, wherein the specific unit identifies the braking reason information and the braking position information by using the braking operation information and the front image of the vehicle when traveling. The driving environment information according to claim 4 or 5, which includes at least one of the driving time, the weather, the driving history of the driver, and the information on the slope, curve, and road width of the road included in the map information. Driving support system. The acquisition unit acquires the vehicle operation information in a state of being included in the position information regarding the position of the vehicle traveling on the road and the probe information including the time information regarding the time when the vehicle acquires the position information. The driving support system according to any one of claims 1 to 6. The computer
A memory that stores a learning model that has learned a plurality of teacher data indicating the relationship between the braking operation information indicating the braking operation performed in the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation. Steps and
An acquisition step for acquiring vehicle operation information related to the operation of the vehicle over time, and
Using the learning model, based on the braking operation information indicating the braking operation performed in the vehicle acquired from the braking operation information, the braking reason information indicating the reason why the braking operation was performed on the road, and the braking A driving support method for performing a specific step of identifying braking position information indicating the position where the operation was performed. The driving support method according to claim 8, wherein the output step of outputting the braking reason information and the braking position information specified by the specific step to the outside is executed. The driving support method according to claim 9, wherein in the output step, the braking reason information and the braking position information specified by the specific step are output to a road manager who manages the road. The teacher data of the learning model includes driving environment information indicating the environment in which the vehicle has traveled at the time when the braking operation indicated by the braking operation information is performed.
The driving support method according to any one of claims 8 to 10, wherein in the specific step, the braking operation information and the traveling environment information are used to specify the braking reason information and the braking position information. Execute the reception step that accepts the input of the front image of the front of the vehicle from the shooting device.
The traveling environment information includes a front image of the front of the vehicle at the time when the braking operation indicated by the braking operation information is performed.
The driving support method according to claim 11, wherein in the specific step, the braking operation information and the front image of the vehicle when traveling are used to specify the braking reason information and the braking position information. The driving environment information according to claim 11 or 12, which includes at least one of the driving time, the weather, the driving history of the driver, and the information on the slope, the curve, and the road width of the road included in the map information. Driving support method. In the acquisition step, the vehicle operation information is acquired in a state of being included in the position information regarding the position of the vehicle traveling on the road and the probe information including the time information regarding the time when the vehicle acquires the position information. The driving support method according to any one of claims 8 to 13. On the computer
A memory that stores a learning model that has learned a plurality of teacher data indicating the relationship between the braking operation information indicating the braking operation performed in the vehicle traveling on the road and the braking reason information indicating the reason for performing the braking operation. Function and
An acquisition function for acquiring vehicle operation information related to the operation of the vehicle over time, and
Using the learning model, based on the braking operation information indicating the braking operation performed in the vehicle acquired from the braking operation information, the braking reason information indicating the reason why the braking operation was performed on the road, and the braking A driving support program that realizes a specific function that identifies braking position information that indicates the position where the operation was performed. The driving support program according to claim 15, which realizes an output function that outputs the braking reason information and the braking position information specified by the specific function to an external function. The driving support system according to claim 16, wherein in the output function, the braking reason information and the braking position information specified by the specific function are output to a road manager who manages the road. The teacher data of the learning model includes driving environment information indicating the environment in which the vehicle has traveled at the time when the braking operation indicated by the braking operation information is performed.
The driving support program according to any one of claims 15 to 17, wherein in the specific function, the braking operation information and the traveling environment information are used to specify the braking reason information and the braking position information. Realized a reception function that accepts the input of the front image of the front of the vehicle from the shooting device.
The traveling environment information includes a front image of the front of the vehicle at the time when the braking operation indicated by the braking operation information is performed.
The driving support program according to claim 18, wherein in the specific function, the braking operation information and the front image of the vehicle when traveling are used to specify the braking reason information and the braking position information. The driving environment information according to claim 18 or 19, which includes at least one of the driving time, the weather, the driving history of the driver, and the information on the slope, the curve, and the road width of the road included in the map information. Driving support program. In the acquisition function, the vehicle operation information is acquired in a state of being included in the position information regarding the position of the vehicle traveling on the road and the probe information including the time information regarding the time when the vehicle acquires the position information. The driving support program according to any one of claims 15 to 20. A storage medium for storing the driving support program according to any one of claims 15 to 21.

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