JP2011128823A - Safe driving support device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a safe driving support device easily, accurately, and sufficiently supporting safe driving according to the kind of a driver. <P>SOLUTION: The safe driving support device 1 classifies patterns of drowsiness for each time of one day by working time zone of a driver over a long period. The safe driving support device 1 determines the drowsiness at an engine start or during traveling for the driver, and executes proper safety support corresponding to the result of determining the drowsiness. Accordingly, the driver acts according to the safety support before or during driving, so that the safe driving support device 1 easily, accurately, and sufficiently supports safe driving. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

The present invention relates to a device that supports safe driving of a driver, and more particularly to a safe driving support device according to the type of driver.

For example, in Patent Document 1, sleepiness prevention that presents a time zone to sleep based on the sleep situation of a driver (driver) of a railway vehicle so that the sleep time is not mixed in the time zone when the driver wakes up. An information presentation device is disclosed. This drowsiness prevention information presentation device is an answer to questions about sleep time, working hours, sleepiness input by drivers, questions about physical fatigue,
The answer to the question about head fatigue is stored as lifestyle history information together with the input date. Then, it is determined whether or not there is a problem in the sleep state of the driver based on the sleep time, sleep characteristics, biological rhythm, and sleep debt amount of the driver calculated from the lifestyle history information for a certain period. And when it determines with a driver | operator's sleep condition having a problem, the detailed content of the determination result and the improvement method are shown.

Further, Patent Document 2 discloses a vehicle control system that improves the driving safety of a vehicle immediately after the start of vehicle operation, reflecting the sleep of the driver before the vehicle operation is started. The vehicle control system detects the seat angle of the driver's seat when the vehicle is stopped, and detects whether the driver has fallen asleep when the vehicle is stopped based on the detected seat angle. And when the driver's sleep is detected, when the driver's sleep is not detected, the operation mode for controlling the inter-vehicle distance between the host vehicle and the preceding vehicle to the target inter-vehicle distance in order to improve the driving safety immediately after the start of driving the vehicle. The setting is changed to the operation mode for controlling the distance to the target vehicle that is longer than that of the vehicle.

Patent Document 3 discloses a driver state estimation device that can estimate the state of a driver before the start of driving the vehicle and perform appropriate driving support from the start of driving. This driver state estimation device determines the impatience and sleep states from the behavior of the driver at home,
These are extracted as home information. Then, the driver's impatience or drowsiness is determined, and the control of the in-vehicle device is changed by estimating the driver's state together with home information.

JP 2007-164366 A (paragraph numbers 0008 to 0010, FIG. 3) Japanese Patent Laying-Open No. 2008-123449 (paragraph numbers 0007 and 0008, FIG. 2) Japanese Patent Laying-Open No. 2008-123448 (paragraph numbers 0006 to 0008, FIG. 1)

In the drowsiness prevention information presentation device described in Patent Document 1, since it is necessary for the driver to input sleep time, working hours, etc., when an input error due to an erroneous operation or an erroneous input due to a memory error occurs, driving is performed. Although there is a problem with the sleep state of the craftsman, there is a risk that it will be determined that there is no problem. In the vehicle control system described in Patent Document 2, the seat angle of the driver's seat is detected when the vehicle is stopped to detect whether or not the driver has fallen asleep, but the driver does not necessarily sleep in the vehicle. In addition, there is a driver who sleeps without defeating the driver's seat, so there is a possibility that it cannot be accurately determined whether or not the driver sleeps.

In the driver state estimation device described in Patent Document 3, since it is necessary to determine the state of impatience and sleep from the driver's behavior at home, sensors for detecting the driver's behavior must be installed throughout the home. Cost increases. In addition, the determination of the driver's impatience is limited only by the driver's behavior, and sufficient driving support may be difficult.
On the other hand, there are types of vehicles such as trucks, buses, taxis, and general vehicles, and the sleep states of the drivers of each vehicle are different, but in each device described in Patent Documents 1 to 3, safety according to the type of driver. The driving cannot be fully supported.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a safe driving support device that can simply, accurately, and sufficiently support safe driving according to the type of driver.

In order to solve the above-described problem, the structural feature of the invention according to claim 1 is that driver specifying means for specifying the type of the current driver that drives the vehicle, and the time of the day according to the type of driver. Sleepiness level setting means for setting a sleepiness level pattern, timekeeping means for measuring time, and reading from the timekeeping means based on the sleepiness level pattern corresponding to the type of the current driver read from the sleepiness level setting means Determining means for determining the sleepiness level at the current time; storage means for storing safety support according to the sleepiness degree; and storing the safety support corresponding to the sleepiness level determined by the determination means. Safety support execution means that reads out and executes the means.

A structural feature of the invention according to claim 2 is that in claim 1, the present invention further comprises sleep level acquisition means for acquiring sleep information of the current driver and acquiring a sleep level based on the sleep information, and the storage means The comment according to the sleepiness level and the sleep level is stored, and the safety support execution means reads out the comment according to the sleepiness level and the sleep level from the storage means when the engine starts. .

The structural feature of the invention according to claim 3 is that, in claim 2, the sleep information is a sleep level indicating the ratio of the sleep time of the previous day, the sleep time that is a predetermined or greater sleep depth in the sleep time,
And the time when sleep was started.

According to a fourth aspect of the present invention, there is provided a structural feature according to the first aspect, further comprising road type acquisition means for acquiring the type of the road on which the vehicle is running, and the storage means has safety according to the sleepiness level and road type. Support is stored, and the safety support execution means reads out the safety support according to the sleepiness level and the road type from the storage means and executes it.

The structural feature of the invention according to claim 5 is that, in claim 4, the safety support is for generating at least one of a message, sound, vibration, temperature for assisting safe driving, and maintaining an inter-vehicle distance necessary for safety. That is at least one.

A structural feature of the invention according to claim 6 is the information processing device according to claim 4 or 5, further comprising information acquisition means for acquiring at least one of driving information and biological information during driving of the current driver. Safety support executed when at least one of driving information and biological information is abnormal is stored, and the safety support executing means stores the safety support when at least one of the driving information and biological information is abnormal. To read from and execute.

According to the first aspect of the present invention, since the sleepiness pattern for each time of day is set separately for each driver's long working hours, the engine starts or travels in line with the current driver. It is possible to determine the sleepiness level at the time point, and it is possible to execute appropriate safety support corresponding to the determination result of the sleepiness level. Therefore, it becomes possible to make the current driver take actions according to safety support before driving or during driving, and safe driving can be supported simply, accurately and sufficiently.

According to the invention according to claim 2, since the sleep information in the short period of the current driver is also acquired, according to the sleepiness level and sleep level at the time of engine start that matches the current driver,
A more accurate comment can be notified. That is, even if the driver's sleep is sufficient depending on the driver's short-term sleep information, the biological rhythm may be unstable depending on the driver's long-term sleepiness pattern, so the sleepiness level and sleep level are acquired. This makes it possible to notify a more accurate comment. Therefore, it becomes possible to make the current driver take an action according to the comment before driving, and it is possible to easily, accurately and sufficiently support high-quality safe driving.

According to the invention which concerns on Claim 3, since the sleep time of the previous day, the deep sleep level, and the sleep start time are acquired as sleep information, the exact sleep level of the current driver who drives on the day can be acquired.

According to the invention of claim 4, since the road type at the time of vehicle driving by the current driver is acquired, it is possible to execute accurate safety support according to the sleepiness level of the current driver and the current road type. Therefore, it is possible to cause the current driver to perform driving according to safety support during driving, and safe driving can be supported simply, accurately, and sufficiently.

According to the invention according to claim 5, since the safety support is to maintain the message, sound, vibration, temperature, and the inter-vehicle distance necessary for safety, which assists safe driving, the current driver can be made aware of safe driving. .

According to the sixth aspect of the present invention, at least one of driving information and biological information during vehicle traveling by the current driver is acquired, and safety support is executed when at least one of the driving information and biological information is abnormal. Therefore, it is possible to execute a safety support that immediately stops the operation when a change occurs in the current driver, and the safe driving can be strengthened.

It is a figure which shows schematic structure of the safe driving support apparatus by embodiment of this invention, and its peripheral device. It is a block diagram which shows the detail of the safe driving support apparatus of FIG. (A)-(D) is a figure which shows the pattern of the sleepiness for every time of the day set to the safe driving support apparatus of FIG. 1, (A) is a track driver, (B) is a bus driver, (C) is a taxi driver, and (D) is a sleepiness pattern of a general driver. (A)-(D) is a figure which shows the discrimination | determination result of the sleep level acquired by the sleep level acquired with the safe driving support apparatus of FIG. 1, and the safe driving support apparatus, (A) is the level of sleep time. , (B) is the level of deep sleep, (C) is the level of sleep start time, and (D) is the result of determination of sleepiness. (A)-(F) is a figure which shows the road type, driving information, and biometric information which are acquired with the safe driving support apparatus of FIG. 1, (A) is the road type by the frequency | count of a vehicle stop, (B) is a vehicle. Road type by average speed, (C) is road type by vehicle inclination angle, (D) is driving situation by emergency driving operation, (E) is driving situation by vehicle average speed, and (F) is driving situation by biological information. . It is a figure which shows the comment before a driving | operation according to the discrimination | determination result of the sleep level and sleepiness degree memorize | stored in the safe driving support apparatus of FIG. (A)-(E) is a figure which shows the message during a driving | operation according to the discrimination result of the sleepiness degree memorize | stored in the safe driving support apparatus of FIG. 1, a driving condition, and a road type, (A) is a sleepiness degree. (B) is a message according to emergency driving operation, (C) is a message according to vehicle average speed, (D) is a message according to biological information, and (E) is a road type. It is a message in response. It is a flowchart for demonstrating the operation | movement before a driving | operation of the safe driving support apparatus of FIG. It is a flowchart for demonstrating the whole operation | movement in driving | operation of the safe driving support apparatus of FIG. It is a flowchart for demonstrating the operation | movement of the first half of each count collection routine during the monitoring. It is a flowchart for demonstrating the operation | movement of the second half of each count collection routine of monitoring of FIG. It is a flowchart for demonstrating the operation | movement of the first half of the message preparation routine in driving | operation. 13 is a flowchart for explaining an intermediate operation of the message creation routine of FIG. 12. It is a flowchart for demonstrating operation | movement of the driving road discrimination | determination routine during a driving | operation. 13 is a flowchart for explaining an operation in the latter half of the message creation routine of FIG. 12.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. As shown in FIG. 1, the safe driving support device 1 according to the present embodiment is provided in a vehicle 2, and as shown in FIG. 2, a driver specifying unit 10, a drowsiness level setting unit 11, a time measuring unit 12, a sleep unit A level acquisition unit 13, a road type acquisition unit 14, an information acquisition unit 15, a determination unit 16, a storage unit 17, and a safety support execution unit 18 are schematically configured.

The driver specifying means 10 specifies the type of the current driver that drives the vehicle 2, for example, a truck driver, a bus driver, a taxi driver, and other general drivers. The type of the current driver is specified by, for example, touching an icon for each type of driver displayed on the screen of the safe driving support device 1 or driving the safe driving support device 1 when the current driver is driving the vehicle.
This is executed by pressing a button for each type of driver provided in. Note that a CD (compact disc), memory card, etc. owned by the current driver or PDA (p
only the type of the current driver is stored in advance in a personal digital assistant) or a computer, and the current driver brings the CD, the memory card, etc. into the vehicle 2 and sets it in the safe driving support device 1, or the vehicle 2 PDA from outside
Alternatively, the driver identification means 10 may be made to identify the type of the current driver by transmitting data to the safe driving support device 1 using a communication function such as a computer.

The sleepiness level setting means 11 is set with a sleepiness level pattern for each time of day according to the type of driver. The pattern of sleepiness for each time of day is classified by the driver's long working hours, for example, as shown in FIGS. 3A to 3D, a truck driver, a bus driver, a taxi driver, and other general It is divided into drivers. The reason why the drivers are classified in this manner is that, for example, there are drivers specializing in day shifts and drivers specializing in night shifts, and therefore, the sleepiness level of each driver varies depending on the time zone. The sleepiness level represents, for example, the degree (%) of sleepiness that the investigated driver feels by time, or the ratio (%) of the number of drivers who feel sleepy to the number of investigated drivers.

All patterns for each driver of sleepiness for each time of day are stored in the storage unit 17 in advance, and the pattern of the type of the current driver specified by the driver specifying unit 10 is read from the storage unit 17. The sleepiness level setting means 11 is set. In addition, only the pattern of the type of the current driver is stored in advance in a CD, a memory card, etc. owned by the current driver or a PDA, a computer, etc., and the current driver brings the CD, the memory card, etc. into the vehicle 2 By setting it in the safe driving support device 1 or by transmitting data from the outside of the vehicle 2 to the safe driving support device 1 by using a communication function such as a PDA or a computer, the sleepiness level setting means 11 can determine the type of the current driver. A pattern may be set.

The time measuring means 12 measures the current time. In addition, you may utilize the existing timepiece mounted in the vehicle 2 instead of this time measuring means 12. FIG. The sleep level acquisition means 13 sleeps based on sleep information such as the sleep time of the previous day of the current driver, the deep sleep level indicating the ratio of sleep time that is a predetermined depth or more in the sleep time, and the time when sleep is started. Get the level. As the level of sleep time, for example, as shown in FIG. 4A, when the sleep time is 7 hours or more and less than 10 hours, “70 to 100 points”, and sleep time is 4 hours or more and less than 7 hours Time
“50 to 69 points”, and the time when the sleeping time is less than 4 hours or 10 hours or more is defined as “0 to 49 points”. As the level of deep sleep, for example, as shown in FIG. 4 (B), when the deep sleep level is 80% or more, “70 to 100 points”, and when the deep sleep level is 60% or more and less than 80% Is defined as “50 to 69 points”, and “0 to 49 points” when the degree of deep sleep is less than 60%. As the level of the sleep start time, for example, as shown in FIG.
When it is from 8:00 to 1:00, it is “nighttime” and when the sleep start time is from 2:00 to 5:00 or from 16:00 to 17:00, it is “intermediate” and sleep is started. Time from 6:00 to 1
The time of 5:00 is defined as “daytime”.

Sleep information is detected by providing a sleep information detecting device 51 including a computer 22 and a sensor 23 connected to the computer 22 only in the bed 21 for sleeping of the current driver in the home 3 of the current driver. can do. For example, by sticking a pressure sensitive sheet sensor 23 connected to the computer 22 to a mattress laid on the bed 21, the bed 21 is woken up when the current driver lies on the bed 21 and goes to bed. Since the weight of the current driver before leaving the vehicle can be sensed, the sleep time and sleep start time of the current driver can be detected. There is no need to install sensors for detecting the behavior of the current driver everywhere in the home 3 as in the prior art, and the sleep information detecting device 51 with a simple configuration and low cost is obtained.

Further, the sleep level of the current driver can be detected by the following method. For example, non-rapid eye movemen can be used as sleep that has a sleep depth greater than a predetermined depth.
(t: non-REM) can be understood as sleep. REM (rap for non-REM sleep
id eye movement (REM) Since sleep is a case where rapid eye movement occurs during awakening, it is possible to determine whether or not the patient is in a REM sleep state by measuring this eye movement. Then, the non-REM sleep time T-t1-t2 is obtained from the total sleep time T, the REM sleep time t1, and the midway awakening t2, and the non-REM sleep time T-t1-t2 and the total sleep time T
The sleepiness level (T-t1-t2) / T can be calculated from the above.

As a method for measuring eye movement, for example, since the eyeball has the property that the cornea side is positively charged and the retina side is negatively charged, electrodes are attached to the orbital ends of the left and right eyes to pick up the potential. There are electrical measurement methods. That is, when the eyeball is moved to the left side, for example, the positively charged cornea approaches the left electrode, so that a positive potential can be picked up, and the negatively charged retina approaches the right electrode. A negative potential can be picked up.
For example, by sticking the electrode connected to the computer 22 of the sleep information detection device 51 to the eye mask 24, the eye movement can be measured if the current driver wears the eye mask 24 and goes to bed. The level of sleepiness of the current driver can be detected.

The sleep information of the current driver's sleep time, deep sleep level, and sleep start time is transmitted from the home 3 to the vehicle 2 by using the communication function provided in the computer 22 of the sleep information detection device 51, and safe driving support is provided. Acquired by the sleep level acquisition means 13 of the device 1. The sleep information is recorded on a CD or a memory card using a recording device provided in the computer 22, and the current driver brings the CD or the memory card into the vehicle 2 and sets it in the safe driving support device 1. By doing so, you may make it make sleep level acquisition means 13 acquire sleep information.

The determining unit 16 determines the sleepiness level at the current time read from the time measuring unit 12 based on the sleepiness level pattern corresponding to the type of the current driver read from the sleepiness level setting unit 11.
For example, as shown in FIG. 4D, when the sleepiness degree is 15% or more, the result of the sleepiness degree is “overtime”, and when the sleepiness degree is 3% or more and less than 15%, ”3% sleepiness
When it is less than, it is defined as “within time”.

The road type acquisition means 14 acquires the road type based on road information such as the number of vehicle stops within a predetermined time during vehicle travel by the current driver, the vehicle average speed, the vehicle tilt angle, and the steering wheel rotation angle. As a road type, for example, as shown in FIG.
When the number of vehicle stops within a predetermined time is 1 or less, it is defined as “highway”, and when the number of vehicle stops is 2 or more, it is defined as “city”. Further, as shown in FIG. 5B, when the average vehicle speed within a predetermined time is 65 km / h or more, it is defined as “highway”, and when the average vehicle speed is less than 65 km / h, it is defined as “urban area”. To do. In addition, as shown in FIG.
When the vehicle tilt angle within a predetermined time is ± 5 degrees or more and continues for 1 minute or more and the number of times that the rotation angle of the steering wheel exceeds 90 degrees from the neutral position is 10 times or more, it is defined as “mountain road”.

The road information can be detected by attaching a road information detection device 52 including a sensor connected to an existing computer 25 mounted on the vehicle 2 to the vehicle 2 driven by the current driver. For example, a cable for extracting a speed signal from the existing vehicle speedometer 26 is wired between the vehicle speedometer 26 and the computer 25, so that the number of vehicle stops within a predetermined time and the vehicle average when the vehicle is driven by the current driver. Speed can be detected. A speed sensor may be separately attached and connected to the computer 25.

Further, for example, by attaching a tilt angle sensor 27 such as a gyroscope in the vehicle 2 and connecting it to the computer 25, it is possible to detect the vehicle tilt angle within a predetermined time when the vehicle is traveling by the current driver. Further, for example, by attaching a rotation angle sensor 29 such as a rotary encoder to a shaft 28a coupled to the steering wheel 28 and connecting it to the computer 25, the steering wheel 28 within a predetermined time when the vehicle is driven by the current driver. The rotation angle can be detected.

The information acquisition means 15 is a sudden handle within a predetermined time when the vehicle is driven by the current driver,
At least one of emergency driving operations such as sudden braking, driving information such as vehicle average speed, and biological information such as blinking and heartbeat of the current driver is acquired. As driving information, for example, FIG.
) As shown in), when the number of emergency driving operations such as sudden steering and sudden braking within a predetermined time is 1 or more, the driving situation is “bad”, and when the emergency driving operation is 0, the driving situation is It is defined as “good”. Further, for example, as shown in FIG. 5E, when the vehicle average speed within a predetermined time is 60 km / h or more, the driving situation is “bad”, and the vehicle average speed is 40 km / h or more 60
When the vehicle speed is less than km / h, the driving situation is defined as “caution”, and when the vehicle average speed is less than 40 km / h, the driving situation is defined as “good”.

The driving information can be acquired by attaching a driving information detection device 53 including a sensor connected to an existing computer 25 mounted on the vehicle 2 to the vehicle 2 driven by the current driver. For example, the rotational angle of the steering wheel 28 is obtained by differentiating the rotational angle of the steering wheel 28 detected by the rotational angle sensor 29 with respect to time.
By detecting that the acceleration exceeds a certain value, it is possible to detect the presence or absence of a sudden handle within a predetermined time when the vehicle is driven by the current driver.

Further, for example, by attaching a stroke sensor 31 such as a linear sensor to the rod 30a coupled to the brake pedal 30 and connecting it to the computer 25, the stepping stroke of the brake pedal 30 detected by the stroke sensor 31 is set to a time. By differentiating to obtain the depression acceleration of the brake pedal 30 and detecting that the acceleration exceeds a certain value, it is possible to detect the presence or absence of sudden braking within a predetermined time when the vehicle is traveling by the current driver.

Here, the biological information is defined as follows. In general, when the driver is awake, both the blink time and the high frequency components of heart rate variability are at low levels. On the other hand, when the driver is in a sleep state, the blinking disappears and the high-frequency component of heart rate variability is at a high level. In addition, in the transition period from awake state to sleep state, an extension of the blink time appears first,
Subsequently, the high-frequency component of the heart rate variability begins to rise, and then enters a sleep state where sleep starts, leading to a sleep state. In this way, it is possible to determine whether the driver is in the awake state, in the sleep state, or in the sleep state from the blink time and the heartbeat fluctuation of the driver. As the biometric information, for example, as shown in FIG. 5F, the driving status is “abnormal” when the biometric information is falling asleep, the driving status is “slightly abnormal” when it is a sleep symptom, and the driving status when it is awake. Is defined as “normal”.

The biological information can be acquired by attaching the biological information detecting means 54 constituted by a sensor connected to an existing computer 25 mounted on the vehicle 2 to the vehicle 2 driven by the current driver. For example, a charge-coupled device (CCD) or a CMOS is provided on the instrument panel or the like in front of the room mirror 34 or the operation seat 35.
(Complementary metal-oxide semiconductor
) Etc. are attached and connected to the computer 25, and the current driver's eye image captured by the camera 36 is analyzed, so that the current driver within the predetermined time during the vehicle travels. The driver's blink time can be detected. Also,
By attaching a non-contact type or contact type heart rate sensor 37 using microwaves to the seat back of the driving seat 35 and connecting it to the computer 25, the heart rate of the current driver within a predetermined time when the vehicle is traveling by the current driver. Variations can be detected.

The storage means 16 is executed when at least one of comments according to sleepiness level and sleep level, safety support according to sleepiness level, safety support according to sleepiness level and road type, driving information, and biological information is abnormal. Safety support etc. are stored in advance. Safety support
For example, at least one of a message, sound, vibration, temperature generation, and maintenance of an inter-vehicle distance necessary for safety is provided.
The comment according to the sleepiness level and the sleep level is, for example, a comment as shown in FIG. 6, the sleep time and deep sleep level are “70 points or more”, the sleep start time level is “night”, When the sleepiness degree determination result is “out of time”, a comment A “A good sleep has been obtained. Try to drive safely.” Is stored.

In addition, as shown in Fig. 7 (A), for example, when the sleepiness level is determined to be “in time”, the message for assisting safe driving according to the level of sleepiness is “Will you be tired? Message 1- (3) is stored, "Please drive with extreme caution." Further, as a message for assisting safe driving executed when the driving information is abnormal, for example, as shown in FIG. 7B, the driving situation (emergency driving operation) is “bad”. Message 2- (2), “Attention is distracted.”
Further, for example, as shown in FIG. 7C, since the driving situation (average vehicle speed) is “caution”, the message 3 “Please drive while paying attention to pedestrians and bicycles jumping out”. -(2) is stored.

In addition, as a message to assist safe driving that is executed when the biological information is abnormal,
For example, as shown in FIG. 7D, since the driving situation is “abnormal”, a message 4- (3) “Stop the car and take a break” is stored. In addition, as a safety support according to the road type, for example, as shown in FIG. 7E, when the road condition is “mountain road”, a volume change command for informing the above-mentioned message “in volume” is issued. It is remembered. In addition, as a safety support according to the road type, a message for calling attention when driving on an urban area, a mountain road, or an expressway may be separately stored instead of the volume change command.

The safety support execution means 18 reads out a comment corresponding to the sleepiness level and the sleep level from the storage means 16 when the engine is started by the current driver and notifies the comment. Further, the safety support corresponding to the sleepiness level determined by the determination unit 17 is read from the storage unit 16 and executed. Further, the safety support corresponding to the sleepiness level and the road type is read from the storage means 16 and executed. Further, when at least one of the driving information and the biological information is abnormal, the safety support is stored in the storage unit 1.
6 is read and executed. The safety support execution means 18 is used for the vehicle 2 driven by the current driver.
The safety support device 55 configured by an existing device or the like installed in the system can be used to notify a comment and perform safety support.

For example, by using an image using a display of an existing car navigation system 38 mounted on the vehicle 2 and a sound using a speaker of the audio system 39, a comment or a message for assisting safe driving is notified to assist safe driving. Sound can be generated. Note that, for example, a display or a speaker may be separately attached to the instrument panel or the like. Further, for example, by attaching a vibration device 40 such as a piezoelectric type to the seat back of the driving seat 35 or the steering wheel 28 and connecting it to the computer 25, vibration for assisting safe driving can be generated. For example, the temperature which assists safe driving, ie, warm air and cold air, can be generated using the existing air conditioner 41 mounted on the vehicle 2. For example, the driving seat 3
The operation seat 35 may be heated by attaching an electric heating device or the like to the seat back 5.

Further, for example, by attaching the sonar sensor 43 to the front bumper 42 of the vehicle 2 and attaching the actuator 45 to the accelerator pedal 44 and connecting to the computer 25, it is possible to maintain the necessary inter-vehicle distance safely. That is, based on the information from the sonar sensor 43, the brake hydraulic device 4 according to the inter-vehicle distance and relative speed with the preceding vehicle.
6 is controlled. When the current driver is stepping on the accelerator pedal 44, the actuator 45 generates a force that pushes back the accelerator pedal 44. When the accelerator pedal 44 is returned, the brake hydraulic device 46 is controlled to apply a brake and decelerate. Thereby, the distance between vehicles required safely can be maintained.

An operation example of the safe driving support device 1 of the present embodiment having the above-described configuration will be described with reference to the flowcharts of FIGS. FIG.
As shown in FIG. 4, the truck driver gets on the CD having the pattern for each driver of the sleepiness for each time for the truck driver stored therein, starts the engine, and drives the CD to the safe driving support device 1. (Step 1). At this time, the sleep information on the previous day of the truck driver is transmitted from the sleep information collecting device 21 in the home to the safe driving support device 1 in the vehicle by a communication function.

First, it is determined whether or not the level of sleep time and deep sleep level is “70 points or higher” (step 2). If the level of sleep time and deep sleep level is 70 points or higher, the level of sleep start time is further determined. It is determined whether or not it is “nighttime” (step 3). When the sleep start time level is “nighttime”, the time for monitoring the collection of road type, driving information and biological information during driving is set to “1”.
Time "is set (step 4). On the other hand, in step 1, the sleep time level is “70”.
When it is less than the point, or when the level of the sleep start time is “intermediate” or “daytime” in step 2, the monitoring time during driving is set to “30 minutes” (step 5).

Then, referring to the sleepiness level pattern, it is determined and set whether the current time is “out of time”, “intermediate” or “within time” (step 6). A comment before driving corresponding to the above sleep time, each level of sleep start time, and sleepiness level is selected, an image of the comment is displayed, and the comment is notified by voice (step 7). For example, when the sleep time level is “60 points”, the sleep start time level is “night”, the driving start time is 14:00, and the sleepiness level determination result is “intermediate”, the comment K is selected, The comment “Sleep is a little worse, so don't be alarmed” is displayed as an image and a voice notification.

As shown in FIG. 9, when the operation is started by the truck driver (step 8), the monitoring start time is reset and each count of monitoring is reset (step 9). Then, it is determined whether or not the monitoring time during operation has been reached (step 10).
When the monitoring time during operation has not been reached, a routine for collecting each count of monitoring is executed (step 11). That is, as shown in FIG. 10, first, it is determined whether or not there is an emergency driving operation within the driving monitoring time (step 21), and when there is an emergency driving operation during the driving monitoring time, 1 is set in the H count. Add (Step 2
2).

Subsequently, the vehicle average speed from the start of monitoring is obtained (step 23), and the driver's biological information within the monitoring time during driving is confirmed (step 24). If the driver's biological information is awake during the monitoring time during driving, the process proceeds to step 28 in FIG. 11. If the driver's biological information is a predictive of sleep onset, 1 is added to the B count and the process proceeds to step 28 (step 25). . On the other hand, if the driver's biometric information within the driving monitoring time is asleep, it is determined that the driving status is “abnormal” and this routine is exited (step 26).
Corresponding message 4- (3) when an alarm is generated and the driving situation is “abnormal”
Is selected to display the image of the message 4- (3), and the message 4- (3) is notified by voice (step 27).

As shown in FIG. 11, in step 28, it is determined whether or not the vehicle is stopped within the monitoring time during driving. When the vehicle is stopped, 1 is added to the S count (step 29).
). Subsequently, it is determined whether or not the vehicle tilt angle is ± 5 degrees or more and continues for one minute or longer within the driving monitoring time (step 30). 1 is added to the count (step 31). Subsequently, it is determined whether or not the rotation angle of the steering wheel is 90 degrees or more from the neutral position within the driving monitoring time (step 32), and if the rotation angle of the steering wheel is 90 degrees or more from the neutral position, K is determined.
1 is added to the count (step 33), and the monitoring count collection routine is terminated.

Returning to the flowchart of FIG. 9, when the monitoring time during operation is reached in step 10, a routine for creating a message is executed (step 12). That is, as shown in FIG. 12, first, the sleepiness level at the current time is determined (step 41). When the determination result of the sleepiness level at the current time is “out of time”, there is no message (step 42), When the determination result of the sleepiness level at the current time is “intermediate”, message 1- (2) is selected (step 43).
If the determination result of the sleepiness level at the current time is “within time”, message 1- (3) is selected (step 44).

Next, it is determined whether or not the H count of the emergency driving operation is 1 or more (step 45). When the H count of the emergency driving operation is 0, it is determined that the driving situation is “good” and the message is No flag is set to 0 (step 46). When the H count of the emergency driving operation is 1 or more, it is determined that the driving situation is “bad”, and the message 2- (2) is selected to select Flag1.
= 1 (step 47).

Then, as shown in FIG. 13, the vehicle average speed obtained in step 23 of FIG.
Step 48) When the average vehicle speed is less than 40 km / h, it is determined that the driving condition is “good”, no message is given, and Flag2 = 0 is set (Step 49), and the average vehicle speed is 40 km / h or more and 60 km / h. If it is less than h, it is determined that the driving situation is “Caution”, message 3- (2) is selected and Flag2 = 1 is set (step 50), and the vehicle average speed is 60.
When it is km / h or more, it is determined that the driving situation is “bad”, message 3- (3) is selected, and Flag2 = 1 is set (step 51).

Then, it is determined whether or not the B count of the driver's biometric information is 5 or more, or whether or not the B count of the driver's biometric information has been added most recently (step 52). When the B count is not added, it is determined that the driving situation is “normal”, there is no message, Flag3 = 0 is set (step 53), and the routine proceeds to a routine for determining the road type of the traveling road (step 55). On the other hand, the B count of the driver's biometric information is 5
If it is the above or the B count is added recently, it is determined that the driving situation is “slightly abnormal”, message 4- (2) is selected and Flag3 = 1 is set (step 50), and the road of the driving road The routine proceeds to a routine for determining the type (step 55).

That is, as shown in FIG. 14, first, it is determined whether or not the S count of the vehicle stop is less than 2 (step 71). When the S count of the vehicle stop is 2 or more, the road type is “urban area”. And the process proceeds to step 74. On the other hand, when the S count of the vehicle stop is less than 2, it is determined that the road type is “highway”, and it is determined whether the vehicle average speed is 65 km / h or more (step 72). When the speed is less than 65 km / h, it is determined that the road type is “city”, and the routine proceeds to step 74. On the other hand, the average vehicle speed is 65 km /
If it is greater than or equal to h, it is determined that the road type is “highway” and Flag4 = 3 is set (step 73).

In step 74, it is determined whether the T count of the vehicle tilt angle is 1 or more and the K count of the rotation angle of the steering wheel is 10 or more, the T count of the vehicle tilt angle is 0, and the steering When the K count of the rotation angle of the wheel is less than 10, it is determined that the road type is “city”, and Flag4 = 1 is set (step 75).
The road type discrimination routine is terminated. On the other hand, when the T count of the vehicle tilt angle is 1 or more and the K count of the rotation angle of the steering wheel is 10 or more, the road type is “
It is determined that the road is “mountain road” and Flag4 = 2 is set (step 76), and the road type determination routine is terminated.

Then, as shown in FIG. 15, in step 56, Flag2 of the vehicle average speed is “
It is determined whether Flag3 of the driver's biometric information is “1”, Flag2 of the vehicle average speed is “1”, and Flag3 of the driver's biometric information is “1”. If so, the voice of the message is set high (step 59). On the other hand, if Flag 2 of the vehicle average speed is not “1” and Flag 3 of the driver's biometric information is not “1” or one of them does not correspond, it is determined whether Flag 1 of the emergency driving operation is “1”. (
Step 57) When Flag1 of the emergency driving operation is “1”, the voice of the message is set to be high (Step 59).

On the other hand, when Flag 1 of the emergency driving operation is not “1”, it is determined what Flag 4 of the vehicle average speed is (Step 58). When Flag 4 of the vehicle average speed is “3”, the voice of the message is Set to large (step 59) and Flag4 of the vehicle average speed is "2"
If so, the voice of the message is set to medium (step 60), and the average vehicle speed Fla
When g4 is “1”, the voice of the message is set to low (step 61). Then, the messages 1 to 4 are set to be notified by voice at the set volume (step 62), and the message creation routine is terminated. Returning to the flowchart of FIG.
3, the corresponding message is selected to display an image of the message, and the message is notified by voice of a predetermined volume, and then the process returns to step 9 to reset the monitoring start time and reset each count of monitoring Then, the above process is repeated.

As is clear from the above description, in this embodiment, the sleepiness level pattern for each time of day is set separately for each driver's long working hours, so that the engine that matches the current driver It is possible to determine the sleepiness level at the time of start and running, and to perform accurate safety support corresponding to the determination result of the sleepiness level. Therefore, it becomes possible to make the current driver take actions according to safety support before driving or during driving, and safe driving can be supported simply, accurately and sufficiently.

Moreover, since the sleep information in the short period of the current driver is also acquired, a more accurate comment according to the sleepiness level and sleep level at the time of engine start that matches the current driver can be notified. That is, even if the driver's sleep is sufficient depending on the driver's short-term sleep information, the biological rhythm may be unstable depending on the driver's long-term sleepiness pattern, so the sleepiness level and sleep level are acquired. This makes it possible to notify a more accurate comment. Therefore, it becomes possible to make the current driver take an action according to the comment before driving, and it is possible to easily, accurately and sufficiently support high-quality safe driving.

Moreover, since the sleep time of the previous day, the deep sleep level, and the sleep start time are acquired as sleep information, the accurate sleep level of the current driver driving on that day can be acquired. Moreover, since the road type at the time of vehicle driving | running | working by the present driver is acquired, the exact safety support according to the sleepiness degree of the present driver and the present road type can be performed. Therefore, it is possible to cause the current driver to perform driving according to safety support during driving, and safe driving can be supported simply, accurately, and sufficiently. In addition, since the safety support is to maintain the message, sound, vibration, temperature, and the inter-vehicle distance necessary for safety, which assists safe driving, the current driver can be made aware of safe driving. Further, since at least one of driving information and biological information when the vehicle is driven by the current driver is acquired and at least one of the driving information and biological information is abnormal, the safety support is executed. If it occurs, it is possible to execute safety support that immediately stops driving, and it is possible to enhance safe driving.

In the above-described embodiment, the sleepiness pattern for each time of day is set according to the type of driver, but may be set for each vehicle type. The general driver may be further classified into occupational drivers. Moreover, although sleep time, the deep sleep level, and sleep start time were mentioned as an example as sleep information, it is not limited to these, For example, what is necessary is just information regarding sleep, such as breathing. In addition, as the road information, the number of vehicle stops, the average vehicle speed, the vehicle inclination angle, and the rotation angle of the steering wheel are given as examples. However, the road information is not limited to these. It may be information on roads such as wetness. Moreover, although emergency driving operation, vehicle average speed, and biometric information were mentioned as driving information, it is not limited to these, For example, what is necessary is just information regarding driving, such as driving history.

In addition, it was configured to notify the comment before driving in consideration of sleepiness and sleep information,
You may comprise so that the comment before a driving | operation may be alert | reported only considering sleepiness degree. Moreover, although it comprised so that a comment might be alert | reported before a driving | operation and a message might be alert | reported during a driving | operation, it is good also as a structure which alert | reports only any one. Moreover, although it comprised so that it might mount in a vehicle as the safe driving support apparatus 1, it records on CD etc. as a safe driving support program, and it installs in the computer mounted in the vehicle, or distributes using a network, and a vehicle You may make it install in the computer mounted in.

DESCRIPTION OF SYMBOLS 1 ... Safe driving support apparatus, 2 ... Vehicle, 3 ... Home, 10 ... Driver specification means, 11 ... Sleepiness level setting means, 12 ... Time measuring means, 13 ... Sleep level acquisition means, 14 ... Road type acquisition means,
15 ... Information acquisition means, 16 ... Discrimination means, 17 ... Storage means, 18 ... Safety support execution means,
DESCRIPTION OF SYMBOLS 21 ... Bed, 51 ... Sleep information detection apparatus, 52 ... Road information detection apparatus, 53 ... Driving information detection apparatus, 54 ... Biological information detection means, 55 ... Safety support apparatus.

Claims (6)

Driver identification means for identifying the type of the current driver driving the vehicle;
Sleepiness level setting means for setting a sleepiness level pattern for each time of day according to the type of driver;
A time measuring means for measuring time;
A discriminating unit for discriminating the sleepiness level at the current time read from the timing unit based on the sleepiness level pattern corresponding to the type of the current driver read from the sleepiness level setting unit;
Storage means for storing safety support according to the sleepiness;
Safety support execution means for reading out and executing the safety support corresponding to the sleepiness degree determined by the determination means from the storage means;
A safe driving support device comprising: In claim 1,
Sleep level acquisition means for acquiring sleep information of the current driver and acquiring a sleep level based on the sleep information,
In the storage means, comments according to the sleepiness level and the sleep level are stored,
The safety support execution unit reads out the comment corresponding to the sleepiness level and the sleep level from the storage unit when the engine is started, and notifies the safety driving support device. In claim 2,
The said sleep information is the sleep time of the previous day, the deep sleep level which shows the ratio of the sleep time used as the sleep depth more than predetermined in this sleep time, and the time when sleep was started, The safe driving support apparatus characterized by the above-mentioned. In claim 1,
It has road type acquisition means to acquire the type of road that is running,
The storage means stores safety support according to the sleepiness level and road type,
The safe support execution means reads the safety support according to the sleepiness level and the road type from the storage means and executes the safety support. In claim 4,
The safe driving support device is characterized in that at least one of a message, sound, vibration, temperature, and maintenance of an inter-vehicle distance necessary for safety is maintained. In claim 4 or 5,
Comprising information acquisition means for acquiring at least one of driving information and biological information during driving of the current driver;
The storage means stores safety support that is executed when at least one of driving information and biological information is abnormal,
The safe driving support device, wherein when at least one of the driving information and the biological information is abnormal, the safety support is read from the storage device and executed.

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