JP2003320865A - Driver future condition presumption device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a driver future condition presumption device correcting a deviation of driver's recognition and promoting an improvement of driving by presuming an accidental encountering degree in the future of the driver corresponding to the traveling condition and promoting maintenance and enhancement of a safety intention for the driver keeping in mind safety driving. <P>SOLUTION: A driving information detected by a driving information detection means 10 comprising a traveling information detection means 11 and a driver condition detection means 12 is fed to a temporary accidental encountering presumption means 20 and is accumulated in a driver information accumulation means 40. The temporary accidental encountering presumption means 20 presumes the temporary accidental encountering degree based on the traveling information and the driver condition and the presumption is transmitted to the driver, a manager or a third party through a transmission means 30. Whereas, a long-term driver characteristic judgment means 50 judges a long-term driver characteristic based on the traveling information for a predetermined period. The driver accidental encountering presumption means 60 presumes the accidental encountering degree in the future of the driver based on the long-term driver characteristic and the previously set accidental encountering presumption degree and the presumption is transmitted to the driver, the manager or the third party through the transmission means 30. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a driver future situation predicting apparatus for determining driving characteristics of a driver and predicting a possibility that the driver will encounter an unexpected situation in the future.

[0002]

2. Description of the Related Art As a device for evaluating the driving characteristics of a driver, for example, a device disclosed in Japanese Patent Laid-Open No. 2000-247162 is disclosed. This device objectively evaluates the driver's long-term driving condition or the instantaneous driving condition from the viewpoints of the degree of safe driving and the effect on the environment, and by notifying the driver of this evaluation result, Safe driving for drivers,
It is intended to provide a device for raising awareness of environmental considerations.

[0003]

The conventional device objectively evaluates the long-term driving condition or the instantaneous driving condition of the driver. However, the conventional device generally has a high acceleration / deceleration or lateral acceleration, that is, the accelerator, the brake, the steering wheel are operated suddenly, or the distance between the vehicles is short. Driving is evaluated from the viewpoint. Moreover, the evaluation method of the long-term driving condition and the evaluation method of the instantaneous driving condition are not distinguished, and the same information is used for the evaluation. Therefore, the evaluation result is frequently transmitted just because the instantaneous driving state is not encouraged, or the evaluation result is transmitted even if the driver is aware that he / she was driving at risk. There was a problem.

The present invention is a device for predicting the accidental encounter of the driver, that is, a device for predicting the accidental encounter of the driver and transmitting the prediction result to the driver or the like, which is annoying to the driver. The prediction result can be transmitted without any problem, and by objectively evaluating and transmitting the degree of accidental encounter of the driver in the future, the driver's perception gap can be corrected and driving improvement can be promoted, or the driver can drive safely. It is an object of the present invention to provide a driver future situation prediction device capable of promoting maintenance and improvement of safety awareness to a driver who is keeping in mind.

[0005]

The present invention will be described with reference to the following drawings showing an embodiment. (1) The driver future situation prediction device according to claim 1 is a vehicle state detecting means 13 for detecting a traveling state of the host vehicle.
And a traveling information detecting means 11 having at least one of traveling environment detecting means 14 for detecting a traveling environment, and a driver information detecting means for detecting a state of a driver of the own vehicle or a driving operation of a driver of another vehicle. 12, 100, the traveling information detecting means 11 and the driver information detecting means 12, 1
Instant accidental encounter predicting means 2 for instantaneously predicting the accidental encounter degree of a driver in a predetermined driving situation based on the information detected in 00 and outputting a prediction result according to the predicted accidental encounter degree 2
0, a driving information storage unit 40 that stores the information detected by the driving information detection unit 11, and a long-term driver characteristic determination that determines the characteristics of the driver from the information stored in the driving information storage unit 40. Means 50, driver characteristics judged by the long-term driver characteristics judgment means 50, and a driver's accidental encounter prediction for predicting a future accidental encounter degree of the driver based on a preset accident prediction degree. By including the means 60 and the transmission means 30 for transmitting the prediction result of the instantaneous accidental encounter prediction means 20 and the driver accidental encounter prediction means 60 to the driver, the manager, or a third party,
The above-mentioned object is achieved. (2) The invention of claim 2 is the driver future situation prediction device according to claim 1, wherein the transmission means 30 transmits the prediction result of the momentary accidental encounter prediction means 20 to the driver,
The prediction result of the driver accidental encounter prediction means 60 is transmitted to a manager or a third party. (3) The invention of claim 3 is the driver future situation predicting device according to claim 1 or claim 2, wherein the instantaneous unexpected encounter predicting means 20 indicates that the predetermined driving situation is detected by the traveling information detecting means 11. If detected, it is determined whether or not the driver of the own vehicle is intentionally driving based on the state of the driver of the own vehicle detected by the driver information detecting means 12, and the determination result It is characterized by predicting the degree of accidental encounter based on. (4) The invention of claim 4 is the driver future situation prediction device according to claim 3, wherein the traveling information detecting means 11 is
The traveling environment detecting means 14 detects an intersection subject to a temporary stop regulation, and the vehicle state detecting means 13 detects a deceleration operation of the host vehicle at the time of entering an intersection subject to a temporary suspension regulation. Detects a gaze motion of the driver of the vehicle at the time of entering an intersection where suspension is regulated, and the momentary unexpected encounter predicting means 20 detects an intersection where suspension is regulated by the traveling environment detecting means 14, and When the vehicle state detecting means 13 does not detect the deceleration operation of the own vehicle at the time of entering the intersection, it is determined whether or not the driving at the intersection is intentional based on the detection result of the driver information detecting means 12. It is characterized by making a judgment and predicting the accidental encounter degree of the driver based on the judgment result. (5) The invention of claim 5 is the driver future situation prediction device according to claim 1 or claim 2, wherein the driver information detecting means 100 outputs information related to a driving operation of a driver of the other vehicle outside the vehicle. From the other vehicle received by the receiving means 100 when the predetermined driving situation is detected by the traveling information detecting means 11, the receiving means 100 receives from the other vehicle. To determine whether or not the driver of the other vehicle has performed a driving operation that avoids an unexpected situation based on information about the driving operation of the driver, and predict the degree of accidental encounter of the driver based on the determination result. Is characterized by. (6) The invention of claim 6 is the driver future situation predicting device according to claim 5, wherein the traveling information detecting means 11 comprises:
The vehicle state detecting means 13 or the traveling environment detecting means 14 detects the lane change behavior of the own vehicle, and the receiving means 100 displays information regarding the driving operation of the driver of the vehicle on the side or the rear of the own vehicle. The instantaneous unexpected encounter predicting means 20 detects and the traveling information detecting means 11 detects
When the lane change behavior of the own vehicle is detected by the vehicle, based on the information on the sudden braking or the sudden operation of the side vehicle received by the receiving means when the lane of the own vehicle is changed, or the lane of the own vehicle. After the change, the receiving means 1
It is determined whether the driver of the side vehicle or the following vehicle has performed the avoidance driving operation based on the information on the sudden braking or the rapid operation of the following vehicle received by 00, and based on the determination result, it is unintentional. It is characterized by predicting the degree of encounter. (7) The invention according to claim 7 is the driver future situation prediction device according to claim 5, wherein the traveling information detecting means 11 comprises:
The vehicle state detecting means 13 or the traveling environment detecting means 14 detects a right-turning behavior of the host vehicle, and the receiving means 100 detects information about a driving operation of a driver of an oncoming vehicle when the host vehicle turns right. The momentary unexpected encounter predicting means 20, when the driving information detecting means 11 detects a right-turning behavior of the own vehicle, the sudden information of the oncoming vehicle received by the receiving means 100 when the own-vehicle turns right. It is characterized in that it is determined whether or not the driver of the oncoming vehicle has performed an avoidance driving operation based on information on braking or sudden operation, and the accidental encounter degree is predicted based on the result of the determination. (8) The invention according to claim 8 is the driver future situation prediction device according to claim 5, wherein the traveling information detecting means 11 comprises:
The traveling environment detecting means 14 detects an intersection, and the vehicle state detecting means 13 detects an approach action of the own vehicle to the intersection. The receiving means 100, when the own vehicle enters the intersection, detects the own vehicle. The information about the driving operation of the driver of the intersecting vehicle traveling in the direction intersecting with the traveling direction of
The intersection is detected by the traveling environment detecting means 14,
Further, when the vehicle state detecting means 13 detects the approaching behavior of the own vehicle to the intersection, the information on the sudden braking or the abrupt operation of the intersecting vehicle received by the receiving means 100 when the own vehicle enters the intersection. On the basis of the above, it is determined whether or not the driver of the intersection vehicle has performed the avoidance driving operation, and the accidental encounter degree is predicted based on the determination result.

In the description of the means for solving the above-mentioned problems in the structure of the present invention, the drawings of the embodiments are used for the purpose of explaining the present invention in an easy-to-understand manner. It is not limited to this form.

[0007]

According to the present invention, the following effects can be obtained. (1) According to the invention of claim 1, the instantaneous accidental encounter prediction means determines a predetermined driving condition based on the driving condition of the own vehicle and the driver condition of the own vehicle or the driving operation of the driver of another vehicle. It is possible to accurately predict that there is a driving situation with a high level of accidental encounter that requires the driver's attention by instantly predicting the degree of accidental encounter with a vehicle. Only by transmitting the prediction result of the instantaneous accidental encounter prediction means to the driver, it is possible to transmit the prediction result of the accidental encounter degree without causing the driver trouble. In addition to predicting the momentary accident encounter degree, the driver also encounters an unexpected situation in the future, because it predicts the future unexpected accident degree by accumulating information about the running state and traveling environment of the own vehicle. The driver's driving suitability can be objectively evaluated from the viewpoint of whether the possibility is high or low. (2) According to the second aspect of the present invention, since only the prediction result of the instantaneous unexpected encounter prediction means is transmitted to the driver, it is possible to reduce annoyance to the driver due to frequent transmission of the prediction result. it can. In addition, by transmitting the prediction result of the driver's accidental encounter degree prediction means to a manager or a third party, the predicted accidental encounter degree can be used as reference information for driver guidance, placement, etc., or as a reference for setting insurance rates. Can be (3) According to the inventions of claims 3 and 4, when the accidental encounter degree is high and it is predicted that the driver is not aware of this, driving is performed immediately after the prediction result of the accidental encounter degree. Since it is transmitted to the driver, the driver can be effectively alerted. (4) According to the inventions of claims 5 to 8, the receiving means receives the information regarding the driving operation of the driver of the other vehicle, and based on the received information, the lane of the own vehicle is changed, the vehicle is turned right, or the intersection is entered. Since it is determined whether or not the driver of the other vehicle has performed the avoidance operation in the predetermined traveling condition, the accidental encountering degree that causes the other vehicle to perform the avoidance operation depending on the traveling state of the own vehicle is high, and When it is predicted that the driver is not aware, the predicted result of the accidental encounter degree is immediately transmitted to the driver, so that the driver can be effectively warned.

[0008]

BEST MODE FOR CARRYING OUT THE INVENTION <First Embodiment> FIG. 1 shows a basic configuration of a first embodiment of a driver future situation prediction apparatus according to the present invention. This driver future situation prediction device is a vehicle state detection means (for example, a vehicle speed sensor, a brake operation detection switch) 13 for detecting the traveling state of the host vehicle and a traveling environment detection means (for example, a CCD camera and an image) for detecting the traveling environment. Driving information detecting means 11 having at least one of the processing circuits 14 and driver state detecting means 12 (for example, a CCD camera and an image processing circuit) 12 for detecting the driving state of the driver.
An instantaneous unexpected encounter prediction means (for example, calculation by a microcomputer) 20, a transmission means (for example, a display monitor) 30, a driving information storage means (for example, a non-volatile memory) 40, and a long-term driver characteristic determination Means (for example, calculation by a microcomputer) 50, driver accidental encounter prediction means (for example, calculation by a microcomputer) 60, accidental encounter prediction degree storage means (for example, RO)
M) 70.

The traveling information detected by the driving information detecting means 10 and the driving information data concerning the driver's state are sent to the instantaneous unexpected encounter predicting means 20. Further, the driving information data relating to the travel information detected by the driving information detecting means 10 is sent to the driving information accumulating means 40. Driving information storage means 4
0 stores driving information data for a predetermined period (for example, driving information data when an unillustrated ignition switch is on for 10 hours). The instantaneous accidental encounter prediction means 20 instantaneously predicts the accidental encounter degree of the driver when the driving information detection means 10 detects a predetermined driving situation. Here, the instantaneous unexpected encounter prediction means 20
When the predetermined driving situation is detected by the traveling information detecting means 11, whether or not the driving of the driver is intentional is based on the state of the driver of the own vehicle detected by the driver information detecting means 12. It is determined whether or not the accidental encounter degree is predicted based on the determination result. Instant unexpected encounter prediction means 20
The degree of accidental encounter of the driver, which is instantly predicted by, is transmitted to the driver, the manager, or a third party via the transmitting means 30.

On the other hand, the driving information data for a predetermined period accumulated in the driving information accumulating means 40 is sent to the long-term driver characteristic judging means 50. The period for accumulating information may be set to a value desired by the driver, or may be set to a period that is not related to the on / off state of the ignition switch. The long-term driver characteristic determination means 50 determines the driver characteristic in a predetermined period. The long-term driver characteristic data determined by the long-term driver characteristic determining means 50 is:
It is sent to the driver's unexpected encounter prediction means 60. The driver's accidental encounter prediction means 60 reads information on the relationship between the driver characteristics and the accidental encounter prediction degree from the accidental encounter prediction degree storage means 70,
From this information and long-term data of driver characteristics, the degree of driver accidental encounter is predicted. The result predicted by the driver accidental encounter prediction means 60 is sent to the transmission means 30 and is transmitted to the driver, the manager, or a third party.

The operation of the driver future situation prediction apparatus according to the first embodiment of the present invention will be described below with reference to FIGS.

FIG. 2 shows a driving scene (driving situation) in which the host vehicle passes through a stop intersection without a traffic light. 3 and 4 are flowcharts showing the process of predicting the degree of accidental encounter of the driver in the traveling scene shown in FIG.

First, in step S101 shown in FIG.
If the ignition switch is turned on, step S
At 102, the driving information detecting means 10 starts detection of traveling information (vehicle state, traveling environment) and driver state. The driving information detected by the driving information detecting means 10 is recorded in the driving information storage means 40 (step S103). It should be noted that the driving information accumulating unit 40 records the traveling information such as the vehicle state and the traveling environment until the ignition switch is turned off in step S105 described later. In step S104, it is determined whether the ignition switch has been turned off. If it is determined in step S104 that the ignition switch is not off, the process proceeds to step S105 in order to predict the degree of momentary accidental encounter in the momentary accidental encounter prediction means 20.

In step S105, the driving information detecting means 1
When the driving environment detecting means 14 of 0 detects the passage of the temporary stop intersection as the predetermined driving situation, at the same time, the vehicle state detecting means 13 detects the deceleration operation of the own vehicle at the time of passing the intersection and the driver state detection. The means 12 detects the gaze behavior of the driver of the own vehicle when passing the intersection. Here, passage of a temporary stop intersection as a predetermined driving condition means passage of a temporary stop intersection without a traffic light as shown in FIG.

In step S106, step S105
It is determined whether the deceleration operation is not detected at the time of passing the intersection or entering the intersection. Step S105
If it is determined that the deceleration operation is not detected in step S10, the process proceeds to step S107. In step S107, step S
At 105, it is determined whether or not the driver did not gaze in the left and right direction of the intersection when passing through or entering the intersection. If it is determined in step S107 that the gaze action in the left-right direction has not been performed, the process proceeds to step S108. On the other hand, step S106 or step S107
If the determination is negative, the process returns to step S104.

In step S108, the momentary accidental encounter predicting means 20 has a high degree of momentary accidental encounter because the deceleration operation is not performed when passing through the stop intersection without a traffic light, and the safety confirmation in the left-right direction is neglected. To determine. In step S109, the prediction result of step S108 is output to the transmission means 30. In step S110, the transmission means 3
At 0, a display and a message are provided to the driver to predict the instantaneous degree of accidental encounter of the driver. After that, the process returns to step S104, and the processes of steps S105 to S110 described above are performed until the ignition switch is turned off.

The detection of the stop intersection without a traffic light by the traveling environment detecting means 14 in step S105 described above is performed by, for example, capturing an image in front of the vehicle with a CCD camera, image-processing the captured image, and performing "image processing" on the road surface. This can be done by recognizing a "stop" sign or a stop sign. It can also be detected by a navigation device mounted on the vehicle. Alternatively, an infrastructure receiver may be mounted on the vehicle and a signal from an infrastructure such as a transmitter installed at an intersection where traffic suspension is regulated may be received to detect an intersection where traffic suspension is not regulated.

Regarding the deceleration operation detected by the vehicle state detecting means 13 in step S106, for example, deceleration is performed when a brake operation detection switch (not shown) provided near the brake pedal is turned on in response to the operation of the brake pedal. It can be determined that the operation has been performed. Further, regarding the gaze behavior of the driver in the left and right directions by the driver state detecting means 12 in step S107, for example, a CCD camera is installed in front of the vehicle to capture the face of the driver, and the captured image is subjected to image processing. As a result, it is possible to detect whether or not the driver is performing safety confirmation in the left-right direction of the intersection.

On the other hand, if it is determined in step S104 that the ignition switch is off, step S1
Proceed to 11. In step S111, it is determined whether or not the driving information storage means 40 has stored data for a predetermined period.
When step S111 is positively determined, step S11
Then, the processing in the long-term driver characteristic judging means 50 is started. When the determination in step S111 is negative and the data of the predetermined period is not accumulated, the steps S101 to S10 are performed until the data of the predetermined period is accumulated.
4, processing of step S111 is performed.

In step S113, the driving information data is read from the driving information storage means 40 in order to judge the long-term driver characteristics. In step S114, the read driving information data is processed, and in step S115, the long-term driver characteristic is determined. Then, it progresses to step S201 of the flowchart of FIG. The long-term driver characteristic determination process will be described later with reference to the flowchart of FIG.

The flowchart of FIG. 4 shows the processing steps relating to the driver's accidental encounter prediction means 60 and the transmission means 30.
Upon receiving the processing of step S115 in FIG. 3, step S20
At 1, the process by the driver unexpected encounter prediction means 60 is started. In step S202, the driver characteristic determination result by the long-term driver characteristic determination means 50 determined in step S115 is read. In step S203, the relationship between the driver characteristics and the accidental encounter prediction degree stored in advance in the accidental encounter prediction degree storage unit 70 is read. In step S204, the driver characteristics read in step S202 and step S20
Based on the accidental encounter prediction degree read in step 3, the future driver's accidental encounter degree is predicted. In step S205, the prediction result of the future driver unexpected accident degree predicted in step S204 is output to the transmission means 30. Step S206
Then, the transmission means 30 provides the manager or the third party with the prediction result of the accidental encounter degree of the driver through the display and the message.

Next, the process of determining the long-term driver characteristics and predicting the future accidental encounter degree based on the long-term driver characteristics will be described with reference to FIGS. 5 to 9. Figure 5
It is a flowchart which shows the process of prediction of a driver's accidental encounter degree based on the long-term driver characteristic in the driving scene shown in FIG.

First, as the processing of the driving information detecting means 10 and the driving information accumulating means 20 described in steps S102 and S103 of FIG. 3, intersection information and vehicle speed data are detected and accumulated (A-1). As the data processing for the driver characteristic determination in the long-term driver characteristic determination means 50 in step S114 of FIG. 3, the integrated value P of the vehicle speed scores at the time of entering the temporary stop intersection is calculated (A
-2). Here, a specific method of calculating the integrated value P of the vehicle speed score will be described with reference to FIG.

FIGS. 6A and 6B are data of the relationship between the vehicle tip position and the vehicle speed at the actual stop intersection of the drivers A and B. The horizontal axis 0 indicates the stop line position of the temporary stop intersection, and the end of the intersection is set about 2.2 m ahead of the stop line. In the present embodiment, not only the vehicle speed before the stop line but also the vehicle speed at the time of entering the intersection is detected to determine the driver's characteristics. Here, intersection information such as how far the stop line is from the end of the intersection can be detected by the traveling environment detecting means 14. For example, an image captured by a CCD camera (not shown) is binarized by an image processing circuit to detect the stop line position.

The driver A shown in FIG. 6 (a) has sufficiently decelerated from the vicinity of the stop line and is slowly entering the intersection, and is able to perform defense driving against the intersection vehicle and the approaching vehicle. On the other hand, the driver B shown in FIG. 6 (b) is passing through the intersection with insufficient deceleration, and is not able to perform defensive driving. Therefore, as the vehicle speed score, the lower the speed, the higher the score. Here, the standard of low speed is about 5 km / h
Then, the difference between the reference vehicle speed and the vehicle speed when the driver passes the intersection at a speed equal to or lower than the reference vehicle speed and the distance traveled by the vehicle in the intersection entry section are integrated. From this, the area of the black-painted portion in FIG. 6 is obtained, and this value is set as the vehicle speed score integrated value P.

That is, only when the driver passes the intersection at a speed equal to or lower than the reference vehicle speed, the distance is integrated to calculate the integrated vehicle speed rating value. Therefore, as the driver travels at the intersection at a lower speed, the difference between the reference vehicle speed and the vehicle speed at the time of entering the intersection becomes larger, and the vehicle speed score integrated value P also becomes higher. When driving like Driver A, the area of the black-painted portion becomes large and the vehicle speed score integrated value P becomes a high value, but when driving like Driver B, the area of the black-painted portion becomes small, The vehicle speed score integrated value P becomes a low value, and the driver characteristics at the time of entering a temporary stop intersection can be well represented.

Here, the vehicle speed of the vehicle entering the intersection is measured, the traveling distance of the vehicle converted from the vehicle speed (the tip position of the vehicle based on the stop line), the reference vehicle speed and the vehicle speed of the vehicle at the time of entering the intersection. Although the example in which the vehicle speed rating integrated value P is calculated by integrating the difference with the above is shown, the integration may be performed based on the elapsed time when the vehicle enters the intersection. However, when the vehicle speed and the traveling distance are integrated, the stop state due to the passage of the crossing vehicle is not included in the integration, so that the driver characteristics can be determined even if the vehicle is affected by other traffic. Further, when the vehicle speed score is calculated by integrating the vehicle speed and the elapsed time, the stopped state due to the passage waiting of the intersecting vehicle may be integrated and become a high value, so the integrated value is equal to or more than the predetermined value. In this case, it is desirable to perform a cancellation process such as not adopting it as a driver characteristic.

In subsequent A-3, step S1 shown in FIG.
As the long-term driver characteristic determination processing in 15,
The average value Pm is calculated from the data of the N vehicle speed score integrated values P calculated in 2, and the driver characteristic at the time of entering the temporary stop intersection is determined. 7 (a) and 7 (b) show the driver characteristics of the driver A and the driver B at the time of entering a temporary stop intersection, respectively. The horizontal axis is the vehicle speed score integrated value P, and the vertical axis is the vehicle speed score integrated value P
Indicates the calculated frequency. Here, the average value Pam of the vehicle speed score integrated values of the driver A and the average value Pbm of the vehicle speed score integrated values of the driver B are set as the driver characteristic of the driver A and the driver characteristic of the driver B, respectively.

At A-4, as a process of reading the unexpected encounter prediction degree in step S203 of FIG. 4, the unexpected encounter prediction degree between the driver characteristic P and the intersecting vehicle at the time of entering a temporary stop intersection as shown in FIG. The relationship with K is read from the accidental encounter prediction degree storage means 70. The higher the value of the driver characteristic P at the time of entering the temporary stop intersection, the lower the value of the predictive degree K of accidental encounter with the intersecting vehicle. This relationship is set in advance by carrying out experiments and the like. The accidental encounter prediction degree when the average value Pm of the driver characteristics P is the average value Km.

According to the driver characteristic Pm determined in A-3,
The accidental encounter degree Kp with an intersecting vehicle is predicted with reference to the PK table in FIG. 8 (A-5). As the prediction result, for example, as shown in FIG. 9, the accidental encounter degree Kp with the intersecting vehicle at the temporary stop intersection is calculated. From FIG. 8, driver A
The degree of accidental encounter is Kap, and the degree of accidental encounter of driver B is Kbp
Therefore, it is understood that the probability that the driver B who has entered the intersection with insufficient deceleration has an accidental encounter with an intersecting vehicle in the future is higher than that of the driver A.

Further, how high or low the calculated accidental encounter degree Kp is calculated with respect to the average value Km of the accidental encounter prediction degree K. Here, the ratio to the average value Km is represented by Kp / Km. The accidental encounter degree Kap of the driver A with an intersecting vehicle is lower than the average, Kap / Km times, and the driver B
The degree of accidental encounter with crossing vehicles in
p / Km times. The calculated prediction result can be output to the transmission means 30 and transmitted to the manager or a third party.

When the accidental encounter degree predicted by the driver unexpected accident encountering means 60 is transmitted via the transmitting means 30 as described above, the driver, the manager, or the third person is in accordance with the accidental encounter degree. It may be transmitted to. For example,
The predicted unexpected encounter degree is the average value Km of the unexpected encounter predictive degree K.
If the predicted accident degree is lower than the average value Km of accident encounters, the manager or the third person is notified.
It may be transmitted only to the person. Furthermore, when transmitting the prediction result of the accidental encounter degree to a manager or a third party, the prediction result predicted by the driver accidental encounter prediction means 60 is recorded in a recording medium, and is transmitted via an external terminal such as a personal computer. It is also possible to transmit the prediction result to the manager or a third party.
Alternatively, the prediction result predicted by the driver accidental encounter prediction means 60 may be transmitted to the base station via the transmission means, and then transmitted to the manager or a third party.

According to the above-described process of predicting the accidental encounter degree based on the long-term driver characteristics, whether the driver sufficiently decelerates at the time of approaching the temporary stop intersection based on the long-term accumulated driving information, Alternatively, a driver characteristic such as whether the vehicle passes through an intersection due to insufficient deceleration is determined, and the degree of accidental encounter with an intersecting vehicle is predicted by this. Therefore, it is possible to objectively evaluate the driving suitability of the driver in terms of whether or not the driver is likely to encounter an unexpected situation with an intersecting vehicle in the future.

As described above, the driver future situation prediction apparatus according to the first embodiment of the present invention allows the driver to decelerate when passing through a stop intersection without a traffic light as shown in FIG. It is detected whether or not the safety check has been performed on the left and right of the intersection. If you are passing through an intersection at a constant speed without performing deceleration operation and checking the left and right sides, it is expected that the driver will not be aware of this, despite the extremely high degree of unexpected encounter. It In such a situation, the driver can be alerted by transmitting the degree of unexpected encounter to the driver immediately after predicting the degree of unexpected encounter. On the other hand, long-term driver characteristics are also determined, and from the perspective of whether or not there is a high possibility that the driver will encounter an unexpected situation in the future based on the long-term driver characteristics and the unexpected encounter prediction degree, it is low. It is possible to objectively evaluate the appropriateness of driving.

In the first embodiment of the present invention, the method of predicting the accidental encounter degree differs depending on the accidental encounter degree predicted instantaneously and the accidental encounter degree predicted after a predetermined period. Depending on the degree, whether to transmit the prediction result immediately after predicting the accidental encounter degree or to transmit the prediction result after a predetermined period is set. For example, if you pass at a stop intersection without a traffic light without decelerating and checking the left and right safety, you will have a very high chance of encountering accidents, that is, predict that the urgency is high.
Immediately after predicting the unexpected encounter degree, the prediction result is transmitted to the driver or the like. As a result, the driver can be alerted according to the degree of urgency (degree of unexpected encounter). When the driver needs attention, the prediction result is immediately transmitted, and when the driver is aware of driving with a high degree of accidental encounter, the prediction result is not transmitted immediately afterwards, thereby driving It is possible to transmit the prediction result that is more tailored to the driver's sensation without giving the driver any trouble.

<Second Embodiment> FIG. 10 shows the configuration of a driver future situation predicting apparatus according to a second embodiment of the present invention. In FIG. 10, those having the same functions as those of the driver future situation prediction device according to the first embodiment shown in FIG. 1 are designated by the same reference numerals, and detailed description thereof will be omitted. Here, differences from the first embodiment will be mainly described.

As shown in FIG. 10, the driver future situation predicting apparatus according to the second embodiment has at least one of the vehicle state detecting means 13 and the traveling environment detecting means 14 as in the first embodiment. Driving information detecting means 11 having one
Further, the driving information detecting means 10 including the driver state detecting means 12, the instantaneous unexpected encounter predicting means 20, and the transmitting means 3
0, driving information storage means 40, long-term driver characteristic determination means 50, driver accidental encounter prediction means 60, and accidental encounter prediction degree storage means 70. Further, the second embodiment has a receiving means 100 for performing inter-vehicle communication.

When the other vehicle has the driving information detecting means 80 and the transmitting means 90, the receiving means 100 receives the predetermined driving information of the other vehicle by the driving information detecting means 80, and then the receiving means 100 sends the information via the transmitting means 90. Receive information. There are various methods for vehicle-to-vehicle communication, such as CDM.
The A method can be used. The driving information received by the receiving means 100 is sent to the instantaneous unexpected encounter prediction means 20 and also to the driving information storage means 40 to be stored for a predetermined period.

The operation of the driver future situation prediction apparatus according to the second embodiment of the present invention will be described below with reference to FIGS. 11 and 12.

FIG. 11 shows a driving scene (driving situation) in which the host vehicle changes lanes. FIG. 12 is a flowchart showing a process of predicting the degree of accidental encounter of a driver in the traveling scene shown in FIG. 11.

First, step S301 shown in FIG.
Then, when the ignition switch is turned on, in step S302, the driving information detection means 10 of the host vehicle starts detecting driving information (vehicle state). The driving information detecting means 80 of the other vehicle is the driving information detecting means 10 of the own vehicle.
Similarly to the above, the detection of driving information including the operating state of the driver of another vehicle (for example, steering wheel steering angle or operation of the brake operation switch) is started by turning on the ignition switch. The driving information detected by the driving information detecting means 10 is recorded in the driving information storage means 40 until the ignition switch is turned off in step S304 described later (step S303). In step S304,
It is determined whether the ignition switch is off. If it is determined in step S304 that the ignition switch is not off, the step S304 is performed in order to predict the momentary accident encounter degree in the momentary accident encounter prediction means 20.
Proceed to 305.

In step S305, the driving information detecting means 1
When the lane change behavior of the own vehicle is detected as the predetermined driving condition by the vehicle state detection means 13 and the traveling environment detection means 14 of 0, the process proceeds to step S306. Here, the predetermined driving condition indicates a lane change action of the host vehicle Ma as shown in FIG. 11. In step S306, it is determined whether or not the avoidance action of the following vehicle Mb after the lane change is received by the inter-vehicle communication in accordance with the lane change action of the host vehicle Ma detected in step S305. For example, when the steering angle and the brake operation amount of the other vehicle (subsequent vehicle Mb) detected by the driving information detection means 80 of the other vehicle sharply increase immediately after the lane change action of the own vehicle Ma, the following vehicle Mb It is possible to determine that the evasive action was performed by sudden braking or sudden steering. If the affirmative determination is made in step S306 that the avoidance behavior of the following vehicle Mb is detected, step S306
Proceed to 307. On the other hand, if a negative determination is made in step S306, the process returns to step S304.

In step S307, the instantaneous accidental encounter prediction means 20 causes the following vehicle to take the avoidance action due to the lane change of the own vehicle, and predicts that the instantaneous accidental encounter degree is high. In step S308, step S
The prediction result of 307 is output to the transmission means 30. In step S309, the transmission means 30 provides the driver with the prediction result of the momentary accidental encounter degree of the driver by the display and the message. After that, the process returns to step S304, and the above-described step S305 is performed until the ignition switch is turned off.
~ The process of step S309 is performed.

The detection of the lane change action of the own vehicle in step S305 described above is performed by, for example, the steering angle sensor, C
It can be performed by a CD camera or the like. The image of the front of the vehicle captured by the CCD camera is image-processed to detect the traveling lane of the own vehicle, and the steering angle is detected by the steering angle sensor to change the lane to the adjacent lane of the own vehicle. Can be detected. Note that the lane change action can be detected by only image processing without using the steering angle sensor.

On the other hand, if it is determined in step S304 that the ignition switch is off, step S3
Go to 10. In step S310, it is determined whether data has been accumulated in the driving information accumulating unit 40 for a predetermined period.
If the determination in step S310 is affirmative, step S31
Then, the processing in the long-term driver characteristic judging means 50 is started. When a negative determination is made in step S310, the processes of steps S301 to S304 and step S310 are performed until data for a predetermined period is accumulated.

The processing procedure for the determination of the long-term driver characteristics in steps S311 to S314 and the prediction of the future driver accidental encounter degree in steps S201 to S206 (FIG. 4) thereafter is the same as the above-described first procedure. Since it is the same as the embodiment, detailed description will be omitted.

As described above, in the second embodiment of the present invention, when the own vehicle changes lanes as shown in FIG. The vehicle-to-vehicle communication detects whether or not the driver has braked or steered the vehicle. When the avoidance behavior of the following vehicle or the side vehicle is detected by the vehicle-to-vehicle communication, it is presumed that the own vehicle has not been sufficiently confirmed to start the lane change or the lane change timing is inappropriate. In this case, it is expected that the driver himself is not aware of the high degree of accidental encounter, despite the high degree of accidental encounter, because the vehicle performing the evasive action is behind the vehicle. To be done. In such a situation, it is possible to call attention by transmitting the unexpected encounter degree to the driver immediately after the high unexpected encounter degree is predicted.

Further, the long-term driver characteristic is determined in the same manner as in the first embodiment described above, and the long-term driver characteristic is determined as follows.
It is possible to objectively evaluate the driving suitability of the driver from the viewpoint of whether or not there is a high possibility that the driver will encounter an unforeseen situation in the future, based on the unexpectedness encounter prediction degree set and stored in advance.

In the second embodiment of the present invention, the accidental encounter degree is determined according to the degree of the accidental encounter based on the information of the avoidance operation of the other vehicle by the inter-vehicle communication, for example, the presence or absence of the avoidance behavior of the following vehicle. It is set whether to transmit the prediction result immediately after the degree prediction or to transmit the prediction result after a predetermined period. As a result, the driver can be alerted according to the degree of urgency (degree of unexpected encounter). By not transmitting the prediction result immediately when the driver is aware of driving with a high degree of accidental encounter and not immediately transmitting it when the driver needs attention. It is possible to transmit the prediction result that is more tailored to the driver's sensation without giving the driver any trouble.

<< Third Embodiment >> The configuration of a driver future situation prediction apparatus according to a third embodiment of the present invention is shown in FIG.
It is similar to the second embodiment shown in FIG. here,
Differences from the first and second embodiments will be mainly described.

The operation of the driver future situation predicting apparatus according to the third embodiment of the present invention will be described below with reference to FIGS. 13 and 14.

FIG. 13 shows a driving scene (driving situation) in which the vehicle makes a right turn at an intersection. FIG. 14 is a flowchart showing a process of predicting the degree of accidental encounter of the driver in the traveling scene shown in FIG.

First, when the ignition switch is turned on in step S401, the driving information (vehicle state) is detected by the driving information detecting means 10 of the own vehicle in step S402.
The detection of is started. In addition, the driving information detection means 8 of the other vehicle
In 0, detection of driving information of another vehicle is started by turning on the ignition switch. The driving information detected by the driving information detecting means 10 is recorded in the driving information storing means 40 until the ignition switch is turned off (step S).
403). In step S404, it is determined whether the ignition switch has been turned off. Step S404
If it is determined that the ignition switch is not turned off, the process proceeds to step S405 in order to predict the degree of momentary accidental encounter in the momentary accidental encounter prediction means 20.

In step S405, the driving information detecting means 1
When the vehicle state detecting unit 13 and the traveling environment detecting unit 0 of 0 detect the right turn behavior of the own vehicle as the predetermined driving situation, the process proceeds to step S406. Here, the right-turning behavior of the host vehicle as the predetermined driving situation indicates the right-turning behavior of the host vehicle Ma as shown in FIG. In step S406, it is determined whether or not the avoidance action of the oncoming vehicle Mc (for example, sudden braking or sudden steering) is received by the inter-vehicle communication in accordance with the right-turn action of the host vehicle Ma detected in step S405. If an affirmative decision is made in step S406 that an avoidance behavior of the oncoming vehicle Mc has been detected, the operation proceeds to step S407. On the other hand, if a negative determination is made in step S406, the process returns to step S404.

In step S407, the instantaneous accidental encounter prediction means 20 causes the oncoming vehicle to perform the avoiding action due to the own vehicle's right turn behavior, and it is predicted that the instantaneous accidental encounter degree is high. In step S408, step S
The prediction result of 407 is output to the transmission means 30, and step S
At 409, the driver is provided with the prediction result of the instantaneous accidental encounter degree of the driver by the display and the message in the transmission means 30. After that, the process returns to step S404.

Incidentally, the detection of the right-turning action of the own vehicle in the above-mentioned step S405 is performed by, for example, a steering angle sensor, a CCD.
It can be performed by a camera or the like. It is possible to detect that the host vehicle has made a right turn by performing image processing on an image in front of the vehicle captured by the CCD camera to recognize the intersection and detecting the steering angle by the steering angle sensor. The right-turning action can be detected by only image processing without using the steering angle sensor.

On the other hand, if it is determined in step S404 that the ignition switch is off, step S4
Go to 10. In step S410, the driving information storage means 4
If it is affirmatively determined that data has been accumulated in 0 for a predetermined period,
Proceeding to step S411, the long-term driver characteristic judging means 5
The process at 0 is started. When a negative determination is made in step S410, the processes of steps S401 to S404 and step S410 are performed until data of a predetermined period is accumulated.

The processing procedure for the determination of the long-term driver characteristics in steps S411 to S414 and the prediction of the future driver's accidental encounter degree in steps S201 to S206 (FIG. 4) thereafter is the same as the first procedure described above. It is similar to the embodiment. Here, an example of a long-term driver characteristic determination process in the third embodiment will be described with reference to FIGS. 15 to 18.

FIG. 15 shows a map of the processing contents of determining the long-term driver characteristics and predicting the degree of accidental encounter in each driving situation during a right turn. With each driving situation when turning right, for example,
(J) When the oncoming lane is congested and the oncoming vehicle makes a right turn while stopped or slowing down, (i) when making a right turn following a preceding vehicle, and (b) sometimes making a right turn at an intersection with a pedestrian crossing. Here, the long-term driver characteristics are determined for each driving situation and the future accidental encounter degree is predicted.

Steps S402 and S4 in FIG.
As the process of detecting and accumulating the driving information corresponding to No. 03, the driving information detecting unit 10 detects and accumulates the steering data and the vehicle speed data, which is the vehicle state at the time of turning right, the inter-vehicle distance data, or the braking operation for a predetermined period. Further, as information about the traveling environment, information about intersections, information about own lanes, or information about oncoming lanes is detected and stored for a predetermined period. As the processing of the data for the driver characteristics corresponding to step S413 (FIG. 14),
(J) Calculation of the average vehicle speed Vj when the host vehicle passes the oncoming lane to the right when the oncoming traffic is stopped (or slowed down),
(I) Extracting the inter-vehicle distance Li between the preceding vehicle and the host vehicle when making a right turn following the preceding vehicle, and (b) extracting the brake operation before and after the right turn when making a right turn at an intersection with a pedestrian crossing. To do.

Subsequently, as the processing for determining the long-term driver characteristic corresponding to step S414, the traveling environment (j,
The average value Vjm of N average vehicle speeds Vj generated in a predetermined period and the average value Li of N inter-vehicle distances Li generated in a predetermined period, which are calculated or extracted according to i, b), respectively.
m, the number of times Nb of braking when the vehicle makes a right turn N times in a predetermined period is a driver characteristic in each driving situation.

As a process of reading the unexpected encounter prediction level corresponding to step S203 (FIG. 4), the driver characteristics in each driving situation, which are set in advance by performing an experimental run as shown in FIGS. The relationship with the unexpected encounter prediction degree K with an oncoming vehicle or a pedestrian is read from the unexpected encounter prediction degree storage means 70. FIG. 16 is a graph showing the relationship between the driver characteristics when passing the oncoming lane to the right when the oncoming traffic is stopped (or slowed down) and the accidental encounter prediction degree K of the oncoming straight vehicle.
FIG. 17 shows the relationship between the driver characteristics when the vehicle makes a right turn following the preceding vehicle and the unexpected encounter prediction degree K with an oncoming vehicle, and FIG. 18 shows the driver characteristics when making a right turn at an intersection with a pedestrian crossing and pedestrians. The relationship with the unexpected encounter prediction degree K is shown.

The driver characteristic when the host vehicle makes a right turn in the oncoming lane in the oncoming traffic congestion stop (or slow) situation (j) is the average vehicle speed Vj. In the oncoming traffic congestion stop (or slow) situation (j) of FIG. 16, the relationship between the driver characteristics and the unexpected encounter prediction degree K of the oncoming straight ahead vehicle when the host vehicle makes a right turn in the oncoming lane is that the average vehicle speed Vj is It shows that the higher the value of the driver characteristic, that is, the higher the value of the driver characteristic, the higher the accidental encounter prediction degree K becomes. Similarly, the relationship between the driver characteristic and the predictive degree K of accidental encounter with a pedestrian shown in FIG. 18 is the same as the number N of braking operations before and after the right turn is completed when the vehicle turns right at an intersection with a pedestrian crossing.
The higher the value of b, that is, the higher the value of the driver characteristic, the higher the accidental encounter prediction degree K becomes. In addition, the relationship between the driver characteristic at the time of making a right turn following the preceding vehicle and the unexpected encounter prediction degree K with the oncoming straight vehicle shown in FIG. 17 is that the inter-vehicle distance Li with the preceding vehicle increases, that is, the driver characteristic The higher the value, the lower the unexpected encounter prediction K.

From the accidental encounter prediction degree K read in step S203 and the above-mentioned long-term driver characteristics, the process of predicting the unexpected encounter degree for each driving situation at the time of turning right is performed as follows (step S204). . (J) When the oncoming lane is in a traffic jam stop (or slowly): From FIG. 16, it is determined from the driver characteristic Vjm when the oncoming vehicle is in a traffic jam (slow) and the host vehicle makes a right turn in the oncoming traffic lane. (I) Case of making a right turn following a preceding vehicle: From FIG. 17, predicting the degree of unexpected encounter Ki of an oncoming vehicle from the driver characteristic Lim when making a right turn following a preceding vehicle (B) When turning right at an intersection with a pedestrian crossing: From FIG. 18, it is possible to predict the degree of unexpected encounter Kb with a pedestrian crossing from the driver characteristic Nb when turning right at an intersection with a pedestrian crossing. .

The prediction of the degree of accidental encounter in the future based on the long-term driver characteristics described with reference to FIGS. 15 to 18 is an example of the case where the signal of the driving information of another vehicle is not used,
When the oncoming vehicle has the driving information detecting means 80 and the transmitting means 90, it is also possible to receive a signal of driving information of another vehicle (oncoming vehicle) by inter-vehicle communication and determine the long-term driver characteristic. In this case, when the vehicle turns right, the receiving means 100 receives the avoidance situation detected by the driving information detecting means 80 of the oncoming vehicle. The received avoidance behavior of the oncoming vehicle is stored in the driving information storage means 40. Then, the long-term driver characteristics are determined based on the frequency of oncoming vehicle avoidance behaviors received during a predetermined period, and the urgent level (deceleration) of oncoming vehicle avoidance behaviors is scored and accumulated for a long time. Driver characteristics can also be determined.

Further, the above-mentioned step S407 (see FIG.
In the determination of the degree of momentary accidental encounter in 4), it is not only whether or not the oncoming vehicle has performed the avoidance action, but when the degree of urgency is high, that is, the avoidance action of the oncoming vehicle involves sudden braking and sudden steering. Only in the case of having occurred, it is possible to determine that the degree of momentary accidental encounter is high. As a result, it is possible to more accurately predict the degree of accidental accidental encounter in accordance with the driver's sense.

As described above, in the third embodiment of the present invention, the driving information of the oncoming vehicle when the vehicle turns right is received by the inter-vehicle communication. Based on the received information on the oncoming vehicle, it is determined whether or not the oncoming vehicle has performed an avoiding action such as sudden braking or sudden steering when the host vehicle makes a right turn. When the oncoming vehicle is caused to perform the avoidance action, it is presumed that the own vehicle has started the right turn with insufficient confirmation of the surroundings, or that the right turn start timing was inappropriate. Moreover, it is expected that the driver himself is not aware of this despite the high degree of accidental encounters. In such a situation, it is possible to call attention by transmitting the unexpected encounter degree to the driver immediately after predicting the unexpected encounter degree.

In addition, a long-term driver characteristic is determined, and from the viewpoint of whether or not there is a high possibility that the driver will encounter an unexpected situation in the future based on the long-term driver characteristic and the preset unexpected encounter prediction degree. Can objectively evaluate the driver's driving suitability.

In the third embodiment of the present invention, the degree of the momentary accidental encounter, which is determined based on the information on the avoidance operation of the oncoming vehicle by the inter-vehicle communication, for example, when the oncoming vehicle turns right, Depending on whether or not the avoidance behavior is performed, it is set whether to transmit the prediction result immediately after the prediction of the accidental encounter degree or to transmit the prediction result after a predetermined period. As a result, the driver can be alerted according to the degree of urgency (degree of unexpected encounter). When the driver needs attention, the prediction result is immediately transmitted, and when the driver is aware of driving with a high degree of accidental encounter, the prediction result is not transmitted immediately afterwards, thereby driving It is possible to transmit the prediction result that is more tailored to the driver's sensation without giving the driver any trouble.

<< Fourth Embodiment >> The configuration of a driver future situation prediction apparatus according to a fourth embodiment of the present invention is shown in FIG.
It is similar to the second embodiment shown in FIG. here,
Differences from the first to third embodiments will be mainly described.

The operation of the driver future situation prediction apparatus according to the fourth embodiment of the present invention will be described below with reference to FIGS. 19 and 20.

FIG. 19 shows a traveling scene (driving situation) in which the host vehicle enters an intersection without a traffic light. FIG. 20 is a flowchart showing a process of predicting the degree of accidental encounter of a driver in the traveling scene shown in FIG.

First, when the ignition switch is turned on in step S501, the driving information (vehicle state) is detected by the driving information detecting means 10 of the own vehicle in step S502.
The detection of is started. In addition, the driving information detection means 8 of the other vehicle
In 0, detection of driving information of another vehicle is started by turning on the ignition switch. The driving information detected by the driving information detecting means 10 is recorded in the driving information storing means 40 until the ignition switch is turned off (step S).
503). In step S504, it is determined whether the ignition switch has been turned off. Step S504
If it is determined that the ignition switch is not turned off, the process proceeds to step S505 in order to predict the degree of momentary accidental encounter in the momentary accidental encounter prediction means 20.

In step S505, the driving information detecting means 1
When it is detected by the driving environment detection means 14 of 0 that the own vehicle has performed the approaching behavior at the intersection as the predetermined driving situation, the process proceeds to step S506. Here, the predetermined driving situation is
19 shows the entrance of the own vehicle Ma into an intersection as shown in FIG. In step S506, it is determined whether or not the avoidance action (for example, sudden braking or sudden steering) of the intersecting vehicle Md is received by the inter-vehicle communication in association with the approaching action of the host vehicle Ma detected in step S505. Step S506
If the affirmative determination is made that the avoidance behavior of the intersecting vehicle Md is detected, the process proceeds to step S507. On the other hand, step S5
When a negative determination is made in 06, the process returns to step S504.

In step S507, the instantaneous accidental encounter prediction means 20 causes the intersecting vehicle to perform the avoidance action when the own vehicle enters the intersection, and predicts that the instantaneous accidental encounter degree is high. In step S508, the prediction result of step S507 is output to the transmission means 30, and in step S509, the prediction result of the instantaneous accidental encounter degree of the driver is provided to the driver by the display and the message in the transmission means 30. After that, the process returns to step S504.

The action of the vehicle entering the intersection in step S505 described above can be detected, for example, by image-processing an image in front of the vehicle captured by a CCD camera or the like to recognize the intersection. Alternatively, the intersection may be detected by the navigation device.

On the other hand, if it is determined in step S504 that the ignition switch is off, step S5
Go to 10. In step S510, the driving information storage means 4
If it is affirmatively determined that data has been accumulated in 0 for a predetermined period,
Proceeding to step S511, long-term driver characteristic judging means 5
The process at 0 is started. When a negative determination is made in step S510, the processes of steps S501 to S504 and step S510 are performed until data of a predetermined period is accumulated.

The processing procedure for determining the long-term driver characteristics in steps S511 to S514 and for predicting the future driver accidental encounter degree in steps S201 to S206 (FIG. 4) is the same as the above-described first procedure. Since it is the same as the embodiment, detailed description is omitted.

As described above, in the fourth embodiment of the present invention, the driving information of the intersecting vehicle when the own vehicle enters the intersection without a traffic light is received by the inter-vehicle communication. Based on the received information about the crossing vehicle, it is determined whether or not the crossing vehicle has performed an avoiding action such as a sudden braking or a steep steering when the own vehicle enters the intersection. In the case of causing the crossing vehicle to perform the avoidance action, it is presumed that the own vehicle has started entering the intersection with insufficient confirmation of the surroundings, or the timing of entering the intersection is inappropriate. Moreover, it is expected that the driver himself is not aware of this despite the high degree of accidental encounters. In such a situation, it is possible to call attention by transmitting the unexpected encounter degree to the driver immediately after predicting the unexpected encounter degree.

Further, similarly to the first embodiment described above, the long-term driver characteristic is determined, and from the long-term driver characteristic and the preset unexpected encounter prediction degree, the future driver becomes uncertain. It is possible to objectively evaluate the driver's driving suitability in terms of whether the possibility of encounter is high or low.

In the fourth embodiment of the present invention, the degree of the momentary accidental encounter degree determined based on the information on the avoidance operation of the crossing vehicle by the inter-vehicle communication, for example, whether or not the crossing vehicle has performed the avoidance action. Depending on whether to transmit the prediction result immediately after predicting the accidental encounter degree or to transmit the prediction result after a predetermined period. As a result, the urgency (degree of unexpected encounter)
The driver can be alerted accordingly. When the driver needs attention, the prediction result is immediately transmitted, and when the driver is aware of driving with a high degree of accidental encounter, the prediction result is not transmitted immediately afterwards, thereby driving It is possible to transmit the prediction result that is more tailored to the driver's sensation without giving the driver any trouble.

As described above, the driver future situation prediction apparatus according to the present invention uses the instantaneous unexpected encounter prediction means,
The degree of accidental encounter in a predetermined traveling condition is instantaneously predicted based on the traveling state of the own vehicle and the driver state of the own vehicle or the driving operation of the driver of another vehicle. As a result, it is possible to accurately predict a driving situation with a high degree of accidental encounter that requires the driver's attention, and transmit the prediction result to the driver when the degree of accidental encounter is high. As a result, the prediction result can be transmitted without causing the driver any trouble.

Further, in addition to the prediction of the momentary accidental encounter degree, information on the running state and running environment of the own vehicle is accumulated for a predetermined period, the long-term driver characteristic is determined based on the accumulated information, and driving is performed. Predicted the future accidental encounter rate of the person. Accordingly, the driving suitability of the driver can be objectively evaluated from the viewpoint of whether the driver is likely to encounter a bad situation in the future or low. Then, by transmitting the evaluation result to the driver, the deviation of the driver's recognition is corrected,
It is possible to promote driving improvement, and to maintain and improve safety awareness for a driver who is trying to drive safely. If you want to convey the prediction result of the unexpected encounter degree to the manager, coach the driver,
It can be used as reference information such as arrangement. Further, when the prediction result is transmitted to a third party, such as an insurance company, it can be used as a guide for setting the insurance rate.

Further, when predicting the accidental encounter degree, the driving information of the other vehicle received by the inter-vehicle communication is used to perform the avoidance action on the other vehicle in the driving situation such as the own vehicle entering the intersection or turning right. It is possible to predict the degree of accidental encounter depending on the actual situation, such as whether or not to let them. Also,
Since the predicted accident encounter degree is transmitted to the driver according to the degree of the accident encounter, it is possible to call the driver's attention.

In the above-described first to fourth embodiments, the transmission means 30 transmits the prediction result of the instantaneous accidental encounter prediction means 20 to the driver, and the driver accidental encounter prediction means 6
The prediction result of 0 is transmitted to the driver, the manager, or a third party depending on the degree of unexpected encounter. That is, since the prediction result is transmitted to the driver only when the predicted accident encounter degree is high, it is possible to reduce the annoyance of the driver due to the frequent transmission of the prediction result. However, the driver future situation prediction device according to the present invention is not limited to this. For example, the prediction results of the instantaneous accidental encounter prediction means 20 and the driver accidental encounter prediction means 60 may be transmitted to the driver, the manager, and the third party, respectively. Further, when the accidental encounter degree predicted by the driver's accidental encounter prediction means 60 is higher than the average, it is transmitted to each of the driver, the manager, and the third party, and the predicted accidental encounter degree is lower than the average. In this case, it may be transmitted only to the manager or a third party.

In the above-described embodiment, the driving information detected by the driving information detecting means 10 is sent to the instantaneous accidental encounter prediction means 20 and also to the driving information storage means 40 to be stored for a predetermined period. However, the driver future situation prediction device according to the present invention is not limited to this. For example, the driving information detected by the driving information detecting means 10 may be temporarily accumulated by the driving information accumulating means 40 and then sent to the instantaneous unexpected encounter encounter predicting means 20 to predict the instantaneous unexpected encounter degree. . Further, the transmission means 30 for transmitting the unexpected encounter degree is not limited to the display monitor,
A warning may be generated according to the degree of unexpected encounter.

In the above embodiment, the driving of the other vehicle including the operation state of the driver of the other vehicle transmitted from the driver information detecting means 12 of the own vehicle and the driving information detecting means 80 mounted on the other vehicle. The receiving means 100 for receiving information,
Corresponds to the driver information detection means.

[Brief description of drawings]

FIG. 1 is a diagram showing a basic configuration of a driver future situation prediction device according to a first embodiment of the present invention.

FIG. 2 is a diagram showing a driving scene passing through a stop intersection without a traffic light.

FIG. 3 is a flowchart showing a processing procedure in the driver future situation prediction device according to the first embodiment of the present invention.

FIG. 4 is a flowchart showing a processing procedure in the driver future situation prediction device according to the first embodiment of the present invention.

FIG. 5 is a diagram showing a process of predicting an accidental encounter degree with an intersecting vehicle at an intersection according to the first embodiment.

6A and 6B are views for explaining a method of calculating an integrated value P of vehicle speed scores at the time of entering a stop intersection.

7 (a) and 7 (b) are diagrams showing driver characteristics when a temporary stop intersection is entered.

FIG. 8 is a diagram showing a relationship between a driver characteristic at the time of entering a stop intersection and a degree of unexpected encounter with a crossing vehicle.

FIG. 9 is a diagram showing a prediction result of an accidental encounter degree with an intersecting vehicle at a stop intersection.

FIG. 10 is a diagram showing a basic configuration of a driver future situation prediction device according to a second embodiment.

FIG. 11 is a diagram showing a driving scene in which the own vehicle changes lanes.

FIG. 12 is a flowchart showing a processing procedure in the driver future situation prediction device according to the second embodiment.

FIG. 13 is a diagram showing a driving scene in which the vehicle makes a right turn.

FIG. 14 is a flowchart showing a processing procedure in the driver future situation prediction device according to the third embodiment.

FIG. 15 is a map diagram showing a process of predicting an unexpected encounter when turning right.

FIG. 16 is a diagram showing a relationship between a driver characteristic at the time of a right turn and an unexpected encounter prediction degree with an oncoming straight vehicle.

FIG. 17 is a diagram showing a relationship between a driver characteristic at the time of a right turn and an unexpected encounter prediction degree of an oncoming straight vehicle.

FIG. 18 is a diagram showing a relationship between a driver characteristic at the time of a right turn and a predictive degree of accidental encounter with a pedestrian.

FIG. 19 is a diagram showing a driving scene of entering a stop intersection.

FIG. 20 is a flowchart showing a processing procedure in the driver future situation prediction device according to the fourth embodiment.

[Explanation of symbols]

10, 80: Driving information detecting means 11: Driving information detecting means 12: Driver status detecting means 13: Vehicle state detecting means 14: Driving environment detection means 20: Instant unexpected encounter prediction means 30: Transmission means 40: Driving information storage means 50: Long-term driver characteristic prediction means 60: Driver unexpected encounter prediction means 70: Unexpected encounter prediction degree storage means 90: Transmission means 100: Receiving means

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Claims (8)

[Claims] 1. A vehicle state detecting means for detecting a traveling state of the own vehicle, a traveling information detecting means having at least one of traveling environment detecting means for detecting a traveling environment, a state of a driver of the own vehicle, or others. A driver information detecting unit that detects a driving operation of a driver of the vehicle, and a degree of unexpected encounter of the driver in a predetermined driving situation based on the information detected by the traveling information detecting unit and the driver information detecting unit. Instantaneous accidental encounter prediction means for instantaneously predicting and outputting a prediction result according to the predicted accident encounter degree, driving information accumulating means for accumulating information detected by the traveling information detecting means, and the driving information accumulating means From the information accumulated in the long-term driver characteristic judging means for judging the characteristics of the driver, the driver characteristics judged by the long-term driver characteristic judging means, and preset accidental encounter prediction Based on the door,
A driver's accidental encounter prediction means for predicting a future accidental encounter degree of a driver, and a prediction result of the instantaneous accidental encounter prediction means and the driver's accidental encounter prediction means is transmitted to a driver, a manager, or a third party. A driver future situation prediction device comprising: a transmission means. 2. The driver future situation predicting device according to claim 1, wherein the transmitting unit transmits the prediction result of the instantaneous accidental encounter prediction unit to the driver, and predicts the driver accidental encounter prediction unit. A driver future situation prediction device characterized by transmitting a result to a manager or a third party. 3. The driver future situation predicting device according to claim 1, wherein the momentary unexpected encounter predicting means is configured to detect the predetermined driving situation when the traveling information detecting means detects a predetermined driving situation. It is determined whether or not the driver of the vehicle is intentionally driven based on the state of the driver of the vehicle detected by the driver information detecting means, and the accidental encounter degree is predicted based on the determination result. A driver future situation prediction device characterized by: 4. The driver future situation predicting apparatus according to claim 3, wherein the traveling information detecting means detects an intersection of temporary stop restrictions by the traveling environment detecting means, and the vehicle state detecting means temporarily detects the intersection. Detecting a deceleration operation of the own vehicle at the time of entering a stop-restricted intersection, the driver information detecting means detects a gaze operation of the driver of the own vehicle at the time of entering a stop-restricted intersection, and the momentary accident The encounter predicting means detects the driver's information detecting means when the traveling environment detecting means detects an intersection for which suspension control is required and the vehicle state detecting means does not detect a deceleration operation of the host vehicle at the time of entering the intersection. Based on the detection result of the driving, it is determined whether or not the driving at the intersection is intentional, and based on the result of the determination, the degree of accidental encounter of the driver is predicted. Future situation prediction apparatus. 5. The driver future situation predicting device according to claim 1, wherein the driver information detecting means includes a receiving means for receiving information regarding a driving operation of a driver of the other vehicle from outside the vehicle. Having the instantaneous unexpected encounter predicting means, based on the information regarding the driving operation of the driver of the other vehicle received by the receiving means when a predetermined driving situation is detected by the traveling information detecting means. A driver future situation prediction device characterized by determining whether or not the driver of the other vehicle has performed a driving operation for avoiding an unexpected situation, and predicting the accidental encounter degree of the driver based on the determination result. . 6. The driver future situation predicting device according to claim 5, wherein the traveling information detecting means detects the lane change behavior of the own vehicle by the vehicle state detecting means or the traveling environment detecting means, The receiving means detects information regarding a driving operation of a driver of a vehicle on the side or the rear of the own vehicle, and the instantaneous unexpected encounter prediction means detects the lane change behavior of the own vehicle by the traveling information detecting means. When the lane of the own vehicle is changed, the following is received by the receiving means based on the information on the sudden braking or the sudden operation of the side vehicle received by the receiving means or after the lane change of the own vehicle. It is determined whether or not the driver of the side vehicle or the following vehicle has performed an avoidance driving operation based on information on sudden braking or sudden operation of the vehicle, and based on the determination result. There are driver future situation prediction apparatus characterized by predicting the accidental encounter of. 7. The driver future situation predicting device according to claim 5, wherein the traveling information detecting means detects a right turn action of the own vehicle by the vehicle state detecting means or the traveling environment detecting means, The means detects information regarding the driving operation of the driver of the oncoming vehicle when the vehicle turns right, and the momentary unexpected encounter predicting means detects a right-turn action of the vehicle by the traveling information detection means. On the basis of the information on the sudden braking or sudden operation of the oncoming vehicle received by the receiving means when the vehicle turns right, it is determined whether or not the driver of the oncoming vehicle has performed an avoidance driving operation. A driver future situation prediction device characterized by predicting an accidental encounter degree based on a determination result. 8. The driver future situation predicting apparatus according to claim 5, wherein the traveling information detecting means detects an intersection by the traveling environment detecting means, and the vehicle state detecting means detects an intersection of the own vehicle. Detecting the approaching behavior of the vehicle, the receiving unit detects information about the driving operation of the driver of the intersecting vehicle traveling in a direction intersecting the traveling direction of the vehicle when the vehicle enters the intersection, The accidental encounter predicting means receives the signal when the vehicle enters the intersection when the traveling environment detecting means detects the intersection and the vehicle state detecting means detects the entry behavior of the vehicle into the intersection. On the basis of the information on the sudden braking or the sudden operation of the intersecting vehicle received by the means, it is determined whether or not the driver of the intersecting vehicle has performed the avoidance driving operation, and the determination is made. Driver future situation prediction apparatus characterized by predicting the accidental encounter level based on the results.