JP2002298148A - Method and program for correcting map data - Google Patents

Abstract

PROBLEM TO BE SOLVED: To correct the map data with high accuracy. SOLUTION: A center server 3 comprises a reception unit 31 which acquires the time series position data measured by a plurality of mobile bodies 1 and stores it in a traveling route DB 32, a comparison unit 33 which calculates the difference between the predetermined position in the map data stored in the map data DB 34 and the position corresponding to the predetermined position in the map data and obtained from the time series position data stored in the traveling route DB 32, and stores the difference in the storage unit, a means 35 which calculates the typical value of the difference for each of the predetermined position in the map data and stores it in the storage device, and a means 35 which corrects the predetermined position in the map data using the typical value of the difference and stores the corrected position data in the map data DB 34. By calculating the typical value of the difference from the map data, the error can be canceled statistically, and the map data can be corrected by the correcter data.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for correcting map data using positioning data obtained by a moving body.

[0002]

2. Description of the Related Art For example, Japanese Patent Application Laid-Open No. Hei 10-289396 discloses a method for controlling the speed of an automatic transmission of a vehicle based on road data. Disclosure of processing. That is, when the current position deviates from the position on the road data, the navigation device of the vehicle transmits the deviated position to the base station. When the correction data is transmitted from the vehicle, the base station corrects the map data based on the transmitted data.

[0003]

In this publication, since the difference between the vehicle and the map is calculated, the processing load on the vehicle is large. Further, since the invention is for controlling an automatic transmission, a difference in curvature of a curve on a road is a problem. In addition, since the main purpose is to detect a road modification in which road data is significantly changed, the road data is not corrected unless the same road correction data is collected in a predetermined number or more. However, there are cases where a map is created using incorrect position data when the map is created, even if the road is not actually repaired. Even in such a case, the map data should be corrected. The measurement value always includes an error, and it is considered that a situation in which a predetermined number or more of the same road correction data is collected as in this publication does not occur very much. Particularly, in the case where the road data is finely adjusted, it is considered that almost no correction is made in this publication.

Accordingly, an object of the present invention is to provide a technique for correcting map data with high accuracy.

Another object of the present invention is to provide a technique for acquiring more position information.

[0006]

A map data correction method according to the present invention obtains time-series position data measured by a plurality of moving bodies (for example, vehicles; for example, the moving body 1 in the embodiment). Acquisition step (for example, step S11 in the embodiment: FIG. 4) stored in the sequence position data storage unit (for example, the travel route DB 32 in the embodiment)
And a predetermined position in the map data stored in the map data storage unit (for example, the map data DB 34 in the embodiment) and a predetermined position in the map data, and stored in the time-series position data storage unit. Step of calculating a difference from a position obtained from time-series position data and storing the difference in a storage device (for example, step S13 in the embodiment: FIG. 4)
And a representative value of the difference for each predetermined position in the map data (for example, a simple average or a weighted average indicating an average tendency of the distribution)
Is calculated and stored in a storage device (for example, step S15 in the embodiment: FIG. 4), and when the representative value of the difference exceeds a predetermined criterion, a predetermined position in the map data is stored in the map data. Correcting using the representative value and storing the corrected position data in the map data storage unit (for example, step S17 in the embodiment: FIG. 4).

According to the present invention, the error can be statistically canceled by calculating the representative value of the difference from the map data, and the map data can be corrected with more accurate data. become.

[0008] Further, based on the time-series position data stored in the time-series position data storage section, the moving distance is totaled for each moving object, and the moving distance is stored in a storage device (for example, step S23 in the embodiment). : FIG. 8) and a step of performing a process for granting a predetermined privilege to the holder of the moving object based on the calculated moving distance (for example, the process of FIG. 12). It is possible. A benefit according to the distance traveled is given as a price for cooperating with the map data correction.

Further, in the above-mentioned moving distance totaling step, based on the time-series position data,
A configuration is also possible in which the new route travel distance and the same route travel distance that has already passed have been added with a predetermined weight. For example, the movement distances are calculated by calculation such as new path movement distance × A + same path movement distance × B. Here, A and B are weights, for example, A = 1
And B = 0. This is because obtaining the road data over a wide area evenly helps to correct the map data.

Further, based on the time-series position data stored in the time-series position data storage unit, the number of moving objects in each predetermined section of the road is counted for a predetermined time period and stored in a storage device (for example, Step S in the form of
91: FIG. 14) is also possible.
As a result, it becomes possible to grasp the traffic volume for each road and calculate the amount of change with time.

As the representative value, an average value such as a simple average or a weighted average, or a value representing a central tendency of distribution, such as a median value or a mode value, used in statistical processing is used.

The map data correction method of the present invention can be implemented by a program for implementing the map data correction method. In this case, the program includes, for example, a floppy (registered trademark) disk, a CD, and the like. -RO
M, a magneto-optical disk, a semiconductor memory, a hard disk or other storage medium or storage device. The program may be transmitted via a network.
The data being processed is temporarily stored in the memory of the computer.

[0013]

FIG. 1 shows a schematic diagram of a system according to an embodiment of the present invention. For example, a plurality of mobile bodies 1 such as automobiles are, for example, GPS (Global Positioning
m) A position information acquisition unit 11 that measures its own position with the lapse of time using a signal from the satellite 5 and the like, and travel route data that stores the position information acquired by the position information acquisition unit 11 in time series. It includes a file 15 and a transmission unit 13 that transmits the content of the travel route data file 15 regularly or irregularly. The mobile unit 1 is not limited to an automobile, and may be, for example, a bicycle or a person holding at least a device including the position information acquisition unit 11 and the travel route data file 15. Further, the transmission unit 13 may be a device that connects to a mobile phone or a PHS (Personal Handyphone System) phone to transmit information.

In the present embodiment, the transmitting unit 13 of the mobile unit 1
Transmits the information in the travel route data file 15 to the wireless base station 7 wirelessly, and the wireless base station 7 transfers the information to the center server 3 via a wired network such as a public line network 9. .

However, a configuration in which the information in the travel route data file 15 is directly transmitted from the transmission unit 13 of the mobile unit 1 to the center server 3 or the radio base station 7 transmits the information to the center server 3 may be used. The configuration may also be such that transmission to the device is performed not by wire but by wireless communication. Further, when the mobile unit 1 includes a device capable of reading and writing from / to a certain recording medium, the information of the travel route data file 15 is written on the recording medium, and the recording medium is stored in the center. A configuration in which the mail is sent to the center operator who operates the server 3 may be used. Instead of transmitting the information from the mobile unit 1 to the center server 3, the information of the travel route data file 15 stored in the recording medium is read by another computer and transmitted from the other computer to the center server 3. The configuration may be as follows. Further, the GPS is an example, and may be configured to measure position information by another method.

The center server 3 is, for example, a public network 9
The receiving unit 31 receives travel route data (time-sequential position data) sent from each mobile unit 1 via the mobile unit 1 and registers it in the travel route DB 32, and stores travel route data sent from each mobile unit 1 A traveling route DB 32, a map data DB 34 for storing position information of each point on the road, and the corresponding position data in the traveling route DB 32 obtained by the map data and the position data of each point in the map data DB 34. It includes a comparison unit 33 for comparison, and a correction unit 35 for correcting the position data of each point on the road based on the comparison result of the comparison unit 33. These processing units can correct the map data.

Further, the center server 3 stores a travel route DB
32, the traveling performance data of each mobile unit 1 is generated,
A traveling distance processing unit 51 stored in the traveling result data file 52, a traveling result data file 52 storing the traveling result data of each mobile unit 1 generated by the traveling distance processing unit 51, and a traveling result data file 52 The mileage accumulating unit 53 generates the accumulated mileage data of each mobile unit 1 with reference to, and stores the accumulated mileage data in the accumulated mileage data file 54.
A cumulative travel distance data file 54 storing the cumulative travel distance data of each mobile unit 1 generated by the travel distance accumulation unit 53; and referring to the cumulative travel distance data file 54 for the user of the mobile body 1 and the like. A user service processing unit 55 that performs processing for the service. Thereby, it is possible to execute processing for granting a privilege to the user of each mobile unit.

Further, the center server 3 refers to the actual driving data file 52, sums up the traffic volume of each road section, for example, on an hourly basis, and stores the total in the traffic data file 73. Unit 71, a traffic volume data file 73 for storing traffic volume data compiled by the driving performance processing unit 71, and a traffic volume processing unit for collecting traffic volume data in predetermined units with reference to the traffic volume data file 73. 75. Thereby, it becomes possible to grasp or estimate the traffic volume for each road and each time.

The center server 3 may realize the functions described above with one computer, or may realize the functions described above with a plurality of computers. In addition, computer programs and ordinary computer
It may be realized by a combination of hardware or a dedicated electronic circuit.

Next, the processing in each mobile unit 1 will be described with reference to FIG. The position acquisition unit 11 of the moving body 1
When the vehicle starts to move, automatically or in response to an instruction from the user of the mobile unit 1, the traveling position information is periodically acquired and registered in the traveling route data file 15 together with the time information (step S1). The data format stored in the travel route data file 15 is, for example, as shown in FIG. That is, the mobile object code and the time (year / month / day / hour / minute / second:
yyyymmddhhmmss), and information on the latitude (degree), longitude (degree), and altitude (m) at that time. Further, information on longitude error (degree), latitude error (degree), and altitude error (m) is also acquired and registered in the travel route data file 15.
These pieces of error information are data indicating the range of the deviation of the position information acquired by the mobile unit 1.

Then, it is determined whether the transmission timing of the transmission section 13 has been reached (step S3). The transmission timing is arbitrary, and may be, for example, once a day or once a week. Further, the transmission timing may be determined according to the transmission timing specified by the user of the mobile unit 1 without automatically determining the transmission timing. If it is not the transmission timing, the process moves to step S7. On the other hand, if it is determined that it is the transmission timing, the transmission unit 13
Transmit the untransmitted position information and time information (step S
5). Error information is also transmitted. Then, such processing is repeated until the processing is completed (step S7). However, it may be determined that the process is completed when the user of the mobile unit 1 also instructs the process to end, or the process may be automatically ended when the movement of the mobile unit 1 stops for a predetermined time or more. good.

Further, the data of the travel route data file 15 may be completely deleted when transmitted by the transmission unit 13, or information on up to which data has been transmitted may be added. Alternatively, the configuration may be such that storage is performed as long as the storage capacity of the mobile unit 1 permits.

The position information, the time information, and the error information transmitted by the transmitting unit 13 in this manner are transferred to the center server 3 via the radio base station 7, the public line network 9, and the like.

Next, the processing in the center server 3 will be described with reference to FIGS. First, the map data correction process will be described with reference to FIGS. The receiving unit 31 of the center server 3 receives the position information and the time information from each mobile unit 1 and registers them in the traveling route DB 32 (Step S11). Further, the error information is also received and registered in the travel route DB 32. For example, the same data as in FIG. 3 is stored in the traveling route DB 32. Next, the comparison unit 33
For each reference point on the road, the received (travel route DB32
The difference (Δr) between the position information stored in the map data DB 34 and the position information (Δr) is calculated (step S13). This processing will be described with reference to FIG.

For example, it is assumed that a certain road registered in the map data DB 34 has an ABC shape (shown by a dotted line) as shown in FIG. On the other hand, traveling route DB3
It is assumed that the travel route is AB′-C ′ based on the position information and the time information stored in No. 2. Thus, the map data D
Road ABC registered in B34 is actually A-
It may be B'-C '. Therefore, a point on the traveling route corresponding to each reference point (X in the example of FIG. 5, for example, provided at every 1 km) provided on the road is obtained by a map matching technique. In the example of FIG. 5, the point corresponding to X is X ′
It is. The map matching technique is a well-known technique and will not be described further here. When the position information at X ′ is not included in the travel route DB 32, the position information at X ′ is calculated by interpolation of surrounding position information or the like.

Then, the comparison unit 33 calculates Δr = XX ′. Note that X is a position vector of X expressed in a certain coordinate system, and X 'is a position vector of X' expressed in the same coordinate system. Δr can be expressed in the earth fixed coordinate system as Δ
x, Δy, Δz. The comparison unit 33 performs the above calculation from the position information and the time information from each mobile unit 1 to generate data as shown in FIG. 6 for each reference point on the road. That is, for each road reference point (point designated by longitude (degrees) and latitude (degrees)), for example, a serial number indicating the number of travels (including travels of different mobiles as well as the same mobiles) and a serial number at that time Δx, Δy, Δz
And are included.

If the error information exceeds a predetermined threshold value, the position information and the time information are not registered in the traveling route DB 32 in step S11,
It is also possible to adopt a configuration that excludes from the calculation target in. In this way, if the error is greater than a certain value,
That is, data when the quality of the positional information acquired by the mobile unit 1 is poor can be eliminated.

Next, the correction unit 35 calculates by the comparison unit 33.
6 for all road reference points
The difference is added for each of Δx, Δy, and Δz, and the cumulative value of Δx is calculated as Δ
The number of x (maximum serial number) and the cumulative value of Δy are Δ
The number of y (maximum serial number) and the cumulative value of Δz are Δ
Performs division by the number of z (maximum serial number) (step
Step S15). The result of the division is the average value of Δx, Δy, Δz
It turns out that. This average is based on accurate map data.
And obtained by the position information obtaining unit 11 of the mobile unit 1.
If the obtained location information has an error according to the Gaussian distribution,
It will be close to 0, assuming it is fluctuating.
However, if the map data is incorrect, Δx, Δy,
The average value of Δz is expected to deviate from zero. Sand
As shown in FIG. 7A, if the map data is accurate,
If Δx (also Δy and Δz) is Gauss centered around 0
Take the distribution. However, if the map data is incorrect, Δ
x is a gas centered on a point shifted from 0 by the average value of Δx.
Take the usus distribution. Therefore, the average value of Δx is used as the correction amount.
Thus, the map data can be corrected to an accurate value. Note that Δx,
Variation from the average value for each of Δy and Δz
(Standard deviation σ_x, Σ_y, Σ _y) Is also calculated. In some cases
Is not the average, but the median, mode, etc.
A value that represents the central tendency of the distribution used
In some cases.

Therefore, the correction unit 35 generates the map data DB 34 for the reference point having an average value of the differences Δx, Δy, Δz that exceeds a predetermined reference (0 in this example) by using the average value of the differences Δx, Δy, Δz. The map data in the area is corrected, and the corrected map data is registered in the map data DB 34 (step S17). Incidentally, [Delta] x, [Delta] y, when the average value of Δz is more than a standard deviation sigma _x, sigma _y, the sigma _y may be configured so as to correct the map data. Further, instead of using the average value as a reference or correcting the average value, the correction may be performed using a value representing the central tendency of the distribution such as the median value or the mode value.

In this manner, the center server 3 can correct the map data in the map data DB 32 based on the position information measured by the plurality of mobile units 1. Note that a configuration in which the corrected map data is transmitted to the mobile unit 1 may be employed. In the present embodiment, 1
Rather than making corrections based on the difference between map data and travel data calculated based on location information from one mobile unit, errors included in each location information are offset based on location information from multiple mobile units. In order to carry out such processing
A more accurate correction amount can be calculated, and more accurate map data can be obtained.

Next, a process for giving a privilege to the user of the mobile unit 1 will be described with reference to FIGS. FIG. 8 shows the pre-processing. First, the traveling distance processing unit 51 calculates a traveling route and a distance for each mobile unit 1 (Step S21). In the present embodiment, the traveling distance processing unit 51
Does not simply calculate the travel distance of the mobile unit 1,
In order to have the user travel on as many roads as possible and to obtain information on many roads, for example, even if the user travels on the same road twice or more, the second and subsequent times are not included in the cumulative traveling distance. Perform the processing to perform. However,
For the second and subsequent times, a configuration may be employed in which conversion is made shorter than the first time and accumulated. More generally, a configuration may be used in which it is determined whether the route is a new route or a route that has already been measured, and the routes are totalized with their respective weights. Step S2
Details of the process in 1 will be described with reference to FIG. Then, the calculation result of step S21 is registered in the actual driving data file 52.

The data of the running record data file 52
The format is, for example, as shown in FIG. That is, for each mobile body code, road identification information (road number),
Driving date (year / month / date: yymmddhh), start position (From
(Longitude)), a start position (From (latitude)), a destination position (to (longitude)), a destination position (To (latitude)), a distance, and a flag. As described above, in this embodiment, when the road number changes, the line is changed and recorded. In the column of flags, 0 is stored for a road section that has traveled before, and 1 is stored for a road section that has not traveled before. Therefore, even if the road number is the same, if the section has traveled in the past, 0 is stored in the column of flags, and if the section enters a section that has not traveled in the past, the row is changed to 1 in the column of flags. To be stored. Conversely, if the vehicle is traveling in a section that has not traveled in the past even if it has the same road number, 1 is stored in the column of flags, and if it enters a section that has traveled in the past, the line is changed and 0 is stored in the column. In order to simplify the calculation in the subsequent processing, the travel distance is stored in only the row where the flag is 1 in the distance column.

The running distance accumulating unit 53 stores the running performance data
With reference to the file 52, the mileage is accumulated for each mobile 1 and the accumulated mileage is registered in the accumulated mileage data file 54 (step S23). FIG. 1 shows an example of the data format of the tracking mileage data file 54.
0 is shown. In this manner, the data of the mobile object code and the data of the accumulated traveling distance are stored in pairs. As will be described later, the user service processing unit 55 stores the accumulated mileage data file 5 in response to various inquiries from a user terminal, for example.
Then, the response data is created based on the response data No. 4 and returned to the user terminal.

Next, the details of step S21 will be described with reference to FIG. First, the first two pieces of position information are
The road number of the traveling road acquired from B32 is specified, and registered in one line of the traveling result data file 52 (step S31). And the start position (From)
And the destination position (To) is registered in the line where the road number is registered (step S33).

Then, it is determined whether or not the vehicle has traveled in the section of the road number before (step S35). if,
If the section has traveled, the process proceeds to step S53. On the other hand, if the section has not traveled, it is determined whether to end the process (step S37).
If it is determined that the processing is to be ended, the processing is ended as it is, and the process proceeds to step S23 in FIG. On the other hand, if it is determined that the processing is not to be ended, the next position information is acquired from the traveling route DB 32 (step S39). Then, it is determined whether or not the section from the registered destination position to the currently acquired position information is a section that has traveled before (step S41).

If the section has traveled before (step S41: Yes route), the section shifts from a section that has not traveled to a section that has traveled. Therefore, since the line must be changed in the traveling result data file 52, the processing is performed in step S47.
Move to On the other hand, if the section has not traveled yet (step S41: No route), it is determined whether the road number has changed (step S43). If the road number has changed (step S43: Yes route), the line must be changed in the driving result data file 52, so the process proceeds to step S47. On the other hand, if the road number has not changed (step S43: N
(o route), there is no need to change the line, and the current line of the traveling record data file 52 is updated using the acquired position information as the destination information (To) (step S45). Then, the process returns to step S37.

If the line has to be changed (step S41: Yes route and step S43: Yes route), the start position of the section that has already traveled to the destination position (To) of the current line in the travel result data file 52 (step S41). In some cases, the location information is not the same as the acquired location information, in which case the location information is updated to a location included in the section between the registered destination information and the currently acquired location information (step S47). Then, the flag in the traveling performance data file 52 is set to 1 (step S49). Further, the travel distance is calculated with reference to the map data DB 34 and stored in the distance column of the current line (step S51).
Then, the process returns to step S31. In step S31,
If the road number has not been changed, the road number in the previous line is specified and registered in a new line. On the other hand, if the road number has been changed, the changed road number is specified and registered in a new line. In step S33, the destination position (To) of the previous line is registered in the current line as the start position (From), and the next destination information acquired in step S39 is registered in the current line as the destination position (To). register. Hereinafter, the same processing is performed.

In step S35, step S35
Even when it is determined that the process shifts to 53, it is first determined whether to end the process (step S53). If it is determined that the processing is to be ended, the processing is ended as it is, and the process proceeds to step S23 in FIG. On the other hand, if it is determined that the processing is not to be ended, the next position information is stored in the travel route DB.
32 (step S55). Then, it is determined whether or not the section from the registered destination position to the position information acquired this time is a section which has traveled before (step S57).

If the section has not traveled before (step S57: No route), the section has transitioned from the section that has traveled to the section that has not traveled. The line must be changed in. Therefore, the process proceeds to step S63. On the other hand, if the section has traveled (step S57: Yes route), it is determined whether the road number has changed (step S59). If the road number has changed (step S59: Yes route), the line must be changed in the actual driving data file 52, and the process proceeds to step S63. On the other hand, if the road number has not changed (step S59: N
(o route), there is no need to change the line, and the current line of the travel record data file 52 is updated using the acquired position information as the destination information (To) (step S61). Then, the process returns to step S53. It should be noted that a configuration may also be employed in which a weight that has been applied to a route that has traveled before is registered in the distance column.

If the line has to be changed (step S57: No route and step S59: Yes route), the traveling position (To) of the current line in the traveling result data file 52 has not been traveled before. The start position of the section is not always the same as the acquired position information (in this case, the position is included in the section from the registered destination information to the currently acquired position information) (step S63). . Then, the flag in the traveling result data file 52 is set to 0 (step S).
65). In this case, the distance is not calculated because it is not the accumulation target travel. Then, the process returns to step S31. In step S31, if the road number has not been changed, the road number of the previous line is specified and registered in a new line. On the other hand, if the road number has been changed, the changed road number is specified and registered in a new line. In step S33, the destination position (To) of the previous line is set to the start position (Fro).
m) is registered in the current line, and the next destination information acquired in step S55 is registered in the current line as the destination position (To). Hereinafter, the same processing is performed.

This makes it possible to generate the actual driving data file 52 as described with reference to FIG. When the traveling result data file 52 is generated, the traveling distance accumulating unit 53 can easily obtain the accumulated traveling distance by adding all the numbers in the distance column. In the case of a configuration in which a route that has traveled before is also registered in the distance column, a value obtained by multiplying a weight for the route is set as (new route travel distance (cumulative travel distance with a flag of 1)). ) × 1.0 (weight) + (travel distance of route that has already traveled (cumulative travel distance with flag 0)) × 0.5 (weight) to calculate cumulative travel distance Is also possible. 1.0 and 0.5 are examples. Routes that have already been traveled are also useful as data for map correction, and provide a large incentive to people who use a car for commuting and the like, so that more data can be collected.

Next, an example of a process for giving a privilege to a user will be described with reference to FIG. This process is an example of data exchange between the user service processing unit 55 of the center server 3 and a user terminal (not shown; for example, a device such as a personal computer, a mobile phone, or a mobile terminal). In this case, it is assumed that the user service processing unit 55 has, for example, a Web (Web) server function, and the user terminal has a Web browser function. In addition,
Here, exchange between computers is shown, but for example, a configuration in which a user issues a request, obtains information, or makes an application using a telephone may be used. In this case, for example, the user service processing unit 55 may have an automatic voice response function.

First, the user operates the user terminal to transmit a cumulative travel distance confirmation request including the mobile object code to the user service processing unit 55 (step S71). On the other hand, the user service processing unit 55 receives the accumulated mileage confirmation request including the moving body code (step S7).
3), referring to the accumulated mileage data file 54,
The cumulative traveling distance data corresponding to the received mobile unit code is acquired (step S75). Then, the service rank is specified by referring to the service provision rank table using the accumulated mileage data (step S7).
7). FIG. 13 shows an example of the service provision rank table. Here, rank A up to 500 km, 501 km
B rank from 100km to 1000km, 2 from 1001km
C rank up to 000 km, 4000 from 2001 km
D rank up to Km, 4001Km to 10,000Km
Up to the rank E, and after 10001 Km, the rank F is set.

The user service processing unit 55 transmits the acquired cumulative traveling distance data and the specified rank information to the user terminal (step S79). The user terminal receives the accumulated traveling distance data and the rank information from the user service processing unit 55, and displays them on the display device (step S).
81). This allows the user to check his or her cumulative running distance and to know the rank of the service that can be enjoyed.

Here, the services include, for example, cashback (including electronic money) according to the rank, supply of gasoline according to the rank, provision of a voucher according to the rank, provision of the latest electronic map data, and rank. And the like in accordance with the discount. However, the present embodiment is not limited to these.

If the user wishes to provide a service from the center at this time, the user operates the user terminal to transmit a service enjoyment application to the user service processing unit 55 (step S83). User of center server 3
The service processing unit 55 receives the service enjoyment application from the user terminal, and performs a process for providing the service (Step S87). For example, in the case of cashback, processing for transfer to the user's bank account, for providing cash vouchers, processing for sending to the user, for providing discounts, for sending discount tickets etc. And so on. The center operator can automatically and continuously acquire a lot of position information from the user's moving body 1 without conducting surveying surveys, and can carry out inexpensive correction of map data. become. A part of the floating cost is provided to the user. In this way, users can get services as compensation for collecting location information, and many users will participate in this system.

In the description of FIG. 12, an example is shown in which only the accumulated traveling distance is provided. However, for example, information such as the information of the traveling route DB 32 and the information of the traveling result data file 52 are provided from the user service processing unit 55. It may be a configuration. Also, when providing various services, etc.,
The information on the service provision selection screen is transmitted from the user service processing unit 55 and displayed on the user terminal, and the information on the service selected by the user is transmitted to the user service processing unit 5.
5 may receive and perform processing for providing the selection service.

Next, a process of totalizing traffic volume data will be described with reference to FIGS. The traveling performance processing unit 71 refers to the traveling performance data file 52,
The number of traffic per hour is counted for each section of the road and registered in the traffic volume data file 73 (step S9).
1). For example, in the driving performance data file 52,
Prescribed road number and prescribed start position (or its range)
And the number of lines including the destination position (or its range). An example of the traffic data file 73 is shown in FIG. Here, a road number, a section number, and the number of vehicles per hour are stored for each date and time (year, month, day, time: yymmddhh).

Then, the traffic volume processing section 75 compiles the traffic volume (the number of the mobile units 1) in a specific time unit or a road section unit, and stores it in the storage device (step S93). For example, the total is calculated for each specific time zone, each season, and each section of the road. The aggregation unit is set in advance. However, since the process in FIG. 14 may be a batch process, settings are made in advance so that the center operator can obtain necessary information. The traffic processing unit 75 outputs corresponding data in response to a request from the center operator (step S95). It is also possible to have a configuration in which output is made automatically, not in response to a request. Further, in addition to the tallying, the configuration may be such that the actual traffic volume is estimated from the tallying result according to a predetermined rule. Further, the output may be performed not only to the center operator but also in response to a request from the user.

In this way, congestion conditions (such as congestion)
Can be used for various purposes such as predicting road expansion, drafting a road expansion plan, and planning a store opening.

The embodiment of the present invention has been described above.
The present invention is not limited to this. For example, the running record data file 52 is configured to record only the start position, the destination position, and the distance as described above, but is configured to further calculate and store information on speed and acceleration. Is also possible. In this way, it is possible to acquire an abnormal state such as a sudden brake that occurs during operation together with the position of the occurrence, and it is also possible to estimate the danger of traffic at a specific position on the road. Become. In a mountainous area, it is possible to estimate the degree of difficulty of road traffic (degree of maintenance). Thus, the traveling route DB 32
Or more data may be collected from the mobile unit 1 to perform more complicated processing.

(Supplementary Note 1) An acquisition step of acquiring time-series position data measured by a plurality of moving bodies and storing the data in a time-series position data storage unit, and a predetermined step in the map data stored in the map data storage unit. Calculating a difference between the position of the map data and a position corresponding to the predetermined position in the map data and obtained from the time-series position data stored in the time-series position data storage unit; and Calculating the representative value of the difference for each position, and correcting the predetermined position in the map data using the representative value of the difference when the representative value of the difference exceeds a predetermined reference; Storing the subsequent position data in the map data storage unit.

(Supplementary Note 2) Based on the time-series position data stored in the time-series position data storage unit, a moving distance totaling step of totalizing the moving distance for each moving object; The map data correction method according to claim 1, further comprising: performing a process for giving a predetermined privilege to a holder of the moving object.

(Supplementary note 3) The map data correction according to Supplementary note 2, wherein in the moving distance summing step, it is determined whether the moving distance is a new route or a route that has already been measured, and the weights are totalized. Method.

(Supplementary Note 4) A supplementary note 1 further comprising a step of counting the number of moving objects in a predetermined section of the road for a predetermined time zone based on the time-series position data stored in the time-series position data storage unit. 4. The method of correcting map data according to any one of claims 1 to 3.

(Supplementary Note 5) From the time-series position data stored in the time-series position data storage unit, for each moving body, identification information of the road on which the moving body has moved, movement time information, movement start position, movement end. 5. The map data correction method according to any one of supplementary notes 1 to 4, further comprising a step of calculating position information and travel distance information.

(Supplementary Note 6) In the acquiring step, in the step of acquiring error information of time-series position data measured by the plurality of moving objects, and calculating the difference,
6. The map data correction method according to claim 1, wherein when the error information satisfies a predetermined condition, the corresponding time-series position data is excluded from a calculation target.

(Supplementary Note 7) Means for acquiring time-series position data measured by a plurality of moving objects and storing the time-series position data in a time-series position data storage unit, and a predetermined data in the map data stored in the map data storage unit Means for calculating a difference between a position and a position corresponding to a predetermined position in the map data and obtained from the time-series position data stored in the time-series position data storage unit; and a predetermined position in the map data. Means for calculating a representative value of the difference for each, when the representative value of the difference exceeds a predetermined reference, correcting a predetermined position in the map data using the representative value of the difference; Means for storing the position data in the map data storage unit.

(Supplementary Note 8) A step in which the computer acquires time-series position data measured by a plurality of moving objects and stores the data in the time-series position data storage unit. Calculating a difference between a predetermined position of the map data and a position corresponding to the predetermined position in the map data and obtained from the time-series position data stored in the time-series position data storage unit; and Calculating the representative value of the difference for each predetermined position, and correcting the predetermined position in the map data using the representative value of the difference when the representative value of the difference exceeds a predetermined reference. And storing the corrected position data in the map data storage unit.

(Supplementary Note 9) A step in which the computer acquires time-series position data measured by a plurality of moving objects and stores the time-series position data in the time-series position data storage unit. Calculating a difference between a predetermined position of the map data and a position corresponding to the predetermined position in the map data and obtained from the time-series position data stored in the time-series position data storage unit; and Calculating the representative value of the difference for each predetermined position, and correcting the predetermined position in the map data using the representative value of the difference when the representative value of the difference exceeds a predetermined reference. And storing the corrected position data in the map data storage unit. The storage medium stores a map data correction program for executing the steps.

[0061]

As described above, according to the present invention, map data can be corrected with high accuracy.

Further, a privilege can be given to a user who provides location information, so that more location information can be obtained. Further, various traffic data can be used.

[Brief description of the drawings]

FIG. 1 is a diagram showing an outline of a system according to an embodiment of the present invention.

FIG. 2 is a diagram showing a processing flow in a moving object.

FIG. 3 is a diagram showing an example of a data format of a travel route data file.

FIG. 4 is a diagram showing a processing flow for correcting map data.

FIG. 5 is a schematic diagram showing a correspondence between map data and travel data.

FIG. 6 is a diagram illustrating an example of a processing result in a comparison unit.

FIG. 7 is a diagram for explaining the principle of map data correction. (A) is an example when the map data is accurate, (b)
Shows an example where the map data is incorrect.

FIG. 8 is a diagram showing a processing flow for accumulating the traveling distance of each moving body.

FIG. 9 is a diagram showing an example of a data format of an accumulated mileage data file.

FIG. 10 is a diagram showing an example of a data format of a running result data file.

FIG. 11 is a diagram illustrating a flow of a process of generating a driving result data file.

FIG. 12 is a diagram for explaining processing of a user service processing unit;

FIG. 13 is a diagram illustrating an example of a service provision rank table.

FIG. 14 is a diagram showing a traffic flow calculation processing flow.

FIG. 15 is a diagram showing an example of a data format of a traffic data file.

[Explanation of symbols]

REFERENCE SIGNS LIST 1 mobile unit 3 center server 5 GPS satellite 7 radio base station 9 public line network 11 location information acquisition unit 13 transmission unit 15 travel route data file 31 reception unit 32 travel route DB 33 comparison unit 34 map data DB 35 correction unit 51 Running distance processing unit 52 Running result data file 53 Running distance accumulation unit 54 Cumulative running distance data file 55 User service processing unit 71 Running result processing unit 73 Traffic volume data file 75 Traffic volume processing unit

──────────────────────────────────────────────────の Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) // G06F 17/30 110 G06F 17/30 110F 170 170C 240 240A (72) Inventor Koichi Sato Kawasaki-shi, Kanagawa 4-1-1, Kamiodanaka, Nakahara-ku F-term in Fujitsu Limited (Reference) 2C032 HB12 HB22 HB25 HC08 HC11 HC31 HD04 HD13 HD30 2F029 AA02 AA04 AA05 AA07 AB07 AC02 AC14 AC19 AD03 5B050 BA04 BA10 BA17 CA07 DA07 EA07 FA19 5 NR20 UU13 5H180 AA01 BB02 BB04 CC12 DD01 EE02 FF04 FF07 FF10 FF22 FF37

Claims (5)

[Claims] An acquisition step of acquiring time-series position data measured by a plurality of moving objects and storing the data in a time-series position data storage unit; and a predetermined position in the map data stored in the map data storage unit. Calculating a difference between the position corresponding to a predetermined position in the map data and the position obtained from the time-series position data stored in the time-series position data storage unit; and for each predetermined position in the map data. Calculating the representative value of the difference, and when the representative value of the difference exceeds a predetermined reference, correcting a predetermined position in the map data using the representative value of the difference, Storing position data in the map data storage unit. 2. A moving distance totalizing step of totalizing a moving distance for each moving object based on the time-series position data stored in the time-series position data storage unit, and the moving based on the totalized moving distance. 2. The map data correction method according to claim 1, further comprising: performing a process for granting a predetermined privilege to a body holder. 3. The map data correction method according to claim 2, wherein, in the moving distance totaling step, whether the moving distance is a new route or a previously measured route is determined, and the moving distance is totaled by each weight. . 4. The method according to claim 1, further comprising the step of counting the number of moving objects in a predetermined section of the road for a predetermined time zone based on the time-series position data stored in the time-series position data storage unit. 3. The method for correcting map data according to any one of 3. 5. A computer, comprising: obtaining time-series position data measured by a plurality of moving objects; storing the time-series position data in a time-series position data storage unit; and storing predetermined time data in the map data stored in the map data storage unit. Calculating the difference between the position corresponding to the predetermined position in the map data and the position obtained from the time-series position data stored in the time-series position data storage unit; and Calculating the representative value of the difference for each position, and when the representative value of the difference exceeds a predetermined reference, correcting the predetermined position in the map data using the representative value of the difference, and correcting Storing the subsequent position data in the map data storage unit; and a map data correction program for executing the following.