JP2012128344A - On-vehicle driving recognition training device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To further improve driving behavior and driving capability of a driver D.SOLUTION: The present invention evaluates driving aptitude evaluation of the identified driver D and a plurality of routes on the basis of collection of driving characteristic information corresponding to a travel condition previously set for each driver D. The present invention estimates a route for driving training for the identified driver D on the basis of evaluation information of each route constituting at least a part of a travel route to a recognized destination and the evaluated driving aptitude evaluation of the driver D, and selects a training route to the recognized destination on the basis of the estimated route. The present invention presents the selected training route to the driver D.

Description

  The present invention relates to a technique of a training device for improving driving behavior and driving ability of a driver.

  The technique described in Patent Document 1 aims to improve the driver's awareness of safe driving and eco-driving. And the apparatus of patent document 1 diagnoses a driver | operator's driving | running state, and gives a point as evaluation according to the diagnostic result.

JP 2010-39639 A

The above-mentioned conventional technology only informs the driver of the diagnosis result of the driving behavior of the driver. For this reason, the prior art has a problem that it is insufficient as a presentation of specific actions for improving the driving behavior and driving ability of the driver.
The present invention focuses on the above points and aims to further improve the driving behavior and driving ability of the driver.

  In order to solve the above-mentioned problems, the present invention evaluates driving aptitude evaluation of a identified driver and a plurality of routes based on a set of driving characteristic information corresponding to a preset driving condition for each driver. . Then, the present invention provides a route for driving training for the identified driver based on the evaluation information of each route that constitutes at least a part of the travel route toward the recognized destination and the obtained driving suitability evaluation of the driver. And a training route toward the recognized destination is selected based on the estimated route. Then, the present invention presents the selected learning route to the driver.

  According to the present invention, a route suitable for a driver can be estimated from the driving suitability evaluation of the target driver and the route evaluation of each route obtained from the driving characteristic information of a plurality of drivers. As a result, the present invention can provide a training route that improves the driving behavior and driving ability of the driver. As a result, the driving behavior and driving ability of the driver can be further improved.

It is a block diagram which shows the structure of the vehicle-mounted driving | operation recognition training apparatus concerning embodiment of this invention. It is a flowchart figure which performs a route presentation to a driver in a driving recognition training device. It is a figure which shows the characteristic of each path | route in a path | route evaluation part. It is a figure of the idea which brings about a training effect in a path | route evaluation part. In a route evaluation part, it is a figure in case driving aptitude evaluation and driving information are uncorrelated or a correlation is low. It is a figure explaining the example of calculation of a training route. It is a figure explaining the example of calculation of a training route. It is a figure explaining the example of calculation of a training route. It is a figure explaining the example of a proposal of the route for driving | operation diagnosis. It is a figure explaining the method of calculating a driving suitability value from driving characteristic information.

Next, an embodiment according to the present invention will be described with reference to the drawings.
An in-vehicle driving recognition training device is mounted on the vehicle.
As shown in FIG. 1, the in-vehicle driving recognition training apparatus includes a driver identification unit 102, a destination recognition unit 103, a travel history holding unit 202, a normal travel route acquisition unit 203, a driving characteristic information acquisition unit 201, and a driving suitability evaluation. An acquisition unit 104, a route recognition unit 204, a route evaluation unit 108, a training route acquisition unit 112, a training route presentation unit 113, and a training route selection unit 111 are provided.

  The travel history holding unit 202 is a program that acquires and holds a vehicle travel history for each driver. The travel history holding unit 202 collects the driving information of the driver based on the route traveled by the vehicle, its time, and the own vehicle information from the vehicle signal acquisition device 106, and holds the driving information in the storage unit. The normal travel route acquisition unit 203 travels the most traveled route among the travel routes toward the destination of the driver identified by the driver identification unit 102 based on the information held by the travel history holding unit 202. The route is obtained as a normal travel route.

The vehicle signal acquisition device 106 is a device that acquires various signals generated in the vehicle. The vehicle signal acquisition device 106 acquires a signal from, for example, a brake sensor or an accelerator sensor.
The driving characteristic information acquisition unit 201 acquires the own vehicle information acquired by the vehicle signal acquisition device 106 when traveling on each route, and from the own vehicle information acquired for each route, the current driving operation when traveling on the route is performed. This is a program for obtaining driving characteristics of a driver who is driving. The obtained driving characteristic information for each route is stored in the driving characteristic information storage unit 105. The driving characteristic information acquisition unit 201 may obtain driving characteristic information for each route for each driver based on the information acquired by the travel history holding unit 202.

The data stored in the driving characteristic information storage unit 105 is a set of driving characteristic information.
This set of driving characteristic information is a set of driving characteristic information corresponding to the driving conditions for each driver. The traveling condition is road environment information for each route in the present embodiment. The road environment information itself may be used as the driving condition. In this case, similar road environment information routes are treated as the same travel conditions.

  Here, for example, at least a part of the set of driving characteristic information stored in the driving characteristic information storage unit 105 may use a driving characteristic evaluation result using an evaluator at a driving school or the like. -You may use the evaluation result of the software for driving characteristic evaluation using the computer or the information terminal in a vehicle. However, since it is not the driving characteristic information when traveling on each actual route, it is preferably set as the driving characteristic information of the route that approximates the driving condition set in the evaluator or the like.

The driving characteristic information may be stored in the driving characteristic information storage unit 105 instead of driving aptitude information.
Further, it is possible to wirelessly communicate with the server 110 via the communication unit 107 and download and use the probe information of the driver having various driving evaluations from the server 110. Information stored in the own vehicle may be uploaded to the server 110. Alternatively, only necessary data may be downloaded from the server 110.

  The driver identification unit 102 is a device that identifies the driver D sitting on the driver's seat. The driver identifying unit 102 includes, for example, a camera capable of photographing the driver D, and refers to the driver D information registered in advance in the storage unit from the feature points of the driver D extracted from the captured image of the camera. Identify person D. The driver identifying unit 102 may identify the driver D by applying a known recognition system that can specify a person such as a fingerprint authentication system.

  The destination recognition unit 103 is a device that recognizes the destination of the driver D. The destination recognition unit 103 includes, for example, a destination input device mounted in the vehicle. The destination input device is composed of, for example, a touch panel or a voice recognition device. And the destination recognition part 103 recognizes the place input from the destination input device as a destination. The destination recognizing unit 103 estimates the destination from the time when the driver D is identified and the current position information based on the driving history for each driver D held by the driving history holding unit 202, and the estimated destination. The destination may be a recognized destination. At this time, when the destination recognition unit 103 performs statistical processing to estimate a plurality of destinations, the destination recognition unit 103 recognizes the destination by displaying the estimated destination on the display unit and allowing the driver D to select the destination. You may do it. The display unit may use the display unit of the navigation device.

  The driving aptitude evaluation acquisition unit 104, based on the set of driving characteristic information stored in the driving characteristic information storage unit 105, from the driving characteristic information corresponding to the driver D identified by the driver identification unit 102, the driver. This is a program for evaluating the driving suitability of D. The driving aptitude evaluation acquisition unit 104 stores the obtained driving aptitude evaluation of the driver D in a driver aptitude evaluation accumulating unit (not shown), and if a preset condition is satisfied, the driver aptitude evaluation accumulating unit (invalid The driving aptitude evaluation of the driver D stored in (shown) is updated.

The route recognition unit 204 is a program for recognizing a plurality of travel routes to the destination recognized by the destination recognition unit 103 and a plurality of routes constituting the travel route based on map data on the map DB. . In the present embodiment, links constituting each travel route are handled as routes. A plurality of links may constitute one route.
The route evaluation unit 108 is a program that evaluates the driving characteristics of each route as route evaluation based on the set of driving characteristic information accumulated in the driving characteristic information accumulation unit 105. The route evaluation unit 108 links the evaluation result to each corresponding route and stores it in the map DB 109 or other storage unit. If the update condition set in advance is satisfied, the route evaluation unit 108 recalculates the route evaluation and updates the stored evaluation result.

For example, the route evaluation unit 108 is based on the frequency distribution configured by the driving characteristic information in each route, and the route having a statistical distance in the frequency distribution is more than the route having a close statistical distance in the frequency distribution. Evaluate as a route with training effect.
In addition, for example, the route evaluation unit 108 evaluates a route having a large frequency distribution as a route having a training effect by comparing a route having a large frequency distribution with a route having a small frequency distribution based on the frequency distribution configured by the driving characteristic information in each route.

  The training route acquisition unit 112 includes a driving aptitude evaluation obtained by the driving aptitude evaluation acquisition unit 104, a plurality of travel routes recognized by the route recognition unit 204, a plurality of routes constituting the travel route, and the route evaluation unit 108. Is a program that selects a training route based on the evaluation information of each route evaluated by. That is, the training route acquisition unit 112 performs route evaluation on at least a part of the plurality of routes recognized by the route recognition unit 204 and driving aptitude evaluation of the driver D identified by the driver identification unit 102. From the above, a route serving as driving training for the identified driver D is estimated. Then, the training route acquisition unit 112 selects one or two or more traveling routes that pass through at least a part of the estimated routes from the plurality of traveling routes recognized by the route recognition unit 204 and selects them as a training route. .

  At this time, for example, when the training route acquisition unit 112 selects a training route based on the estimated route, the training route acquisition unit 112 is within a range that falls within a predetermined deviation from the normal traveling route obtained by the normal traveling route acquisition unit 203. Select a training route. For example, it is set so that a preset number of routes out of the routes constituting the normal travel route are included, or the distance difference between the travel distance of the normal travel route and the training route is equal to or less than a predetermined value. Select a route. In addition, the training route acquisition unit 112, for example, includes a route that includes a route having a training effect as much as possible, where the distance difference between the normal driving route and the training route is equal to or less than a preset value. Set as.

Further, the training route acquisition unit 112 may estimate a route for driving training of the driver D identified by the driver identification unit 102 according to the transition of the evaluation result of the driving aptitude evaluation acquisition unit 104. That is, when there is no change in the value of the driving aptitude evaluation set in advance, the training route changing process selected so far is performed.
The training route presentation unit 113 notifies the driver D of the training route by displaying the selected one or more training routes on the display unit of the navigation device. The training route presentation unit 113 may notify the training route by voice.

The training route selection unit 111 is a device that allows the driver D to select the training route presented by the training route presentation unit 113.
The training route presentation unit 113 and the training route selection unit 111 use, for example, a navigation system installed in the vehicle or voice synthesis, and a driver D uses a switch mounted on a touch panel or steering, a voice recognition device, or the like. The training route is selected and configured.

Here, examples of the driving aptitude evaluation include (1) simple reaction inspection, (2) selective reaction inspection, (3) side warning inspection, (4) accelerator reaction inspection, and (5) brake reaction inspection. . These are in accordance with the items of the driving aptitude test for diagnosing the aptitude test carried out at the driving safety driving center or driving school.
Hereinafter, a specific description of the contents of each inspection item and what kind of vehicle information of which road environment is used for each inspection item will be described. Here, the road environment information is the driving condition. The vehicle information is in particular driving operation information by the driver D and is information for specifying driving characteristic information.

(1) Simple reaction inspection The simple reaction inspection is an inspection item for evaluating whether a visual stimulus can be dealt with instantaneously and correctly. For example, on a road with a high speed limit and a high traffic volume, it is necessary to correctly cope with changes in surrounding vehicle behavior. Therefore, by using the brake reaction time of the vehicle when traveling on such a road and the time information of TTC (Time to Collision) with the preceding vehicle, it is possible to perform a simple reaction evaluation and training of the driver D. I think.

(2) Selection reaction inspection The selection reaction inspection is an inspection item for evaluating the speed and accuracy of the selection reaction operation. For example, on roads such as intersections of multiple lanes, it is necessary to select and react to one's own actions according to signal information, such as being able to travel only on left or straight, or only on right. Therefore, the selection reaction evaluation and training of the driver D can be performed by using information on the accelerator reaction speed and the brake reaction speed of the vehicle traveling on such a road.

(3) Side warning inspection The side warning inspection is an inspection item for evaluating attention concentration and dispersion ability with respect to the driver D's central vision and peripheral vision information. For example, on roads where many pedestrians and bicycles travel, such as narrow roads and school zones, it is necessary to correctly determine the peripheral vision information passing through the sidewalk while monitoring forward with central vision. Therefore, side warning evaluation and training of the driver D can be performed by using information on the brake reaction time and the steering angular acceleration of the vehicle traveling on such a road.

(4) Accelerator reaction inspection The accelerator reaction inspection is an inspection item for evaluating whether the distance adjustment with the preceding vehicle can be performed quickly and accurately. For example, on a road that repeats Stop & Go, such as an intersection, it is necessary to quickly and accurately determine the behavior of traffic lights and vehicles ahead and operate the vehicle. Therefore, by using the inter-vehicle distance information with the preceding vehicle on such a road, the driver D's accelerator reaction evaluation and training can be performed.

(5) Brake reaction inspection As with the accelerator response inspection described above, it is necessary to quickly and accurately determine the behavior of the traffic light and the vehicle ahead and operate the vehicle. Therefore, the brake reaction evaluation and training of the driver D can be performed by using the brake reaction time of the vehicle traveling on such a road and TTC (Time to Collation) with the preceding vehicle.

In this way, not all road environment information and all driving characteristic information are used, but brake reaction time, TTC information and steering when driving on roads with intersections, narrow narrow roads, curves, etc. It is possible to efficiently acquire driving characteristic information correlated with the driving aptitude evaluation result by collecting only the information on the place where road environment information and driving characteristic information correlate, such as driving characteristic information such as angular acceleration information. it can.
Further, road information and driving information that statistically contribute to driving aptitude items may be extracted using all road information and all driving characteristic information.

Next, a method performed by the driving aptitude evaluation acquisition unit 104 to calculate the driving aptitude value (driving aptitude evaluation) of the driver D from the driving characteristic information will be described.
The driving aptitude evaluation acquisition unit 104 determines that the driving aptitude frequency distribution (path evaluation information) of the driver D and the driving aptitude frequency distribution (path evaluation information) on the path when traveling on each path (link in this embodiment) The driving suitability value of the driver D is obtained. For example, by using the existing Mahalanobis distance as a statistical distance, the driving aptitude frequency closest to the distance is calculated from the driving characteristic value, and the calculated driving aptitude frequency is set as the driving aptitude value of the driver D. As the statistical distance, an average value or a distance to the mode value of each driving aptitude frequency distribution may be used (see FIG. 10).

  Further, when determining the driving aptitude value of the driver D, the driving aptitude evaluation acquisition unit 104 may determine the driving aptitude value of the driver D from only the driving characteristic value when traveling on one determined route. As a result of traveling on a plurality of routes, the average value, the mode value, the minimum value, etc. of the driving suitability values that can be obtained on each route are obtained by driving the driver D. It is good also as an aptitude value (the lower figure method 2 of FIG. 10).

Next, a route evaluation method in the route evaluation unit 108 will be described with reference to FIG.
The frequency distribution representing the relationship between the driving characteristic information and the driving evaluation result obtained from the information obtained by collecting and storing the driving characteristic information of each driver D has various shapes. For example, there are cases where the level frequency distributions of each driving aptitude evaluation overlap as shown in the left figure of FIG. 3, and there are cases where the level frequency distributions of each driving aptitude evaluation do not overlap as shown in the right figure of FIG. .

When the frequency distributions overlap, it is indicated that the driver D having a high level of driving aptitude evaluation and the driver D having a low level of driving aptitude are performing similar driving actions on the route. Such a route can be used as a route for a training route by observing the frequency distribution in detail.
On the other hand, when the frequency distributions do not overlap, it indicates that the driving behavior when traveling on the route differs according to the level of the driving suitability evaluation result. By using the result in reverse, it is possible to estimate the driving suitability evaluation from the driving information at the time of traveling on the route.

Next, the training route use determination criteria in the route evaluation unit 108 will be described with reference to FIG.
As described above, by collecting the driving characteristic information for each route, each route can be classified into a route suitable for training and a route for confirming the training effect. Further, among the routes suitable for training, when the frequency distribution varies in each level, the route suitable for each driver D can be selected based on the difference in frequency distribution.

  For example, as shown in the upper left and upper right diagrams of FIG. 4, when there is a statistically large difference in the frequency distribution between the driving aptitude evaluation 2 and the driving aptitude evaluation 3, for the driver D whose driving aptitude test is 2, This is considered as a route with a large allowance for improvement of driving ability up to the level of driving aptitude test 3 to be performed. Therefore, it can be said that a training route suitable for the driver D can be obtained by selecting a route having a large distance to the target level. For the statistical distance calculation method, the existing Mahalanobis distance may be used, or the average value or the mode value distance of each frequency distribution may be used.

  Further, for example, when there is a large difference in the frequency distribution of the driving aptitude evaluation 3 as shown in the lower left and lower right diagrams of FIG. 4, the main vehicle of the constituent vehicles traveling on the route is the target driving It is a driver D of aptitude evaluation 3. Therefore, it can be said that for the driver D of the driving aptitude evaluation 2, driving is performed in the traffic amount of the route as shown in the lower left of FIG. Therefore, it can be said that a training route suitable for the driver D can be obtained by selecting a route having a frequency distribution with a target level larger than that of other routes.

  In addition, in various routes, there are frequency distributions in a well-organized format as shown in FIG. 4 and irregular frequency distributions. When there is no correlation between the driving aptitude evaluation and the driving information, the frequency distribution as shown in FIG. 5 is obtained and cannot be used as training. However, as shown in the right of FIG. 5, when the target level frequency distribution is large, there are many target levels in the group of vehicles constituting the same under the same conditions as before, so that it can be used as a training route.

  In addition, when the travel information cannot be acquired on the route and the frequency distribution cannot be formed, the elements constituting the road, such as the traffic volume and the number of lanes per hour, the road width, the maximum speed, the road gradient, the road curvature, the walking Routes with similar environmental factors, such as the presence or absence of a person. Then, based on the extracted evaluation result of the route, the frequency distribution in the route in which the travel information cannot be acquired and the frequency distribution cannot be formed may be estimated.

Next, a processing example of the in-vehicle driving recognition training device in the present embodiment will be described with reference to FIG. The in-vehicle driving recognition training device operates at a preset control cycle.
Here, the in-vehicle driving recognition training device performs the following processes when the driver identifying unit 102 identifies the driver D, for example. When the driver D activates the vehicle, the in-vehicle driving recognition training device may be activated. In the following processing, processing after the driver identifying unit 102 identifies the driver D will be described.

First, in step S201, it is determined whether the destination recognition unit 103 has acquired destination information. If the destination information can be acquired, the process of step S202 is executed.
In step S202, the route recognition unit 204 calculates a plurality of routes from the current location to the destination with respect to the destination information acquired in step S201. When the calculation is completed, the process of step S203 is executed.

In step S203, the driving aptitude evaluation acquisition unit 104 determines whether or not the driving aptitude evaluation of the driver D has been calculated. If the driver D has the driving suitability evaluation value, the process of step S204 is executed. Otherwise, the process proceeds to step S209 for having a driving suitability evaluation value.
In step S204, the vehicle-mounted driving recognition training device presents training items. And the training item which the driver | operator D performs is selected. For example, the driver D selects the lowest score among the items of the driving aptitude evaluation, and the item that the driver D is not good at. After selecting a training item, the process of step S205 is executed. This is displayed on a display unit or the like of the navigation device so that the driver D can select it.

In step S205, the in-vehicle driving recognition training device determines how much the driving driving item is currently implemented for the selected driving aptitude item. If the number of executions exceeds a threshold value n (for example, n = 5), the process proceeds to step S209 to confirm the training effect. If the threshold is not exceeded, the process proceeds to step S206.
In step S206, it is determined whether or not there is a training route suitable for the driver D. The training route acquisition unit 112 selects a training route. If there is a training route for training the selected driving aptitude item from among the plurality of calculated routes, the process proceeds to step S207. On the other hand, if there is no training route, the process proceeds to step S208.

In step S207, the training route presentation unit 113 presents a driving training route to the driver D. If there are a plurality of routes, one of them is selected and presented, or some effective tops are presented, and the process of step S210 is executed.
In step S208, the travel route through which the identified driver D passes most is obtained as a normal travel route among the past travel routes toward the destination based on the information held by the travel history holding unit 202. Then, the obtained normal travel route is presented to the driver D. Alternatively, when there is no route suitable for the driver D among the routes obtained in step S202, a route with the shortest distance, a route with priority on general roads, or the like is presented. Thereafter, the process proceeds to step S210.

On the other hand, in step S209, the in-vehicle driving recognition training device presents a route for diagnosing driving aptitude evaluation. A route that passes the route for driving diagnosis in the route to the destination is presented. Thereby, the training result of the driver D can be confirmed. In addition, by appropriately updating the driving aptitude evaluation, it is possible to present a training route that matches the current driving ability of the driver D.
Here, the route for driving diagnosis is selected based on the route evaluation of each route.

  In step S210, the driver D can select the route presented by the system. For example, if there is a motivation for the driver D to carry out driving training for a normal route, the presented driving training route may be selected. In addition, if there is motivation to confirm his / her driving suitability evaluation, a driving diagnosis route may be selected. None of the routes are attractive, and if you want to select a normal route, you can also select a normal route. As described above, a plurality of routes such as a training route for training the driving suitability of the driver D, a diagnostic route for confirming the driving suitability of the driver D, and a normal route are selected from the routes calculated in step S210. By presenting, it becomes possible to select according to the current state of the driver D. Driver D selects a route.

In step S211, the driver D arrives at the destination.
Here, the process of step S210 and S211 has described the action which the driver | operator D implements with respect to the process of a vehicle-mounted driving recognition training apparatus instead of the process of a vehicle-mounted driving recognition training apparatus.
In step S212, when the in-vehicle driving recognition training device determines that the vehicle has reached the destination, if the driving route is a driving diagnosis route, the driving aptitude evaluation is performed on the driving characteristic information during driving. The evaluation result of the driver D is updated. The updating of the driving aptitude evaluation may be performed only by the driving aptitude evaluation obtained from the driving characteristic information at the time of the current driving, and the driving aptitude evaluation based on the driving characteristic information of the driver D accumulated so far is also taken into consideration. May be updated.

(Operation example)
It is assumed that the route recognition unit 204 recognizes a plurality of travel routes from the current location 1 to the destination 8 as shown in FIG. 6 based on the destination information recognized by the destination recognition unit 103. LXX is evaluation information of routes (links) constituting each travel route. That is, FIG. 6 is an example in which a route is set for each link. A link is a minimum unit constituting road information of map data.
The route information that is the evaluation result of each route is as follows.
LXX (Ah)
A: Driving aptitude evaluation item No: Discrimination value for training / effect confirmation or driving diagnosis U: Appropriate value for training target E: Strength of training effect (Increased strength indicates more effective)
It is.

That is, the route evaluation unit 108 obtains the route information that is the evaluation result of each route for each link (route).
Here, it is assumed that the identified driver D usually travels via waypoints (nodes) 3 and 6 when moving from the departure place 1 to the destination 8. That is, the route that passes through L13, L36, and L68 is the normal travel route.
At this time, if the training acquisition unit determines that L35 is a link (route) having a high training effect for the identified driver D, the route passing through the route of L35 is selected as the training route. In addition, a travel route that passes through the normal travel route and whose distance from the current location to the destination is close to the normal travel route is selected as a training route.

That is, as shown in FIG. 7, a route that passes through L13, L35, and L58 is selected as a training route.
In this way, by presenting a route that passes through the waypoint 5 (node 5) with respect to the normal normal travel route, the driver D travels on the L35 route (link) with a high training effect. It is possible to present a route having a higher training effect than the route of. In addition, it is possible to reduce the driver's anxiety about training by presenting a route slightly deviating from the usual route as a training route.

  Alternatively, the training acquisition unit selects a training route that passes L14, L47, and L78, which are routes with a high training effect, as shown in FIG. In other words, by presenting a route that goes through points 4 and 7 within a predetermined distance range with respect to a normal travel route, routes (links) L14, L47, and L78 having a high training effect can be shown to the driver D. Because it runs, the training effect is high compared to the normal route. At this time, by limiting the predetermined distance and time with respect to the usual route and calculating the training route in the route, it is possible to reduce driver D's anxiety about training.

  In addition, as shown in FIG. 9, the in-vehicle driving recognition training device can perform driving evaluation diagnosis for a driver D who has trained a training route a plurality of times or does not have a driving suitability value itself. A route passing through L25 and L58 is selected as a route for driving diagnosis. That is, by presenting the route passing through the waypoints 2 and 5, the driver D travels on the links L25 and L58 where the driving evaluation diagnosis can be performed, so the driving evaluation diagnosis such as the confirmation of the training effect is performed. be able to.

  As described above, the in-vehicle driving recognition training device of the present embodiment uses the route evaluation of each route obtained from the collection of various driving characteristics information of the driver D and the driving suitability evaluation of the target driver D. To do. The in-vehicle driving recognition training device uses these to present, for example, a training route including an appropriate route for driving training for an item of the driving aptitude evaluation that the driver D is not good at. It becomes possible. As a result, the driving ability of the driver D can be improved. In the above embodiment, an example in which the driver D is selected as the item of driving aptitude evaluation is shown. However, the in-vehicle driving recognition training device may automatically estimate the weak item.

  Further, it is possible to set the training route in more detail by evaluating the link, which is the finest road unit on the map data, as a route unit and calculating the training route using the evaluation result. As a result, for example, it is possible to select a training route that passes a route having a training effect while keeping the deviation range from the usual traveling route small. In this case, it becomes possible to reduce the driver's anxiety about training.

In addition, by calculating the route for driving diagnosis, it is possible to more reliably check the training effect of the driver D and perform the driving suitability evaluation.
Further, the route evaluation unit 108 evaluates what kind of training is suitable for each route. Among the routes, there are routes suitable for confirming the training effect or for evaluating the driver D whose driving suitability evaluation has not been evaluated. By driving along these routes, the current driver D can be obtained. It is possible to measure the state of the driving aptitude evaluation.

  Here, after confirming the training effect and confirming that the driving characteristics of the driver D change more than a certain level, the driving aptitude evaluation of the driver D is updated, and a different training route is selected or another poor driving aptitude. You may make it choose the route for training. Further, if a change in the driving characteristics of the driver D cannot be confirmed, the training route may be determined as an inappropriate route for the driver D, and a route traveling on another link may be presented. As described above, training and diagnosis are appropriately performed, and the training route is dynamically selected, so that it is possible to perform training according to the current state of the driver D.

  Here, the driver identification part 102 comprises a driver identification means. The destination recognition unit 103 constitutes a destination recognition unit. The route recognition unit 204 constitutes route recognition means. The route evaluation unit 108 constitutes route evaluation means. The training route acquisition unit 112 constitutes a training route acquisition unit. The training route presentation unit 113 constitutes training route presentation means. The normal travel route acquisition unit 203 constitutes a normal travel route acquisition unit.

(Effect of this embodiment)
(1) The driver identification unit 102 identifies the driver D. The destination recognition unit 103 recognizes the destination. The route recognition unit 204 recognizes a plurality of travel routes to the destination recognized by the destination recognition unit 103 and a plurality of routes constituting the travel route based on the map data. The route evaluation unit 108 evaluates the driving characteristics of each route on the basis of a set of driving characteristic information corresponding to preset driving conditions for each driver D. The driving aptitude evaluation acquisition unit 104 obtains the driving aptitude evaluation of the driver D identified by the driver identification unit 102 based on the set of driving characteristic information. The training route acquisition unit 112 is evaluated by the route evaluation unit 108 for the driving suitability evaluation obtained by the driving suitability evaluation acquisition unit 104 and at least a part of a plurality of routes recognized by the route recognition unit 204. Based on the route evaluation information, a route serving as driving training for the driver D identified by the driver identifying unit 102 is estimated, and one or more traveling routes are selected as training routes based on the estimated route. The training route presentation unit 113 presents one or more training routes obtained by the training route acquisition unit 112 to the driver D.

  The route suitable for the driver D can be estimated from the driving suitability evaluation of the target driver D and the route evaluation of the plurality of routes obtained from the driving characteristic information of the plurality of drivers D. As a result, it is possible to provide a training route that improves the driving behavior and driving ability of the driver D. That is, it becomes possible to further improve the driving behavior and driving ability of the driver D.

(2) The set of driving characteristic information is generated by acquiring driving characteristic information from driving histories during past driving for each driver D and accumulating the acquired driving characteristic information for each route that is a driving condition. To do.
Since the driving characteristic information obtained based on the actual traveling history in the vehicle is used, a set of accurate driving characteristic information can be used. That is, the accuracy of route evaluation and driving suitability evaluation is improved, and a more suitable training route can be presented accordingly.

(3) The route evaluation unit 108 determines a route having a statistical distance in the frequency distribution based on the frequency distribution configured by the driving characteristic information in each route from a route having a close statistical distance in the frequency distribution. Also evaluate as a training-effective route.
In the route where the driving characteristics of each driver D vary, the fact that there is a large statistical distance between the frequency distributions indicating the route evaluation indicates that there is a driving capacity improvement allowance corresponding to the distance. . For this reason, driving ability can be improved more by selecting the course in which the distance to the target driving aptitude evaluation result is long.

(4) The route evaluation unit 108 evaluates a route having a large frequency distribution as a route having a training effect by comparing a route having a large frequency distribution with a route having a small frequency distribution based on the frequency distribution configured by driving characteristic information in each route. .
In the route where the driving information of each driver D varies, the fact that the frequency distribution of a certain driving characteristic is large is evaluated based on the driving characteristic information of many drivers D having driving suitability results corresponding to the driving characteristic. It represents being done. Therefore, for the driver D having a driving aptitude evaluation different from the driving characteristics of many drivers D, driving ability is further improved by traveling on such a route in which the evaluation of many drivers D is clear. Can be made.

(5) The route evaluation unit 108 determines the road environment information and the road environment constituting the route as route evaluation for a route for which there is no driving characteristic information for evaluation or the number of driving characteristic information is smaller than a preset number. Use route evaluation of other routes that the information approximates.
In the association between the route evaluation and various driving characteristic information, the association may not be made for a part of the route information on the map. At this time, it is considered that the driving behavior is similar in the route having the same road environment information constituting the route, such as the maximum speed, the road shape, the vehicle traffic, and the presence or absence of a pedestrian. Therefore, more routes can be selected as effective routes for driving effects by using the driving aptitude and driving information data of routes that can approximate environmental factors from the already associated route information. In other words, the range of training routes to be selected becomes wider

(6) The route is set for each link constituting the road information of the map data.
As map information in a navigation device or the like, road information can be used in detail by collecting and analyzing the driving suitability evaluation and driving information of the driver D for each “link unit” of the minimum unit configured. . For example, it is possible to present a detailed route such as presenting a route several links away from the normal driving route of the driver D.

(7) The normal travel route acquisition unit 203 normally selects the travel route that has traveled most among the travel routes toward the destination of the driver D identified by the driver identification unit 102 based on the past travel history. As a travel route. When the training route acquisition unit 112 selects a training route based on the estimated route, the training route acquisition unit 112 selects a training route within a range that is within a predetermined deviation from the normal traveling route obtained by the normal traveling route acquisition unit 203. Select.
For the route to the destination, for the driver D, it is usual for the driver D to adopt an environment in which the driver D usually travels, for example, a route that is configured within a certain range from the route that the driver is used to and the required time. The route is shown slightly off the route. As a result, driver D's anxiety about training can be reduced.

(8) The training route acquisition unit 112 estimates a route serving as driving training for the driver D identified by the driver identification unit 102 in accordance with the transition of the evaluation result of the driving aptitude evaluation acquisition unit 104.
When the driving suitability result of the driver D is updated, the route to be selected can be changed. In addition, for example, a different route can be presented to the driver D whose driving suitability evaluation does not improve even though many trainings are performed.

DESCRIPTION OF SYMBOLS 102 Driver identification part 103 Destination recognition part 104 Driving aptitude evaluation acquisition part 105 Driving characteristic information storage part 106 Vehicle signal acquisition apparatus 107 Communication part 108 Path evaluation part 110 Server 111 Training route selection part 112 Training route acquisition part 113 Training route presentation Unit 201 driving characteristic information acquisition unit 202 travel history holding unit 203 normal travel route acquisition unit 204 route recognition unit D driver

Claims (8)

A driver identification means for identifying the driver;
Destination recognition means for recognizing the destination;
Based on map data, route recognition means for recognizing a plurality of travel routes to the destination recognized by the destination recognition means, and a plurality of routes constituting the travel route;
Route evaluation means for evaluating driving characteristics of each route based on a set of driving characteristic information corresponding to driving conditions set for each driver in advance;
Based on the set of driving characteristic information, driving aptitude evaluation acquisition means for obtaining driving aptitude evaluation of the driver identified by the driver identification means;
The driver identification based on the driving aptitude evaluation obtained by the driving aptitude evaluation acquisition means and the route evaluation information evaluated by the route evaluation means for at least some of the plurality of routes recognized by the route recognition means. Training route acquisition means for estimating a route for driving training of the driver identified by the means, and selecting one or more traveling routes as training routes based on the estimated route;
Training route presenting means for presenting the driver with one or more training routes obtained by the training route obtaining means;
An in-vehicle driving recognition training device comprising:   The set of driving characteristic information is generated by acquiring driving characteristic information from past driving histories for each driver and accumulating the acquired driving characteristic information corresponding to a route that is a driving condition. The in-vehicle driving recognition training device according to claim 1.   The route evaluation means is based on the frequency distribution configured by the driving characteristic information in each route, and the training effect is more effective than the route having a statistical distance in the frequency distribution. The vehicle-mounted driving recognition training device according to claim 1 or 2, wherein the vehicle-mounted driving recognition training device is evaluated as a certain route.   The route evaluation means evaluates a route having a large frequency distribution as a route having a training effect by comparing a route having a large frequency distribution with a route having a small frequency distribution based on the frequency distribution configured by driving characteristic information in each route. The on-vehicle driving recognition training apparatus according to any one of claims 1 to 3.   The route evaluation means approximates the road environment information and the road environment information constituting the route as route evaluation for a route for which there is no driving characteristic information for evaluation or the number of driving characteristic information is smaller than a preset number. The vehicle-mounted driving recognition training device according to any one of claims 1 to 4, wherein route evaluation of another route is used.   The in-vehicle driving recognition training device according to any one of claims 1 to 5, wherein the route is set for each link constituting road information of map data. Based on the past travel history, it comprises a normal travel route acquisition means for obtaining a travel route that has traveled the most as a normal travel route among the travel routes toward the destination of the driver identified by the driver identification means,
The training route acquisition unit selects a training route within a range that falls within a preset deviation from the normal travel route obtained by the normal travel route acquisition unit when selecting a training route based on the estimated route. The in-vehicle driving recognition training apparatus according to any one of claims 1 to 6.   The said training route acquisition means estimates the path | route used as the driving training of the driver | operator identified by the said driver identification means according to transition of the evaluation result of a driving aptitude evaluation acquisition means. The in-vehicle driving recognition training device according to claim 7.

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