JP2018185669A - Vehicle control device and driving support system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problem that a peripheral environment such as a position or a speed of another vehicle is not taken into account and that, under an environment where an influence of the other vehicle is considerable, a travel model cannot be applied.SOLUTION: A driving support system comprises: a vehicle control device which stores map information including driving analysis data as a result of analyzing driving performance data at a predetermined point received from multiple vehicles including another vehicle; and a server device which is connected with the vehicle control device by communications and generates the driving analysis data. In accordance with a request from the vehicle control device or the server device, the driving analysis data are downloaded to the vehicle control device.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a vehicle control device and a driving support system.

There is a driving support device that notifies a driver of a vehicle of information such as a driving environment of the vehicle, such as road conditions, and assists the driving operation of the vehicle by the driver.
As such a driving support device, in the driving support device described in Patent Document 1, road information that is information related to the driving environment of the host vehicle and information related to the driving state of the host vehicle that changes due to the driving operation of the driver. A travel model is created based on the driving information.

Japanese Patent No. 5447662

  The device described in Patent Document 1 does not consider the surrounding environment such as the position and speed of other vehicles, and cannot apply the traveling model under an environment in which the influence of other vehicles is large.

According to the first aspect of the present invention, the vehicle control device is a vehicle control device including a storage unit that stores map information, and the map information is a driving at a predetermined point received from a plurality of vehicles including other vehicles. Operation analysis data that is the result of analyzing actual data is included.
According to the second aspect of the present invention, the driving support system stores a map information including driving analysis data which is a result of analyzing driving performance data at a predetermined point received from a plurality of vehicles including other vehicles. And a server device that communicates with the vehicle control device and generates the driving analysis data, and the driving analysis data is downloaded to the vehicle control device in response to a request from the vehicle control device or the server device. The

  ADVANTAGE OF THE INVENTION According to this invention, the suitable driving assistance according to the surrounding environment containing another vehicle is attained.

It is a block diagram which shows the structure of a driving assistance system. (A) (b) It is a figure which shows driving performance data. It is a figure which shows an automatic driving | operation map. (A) (b) It is a figure which shows application object road and driving | running analysis data. It is a flowchart which shows the production | generation process of driving | operation analysis data. It is a flowchart which shows the process of the vehicle control based on driving | operation analysis data.

FIG. 1 is a block diagram showing a configuration of a driving support system according to an embodiment of the present invention.
As shown in FIG. 1, the driving support system includes a driving support server 10 owned by a driving support service provider, a plurality of vehicle control devices 20, and a network 40 that connects the driving support server 10 and the vehicle control device 20. Is provided.

  Each vehicle control device 20 is a computer mounted on a vehicle, and performs various calculations according to a program, operation command output for vehicle parts such as a handle and an accelerator, and status of vehicle parts such as a speed and a handle. Perform monitoring, etc. In addition, it is connected to an in-vehicle camera or radar through the external I / F 25, and receives information on an object recognized by the camera or radar, information on the surrounding environment, and the like, and performs vehicle control related to automatic driving and driving support based on the information. . Hereinafter, one typical configuration of the plurality of vehicle control devices 20 will be described. Since the configuration of the other vehicle control device 20 is the same as that shown in FIG. 1, illustration and description thereof are omitted.

  A radio communication device 30 and a GPS (Global Positioning System) device 32 are connected to the vehicle control device 20. The GPS device may be connected to the external I / F 25 independently of the vehicle control device 20. The vehicle control device 20 is connected to the network 40 via the wireless base station 31 by the wireless communication device 30. The wireless communication device 30 may be built in the vehicle control device 20.

  The vehicle control device 20 includes a network IF unit 21 for connecting to the network 40, a memory 29, a processor 28, an in-vehicle sensor (not shown), and an external IF 25 that receives recognition information of the in-vehicle sensor. Have. The memory 29 is configured by, for example, a hard disk drive (HDD) or a flash memory. A plurality of programs are held in the memory 29. As functions realized by executing these programs on a computer, at least a distribution request unit 22, a map update unit 23, an automatic driving vehicle control unit There are 24. A vehicle control logic storage unit 26 and an automatic driving map data storage unit 27 are provided as storage devices. The automatic driving map data storage unit 27 holds lane level detail map data for automatic driving.

  The distribution request unit 22 automatically drives a necessary range (area) around the vehicle based on the vehicle position when the vehicle position is likely to deviate from the range of the downloaded automatic driving map at a predetermined timing. The map data is requested to the driving support server 10 and the automatic driving map is downloaded. At this time, the operation analysis data included in the corresponding map range is also downloaded. Further, at the timing of requesting the automatic driving map data, the driving record data collected and accumulated by the own vehicle and the surrounding environment data are also transmitted to the driving support server 10. The automatic driving map and the driving analysis data may not be downloaded at the same time, but may be downloaded at different timings. The driving analysis data retains association information as to which position on the map is used, based on the latitude / longitude and the unique identification number of the lane, and can be managed independently from the map data. The downloaded automatic driving map data is stored in the automatic driving map data storage unit 27. The downloaded driving analysis data is stored in the vehicle control logic storage unit 26.

  The driving support server 10 receives driving result data including time, driving state data, vehicle control operation information (handle, accelerator, brake operation, vehicle speed, etc.) received from the vehicle control device 20 at each driving point, And the surrounding environment data including relative distance and speed information with other vehicles and objects in the vicinity acquired from the vehicle-mounted sensor are stored in the driving performance data storage unit 11.

  The driving support server 10 includes a processor 17, a memory 18, a network interface (IF) unit 15, a driving performance data storage unit 11, and an automatic driving map data storage unit 12. The memory 18 stores a plurality of programs. As a function realized by executing these programs on a computer, at least an operation result data analysis unit 13 for processing operation result data and surrounding environment data; And a map data management unit 14. Processing realized by the processor 17 executing the program will be described later. In the following description, the processing executed by the operation result data analysis unit 13 and the like is executed by the processor 17 according to the program of the operation result data analysis unit 13 and the like.

  The driving performance data storage unit 11 and the automatic driving map data storage unit 12 are configured by a storage device such as a hard disk drive (HDD). The automatic driving map data storage unit 12 stores lane data (lane data) in addition to link data of each link constituting a road on the map. This lane data includes information such as lane interconnection information, lane width, lane centerline shape, and lane type. The automatic driving map data includes coordinate values indicating the position and shape of map components (features) such as roads and buildings. The map data storage unit 16 of the present embodiment stores at least road data indicating the position, shape, connection relationship, and the like of roads and lane data constituting the roads as map data.

  The driving record data storage unit 11 stores driving record data and surrounding environment data transmitted from each vehicle control device 20. The driving performance data includes the vehicle position expressed by time, latitude and longitude, a point on the map, the operation state such as the steering wheel angle, the accelerator opening, the brake strength, the vehicle speed, the acceleration, and the like. The surrounding environment data is the situation around the vehicle obtained from the in-vehicle sensor mounted on each vehicle, the position / distance / speed of other vehicles, the type and position of road markings (road surface paint), the position and lights of traffic lights. Color, location and speed of pedestrians and obstacles, weather and sunshine.

  The automatic driving map data storage unit 12 stores map information in which shapes and attributes are described at a level of detail at least at the lane (lane) level that is necessary for automatic driving. Furthermore, the driving analysis data including the application conditions such as the own vehicle position on the lane and the position and speed of the other vehicle at the position, and the control content of the own vehicle appropriate to the application condition is stored. Details of the operation analysis data will be described later.

  The function of the driving support server 10 may be realized by a plurality of computers. For example, the driving performance data storage unit 11 and the automatic driving map data storage unit 12 are each in a storage device of another computer connected to the network 40, and the processor 17 of another computer is further based on the data of these storage devices. You may perform the process mentioned later.

FIG. 2A and FIG. 2B are diagrams showing travel data 200 and surrounding environment data 201 stored in the driving performance data storage unit 11 of the driving support server 10.
One record of the traveling data 200 of the host vehicle includes vehicle control information acquired by the vehicle control device 20 at a certain time. Specifically, each record includes vehicle ID, time, host vehicle latitude / longitude (host vehicle position), steering wheel angle, accelerator opening, brake strength, host vehicle speed, host vehicle acceleration, weather, and brightness.

  The vehicle ID is information for uniquely identifying each vehicle control device 20. The time is the time when each vehicle control device 20 acquires information. The own vehicle latitude and longitude are position information (that is, coordinate values) of the own vehicle acquired by each vehicle control device 20 at each time. The handle angle is an angle obtained by rotating the handle. The accelerator speed is the rate at which the accelerator is depressed, and 1.0 is the maximum opening. The brake strength is the ratio of depressing the brake, and 1.0 is the maximum. The own vehicle speed is the traveling speed of each vehicle at each time. The own vehicle acceleration is the traveling acceleration of each vehicle at each time. The weather is the weather at the traveling point of the vehicle at each time. The brightness is the brightness of the vehicle traveling point at each time.

  For example, in the record 211, the latitude and longitude acquired by the vehicle control device 20 of the vehicle control device 20 identified by the vehicle ID “001” on January 1, 2017 at 12:35:40 are 139.737639 degrees and 35 respectively. .6693167 degrees, the steering angle of the vehicle at that time is 1.0 degree, the accelerator opening is 0.48, the brake strength is 0.0, the own vehicle traveling speed is 38.5 km / h, and the own vehicle acceleration is 0.01m / s2, the weather was fine, and the brightness was 751 lux.

  One record of the surrounding environment data 201 includes surrounding environment information acquired and recognized by an in-vehicle sensor connected to the vehicle control device 20 of one vehicle at a certain time. Specifically, each record includes other object ID, time, other object type, other object position, other object speed, and other object state.

  The other object ID is information for uniquely identifying a peripheral object recognized by the in-vehicle sensor. IDs of objects recognized as the same do not change even when the time changes. The time is the time when each vehicle control device 20 acquires information. The other object type is information indicating the type of the object recognized by the in-vehicle sensor. The other object position is a relative position from the own vehicle to the other object. The other object speed is a moving speed of the other object. The other object moving angle is the moving direction of the moving object, and the traveling direction of the vehicle is 0 degree. The other object state indicates the presence / absence of movement of a moving object, and the state of an object whose state changes, such as a traffic light.

  For example, in the record 212, the other object identified by the other object ID “901” recognized by the vehicle identified by the vehicle ID “001” at 12:35:40 on January 1, 2017 is a passenger car. This indicates that the relative position is (10.5 m forward, 8.3 m right) and the vehicle is moving in the same direction as the vehicle traveling direction at a speed of 45.3 km / h.

  The driving support server 10 stores the driving record data received from each vehicle control device 20 in the driving record data storage unit 11. There are many vehicles that transmit the driving record data, and the driving record data storage unit 11 stores a large amount of data transmitted from a large number of different vehicles. Since the position of the vehicle is specified at the lane level with respect to these data, driving performance data for each lane is obtained even on the same road.

  The driving performance data analysis unit 13 of the driving support server 10 analyzes the accumulated driving performance data and generates driving analysis data. The driving analysis data is data in which application conditions and control details of optimal vehicle control (operation) according to the surrounding environment are set in an arbitrary lane (lane) on the road. The generation of the operation analysis data will be described later.

  FIG. 3 is a diagram illustrating an example of a lane level automatic driving map. This is an example of an autonomous driving map at road intersections and branch points. Each lane is represented by a lane link 302 that represents the center line of the lane and a lane node 301 that is a branch point or a terminal point thereof. In FIG. 3, black circles including 301 are all lane nodes, and dotted lines including 302 are lane links. Lane intersections are set only at the intersections in the direction in which travel is possible. A solid line including 303 is a boundary line of the roadway. In FIG. 3, the road in the north-south direction in the figure is a one-lane road with left-hand traffic. The road in the east-west direction is one-way with three lanes from west to east. The leftmost lane has a branch.

  FIG. 4A shows the application target road, and FIG. 4B shows the driving analysis data on the application target road. In FIG. 4A, dotted lines indicated by 401, 402, 403, and 404 are lane links, and black circles including 405 are all lane nodes. In the example of the merging lane shown in FIG. 4A, the lane 401 is the merging lane and the host vehicle is 410. With respect to the host vehicle 410, the vehicle ahead of the main line is 412, the vehicle before the main line is 413, the vehicle behind the main line is 411, and the vehicle behind the vehicle behind the main line is 412.

FIG. 4B is operation analysis data in the merge lane 401 of FIG.
The driving analysis data 420 is associated with the merging lane 401, and stores the application conditions and control contents of optimum vehicle control (operation) in the lane. Specifically, one record of the driving analysis data 420 includes a lane number and a serial number within the lane corresponding to the analysis data, an application condition for control contents, and control contents.

  In the driving analysis data 420 shown in FIG. 4B, the THW interval used in the application conditions is a value in seconds called “Time Head Way”, and the distance (absolute value) to the opponent is determined by the own vehicle. It is the value divided by the speed (absolute value). This is a parameter that can be regarded as a time-to-vehicle distance.

  The record 421 of the driving analysis data 420 is applied to the own vehicle 410 in the condition that the THW interval of the main line front vehicle 412 is between 0.87 seconds and 2.86 seconds, and the THW interval of the main line rear vehicle 411 is 1.37 seconds to 2.39 seconds. This is an instruction to execute the control content that is applied in the case of between the two vehicles, and that "the speed is maintained and merged between the main vehicles 411 and 412".

  The record 422 of the driving analysis data 420 is applied to the host vehicle 410 when the application condition is that the THW interval of the main line forward vehicle 412 is 0.87 seconds or less and the THW interval of the vehicle 413 before the main line is between 3.73 seconds or more. This is an instruction to apply the control content that is applied and “passes the main line vehicle 412 and joins”.

  The record 423 of the driving analysis data 420 is applied to the own vehicle 410 in that the THW interval of the main vehicle forward vehicle 412 is 0.87 seconds or less, the THW interval of the vehicle 413 before the main train is 3.73 seconds or less, and the main vehicle rear vehicle 411 This is applied when the THW interval of the vehicle is 1.37 seconds or less and the THW interval of the vehicle 414 behind the main line rear vehicle is 3.76 seconds or more. It is.

  The record 424 of the driving analysis data 420 indicates that the application condition for the host vehicle 410 is that the brightness is 100 lux or less, the THW interval of the main line front vehicle 412 is between 1.87 seconds and 3.86 seconds, and This instruction is applied when the THW interval is between 2.37 seconds and 3.39 seconds, and is an instruction to implement the control content of “maintaining the speed between the main road vehicles 411 and 412 and joining”.

  The record 425 of the driving analysis data 420 indicates that the applicable condition for the own vehicle 410 is that the time is between 7:35 and 9:28, and the THW interval of the main line front vehicle 412 is between 0.57 seconds and 2.86 seconds. Also, this instruction is applied when the THW interval of the main line rear vehicle 411 is between 0.97 seconds and 2.39 seconds, and is an instruction to execute the control content of “maintaining the speed between the main lines 411 and 412 and joining”.

  FIG. 5 is a flowchart showing the operation analysis data generation process. The driving performance data analysis unit 13 of the driving support server 10 shows an example of generating driving analysis data from the accumulated driving performance data.

  First, in the analysis process of the driving record data analysis unit 13, the driving record data for each lane at a certain point (a merged lane in the example of FIG. 4) is extracted from the driving record data accumulated in the driving record data storage unit 11 ( Step 1101). The driving performance data to be extracted includes records in traveling data 200 that are vehicle control (operation) contents collected from a number of different vehicles, and surrounding environment data indicating the status of surrounding objects and the like observed by the vehicles. 201 records are included.

  Subsequently, the relevance of all the items of travel data 200 and all the items of surrounding environment data 201 to the characteristic control operation of the own vehicle in driving is calculated for the driving result data (step 1102).

  The relevance calculation is performed as follows. For example, in a merging operation, one of the characteristic control operations of the host vehicle is a steering operation. In this case, first, when the handle angle is large (when merging) and when the handle angle is small (when running along the main line), there is a difference (relevance) in the distribution of values of items in the surrounding environment data, and the difference Examine the conditions that occur. This is performed for all items of the travel data 200 and all items of the surrounding environment data 201.

  In this process, the traveling data 200 and the surrounding environment data 201 in which a difference in distribution is recognized are characteristic conditions when a steering operation, that is, a merging operation is performed. The items of the highly relevant traveling data 200 and the surrounding environment data 201 and the range of the values are used as the driving analysis data. If the difference in distribution is large, it can be determined that the relationship with the steering operation, that is, the merging operation is strong. In this case, these are employed as conditions for performing the merging operation and used as operation analysis data (step 1103).

  The strength of relevance is calculated for all items of driving data and surrounding environment data, and among them, the top several cases having the strongest relevance are adopted as driving analysis data. For example, in the example of merging in FIG. 4 (a), there are a large number of objects acquired as surrounding environment data, and the relevance was calculated including information such as road markings in addition to other vehicle information. The application condition and the control content described in FIG.

  Based on data collected from a large number of different vehicles, driving analysis data is generated based on the strength of relevance, thereby obtaining the control details and application conditions of the vehicles most frequently used by vehicles passing through the location. As a result, the model can be used universally for a large number of vehicles at that location.

  If driving analysis data has been generated for all points and lanes, the process ends. If not, the process returns to step 1101 (step 1104). By the above process, for example, operation analysis data shown in FIG. 4B is obtained.

  The driving analysis data generated by the driving performance data analysis unit 13 is stored in the automatic driving map data storage unit 12 in association with the lane of the automatic driving map. This does not force the driving analysis data and the automatic driving map data to be stored in the physically same storage location, and it is only necessary that they can be associated with each other physically. .

  The driving analysis data is downloaded from the driving support server 10 together with the automatic driving map in response to a request from the vehicle control device 20 or a request from the driving support server 10 and stored in the vehicle control logic storage unit 26. The download of the driving analysis data does not have to be the same timing as the downloading of the automatic driving map. Finally, in the vehicle control device 20, the lane of the automatic driving map and the driving analysis data in the lane are the vehicle control device. 20 can be associated with each other.

FIG. 6 is a flowchart showing a vehicle control process based on the driving analysis data.
The automatic driving vehicle control unit 24 of the vehicle control device 20 includes a downloaded automatic driving map, other vehicles and pedestrians recognized by a radar or a camera connected to the external I / F 25, a surrounding environment such as road markings, signals, With reference to the driving analysis data downloaded to the control logic storage unit 26, automatic driving and vehicle control are performed.

  First, the current position of the vehicle's lane level is calculated, and the vehicle's state (speed, accelerator / handle state, etc.) is recognized and calculated (step 1001). Next, it is calculated on which lane of the autonomous driving map the host vehicle is present (step 1002). Furthermore, using the recognition result from the in-vehicle sensor, data on the surrounding environment (position, speed, etc. of the other vehicle) of the own vehicle is acquired (step 1003).

  Subsequently, the driving analysis data corresponding to the lane where the host vehicle is present is extracted from the vehicle control logic storage unit 26 (step 1004). An example of the operation analysis data is as shown in FIG. Then, from the extracted driving analysis data, the control content corresponding to the application condition that matches the condition of the host vehicle (speed and position on the lane) and the surrounding environment (position and speed of the other vehicle) is selected (step 1005). .

Then, according to the control content selected in step 1005, the control operation (steering wheel, accelerator operation, etc.) of the host vehicle is performed (step 1006).
The vehicle control process shown in the flowchart of FIG. 6 is repeatedly executed while the vehicle is in the automatic driving or driving support mode. The repetition interval (for example, 1 second, 100 milliseconds, etc.) is arbitrary, and is set based on system performance and required specifications.

  According to the present embodiment, it is possible to perform appropriate vehicle control and automatic driving according to the location and the surrounding environment at that time, including lane differences.

According to the embodiment described above, the following operational effects can be obtained.
(1) The vehicle control apparatus 20 of the embodiment includes a storage unit 27 that stores map information. The vehicle control device 20 analyzes the driving performance data 200 and 201 at a predetermined point received from a plurality of vehicles including other vehicles, and stores the driving analysis data 420 as the analysis result in the storage unit 27. As a result, it is possible to provide appropriate driving support according to the surrounding environment including other vehicles by using the driving analysis data 420 suitable for the vehicle position.

(2) The driving performance data 200 and 201 includes the surrounding environment data 201 indicating the state of the surrounding environment of the vehicle. That is, the driving analysis data 420 is based on driving performance data 200 and 201 that also includes the surrounding environment data 201 of a plurality of vehicles. This makes it possible to provide appropriate driving support according to the surrounding environment including other vehicles.

(3) In addition to the surrounding environment data 201, the driving performance data 200, 201 includes control information when a plurality of vehicles are controlled. The driving analysis data 420 is based on driving performance data 200 and 201 in consideration of surrounding environment data 201 and control information of a plurality of vehicles. As a result, it is possible to provide appropriate driving support according to the surrounding environment including other vehicles and the control information.

(4) The surrounding environment data 201 includes information on the types of objects other than the own vehicle observed by the in-vehicle sensor, and information indicating the relationship between the own vehicle and the object. As a result, it is possible to provide appropriate driving support according to the object.

(5) The ambient environment data 201 includes at least one of information indicating brightness or information indicating time. Thereby, appropriate driving support according to brightness and time becomes possible.

(6) The information indicating the relationship with the object includes at least one of a relative positional relationship with the object or a relative speed with the object. This makes it possible to provide appropriate driving support according to the relative positional relationship and relative speed with the object.

(7) The vehicle control device 20 further includes a control unit 24 that controls the host vehicle based on the driving analysis data 420. As a result, appropriate driving assistance such as automatic driving becomes possible.

(8) The driving analysis data 420 is generated based on the driving performance data 200 and 201 including the surrounding environment data, and the driving analysis data 420 includes the control content for controlling the host vehicle and the surrounding environment for enabling the control content. Data and conditions for the condition of the vehicle. As a result, appropriate driving assistance such as automatic driving becomes possible.

(9) The server further includes a distribution request unit 22 that specifies an area and requests distribution of map information including the driving analysis data 420 to the server device 10 connected by communication. As a result, the distribution of the driving analysis data is requested, and appropriate driving support becomes possible.

(10) A transmission unit 30 that transmits the operation result data 200 and 201 to the server device 10 is provided. Thereby, driving performance data is transmitted, and appropriate driving assistance becomes possible.

(11) The driving support system of the embodiment includes a vehicle control device 20 that stores map information. The map information includes driving analysis data 420 that is a result of analyzing driving performance data 200 and 201 at a predetermined point received from a plurality of vehicles including other vehicles. The driving support system is connected to the vehicle control device 20 by communication. The server device 10 that generates the driving analysis data 420 is provided. The driving analysis data 420 is downloaded to the vehicle control device 20 in response to a request from the vehicle control device 20 or the server device 10. This makes it possible to provide appropriate driving support according to the surrounding environment including other vehicles.

  The present invention is not limited to the above-described embodiment, and other forms conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention as long as the characteristics of the present invention are not impaired. .

DESCRIPTION OF SYMBOLS 10 Driving support server 11 Driving record data storage part 12 Automatic driving map data storage part 13 Driving record data analysis part 14 Map data management part 15, 21 Network interface (I / F)
17, 28 Processor 18, 29 Memory 20 Vehicle control device 22 Distribution request unit 23 Map update unit 24 Automatic driving vehicle control unit 25 External I / F
26 vehicle control logic storage unit 27 automatic driving map data storage unit 30 wireless communication device 31 wireless base station 32 GPS device 40 network

Claims (11)

A vehicle control device comprising a storage unit for storing map information,
The said map information is a vehicle control apparatus containing the driving | running analysis data which are the results of having analyzed the driving performance data in the predetermined point received from the some vehicle containing other vehicles. The vehicle control device according to claim 1,
The driving performance data is a vehicle control device including surrounding environment data indicating a situation of surrounding environments of the plurality of vehicles. The vehicle control device according to claim 2,
The driving performance data is a vehicle control device including control information when the plurality of vehicles are controlled. The vehicle control device according to claim 2,
The surrounding environment data is a vehicle control device including information on the type of an object other than the own vehicle observed by an in-vehicle sensor, and information indicating a relationship between the own vehicle and the object. The vehicle control device according to claim 4, wherein
The surrounding environment data is a vehicle control device including at least one of information indicating brightness or information indicating time. The vehicle control device according to claim 4, wherein
The information indicating the relationship with the object is a vehicle control device including at least one of a relative positional relationship with the object or a relative speed with the object. In the vehicle control device according to any one of claims 1 to 6,
The vehicle control apparatus further provided with the control part which controls the own vehicle based on the said driving | running analysis data. In the vehicle control device according to any one of claims 2 to 6,
The driving analysis data is generated based on the driving performance data including the surrounding environment data,
The driving analysis data includes a control content for controlling the host vehicle, the surrounding environment data for validating the control content, and application conditions for the state of the host vehicle. The vehicle control device according to claim 8, wherein
A vehicle control apparatus further comprising a distribution request unit that is connected by communication and requests a distribution of the map information including the driving analysis data by specifying an area to a server apparatus. The vehicle control device according to claim 9, wherein
A vehicle control apparatus provided with the transmission part which transmits the said driving performance data to the said server apparatus. A vehicle control device for storing map information including driving analysis data, which is a result of analyzing driving performance data at a predetermined point received from a plurality of vehicles including other vehicles;
A server device that is connected to the vehicle control device by communication and generates the driving analysis data;
The driving analysis system, wherein the driving analysis data is downloaded to the vehicle control device in response to a request from the vehicle control device or the server device.

Images