JP2003254758A - Device for supporting diagnosis of vehicle driving ability - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for supporting diagnosis of vehicle driving ability capable of supporting the diagnosis of the driving ability of a driver and predicting an effect which will be given by current driving ability in the future. <P>SOLUTION: When the driver recognizes unpredicted experience, information on the unpredicted experience is stored to a storage part 66 for the information on the unpredicted experience in conjunction with experience time, and frequency of the unpredicted experience is calculated from the information. Prediction time of occurrence of a next event or event avoidance ratio for desired age is calculated from the frequency of the unpredicted experience, and these pieces of information are reported to the driver. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the experience frequency of unexpected experiences experienced by a driver, the predicted occurrence time of a predetermined event,
Alternatively, the present invention relates to a vehicle driving ability diagnosis support device that notifies the avoidance rate at which a predetermined event at a desired time can be avoided and thereby assists the driver in diagnosing the vehicle driving ability.

[0002]

2. Description of the Related Art A navigation device mounted on a vehicle is widely used to notify the driver of the current traveling position of the vehicle and to inform the driver of a route to a destination, traffic congestion information, and the like. By using such a navigation device, the driver can enjoy the advantage of being free from the trouble of searching the map.

Further, by using the function of recognizing the traveling position by the navigation device, the road condition of the traveling destination of the vehicle is acquired in advance, and, for example, from the road condition and the information indicating the driving condition of the vehicle, for example, A navigation device having a notification function that can notify the driver of a change instruction for the current driving state such as "Please drop it" has been proposed (see Japanese Patent Laid-Open No. 2001-256598). According to this navigation device, the driver
Appropriate measures can be taken in advance according to the driving instruction information for the road conditions at the destination.

[0004]

However, although the above-mentioned prior art has the effect of assisting the driving of the driver, it assists the diagnosis of the driving ability of the driver, or the present driving ability of the driver gives to the future. The impact is not predictable.

It is an object of the present invention to provide a vehicle driving ability diagnosis support device capable of assisting the driver's driving ability diagnosis and predicting the future influence of the present driving ability.

[0006]

In order to solve the above problems, in the present invention, unexpected experience information experienced by a driver while driving a vehicle is set and stored in association with an experience time,
By calculating and notifying the unexpected experience frequency based on the experience time, the driver can know his or her driving ability from the unexpected experience frequency.

[0007] Further, by predicting the event occurrence prediction time at which a predetermined event occurs from the unexpected experience frequency and notifying it, it is possible to predict the event occurrence time that may occur due to the current driving ability of the driver. You can

Further, the event avoidance rate at which the occurrence of a predetermined event can be avoided at a desired time is calculated from the unexpected experience frequency, and is notified, so that the event avoidance rate based on the current driving ability of the driver can be predicted. .

Furthermore, by collectively reporting the unexpected experience frequency, the event occurrence prediction time, or the event avoidance rate for each experience period, the driver can know the transition history and the variation state of his or her driving ability at each experience period. You can figure it out.

As the unexpected experience information, the unexpected experience information recognized by the driver can be set in association with the experience period. It is also possible to detect the driving information of the vehicle and compare it with the reference driving information, set the driving information that does not correspond to the reference driving information as the unexpected experience information, and automatically set the detection time as the experience time.

As a method of calculating the event occurrence prediction time or the event avoidance rate, for example, Heinrich's law can be adopted. When Heinrich's law is adopted, it is estimated that mild events occur 29 times and severe events occur once when the number of unexpected experiences experienced by the driver is 300 times. For example, when the unpredicted experience frequency up to the experience time H of the latest unpredicted experience is F, the event occurrence prediction time Y at which the driver experiences the next mild or severe event is Y = H + (300 / ( 29 + 1)) / F 2 = H + 10 / F 2 can be estimated.

Further, an event avoidance rate L that can avoid a mild or severe event after X days and days from the latest unexpected experience.
(%) Is L = (1-X · F · (29 + 1) / 300) · 100 = (1−X · F / 10) · 100 (however, if the unexpected experience frequency F is the frequency per day / time) When L <0, it can be estimated as L = 0 (%).

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 shows a vehicle driving ability diagnosis support device 10 of this embodiment mounted on a vehicle.

The vehicle driving ability diagnosis support device 10 is controlled by a navigation ECU (Electrical Control Unit) 12. The navigation ECU 12 is a ROM (Read Only) that stores a navigation program.
Memory), a CPU (Central Processing Uni) that performs processing according to a navigation program stored in a ROM.
t), a RAM (Random Access Memory) for temporarily storing various data generated during processing by the CPU. The navigation ECU 12 calculates a driving route based on the measured traveling position of the vehicle and the destination, guides the driver according to the traveling route, and performs driving ability diagnosis information based on the unexpected experience information that the driver experiences while driving. The calculation notification control of the unexpected experience frequency, the event occurrence prediction time, and the event avoidance rate is performed.

Here, the unexpected experience information is, for example, unexpected experience information that the driver was able to avoid among various events. The unpredictable experience frequency is the frequency of occurrence of the unexpected experience information on a yearly, monthly or daily basis. The event occurrence prediction time is the occurrence prediction time at which an event that the driver cannot avoid occurs. The event avoidance rate is the probability that the driver can avoid the event by a desired time. The navigation ECU 12 calculates an unexpected experience frequency, an unexpected experience frequency calculation unit, an event occurrence prediction time calculation unit that calculates an event occurrence prediction time, an event avoidance ratio calculation unit that calculates an event avoidance rate, and detected vehicle operation. Functions as a driving information determination unit that determines whether information corresponds to reference driving information, and an unexpected prediction information setting unit that sets unexpected prediction experience information that the driver experienced while driving the vehicle in relation to the experience period. To do.

The navigation ECU 12 includes a bus 14
A GPS (Global Positioning System) receiver 16 is connected via the. The GPS receiver 16 receives radio waves from a plurality of GPS satellites via the GPS antenna 18, measures the traveling position of the vehicle based on the reception time difference between the radio waves, and transfers the measurement result to the navigation ECU 12.

The yaw rate sensor 20 detects the traveling direction of the vehicle and outputs the detection result to the navigation ECU 12. The vehicle speed sensor 22 detects the speed of the vehicle and outputs the detection result to the navigation ECU 12. The acceleration sensor 24 detects the acceleration of the vehicle and outputs the detection result to the navigation ECU 12. The accelerator sensor 26 is
The operation amount of the accelerator pedal is detected, and the detection result is output to the navigation ECU 12. The brake sensor 28 is
The operation amount of the brake pedal is detected, and the detection result is output to the navigation ECU 12. Steering sensor 30
Detects the operation amount of the steering wheel and outputs the detection result to the navigation ECU 12. Combination meter 3
2 outputs an on / off state of a hazard lamp, a turn signal, etc. to the navigation ECU 12. The combination switch 34 turns on / off a turn signal, a wiper, a hazard lamp, a head lamp, etc., and outputs a signal at the time of turning on / off to the navigation ECU 12. Yaw rate sensor 20, vehicle speed sensor 22, acceleration sensor 24, accelerator sensor 26, brake sensor 28,
Steering sensor 30, combination meter 3
2. The combination switch 34 constitutes a driving information detection unit that detects driving information of the vehicle by the driver.

The sound pressure sensor 36 detects the sound pressure level in the vehicle and outputs the detection result to the navigation ECU 12. The outside air temperature sensor 38 detects the outside air temperature of the vehicle and outputs the detection result to the navigation ECU 12. The raindrop sensor 40 detects the presence or absence of raindrops at the traveling position of the vehicle, and outputs the detection result to the navigation ECU 12.

The navigation ECU 12 includes a bus 14
The communication device 44 is connected via. The communicator 44 transmits the traveling position of the vehicle via the antenna 46 to the road information center 48.
At the same time, the electric wave is received from the road information center 48, and various road information at the traveling position of the vehicle is taken into the vehicle driving ability diagnosis support device 10. Road information center 4
8 has a control unit 50, extracts road information corresponding to the traveling position transmitted from the vehicle via the communication unit 52 from the road information storage unit 54 and transmits it to the vehicle. The road information may include, for example, traffic jam information, construction information, road surface information, etc. at the traveling position of the vehicle.

Further, the navigation ECU 12 displays an operation unit 56 for inputting a destination and registering unexpected experience information, a traveling position, a destination, a map, etc., and
A display unit 58 for displaying the driving result of the driver, a voice output unit 60 for notifying the driver of desired information, a voice input unit 62 for inputting a destination, unexpected experience information, etc. by voice, a display unit. An image processing unit 64 that generates an image to be displayed on 58 is connected. The display unit 58 and the voice output unit 60 constitute an unexpected prediction experience frequency notification unit, an event occurrence prediction time notification unit, and an event avoidance rate notification unit.

Further, the navigation ECU 12 has
Through the bus 14, a birth date storage unit 65, an unexpected prediction experience information storage unit 66, an unexpected prediction experience frequency storage unit 67, an event occurrence prediction time storage unit 68, an event avoidance rate storage unit 69, a reference driving information storage unit 71, A map database 70 and a calendar 72 are connected.

The date of birth storage unit 65 stores the date of birth of the driver input by the operation unit 56 or the voice input unit 62. The unexpected experience information storage unit 66 stores the unexpected experience information and the experience period. The unexpected prediction experience frequency storage unit 67 stores the unexpected prediction experience frequency in association with the experience period. The event occurrence prediction time storage unit 68 stores the event occurrence prediction time in relation to the experience time. Event avoidance rate storage unit 6
9 stores the event avoidance rate in relation to the experience period. The reference driving information storage unit 71 stores a reference value that is a detection value that can be regarded as a reference driving state of the vehicle by the vehicle speed sensor 22, the accelerator sensor 26, the brake sensor 28, and the like. This reference value is appropriately corrected by the environmental information detected by the outside air temperature sensor 38, the raindrop sensor 40, and the solar radiation sensor 42.

The map database 70 stores map information including road conditions at intersections, intersection information, lane information, facility information, etc. in a storage medium such as a hard disk, a CD or a DVD. The calendar 72 holds the date, time and the like.

Vehicle driving ability diagnosis support device 1 of this embodiment
0 is basically configured as described above,
Next, the operation will be described according to the main flowchart shown in FIG.

First, prior to traveling of the vehicle, the driver
The travel destination is input using the operation unit 56 or the voice input unit 62 (step S1). Navigation ECU 12
Calculates a travel route from the input travel destination and the current vehicle position measured by the GPS receiver 16 (step S2). The calculated traveling route is displayed on the display unit 5 together with the map extracted from the map database 70.
8 is displayed.

Next, when the vehicle starts traveling (step S3), the navigation ECU 12 makes the GPS receiver 1
The current traveling position measured by 6 is acquired (step S4), and the road condition at a predetermined distance from the current traveling position is acquired (step S5).

In this case, the road condition at a predetermined distance ahead is predicted, for example, from the vehicle speed detected by the vehicle speed sensor 22 and the current travel position, and the travel position at a predetermined distance ahead is predicted. The road condition can be acquired from the map database 70 or from the road information storage unit 54 of the road information center 48 via the communication device 44.

The navigation ECU 12 acquires the road condition as described above, notifies the driver of the traveling route, the road condition, etc., and sets the unexpected experience information set by the driver or automatically acquired as described later. Is registered in the unexpected experience information storage unit 66 (step S6).

The process of registering the unexpected experience information in step S6 is performed according to the flowchart shown in FIG.

That is, when the manual input mode of unexpected experience information is selected by the driver (step S
11) When the driver recognizes an unexpected experience while traveling, the driver operates the specific button of the operation unit 56 or uses the voice input unit 62 to display information indicating that the unexpected experience is recognized in the vehicle. Driving ability diagnosis support device 1
It is input to 0 (step S12). Navigation EC
U12 stores the unexpected experience information input by the driver in the unexpected experience information storage unit 66 together with the experience time which is the date and time information at the time of input obtained from the calendar 72 (step S13). When the unpredictable experience information is registered for the first time, the number of experiences and past experience times of past unexpected experience information can be collectively input based on the memory of the driver, for example.

On the other hand, when the automatic input mode of the unexpected experience information is selected (step S11), the navigation ECU 12 causes the yaw rate sensor 20 and the vehicle speed sensor 2 to operate.
2, the driving information detected by the acceleration sensor 24, the accelerator sensor 26, the brake sensor 28, the steering sensor 30, etc. and the reference driving information stored in the reference driving information storage unit 71 are compared, and, for example, the brake sensor 2
When it is determined that the driving information detected by 8 is the driving information corresponding to the sudden braking and the driving information is not the reference driving information (step S14), the driving information is regarded as the unexpected experience information, and the experience time at the time of detection is included. It is stored in the unexpected experience information storage unit 66 (step S13).

Next, after the unpredicted experience information is registered in the unpredicted experience information storage section 66 as described above, the notification method for vehicle driving ability diagnosis is selected (FIG. 2, step S).
7), the notification process according to the selection is performed (steps S8, S9, S10). It should be noted that in each of the notification processes, notification of an unexpected prediction experience frequency, notification of an event occurrence prediction time, and notification of an event avoidance rate, which will be described later, are performed.

The first individual notification in step S8 is selected when the operation of the vehicle driving ability diagnosis support device 10 for the notification processing is performed for the first time. The N-th individual notification in step S9 is selected when the N-th (N = 1, 2, ...) Unexpected experience information is registered. Step S1
The batch notification of 0 is selected when N times (N = 1, 2, ...) Unexpected experience information is registered, and the notification of each experience time of each unexpected prediction information is collectively performed. .

First, according to the flow chart shown in FIG.
The initial individual notification in step S8 will be described. In addition,
In this first-time individual notification, the number of unpredicted experiences as annual unexpected experience information and the experience date and time (experience time) of the latest unexpected experience are stored based on the experience history stored in the driver's memory. It is registered in the section 66 in advance.

When the first individual notification is selected in step S8, the navigation ECU 12 first determines the vehicle speed sensor 2
2 detects the vehicle speed of the vehicle (step 0S1), and when the vehicle is traveling (step 0S2), the display unit 58 or the voice output unit 60 is used to perform the operation related to the first individual notification while the vehicle is stopped. Notify the driver (Step 0
S3), the process ends. This is because the first individual notification requires a data input operation by the driver.

On the other hand, when the vehicle is stopped, the navigation ECU 12 acquires the operation date and time of the vehicle driving ability diagnosis support device 10 from the calendar 72 (step 0S4).
Next, the date of birth input by the driver from the operation unit 56 is acquired (step 0S5). The input birth date is stored in the birth date storage unit 65. The navigation ECU 12 calculates the age of the driver or the number of days from the date of birth to the date of operation from the acquired operation date and time and date of birth (step 0S6).

Next, from the unpredicted experience information stored in the unpredicted experience information storage section 66, the number of unpredicted experiences for one year until the operation day is acquired (step 0S7), and the monthly or daily unpredicted results are obtained. Calculate the experience frequency (Step 0
S8). For example, if the number of unpredictable experiences in one year is 4, the unexpected experience frequency is (1/3) times / month or (4 /
365) times / day.

Further, the navigation ECU 12 acquires the experience date and time of the latest unexpected experience stored in the unexpected experience information storage unit 66 (step 0S9), and uses the obtained experience date and time to detect the next event. The predicted occurrence timing of the event is calculated (step 0S10). For example, when Heinrich's law is applied to the calculation of the event occurrence prediction time, when the number of unpredictable experiences experienced by the driver is 300, mild events occur 29 times and severe events occur once. Since it is estimated that the unpredictable experience frequency is F, the number of dates and times from the latest unexpected experience experience date to the experience of the next mild or severe event is (300 / (2
9 + 1)) / F = 10 / F. Therefore, the next event occurrence prediction time Y (date and time) is obtained as Y = H + 10 / F, where H is the experience date and time obtained in step 0S9.

Furthermore, the navigation ECU 12 acquires the age at which the event avoidance rate is input by the driver from the operation unit 56 and the operator wants to confirm the event avoidance rate (step 0S11), and from the latest experience date of the unexpected experience acquired in step 0S9,
The number of days until the birthday of the age acquired in step 0S11 is calculated (step 0S12). Next, an event avoidance rate capable of avoiding a mild or severe event at the age of the driver to be confirmed is calculated (step 0S13). For example, when Heinrich's law is applied to the calculation of the event avoidance rate, the event avoidance rate L (%) is L = L, where X is the number of days and hours from the latest experience date of the unexpected experience to the birthday of the age to be confirmed. (1-X · F · (29 + 1) / 300) · 100 = (1−X · F / 10) · 100 (However, when L <0, L = 0 (%).) .

After obtaining the unexpected experience frequency, the event occurrence prediction time and the event avoidance rate as described above, the navigation ECU 12 sends these pieces of information to the driver via the display unit 58 or the voice output unit 60. Notify (step 0S14). In this case, in the first individual notification, the unexpected experience frequency, the predicted occurrence time of the next event, and the event avoidance rate at a desired age are guided as specific numerical information from the experience history stored in the driver's memory. Therefore, the driver can be aware of his / her driving ability, driving situation, and the like.

Further, each notified information is accumulated in the unexpected experience frequency storage unit 67, the event occurrence prediction time storage unit 68, and the event avoidance rate storage unit 69 (step 0S15).

Next, according to the flow chart shown in FIG.
The N-th individual notification in step S9 will be described.

The navigation ECU 12 registers the N (N = 1, 2, ...) Unpredicted experience information by the driver or automatically registers the Nth unexpected experience information (step NS1). The (N-1) th unpredicted experience information and the Nth unpredicted experience information are acquired from the unpredicted experience information storage unit 66 (step NS2). In addition,
The 0th unpredicted experience information is the latest unpredicted experience information registered by the driver prior to the above-described first individual notification.

Further, the navigation ECU 12 uses the date of birth of the driver stored in the date of birth storage unit 65 to obtain the driver's age or date of birth at the experience date and time of the N-th unexpected unexpected experience information acquired. The number of days from the date to the experience date and time is calculated (step NS3).

Next, the number of elapsed days and times from the experience date / time of the (N-1) th unexpected experience information to the experience date / time of the Nth unexpected experience information is calculated (step NS4). Using this elapsed date and time number DN, the monthly or daily unpredicted experience frequency FN for the two times of experience of the (N-1) th unpredicted experience information and the Nth unexpected experience information is FN = 2 / DN (step NS5).

Further, the navigation ECU 12 uses the elapsed date / time number DN obtained in step NS4 to calculate an event occurrence prediction time at which the next event will occur (step N).
S6). For example, when Heinrich's law is applied to the calculation of the event occurrence prediction time, the number of days and times until the next mild or severe event is experienced is (300 / (29 + 1)) / It is obtained as FN = 10 / FN. Therefore, the next event occurrence prediction time YN is obtained as YN = HN + 10 / FN, where HN is the experience date and time of the N-th prediction unexpected experience information.

Next, when the navigation ECU 12 detects that the vehicle is traveling (step NS
7) Using the display unit 58 or the voice output unit 60, after notifying the unpredictable experience frequency and the event occurrence prediction time obtained in steps NS5 and NS6 (step NS8), these information are stored in the unpredictable experience frequency storage unit. 67 and the event occurrence prediction time storage unit 68 (step NS9), and the process ends. The event avoidance rate is not processed while the vehicle is running, because the driver needs to input data.

On the other hand, when the vehicle is stopped, the navigation ECU 12 acquires the age for which the event avoidance rate is input from the operation unit 56 by the driver and whose confirmation is desired (step NS10). The number of days until the birthday of the age acquired in step NS10 is calculated from the experience date and time of the experience (step NS11).
Next, an event avoidance rate capable of avoiding a mild or severe event at the age of the driver to be confirmed is calculated (step NS12). In this case, the event avoidance rate is 0S
It can be obtained in the same manner as in the case of 13.

After the unexpected experience frequency, the event occurrence prediction time, and the event avoidance rate at the time when the N-th unexpected experience information is acquired as described above, the navigation ECU 1
2 notifies the driver of this information via the display unit 58 or the voice output unit 60 (step NS1).
3). In this case, in the Nth individual notification, the unexpected unexpected experience frequency, the next predicted event occurrence time, and the event avoidance rate at the desired age are guided as specific numerical information from the latest unexpected unexpected experience information that is updated at any time. It

The notified information is accumulated in the unexpected experience frequency storage unit 67, the event occurrence prediction time storage unit 68, and the event avoidance rate storage unit 69 (step NS14).

Next, the batch notification in step S10 will be described with reference to the flowcharts shown in FIGS. Note that this collective notification is selected while the vehicle is stopped.

When the collective notification is selected, the navigation ECU 12 acquires the operation date and time of the vehicle driving ability diagnosis support device 10 from the calendar 72 (step SS1). Next, the experience date and time of the N-th unexpected experience information stored in the unexpected-experience information storage unit 66 is acquired (step S
S2).

Next, the number of elapsed date / time D (N + 1) from the experience date / time of the N-th unexpected experience information obtained in step SS2 to the operation date / time obtained in step SS1 is calculated (step SS3). In addition, the unexpected experience information storage unit 66
To (N-1) the experience date and time of the unpredicted experience information for the first time, and the elapsed date and time number DN from this experience date and time to the experience date and time of the N-th time unexpected experience information is calculated (step SS
4).

The number of elapsed date / time DN / 2 is compared with D (N + 1) (step SS5). If D (N + 1) ≦ DN / 2, only a short time has passed since the latest unexpected experience information was registered. If it is determined that there is not, the processing in step SS6 and subsequent steps is performed.

First, the navigation ECU 12 acquires the experience date and time of all the unexpected experience information stored in the unexpected experience information storage unit 66 (step SS6). Next, all unpredicted experience frequencies for each month for each experience date and time are acquired from the unpredicted experience frequency storage unit 67 (step SS).
7). The acquired unexpected experience frequency per month is displayed on the display unit 58 in the order of each experience date and time (step SS).
8).

Next, the navigation ECU 12 acquires all event occurrence prediction times accumulated in the event occurrence prediction time storage unit 68 (step SS9), and step SS
A list is displayed in order of each experience date and time acquired in step 6 (step S
S10).

Further, when the age of the driver whose event avoidance rate is desired to be confirmed is input from the operation unit 56, the navigation ECU 12 acquires the age (step SS1).
1), The number of days from each experience date and time of all the unexpected experience information to the birthday of the age is calculated (step SS12).
Next, all unpredicted experience frequencies of each experience date and time are acquired from the unpredicted experience frequency storage unit 67 (step SS13), and from each experience date and time of all unpredicted experience information, step SS11.
Each event avoidance rate up to the age acquired in step S14 is calculated (step SS14). The calculated event avoidance rates are displayed in a list in order of each experience date and time (step SS15).

On the other hand, in step SS5, D (N +
When it is determined that 1)> DN / 2, it is determined that a long time has passed since the latest unpredictable experience information was registered, and the processing of step SS16 and thereafter is performed.

First, using the number of elapsed days and times D (N + 1) from the registration of the latest unpredicted experience information to the current operation date, the unexpected experience frequency is calculated as 1 / D (N + 1) (step SS16). . Then, steps SS6 and SS
In the same manner as 7, the experience date and time and the unexpected experience frequency of all the unexpected experience information are acquired (steps SS17 and SS1).
8), a list is displayed together with the unexpected experience frequency obtained in step SS16 (step SS19).

Further, the navigation ECU 12 calculates the next event occurrence prediction time from the unpredictable experience frequency obtained in step SS16 (step SS20),
All the event occurrence prediction times accumulated in the event occurrence prediction time storage unit 68 are acquired (step SS21), and a list is displayed in order of each experience date and time together with the event occurrence prediction times obtained in step SS20 (step SS22).

Thereafter, as in the case of steps SS11 to SS15, a list of event avoidance rates for all experience dates is displayed (steps SS23 to SS27).

In this way, by displaying each unexpected experience frequency, each event occurrence prediction time, and each event avoidance rate together with all the experience dates and times of the unexpected experience information, the change of the driving ability of the driver up to the present time Can be grasped. As a result, the driver can specifically recognize his or her driving ability.

In the above description, the unexpected experience frequency, the event occurrence prediction time, and the event avoidance rate are collectively reported, but desired information may be individually selected and reported.

[0064]

As described above, according to the present invention, the unpredictable experience frequency of the unexpected experience information experienced by the driver, the predicted occurrence time of the next event, or the event avoidance rate at a desired age is set to the driver. Can be notified. These pieces of information are useful information when the driver diagnoses his or her driving ability. Also, it is possible to predict the influence of the present driving ability on the future from these information.

[Brief description of drawings]

FIG. 1 is a configuration block diagram of a vehicle driving ability diagnosis support device of the present embodiment.

FIG. 2 is a main flowchart of the vehicle driving ability diagnosis support device of the present embodiment.

FIG. 3 is a flowchart of registration processing of unpredictable experience information in the vehicle driving ability diagnosis support device of the present embodiment.

FIG. 4 is a flowchart of initial individual notification in the vehicle driving ability diagnosis support device of the present embodiment.

FIG. 5 is a flowchart of an Nth individual notification in the vehicle driving ability diagnosis support device of the present embodiment.

FIG. 6 is a flowchart of collective notification in the vehicle driving ability diagnosis support device of the present embodiment.

FIG. 7 is a flowchart of collective notification in the vehicle driving ability diagnosis support device of the present embodiment.

[Explanation of symbols]

10 ... Vehicle driving ability diagnosis support device 12 ... Navigation ECU 16 ... GPS receiver 20 ... Yaw rate sensor 22 ... Vehicle speed sensor 24 ... Acceleration sensor 26 ... Accelerator sensor 28 ... Brake sensor 30 ... Steering sensor 32 ... Combination meter 34 ... Combination switch 36 Sound pressure sensor 38 Outside temperature sensor 40 Raindrop sensor 42 Solar radiation sensor 44 Communication device 48 Road information center 54 Road information storage 56 Operation unit 58 Display 60 Sound output unit 62 Sound input unit 65 ... Birth date storage unit 66 ... Unexpected experience information storage unit 67 ... Unexpected experience frequency storage unit 68 ... Event occurrence predicted time storage unit 69 ... Event avoidance rate storage unit 70 ... Map database 71 ... Standard driving information storage unit 72 …calendar

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Noboru Uchida             19 Matsuyama Town, Moka City, Tochigi Prefecture Honda Motor Co., Ltd.             Company Tochigi Seisakusho (72) Inventor Hiroki Miyata             19 Matsuyama Town, Moka City, Tochigi Prefecture Honda Motor Co., Ltd.             Company Tochigi Seisakusho F term (reference) 2F029 AA02 AB07 AC02 AC12 AC13                       AC14 AC18 AC20                 5H180 AA01 BB04 BB13 CC12 FF05                       FF12 FF13 FF22 FF25 FF27                       FF32

Claims (7)

[Claims] 1. An unpredictable experience information setting unit for setting unexpected experience information experienced by a driver while driving a vehicle in relation to an experience period, and an unexpected experience information storage unit for storing the unexpected experience information. A vehicle comprising: an unpredicted experience frequency calculation unit that calculates an unexpected prediction experience frequency from the unexpected prediction experience information and the experience time; and an unexpected prediction experience frequency notification unit that notifies the unexpected prediction experience frequency. Driving ability diagnosis support device. 2. The vehicle driving ability diagnosis support device according to claim 1, wherein the unpredictable experience frequency notification unit collectively notifies the unpredictable experience frequency for each experience period. 3. An unpredictable experience information setting section for setting unpredictable experience information experienced by a driver while driving a vehicle in relation to an experience period, and an unpredictable experience information storage section for storing the unpredictable experience information. An unexpected-experience-frequency calculating unit that calculates an unexpected-experience-frequency from the unexpected-experience-information and the experience-time; and an event-occurrence-predicting time that calculates an event-occurrence-predictive-time when a predetermined event occurs from the unexpected-experience-frequency A vehicle driving ability diagnosis support device, comprising: a calculation unit; and an event occurrence prediction time notification unit that notifies the event occurrence prediction time. 4. The vehicle driving ability diagnosis support device according to claim 3, wherein the event occurrence prediction time notification unit collectively notifies the event occurrence prediction time for each experience time. 5. An unpredictable experience information setting unit for setting unpredictable experience information experienced by a driver while driving a vehicle in association with an experience period, and an unpredictable experience information storage unit for storing the unpredictable experience information. An unexpected-experience-frequency calculating unit that calculates an unexpected-experience frequency from the unexpected-experience information and the experience time; and an event avoidance rate that can avoid occurrence of a predetermined event at a desired time from the unexpected-experience frequency A vehicle driving ability diagnosis support device, comprising: an event avoidance rate calculation unit that performs the above; and an event avoidance rate notification unit that notifies the event avoidance rate. 6. The vehicle driving ability diagnosis support device according to claim 5, wherein the event avoidance rate notification unit collectively notifies the event avoidance rate for each experience period. 7. The device according to claim 1, further comprising: a driving information detection unit that detects driving information of the vehicle; and a driving that determines whether the driving information corresponds to reference driving information. The unexpected-experience-experience-information setting unit includes an information determination unit and the unexpected-experience-experience information when the driving information is detected as the experience time when it is determined that the driving information does not correspond to the reference driving information. A vehicle driving ability diagnosis support device, wherein: