JP6012643B2 - Vehicle driving support device, server, vehicle driving support system, and vehicle driving support program - Google Patents

Description

  The present invention relates to a technique for determining a driving characteristic of a driver for driving assistance.

  As conventional technology related to driving support for vehicles, driver driving characteristics (hereinafter referred to as driver characteristics) using history information (hereinafter referred to as travel logs) of vehicle control information obtained from in-vehicle devices such as in-vehicle sensors and in-vehicle networks. There are technologies that automatically determine The driving log is historical information represented by latitude and longitude, vehicle speed, brake / accelerator stroke, steering angle, etc., and driver characteristics are characteristics of driving represented by driver's driving roughness, goodness, instability, etc. It represents. The calculated driver characteristics are used for entertainment functions such as safety, safety functions, and scoring of driving behavior, such as warning, alerting, and vehicle control.

For example, in the vehicle driving support device described in Patent Document 1, the time range of the travel log is limited, the travel state distributions in different time ranges are compared, and the drive is diagnosed to reduce the driving instability. It is disclosed to calculate.
In addition, for example, in the vehicle driving support device described in Patent Document 2, when the driving log is limited in time range and the driving state distributions in different time ranges are compared, learning for grasping the driver characteristics is performed. When it is not completed, it is disclosed that driver characteristics are calculated using past data acquired so far, and driving instability information is presented to the driver using the result.

JP 2012-79325 A JP 2012-226602 A

However, the vehicle driving support apparatus as in Patent Document 1 has an effect of reducing noise by limiting the time range of the travel log, but it is difficult to calculate driver characteristics when the amount of accumulated data is small. .
Therefore, in the vehicle driving support device of Patent Document 2, it is possible to estimate driving instability information even when the accumulated traveling log is small by using a different calculation method when learning is incomplete. Furthermore, it has the function of improving the calculation accuracy of the driver characteristics by limiting the driving scenes of the travel log to be used.

However, since the accumulated traveling log is updated during traveling, the characteristics of the accumulated traveling log vary depending on the road type such as the number of lanes on the traveling road and the surrounding situation such as traffic congestion. Furthermore, there are driving situations in which differences in driver characteristics are likely to be reflected in the driving log and driving situations in which it is difficult to reflect them.
In the prior art as disclosed in Patent Documents 1 and 2, in consideration of these, the function of dynamically changing the range of the travel log to be used is not retained, so the travel conforms to the characteristics of the accumulated travel log. There was a problem that the log range could not be determined properly.

  The vehicle driving support device, the server, the vehicle driving support system, and the vehicle driving support program of the present invention are made to solve the above-mentioned problems, and the data range of the travel log used for calculating the driver characteristics An object of the present invention is to calculate the driver characteristics with higher accuracy by dynamically changing according to the characteristics of the accumulated travel log.

The vehicle driving support device according to the present invention acquires vehicle information, classifies the vehicle information into preset classifications for each element, and provides the element classification information by the vehicle information classification unit that provides the element classification information. A data accumulation unit that accumulates the given vehicle information in the travel log storage unit as a travel log, and a hierarchical level is set for each element, and is classified for each hierarchical level , and the usefulness of data in calculating driver characteristics The hierarchy information table with the reliability indicating the degree and the travel log are read, the hierarchy information table is referenced, the classification of the hierarchy information table including the travel log is specified from the element classification information, and for each hierarchy level, calculate the accumulated data amount of the traveling log in the classification of each, and evaluation values that are set in advance according to the accumulated data amount, calculation of the calculated driver characteristics based on the reliability If there is a classification value representing the ease is equal to or greater than a threshold, and use the data range determining unit in the range of the travel log using the classification to the driver characteristic calculation range running log of usage data range determining unit has determined Based on the feature amount calculated by the range value data extraction unit that is extracted from the travel log storage unit, the feature value calculation unit that calculates the feature amount from the travel log extracted by the range limit data extraction unit, And a driver characteristic calculation unit that calculates driver characteristics.

  According to the present invention, it is possible to select a more effective travel log classification method in accordance with the characteristics of the accumulated travel log, so that the accuracy of the calculated driver characteristics is improved.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure explaining the driving assistance system for vehicles provided with the driving assistance device for vehicles which concerns on Embodiment 1 of this invention. BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram of the vehicle driving assistance device which concerns on Embodiment 1 of this invention. It is a flowchart of operation | movement of the vehicle driving assistance device which concerns on Embodiment 1 of this invention. It is a figure which shows an example of a classification table. It is a figure which shows an example of the format of the traveling log accumulate | stored in a traveling log memory | storage part. 6 is a flowchart in which a use data range determination unit according to the first embodiment determines a data range used for driver characteristic calculation. It is a figure which shows an example of a hierarchy information table. It is a figure which shows an example of a hierarchy information table. It is a block diagram of the vehicle driving assistance device which concerns on Embodiment 2 of this invention. It is a figure which shows an example of the hierarchy information table with reliability. It is a flowchart in which the use data range determination part of Embodiment 2 of this invention determines the range of the data used for driver characteristic calculation. It is a block diagram of the vehicle driving assistance device which concerns on Embodiment 3 of this invention. It is a flowchart explaining operation | movement of the vehicle driving assistance device which concerns on Embodiment 3 of this invention. It is a flowchart explaining operation | movement of the reliability calculation part of Embodiment 3 of this invention. It is a block diagram of the driving assistance device for vehicles which concerns on Embodiment 4 of this invention. It is a flowchart explaining operation | movement of the driving assistance device for vehicles which concerns on Embodiment 4 of this invention. FIG. 20 is a diagram illustrating an example of a hierarchy information table to be changed by a table update unit according to the fourth embodiment. It is a block diagram of the vehicle driving assistance device which concerns on Embodiment 5 of this invention. It is a flowchart explaining operation | movement of the vehicle driving assistance device which concerns on Embodiment 5 of this invention. In Embodiment 5 of this invention, it is a figure explaining an example of the hierarchy information table clustered by the clustering part. It is a figure explaining the driving assistance system for vehicles provided with the driving assistance device for vehicles which concerns on Embodiment 6 of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
Embodiment 1 FIG.
FIG. 1 is a diagram illustrating a vehicle driving support system including a vehicle driving support device according to Embodiment 1 of the present invention.
As illustrated in FIG. 1, the vehicle driving support system includes an in-vehicle system typified by car navigation and an external device including an application having an application execution unit 14. The in-vehicle system includes an in-vehicle sensor 11, an in-vehicle network 12, a vehicle driving support device 100, and an application execution unit 13.

  The vehicle driving support device 100 is typified by USB, Bluetooth (registered trademark), RS232 from an in-vehicle sensor 11 installed in a vehicle typified by GPS, a gyro sensor, a camera or the like, or an in-vehicle network 12 typified by CAN. Vehicle information is received using a communication method. Furthermore, the vehicle driving support device 100 outputs driver characteristics as calculation results to the application execution units 13 and 14 of applications existing on the in-vehicle system and applications existing on external devices such as smartphones and servers. The number of applications is not limited to one, and a plurality of applications may exist. As long as this system is an in-vehicle system, it may exist on a car navigation system or on an independent ECU (Electronic Control Unit).

FIG. 2 is a configuration diagram of the vehicle driving support apparatus 100 according to Embodiment 1 of the present invention.
As illustrated in FIG. 2, the vehicle driving support device 100 includes a road information detection unit 101, a driving operation detection unit 102, a traveling state detection unit 103, a vehicle information classification unit 104, a data storage unit 105, A log storage unit 106, a hierarchy information table 107, a use data range determination unit 108, a range limited data extraction unit 109, a feature value calculation unit 110, a driver characteristic calculation unit 111, and a driver characteristic transmission unit 112 are provided. .

The road information detection unit 101, the driving operation detection unit 102, and the traveling state detection unit 103 receive vehicle information from the in-vehicle sensor 11 and the in-vehicle network 12. This vehicle information may be received in real time, or may be received collectively after being stored in a temporary storage.
The vehicle information includes latitude / longitude, vehicle speed, brake / accelerator depression, steering angle, camera image, and the like. The road information detection unit 101, the driving operation detection unit 102, and the traveling state detection unit 103 can also receive information such as VICS (registered trademark) and DSRC held by the car navigation system via the in-vehicle network 12. is there.

The road information detection unit 101 detects road information typified by a road type such as the number of lanes, the width of the road, an expressway, and a general road, using the received vehicle information.
The driving operation detection unit 102 detects driving operation information represented by speed, acceleration / deceleration, and the like using the received vehicle information.
The traveling state detection unit 103 detects traveling state information represented by weather, time zone, traffic jam, and the like using the received vehicle information.

  The vehicle information classification unit 104 classifies the vehicle information by each element of a classification table set in advance (details will be described later), and adds the classification result to the vehicle information as element classification information. Here, the element classification information is added to the vehicle information as a tag.

The data accumulation unit 105 stores the vehicle information to which the tag is added by the vehicle information classification unit 104 in the travel log storage unit 106 as a travel log.
The use data range determination unit 108 reads the travel log stored in the travel log storage unit 106 and refers to the hierarchy information table 107 to determine the range of data used for driver characteristic calculation.

The range limited data extraction unit 109 extracts travel log data in the classification range determined by the use data range determination unit 108.
The feature value calculation unit 110 calculates feature amounts such as average acceleration and standard deviation from the travel log extracted by the range limited data extraction unit 109. There are various types of feature quantities to be calculated depending on the characteristics of the driver to be calculated, such as acceleration at acceleration / deceleration, centrifugal force at curve, vehicle speed at constant speed, accelerator pedal stroke, brake pedal stroke, etc. I can take it.
The driver characteristic calculation unit 111 calculates driver characteristics such as driving roughness based on the feature amount calculated by the feature value calculation unit 110. In addition to driving roughness, the driver characteristics may be driving humor, driving instability, driving politeness, driver rush, fatigue, drowsiness, and the like.
The driver characteristic transmission unit transmits driving support information to the application execution units 13 and 14 based on the driver characteristic calculated by the driver characteristic calculation unit 111.

The operation will be described.
FIG. 3 is a flowchart of the operation of the vehicle driving support apparatus 100 according to Embodiment 1 of the present invention.
The road information detection unit 101 detects road information represented by the number of lanes, road width, road type such as a highway, a general road, and the like using vehicle information received from the in-vehicle sensor 11 and the in-vehicle network 12. The detection result is output to the vehicle information classification unit 104 (step ST1).
The driving operation detection unit 102 detects driving operation information typified by speed, acceleration / deceleration, and the like using the vehicle information received from the in-vehicle sensor 11 and the in-vehicle network 12, and outputs the detection result to the vehicle information classification unit 104. (Step ST2).
The traveling state detection unit 103 detects traveling state information typified by weather, time zone, traffic jam, and the like using the vehicle information received from the in-vehicle sensor 11 and the in-vehicle network 12, and the detection result is sent to the vehicle information classification unit 104. Output (step ST3).

  The vehicle information classification unit 104 receives the road information, the driving operation information, and the traveling state information input in steps ST1 to ST3 and the classification table as shown in FIG. 4 set in advance in steps ST1 to ST3. The vehicle information is classified by each element, the classification result is added as a tag, and the tagged vehicle information is output to the data storage unit 105 (step ST4). A tag is added for each tag name (label), that is, for each element. For example, in the classification table shown in FIG. 4, according to the situation, as tags, “one lane on one side”, “general road (main line)”, “speed 20 km / h to 40 km / h”, “constant speed running state”, Add "Sunny", "Night", etc. In FIG. 4, six labels, ie, the number of lanes, the road type, the speed zone, the driving behavior, the weather, and the time zone, are designated as tag labels (elements), but are not limited thereto.

The data storage unit 105 stores the vehicle information with the tag output from the vehicle information classification unit 104 in step ST4 in the travel log storage unit 106 as a travel log (step ST5). Here, the data storage unit 105 stores the travel log in the travel log storage unit 106 in a format as shown in FIG. 5, for example.
In step ST5, the use data range determination unit 108 uses the travel log accumulated in the travel log storage unit 106 by the data storage unit 105 and the hierarchical information table 107 to determine the range of data used for driver characteristic calculation. Determine (step ST6).

Here, FIG. 6 is a flowchart in which the use data range determination unit 108 of the first embodiment determines the range of data used for driver characteristic calculation.
The operation of step ST6 will be described in detail with reference to FIG.
The use data range determination unit 108 first reads the travel log accumulated so far from the travel log storage unit 106 (step ST501).
Next, the use data range determination unit 108 reads the hierarchy information table 107 set in advance (step ST502).

FIG. 7 is a diagram illustrating an example of the hierarchy information table 107.
As shown in FIG. 7, the hierarchy information table 107 is set for each element of the classification table shown in FIG. 4, that is, for each label, and is classified for each hierarchy level.
The hierarchy level 1 in the hierarchy information table 107 shown in FIG. 7 is all travel logs accumulated so far, and the hierarchy level 3 is classified in units classified in the classification table shown in FIG. Exists. The hierarchy level 2 is constructed by a combination of the hierarchy levels 3, and in the first embodiment, the hierarchy level 2 is set in advance.
FIG. 7 illustrates the hierarchy information table in the lane number label and the hierarchy information table in the speed label, but there are as many hierarchy information tables as the number of labels defined in the classification table.

  Further, a hierarchical information table with a different label may be set under a hierarchical information table with a certain label. For example, as shown in FIG. 8, by adjusting the speed below the number of lanes, it is possible to create a classification or the like when traveling on “20 km / h to 40 km / h” in “one lane on both sides”. At this time, the total travel log of “1 lane on both sides” is level 3; “0 km / h to 60 km / h” on “1 lane on both sides” is level 4; “0 km / h on“ 1 lane on both sides ” “20 km / h” is the hierarchical level 5. The structure of this hierarchy is determined when designed in advance.

Next, use data range determination section 108 sets num as the highest hierarchical level in the set hierarchical information table 107 (step ST503). For example, when the hierarchical information table 107 of FIG. 8 is provided, “num = 5”.
The use data range determination unit 108 calculates the accumulated data amount of the travel log accumulated in the travel log storage unit 106 in all classifications having a hierarchical level of num (step ST504). Specifically, the use data range determining unit 108 refers to the hierarchy information table 107, identifies the travel log included in each classification of the hierarchy information table 107 from the tag of the travel log read in step ST501, and determines the hierarchy level. Each time, the accumulated data amount of the traveling log in each classification is calculated. That is, in the example of FIG. 8, the accumulated data amount of the travel log to which the tag of 6 × 5 30 classifications existing at the hierarchical level 5 is assigned is calculated.
The use data range determination unit 108 selects a data range candidate that uses the classification having the largest accumulated data amount from the accumulated data amount calculated in step ST504 (step ST505).
The use data range determination unit 108 determines whether the data amount of the classification selected in step ST505 is equal to or larger than a preset threshold value (step ST506).

  In step ST506, when the accumulated data amount is equal to or greater than the threshold value (in the case of “YES” in step ST506), the use data range determining unit 108 calculates the driver characteristics because the selected classification has sufficient accumulated data amount. It is determined that it is possible, and it is determined as a classification used for driver characteristic calculation, and the determined classification is output to the range limited data extraction unit 109 (step ST507).

On the other hand, if the accumulated data amount is less than the threshold value in step ST506 (in the case of “NO” in step ST506), that is, if the accumulated data amount is less than the threshold value in all classifications with the hierarchical level num, The range determination unit 108 determines that the amount of stored data is too small to detect driver characteristics and is not reliable, and calculates the data amount in a hierarchy one level higher than the amount of stored data. Therefore, if the current num is not 1 (in the case of “NO” in step 508), the use data range determining unit 108 subtracts 1 from the current num (step ST509), and processes again from step ST504.
If the current num is 1 (in the case of “YES” in step ST508), all the classifications in all the hierarchies have been calculated, so that the process is terminated with no classification exceeding the threshold (step ST510).

Returning to the flow of FIG.
The range limited data extraction unit 109 extracts the travel log data in the classification range determined by the use data range determination unit 108 in step ST6 from the travel log storage unit 106 (step ST7).

  The feature value calculation unit 110 calculates feature amounts such as average acceleration and standard deviation from the travel log extracted by the range limited data extraction unit 109 in step ST7 (step ST8). The feature quantity to be calculated can take various types depending on the driver characteristics to be calculated. For example, the feature amount includes acceleration during acceleration / deceleration, centrifugal force during curve, vehicle speed during constant speed travel, depressing accelerator pedal, depressing brake pedal, and the like. Since various feature amounts can be obtained in this way, it is possible to use only portions where driving characteristics are likely to appear, and it is possible to calculate driver characteristics with high accuracy.

  The driver characteristic calculation unit 111 calculates driver characteristics such as driving roughness based on the feature amount calculated by the feature value calculation unit 110 in step ST8 (step ST9). Specifically, for example, if the average acceleration calculated by the feature value calculation unit 110 is equal to or greater than a preset threshold, it is determined that the driving is rough. The calculated driver characteristics are not limited to driving roughness, and may be driving humor, driving instability, driving politeness, driver rush, fatigue, sleepiness, and the like. As for the calculation of these driver characteristics, if the driving performance is good, for example, when the standard deviation of the acceleration change amount at the time of stop calculated by the feature value calculation unit 110 is smaller than a preset threshold value, the driving performance is good. And it is sufficient. Further, if the driving is unstable, for example, the driving may be unstable when the standard deviation of acceleration during straight traveling at low speed calculated by the feature value calculation unit 110 is larger than a preset threshold value. Further, if the driving is polite, for example, the driving may be performed politely when the average centrifugal force at the time of turning left and right calculated by the feature value calculation unit 110 is smaller than a preset threshold value. Further, if the driver is in a rush state, for example, the rush state may be set when the average acceleration calculated by the feature value calculation unit 110 is larger than a threshold set based on the average of the driver's usual acceleration. . Further, if the degree of fatigue or drowsiness, for example, the standard deviation between the acceleration calculated by the feature value calculation unit 110 and the lateral steering angle during straight travel is the driver's normal acceleration and the lateral steering angle during straight travel. The degree of fatigue and drowsiness may be large when the average standard deviation is larger than a threshold set based on the standard deviation average. However, the calculation method is not limited to these, and other calculation methods may be used.

As described above, by calculating various types of driver characteristics, it is possible to realize driving support according to the characteristics of the driver.
In step ST9, the driver characteristic transmission unit 112 transmits driving support information to the application execution units 13 and 14 based on the driver characteristic calculated by the driver characteristic calculation unit 111 (step ST10). Specifically, for example, if a driver characteristic that the driving is rough is input from the driver characteristic calculation unit 111, it is determined that the driving is not ecological driving but high risk and driving to the rest spot or calm driving is performed. The driving support information that prompts the user to perform is transmitted to the application execution units 13 and 14. In each application, voice output of the received driving support information, display on a display, and the like are performed.

An example of an application is a car navigation function. For example, the driver characteristic transmission unit 112 transmits driving support information to a vehicle-mounted speaker or a vehicle-mounted display, and provides a display or a sound for prompting a driver to take a rest spot or driving calmly in a car navigation system. The driver characteristic transmission unit 112 may transmit the driving support information to the instrument panel, the communication destination smartphone, and the head-up display without being limited to the speaker and the vehicle-mounted display.
Another example of the application is an application that automatically controls the vehicle and turns on a function that assists driving when it is determined that driving is unstable. Of course, the application is not limited to these examples.

  Moreover, the process of the vehicle driving assistance device 100 according to the first embodiment of the present invention as described with reference to FIG. 3 does not need to execute all the processes in real time, for example, a process of accumulating data. It is also possible to adopt a configuration in which it is executed in real time and the driver characteristic calculation process is executed every 10 minutes.

  In the first embodiment, the vehicle driving support apparatus 100 is configured as shown in FIG. 1, but the vehicle driving support apparatus 100 includes a vehicle information classification unit 104, a data storage unit 105, and the like. The hierarchical information table 107, the use data range determination unit 108, the range limited data extraction unit 109, the feature value calculation unit 110, and the driver characteristic calculation unit 111 may be used.

As described above, according to the first embodiment, the vehicle information is obtained by the vehicle information classification unit 104 that obtains vehicle information, classifies the vehicle information into preset classifications, and assigns the element classification information. A data accumulation unit 105 that accumulates vehicle information to which element classification information is given as a travel log in a travel log storage unit 106; a hierarchy information table 107 in which a hierarchy level is set for each element and classified for each hierarchy level; The travel log is read, the hierarchy information table 107 is referenced, the classification of the hierarchy information table 107 including the travel log is specified from the element classification information, and the accumulated data amount of the travel log in each classification is calculated for each hierarchy level. A usage data range determination unit 108 that determines a range of a travel log used for calculating the driver characteristics based on the accumulated data amount, and a usage data range determination unit 108. A range-limited data extraction unit 109 that extracts a travel log in a specified range from the travel log storage unit 106, a feature value calculation unit 110 that calculates a feature amount from the travel log extracted by the range-limited data extraction unit 109, and a feature value Since it is configured to include a driver characteristic calculation unit 111 that calculates a driver characteristic based on the characteristic amount calculated by the calculation unit 110, the data range of the travel log used for calculating the driver characteristic is used as the characteristic of the accumulated travel log. The driver characteristics can be calculated with higher accuracy by dynamically changing them accordingly.
In addition, even when there are many function candidates provided to the user by the information providing apparatus, or even when information on each function candidate is enormous, functions that are highly likely to be desired by the user and functions that can be used are provided. It can be carefully selected and provided to the user.

In other words, even when there are many function candidates to be provided to the user, or even when the information regarding each function candidate is enormous, it is determined whether or not the function is highly likely to be desired by the user. Efficient processing is possible. Thereby, according to the change of the situation of the vehicle which changes every moment, a function can be shown with sufficient timing.
Furthermore, since it is determined whether or not the function is highly likely to be desired by the user, the processing load for acquiring information related to the function desired by the user is small. There is also an effect that the operation originally performed by the apparatus controlled by the information providing apparatus such as guidance can be stably performed.

Embodiment 2. FIG.
FIG. 9 is a configuration diagram of a vehicle driving support apparatus 100 according to Embodiment 2 of the present invention.
In addition, about the structure similar to what was demonstrated in FIG. 2 in Embodiment 1, the same code | symbol is attached | subjected and the overlapping description is abbreviate | omitted. The vehicle driving support apparatus 100 according to the second embodiment is different from the vehicle driving support apparatus 100 according to the first embodiment in that the hierarchical information table 107 is changed to a hierarchical information table 807 with reliability. In addition, the algorithm of the use data range determination unit 808 is changed.
The configuration of the vehicle driving system including the vehicle driving support device 100 according to Embodiment 2 of the present invention is the same as that described in Embodiment 1 with reference to FIG.

FIG. 10 is a diagram illustrating an example of the hierarchy information table 807 with reliability.
The hierarchy information table with reliability 807 has reliability information for each classification as shown in FIG. This level of reliability can be set in 10 stages, and is set in advance by the developer.
The reliability is an index indicating the degree of usefulness of data in calculating driver characteristics. For example, the driver who is good at driving is one lane on both sides than the difference between the driving log when the driver who is good at driving is 4 lanes on one side and the driving log when the driver who is not good at driving is driving 4 lanes on one side. If there is a large difference between the driving log when driving and the driving log when a driver who is not good at driving travels on one lane on both sides, the driving log on both lanes is better for judging the driving performance. Since it is reliable, the reliability of one lane on both sides increases, and the reliability of one lane on one side decreases.

The operation will be described.
The operation of the vehicle driving support apparatus 100 according to Embodiment 2 of the present invention is different from the operation of the vehicle driving support apparatus 100 of Embodiment 1 only in the operation of the use data range determining unit 808. Therefore, in Embodiment 1, the description described in FIG. 3 is omitted, and the use data range determination different from the operation of the use data range determination unit 108 described in FIG. 6 in Embodiment 1 is used. The operation of the unit 808 will be described with reference to FIG.
FIG. 11 is a flowchart in which the use data range determining unit 808 according to the second embodiment of the present invention determines the range of data used for calculating the driver characteristics.
The use data range determination unit 808 determines the range of data used for driver characteristic calculation by using the travel log accumulated in the travel log storage unit 106 and the hierarchical information table 807 with reliability.

First, the use data range determination unit 808 reads the travel log accumulated so far from the travel log storage unit 106 (step ST1001).
Next, the use data range determination unit 808 reads the reliability-added hierarchy information table 807 set in advance (step ST1002). Here, it is assumed that the hierarchy information table 807 with reliability to be read is, for example, as shown in FIG.

Next, the use data range determination unit 808 sets the value having the highest hierarchical level in the set reliability-specific hierarchical information table 807 as num (step ST1003). For example, when the hierarchical information table with reliability 807 in FIG. 10 is provided, “num = 5”.
The use data range determination unit 808 calculates an evaluation value from the accumulated data amount in all classifications in which the hierarchy level is num (step ST1004). Specifically, the use data range determination unit 808 evaluates the evaluation value in 10 stages based on a predetermined criterion according to the amount of accumulated data.

Based on the following formula (1), the use data range determination unit 808 calculates “ease of calculating driver characteristics” for each classification, and selects a class having the largest “easiness of calculation of driver characteristics” (step S1). ST1005).

(Ease of calculating driver characteristics) = (Evaluation value of accumulated data amount) x (Reliability) ... Equation (1)

The use data range determination unit 808 determines whether the driver characteristics selected in step ST1005 are more than a preset threshold (step ST1006).
In step ST1006, when the ease of calculating the driver characteristics is equal to or greater than the threshold (in the case of “YES” in step ST1006), the use data range determination unit 808 determines that the driver characteristics can be calculated, and the driver characteristics. It determines as a classification | category used for calculation, and outputs the determined classification | category to the range limited data extraction part 109 (step ST1007).

On the other hand, in step ST1006, when the driver characteristic is less than the threshold value (in the case of “NO” in step ST1006), that is, in all classifications where the hierarchical level is num, “ease of calculating driver characteristic” ”Is less than the threshold value, the use data range determination unit 808 determines that the driver characteristics are unreliable for detection, and it is assumed that“ ease of calculating driver characteristics ”is larger. In the upper hierarchy, the amount of data is calculated. Therefore, if the current num is not 1 (in the case of “NO” in step 1008), the use data range determination unit 808 subtracts 1 from the current num (step ST1009), and processes again from step ST1004.
If the current num is 1 (in the case of “YES” in step ST1008), all classifications in all hierarchies have been calculated, and therefore, the process ends with no classification exceeding the threshold (step ST1010).

In the second embodiment, the evaluation value of reliability and accumulated data amount is evaluated in 10 stages. However, the present invention is not limited to this, and the number of stages may be changed. May use the data size and travel time as they are.
Further, the processing of the vehicle driving support apparatus 100 according to the second embodiment of the present invention does not need to execute all the processing in real time as in the first embodiment, and for example, executes the processing for accumulating data in real time. The driver characteristic calculation process may be executed every 10 minutes.

  As described above, according to the second embodiment, the reliability indicating the degree of usefulness of data in calculating the driver characteristics is added to the hierarchical information table (hierarchical information table with reliability 807). In the usage data range determination unit 808, a value indicating the ease of calculation of the driver characteristics calculated based on the reliability and the evaluation value set in advance according to the accumulated data amount of the travel log is equal to or greater than the threshold value. When there is a classification, the classification is made the range of the driving log used for calculating the driver characteristics, so it is more effective to select the driving log to be used in consideration of not only the amount of data but also the reliability. Since it is possible to determine the range of the travel log used for calculating high driver characteristics, it is possible to improve the accuracy of the calculated driver characteristics.

Embodiment 3 FIG.
FIG. 12 is a configuration diagram of a vehicle driving support apparatus 100 according to Embodiment 3 of the present invention.
In addition, about the structure similar to what was demonstrated in FIG. 2, 9 in Embodiment 1, 2, the same code | symbol is attached | subjected and the overlapping description is abbreviate | omitted. The vehicle driving support apparatus 100 according to the third embodiment is different from the vehicle driving support apparatus 100 according to the first embodiment in that a reliability calculation unit 1112 is further provided. Further, the use data range determination unit 808 described in Embodiment 2 with reference to FIG. 9 is provided.

The reliability calculation unit 1112 calculates the reliability in each classification based on the difference between the characteristic values of the travel log stored in the travel log storage unit 106 for each classification belonging to the same hierarchical level, and stores the reliability in the hierarchical information table 107. Append.
The use data range determination unit 808 is a range of data used for driver characteristic calculation based on the accumulated data accumulated in the travel log storage unit 106 and the reliability calculated by the reliability calculation unit 1112 and added to the hierarchy information table 107. To decide.

  The configuration of the vehicular driving system provided with the vehicular driving support device 100 according to the second embodiment of the present invention is also the same as that described in FIG. 1 in the first embodiment.

The operation will be described.
FIG. 13 is a flowchart illustrating the operation of the vehicle driving support apparatus 100 according to Embodiment 3 of the present invention.
In the first embodiment, the same description as the operation described with reference to FIG. 3 is omitted.
FIG. 3 differs from FIG. 3 in that after the data storage unit 105 stores the travel log (step ST5), the reliability calculation unit 1112 adds a step of calculating the reliability for each classification (step ST11). .

FIG. 14 is a flowchart for explaining the operation of the reliability calculation unit 1112 according to the third embodiment of the present invention.
Here, the operation of reliability calculation by the reliability calculation unit 1112 will be described by taking as an example a case where the roughness of the driver is determined using acceleration as a feature value using the hierarchical information table in the lane number label shown in FIG.
First, the reliability calculation unit 1112 selects a classification to be calculated (step ST1201). Here, for example, it is assumed that the classification of one lane on both sides is selected at the hierarchical level 3 in FIG.

The reliability calculation unit 1112 calculates the standard deviation of the used feature values in the classification selected in step ST1201 (step ST1202). Specifically, the standard deviation of the acceleration of the travel log accumulated in the travel log storage unit 106 is calculated according to the classification of both lanes on both sides selected in step ST1201.
Here, if the standard deviation is small, it is considered that the influence of noise is small, so that it can be determined that it is more useful for calculating the driver characteristics.
The reliability calculation unit 1112 calculates the average of differences from the feature values of other classifications in the same hierarchy (step ST1203). Specifically, in the classification of both lanes on both sides in FIG.
(| (Acceleration of one lane on both sides)-(Acceleration of one lane on one side) |
+ | (Acceleration in one lane on both sides)-(Acceleration in two lanes on one side) |
+ | (Acceleration in one lane on both sides)-(Acceleration in three lanes on one side) |
+ | (Acceleration of 1 lane on both sides)-(Acceleration of 4 lanes or more on one side) |) / 4

When the average of differences from other classifications in the same hierarchy is large, it is considered that the driver is carrying out characteristic driving that is different from other classifications, which is useful in calculating driver characteristics. I can guess.
The reliability calculation unit 1112 calculates the reliability according to the following equation (2) using the average of the differences between the standard deviation calculated in step ST1202 and the feature values of other classifications calculated in step ST1203. It adds to each classification | category of the information table 107 (step ST1204).

(Reliability) = (Coefficient) × (Average of differences from other classifications) / (Standard deviation) Equation (2)

  The reliability calculation unit 1112 determines whether or not the calculation of reliability has been completed for all classifications (step ST1205). That is, the reliability calculation unit 1112 performs the processing of step ST1201 to step ST1204 for all classifications of all layers, and sets the reliability. Specifically, here, when the reliability of one lane on both sides of the hierarchy level 3 in FIG. 7 is calculated, all of the hierarchy level 3 including one lane on one side, two lanes on one side, three lanes on one side, four lanes on one side, Next, the reliability of the classification of the level 2 or lower lane of the hierarchy level 2 and the classification of the 3 lanes or more is calculated, and further the reliability of the hierarchy level 1 is calculated. In step ST1205, it is determined whether or not the calculation of reliability has been completed for all classifications of all layers.

If it is determined in step ST1205 that the calculation of reliability has not been completed for all classifications (in the case of “NO” in step ST1205), the processing from step ST1201 is repeated.
If it is determined in step ST1205 that the calculation of reliability has been completed for all classifications (in the case of “YES” in step ST1205), the reliability calculation processing by the reliability calculation unit 1112 is ended.

Here, the case where acceleration is used as a feature value has been described as an example. However, the present invention is not limited to this, and the same processing is performed even when another feature value is used. Further, when the hierarchy information table 107 is changed, the same processing is performed.
Here, the order of reliability calculation by the reliability calculation unit 1112 is calculated in order from the lowest hierarchy to the upper hierarchy here, but is not limited thereto. For example, the calculation may be performed in order from the highest hierarchy to the lower hierarchy. Further, for example, as shown in FIG. 8, in the hierarchical information table 107, when each label has information of the next lower hierarchy and constitutes a tree structure, the calculation may be performed in the order of tracing the branches. Specifically, in the case of FIG. 8, all travel logs at level 1 → 2 lanes or less → 1 lane on both sides → all travel logs at level 3 → 0 km / h to 60 km / h → 0 km / h to 20 km / h → 20 km / h-40 km / h-> 40 km / h-60 km / h-> 60 km / h--> 60 km / h-80 km / h-> 80 km / h-100 km / h-> 100 km / h--> one lane on one side-> two lanes on one side-> You may make it calculate in order of the classification of 3 lanes or more-> 3 lanes on one side-> 4 lanes on one side.
In addition, the reliability is set to 1 when only one travel log has a classification.

  The use data range determination unit 808 determines the range of use data using the reliability calculated by the reliability calculation unit 1112 and added to the hierarchy information table 107 (step ST6 in FIG. 3). The use data range determination unit 808 performs the use data range determination processing in the second embodiment except that the reliability calculated by the reliability calculation unit 1112 is used instead of the reliability set statically. Since the operation is the same as that described with reference to FIG. 11, detailed description thereof is omitted.

  As described above, according to the third embodiment, the reliability in each category is calculated based on the difference between the characteristic values of the travel logs of each category belonging to the same hierarchy level, and the reliability is calculated as the hierarchy. Since the reliability calculation unit 1112 to be added to the information table is further provided, in order to dynamically change the reliability, knowledge obtained in advance does not exist enough and the reliability cannot be set However, it is possible to limit the range of the travel log using the reliability, and the calculation accuracy of the driver characteristics is improved.

Embodiment 4 FIG.
FIG. 15 is a configuration diagram of a vehicle driving support apparatus 100 according to Embodiment 4 of the present invention.
In addition, the same code | symbol is attached | subjected about the structure similar to what was demonstrated in FIG. 12 in Embodiment 3, and the overlapping description is abbreviate | omitted. The vehicle driving support apparatus 100 according to the fourth embodiment is different from the vehicle driving support apparatus 100 according to the third embodiment in that a table updating unit 1313 is further provided.
The table update unit 1313 changes the classification of the hierarchy information table 107 at a certain hierarchy level.

The operation will be described.
FIG. 16 is a flowchart for explaining the operation of the vehicle driving support apparatus 100 according to Embodiment 4 of the present invention.
In the third embodiment, the same description as the operation described with reference to FIG. 13 is omitted.
FIG. 13 differs from FIG. 13 in that a layer level classification changing step (step ST12) is added after the reliability calculating step (step ST11).

  In step ST11, when the reliability calculation unit 1112 calculates the reliability, the table update unit 1313 changes the combination of the classification of the hierarchy level (step ST12). Specifically, in the hierarchy information table 107, the adjacent classifications in the lowest hierarchy are combined to create a new classification at the next higher hierarchy level, and “ease of calculating driver characteristics” in the classification. Is updated to the structure of the hierarchy information table 107 according to the classification that provides the largest “ease of calculating the driver characteristics”. Then, the same processing is performed for the new classification created in combination, and is repeated until the number of classifications in the hierarchy becomes 1. In addition, by setting the maximum number of hierarchies, it is possible to limit the size of the table without repeating until the number of hierarchies becomes 1.

For example, if the hierarchy information table 107 has a configuration as shown in FIG. 17A, the table update unit 1313 is adjacent to the “one lane on both sides” at the hierarchy level 3 as shown in FIG. The “one-sided one lane” classification is combined to create a new “one-sided one-lane or lower” at level 2 and “one-sided two-lane” next to “one-sided three-lane” at level-3. A new category “two or more lanes on one side” is created in the hierarchical level 2 by combining these categories. Then, “ease of calculating driver characteristics” in the classification of “one lane or less on one side” and “two or more lanes on one side” is calculated, and “easiness to calculate driver characteristics” is larger than the classification of FIG. Is obtained, the hierarchy information table 107 shown in FIG. 17B is updated.
The “ease of calculating the driver characteristics” may be calculated by the following equation (1) described in the second embodiment.

(Ease of calculating driver characteristics) = (Evaluation value of accumulated data amount) x (Reliability) ... Equation (1)

  Furthermore, in the hierarchy information table 107 shown in FIG. 17B, similarly, the classification of “one side two lanes” adjacent to the “one side one lane” of the hierarchy level 3 is combined to newly add “one side 2 The same processing may be performed in a new classification created by combining, such as creating a classification of “lanes or less”, or the above process is repeated until the maximum number of hierarchies is set. Also good.

  The usage data range determination unit 808 calculates the usage data range by referring to the hierarchy information table 107 updated by the table update unit 1313 in step ST12 (step ST6). Specifically, based on the travel log accumulated in the travel log storage unit 106 and the reliability calculated in step ST10, the processing described in Embodiment 2 with reference to FIG. “Ease of calculation” is calculated, and the classification used for calculating the driver characteristics is calculated.

The fourth embodiment is applied to the second embodiment, and the table updating unit 1313 performs “ease of calculating driver characteristics” for the hierarchical information table with reliability to which reliability is given in advance.
The configuration may be updated based on the above.

  As described above, according to the fourth embodiment, the upper hierarchy classification that can be created by combining the classifications existing in the lower hierarchy of the hierarchy information table 107 is the combination of classifications that makes it easy to calculate driver characteristics. A table updating unit 1313 for updating the hierarchy information table 107, and the use data range determination unit 808 refers to the hierarchy information table 107 updated by the table update unit 1313 to determine the range of data used for driver characteristic calculation. Since the determination is made, it is possible to try various combinations of classifications according to the accumulated traveling log and use the classification based on the optimum combination, and thus it is possible to further improve the accuracy of driver characteristic calculation.

Embodiment 5. FIG.
FIG. 18 is a configuration diagram of the vehicle driving support apparatus 100 according to Embodiment 5 of the present invention.
In addition, the same code | symbol is attached | subjected about the structure similar to what was demonstrated in FIG. 15 in Embodiment 4, and the overlapping description is abbreviate | omitted. The vehicle driving support apparatus 100 according to the fifth embodiment is different from the vehicle driving support apparatus 100 according to the fourth embodiment in that the table update unit 1313 is changed to a clustering unit 1514.
The clustering unit 1514 calculates the feature value in the travel log of the classification of the lowest hierarchy, creates a new hierarchy by combining the classifications having similar feature values, and constructs the hierarchy information table 107.

The operation will be described.
FIG. 19 is a flowchart for explaining the operation of the vehicle driving assistance apparatus 100 according to the fifth embodiment of the present invention.
In the fourth embodiment, the description of the same processing as that described with reference to FIG. 16 is omitted.
FIG. 16 is different from FIG. 16 in that a layer information table construction step (step ST13) is added instead of the layer level classification change step (step ST12).

  In step ST10, when the reliability calculation unit 1112 calculates the reliability, the clustering unit 1514 calculates the feature value in the finest classification, creates a new hierarchy by combining the classifications with the closest feature value, The information table 107 is constructed (step ST13). Specifically, for example, in the clustering unit 1514, it is assumed that the hierarchy information table 107 before adding a hierarchy by clustering is FIG. 20A, and the acceleration is calculated using the hierarchy information table 107 of FIG. In the case of clustering as feature values, the clustering unit 1514 calculates accelerations in five classifications of the lowest level of the hierarchy level 2 from one lane on both sides to four or more lanes on one side, and is one of the clustering methods. The classes determined to be close by a certain shortest distance method are combined to register a new hierarchy level 2 as the same classification, and the lowest layer is the hierarchy level 3. Here, the clustering unit 1514 is clustered by clustering into three clusters of “one side lane, one side lane”, “one side two lanes, one side four lanes or more”, and “one side three lanes” by clustering. The result is shown in FIG.

Of course, the clustering algorithm used in the clustering unit 1514 is not the shortest distance method, and other methods such as the longest distance method and the Ward method may be used.
As described above, in the fifth embodiment, the clustering unit 1514 displays the hierarchy between the highest layer (all travel logs) and the lowest layer (one lane on both sides, one lane on one side,...) Of the hierarchy information table 107. Generate by clustering. Clustering classifies all existing elements into several clusters.

  In step ST13, the usage data range determination unit 808 refers to the hierarchy information table 107 constructed by the clustering unit 1514, and calculates the usage data range (step ST6).

  It should be noted that the fifth embodiment may be applied to the second embodiment, and the clustering unit 1514 may create a new hierarchy for the hierarchy information table 807 with reliability that has been previously given reliability.

  As described above, according to the fifth embodiment, the feature values in the travel log of the classification of the lowest hierarchy in the hierarchy information table 107 are calculated, and the new hierarchy is created by combining the classifications having similar feature values. And the use data range determination unit 808 refers to the hierarchy information table 107 created by the clustering unit 1514 to determine the range of data used for driver characteristic calculation. Classification of driving logs with similar characteristics can be merged, and unnecessary divisions can be removed, saving calculation volume and reducing noise, and extracting driving logs that make it easier to calculate driver characteristics It becomes possible.

Embodiment 6 FIG.
FIG. 21 is a diagram for explaining a vehicle driving support system including a vehicle driving support device according to Embodiment 6 of the present invention.
In the first to fifth embodiments, the entire vehicle driving support apparatus 100 is configured to exist in the in-vehicle system. However, in this sixth embodiment, as shown in FIG. This is implemented in the driving support apparatus 100, and the data storage unit and the calculation of the driver characteristics are implemented in the server, and the driver characteristics are provided to applications existing in the in-vehicle system, the smartphone, the server, and the like.

Specifically, the vehicle driving support apparatus 100 includes a road information detection unit 101, a driving operation detection unit 102, a traveling state detection unit 103, a vehicle information classification unit 104, a driver characteristic transmission unit 112, and a transmission / reception unit 113. With.
The server includes a data storage unit 105, a travel log storage unit 106, a hierarchy information table 107, a use data range determination unit 108, a range limited data extraction unit 109, a feature value calculation unit 110, and a driver characteristic calculation unit 111. And a transmission / reception unit 114.

The transmission / reception units 113 and 114 perform communication between the vehicle driving support apparatus 100 and the server. Since each part with which the other vehicle driving assistance device 100 and a server are provided is the same as that described in the first to fifth embodiments, detailed description thereof is omitted.
In addition, communication between the vehicle driving support apparatus 100 and the server may use any network including the Internet.

  FIG. 21 is a diagram of the case where the first embodiment is applied to the vehicle driving support system according to the sixth embodiment, but the second embodiment is applied to the vehicle driving support system according to the sixth embodiment. The server can also be provided with a hierarchical information table 807 with reliability instead of the hierarchical information table 107. Further, by applying the third embodiment, the server may further include a reliability calculation unit 1112. Further, by applying the fourth embodiment, the server can further include a table update unit 1313. Further, by applying the fifth embodiment, the server may further include a clustering unit 1514.

  As described above, according to the sixth embodiment, the vehicle driving support apparatus 100 acquires vehicle information, classifies the vehicle information into preset classifications for each element, and provides element classification information. 104 and a transmission / reception unit 113 that transmits vehicle information to which element classification information is assigned to a server and receives driver characteristics from the server, and the server is a vehicle to which element classification information is assigned from the vehicle driving support apparatus 100. A transmission / reception unit 114 that receives information and transmits driver characteristics to the vehicle driving support device 100, a data storage unit 105 that stores vehicle information as a travel log in the travel log storage unit 106, and a preset element The hierarchy level is set, the hierarchy information table 107 classified for each hierarchy level, and the travel log are read, and the hierarchy information table 107 is referred to and the travel is performed from the element classification information. Categorized in the hierarchy information table 107 including the log, calculates the accumulated data amount of the traveling log in each category for each hierarchical level, and determines the range of the traveling log used for calculating the driver characteristics based on the accumulated data amount The use data range determining unit 108, the range limited data extracting unit 109 that extracts the travel log of the range determined by the use data range determining unit 108 from the travel log storage unit 106, and the travel extracted by the range limited data extracting unit 109 Since the configuration includes the feature value calculation unit 110 that calculates the feature amount from the log and the driver characteristic calculation unit 111 that calculates the driver characteristic based on the feature amount calculated by the feature value calculation unit 110, the accumulated data is stored in the server Can be used even when the storage area of the vehicle driving support device 100 is not sufficient. It made.

  In the first to sixth embodiments, the vehicle driving support apparatus 100 has been described on the assumption that it is used in an in-vehicle system such as a car navigation system. However, the present invention is not limited to this, and an information terminal such as a smartphone receives vehicle information. The function of the vehicle driving support apparatus 100 may be realized by receiving the information.

Further, within the scope of the present invention, the invention of the present application can be freely combined with each embodiment, modified with any component in each embodiment, or omitted with any component in each embodiment. .
Each unit used for controlling the vehicle driving support apparatus and the server in each of the first to sixth embodiments is executed by a program process using a CPU based on software.
In addition, the travel log storage unit in each of the first to sixth embodiments includes an HDD, a DVD, a memory, and the like.

  DESCRIPTION OF SYMBOLS 11 In-vehicle sensor, 12 In-vehicle network, 13, 14 Application execution part, 100 Driving support apparatus for vehicles, 101 Road information detection part, 102 Driving operation detection part, 103 Running state detection part, 104 Vehicle information classification part, 105 Data storage part 106 Driving log storage unit 107 Hierarchical information table 108, 808 Usage data range determination unit 109 Range limited data extraction unit 110 Feature value calculation unit 111 Driver characteristic calculation unit 112 Driver characteristic transmission unit 113 113 Part, 807 hierarchy information table with reliability, 1112 reliability calculation part, 1313 table update part, 1514 clustering part.

Claims (10)

Vehicle information classifying unit for obtaining vehicle information, classifying into preset classifications for each element, and providing element classification information;
A data storage unit that stores the vehicle information to which the element classification information is given by the vehicle information classification unit in a travel log storage unit as a travel log;
A hierarchy level is set for each element, is classified for each hierarchy level , and a hierarchy information table to which reliability indicating the degree of usefulness of data in calculating driver characteristics is added ,
The travel log is read, the classification of the hierarchical information table including the travel log is specified from the element classification information with reference to the hierarchical information table, and the traveling log in each of the classifications for each hierarchical level. A classification in which the value representing the ease of calculation of the driver characteristics calculated based on the evaluation value preset according to the accumulated data amount and the reliability is equal to or greater than a threshold value When there is, a use data range determination unit that uses the classification as a range of the travel log used for the driver characteristic calculation ,
A range-limited data extraction unit that extracts the travel log in the range determined by the use data range determination unit from the travel log storage unit;
A feature value calculation unit that calculates a feature value from the travel log extracted by the range-limited data extraction unit;
A vehicle driving support apparatus comprising: a driver characteristic calculation unit that calculates the driver characteristic based on the characteristic amount calculated by the characteristic value calculation unit. A reliability calculation unit that calculates the reliability in each classification based on a difference between feature values of the travel logs of the classifications belonging to the same hierarchy level, and adds the reliability to the hierarchy information table; The vehicle driving support device according to claim 1, wherein A table updating unit for updating the hierarchy information table so that an upper hierarchy classification that can be created by combining classifications existing in a lower hierarchy of the hierarchy information table is a combination of the classifications that makes it easy to calculate the driver characteristics; In addition,
The usage data range determining unit is configured by referring to the hierarchical information table table updating unit has updated, according to claim 1 or claim 2 Symbol and determines the range of the data used in the driver characteristic calculation The vehicle driving support apparatus described above. A clustering unit that calculates each feature value in the travel log of the classification of the lowest hierarchy of the hierarchy information table, and creates a new hierarchy by combining the classifications having values close to the feature value,
The usage data range determining unit refers to the hierarchical information table the clustering unit creates, among of claims 1 to 3, characterized in that in determining the scope of data to be used for the driver characteristic calculation The driving support device for a vehicle according to any one of the above. The feature value calculation unit calculates the feature value using at least one of acceleration during acceleration / deceleration, centrifugal force during curve, vehicle speed during constant speed driving, accelerator pedal depression, and brake pedal depression. it vehicular driving support apparatus according to any one of claims 1 to 4, characterized in. The driver characteristic calculation unit calculates, as the driver characteristic, at least one of driving roughness, driving politeness, driving skill, rushing state of the driver, fatigue level, and sleepiness. The vehicle driving support device according to any one of claims 1 to 4 . A driver characteristic transmission unit that transmits driving support information based on the driver characteristic calculated by the driver characteristic calculation unit;
Said driver characteristics transmission unit, the driving support information, a speaker, vehicle display, the instrument panel, the communication destination of the smartphone, claim 1, characterized by transmitting to at least one of the head-up display of claim 4 The vehicle driving support device according to any one of the preceding claims. A transmission / reception unit for receiving vehicle information to which element classification information is given from the vehicle driving support device, and transmitting driver characteristics to the vehicle driving support device;
A data storage unit for storing the vehicle information as a travel log in a travel log storage unit;
A hierarchy level is set for each preset element, is classified for each hierarchy level , and a hierarchy information table to which reliability indicating the degree of usefulness of data in calculating driver characteristics is added ,
The travel log is read, the classification of the hierarchical information table including the travel log is specified from the element classification information with reference to the hierarchical information table, and the traveling log in each of the classifications for each hierarchical level. A classification in which the value representing the ease of calculation of the driver characteristics calculated based on the evaluation value preset according to the accumulated data amount and the reliability is equal to or greater than a threshold value When there is, a use data range determination unit that uses the classification as a range of the travel log used for the driver characteristic calculation ,
A range-limited data extraction unit that extracts the travel log in the range determined by the use data range determination unit from the travel log storage unit;
A feature value calculation unit that calculates a feature value from the travel log extracted by the range-limited data extraction unit;
A server comprising: a driver characteristic calculation unit that calculates the driver characteristic based on the feature amount calculated by the feature value calculation unit. A vehicle driving support device and a server are connected via a network, and the vehicle driving support device provides driving support information based on driver characteristics received from the server,
The vehicle driving support device includes:
Vehicle information classifying unit for obtaining vehicle information, classifying into preset classifications for each element, and providing element classification information;
A transmission / reception unit that transmits the vehicle information to which the element classification information is assigned to the server and receives driver characteristics from the server;
The server
A transmission / reception unit for receiving vehicle information to which the element classification information is given from the vehicle driving support device, and transmitting driver characteristics to the vehicle driving support device;
A data storage unit for storing the vehicle information as a travel log in a travel log storage unit;
A hierarchy level is set for each preset element, is classified for each hierarchy level , and a hierarchy information table to which reliability indicating the degree of usefulness of data in calculating driver characteristics is added ,
The travel log is read, the classification of the hierarchical information table including the travel log is specified from the element classification information with reference to the hierarchical information table, and the traveling log in each of the classifications for each hierarchical level. A classification in which the value representing the ease of calculation of the driver characteristics calculated based on the evaluation value preset according to the accumulated data amount and the reliability is equal to or greater than a threshold value When there is, a use data range determination unit that uses the classification as a range of the travel log used for the driver characteristic calculation ,
A range-limited data extraction unit that extracts the travel log in the range determined by the use data range determination unit from the travel log storage unit;
A feature value calculation unit that calculates a feature value from the travel log extracted by the range-limited data extraction unit;
A vehicle driving support system, comprising: a driver characteristic calculation unit that calculates the driver characteristic based on the characteristic amount calculated by the characteristic value calculation unit. It has a function to provide driving support information based on driver characteristics,
Computer
Vehicle information classifying unit for obtaining vehicle information, classifying into preset classifications for each element, and providing element classification information;
A data storage unit that stores the vehicle information to which the element classification information is given by the vehicle information classification unit in a travel log storage unit as a travel log;
A hierarchy level is set for each element, is classified for each hierarchy level , and a hierarchy information table to which reliability indicating the degree of usefulness of data in calculating driver characteristics is added ,
The travel log is read, the classification of the hierarchical information table including the travel log is specified from the element classification information with reference to the hierarchical information table, and the traveling log in each of the classifications for each hierarchical level. A classification in which the value representing the ease of calculation of the driver characteristics calculated based on the evaluation value preset according to the accumulated data amount and the reliability is equal to or greater than a threshold value When there is, a use data range determination unit that uses the classification as a range of the travel log used for the driver characteristic calculation ,
A range-limited data extraction unit that extracts the travel log in the range determined by the use data range determination unit from the travel log storage unit;
A feature value calculation unit that calculates a feature value from the travel log extracted by the range-limited data extraction unit;
A vehicle driving support program for functioning as a driver characteristic calculation unit that calculates the driver characteristic based on the characteristic amount calculated by the characteristic value calculation unit.

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