JP2016215658A - Automatic driving device and automatic driving system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an automatic driving device and automatic driving system capable of controlling automatic driving in accordance with the driving skill and proficiency of a driver.SOLUTION: The automatic driving device executes an automatic driving control program 300 for controlling the automatic driving of an own vehicle. The automatic driving control program 300 includes a driving technique information preparation part 320 for generating driving technique information of an identified driver, a driving technique information analysis part 330 for analyzing the driving technique information, a parameter determination part 340 for determining a parameter for controlling automatic driving on the basis of an analysis result of the driving technique information, and an automatic driving control part 350 for controlling automatic driving according to the determined parameter.SELECTED DRAWING: Figure 5

Description

  The present invention relates to automatic driving control of a vehicle, and more particularly to automatic driving control according to the driving skill of a driver.

  Various technologies are being developed for the coming of the age of autonomous driving. Although there are various contents regarding the timing of achievement of full automation and automatic driving, automatic driving control on highways is shifting from the conception stage to the realization stage. In the practical application of automatic driving technology, it is necessary to solve problems and problems that were not considered in manual driving.

  Patent Document 1 discloses a travel control plan generation device that can generate a travel control plan that takes into account the driving preference of a driver. Furthermore, a technique for learning the driver's driving preference at the time of manual driving and obtaining the priority of the driving preference is also disclosed. Patent Document 2 discloses a semi-automatic driving system that predicts the driving state of a vehicle when the semi-automatic driving of the vehicle is stopped, and notifies that semi-automatic driving has been stopped by gradually switching the notification method. ing.

JP 2008-180591 A JP 2001-023094 A

  In manual driving, the driver controls traveling speed, gear change, traveling lane, distance between vehicles, and the like according to his / her driving skill level. However, when the automatic driving system is put into practical use, when the system limit is reached due to changes in the operating environment or sudden system failure, it is assumed that automatic driving control will be canceled and handed over to manual driving. In other words, a situation occurs in which driving must be taken over in a driving state exceeding the skill level of the driver. For example, on an expressway such as an autobahn, the automatic driving control is canceled due to an unexpected factor (for example, the front trailer rolls over) at the moment when the lane is moved to overtake the preceding vehicle and the speed is 200 km / h. And a driving beginner who has never driven at a speed of 200 km / h must take over driving from the situation.

  The present invention solves such a conventional problem, and an object thereof is to provide an automatic driving apparatus and an automatic driving system capable of controlling automatic driving according to the driving skill or skill level of the driver.

  An automatic driving apparatus according to the present invention includes an acquisition unit that acquires driving technology information related to a driver's driving technology, an analysis unit that analyzes driving technology information acquired by the acquiring unit, and an automatic unit that controls automatic driving of a vehicle. The automatic operation control means determines a parameter for controlling automatic operation based on the analysis result of the analysis means.

  Preferably, the parameter is an upper limit speed of the vehicle, and the automatic operation control means determines an upper limit value of the speed analyzed by the analysis means as the upper limit speed of the parameter. Preferably, the parameter is an inter-vehicle distance from a preceding vehicle, and the automatic driving control means determines the inter-vehicle distance analyzed by the analyzing means as the inter-vehicle distance of the parameter. Preferably, the parameter is a lane in which the vehicle travels, and the automatic operation control means determines the travel lane analyzed by the analysis means as the travel lane of the parameter. Preferably, the driving technology information includes travel history information related to a travel history of the vehicle. Preferably, the driving technique information includes biological information including at least one of a driver's sweat amount, a heartbeat, and a line of sight, and the analysis unit analyzes the driving technique information based on the biological information. Preferably, the analysis means analyzes the driving technique information based on information obtained from the navigation means. Preferably, the automatic driving apparatus further includes identification means for identifying the driver, and the acquisition means acquires the driving technique information of the driver identified by the identification means.

  An automatic driving system according to the present invention includes an automatic driving device having the above-described configuration and a distribution device connected to the automatic driving device via a network, and the automatic driving device transmits the driving technical information to the distribution device. The distribution apparatus includes: a storage unit that stores the driving technique information acquired from the acquiring unit; an analyzing unit that analyzes the driving technique information; Second transmitting means for transmitting the analysis information to the automatic driving device. Preferably, the first transmission unit further transmits driver information identified by the identification unit to the distribution device, the storage unit stores driving technology information for each driver, and the analysis unit includes: The driving technology information of the identified driver is analyzed, and the second transmission means transmits the identified driver analysis information to the automatic driving device.

  According to the present invention, since the driving technology information at the time of manual driving is acquired and the automatic driving can be controlled based on the analysis result of the driving technology of the driver, the automatic driving is switched to the manual driving due to a sudden factor or the like. However, the driver can take over according to his / her driving skill.

It is a figure which shows an example of the automatic driving | running system which concerns on the Example of this invention. It is a block diagram which shows the structural example of the automatic driving apparatus which concerns on the Example of this invention. It is a block diagram which shows the structural example of the driver | operator detection part of a present Example. It is a block diagram which shows the structural example of the own vehicle information detection part of a present Example. It is a block diagram which shows the structural example of the biometric information detection part of a present Example. It is a figure which shows the functional structural example of the own vehicle driving control program of a present Example. It is a figure explaining an example of the driving | running technology information of a present Example. It is a figure explaining an example of the analysis result of each driver | operator's driving skill information shown in FIG. It is a figure which shows the operation | movement flow of the automatic driving control which concerns on the Example of this invention. It is a figure which shows the analysis flow of the driving | running technology information which concerns on 3rd Example of this invention.

  Next, embodiments of the present invention will be described in detail with reference to the drawings. In a preferred aspect of the present invention, the automatic driving device can be an electronic device mounted in a moving body such as a vehicle. In a preferred embodiment, the automatic driving device includes a function for controlling the automatic driving of the vehicle. The automatic driving device is based on an imaging camera, various sensors, vehicle driving information, and the like. Recognize lanes, etc., and control vehicle steering, speed, brakes, etc. Further, the automatic driving device can include a navigation function, and can realize automatic driving control in combination with the navigation function. Furthermore, the automatic driving device has a function of communicating with an external server or the like via a network, and can obtain information necessary for automatic driving control from the external server.

  FIG. 1 is a diagram illustrating an example of an automatic driving system according to an embodiment of the present invention. In one aspect, the automatic driving system 10 includes a host vehicle 20 and a data analysis distribution site 30 that provides information necessary for the host vehicle 20 to drive automatically. The own vehicle 20 includes a function of communicating with the data analysis / distribution site 30 via the network NW. The own vehicle 20 includes driving technology information (including a driving history) obtained during driving of the own vehicle and biological information of the driver. Can be provided to the data analysis distribution site 30. The data analysis distribution site 30 can analyze the provided driving technology information and biological information, analyze the driver's skill level and driving technology, and provide the analysis result to the vehicle 20. The own vehicle 20 can control the automatic driving using the analyzed information. In another aspect, the automatic driving system 10 can obtain real-time road traffic information from the traffic information distribution site 40, and information necessary for automatic driving is complemented by the road traffic information.

  In the automatic driving system 10 illustrated here, the own vehicle 20 uses information from the data analysis distribution site 30, but not limited to this, the own vehicle 20 does not use the data analysis distribution site 30, It is also possible to perform automatic operation control in a self-contained manner. In this case, the host vehicle 20 includes a function equivalent to the function performed by the data analysis wiring site 30.

  FIG. 1A is a block diagram illustrating a configuration example of an automatic driving device mounted on the host vehicle 20. The automatic driving apparatus 100 according to the present embodiment includes an input unit 110, a navigation unit 120, an image / sound output unit 130, an imaging unit 140, a storage unit 150, a driver detection unit 160, a host vehicle information detection unit 170, and biological information detection. Unit 180, communication unit 190, automatic driving execution unit 200, and control unit 210.

  The input unit 110 receives an instruction from the user through an input key device, a voice input recognition device, a touch panel, and the like, and provides this to the control unit 210. The navigation unit 120 calculates the current location of the host vehicle based on the GPS signal transmitted from the GPS satellite, the sensor output of the gyro sensor or acceleration sensor mounted on the vehicle, and guides the route to the destination, Display nearby road maps. For example, the image / audio output unit 130 displays a road map on a liquid crystal display or the like, and outputs audio from a speaker or the like. The imaging unit 140 takes an image of the periphery of the vehicle with an imaging camera, and provides the imaging data to the control unit 210. Although the number of imaging cameras is not particularly limited, for example, the front, rear, and left and right sides of the host vehicle are imaged. The imaging data is used, for example, for automatic driving control of the host vehicle, the steering is controlled so that the host vehicle travels in the white line extracted from the imaging data, and a certain inter-vehicle distance is maintained between the preceding vehicle and the preceding vehicle. Thus, speed control or the like is performed.

  The storage unit 150 can store various data, software, and the like. For example, the road map data necessary for the navigation unit 120 is stored, or the driving technique information including the travel history information of the host vehicle detected by the host vehicle information detection unit 170 described later is stored. The driver detection unit 160 detects a driver who drives the host vehicle 20. FIG. 2 is a block diagram illustrating a configuration example of the driver detection unit 160. The driver detection unit 160 is, for example, a face detection unit 162 that detects a driver's face from imaging data of an imaging camera or the like attached in the vehicle, and a driver that identifies a driver based on the face detected by the face detection unit 162 A person identification unit 164 is included. For example, the driver identification unit 164 identifies a matching driver from a plurality of driver's face images registered in advance. It is also possible to register driver attribute information in association with the driver's face information, thereby obtaining the identified driver attributes (for example, age, sex, driving history, etc.). be able to. The driver identification method is not limited to this, and other methods may be used. For example, the driver detection unit 140 extracts personal identification information (for example, SIM information) included in the smartphone or the like when a smartphone, a tablet terminal, or the like that the driver has is connected to the automatic driving device 100. Thus, the driver may be identified.

  The own vehicle information detection unit 170 detects information such as the traveling state of the own vehicle and obstacles around the own vehicle. FIG. 3 is a block diagram illustrating a configuration example of the own vehicle information detection unit 150. The own vehicle information detection unit 170 includes, for example, an acceleration sensor 171, a gyro sensor 172, a lateral acceleration sensor 173, a speed sensor 174, a GPS sensor 175, a steering sensor 176, a brake sensor 177, a millimeter wave radar 178, and the like. . The acceleration sensor 171 detects a temporal change in acceleration in the traveling direction of the host vehicle. The gyro sensor 172 detects the angular velocity of the own vehicle. The lateral acceleration sensor 173 detects a temporal change in acceleration acting in a vertical method with respect to the traveling direction of the host vehicle. The speed sensor 174 detects the speed of the host vehicle based on a vehicle speed pulse or the like. The GPS sensor 175 detects the position of the own vehicle. The steering sensor 176 detects the steering angle of the steering wheel of the host vehicle. The brake sensor 177 detects the presence or absence of the brake of the own vehicle. The millimeter wave radar 178 detects the distance, direction, size, and the like with obstacles around the host vehicle. These detection results are provided to the control unit 210, and the control unit 210 controls the automatic driving of the host vehicle based on the host vehicle information detected by the host vehicle information detection unit 170, for example. Further, the control unit 210 analyzes the driving skill and skill level of the driver based on the own vehicle information detected by the own vehicle information detection unit 170. The configuration of the own vehicle information detection unit 170 shown in FIG. 3 is an example, and may include other detection means, for example, a sensor that detects information related to accelerator work.

  The biological information detection unit 180 detects the biological information of the driver while traveling. FIG. 4 is a block diagram illustrating a configuration example of the biological information detection unit 180. The sweating amount detection unit 182 detects the sweating amount of the driver, and the heartbeat detection unit 184 detects the heart rate of the driver. The sweat amount detection unit 182 and the heart rate detection unit 184 can be wearable terminals, for example. The line-of-sight detection unit 186 detects the driver's line of sight using a line-of-sight camera or the like in the vehicle. These detection results are provided to the control unit 210, and the control unit 210 monitors whether or not the driver is driving normally (whether or not looking aside) based on the detected biological information. Or the presence or absence of driving stress can be determined. For example, if you turn right at an intersection and the driver moves to the right turn lane across the overtaking lane, if your heart rate and sweating rate suddenly increase, you will feel stress in such lane changes, It can be considered that the driver is not good at such driving or has a low skill level. Note that the biological information detected in the present embodiment is an example, and other biological information such as blood pressure may be detected.

  The communication unit 190 enables wireless or wired data communication with the network NW shown in FIG. 1 or other external devices. The automatic driving execution unit 200 automatically controls the speed, steering, inter-vehicle distance, travel lane, brake, and the like of the host vehicle 20 when the host vehicle 20 is automatically driven. In a preferred embodiment, the control unit 210 includes a microcontroller including a ROM, a RAM, and the like, and the ROM or the RAM can store various programs for controlling the operation of each unit of the automatic driving device 100.

  In the present embodiment, the control unit 210 executes a host vehicle driving control program for controlling the host vehicle automatic driving execution unit 200. FIG. 5 is a diagram illustrating a functional configuration example of the host vehicle operation control program 300. The own vehicle driving control program 300 includes a driver information acquisition unit 310, a driving technology information generation unit 320, a driving technology information analysis unit 330, a parameter determination unit 340, and an automatic driving control unit 350. In the present embodiment, an example in which the own vehicle 20 analyzes the driver's skill level in a self-contained manner is shown. However, as shown in FIG. 1, as shown in FIG. It is also possible to analyze.

  The driver information acquisition unit 310 acquires the identification information of the driver identified by the driver detection unit 160. The identification information of the driver is provided to the driving technology information generation unit 320, the driving technology information analysis unit 330, the parameter determination unit 340, and the automatic driving control unit 350, and the driving technology for each driver is analyzed, so that the driver's skill Automatic operation control according to the degree becomes possible.

  The driving technology information generation unit 320 acquires the host vehicle information detected by the host vehicle information detection unit 170 and the biological information detected by the biological information detection unit 180, and generates driving technology information based on the acquired information. . In other words, the driving technology information includes acceleration information, angular velocity information, lateral acceleration information, distance to an obstacle around the host vehicle, direction, size, steering angle of the steering wheel, brake on / off, It is configured based on perspiration information, heart rate information, line-of-sight information, and the like. Further, the driving technology information generation unit 320 acquires information on driving of the driver from a source other than the own vehicle information detection unit 170, for example, information on the road or intersection where the own vehicle is traveling from the navigation unit 120, Driving technology information can be generated based on the acquired information. In this case, the host vehicle information detected by the host vehicle information detection unit 170 is acquired in association with the road and intersection information of the navigation unit 120. For example, when the host vehicle is traveling on a general road, the host vehicle information is associated with link data of the general road, and when the host vehicle is traveling on a highway, the host vehicle information is Associated with link data. Moreover, when the own vehicle turns right and left at the intersection, node data of the intersection is associated. The link data includes road type, speed limit, lane information, and the like as road attribute information, and driving technology information is generated in association with the own vehicle information. Similarly, the node data includes information such as the number of lanes and the presence / absence of a right / left turn-only lane as attribute information of the intersection, and the driving technology information is also generated in association with the own vehicle information. In addition to this, the driving technology information generation unit 230 can acquire, for example, speed information, gear change information, and the like that can be acquired via an in-vehicle bus, and can generate driving technology information using the acquired information. .

  The driving technology information generation unit 320 accumulates the generated driving technology information in the storage unit 150 or the like for each driver. FIG. 6 is a diagram for explaining an example of the driving technique information stored in the storage unit 150. In the example shown in the figure, the average driving speed of the four drivers A, B, C and D on the general road, the average driving speed of the highway, the right turn over two or more lanes, and the number of sudden brakings per month are stored. ing.

  The average speed of a general road or expressway is calculated by, for example, calculating the average of speed information obtained at a fixed sampling cycle during driving, or accumulating the average speed of this time on the average speed of driving in the past. It is obtained by calculating. Whether or not the vehicle is traveling on a general road or an expressway is determined based on the information obtained from the navigation unit 120 as described above. A right turn over two or more lanes is calculated, for example, based on how much the guidance instruction is followed when the navigation unit 120 provides route guidance. When there are a plurality of lanes entering the intersection, the guidance by the navigation unit 120 usually guides to the right turn lane when reaching a certain distance before the intersection. Do not turn right over the above. Therefore, if there are two or more lanes to the intersection and a lane guidance for a right turn has been made or the lane has not been changed within a certain time, it is determined that the guidance instruction has not been followed. At this time, whether or not the lane has been changed is determined from the steering angle, the lateral acceleration, or the like. If the ratio is 100%, it means that the navigation guidance instruction has been followed 100%. The number of sudden braking is stored, for example, how many times in a month. Whether the braking is sudden or not is determined based on the acceleration when the speed of the host vehicle decreases. Note that FIG. 6 is an example, and other than this, for example, an average inter-vehicle distance when there is a vehicle ahead of the host vehicle is also generated.

  The driving technology information analysis unit 330 analyzes the driving technology information generated by the driving technology information generation unit 320. The analysis can target all of the driving technique information, but here, an example of analysis of the driving technique information shown in FIG. 6 will be described. FIG. 7 is an example of the analysis result of the driving technique information of FIG. For example, since the average speed of the highway is 100 km / h, the drivers A and B analyze that 100 km / h is appropriate as the maximum speed when driving high-speed automatic in the actual operation of automatic driving. To do. On the other hand, although the average speed of the highway is 125 km / h for the drivers C and D, the maximum speed during the high-speed automatic driving is 110 km because the number of sudden braking of the driver C per month is larger than the threshold. / H is appropriate, and the driver D analyzes that 120 km / h is appropriate for the maximum speed during high-speed automatic driving because the number of sudden braking is smaller than the threshold value. The analysis result of the driving information analysis unit 330 is stored in the storage unit 150 for each driver, and the analysis result is updated every time the driving technology information is updated.

  In addition, driver A uses a passing lane during automatic driving because the frequency of right turns across two or more lanes is low, but in the case of three or more lanes, it is analyzed that a lane that does not cross two lanes is appropriate. The The driver B analyzes that the overtaking lane is not used as much as possible when the cruising speed during automatic driving is 80 to 90 km / h for more than a certain time (for example, 3 minutes) because the frequency of right turns across two lanes is high. . The drivers C and D analyze that the frequency of turning right between the two lanes is very small, so the overtaking lane is used during automatic driving, but the speed does not exceed 125 km / h. Further, from the analysis of the driving technology information, the inter-vehicle distance appropriate for the drivers A to D at the time of cruising is analyzed.

  The parameter determination unit 340 determines parameters for controlling automatic driving based on the analysis result of the driving technology information analysis unit 330. The parameters for controlling the automatic driving are not particularly limited, but in a preferred embodiment, the parameters are the speed of the host vehicle, the lane that travels during cruising, and the inter-vehicle distance from the preceding vehicle. The parameter determination unit 340 determines the upper limit of the maximum speed of the highway according to the analysis result of the driving technology information analysis unit 330. For example, for drivers A and B, the maximum speed of the highway during automatic driving is 100 km / h, for driver C, the maximum speed is 110 km / h, and for driver D, the maximum speed is 100 km / h. Is determined to be 120 km / h. Moreover, the parameter determination part 340 determines the travel lane and the inter-vehicle distance at the time of the highway cruise according to the analysis result shown in FIG.

  The automatic operation control unit 350 controls the automatic operation by the automatic operation execution unit 200 based on the parameters determined by the parameter determination unit 340. In the automatic driving, the traveling speed, steering, and the like are controlled while using the information of the own vehicle information detection unit 170 and the imaging unit 140.

Next, the operation of the automatic driving device of this embodiment will be described. FIG. 8 is an operation flow of automatic operation control according to the embodiment of the present invention. First, when the driver is seated on the seat, the driver is identified by the driver detection unit 160 (S100). The driver identification information is provided to the automatic driving control program 300. Next, as the traveling of the host vehicle 20 is started (S102), the host vehicle information is sequentially detected by the host vehicle detecting unit 170, and the driving technology information generating unit 320 detects the driving technology information of the identified driver. Is generated and stored in the storage unit 150 (S104).
Next, the automatic operation control program 300 determines whether or not automatic operation control is executed (S106). Under what circumstances the automatic operation control is executed is arbitrary, and the user or the like can appropriately set or change the state in which the automatic operation control is performed. In a preferred embodiment, automatic driving control is executed when the host vehicle 20 travels on a highway. In this case, the automatic driving control program 300 refers to the own vehicle position information and the like of the navigation unit 120, and determines that the automatic driving control is to be executed when the own vehicle starts traveling on the highway.

  If it is determined that the automatic driving control is executed, the driving technology information analysis unit 330 analyzes the generated and accumulated driving technology information (S108), and the parameter determination unit 340 performs automatic driving control based on the analysis result. Parameters are determined (S110), and automatic operation by the automatic operation control unit 350 is started according to the determination (S112). During the automatic operation, the automatic operation control program 300 cancels the automatic operation when the limit of the operation control is reached (for example, traffic jam) (S114), and is then switched to the manual operation (S116). Since the driver takes over the manual driving from the automatic driving according to his / her driving skill or skill level, he / she does not feel any trouble or stress in the driving operation.

  Next, an automatic driving system according to a second embodiment of the present invention will be described. In the second embodiment, the vehicle 20 is connected to a cloud server such as the data analysis distribution site 30 and the traffic information distribution site 40 via the network NW (see FIG. 1). The own vehicle 20 includes the driver information identified by the driver detection unit 160, the own vehicle information detected by the own vehicle information detection unit 170, the biological information detected by the biological information detection unit 180, and the position information of the own vehicle 20. Are transmitted to the data analysis distribution site 30. The data analysis distribution site 30 generates, accumulates, and analyzes driving skill information of the driver based on the provided information, and transmits the analysis result to the own vehicle 20. The own vehicle 20 determines parameters for controlling automatic driving based on the analysis result of the data analysis distribution site 30, and controls automatic driving. Alternatively, the data analysis / distribution site 30 may determine parameters for controlling automatic driving and transmit the determined parameters to the host vehicle 20.

  Next, a third embodiment of the present invention will be described. In the above embodiment, the driving technique information analysis unit 330 mainly analyzes the own vehicle information detected by the own vehicle information detection unit 170, but the driving technique information analysis unit 330 is the biological information detection unit 180. It is also possible to further use the biological information detected in step (b). Preferably, the driving skill information analysis unit 330 compares the perspiration amount detected by the perspiration amount detection unit 182 with the heart rate detected by the heart rate detection unit 184 and a threshold value. It is determined that the driver feels stress. In other words, being stressed means that you are not good at driving or that you inevitably do so. Therefore, it is desirable that the driving technology information analysis unit 330 performs an analysis in which such stress is determined. In a preferred example, when the stress is determined based on the biological information, the accumulation of the driving technique information is canceled or the weighting of the driving technique information is accumulated.

  FIG. 9 is a diagram showing an operation flow of the third embodiment. As the host vehicle starts to travel, host vehicle information and biological information are detected, and the detected information is provided to the driving skill information generation unit 320 (S200). The driving technology information generation unit 320 compares the biometric information with the threshold value (S202), and determines whether the driver feels stress on the driving based on the comparison result (S204). When it determines with feeling stress, the driving skill information generation part 320 does not accumulate the driving skill information by the said own vehicle information (S206). This prevents the driving when feeling stressed from being reflected in the analysis. On the other hand, when it is determined that the user does not feel stress, the driving technique information based on the own vehicle information is accumulated as usual and is reflected in the analysis. As described above, according to the third embodiment, it is possible to exclude or neglect driving that is different from the driver's original driving, and it is possible to appropriately determine the driving skill or skill level of the driver. .

  The preferred embodiment of the present invention has been described in detail above. However, the present invention is not limited to the specific embodiment, and various modifications and variations are possible within the scope of the gist of the invention described in the claims. It can be changed.

DESCRIPTION OF SYMBOLS 10: Autonomous driving system 20: Own vehicle 30: Data analysis delivery site 40: Traffic information delivery site 100: Automated driving device 110: Input part 110: Navigation part 120: Image / sound output part 130: Imaging part 140: Imaging part 150 : Storage unit 160: driver detection unit 170: own vehicle information detection unit 180: biological information detection unit 190: communication unit 200: automatic driving execution unit 210: control unit 300: own vehicle driving control program 210: driver information acquisition unit 320: Driving technology information generation unit 330: Driving technology information analysis unit 340: Parameter determination unit 350: Automatic driving control unit

Claims (13)

An acquisition means for acquiring driving technology information related to the driving technology of the driver;
Analyzing means for analyzing the driving technology information acquired by the acquiring means;
Automatic driving control means for controlling automatic driving of the vehicle,
The automatic operation control means, wherein the automatic operation control means determines parameters for controlling automatic operation based on the analysis result of the analysis means. The automatic driving apparatus according to claim 1, wherein the parameter is an upper limit speed of the vehicle. The automatic driving apparatus according to claim 2, wherein the automatic driving control means determines an upper limit value of the speed analyzed by the analyzing means as an upper limit speed of the parameter. The automatic driving apparatus according to claim 1, wherein the parameter is an inter-vehicle distance from a preceding vehicle. The automatic driving apparatus according to claim 4, wherein the automatic driving control means determines the inter-vehicle distance analyzed by the analyzing means as the inter-vehicle distance of the parameter. The automatic driving apparatus according to claim 1, wherein the parameter is a lane in which the vehicle travels. The automatic driving device according to claim 6, wherein the automatic driving control means determines the driving lane analyzed by the analyzing means as the driving lane of the parameter. The automatic driving apparatus according to claim 1, wherein the driving technical information includes traveling history information related to a traveling history of the vehicle. 2. The driving technique information according to claim 1, wherein the driving technique information includes biological information including at least one of a driver's sweat amount, a heartbeat, and a line of sight, and the analysis unit analyzes the driving technique information based on the biological information. Automatic driving device. The automatic driving apparatus according to claim 1, wherein the analysis unit analyzes the driving technique information based on information obtained from a navigation unit. The automatic driving apparatus further includes identification means for identifying a driver, and the acquisition means acquires driving technical information of the driver identified by the identification means. Automatic driving device. An automatic driving device according to any one of claims 1 to 11, and a distribution device connected to the automatic driving device via a network,
The automatic driving device includes first transmission means for transmitting the driving technology information to the distribution device,
The distribution device transmits a storage unit that stores the driving technology information acquired from the acquiring unit, an analysis unit that analyzes the driving technology information, and analysis information analyzed by the analyzing unit to the automatic driving device. An automatic driving system including a second transmission means. The first transmission means further transmits the driver information identified by the identification means to the distribution device,
The storage means stores driving technology information for each driver, the analyzing means analyzes driving technology information of the identified driver, and the second transmitting means is analysis information of the identified driver. The automatic driving system according to claim 12, wherein the automatic driving system is transmitted to the automatic driving device.

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