JP2012022402A - Difficult driving environment determination device and driving support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technology that can determine a driving weak point of a vehicle driver in accordance with driving environment.SOLUTION: A driving support device 1 comprises: a driving environment determination unit 11 for determining a driving environment of a vehicle; behavior detection sensors 2 for obtaining behavior data showing vehicle behaviors (vehicle speed V, forward and backward acceleration G1, and horizontal acceleration G2); a driving behavior determination data creation unit 12 for classifying and storing the obtained behavior data for each driving environment determined by the driving environment determination unit 11 to create driving behavior determination data; and a difficult driving environment determination unit 14 for determining a driving environment in which a vehicle driver has difficulty, based on the classified and stored behavior data (driving behavior determination data) for each driving environment. Accordingly, the driving support device 1 can identify the driving environment in which the vehicle driver has difficulty and offer appropriate driving support in such a driving environment.

Description

  The present invention relates to an apparatus used for driving assistance of a driver.

2. Description of the Related Art In recent years, various studies have been conducted on a system that estimates a driving environment of a vehicle and a driving situation of a vehicle driver and performs driving assistance according to the driving environment and the driving situation.
For example, based on the road traffic situation obtained based on the vehicle running state parameter and the physical quantity representing the vehicle driving state, the vehicle driving operation state by the driver is estimated, and the vehicle control adapted to the estimated vehicle driving operation state is performed. A technique to be executed has been proposed (see, for example, Patent Document 1). As a result, it becomes possible to drive the vehicle in accordance with a comprehensive driving state including the road traffic situation and the vehicle driving operation state.

Japanese Patent No. 3357159

  However, the technology described in Patent Document 1 recognizes the vehicle driving operation state estimated according to the road traffic situation as the preference of the vehicle driver in the road traffic situation, and performs driving support suitable for the vehicle driving operation state. To do. For this reason, when a vehicle driver is not good at a certain road traffic situation, there is a possibility that appropriate driving support cannot be executed in this road traffic situation.

  The present invention has been made in view of these problems, and an object of the present invention is to provide a technique capable of determining a vehicle driver's weak driving awareness according to the driving environment.

  In the poor driving environment determination device according to claim 1, the environment determination unit determines a driving environment of the vehicle, and the behavior data acquisition unit acquires behavior data representing the behavior of the vehicle. To do.

  Then, the behavior data accumulating means classifies and accumulates the behavior data acquired by the behavior data acquiring means for each driving environment determined by the environment determining means, and the first poor driving environment determining means for each driving environment. Based on the behavior data classified and accumulated, the driving environment in which the driver is not good at driving is determined.

  According to the poor driving environment determination device configured as described above, it is possible to determine a driving environment in which the driver is not good at driving based on behavior data classified and accumulated for each driving environment. As a result, it is possible to identify a driving environment in which the driver is not good at driving and to provide appropriate driving assistance in a driving environment in which the driver is not good.

  In the poor driving environment determination device according to claim 1, as described in claim 2, the first poor driving environment determination unit classifies the behavior data accumulated and classified for each driving environment. For each driving environment, the driving environment corresponding to the behavior data determined to have a large variation based on a predetermined variation determination condition is a driving environment in which the driver is not good at driving. Judgment should be made.

This is because in a driving environment where the variation in behavior data is large, the driving behavior is not stable and it is considered that the driver is not good at driving.
Note that, as the above-described variation determination condition, for example, when the variation in behavior data in a certain driving environment is larger than the variation in behavior data in another driving environment, Is determined to have a weak feeling.

  Next, a driving support device according to claim 3 is provided with the poor driving environment determination device according to claim 1 or 2, wherein the support execution means has a driver's weak awareness in the poor driving environment determination device. Driving assistance is executed in the driving environment that is determined to be.

  According to the driving support device configured as described above, since the driving environment in which the driver is not good at driving is specified, the driving support is performed accurately in the driving environment in which the driver is not good at driving. can do.

  And in the driving assistance apparatus of Claim 3, as described in Claim 4, the assistance execution means is the behavior in the driving environment determined that the driver is not good at the weak driving environment determination apparatus. It is advisable to execute driving assistance to reduce the variation in data. This is because in a driving environment where the variation in behavior data is large, the driving behavior is not stable and it is considered that the driver is not good at driving.

  Next, in the poor driving environment determination device according to the fifth aspect, the environment determination unit determines the driving environment of the vehicle, and the biometric data acquisition unit acquires the driver biometric data representing the driver's biometric information.

  The biometric data storage means classifies and accumulates the driver biometric data acquired by the biometric data acquisition means for each driving environment determined by the environment determination means, and the second weak driving environment determination means further determines the driving environment. The driving environment in which the driver is not good at driving is determined based on the driver biometric data classified and stored for each.

  The biometric information includes the amount of sweating of the palm, the gripping force of the steering, and the electromyogram of the shoulder. For example, when the change in the driver biometric data is severe compared to other driving environments, it may be determined that the driver is not good at driving.

  According to the poor driving environment determination device configured as described above, it is possible to determine the driving environment in which the driver is not good on the basis of the driver biometric data classified and accumulated for each driving environment. it can. As a result, it is possible to identify a driving environment in which the driver is not good at driving and to provide appropriate driving assistance in a driving environment in which the driver is not good.

It is a block diagram which shows the whole structure of the driving assistance device 1 of 1st Embodiment. It is a figure which shows the scatter diagram J1, J2 of the general road, a highway, and a mountain road about three drivers | drivers 1,2,3. It is a block diagram which shows the whole structure of the driving assistance device 1 of 2nd Embodiment.

(First embodiment)
A first embodiment of the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram showing the overall configuration of the driving support apparatus 1 of the first embodiment.

  The driving support device 1 is mounted on a vehicle and, as shown in FIG. 1, a behavior detection sensor group 2 that detects the behavior of the vehicle, an operation detection sensor group 3 that detects a driving operation by a driver, map data, VICS, and the like. Executes route setting, route guidance, etc. based on various information acquired from outside the vehicle by the navigation device 4 that provides a part of information used for those processing to other in-vehicle devices, and identifies the driver Based on various information acquired from the driver identification device 5 that provides the identification information ID representing the identification result to other in-vehicle devices, the behavior detection sensor group 2, the operation detection sensor group 3, the navigation device 4, and the driver identification device 5, Driving assistance based on the poor driving environment determination device 6 for determining a driving environment in which the driver is not good at driving and the determination result of the poor driving environment determination device 6 Select the contents and a support content selection device 7 for execution.

  Among them, the behavior detection sensor group 2 includes a vehicle speed sensor 21 that detects a vehicle speed (own vehicle speed) V of the host vehicle, an acceleration sensor 22 that detects an acceleration G1 in the longitudinal direction of the vehicle, and an acceleration G2 in the lateral direction of the vehicle. At least a yaw rate sensor 23 to be detected is included.

  The operation detection sensor group 3 includes at least a steering angle sensor 31 that detects a steering operation amount (steering angle) S and a brake operation amount sensor 32 that detects a brake operation amount (stepping force) B. .

  The information provided by the navigation device 4 includes at least weather information W acquired by VICS, time zone information TB indicating the current time zone, map information acquired from a map storage medium in which road map data and various information are recorded. M is included.

  For example, the driver identification device 5 may accept an input from the driver, or may automatically identify the driver by an image recognition process for an image obtained by photographing the driver's face or the like.

  The poor driving environment determination device 6 uses the driving environment determination unit 11 that determines the driving environment (the driving environment of the road on which the vehicle is traveling), the determination result of the driving environment determination unit 11, and the detection result of the behavior detection sensor group 2. Driving behavior determination data creation unit 12 that creates behavior determination data (described later), data storage unit 13 that stores reference data for comparison with driving behavior determination data, and driving behavior determination data and reference data A poor driving environment determination unit 14 for determining a driving environment having a weak feeling of being weak.

  The poor driving environment determination device 6 is configured around a well-known microcomputer including a CPU and a memory (ROM, RAM, etc.), and the data storage unit 13 includes a partial area set on the memory. The other units 11, 12, and 14 are realized by processing executed by the CPU.

  First, in the driving environment determination unit 11, based on the vehicle speed V, the steering operation amount S, the brake operation amount B, the weather information W, the time zone information TB, and the map information M, the road type (general road, highway, mountain road, etc.) , Determine weather (clear weather, rainy weather, etc.) and time zone (day, night, etc.).

  In addition, the driving behavior determination data creation unit 12 inputs the determination result of the driving environment determination unit 11, the detection result of the behavior detection sensor group 2, and the identification information ID, and the vehicle speed for each driving environment as the driving behavior determination data. A scatter diagram J1 using V and the longitudinal acceleration G1 as parameters and a scatter diagram J2 using the vehicle speed V and the lateral acceleration G2 as parameters are created for each driver specified by the identification information ID.

  For example, scatter charts J1 and J2 are created for each of general roads, expressways, and mountain roads, scatter charts J1 and J2 are created for clear weather and rainy weather, and scatter charts J1 and J2 are created for day and night respectively. create. The scatter diagrams J1 and J2 for each driving environment are provided for each driver specified by the identification information ID.

Further, the data storage unit 13 stores scatter diagrams J1 and J2 (hereinafter referred to as normative scatter diagrams SJ1 and SJ2) that are norms for each of the operating environments as the reference data.
The poor driving environment determination unit 14 determines the driver's weak driving awareness by the following two methods.

  The first method is to specify the identification information ID when there is an operating environment in which there is a large variation in data compared to other operating environments in a plurality of scatter diagrams J1 and J2 having the same identification information ID. The determined driver is determined to have a weak awareness about this driving environment (that is, a driving environment having a large variation in data).

  FIG. 2 is a diagram showing scatter diagrams J1 and J2 on general roads and highways and scatter diagrams J1 and J2 on mountain roads for three drivers 1, 2, and 3 having different identification information IDs. It is.

  As shown in FIG. 2, the driver 1 compares the driving on the general road and the highway with the driving on the mountain road, and there is no great difference in the variation in the longitudinal acceleration G1 and the lateral acceleration G2. On the other hand, the drivers 2 and 3 compare the driving on the general road and the highway with the driving on the mountain road, while the variation in the longitudinal acceleration G1 is not greatly different, while the driving in the lateral acceleration G2 There is a big difference in variation.

  Actually, the driver 1 is driving extremely smoothly on the mountain road, while the drivers 2 and 3 are not good at driving on the mountain road because the brake / accelerator and steering operations are intense. I am aware of this. That is, when the variation in the lateral acceleration G2 is large, it can be determined that the driving on the mountain road is not good.

  In the second method, the scatter diagrams J1 and J2 for each driving environment created by the driving behavior determination data creation unit 12 are compared with the norm scatter diagrams SJ1 and SJ2 corresponding to the driving environment, and the norm scatter diagram is displayed. When the difference between SJ1 and SJ2 is large (for example, when the parameter value indicating the magnitude of the difference is greater than or equal to a preset weakness determination threshold value), this driving environment (that is, the difference from the norm scatter diagram) It is determined that the driver has a weak feeling about a large driving environment.

  Next, the support content selection device 7 provides support for reducing variations in the acceleration of the scatter diagrams J1 and J2 according to the driving environment determined by the driving environment determination unit 14 that is not good at driving. Do. For example, when it is determined that driving on a mountain road is not good, control is performed to decelerate the vehicle immediately before the curve, or support is given to instruct the steering timing for the curve to be performed earlier. Thus, the lateral acceleration G2 can be reduced and the driving on the mountain road can be made smooth.

  In the driving support device 1 configured as described above, the driving environment determination unit 11 determines the driving environment of the vehicle, and the behavior detection sensor group 2 includes behavior data (vehicle speed V, longitudinal acceleration G1, The lateral acceleration G2) is acquired.

  Then, the driving behavior determination data creation unit 12 classifies and accumulates the acquired behavior data for each driving environment determined by the driving environment determination unit 11, and creates driving behavior determination data (scatter diagrams J1, J2). . Furthermore, the poor driving environment determination unit 14 determines a driving environment in which the driver is not good at driving based on behavior data (driving behavior determination data) classified and accumulated for each driving environment.

  According to the driving support device 1 configured as described above, it is possible to specify a driving environment in which the driver is not good at driving, and to provide appropriate driving support in a driving environment in which the driver is not good. .

  Then, the assistance content selection device 7 performs driving assistance in the driving environment in which it is determined that the driver is not good at driving. Thus, accurate driving support can be executed in a driving environment in which the driver is not good at driving.

  In the embodiment described above, the driving environment determination unit 11 is the environment determination unit in the present invention, the behavior detection sensor group 2 is the behavior data acquisition unit in the present invention, and the driving behavior determination data creation unit 12 is the behavior data storage unit in the present invention. The poor driving environment determination unit 14 is a first poor driving environment determination unit in the present invention, and the support content selection device 7 is a support execution unit in the present invention.

(Second Embodiment)
The second embodiment of the present invention will be described below. In the second embodiment, only parts different from the first embodiment will be described.

FIG. 3 is a block diagram illustrating an overall configuration of the driving support apparatus 1 according to the second embodiment.
The driving support device 1 according to the second embodiment is provided with a perspiration amount sensor 24 for detecting the perspiration amount of the palm instead of the acceleration sensor 22 and the yaw rate sensor 23, and the driving behavior determination data creation of the poor driving environment determination device 6 It is the same as that of 1st Embodiment except the point to which the part 12, the weak driving environment determination part 14, and the assistance content selection apparatus 7 were changed.

  That is, in the driving behavior determination data creation unit 12, a diagram showing a temporal change in the sweating amount (hereinafter referred to as a sweating amount time change diagram J3) based on the detection result of the sweating amount sensor 24 is used as the driving behavior determination data. Created instead of the scatter diagrams J1 and J2 of the first embodiment.

  In addition, the poor driving environment determination unit 14 has a greater change in the amount of sweat compared to the other driving environments in the plurality of sweat amount time change diagrams J3 having the same identification information ID (that is, a large amount of sweat). When there is a driving environment in which changes frequently occur), the driver specified by the identification information ID has a weak awareness about this driving environment (that is, a driving environment in which the amount of change in sweating is large). judge.

  Further, the support content selection device 7 supports to prevent frequent frequent changes in the amount of sweating according to the driving environment determined by the poor driving environment determination unit 14 when the driver is not good at driving. I do. The specific method of support is the same as in the first embodiment.

  In the driving support apparatus 1 configured as described above, the driving environment determination unit 11 determines the driving environment of the vehicle, and the sweating amount sensor 24 provides driver biological data (palm sweating amount) representing the driver's biological information. To get.

  Then, the driving behavior determination data creation unit 12 classifies and accumulates the acquired driver biometric data for each driving environment determined by the driving environment determination unit 11 and accumulates the driving behavior determination data (sweat amount time variation diagram J3). Create Further, the poor driving environment determination unit 14 determines a driving environment in which the driver is not good at driving based on driver biometric data (driving behavior determination data) classified and accumulated for each driving environment.

  According to the driving support device 1 configured as described above, it is possible to specify a driving environment in which the driver is not good at driving, and to provide appropriate driving support in a driving environment in which the driver is not good. .

  In the embodiment described above, the sweating amount sensor 24 is the biological data acquisition means in the present invention, the driving behavior determination data creation unit 12 is the biological data storage means in the present invention, and the poor driving environment determination unit 14 is the second weak driving in the present invention. It is an environmental judgment means.

As mentioned above, although one Example of this invention was described, this invention is not limited to the said Example, As long as it belongs to the technical scope of this invention, a various form can be taken.
For example, in the first embodiment, the driving environment in which the driver is not good at driving on general roads and highways and driving on mountain roads is shown. However, the present invention is not limited to this. For example, it may be determined whether or not the driver is not good at driving environments such as rainy weather and night roads.

  Further, in the first embodiment, what is determined to be weak in driving environments where data variation is large compared to other driving environments is shown. However, when there is a change in the variation over time, a change in the variation of the day, or a variation within a short period of time compared to the driver's past data, You may make it judge temporarily that weak consciousness changed.

  Moreover, in the said 2nd Embodiment, what determines with having a weak consciousness in the driving | running environment in which the change of the amount of perspiration was severe compared with the other driving | running environment was shown. However, if there are changes over time, changes in the day, or changes within a short period of time compared to the driver's past biometric information, they are not good at You may make it judge that consciousness changed.

  In the second embodiment, the amount of perspiration is used as biometric information. However, the present invention is not limited to this. For example, an electromyogram such as a gripping force of a steering wheel or a shoulder may be used. Good.

  DESCRIPTION OF SYMBOLS 1 ... Driving assistance device, 2 ... Behavior detection sensor group, 3 ... Operation detection sensor group, 4 ... Navigation device, 5 ... Driver identification device, 6 ... Poor driving environment judgment device, 7 ... Support content selection device, 11 ... Driving environment Determining unit, 12 ... Driving behavior determination data creating unit, 13 ... Data storage unit, 14 ... Not good driving environment determining unit, 21 ... Vehicle speed sensor, 22 ... Acceleration sensor, 23 ... Yaw rate sensor, 24 ... Sweating amount sensor, 31 ... Steering Angle sensor, 32 ... Brake operation amount sensor

Claims (5)

An environment determination means for determining a driving environment of the vehicle;
Behavior data acquisition means for acquiring behavior data representing the behavior of the vehicle;
Behavior data storage means for classifying and storing the behavior data acquired by the behavior data acquisition means for each of the driving environments determined by the environment determination means;
First weak driving environment determining means for determining a driving environment in which the driver is not good at driving based on the behavior data classified and accumulated for each driving environment; Environmental judgment device. The first poor driving environment determination means includes:
Calculate the magnitude of variation in the behavior data accumulated by classification for each driving environment for each driving environment,
Determining, based on preset variation determination conditions, that the driving environment corresponding to the behavior data determined to have a large variation is a driving environment in which the driver is not good at driving. The poor driving environment determination device according to claim 1, wherein the driving environment determination device is poor. The poor driving environment determination device according to claim 1 or 2,
A driving support apparatus, comprising: a support execution unit that performs driving support in a driving environment in which the driver determines that the driver is not good at driving. The support execution means includes
The driving support for reducing the variation of the behavior data in the driving environment determined that the driver is not good at the weak driving environment determination device is performed. Driving assistance device. An environment determination means for determining a driving environment of the vehicle;
Biometric data acquisition means for acquiring driver biometric data representing the biometric information of the driver;
Biometric data storage means for classifying and storing the driver biometric data acquired by the biometric data acquisition means for each of the driving environments determined by the environment determination means;
And second driving environment determination means for determining a driving environment in which the driver is not good at driving based on the driver biometric data classified and accumulated for each driving environment. A poor driving environment determination device.