Vehicle equipment, processing method for vehicle equipment, safe driving system, and vehicle program

Abstract

This invention provides a vehicle device that can appropriately notify various drivers, a processing method for the vehicle device, a safe driving system, and a vehicle program. [Solution] The normal driving indicator acquisition unit 23 acquires a normal driving indicator that represents the driver's usual driving style. The learning specified range deviation determination unit 24 determines whether the driving indicator, which represents the driver's driving operations, deviates from the specified range of learned values ​​obtained by learning the driving record data of the driving indicator. The learning specified range change unit 25 changes the specified range of learned values ​​according to the normal driving indicator. The notification control unit 22 provides notification control to the driver according to the determination result of the learning specified range deviation determination unit 24.

Description

Technical Field

[0001] The present invention relates to a vehicle device, a method for processing a vehicle device, a safe driving system, and a vehicle program.

Background Art

[0002] There has been provided a technique for generating an alarm when the driver makes the inter-vehicle time fluctuate by approaching the preceding vehicle too closely or moving away from the preceding vehicle too much compared to normal driving operations (see, for example, Patent Document 1). By applying this technique, it is easy for the driver to notice that they are performing driving operations different from normal due to factors such as poor physical condition. Also, there has been provided a technique for generating an alarm when the brake reaction timing is different from normal driving operations. Again, in this case, it is easy for the driver to notice that they are performing driving operations different from normal.

[0003] This type of system learns driving operations from normal times and updates the learning value by detecting driving operations. As a result, the changing normal driving operations can be reflected in the learning value. In this case, since driving operations can be learned for each driver, a learning value tailored to each driver can be calculated.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] For example, in the technology described in Patent Document 1, the system determines whether the driving behavior is significantly different from normal by comparing it to a predetermined range of learned values, such as 30%, and determining whether it deviates from the predetermined range of learned values. However, since no warning is issued unless the driving behavior deviates from this predetermined range, drivers who are normally prone to dangerous driving may continue to drive dangerously, which is undesirable. Furthermore, it is desirable to take some kind of action even for drivers who normally drive safely if their driving behavior differs from their usual behavior.

[0006] The purpose of this disclosure is to provide a vehicle device, a processing method for the vehicle device, a safe driving system, and a vehicle program that can appropriately notify various drivers. [Means for solving the problem]

[0007] According to the invention described in claim 1, the normal driving index acquisition unit acquires a normal driving index representing the driver's usual driving style, and the learning specified range deviation determination unit determines whether the driving index representing the driver's driving operation deviates from the specified range of learned values ​​obtained by learning the driving record data of the driving index. The learning specified range change unit changes the specified range of learned values ​​according to the normal driving index. The notification control unit provides notification control to the driver according to the determination result of the learning specified range deviation determination unit.

[0008] For example, if the normal driving indicator, which represents the driver's usual driving style, is set to the safe side, the specified range of the learned value will be changed to match the safe side. If it is set to the dangerous side, the specified range of the learned value will be changed to match the dangerous side. As a result, the learning specified range change unit changes the specified range of the learned value according to the normal driving indicator, and the notification control unit controls the notification to the driver according to the determination result of the learning specified range deviation determination unit. This allows the notification content to be appropriately set according to the driver's specified range of learned value, enabling appropriate notifications to be provided to various drivers. [Brief explanation of the drawing]

[0009] [Figure 1] Electrical configuration diagram of the vehicle device and safety driving system in the first embodiment [Figure 2] Vehicle speed dependence characteristics of learned values ​​schematically shown in the first embodiment [Figure 3] Diagram illustrating the defined range of the learned value in the first embodiment. [Figure 4] A flowchart illustrating the processing method in the first embodiment. [Figure 5] Diagram illustrating the notification content according to the conditions in the first embodiment. [Figure 6] Diagram illustrating the warning based on learned values ​​when driving is normally dangerous, as shown in the first embodiment. [Figure 7] Diagram illustrating the notification based on learned values ​​when driving is normally safe, as shown in the first embodiment. [Figure 8] Diagram illustrating the determination value (model threshold) in the first and second embodiments. [Figure 9] A flowchart illustrating the processing method in the second embodiment. [Figure 10] Diagram illustrating the notification based on the judgment value (model threshold) for when driving is normally dangerous, as shown in the second embodiment. [Figure 11] Diagram illustrating the notification based on the judgment value (model threshold) for safe driving under normal circumstances, as shown in the second embodiment. [Figure 12] A diagram illustrating the notification based on learned values ​​and judgment values ​​(model thresholds) when driving is normally safe, as shown in the second embodiment. [Modes for carrying out the invention]

[0010] The following describes several embodiments of vehicle devices, processing methods for vehicle devices, safe driving systems, and vehicle programs with reference to the drawings. Parts with the same function between embodiments may be denoted by the same or similar reference numerals, and their description may be omitted.

[0011] (First Embodiment) The first embodiment will be described with reference to Figures 1 to 8. As shown in Figure 1, a safe driving system 10 is configured inside the vehicle. The safe driving system 10 is mainly composed of the vehicle device 20 shown in Figure 1, and also includes other components connected to the vehicle device 20.

[0012] A vehicle contains multiple ECUs, which communicate with each other via an in-vehicle network and use I / O configured in each ECU to input and output signals to and from various functional units. ECU stands for Electronic Control Unit, and is an electronic control device. The ECUs include the display system ECU HCU20, the driving control system ECU30, and the wireless communication unit 31 using DCM and TCU. DCM stands for Data Communication Module, and TCU stands for Telematics Control Unit.

[0013] Figure 1 functionally illustrates the ECU, along with the vehicle device 20, the driving control system ECU 30, and the wireless communication unit 31. It also functionally represents the in-vehicle configuration connected to the vehicle device 20 via a local or in-vehicle network. Figure 1 functionally illustrates a typical configuration related to the present invention, and it should be noted that it is not necessary to have all the configurations shown in Figure 1, and that there are other functional elements configured within the vehicle.

[0014] A wireless communication unit 31 is connected to the vehicle device 20, and communication with an external network 40 is possible through the wireless communication unit 31. A center 41 is connected to the external network 40. The center 41 consists of various servers and data centers connected to a database 42.

[0015] Each ECU including the vehicle device 20 is mainly composed of a microcomputer or SoC (System on Chip) having a processor, a cache memory, a volatile memory or non-volatile memory such as RAM and ROM, an I / O, and a bus connecting these components. SoC is an abbreviation for System on Chip. The storage unit 21 represents a non-transitory physical storage medium that non-temporarily stores programs and data readable by a computer. The non-transitory physical storage medium is realized by a semiconductor memory or the like. A database 21a is constructed in the storage unit 21.

[0016] The vehicle device 20 realizes functions as a notification control unit 22, a normal driving index acquisition unit 23, a learning regulation range deviation determination unit 24, a learning regulation range change unit 25, a model threshold input unit 26, a model threshold determination unit 27, a driver determination unit 28, and a relative speed input unit 29 by executing the programs stored in the storage unit 21. Although the functional configurations of the present embodiment and the embodiments described later are illustrated, these functions may be omitted as appropriate. Details of these functions will be described later.

[0017] As schematically shown in FIG. 1, a display unit 32, a speaker 33, a microphone 34, an operation input unit 35, a position detector 36, a peripheral camera 37, a distance detection sensor 38, and an occupant monitor 39 are installed in the vehicle and connected to the vehicle device 20.

[0018] The display unit 32 is composed of a center information display, an electronic mirror, etc. The notification control unit 22 of the vehicle device 20 controls the display of images, texts, and character contents in the display area on the display screen of the display unit 32. Also, the notification control unit 22 controls the output of sounds such as pseudo voice and warning sounds from the speaker 33. Further, the vehicle device 20 inputs and performs voice recognition on the voice input from the microphone 34.

[0019] The operation input unit 35 is a touch panel configured on the display unit 32 or a mechanical switch provided beside the touch panel. When there is an operation input by an occupant, it receives the operation input and outputs an operation signal to the vehicle device 20. The vehicle device 20 executes control based on the operation signal of the operation input unit 35.

[0020] The position detector 36 uses a well-known GNSS receiver such as a GPS (not shown), an acceleration sensor, a gyroscope, and other inertial sensors to detect the position with high precision and outputs a position detection signal to the vehicle device 20. The vehicle device 20 functions as an ADAS locator, accurately and sequentially determining the vehicle's current position based on map information input from a map data inputter and the position detection signal from the position detector 36. ADAS stands for Advanced Driver Assistance Systems.

[0021] Furthermore, vehicle positioning can be performed using various configurations as long as the location of the vehicle Ca can be determined, such as based on information about the distance traveled, which is obtained based on the sensing results from a vehicle speed sensor mounted on the vehicle Ca. The vehicle device 20 can perform so-called navigation processing based on the current position of the vehicle Ca.

[0022] The surrounding cameras 37 are surrounding monitoring sensors that include a front camera that captures images in front of the vehicle Ca, a rear camera that captures images behind the vehicle Ca, corner cameras that capture images on the front and rear sides of the vehicle Ca, or side cameras that capture images on the sides of the vehicle Ca, as well as electronic mirrors, etc. These are output to the vehicle device 20 as imaging signals for the front guide monitor, rear guide monitor, corner view monitor, and side guide monitor, respectively.

[0023] The vehicle Ca is also equipped with a distance detection sensor 38 as a surrounding monitoring sensor to detect the distance to obstacles. The distance detection sensor 38 consists of a clearance sonar, LiDAR, and radar using millimeter waves or quasi-millimeter waves, and can detect vehicles, people, animals, road debris, guardrails, curbs, trees, etc. that are close to the preceding vehicle Cb, the front side, rear side, rear of the vehicle, or the side of the vehicle. It can also detect the direction to obstacles and the distance to obstacles. Furthermore, the surrounding monitoring sensor described above can detect road markings such as lane markings, stop lines, pedestrian crossings, "STOP" signs and other markings on the road around the vehicle Ca, and stop lines displayed at the boundaries of intersections.

[0024] The occupant monitor 39 detects the state or operating status of occupants inside the vehicle. The occupant monitor 39 monitors the occupants' state using a steering sensor that detects whether the driver is gripping or steering the steering wheel, an occupancy sensor that detects whether the occupant is seated in the seat, and an accelerator pedal or brake pedal depression sensor. The occupant monitor 39 can monitor the suddenness of steering operations, the way the accelerator and brake pedals are operated, i.e., sudden steering, sudden acceleration, sudden deceleration, etc. The occupant monitor 39 may also monitor whether the occupant has operated the turn switch to activate the turn signal, or various switches to instruct driver assistance or a predetermined level of automated driving.

[0025] In addition, the occupant monitor 39 is configured to monitor occupants by detecting their status through image sensors that capture images of the occupants in the driver's seat or passenger seat. The driver monitor is called DSM. DSM stands for Driver Status Monitor. The occupant monitor 39 acquires image signals by irradiating the driver's head with near-infrared light, performs image analysis as needed, and outputs the results to the vehicle device 20. This occupant monitor 39 is used to detect the status of occupants such as the driver during manual driving, driving assistance, or automated driving. The vehicle device 20 can determine the behavior of the vehicle occupants, for example, the direction in which the occupants' gaze is directed, based on the output signals from the occupant monitor 39. The vehicle device 20 can also perform a predetermined level of driving assistance or automated driving by activating the driving control system ECU 30.

[0026] The vehicle device 20 constructs driving record data of driving indicators based on signals acquired from each of the aforementioned components and stores it in the database 21a of the storage unit 21. For example, the driving record data may include the time between the vehicle and the preceding vehicle Cb during normal driving, the time between the vehicle and the preceding vehicle Cb at the timing of brake operation commencement, steering operations such as sudden steering, accelerator operations such as sudden starts and sudden acceleration, and / or braking operations such as sudden deceleration. In addition, the distance between vehicles, brake on / off timing, and the timing when the engine speed exceeds a predetermined value may also be included in the driving record data.

[0027] The vehicle device 20 may record driving record data in the storage unit 21 in association with the current location identified by the navigation function using the position detector 36 and the driver's driving area. In addition, images captured by the surrounding camera 37 and the behavior of the vehicle occupants as measured by the occupant monitor 39 may also be recorded in the storage unit 21 as driving record data.

[0028] Furthermore, the driver can input personal information into the vehicle device 20 using the operation input unit 35, or personal information can be input into the vehicle device 20 via the wireless communication unit 31 from a portable terminal carried by an occupant (not shown). Personal information may include, for example, the driver's age, the type of driver's license held, driving history, and driving violation history. In this case, some or all of the personal information may be included as metadata in the driving record data.

[0029] <Regarding the learned values ​​of each driver's driving indicators> The vehicle device 20 stores the aforementioned driving record data of its own vehicle Ca in a database in the storage unit 21, and calculates learned values ​​by learning the driving record data of driving indicators. The vehicle device 20 calculates learned values ​​by referring to the past driving history driving record data stored in the storage unit 21 and processing it in a predetermined way. Here, in order to simplify the explanation of this invention, we will explain using an example in which the driving indicator of "interval time between vehicles" (hereinafter simply abbreviated as interval time) is used as the learning target, and its evaluation value is calculated as the learned value. Note that the learned value may be calculated by taking into account other driving indicators in addition to interval time. For example, the learned value may be calculated by taking into account steering operations such as sudden steering, the way in which acceleration is performed by accelerator operation, and the way in which deceleration is performed by applying the brakes. Alternatively, the learned value may be calculated using other driving indicators besides interval time.

[0030] The interval between vehicles is called THW or Time Headway. THW is a value obtained by dividing the distance to the preceding vehicle Cb by the driving speed of the vehicle Ca, and this indicates the time it takes for the vehicle Ca to reach the current position of the preceding vehicle Cb. The interval between vehicles is calculated based on the images captured by the surrounding camera 37 and / or sensor signals such as the distance detection sensor 38. The vehicle device 20 sets a learned value by calculating the average or median of the most recent predetermined number of interval times in the driving record data, and changes and updates it as needed. In addition, the learned value of other driving indicators such as TTC (Time To Collision) may be calculated. TTC is a value calculated by dividing the distance to the preceding vehicle Cb by the speed difference, i.e., relative speed, and is called the collision margin.

[0031] The learned values ​​for each driver's driving indicators may be calculated in the local environment within the vehicle, for example, within the vehicle device 20, or the driving record data may be sent to the center 41, and the center 41 may use its resources to calculate the learned values ​​for the driving indicators.

[0032] Figure 2 illustrates the results of linear approximation of the following time between vehicles of a target driver acquired under various environmental conditions, as learned values. The vehicle travels on both general roads G and highways H due to the driver's driving operations. The vehicle device 20 distinguishes between these driving conditions using its navigation function, sequentially records the driving conditions on general roads G and highways H, and sequentially updates the learned values. The distinction between general roads G and highways H may be made based on the average vehicle speed during driving or the frequency of braking operations.

[0033] The database 21a of the memory unit 21 stores learned values ​​of driving record data corresponding to vehicle speed. For example, the following time tends to increase as the vehicle speed increases. Also, the following time tends to be longer when driving on a highway H compared to when driving on a general road G. Therefore, under certain conditions of vehicle speed (e.g., V0), the relationship between the learned value of the following time on a general road G (Tg) and the learned value on a highway H (Th) is Th > Tg.

[0034] When the period from turning the vehicle's ignition switch on to off is defined as the driving period, the vehicle device 20 calculates a learned value by calculating the average or median of the inter-vehicle time for the most recent predetermined number of driving periods in the driving record data. The learned value is changed each time the vehicle is driven, but it has been found that these learned values ​​differ depending on the driver's attributes such as gender, age, and personality. In this embodiment, in order to determine whether the driver is driving differently from their usual driving, a specified range including the learned value learned from their usual driving indicators is defined during the learning process, as shown in Figure 3.

[0035] This learned value and its specified range are determined according to the normal driving index, which indicates the driver's usual driving style. The normal driving index is an index that indicates whether the driver's usual driving is safe or dangerous on a multi-level or continuous scale, and is stored in the memory unit 21.

[0036] When the vehicle device 20 sets the normal driving indicator, it sets it to "dangerous" if the time between the vehicle and the preceding vehicle Cb tends to be shorter than a predetermined value, and to "safe" if the time tends to be longer than a predetermined value. The vehicle device 20 acquires the normal driving indicator from the memory unit 21 using the function of the normal driving indicator acquisition unit 23. The vehicle device 20 refers to the normal driving indicator and determines whether the driver is a driver who usually drives safely (function of the driver determination unit 28), or whether the driver is a driver who drives dangerously. To simplify the explanation of this invention, a form in which the normal driving indicator is defined in two stages, "safe" or "dangerous," will be described here.

[0037] The normal driving indicator is not limited to the time between vehicles when braking begins, but may also be set and modified based on the way the vehicle is steered, accelerated, and / or braked. In other words, a driver who frequently makes sudden steering maneuvers may be judged as "dangerous," while a driver who steers relatively gently may be judged as "safe." Similarly, a driver who frequently accelerates or decelerates suddenly may be judged as "dangerous," while a driver who accelerates or brakes gently may be judged as "safe."

[0038] Drivers deemed relatively "dangerous" tend to maintain a relatively short distance from the vehicle ahead (Cb) even during normal driving, and their following time to the vehicle ahead (Cb) and the time before braking are also relatively short. Their reaction time to driving and braking operations also tends to be quicker compared to the average driver.

[0039] Therefore, the variability of the sampling values ​​for inter-vehicle time tends to be small, and the variance of the distribution of inter-vehicle time tends to be small. When the normal driving indicator is determined to be "dangerous," the specified range for the learned value is set more strictly, and the specified range ±D1% for inter-vehicle time is set to a relatively narrow range. See the specified range ±D1% in the upper diagram of Figure 3. Here, the specified range ±D1 is the same value in the positive and negative directions relative to the learned value, but they may be different values. When the normal driving indicator is set to be "dangerous," it is good to set the specified range for the learned value to a stricter specified range ±D1% and a relatively narrow range, and control the notification control unit 22 to issue a warning when the learned value falls outside the specified range ±D1%. This makes it possible to increase the frequency of warnings compared to when the normal driving indicator is set to be "safe."

[0040] Conversely, drivers who generally drive "safely" tend to maintain a relatively wide distance from the vehicle ahead (Cb) during normal driving, and the time spent following Cb tends to be relatively long, allowing them to drive with ample margin. As a result, they can perform driving operations such as accelerating and braking with ease, although they may apply the brakes as soon as the distance between vehicles narrows in the event of a dangerous situation. Therefore, the variability in the sampling values ​​of the time spent following vehicles tends to be large, and the variance of the distribution of the time spent following vehicles tends to be large.

[0041] Therefore, when the normal driving indicator is set to "safe," the specified range for the learned value is set loosely, and in this case, the specified range ±D2% for the interval time is set to a relatively wide range. See ±D2% in the lower diagram of Figure 3. Here, the specified range ±D2% is the same value in the positive and negative directions relative to the learned value, but they may be different. When the normal driving indicator is set to "safe," it is good to set the specified range for the learned value to a relatively wide range of ±D2%, and control the notification control unit 22 to issue a warning when the learned value falls outside the specified range ±D2%. This reduces the frequency of warnings compared to when the normal driving indicator is set to "dangerous." It is good to set |D1| < |D2| in both the positive and negative directions. || represents the absolute value.

[0042] For the sake of explanation, the learned values ​​of the interval time are shown in Figure 3, corresponding to the interval distance. The example figure shows the results under conditions where the relative speed of the vehicle Ca and the preceding vehicle Cb is constant, and it should be noted that the interval distance between the evaluation points shown is proportional to the interval time. Here, the interval distance between the evaluation points is defined as the distance between the frontmost point of the vehicle Ca and the rearmost point of the preceding vehicle Cb.

[0043] The driver of vehicle Ca, which is habitually judged to be driving "dangerously," tends to maintain a relatively close distance to the preceding vehicle Cb. As a result, the following time tends to be relatively short. Therefore, the learned values ​​are shown in the figure at a position relatively close to the preceding vehicle Cb.

[0044] Conversely, the driver of vehicle Ca, whose driving is normally judged to be "safe," tends to maintain a safe following distance at a position relatively far from the preceding vehicle Cb, in the opposite direction of its direction of travel. As a result, the following time tends to be relatively long, and therefore the learned value is plotted at a position relatively far from the preceding vehicle Cb. Furthermore, in this application, within the specified ranges of ±D1% and ±D2% of the learned value, the side closer to the preceding vehicle Cb is defined as the dangerous threshold, and the side further from the preceding vehicle Cb is defined as the safe threshold.

[0045] The vehicle device 20 stores learned values ​​of driving indicators in the memory unit 21, and if these learned values ​​are deviated from, the notification control unit 22 notifies a message through the display unit 32 or speaker 33, as detailed below. On the other hand, the vehicle device 20 also stores a default judgment value in the memory unit 21 based on the time between the vehicle and the preceding vehicle Cb, and is configured to issue a warning to avoid a collision with the preceding vehicle Cb when this judgment value is reached.

[0046] This judgment value represents a fixed value that indicates an exemplary threshold (hereinafter referred to as the exemplary threshold) that marks the boundary between safe and dangerous intervals between vehicles. When the interval reaches the judgment value, that is, when the interval falls below the judgment value, the notification control unit 22 is configured to notify the driver of the warning through the display unit 32 or speaker 33.

[0047] The vehicle device 20 can be selected by the driver via the operation input unit 35 to either make a determination using a learned value and notify a message, or make a determination using a default determination value and issue a warning. In the following description, in order to explain the contents of the first embodiment, the processing operation when it is selected to make a determination using a learned value and notify a message will be described in detail. That is, the operation during driving that utilizes the learned value and its specified range will be described.

[0048] When the ignition switch is turned on by the driver, the vehicle device 20 is activated. In S1 of Figure 4, the vehicle device 20 refers to the normal driving indicators stored in the memory unit 21 and determines whether the driver is a driver who normally drives "safely". If the vehicle device 20 determines in S1 that the normal driving is safe by referring to the normal driving indicators, in S2 it loosens the specified range of the learned value and expands it to the specified range ±D2%.

[0049] Conversely, if the vehicle device 20 determines in S1 that the normal driving is "dangerous" by referring to the normal driving indicators in the memory unit 21, then in S3 it sets the specified range of the learned value more strictly, reducing it to the specified range ±D1%.

[0050] Next, in S4, the vehicle device 20 detects the time between the vehicle and the preceding vehicle Cb and records it in the database 21a of the storage unit 21 as driving record data for driving indicators. In S5, the vehicle device 20 determines whether the driver has set it to notify using learned values, and if so, proceeds to S6.

[0051] During normal driving, the vehicle device 20 compares the inter-vehicle time detected in S6 with a learned value and determines whether the inter-vehicle time deviates from the specified range of the learned value (function of the learning specified range deviation determination unit 24). At this time, the vehicle device 20 acquires vehicle speed information during normal driving and acquires a learned value corresponding to the vehicle speed. Also, when the navigation function identifies whether the vehicle is driving on a general road G or a highway H, it selects a learned value corresponding to general road G or highway H.

[0052] The notification control unit 22 of the vehicle device 20 notifies a message in S7 if the learned value deviates from a specified range in S6. As shown in Figure 5, this message indicates a strong warning, a weak warning, or a message worthy of praise or praise (expression of concern).

[0053] As shown in the upper part of Figure 6, even if the driver is normally judged to be driving safely, if the following distance becomes shorter than the specified range ±D2% of the learned value, the notification control unit 22 will issue a weak warning from the display unit 32 or speaker 33. See the relatively "weak warning" shown in the upper left of Figure 5. For example, it is good practice to issue a relatively weak warning compared to those described later, such as "You are closer to the preceding vehicle Cb than usual, so please be careful."

[0054] Furthermore, as shown in the lower diagram of Figure 6, if the following time of the vehicle Ca becomes longer than the specified range ±D2% of the learned value, even if the vehicle is normally judged to be driving safely, the notification control unit 22 may notify the driver with a message of praise or a word of concern from the display unit 32 or speaker 33. See "Praise (Word of Concern)" illustrated in the upper right of Figure 5.

[0055] The notification control unit 22 may also send messages of praise via the display unit 32 or speaker 33, such as, "You are further away from the preceding vehicle Cb than usual, thank you for making an effort to maintain a safe distance from the preceding vehicle Cb," or messages of concern via the display unit 32 or speaker 33, such as, "You are a little further away from the preceding vehicle Cb than usual, are you alright?" In other words, even when the driver is intentionally maintaining a wider distance due to reasons such as not feeling well, these messages of concern can make the driver more aware of the distance from the preceding vehicle Cb.

[0056] As shown in the upper part of Figure 7, if the vehicle device 20 determines that the driving is "dangerous" even when referring to the normal driving indicators, and the interval between vehicles at the start of braking of the vehicle Ca deviates from the specified range of learned values ​​towards the dangerous side, the notification control unit 22 will issue a strong warning from the display unit 32 or speaker 33. See the relatively "strong warning" shown in the lower left of Figure 5. For example, it is good to issue a relatively strong warning compared to the above, such as "There is a high risk of collision with the preceding vehicle Cb, so please be careful."

[0057] As shown in the lower part of Figure 7, if the driver's driving is normally judged to be dangerous, but the following distance deviates from the specified range of learned values ​​to the safe side, the notification control unit 22 will notify the driver of a praise message or commendation message from the display unit 32 or speaker 33. See "Praise (Commendation)" shown in the lower right of Figure 5. For example, it is good to notify the driver of a praise or commendation message such as, "You are maintaining a greater distance from the preceding vehicle Cb than usual. Thank you for making an effort to maintain a safe distance from the preceding vehicle Cb." As shown above, specific examples can be given.

[0058] Furthermore, it is advisable to determine whether other driving indicators, such as steering, acceleration, and braking, differ from the usual behavior, and to modify the message content accordingly. For example, if a driver who frequently makes sudden steering maneuvers is judged as "dangerous," the steering operation time will be relatively short when making sudden turns. Therefore, the message content may be changed depending on whether the driver deviates from a predetermined range of relatively short durations based on the learned value. Conversely, if a driver who does not normally make sudden steering maneuvers is judged as "safe," the steering operation time will be relatively long. Therefore, the message delivery method and content may be changed depending on whether the driver deviates from a predetermined range of relatively long durations based on the learned value of the steering operation time. Although details are omitted, similar learned values ​​may be set for the usual acceleration and braking behavior, and the predetermined range of these learned values ​​may be set according to the usual driving indicators to deliver messages.

[0059] Although not described in detail in this embodiment, if it is determined in S5 of Figure 4 that the occupant has not set the system to notify using the learned value, the system proceeds to S8. In S8, the vehicle device 20 determines whether the occupant has set the system to notify using the determination value, and if so, proceeds to S9. In S9, if the determination value has been reached, the vehicle device 20 issues a warning in S10. As a result, the vehicle device 20 can issue a warning when the interval time reaches the determination value. The notification control unit 22 can also control the driver to issue a warning based on the determination result of the model threshold determination unit 27. Details of how to set and update the determination value will be explained in the second embodiment.

[0060] <Comparative Example> In the technology described in Patent Document 1, if the detected interval between vehicles is not within 30% of the learned interval value corresponding to the vehicle speed, it is determined that the deviation from the learned value is due to a change in normal driving behavior. However, since no warning is issued unless the deviation is within a fixed specified range, drivers who are normally prone to dangerous driving may continue to drive dangerously, which is undesirable. For example, it would be desirable to notify even drivers who normally drive safely if their driving deviates from their usual behavior.

[0061] <Summary of this embodiment> According to this embodiment, the vehicle device 20 changes the specified range of learned values ​​±D1% and ±D2% according to the normal driving indicators, determines whether the interval between vehicles deviates from the specified range of learned values ​​±D1% and ±D2% obtained from driving record data, and provides notification control to the driver according to the result of this determination.

[0062] In particular, the vehicle device 20 changes the specified ranges ±D1 and ±D2 of the learned values ​​according to the normal driving indicators, determines whether or not the values ​​deviate from the specified ranges ±D1 and ±D2, and does not notify the driver of a message if there is no deviation, but notifies the driver of a message if there is a deviation.

[0063] Specifically, in addition to determining whether the learning value of the normal driving time deviates from the specified range, the specified ranges of the learning values of the inter-vehicle time, ±D1 and ±D2, are set and changed according to whether the normal driving of the driver is safe or dangerous. As a detailed example, although the above-mentioned message will be notified, an appropriate message can be notified to both safe / dangerous drivers in general. Messages can also be notified attentively to drivers who drive safely normally.

[0064] When the normal driving index is determined to be dangerous, the vehicle device 20 tightens the specified range of the learning value, for example, sets it to the specified range of ±D1%, and when the normal driving index is determined to be safe, it loosens the specified range, for example, sets it to the specified range of ±D2% (where D1 < D2) (function of the learning regulation range change unit 25).

[0065] Particularly, in the case of a driver whose normal driving is dangerous, since the specified range of the learning value of ±D1% is set to be severely narrow, the warning frequency will increase. Particularly, appropriate warnings can be given to drivers with a high risk of danger in driving normally. On the contrary, in the case of a driver who drives safely normally, since the specified range of the learning value of ±D2% is set to be loose and wide, the warning frequency will decrease. Therefore, annoying warnings will not sound. As a result, appropriate messages can be notified to both drivers who drive dangerously normally and drivers who drive safely normally.

[0066] The notification control unit 22 changes the notification content according to the normal driving index. For example, the notification content is changed such as warning, praising, worrying, etc. according to whether the normal driving index is set to "safe" or "dangerous".

[0067] Furthermore, when issuing a warning, the warning control unit 22 changes the method and intensity of the warning according to whether the driver's usual driving is safe or dangerous, i.e., the usual driving indicator. For example, as mentioned above, the warning can be made stronger for drivers whose usual driving is dangerous and weaker for drivers who drive safely, thereby increasing the effectiveness of the warning. This makes it possible to send appropriate messages to both drivers who usually drive dangerously and drivers who usually drive safely.

[0068] The notification control unit 22 may change the notification method according to the usual driving indicators. For example, the notification control unit 22 may appropriately switch or combine voice notifications via speaker 33, volume adjustment, and display and notification on display unit 32. This makes it possible to notify both drivers who habitually drive dangerously and drivers who habitually drive safely with appropriate messages.

[0069] (Second Embodiment) The second embodiment will be described with reference to Figures 8 to 12. As explained in the first embodiment, the vehicle device 20 stores a default judgment value in the storage unit 21 based on the time between vehicles, including the preceding vehicle Cb. When this judgment value is reached, it issues a warning to avoid a collision with the preceding vehicle Cb. See S8 to S10 in Figure 4. This judgment value represents a fixed threshold value for determining whether it is safe or dangerous. When this judgment value is reached, the notification control unit 22 notifies the driver of the warning through the display unit 32 or speaker 33. This demonstrates the function of the model threshold determination unit 27, which can determine whether the time between vehicles meets the model threshold judgment value.

[0070] Figure 8 illustrates the concept of the judgment value. When the distance between the vehicle Ca and the preceding vehicle Cb decreases, and as a result the interval time reaches the judgment value, the notification control unit 22 issues a warning; otherwise, it does not issue a warning.

[0071] <How to update the judgment values ​​(model thresholds) for driving indicators> The method for updating this judgment value is described below. Driver driving record data is collected by being transmitted from the vehicle devices 20 of each vehicle to the center 41 via the wireless communication unit 31. The center 41 records and classifies the driving record data transmitted from the many vehicles in a relational database. The center 41 may classify the driving record data by region, driver age, and age group by aggregating the driving record data and referring to metadata.

[0072] Center 41 refers to the input driving record data and classifies drivers into exemplary drivers who drive safely, relatively or absolutely, and drivers who drive dangerously. Drivers may also be classified into different categories, such as skilled drivers and expert drivers.

[0073] Center 41 should classify safe / dangerous drivers into high / low ratings and so on. Center 41 may also give a relatively high rating to drivers who have had no accidents and / or violations during a predetermined period of time retrospectively from the present, considering them to be relatively exemplary drivers.

[0074] Center 41 sets judgment values ​​for driving indicators based on the aggregation of driving record data from drivers deemed to be exemplary. These judgment values ​​for driving indicators are determined, for example, by finding the average or median following time for drivers deemed to be exemplary.

[0075] Center 41 calculates the time between each vehicle and the preceding vehicle Cb from data of exemplary drivers and sets the judgment values ​​for driving indicators that should trigger warnings as exemplary thresholds. If driving record data is received from other vehicles at any time, the judgment values ​​for driving indicators may be recalculated and the exemplary thresholds may be updated at any time.

[0076] Center 41 processes the driving record data and, upon request from an external vehicle device 20, transmits necessary information, such as driver-specific information and statistically calculated information, such as the judgment values ​​for exemplary driver driving indicators described earlier, to the vehicle device 20 of each vehicle via the external network 40. When requested from an external source, Center 41 may refer to the metadata of the requested driver and transmit the judgment values ​​for exemplary driver driving indicators corresponding to the driver's driving region and age group.

[0077] The exemplary threshold input unit 26 of the vehicle device 20 updates the judgment value of this driving indicator as the exemplary threshold. That is, the exemplary threshold input unit 26 inputs the judgment value of the driving indicator that should be warned about, which is determined based on the aggregation of driving record data of exemplary drivers, as the exemplary threshold.

[0078] In this embodiment, the vehicle device 20 can be selected by the driver or other occupant via the operation input unit 35 to either notify a message using a learned value, issue a warning using a determination value, or notify a message using both the learned value and the determination value.

[0079] In the following description, in order to explain the contents of the second embodiment, the processing operation when it is selected to notify a message using the learned value and the judgment value will be described in detail. Specifically, the operation during normal operation using the learned value, its specified range, and the judgment value (model threshold) mentioned above will be described.

[0080] When the ignition switch is turned on by the driver, the vehicle device 20 is activated. In S1 of Figure 9, the vehicle device 20 refers to the normal driving indicators stored in the memory unit 21 to determine whether the driver is a driver who usually drives safely. If the vehicle device 20 determines in S1 that the normal driving is safe by referring to the normal driving indicators, in S2 it loosens the specified range for comparison of the learned values ​​and expands it to the specified range ±D2%.

[0081] Conversely, if the vehicle device 20 determines in S1 that the normal driving is dangerous by referring to the normal driving index in the memory unit 21, it sets a stricter specified range for comparison of the learned values ​​in S3, and reduces it to ±D1% of the specified range in S3.

[0082] Next, in S4, the vehicle device 20 detects the time between the vehicle and the preceding vehicle Cb and records it in the database 21a of the storage unit 21 as driving record data for driving indicators. In S5, the vehicle device 20 determines whether it has been set by the occupant to notify using the learned value. If it has been set to notify using the learned value in S5, the vehicle device 20 compares the time between vehicles with a specified range of ±D1% or ±D2% of the learned value in S6a.

[0083] As a result, similar to the description of the first embodiment, the vehicle device 20 determines whether the learned value deviates from the specified range ±D1% or ±D2% set according to the normal driving indicator. After that, the process proceeds to S7. If the vehicle device 20 is not set to notify the learned value as a comparison target in S5, the process in S6a is omitted and the process proceeds to S7.

[0084] Next, in S7, the vehicle device 20 determines whether it has been set by the driver or other occupant to notify using a determination value. If it has been set in S7 to notify using a determination value, the vehicle device 20 compares the interval time with the determination value in S8a. By determining whether the interval time has reached the determination value, the vehicle device 20 determines whether the interval time meets the model threshold determination value (function of the model threshold determination unit 27). Subsequently, in S9, the vehicle device 20 notifies according to the comparison result of both or one of S6a and S8a.

[0085] Figures 10 to 12 illustrate the relationship between the learned value, its specified ranges of ±D1% and ±D2%, and the judgment value which serves as the model threshold. Below, we will explain specific examples of the notification method and content in S9 of Figure 9.

[0086] If a driver habitually engages in relatively "dangerous" driving behavior, and their learned following time is relatively short, the learned value for a dangerous driver is likely to be shorter than the standard threshold value for a typical driver. Therefore, Figure 10 schematically illustrates a case where the median / average learned following time is shorter than the threshold value.

[0087] Drivers who habitually drive in a relatively "dangerous" manner will find it annoying if they are frequently notified with a warning simply because the following distance reaches a model threshold. In this case, if the driver has chosen to notify messages using learned values ​​and judgment values, the notification control unit 22 of the vehicle device 20 will not notify a warning simply because the judgment value is reached, as shown in the upper diagram of Figure 10, but will only issue a warning if the dangerous threshold within the specified range ±D1% of the learned value is exceeded.

[0088] As shown in the lower part of Figure 10, the notification control unit 22 does not issue a warning even if the judgment value has been reached, as long as it is within the specified range of ±D1% of the normal learned value. Therefore, drivers who are generally prone to driving dangerously will not find the warnings bothersome.

[0089] Furthermore, if a driver typically drives relatively safely and their learned following time is relatively long, the learned value for a safe driver tends to be longer than the standard threshold value for a typical driver. Therefore, Figures 11 and 12 schematically illustrate how the median / average learned following time value can be longer than the standard threshold value.

[0090] Drivers who habitually drive safely often maintain a following distance within the specified range of ±D2% of the learned values. However, if the following distance becomes shorter than the usual specified range of ±D2%, it may indicate an increased risk.

[0091] If the driver has chosen to receive messages using learned values ​​and judgment values, the notification control unit 22 of the vehicle device 20 should issue a warning if, although there is a margin above the judgment value, the learned value deviates from the dangerous threshold of ±D1%. This is because even if the judgment value criteria for a typical model driver are met, a driver who usually drives safely may be in an unusual situation or psychological state, increasing the risk.

[0092] Furthermore, if the driver is normally determined to be a safe driver, the notification control unit 22 may change the way it issues a warning. For example, if the driver is only acting differently than usual, it may only display a warning on the display unit 32. However, if the driver has also reached the threshold value, it may display a warning on the display unit 32 and also sound an audible alert through the speaker 33.

[0093] A specific example is shown in Figure 12. If the driver has chosen to receive messages using learned values ​​and judgment values, the vehicle device 20 should issue a weak warning if the learned value exceeds the judgment value but deviates from the dangerous threshold of ±D1% of the specified range of learned values, as shown in the upper part of Figure 12. Furthermore, the vehicle device 20 should issue a strong warning if the learned value exceeds the threshold range and has reached the judgment value, as shown in the lower part of Figure 12.

[0094] <Summary of this embodiment> The notification control unit 22 of the vehicle device 20 provides notification control to the driver based on the result of the learning specified range deviation determination unit 24's determination of whether or not the learned value has deviated from the specified range, as well as the result of the model threshold determination unit 27's determination of whether or not the value has reached a model threshold. For example, if the vehicle device 20 determines that the driver usually drives safely by referring to driving indicators, even if the model threshold determination unit 27 determines that the interval time has not reached the determination value, if the learning specified range deviation determination unit 24 determines that the interval time has deviated from the specified range ±D2% of the learned value, it will provide a weak warning notification.

[0095] The vehicle device 20, when it determines that the driver is a driver who normally drives safely by referring to normal driving indicators, will issue a strong warning if it determines that the following distance has reached a predetermined value and that the following distance has deviated from the specified range of learned values. This allows for the notification of appropriate messages to drivers who normally drive safely.

[0096] In the embodiment described above, the system determined whether to notify a message according to a judgment value based on the result of the driver's operation input to the operation input unit 35, whether to notify a message according to whether the learned value deviates from the specified range ±D1% or ±D2%, or whether to notify a message according to the comparison result of both the judgment value and the specified range ±D1% or ±D2% of the learned value. However, the system is not limited to these methods. For example, the notification control method may be automatically switched as follows. The vehicle device 20 inputs the relative speed of the vehicle Ca to the speed of the preceding vehicle Cb (function of the relative speed input unit 29). The notification control unit 22 may differentiate between notifying a warning or other notification based on a judgment value indicating whether it is safe or dangerous, notifying a warning or other notification if the learned value deviates from the specified range ±D1% or ±D2%, or notifying a warning or other notification based on the comparison result of both the judgment value and the specified range ±D1% or ±D2% of the learned value, depending on the relative speed of the vehicle Ca to the preceding vehicle Cb. In this case, as shown in the above embodiment, the notification control unit 22 may change the method of notification or the content of the notification.

[0097] For example, the notification control unit 22 of the vehicle device 20 may issue a strong warning if it determines that the relative speed is faster than a predetermined speed and the time between the vehicle Ca and the preceding vehicle Cb has shortened to a first predetermined value, and issue a weaker warning if the relative speed is below the predetermined speed and the time between vehicles is within a predetermined range based on a second predetermined value. The relative magnitudes of the first predetermined value and the second predetermined value may be either greater than or equal to each other. The content of the warning strength is the same as that of the warning message mentioned above, so an explanation is omitted.

[0098] Furthermore, the notification control method may be switched using parameters other than the relative speed of the vehicle Ca relative to the preceding vehicle Cb. For example, the notification control, such as the aforementioned warnings, may be switched using at least one of the following parameters: distance to the preceding vehicle Cb, relative speed to the preceding vehicle Cb, combination of distance and relative speed, absolute speed of the vehicle Ca, combination of distance and absolute speed of the vehicle Ca, or relative acceleration between the preceding vehicle Cb and the vehicle Ca. By switching the notification control method using at least one of these parameters, appropriate messages such as warnings and praises can be notified to the driver.

[0099] This embodiment also provides the same effects as the previously described embodiment. Moreover, since the vehicle device 20 can control notification by taking into account both the learned value and the judgment value, it can notify the driver of a more appropriate message.

[0100] (Other embodiments) The embodiments described above are not limited to those described above, and for example, the following modifications or extensions are possible. In the embodiment described above, the learned value of "learned driving indicators" was explained using "the time between the vehicle and the preceding vehicle Cb during normal driving" as an example, but it is not limited to this. The driving indicators only need to be able to determine differences from the normal situation, and the notification control unit 22 may learn the time between vehicles at the start of braking and, if it determines that it is different from the normal situation, issue a warning / praise through the display unit 32 or speaker 33.

[0101] The vehicle device 20 may also acquire information from the occupant monitor 39, such as the degree of eye movement of the driver, the direction of the driver's face, and the amount of time spent looking at the vehicle's display unit 32, to learn the driver's usual behavior and use it as a learned value for driving indicators. If the learned value for driving indicators is determined to be different from the usual behavior, the notification control unit 22 may issue a warning or praise through the display unit 32 or speaker 33.

[0102] The configurations of the notification control unit 22, normal driving indicator acquisition unit 23, learning specified range deviation determination unit 24, learning specified range change unit 25, model threshold input unit 26, model threshold determination unit 27, driver determination unit 28, and relative speed input unit 29 have been described in a form that is realized by the hardware executing a program, but are not limited to this and may also be realized by hardware.

[0103] The methods described in this disclosure may be implemented by a dedicated computer provided by configuring a processor and memory programmed to perform one or more functions embodied by a computer program. Alternatively, the methods described in this disclosure may be implemented by a dedicated computer provided by configuring a processor by one or more dedicated hardware logic circuits. Alternatively, the methods described in this disclosure may be implemented by one or more dedicated computers configured by a combination of a processor and memory programmed to perform one or more functions and a processor configured by one or more hardware logic circuits. Furthermore, the computer program may be stored as instructions to be executed by the computer on a computer-readable non-transitional tangible recording medium.

[0104] This disclosure includes the following in addition to the description of the invention in the claims. [1] A normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, A learning specified range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from a specified range of learned values ​​obtained by learning the driving record data of the driving indicator, A learning specified range modification unit (25) that changes the specified range of the learned value according to the normal driving indicator, A vehicle device comprising a notification control unit (22) that notifies the driver according to the determination result of the learning range deviation determination unit.

[0105] [2] The aforementioned learning range modification unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe [1].

[0106] [3] The vehicle device according to [1] or [2], wherein the notification control unit changes the method of notification and / or the content of notification according to the normal driving indicator.

[0107] [4] The aforementioned normal driving indicator acquisition unit is a vehicle device [1] to [3] that acquires a normal driving indicator set based on the time between the vehicle and the preceding vehicle when braking is initiated, the normal steering operation of the vehicle, the normal way of accelerating, and / or the normal way of braking.

[0108] [5] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit is a vehicle device [1] to [4] which provides notification control to the driver in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit.

[0109] [6] The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. A vehicle device [5] that, if the model threshold determination unit determines that the driving indicator has reached a model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, issues a strong warning notification.

[0110] [7] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit may choose to notify the driver according to the determination result of the learning specified range deviation determination unit, or according to the determination result of the model threshold determination unit, or according to the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. A vehicle device that divides the vehicle according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of distance and relative speed, absolute speed of the vehicle itself, combination of distance and absolute speed of the vehicle itself, and relative acceleration between the preceding vehicle and the vehicle itself [1] to [6].

[0111] [8] The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, A vehicle device according to any of the following [1] to [7], which issues a strong warning if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, and issues a weaker warning in addition to the strong warning if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value.

[0112] [9] The normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, The learning range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from the specified range of learned values ​​obtained by learning the driving record data of the driving indicator. The learning specified range modification unit (25) modifies the specified range of the learned value according to the normal driving indicator, A processing method for a vehicle device in which a notification control unit (22) notifies the driver according to the determination result of the learning specified range deviation determination unit.

[0113]

[10] The processing method for a vehicle device, wherein the learning specified range changing unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe [9].

[0114]

[11] A method for processing a vehicle device, wherein the notification control unit changes the method of notification and / or the content of notification according to the normal driving indicators [9] or

[10] .

[0115]

[12] The normal driving indicator acquisition unit acquires a normal driving indicator set based on the time between vehicles, the normal steering operation of the vehicle, the normal way of operating the accelerator, and / or the normal way of operating the brakes [9] to

[11] .

[0116]

[13] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit controls the driver to provide notification in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit, according to any of the vehicle device processing methods [9] to

[12] .

[0117]

[14] The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. A method for processing a vehicle device

[13] in which the model threshold determination unit determines that the driving indicator has reached a model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, the device issues a strong warning.

[0118]

[15] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit may choose to notify the driver according to the determination result of the learning specified range deviation determination unit, or according to the determination result of the model threshold determination unit, or according to the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. A processing method for a vehicle device, which is divided according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of the distance and the relative speed, absolute speed of the vehicle itself, combination of the distance and the absolute speed of the vehicle itself, and relative acceleration between the preceding vehicle and the vehicle itself [9] to

[14] .

[0119]

[16] The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, A processing method for a vehicle device, one of the following [9] to

[15] , wherein if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, a strong warning is issued, and if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value, a weaker warning is issued in addition to the strong warning.

[0120]

[17] A normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, A learning specified range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from a specified range of learned values ​​obtained by learning the driving record data of the driving indicator, A learning specified range modification unit (25) that changes the specified range of the learned value according to the normal driving indicator, A safe driving system comprising a notification control unit (22) that notifies the driver according to the determination result of the learning range deviation determination unit.

[0121]

[18] The learning specified range changing unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe

[17] .

[0122]

[19] A safety driving system comprising a notification control unit that changes the method of notification and / or the content of notification according to the normal driving indicators

[17] or

[18] .

[0123]

[20] The aforementioned normal driving indicator acquisition unit acquires a normal driving indicator set based on the time between vehicles, normal steering operation of the vehicle, normal accelerator operation, and / or normal brake operation.

[17] to

[19] A safe driving system.

[0124] [twenty one] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit provides notification control to the driver in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit, in any of the safety driving systems

[17] to

[20] .

[0125] [twenty two] The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. A safe driving system that, if the model threshold determination unit determines that the driving indicator has reached the model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, issues a strong warning

[21] .

[0126] [twenty three] A model threshold input unit (26) inputs a value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, as a model threshold, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operations by the driver has reached the model threshold, The notification control unit may choose to notify the driver according to the determination result of the learning specified range deviation determination unit, or according to the determination result of the model threshold determination unit, or according to the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. A safe driving system that is divided according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of the distance and the relative speed, absolute speed of the vehicle itself, combination of the distance and the absolute speed of the vehicle itself, and relative acceleration between the preceding vehicle and the vehicle itself

[17] to

[22] .

[0127] [twenty four] The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, A safe driving system that, if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, issues a strong warning, and if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value, issues a weaker warning in addition to the strong warning

[17] to

[23] .

[0128] [twenty five] A procedure for having the normal driving indicator acquisition unit (23) acquire normal driving indicators that show the driver's usual driving style, A procedure to cause the learning specified range deviation determination unit (24) to determine whether the driving indicator representing the driving operation by the driver deviates from the specified range of learned values ​​obtained by learning the driving record data of the driving indicator, The learning specified range change unit (25) includes a procedure for changing the specified range of the learned value according to the normal driving indicator, The notification control unit (22) provides a procedure for causing the driver to perform notification control according to the determination result of the learning specified range deviation determination unit, A vehicle program that executes the command.

[0129] This disclosure is written in accordance with the embodiments described above, but it is understood that this disclosure is not limited to such embodiments or the structures described in those embodiments. This disclosure also includes various modifications and variations within the scope of equivalents. In addition, various combinations and forms, as well as other combinations and forms that include only one, more, or fewer of those elements, fall within the scope and concept of this disclosure. [Explanation of Symbols]

[0130] In the drawing, 10 is the safe driving system, 20 is the vehicle device, 22 is the notification control unit, 23 is the normal driving indicator acquisition unit, 24 is the learning specified range deviation determination unit, 25 is the learning specified range change unit, 26 is the model threshold input unit, 27 is the model threshold determination unit, 28 is the driver determination unit, and 29 is the relative speed input unit.

Claims

1. A normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, A learning specified range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from a specified range of learned values ​​obtained by learning the driving record data of the driving indicator, A learning specified range modification unit (25) that changes the specified range of the learned value according to the normal driving indicator, A vehicle device comprising a notification control unit (22) that notifies the driver according to the determination result of the learning range deviation determination unit.

2. The vehicle device according to claim 1, wherein the learning specified range changing unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe.

3. The vehicle device according to claim 1 or 2, wherein the notification control unit changes the method of notification and / or the content of notification according to the normal driving indicator.

4. The vehicle device according to claim 1 or 2, wherein the normal driving indicator acquisition unit acquires the normal driving indicator, which is set based on the time between vehicles, the normal steering operation of the vehicle, the normal way of operating the accelerator, and / or the normal way of operating the brakes.

5. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The vehicle device according to claim 1 or 2, wherein the notification control unit provides notification control to the driver in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit.

6. The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. The vehicle device according to claim 5, wherein the model threshold determination unit determines that the driving indicator has reached a model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, the device provides a strong warning notification.

7. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The notification control unit may choose to notify the driver according to the determination result of the learning specified range deviation determination unit, or according to the determination result of the model threshold determination unit, or according to the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. The vehicle device according to claim 1 or 2, which divides according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of the distance and the relative speed, absolute speed of the own vehicle, combination of the distance and the absolute speed of the own vehicle, and relative acceleration between the preceding vehicle and the own vehicle.

8. The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for determining the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, The vehicle device according to claim 1 or 2, which issues a strong warning if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, and issues a weaker warning in addition to the strong warning if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value.

9. The normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, The learning range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from the specified range of learned values ​​obtained by learning the driving record data of the driving indicator. The learning specified range modification unit (25) modifies the specified range of the learned value according to the normal driving indicator, A processing method for a vehicle device in which a notification control unit (22) controls the driver to notify the driver according to the determination result of the learning specified range deviation determination unit.

10. The processing method for a vehicle device according to claim 9, wherein the learning specified range changing unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe.

11. The processing method for a vehicle device according to claim 9 or 10, wherein the notification control unit changes the method of notification and / or the content of notification according to the normal driving indicator.

12. The processing method for a vehicle device according to claim 9 or 10, wherein the normal driving indicator acquisition unit acquires the normal driving indicator, which is set based on the time between vehicles, the normal steering operation of the vehicle, the normal way of operating the accelerator, and / or the normal way of operating the brakes.

13. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The processing method for a vehicle device according to claim 9 or 10, wherein the notification control unit provides notification control to the driver in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit.

14. The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. A processing method for a vehicle device according to claim 13, wherein the model threshold determination unit determines that the driving indicator has reached a model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, a strong warning is issued.

15. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The notification control unit may choose to notify the driver according to the determination result of the learning specified range deviation determination unit, or according to the determination result of the model threshold determination unit, or according to the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. A processing method for a vehicle device according to claim 9 or 10, which divides according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of the distance and the relative speed, absolute speed of the own vehicle, combination of the distance and the absolute speed of the own vehicle, and relative acceleration between the preceding vehicle and the own vehicle.

16. The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for determining the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, A processing method for a vehicle device according to claim 9 or 10, wherein if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, a strong warning is issued, and if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value, a weaker warning is issued in addition to the strong warning.

17. A normal driving indicator acquisition unit (23) acquires normal driving indicators that show the driver's usual driving style, A learning specified range deviation determination unit (24) determines whether the driving indicator representing the driving operation by the driver deviates from a specified range of learned values ​​obtained by learning the driving record data of the driving indicator, A learning specified range modification unit (25) that changes the specified range of the learned value according to the normal driving indicator, A safe driving system comprising a notification control unit (22) that notifies the driver according to the determination result of the learning-defined range deviation determination unit.

18. The safe driving system according to claim 17, wherein the learning specified range changing unit sets the specified range of the learned value more strictly when the normal driving indicator is determined to be dangerous, and sets the specified range more loosely when the normal driving indicator is determined to be safe.

19. The safety driving system according to claim 17 or 18, wherein the notification control unit changes the method of notification and / or the content of the notification according to the normal driving indicator.

20. The safe driving system according to claim 17 or 18, wherein the normal driving indicator acquisition unit acquires the normal driving indicator, which is set based on the time between vehicles, the normal steering operation of the vehicle, the normal way of operating the accelerator, and / or the normal way of operating the brakes.

21. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The safety driving system according to claim 17 or 18, wherein the notification control unit provides notification control to the driver in accordance with the determination result of the model threshold determination unit in addition to the determination result of the learning specified range deviation determination unit.

22. The system includes a driver determination unit (28) that refers to the aforementioned normal driving indicators and determines whether or not the driver is a driver who normally drives safely. If the driver determination unit determines that the driver is a driver who usually drives safely, Even if the model threshold determination unit determines that the driving indicator has not reached the model threshold, if the learning specified range deviation determination unit determines that the driving indicator has deviated from the threshold range of the learned value, the notification control unit will issue a weak warning notification. The safe driving system according to claim 21, wherein the model threshold determination unit determines that the driving indicator has reached the model threshold, and the learning specified range deviation determination unit determines that the interval time has deviated from the specified range of the learned value, and a strong warning is issued.

23. A model threshold input unit (26) inputs a model threshold value as a determinant value for a driving indicator that should be warned about, which is determined based on the aggregation of driving record data of the exemplary driver, The system includes a model threshold determination unit (27) that determines whether the driving indicator representing the driving operation by the driver has reached the model threshold, The notification control unit may, in accordance with the determination result of the learning specified range deviation determination unit, notify the driver, in accordance with the determination result of the model threshold determination unit, or issue a warning in accordance with the comparison result of both the determination result of the learning specified range deviation determination unit and the determination result of the model threshold determination unit. The safe driving system according to claim 17 or 18, which divides according to at least one of the following parameters: distance to a preceding vehicle, relative speed to the preceding vehicle, combination of the distance and the relative speed, absolute speed of the own vehicle, combination of the distance and the absolute speed of the own vehicle, and relative acceleration between the preceding vehicle and the own vehicle.

24. The aforementioned driving indicator is the following time between the vehicle and the preceding vehicle. A model threshold input unit (26) inputs a model threshold value for determining the interval time to be warned, which is determined based on the aggregation of driving record data of the exemplary driver, A model threshold determination unit (27) that determines whether the interval time between vehicles has reached the model threshold, It includes a relative speed input unit (29) for inputting the relative speed of the vehicle's speed to the speed of the preceding vehicle, The notification control unit, The safe driving system according to claim 17 or 18, wherein if it is determined that the relative speed is faster than a predetermined speed and the interval between vehicles is shorter than a first predetermined value, a strong warning is issued, and if the relative speed is less than or equal to the predetermined speed and the interval between vehicles is within a predetermined range based on a second predetermined value, a weaker warning is issued in addition to the strong warning.

25. A procedure for having the normal driving indicator acquisition unit (23) acquire normal driving indicators that show the driver's usual driving style, A procedure to cause the learning specified range deviation determination unit (24) to determine whether the driving indicator representing the driving operation by the driver deviates from the specified range of the learned value obtained by learning the driving record data of the driving indicator, The learning specified range change unit (25) includes a procedure for changing the specified range of the learned value according to the normal driving indicator, The notification control unit (22) provides a procedure for causing the driver to perform notification control according to the determination result of the learning specified range deviation determination unit, A vehicle program that executes the command.

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