JP4766397B2 - Vehicle navigation apparatus and program - Google Patents

Description

  The present invention relates to a vehicle navigation apparatus and program that learns the shape of an intersection where a route error has occurred and switches guidance according to the learning state.

2. Description of the Related Art Conventionally, a system has been proposed in which information relating to an intersection where a driver has made a mistake in a route is recorded and guidance is emphasized for an intersection that is the same as or similar to the intersection that has made a mistake in the subsequent route guidance (Patent Document 1).
JP 2004-333467 A

  In Patent Document 1, it is possible to sufficiently eliminate the technical and mental burden of a driver when passing through an intersection of a difficult shape only by highlighting the guidance for an intersection shape that is easily mistaken by the driver. Can not.

An object of the present invention is to solve the above-mentioned problems, and it is an object of the present invention to learn a shape of an unsatisfactory intersection and provide an optimal guide or route according to the learning state.
The present invention relates to a vehicle navigation apparatus that searches and guides a route to a destination, and is necessary for input guidance for inputting a destination, current position detection means for detecting a current position, and route guidance including road data. Information storage means for storing data, road search means for reading road data from the information storage means, searching for a route from the current position to the input destination, and learning means for learning an intersection shape in which a route error has occurred If the learning state is less than or equal to a predetermined value at the intersection of the shape that caused the route error, guidance is given to alert, and if the learning state is greater than the predetermined value, the intersection of that shape is avoided. And a control means for guiding a route.
According to the present invention, in a program for controlling a vehicle navigation device that searches and guides a route to a destination, a step of detecting a current position of the vehicle, road data in an information storage means is read out, and input from the current position. If the learning state is less than the predetermined value at the step of searching for the route to the destination, the step of learning the intersection shape that caused the route error, and the shape of the intersection that caused the route error, a guidance to call attention is given. And when the learning state is larger than the predetermined value, the computer is caused to perform a step of guiding a route that avoids the intersection of the shape.

  According to the present invention, it is possible to provide an optimal guidance and route by learning an unfavorable intersection shape and switching guidance according to the learning state.

Embodiments of the present invention will be described below.
FIG. 1 is a diagram illustrating an example of a navigation device according to the present embodiment. Input device 1 composed of a keyboard, mouse, touch panel, operation keys, etc. for inputting information on the starting point and destination, current position detecting device 2 for detecting information on the current position of the vehicle, map data, road data, intersection data, route Data for navigation necessary for search, display / speech guidance data necessary for route guidance, and programs (applications and / or OSs) for guidance such as map display, route search, voice guidance, etc. were stored Information storage device 3, route search means 4a for searching for the route to the input destination, learning means 4b for accumulating and learning the ratio and number of times of error for each shape of the intersection where the route is wrong, A control means 4c for switching guidance according to the state is provided, and as a navigator processing means, map display processing, route search processing, route The central processing unit 4 that performs necessary display / voice guidance processing and further controls the entire system, for example, information related to vehicle travel, such as road information and traffic information, and information on the current position of the vehicle is detected. Or an information transmitting / receiving device 5 that transmits / receives information related to the current position, and a display, a speaker, and other output devices 6 that output information related to route guidance. Here, the in-vehicle navigation device is equipped with an information storage device, a route search means, etc., but the information storage device, the route search means, etc. are provided not on the vehicle side but on the center side for distributing information. May be requested to acquire map data, road data, and a searched route.

FIG. 2 is an explanatory diagram of an intersection having a shape that is easily mistaken.
In general, T-junction and crossroads are less likely to cause a route error. For example, as shown in FIG. 2 (a), if the angle between branch roads is small and the direction is the same, either It is easy to get lost if you go to the fork. Further, as shown in FIG. 2 (b), even if it is a four-way road, a route error is likely to occur even when the road is not orthogonal. Furthermore, as in the case of a five-way crossing shown in FIG. 2C, it is easy for anyone to make a route mistake at an intersection where many roads intersect. Therefore, in the present embodiment, the intersection where the route error has occurred is learned by determining the number of mistakes and the wrong ratio for each shape, and the guidance is switched according to the learning state at the intersection that is easy to make an error, for example, a guidance to call attention If there is an easily mistaken intersection on the route, the search is performed again to guide a new route.

Next, the learning of the intersection shape in which a route error has occurred will be described.
FIG. 3 shows an example in which a point is attached for each shape of an intersection where a route error has occurred. When the route travels, it is determined whether or not the intersection has a point due to a mistake in the past (step S1). If it is an intersection with a point, it is determined whether or not the route is wrong (step S2). If the route is wrong, the intersection points of the same shape are added (step S4), and the route is traveled without mistake. Are subtracted from the intersection points of the same shape (step S5). Even when the intersection has no points, it is determined whether or not a route error has occurred (step S3). If a mistake is made, the points of the same shape are added, and if no mistake is made, the process is terminated. . In this way, the learning state can be known from the point value by adding or subtracting points for each shape at the intersection where the route error has occurred.

  FIG. 4 shows an example in which an error rate is calculated for each shape of an intersection where a route error has occurred. When the route travels, the intersection determines whether the ratio of the route error to the number of travels is 0 (step S11). If a route error has occurred in the past and the error rate is not 0, it is determined whether the route is incorrect at the intersection (step S12). If the route is wrong, 1 is added to the number of times of traveling at the intersection of the same shape and the number of mistakes to calculate the route mistake rate (step S14). If there is no mistake in the route, the error rate is calculated by adding 1 to the number of times the intersection has the same shape. Therefore, if the mistake is made, the ratio becomes small. Even if the error rate is 0 in step S11, it is determined whether or not the route is incorrect (step S13). If a route error occurs, the number of travels and the number of errors are added by 1, and the route error rate is calculated. In this case, the error rate is 100%. If there is no route mistake in step S13, the process ends.

FIG. 5 is a diagram illustrating a processing flow for switching guidance according to a learning state. Here, an example in which the learning state of a route error is evaluated by points will be described. Of course, the same applies to the case where the learning state is evaluated by an error rate.
A destination is set and route search is performed (steps S21 and S22). Next, it is determined whether there is a point at which a route error has been learned for a guidance intersection on the route (step S23). If there is no point (N in step S23), even if there is a point, the number is 2 or less (step S24Y). ), It is determined that the driver is not very weak or the intersection is in the shape of learning, and the usual guidance such as “Please turn left at the intersection” is given (step S25). . In step S24, when the number of points is 3 or more, it is determined whether or not the points are 3 to 5 (step S26). If the point is 3-5, it is assumed that the driver has not learned so much at the intersection of the shape that is relatively weak, for example, please proceed so as not to make a mistake in the direction of "..." The guidance for calling attention is given (step S27). If the point is larger than 3 to 5, it is determined that the driver is not very good at the intersection of this shape, and the search is performed again at the intersection of this shape, and the search is performed again. Guide the route to avoid. If it becomes a route that includes an intersection with a shape that is very weak even after re-searching, it will be unavoidable, so guidance will be given to call attention.

  In the re-search in step S28, a display such as “Do you want to re-search” is displayed on the guidance screen, and when the user selects the re-search, the avoidance route may be searched. In this case, it is desirable that the navigation device perform a re-search so that an avoidance route can be presented immediately when the user selects a re-search.

It is a block diagram which shows the example of the navigation apparatus which concerns on this embodiment. It is a figure explaining the intersection shape which is easy to make an error. It is a figure explaining learning of an intersection shape. It is a figure explaining learning of an intersection shape. It is explanatory drawing which switches guidance according to a learning state.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Input device, 2 ... Current position detection device, 3 ... Information storage device, 4 ... Central processing unit, 4a ... Route search means, 4b ... Learning means, 4c ... Control means, 5 ... Information transmission / reception device, 6 ... Output device .

Claims (4)

In a vehicle navigation apparatus that searches and guides a route to a destination,
An input means for inputting a destination;
Current position detecting means for detecting the current position;
Information storage means storing data necessary for route guidance including road data;
Route search means for reading the road data of the information storage means and searching for a route from the current position to the input destination;
Learning means to learn the shape of the intersection that caused the route mistake;
If the learning state is less than or equal to a predetermined value at an intersection with a shape that has caused a mistake in the route, guidance is provided to call attention, and if the learning state is greater than the predetermined value, a route that avoids the intersection of that shape is Control means for guiding ;
A vehicle navigation device comprising: Wherein when the learning condition is greater than the predetermined value, the vehicle navigation apparatus according to claim 1, characterized in that whether or not to guide a route to avoid the intersection of the shape by the user's selection. When the avoidance to the learning state to the path containing the intersection of the following shapes predetermined value, the control means according to claim 1 or 2, wherein the performing guiding draw attention at the intersection of said shape Vehicle navigation device. In a program for controlling a vehicle navigation device that searches and guides a route to a destination,
Detecting the current position of the vehicle;
Reading road data from the information storage means and searching for a route from the current position to the input destination;
Learning the shape of the intersection that caused the wrong route;
If the learning state is less than or equal to a predetermined value at an intersection with a shape that has caused a mistake in the route, guidance is provided to call attention, and if the learning state is greater than the predetermined value, a route that avoids the intersection of that shape is Steps to guide ,
A program that causes a computer to execute.

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