JP6443153B2 - Data processing apparatus, system, data processing method, and program - Google Patents

Description

  The present invention relates to a data processing device, system, data processing method, and program.

  In recent years, in a system represented by a machine-to-machine (M2M) system, various types of sensor data are collected and research and development are actively performed for various applications. An example of such an M2M system is described in Non-Patent Document 1, for example.

  Non-Patent Document 1 describes a vehicle tracking system that transmits vehicle position information read from a GPS (Global Positioning System) module by a microcontroller to a Web server together with a vehicle ID (Identifier). In this vehicle tracking system, the position information and vehicle ID of the vehicle are transmitted to a Web server via GSM (registered trademark) / GPRS (Global system for mobile communication / General Packet Radio Service). A database connected to the Web server stores the position information of the vehicle. Moreover, the smart phone application described in Non-Patent Document 1 displays the latest vehicle position information in the database in real time.

SeokJu Lee, Girma Tewolde, Jaerok Kwon, “Design and Implementation of Vehicle Tracking System Using GPS / GSM / GPRS Technology and Smartphone Application”, 2014 IEEE World Forum on Internet of Things, IEEE, March 2014, p. 353-358

  In the vehicle tracking system as shown in Non-Patent Document 1, in order to update the vehicle position in real time, it is necessary to frequently upload data indicating the vehicle position from the in-vehicle device including the GPS module to the Web server. . However, the payload length of such data (packets) may be shortened, and the ratio of the header in the data may increase. Therefore, in the vehicle tracking system in which such data is uploaded, the utilization efficiency of network resources is deteriorated.

  Further, in the vehicle tracking system described in Non-Patent Document 1, in order to improve the utilization efficiency of network resources, it is considered to reduce the frequency of uploading data indicating the vehicle position from the in-vehicle device including the GPS module to the Web server. It is done. However, in this case, the accuracy of the vehicle position indicated by the data provided by the Web server to the smartphone used by the user decreases. Here, the accuracy of the vehicle position is a vehicle position indicated by data acquired from a Web server by a smartphone having an application capable of displaying the vehicle position on the screen, and the vehicle position at the time of acquisition is represented by the time of the time. It means accuracy when compared with the actual vehicle position. For example, when the frequency of uploading data indicating the vehicle position is set to once every 30 seconds, the Web server stores the same vehicle position in the smartphone immediately after being uploaded until the next upload (that is, 30 seconds). Will provide data to show. That is, when the smartphone acquires data indicating the vehicle position from the Web server 20 seconds after the upload, the acquired data represents the vehicle position 20 seconds before. Therefore, as the vehicle moves faster, the accuracy of the vehicle position that the application displays on the smartphone screen decreases.

  As described above, the frequency of uploading data indicating the vehicle position from the in-vehicle device to the Web server and the accuracy of the vehicle position indicated by the data provided from the Web server to the smartphone are in a trade-off relationship. Therefore, in the technology described in Non-Patent Document 1, when the frequency of uploading data indicating the vehicle position from the in-vehicle device (in-vehicle terminal) to the Web server (management device) is low, the data managed by the Web server Thus, the accuracy of the vehicle position indicated by the data provided to the smartphone by the Web server is reduced.

  An object of the present invention has been made in view of the above problems, and a technique capable of outputting the position of a moving object with high accuracy even when the frequency of uploading data indicating the position of the moving object is low. It is to provide.

  A data processing apparatus according to an aspect of the present invention includes a receiving unit that receives measurement data indicating a measurement position of a moving object, and another time that is a time axis of an output destination of output data with respect to a time of a real-world time axis. Determining means for determining a delay time of an axis time, and another measurement in which the other time that is the time on the other time axis is a time on the other time axis that is substantially coincident with the measurement time of the measurement data Control means for determining whether or not the time period is included in the period from the time until the delay time; and when the control means determines that the other time is not included in the period, based on the measurement data Predicting means for calculating prediction data indicating a predicted position of the moving object at a time on the real-world time axis at substantially the same time as the other time, and the control means, wherein the other time is the period If it is determined to be included in Supplementary means for calculating supplementary data indicating the position of the moving object at a time on the time axis in the real world at substantially the same time as the other time, and the supplementary means includes the prediction data and the other The complementary data is calculated based on at least one of the complementary data and the measurement data, and the control means calculates the prediction data or the complementary data calculated based on the determination result as the output data. Output as.

  A system according to an aspect of the present invention includes an in-vehicle terminal mounted on a moving object, and a data processing device connected to the in-vehicle terminal so as to communicate with the in-vehicle terminal, wherein the in-vehicle terminal determines the position of the moving object. Measuring means for measuring, and transmitting means for transmitting measurement data indicating the measurement position of the moving object, measured by the measuring means, the data processing device receiving means for receiving the measurement data, A determination means for determining a delay time of a time of another time axis that is a time axis of an output destination of output data with respect to a time of a real world time axis, and another time that is a time on the other time axis is Control means for determining whether or not it is included in the period from the other measurement time that is the time on the other time axis at substantially the same time as the measurement time of the measurement data to the time after the delay time; and The other When it is determined that the time is not included in the period, based on the measurement data, prediction data indicating a predicted position of the moving object at a time on the time axis in the real world at substantially the same time as the other time And when the control means determines that the other time is included in the period, the moving object at a time on the time axis in the real world at substantially the same time as the other time. Complementing means for calculating complementary data indicating the position of, and the complementing means calculates the complementary data based on at least one of the prediction data and the other complementary data and the measurement data, The control means outputs the prediction data or the complementary data calculated based on the determination result as the output data.

  Further, the data processing method according to one aspect of the present invention receives measurement data indicating a measurement position of a moving object, and another time axis that is a time axis of an output destination of output data with respect to time in the real world From the other measurement time, which is the time on the other time axis at substantially the same time as the measurement time of the measurement data. It is determined whether or not it is included in the period until the delay time, and when it is determined that the other time is not included in the period, it is substantially the same time as the other time based on the measurement data. Predicting data indicating a predicted position of the moving object at a time on the time axis in the real world, and when it is determined that the other time is included in the period, it is substantially the same as the other time. The time of the time on the real time axis of the time Complement data indicating the position of the moving object is calculated, and the prediction data or the complement data calculated based on the determination result is output as the output data. In the calculation of the complement data, the prediction data and other data are output. The complementary data is calculated based on at least one of the complementary data and the measurement data.

  Note that a computer program that realizes the above-described apparatus, system, or method by a computer and a computer-readable storage medium that stores the computer program are also included in the scope of the present invention.

  According to the present invention, it is possible to output the position of a moving object with high accuracy even when the frequency of uploading data indicating the position of the moving object is low.

It is a functional block diagram which shows an example of a function structure of the vehicle-mounted terminal and management apparatus which concern on the 1st Embodiment of this invention. It is a figure for demonstrating the time axis of a real world, and the time axis of the application which operate | moves with a management apparatus. It is a figure which shows an example of the time on the time axis of a real world or the time on the time axis of an application, and measurement data or prediction data at the time. It is a flowchart which shows an example of the reception process in the management apparatus of the system which concerns on the 1st Embodiment of this invention. It is a flowchart which shows an example of the data generation process in the management apparatus of the system which concerns on the 1st Embodiment of this invention. It is a figure for demonstrating the production | generation method of the complement data in the complement part of the management apparatus of the system which concerns on the modification of the 1st Embodiment of this invention. It is a functional block diagram which shows an example of a function structure of the vehicle-mounted terminal and management apparatus which concern on the 2nd Embodiment of this invention. It is a flowchart which shows an example of the reception process in the management apparatus of the system which concerns on the 2nd Embodiment of this invention. It is a flowchart which shows an example of the data generation process in the management apparatus of the system which concerns on the 2nd Embodiment of this invention. It is a functional block diagram which shows an example of a function structure of the vehicle-mounted terminal and management apparatus which concern on the 3rd Embodiment of this invention. It is a flowchart which shows an example of the application information reception process in the management apparatus of the system which concerns on the 3rd Embodiment of this invention. It is a flowchart which shows an example of the data generation process in the management apparatus of the system which concerns on the 3rd Embodiment of this invention. It is a functional block diagram which shows an example of a function structure of the data processor which concerns on the 4th Embodiment of this invention. It is a figure which shows an example of the hardware constitutions of the management apparatus or data processing apparatus which concerns on each embodiment of this invention.

<First Embodiment>
A first embodiment of the present invention will be described in detail with reference to the drawings. First, the overall configuration of the system according to the present embodiment will be described with reference to FIG. FIG. 1 is a functional block diagram showing an example of the functional configuration of the in-vehicle terminal 100 and the management device 200 of the system 1 according to the present embodiment. As shown in FIG. 1, the system 1 according to the present embodiment includes an in-vehicle terminal 100 and a management device 200.

  The in-vehicle terminal 100 is a device mounted in a moving object such as a vehicle, and is realized by, for example, a mobile phone terminal, a smartphone, a tablet, or the like.

  The management device 200 is communicably connected to the in-vehicle terminal 100. The management device 200 is realized by a server installed in a data center, for example. The communication between the management apparatus 200 and the in-vehicle terminal 100 may be, for example, a method using a 3GPP (Third Generation Partnership Project) network such as LTE (Long Term Evolution). Further, the communication between the management device 200 and the in-vehicle terminal 100 is not limited to this, and may be a method using a wireless network such as a taxi radio, or other methods. Also good.

  In FIG. 1, only one in-vehicle terminal 100 is illustrated, but a plurality of in-vehicle terminals 100 that communicate with the management apparatus 200 may be provided.

  Next, the functional configuration of each device of the system 1 according to the present embodiment will be described.

[In-vehicle terminal 100]
As shown in FIG. 1, in-vehicle terminal 100 of system 1 according to the present embodiment includes measurement unit 101 and communication unit 102.

  The measuring unit 101 measures the position of the moving object. As described above, since the in-vehicle terminal 100 is mounted on a moving object, it can be said that the measurement unit 101 measures the position of the in-vehicle terminal 100 including the measurement unit 101. The measurement unit 101 is realized by, for example, a GPS (Global Positioning System) sensor. The measurement unit 101 generates measurement data indicating the measured position. The measurement data includes, for example, position information indicating latitude and longitude and measurement time information indicating the measured time. Note that the measurement data is not limited to this, and may include other information. Further, the position information is not limited to information indicating latitude and longitude, and may be information indicating the position of the terminal. The measurement unit 101 outputs the generated measurement data to the communication unit 102.

  The communication unit 102 receives measurement data from the measurement unit 101. The communication unit 102 transmits (uploads) the received measurement data to the management apparatus 200. The communication unit 102 may be realized by a communication interface for performing communication with the management apparatus 200.

[Management device 200]
Next, the functional configuration of the management apparatus 200 will be described. As shown in FIG. 1, the management apparatus 200 of the system 1 according to the present embodiment includes a receiving unit 201, a prediction unit 202, a complementing unit 203, a storage unit 204, a control unit 205, and a complementary region determining unit 206. And a time management unit 208 and a display unit 230.

  The display unit 230 displays data on the screen. The data displayed on the screen by the display unit 230 is, for example, the vehicle position displayed on the screen when an application program that displays the vehicle position on the screen operates on the management device 200. The application program is a program stored in the storage unit 204, for example. Hereinafter, the application program operating on the management apparatus 200 is also simply referred to as an application. Note that the application may be stored in a storage device different from the storage unit 204. The application may be a program stored in another device connected to the management device 200 via an Ethernet (registered trademark) cable or an interconnect. In this embodiment, an example in which an application operates on the management apparatus 200 will be described. However, an application may operate on an apparatus other than the management apparatus 200. In this case, the management apparatus 200 transmits information necessary for executing the application to the apparatus executing the application, and further receives the execution result of the application.

  In the present embodiment, it is assumed that the application operates on the management apparatus 200 as described above. Although described later, this application is executed by the control unit 205. The control unit 205 displays the vehicle position on the screen of the display unit 230 by executing the application.

  The display unit 230 is realized by a liquid crystal display, for example. In the present embodiment, the display unit 230 is described as being integrated with the management apparatus 200, but the present invention is not limited to this. Display unit 230 may be realized by a device separate from management device 200. When the display unit 230 and the management device 200 are separate devices, the communication between the devices may be wireless communication or wired communication. When the display unit 230 is a separate device from the management device 200, the display unit 230 may be a single display device or a display unit built in another device.

  The receiving unit 201 receives measurement data transmitted from the in-vehicle terminal 100. The receiving unit 201 stores the received measurement data in the storage unit 204. The receiving unit 201 may be realized by a communication interface for communicating with the in-vehicle terminal 100. Note that the receiving unit 201 may store the measurement data in a storage unit built in itself instead of the storage unit 204.

  The time management unit 208 manages time on the time axis in the real world. The time management unit 208 manages the time on the time axis of the application. In addition, when the length of a complementary area described later is output from the complementary area determination unit 206, the time management unit 208 sets a time delayed by this length from the time on the real world time axis. As time at

  In addition, the time management unit 208 outputs the current time on the real-world time axis and / or the current time on the application time axis to the control unit 205. The timing to output to the control unit 205 may be regular or non-periodic.

  FIG. 2 is a diagram for explaining a real-world time axis and a time axis of an application operating on the management apparatus 200. The time axis representing the time t shown on the upper side of FIG. 2 is a real time axis. Further, the time axis representing the time T shown on the lower side of FIG. 2 is the time axis of the application. The time T on the application time axis is τ seconds behind the time t on the real world time axis. Therefore, T = t−τ holds. The time management unit 208 manages the time on the time axis of the application, which is delayed by τ seconds from the real world time.

  Hereinafter, the time (T) on the application time axis at the same time as the time (t) on the real world time axis is referred to as the time on the application time axis corresponding to the time on the real world time axis.

  For example, when the time on the application time axis is 120 seconds behind the time on the time axis in the real world, and the time at a certain point on the time axis in the real world is 2:00, Is when the time on the time axis of the application is 1:58. However, the present embodiment is not limited to this. For example, even when the time on the application time axis is within a predetermined range including 1:58, the real time axis It may be the same time as the time.

  Note that the time management unit 208, for example, τ when the application is terminated may be set as an initial value of the length of the complementary region when the application is operated next time.

  When the measurement unit 101 performs measurement at the same time as the time on the time axis of the application based on the measurement data received in the past by the reception unit 201 in accordance with an instruction from the control unit 205, the prediction unit 202 Predictive data that is expected to be obtained is generated. The prediction unit 202 generates prediction data according to an algorithm such as a Kalman filter or a particle filter, for example. Note that the method by which the prediction unit 202 generates prediction data is not limited to this, and other algorithms may be used. Hereinafter, prediction data, which is measurement data expected to be obtained when measurement is performed at the same time as the time on the application time axis, is referred to as prediction data at the time on the application time axis.

  In the present embodiment, not only when the time on the time axis in the real world and the time on the time axis of the application match, the other time is included within a predetermined range of one time. This case is called the same time. For example, when the time on the time axis in the real world is 1 o'clock, the time on the time axis of the application at the same time may mean a time within a predetermined range including 1 o'clock.

  For example, consider a case where the position information included in the measurement data is information indicating the latitude and longitude indicating the vehicle position, and the measurement time information is a time stamp indicating the measurement time. At this time, when the prediction unit 202 uses the Kalman filter, the prediction data is generated by calculating the vehicle position at the time on the time axis of the application from the past measurement data. The prediction data generated at this time includes position information indicating latitude and longitude indicating the vehicle position, and prediction time information indicating the current time.

  And the prediction part 202 produces | generates the prediction data converted into the information containing the coordinate on the screen of the display part 230 from the prediction data containing the said positional information and prediction time information. Specifically, the prediction unit 202 generates prediction data including coordinates on the screen, a predicted speed at that time, and predicted time information. Hereinafter, the data converted into information including coordinates on the screen is referred to as coordinate system data on the screen.

  The prediction unit 202 outputs the generated prediction data to the control unit 205. Note that the prediction unit 202 may store the generated prediction data in the storage unit 204. This prediction data is data used in the application.

  Note that the prediction unit 202 outputs prediction data including the position information and the prediction time information to the control unit 205, and the control unit 205 includes coordinates on the map that the application displays on the screen of the display unit 230. Prediction data converted into information may be generated.

  In accordance with an instruction from the control unit 205, the complementing unit 203 is obtained when the measurement unit 101 performs measurement at a past time on the real-world time axis and at a future time on the application time axis. Complementary data that is expected measurement data is generated. The time on the real world is a past time, and the future time on the application time axis is a time included in a complementary area to be described later.

  For example, in FIG. 2, it is assumed that the measurement unit 101 performs measurement at time t1 on the time axis in the real world. The current time on the real world time axis is also t1. In this case, the time t0 on the time axis in the real world is a past time. The time on the application at the same time as t1 is T1, as shown in FIG. Assuming that the time on the application, which is the same time as t0, is t'0, as shown in FIG. 2, t'0 is a time later than T1.

  For example, it is assumed that the current time (t1) is 13:00 and t0 is one minute before (12:59). When τ is 120 seconds (2 minutes), the time (T1) on the time axis of the application at the current time (t1) is 12:58. On the time axis of the application, the time becomes 13:00 at t'1 in FIG. The period from time T1 (in this example, 12:58) to time t'1 (in this example, 13:00) is a complementary region. Since the current time on the time axis of the application is 12:58 as described above, t0 (12:59 in this example), which is the past time on the time axis in the real world. Is a future time (indicated as t′0 in FIG. 2) on the time axis of the application. As shown in FIG. 2, t′0 is the time in the complementary region between T1 and t′1. In the following, a period in which the prediction unit 202 generates prediction data, which is a period other than the complementary region, is also referred to as a prediction period.

  The complementing unit 203 generates complementary data that is expected to be obtained when the measurement unit 101 performs measurement at this time (t0 in FIG. 2). At this time, the complement unit 203 generates the complement data based on the measurement data stored in the storage unit 204 and received by the reception unit 201 in the past. The complementary data may further include information (for example, a time stamp) indicating a time on the time axis of the application (future time described above), which is a reference for generating the complementary data.

  Hereinafter, calculating the complement data by the complement unit 203 is also referred to as complement. Further, complementary data, which is measurement data expected to be obtained when measurement is performed at the same time as the time on the application time axis, is referred to as complementary data at the time on the application time axis.

  The method of calculating the complement data performed by the complement unit 203 will be further described with reference to FIGS. FIG. 3 is a diagram used for explaining the operation of the complementing unit 203 according to the present embodiment. The time on the real-world time axis or the time on the application time axis, and the measurement data or prediction at that time An example of data is shown. In FIG. 3, the measurement data, the prediction data, and the complementary data are described as data on a coordinate system on the screen. In FIG. 3, the right column shows information indicating which time axis the time is on. Further, the left column indicates whether the coordinate system data on the screen is measurement data, prediction data, or complementary data.

  As described above, it is assumed that the time (T) on the time axis of the application is delayed by τ seconds from the time (t) on the time axis in the real world. Therefore, the time displayed on the screen of the display unit 230 by executing the application can be expressed as T = t−τ.

  Assume that the prediction data predicted by the prediction unit 202 at time Tk on the application time axis is (Xk, Yk, VXk, VYk, Tk) as shown in FIG. Here, (Xk, Yk) indicates a predicted position (predicted position) in the coordinate system on the screen at time Tk. The coordinate system on the screen is, for example, a coordinate system in which the horizontal direction of the screen is the x axis and the vertical direction is the y axis. VXk indicates the predicted speed in the x-axis direction at this time, and VYk indicates the predicted speed in the y-axis direction at this time. Thus, it is assumed that the prediction data is represented by a set of the predicted position, the predicted speed, and the time in the coordinate system on the screen. Data (measurement data, prediction data, or complementary data) represented by a set of the predicted position, the predicted speed, and the time is referred to as data representing the state of the vehicle.

  Assume that the time (t) on the time axis in the real world corresponding to the time Tk on the time axis of this application is tk as shown in FIG. It is assumed that measurement data is generated by the measurement unit 101 at this time tk. The measurement data at that time is represented by data including a coordinate system on the screen as (xk, yk, Vxk, Vyk, tk) as shown in FIG. Here, (xk, yk) is a position in the coordinate system on the screen at time tk, and is a known coordinate obtained from the measurement data. Further, Vxk indicates the speed in the x-axis direction at this time, and Vyk indicates the speed in the y-axis direction at this time. These speeds are also calculated from the measurement data.

  Note that the control unit 205 may convert the measurement data received by the receiving unit 201 into data on the coordinate system on the screen, or the prediction unit 202 and the complementing unit 203 may perform the conversion.

  The time on the time axis of the application, which is the same time as the time tk on the real time axis, that is, the time when T = tk is τ seconds after Tk described above. Therefore, T = tk = Tk + τ. This time is also expressed as t'k in FIG.

  The complementing unit 203 moves the data representing the vehicle state from (Xk, Yk, VXk, VYk, Tk) to (xk, yk, Vxk, Vyk, tk) during τ seconds from time Tk to tk. In a similar manner, by calculating data representing the state of the vehicle at a time between time Tk and tk, complementary data is generated.

  A method of generating complementary data by the complementing unit 203 will be further described. In the example of the complementary data generation method by the complementing unit 203 shown below, it is assumed that the vehicle performs a uniform acceleration motion between two points. Note that the motion between two points of the vehicle is not limited to this, and may be, for example, a uniform motion.

  It is assumed that the data representing the state of the vehicle at the time Tk described above is generated as prediction data indicated by (Xk, Yk, VXk, VYk, Tk) by the prediction unit 202. Further, it is assumed that data representing the state of the vehicle at time tk is represented by measurement data including a coordinate system on the screen of (xk, yk, Vxk, Vyk, tk) from the received measurement data. On the time axis of the application, as shown in FIG. 2, Tk <tk (= Tk + τ).

  When complementary data representing the state of the vehicle at time T when the time T on the time axis of the application satisfies Tk <T <= tk, (X, Y, VX, VY, T) X which is the x coordinate in the upper coordinate system is calculated by the following equation (1).

  Here, ax is the acceleration of the vehicle in the x-axis direction and is expressed by the following equation (2).

  Note that τ is τ = tk−Tk.

  Y which is the y coordinate in the coordinate system on the screen of the complementary data can be calculated by the same method. Then, the complementing unit 203 calculates VX and VY from the obtained coordinates. Then, the complementing unit 203 generates a set of the calculated X, Y, VX, VY and time T as complementary data.

  The complement unit 203 outputs the generated complement data to the control unit 205. Note that the complement unit 203 may store the generated supplement data in the storage unit 204. This complementary data is data used in the application.

  Note that the complement unit 203 indicates the position information and the time at the position indicated by the position information from the measurement data including the position information, the measurement time information, and the predicted data including the position information and the predicted time information. Complement data including information (complement time information) may be generated. That is, when the position information is position information indicated by longitude and latitude, the complement unit 203 may generate complementary data including position information indicated by longitude and latitude. Then, the complement unit 203 outputs the complement data to the control unit 205, and the control unit 205 generates the supplement data converted into information including the coordinates on the map that the application displays on the screen of the display unit 230. Good.

  The storage unit 204 stores the measurement data received by the receiving unit 201. The storage unit 204 may store prediction data generated by the prediction unit 202. In addition, the storage unit 204 may store the complement data generated by the complement unit 203.

  In the present embodiment, it is assumed that the storage unit 204 stores an application (program) that runs on the management apparatus 200.

  The complementary area determination unit 206 determines whether or not to change the complementary area. Here, the complement region is a time range (period) in which data is complemented. When receiving the notification from the control unit 205 described later, the complementary region determining unit 206 changes the complementary region. For example, in the application that displays the vehicle position on the screen of the display unit 230, when the scale of the displayed map is changed by an instruction from the user, for example, the control unit 205 informs the supplementary region determination unit 206 to that effect. Notice. Thereby, the complement region determination unit 206 determines to change the complement region. As described above, the complementary region determination unit 206 determines whether or not to change the complementary region based on a predetermined rule.

  In addition, the complementary region determination unit 206 determines a complementary region. Specifically, the complementary region determination unit 206 determines the time axis of the application, and determines the complementary region based on the determined time axis of the application.

  The time axis of the application determined by the complementary region determining unit 206 is a time axis that is delayed by τ seconds (τ is an arbitrary number) from the real time axis. That is, τ indicates a time delay (delay time) of the time on the time axis of the application with respect to the time on the real time time axis. The complementary region determination unit 206 determines the time axis of the application by determining this τ. The complement region determination unit 206 notifies the time management unit 208 of the determined time axis. Specifically, the complementary region determination unit 206 notifies τ to the time management unit 208. As a result, the time management unit 208 manages the time delayed by the notified length (τ seconds) from the current time on the real-world time axis as the current time on the application time axis.

  The complementary region determination unit 206 determines τ based on a predetermined policy. Here, the predetermined policy will be described. The predetermined policy is based on application characteristics such as the scale of the map displayed on the screen and the type of user who uses the application, for example, when an application that displays the vehicle position on the screen of the display unit 230 is used. And τ is determined.

  A case where the complementary region determination unit 206 determines τ based on the characteristics of the application will be described with a specific example.

  First, as a characteristic of the application, a case where the user who uses the application is a taxi dispatch operator will be described. When the user is a taxi dispatch operator, the position of the vehicle is larger than the delay time (ie, τ) of the time displayed on the screen (the time on the application time axis) with respect to the time on the real time time axis. There is a characteristic that accuracy is more important. Therefore, when the predetermined policy set based on such characteristics is, for example, “if the user is a taxi dispatch operator, τ is set to a value larger than a predetermined threshold value”, the complementary region determination unit 206 Based on this policy, a value larger than a predetermined threshold is determined as τ.

  Next, as a characteristic of the application, a case where the user who uses the application is a customer who is looking for a taxi will be described. When the user is a customer, the difference (delay time) between the time on the real time time axis and the time displayed on the screen (the time on the application time axis) is smaller than the accuracy of the vehicle position. There is a characteristic that is more important. Therefore, if the predetermined policy set based on such characteristics is, for example, “If the user is a customer looking for a taxi, τ is set to a value smaller than a predetermined threshold value”, the complementary region is determined. The unit 206 determines a value smaller than a predetermined threshold as τ based on this policy.

  In addition, as a characteristic of the application, a case where the scale of the map displayed on the screen by the application is larger than a predetermined value will be described. Here, a large scale of the map indicates that the scale denominator is smaller, and a small scale of the map indicates that the scale denominator is larger.

  When the map scale is smaller than the predetermined value, the difference (delay) between the time on the real time axis and the time displayed on the screen (the time on the application time axis) rather than the accuracy of the vehicle position. There is a characteristic that a smaller time is more important. Therefore, if the predetermined policy set based on such characteristics is, for example, “if the map scale is smaller than a predetermined value, τ is set to a value smaller than a predetermined threshold”, the complementary region is determined. The unit 206 determines a value smaller than a predetermined threshold as τ based on this policy.

  In addition, when the map scale is larger than a predetermined value, the position of the vehicle is larger than the delay time of the time displayed on the screen (the time on the application time axis) with respect to the time on the real time time axis. There is a characteristic that accuracy is more important. Therefore, if the predetermined policy set based on such characteristics is, for example, “when the map scale is larger than a predetermined value, τ is set to a value larger than a predetermined threshold”, the complementary region is determined. Based on this policy, the unit 206 determines a value larger than the predetermined threshold as τ.

  Further, the complementary region determination unit 206 may receive output data output from the control unit 205 described later periodically or non-periodically and determine τ according to the value of the received output data. At this time, the predetermined policy set may be a policy that determines τ according to the value of the output data.

  As described above, the complementary region determination unit 206 determines τ, which is the length of the complementary region, based on a predetermined policy. The predetermined policy described above is an example, and the present invention is not limited to this.

  The information indicating the predetermined policy may be stored in the storage unit 204, or may be stored in a storage device that is separate from the management device 200.

  Then, the supplemental area determination unit 206 determines a period of τ seconds as a supplemental area from the time indicated by the measurement time information included in the measurement data (latest measurement data) last received by the reception unit 201 at the present time. To do. Note that the supplemental area determination unit 206 determines a period of τ seconds as a supplemental area from the time indicated by any measurement time information of the measurement data received from the current time before the predetermined period, not the latest measurement data. May be. That is, the length of the complementary region is τ seconds.

  Note that, when new measurement data is received regardless of whether or not τ has been changed, the complementary region determination unit 206 may determine a period of τ seconds from the new measurement data as a new complementary region.

  In the present embodiment, changing the complementary region means changing the length of the complementary region unless specifically limited. Accordingly, as described above, determining a new complementary region without changing the length τ of the complementary region may be performed by the complementary region determining unit 206 every time new measurement data is received. Good.

  Then, the complementary region determination unit 206 outputs information indicating the determined complementary region to the control unit 205. At this time, when an overlapping period is included in a certain complementary region and another complementary region, the complementary region determination unit 206 displays both the information indicating the certain complementary region and the information indicating the other complementary region. , It may be output to the control unit 205.

  The control unit 205 controls the overall operation within the management apparatus 200. For example, the control unit 205 executes an application stored in the storage unit 204. At this time, the control unit 205 executes the application at the time on the time axis of the application managed by the time management unit 208.

  In the application for displaying the vehicle position on the screen of the display unit 230, when the scale of the displayed map is changed by, for example, an instruction from the user, an input unit (not shown) receives the instruction. Then, the control unit 205 notifies the complementary region determination unit 206 that the scale has been changed based on an instruction received by an input unit (not shown).

  In addition, the control unit 205 receives information indicating the complementary region determined by the complementary region determining unit 206 from the complementary region determining unit 206. The control unit 205 determines whether or not the current time on the time axis of the application is within the complementary region indicated by the information. Then, the control unit 205 instructs the prediction unit 202 or the complementing unit 203 to generate data according to the determination result. Specifically, when the current time on the time axis of the application is within the supplement area, the control unit 205 instructs the supplement unit 203 to generate supplement data. In addition, the control unit 205 instructs the prediction unit 202 to generate prediction data when the current time on the time axis of the application is not within the complementary region.

  An example of a method by which the control unit 205 determines whether or not the current time on the time axis of the application is within the complementary region indicated by the information will be further described with reference to FIG. It is time (t) on the time axis in the real world, and the time when the measurement unit 101 measures the measurement data is t = tk. The time (T) on the time axis of the application at this time is assumed to be T = Tk = t−τ.

  Therefore, when the current time (T) on the application time axis satisfies the following expression (3), that is, the current time on the application time axis is indicated on the right side in FIG. If it is within the period indicated by “complement area”, the complement unit 203 is instructed to generate complement data.

Tk <T ≦ tk (3)
Satisfying the above expression (3) can be paraphrased when the current time (t) on the real-world time axis satisfies the following expression (4).

tk <t ≦ tk + τ (4)
In addition, when the expression (3) is not satisfied, that is, when tk <T, the control unit 205 instructs the prediction unit 202 to generate prediction data. In other words, using the time (t) on the time axis of the real time axis, the control unit 205 generates prediction data in the prediction unit 202 when the above formula (4) is not satisfied, that is, when tk + τ <t. Instruct them to do so.

  The control unit 205 receives the prediction data from the prediction unit 202 after instructing the prediction unit 202 to generate prediction data. When the prediction data generated by the prediction unit 202 is stored in the storage unit 204, the control unit 205 may acquire the prediction data from the storage unit 204.

  In addition, the control unit 205 receives the complementary data from the complementing unit 203 after instructing the complementing unit 203 to generate complementary data. When the complement data generated by the complement unit 203 is stored in the storage unit 204, the control unit 205 may acquire the supplement data from the storage unit 204.

  When the control unit 205 receives or acquires the prediction data or the complementary data, the control unit 205 provides the prediction data or the complementary data to the application to be executed. For example, when the control unit 205 is executing an application stored in the storage unit 204, the prediction data or the complementary data is used as input data for the application. Hereinafter, when the control unit 205 uses prediction data or complementary data as input data for an application to be executed, the control unit 205 also outputs the prediction data or complementary data to the application. Hereinafter, the prediction data or the complementary data that the control unit 205 outputs to the application is referred to as output data. The control unit 205 may output this output data to the complementary region determination unit 206 periodically or irregularly.

  Further, when the control unit 205 executes the application, the control unit 205 receives the execution result of the application. This execution result is a result of displaying the vehicle position on the screen of the display unit 230, for example. The control unit 205 displays the vehicle position on the screen of the display unit 230 by receiving the execution result. Hereinafter, the data displayed on the screen (vehicle position in this example) is also referred to as data output by the application on the screen. As described above, when the application is executed, the application displays the vehicle position on the screen of the display unit 230 using the prediction data or the complementary data.

  Therefore, when τ determined by the complementary region determination unit 206 is made larger, the proportion of the supplemental data used in the data displayed on the screen becomes larger. When τ is made smaller, the predicted data among the data is predicted data. The rate at which is used is greater.

[Description of operation]
Next, the operation of the management apparatus 200 of the system 1 according to the present embodiment will be described with reference to FIGS. FIG. 4 is a flowchart showing an example of reception processing in the management apparatus 200 according to the present embodiment.

  First, the management apparatus 200 performs an initialization process (step S41). In the initialization process, the time management unit 208 sets the time axis of the application operating on the management apparatus 200 and the time axis of the real world. The time management unit 208 sets the value as the initial value of the time axis of the application when the application has an initial value of the length of the complementary region, and when the application does not have the initial value. The initial value of the time axis of the application is a value (that is, τ) indicating how much the time on the time axis of the application is delayed from the time of the real time axis. Then, the time management unit 208 outputs the set initial value (τ) of the time axis of the application to the complementary region determination unit 206. In the initialization process, the receiving unit 201 is in a state where it can receive measurement data from the in-vehicle terminal 100.

  Thereafter, the management apparatus 200 starts the data generation process shown in FIG. The management device 200 may execute this data generation process in a thread different from the reception process, or may execute it in the same thread. The data generation process will be described later with reference to FIG.

  After step S41 ends, the receiving unit 201 of the management device 200 receives the measurement data transmitted from the terminal 100 (step S42). Then, the receiving unit 201 stores the received measurement data in the storage unit 204 (step S43). And the receiving part 201 returns a process to step S42, and repeats step S42 and step S43.

  Next, the data generation process of the management apparatus 200 will be described with reference to FIGS. FIG. 5 is a flowchart showing an example of data generation processing in the management apparatus 200 according to this embodiment. In the following, an application that displays the vehicle position on the screen of the display unit 230 will be described as an example of an application that operates on the management apparatus 200.

  When the initialization process (step S41) shown in FIG. 4 is completed, the time management unit 208, as shown in FIG. 5, is the time axis managed and the time on the time axis of the application operating on the management apparatus 200. Is advanced by one step (step S51). For example, in the application for displaying the vehicle position on the screen of the display unit 230, when the vehicle position is updated every second, one step is one second. Therefore, in this case, the time management unit 208 advances the time on the time axis of the application at the current time by 1 second. Thereby, the current time on the time axis of the application is the time advanced by one step. In addition, when the process of this step S51 is the first time, this step S51 may be omitted.

  Next, the complementary area determination unit 206 determines whether or not to change the complementary area (step S52). When the process of step S52 is the first time, the length of the complementary region is the initial value output from the time management unit 208 in step S41. When it is determined that the complementary region is to be changed (YES in step S52), the complementary region determining unit 206 determines the length (that is, τ) of the new complementary region (step S53).

  Then, the complementary region determination unit 206 outputs the determined length (τ) of the complementary region to the time management unit 208. The time management unit 208 changes the time axis of the application using τ received from the complementary region determination unit 206 (step S54). Then, the complementary region determination unit 206 outputs information indicating the current complementary region to the control unit 205. That is, the complementary region determination unit 206 outputs information indicating the complementary region after the change to the control unit 205 when the complementary region is changed, or information indicating the complementary region when the complementary region is not changed. To do.

  After step S54 is completed, or when the complementary region determination unit 206 determines not to change the complementary region (NO in step S52), the control unit 205 manages the current time on the time axis of the application managed by the time management unit 208. It is determined whether or not the current time is within the complementary region (step S55).

  If the current time on the application time axis is within the complement region (YES in step S55), the complement unit 203 calculates supplement data at the time on the real world time axis corresponding to the current time of the application ( Step S56). And the management apparatus 200 advances a process to step S58.

  If the current time on the time axis of the application is not within the complementary region (NO in step S55), the prediction unit 202 calculates prediction data at the time on the real world time axis corresponding to the current time of the application. (Step S57). Thereafter, the management apparatus 200 advances the process to step S58.

  After step S56 or step S57 is completed, the control unit 205 provides output data (predicted data or complementary data) to the application running on the management apparatus 200 (step S58).

  And the management apparatus 200 returns a process to step S51. The management apparatus 200 repeats this process until a predetermined timing or application is completed.

〔effect〕
As described above, the receiving unit 201 of the management device 200 according to the present embodiment receives measurement data indicating the measurement position of the vehicle (moving object) on which the in-vehicle terminal 100 is mounted. Further, the complementary region determination unit 206 determines the delay time (τ) of the application time axis (other time axis) that is the time axis of the output destination of the output data with respect to the time of the real world time axis.

  Here, a certain time on the time axis of the application is defined as T2 and T3 (see FIG. 2). The time on the time axis of this application is called another time. Also, let t2 and t3 be times on the real-world time axis at substantially the same time as the other times (T2 and T3). t2 is also called the time of the real world time axis corresponding to T2, and t3 is also called the time of the real world time axis corresponding to T3.

  The control unit 205 determines that the other time (T2 or T3) is the time of the application time axis (Tk in FIG. 2) (the other measurement time) at substantially the same time as the measurement time of the measurement data (tk in FIG. 2). To determine whether it is included in the period (complementary region) after the delay time (τ).

  When it is determined that the other time is not included in the complementary region (that is, when the other time is T3 in FIG. 2), the predicting unit 202 determines the time T3 based on the measurement data. The position of the vehicle at the time on the time axis in the real world at substantially the same time is predicted, and prediction data indicating the predicted position is calculated. And the control part 205 outputs the prediction data calculated based on the determination result to the application which operate | moves on the management apparatus 200 as output data, for example.

  In addition, when it is determined that another time is included in the complementing area (that is, when the other time is T2 in FIG. 2), the complementing unit 203 is in the real world at approximately the same time as the time T2. Complementary data indicating the position of the vehicle at the time on the time axis is calculated based on the prediction data and the measurement data. And the control part 205 outputs the complement data calculated based on the determination result to the application which operate | moves on the management apparatus 200 as output data, for example.

  As a result, when another time is included in the complementary region, this other time T2 is a future time on the application time axis, but is a past time on the real world time axis. Accordingly, the complementing unit 203 uses the measurement data already received by the receiving unit 201 before the time on the time axis in the real world (t2 in FIG. 2) at substantially the same time as the other time T2. Is calculated.

  As described above, since the complementary data is calculated using the actually measured measurement data, the accuracy of the output data output from the control unit 205 to the application can be improved.

  Therefore, according to the management apparatus 200 according to the present embodiment, even when the frequency of uploading measurement data indicating the position of the moving object is low, highly accurate data indicating the position of the moving object is output. Can do.

  Therefore, the in-vehicle terminal 100 can reduce the frequency of uploading measurement data to the management device 200.

  Moreover, even if the in-vehicle terminal 100 does not upload the measurement data to the management device 200 by the prediction unit 202 calculating the prediction data, the prediction unit 202 can predict the position of the vehicle. Therefore, the control unit 205 can output the predicted position to an application that displays the vehicle position, for example. Thereby, the management apparatus 200 can behave as if measurement data is uploaded from the in-vehicle terminal 100 to the management apparatus 200 with respect to the application.

  Furthermore, the management apparatus 200 according to the present embodiment can output more optimal output data. This will be described below.

  When the complement region is larger, the proportion of the supplement data increases between the prediction data and the supplement data that the control unit 205 outputs to the application. In this case, the control unit 205 can output highly accurate output data, but the delay time of the time on the application time axis becomes larger than the time on the time axis in the real world. On the other hand, as the complement area is reduced, the ratio of the forecast data to the forecast data and the complement data output from the control unit 205 to the application increases. In this case, the difference between the time on the time axis in the real world and the time on the time axis of the application can be brought close to 0, but the accuracy of the output data output by the control unit 205 decreases. Thus, the accuracy of the output data and the delay time have a trade-off relationship.

  However, since the complementary region determining unit 206 according to the present embodiment adjusts the length of the complementary region according to a predetermined policy, this trade-off can be controlled. In addition, by setting a policy for determining a complementary area that meets the requirements of the application to which the output data is output, the complementary area determining unit 206 can handle various applications. As described above, the management apparatus 200 according to the present embodiment determines the length of the complementary region to a value suitable for the application, and thus satisfies the accuracy of the output data, and the real time of the time on the time axis of the application. The delay with respect to the time on the time axis can be further reduced.

(Modification)
Next, a modified example of the system 1 according to the present embodiment will be described. The above-described complementing unit 203 processes the supplementary data at a certain point in a certain supplemental area using one measurement data that has already been received by the receiving unit 201. However, the present embodiment is limited to this. It is not a thing. Another example of the complementary data calculation method of the complementing unit 203 will be described with reference to FIG. FIG. 6 is a diagram for explaining a complementary data generation method in the complementary unit 203 of the management apparatus 200 of the system 1 according to the present modification.

  In FIG. 6, as in FIG. 2, the time axis representing the time t is a real-world time axis. The time axis representing the time T is the time axis of the application. The time T on the application time axis is τ seconds behind the time t on the real world time axis. Therefore, T = t−τ holds. Further, as shown in FIG. 3 described above, the prediction data predicted by the prediction unit 202 at time Tk on the time axis of the application is (Xk, Yk, VXk, VYk, Tk). Further, the time (t) on the real-world time axis corresponding to the time Tk is assumed to be tk, and the measurement data at this time is represented by coordinates (xk, yk, Vxk, Vyk, tk) on the screen. Suppose that the data includes the system.

  Then, it is assumed that the complement unit 203 calculates the supplement data when the time (T) on the time axis of the application is T = Tj by the method described in the first embodiment. The complementary data at this time is (Xj, Yj, VXj, VYj, Tj).

  Further, the time (t) on the time axis in the real world corresponding to the time Tj is assumed to be tj. Then, it is assumed that the reception unit 201 receives the measurement data generated by the measurement unit 101 at this time (tj). The measurement data at this time is (xj, yj, Vxj, Vyj, tj). Further, complementary data representing the state of the vehicle at time T is (X, Y, VX, VY, T).

  In this state, when the time T on the time axis of the application is a time satisfying Tj <T <= tk (for example, time Ti in FIG. 6), the complementing unit 203 in this modification example uses the supplemental data (X , Y, VX, VY, T) are calculated by the following method.

  At this time, as shown in FIG. 6, since the time T is Tj <T <= t′j (= tj = Tj + τ), X which is the x coordinate in the coordinate system on the screen of the complementary data is expressed by the following equation: Calculated by (5).

  Here, ax is the acceleration of the vehicle in the x-axis direction and is expressed by the following equation (6).

  Note that τ is τ = tj−Tj.

  Y which is the y coordinate in the coordinate system on the screen of the complementary data can be calculated by the same method. Then, the complementing unit 203 calculates VX and VY from the obtained coordinates. Then, the complementing unit 203 generates a set of the calculated X, Y, VX, VY and time T as complementary data.

  That is, when the complementing unit 203 calculates the supplementary data at the time Ti (other time) on the time axis of the application, during Tk <T <Ti (in FIG. 6, T = Tj (second other time) Assume that the reception unit 201 receives measurement data at a time tj on the real-world time axis at substantially the same time as (measurement time). Here, Tk is the measurement time on the time axis of the application (the time of the start point of the complementary region (other measurement time) related to the complementary region (period indicated by τ1 in FIG. 6) used by the control unit 205 for the determination. ). That is, Tj is a time after Tk and before Ti. When the reception unit 201 receives measurement data at time tj (second measurement time) on the time axis in the real world corresponding to Tj, the complement unit 203 includes the supplement data at time Tj and the data at time tj. Based on the measurement data, the complementary data at time Ti is calculated.

  As described above, when the reception unit 201 receives measurement data at a time satisfying Tj <T <= tk, the measurement data and the prediction data described in the first embodiment are used. Supplementary data may be calculated, or new complementary data may be calculated using measurement data and already calculated complementary data.

  As in this modification, the management apparatus 200 can output more accurate complementary data by calculating the complementary data using the latest measurement data.

  In the above, there is complementary data or prediction data at the time (for example, Tk and Tj in FIG. 6) on the time axis of the application corresponding to the measurement time of the measurement data (for example, tk and tj in FIG. 6). This was explained as an example. Here, a description will be given of a case where the complementing unit 203 calculates complementary data when there is no supplemental data or prediction data of the time on the application time axis corresponding to the measurement time of the measurement data. In this case, after the complementing unit 203 or the prediction unit 202 calculates the supplemental data or the prediction data at the time on the time axis of the application corresponding to the measurement time of the received measurement data, the complementing unit 203 calculates the supplemental data. do it.

  In addition, the method by which the complement unit 203 calculates the supplement data is not limited to the method described above. There may be a plurality of methods by which the complement unit 203 calculates the complement data. In this case, the complementing unit 203 determines which method is used to calculate the supplemental data according to the value of the measurement data used when calculating the supplemental data. calculate.

  In this case, for example, the storage unit or the storage unit 204 in the complementing unit 203 has a combination of a value range of measurement data and information indicating a calculation method of the complementary data (for example, a calculation model indicating the calculation method). It may be stored. And the complement part 203 may determine the method of calculating complement data based on this stored information.

  Thereby, since the complementary data according to the value of measurement data can be calculated, the management apparatus 200 can output output data with higher accuracy.

<Second Embodiment>
Next, a second embodiment of the present invention will be described with reference to the drawings. For convenience of explanation, members having the same functions as those included in the drawings described in the first embodiment described above are given the same reference numerals, and descriptions thereof are omitted.

  FIG. 7 is a functional block diagram illustrating an example of functional configurations of the in-vehicle terminal 100 and the management device 200 of the system 2 according to the present embodiment. As shown in FIG. 7, the system 2 according to the present embodiment includes an in-vehicle terminal 100 and a management device 300. That is, the system 2 according to the present embodiment is configured to include a management device 300 instead of the management device 200 of the system 1 according to the first embodiment described above.

[Management device 300]
As shown in FIG. 7, the management device 300 in the system 2 according to the present embodiment includes a reception unit 201, a prediction unit 202, a complementing unit 203, a storage unit 204, a control unit 205, and a complementary region determination unit 306. A time management unit 208, a display unit 230, and a difference calculation unit 309. That is, the management device 300 in the system 2 according to the present embodiment includes a complementary region determination unit 306 instead of the complementary region determination unit 206 in the management device 200 according to the first embodiment described above, and further includes a difference calculation unit. 309.

  The receiving unit 201 receives the measurement data transmitted from the in-vehicle terminal 100, similarly to the receiving unit 201 in the management device 200 according to the first embodiment. The receiving unit 201 stores the received measurement data in the storage unit 204. Then, the reception unit 201 transmits a notification indicating that the measurement data has been received to the difference calculation unit 309. The receiving unit 201 may output the received measurement data to the difference calculating unit 309.

  When the difference calculation unit 309 receives a notification indicating that the measurement data has been received from the reception unit 201, the difference calculation unit 309 acquires the measurement data from the storage unit 204. Further, the difference calculation unit 309 may receive the measurement data when the reception unit 201 transmits the measurement data. The difference calculation unit 309 extracts the measurement time indicated by the measurement time information included in the measurement data from the received or acquired measurement data. Then, complementary data or prediction data at the time on the time axis of the application corresponding to the measurement time is acquired from the storage unit 204.

  Note that the difference calculation unit 309 may acquire complementary data or prediction data at a time that matches the time on the time axis of the application corresponding to the measurement time. Further, the difference calculation unit 309 may acquire complementary data or prediction data at a time within a predetermined period including the time on the time axis of the application.

  Note that the complementary data or prediction data stored in the storage unit 204 is output data provided (output) to the application by the control unit 205 described in the first embodiment. Therefore, hereinafter, the complementary data or the prediction data stored in the storage unit 204 is also referred to as output data.

  The difference calculation unit 309 calculates a difference between the output data acquired from the storage unit 204 and the acquired or received measurement data. At this time, when one of the output data and the measurement data is data in a coordinate system on the screen and the other is data including position information indicating latitude and longitude, the difference calculation unit 309 determines the coordinate system of the data. Convert to one. For example, the difference calculation unit 309 converts the data including the position information into data in a coordinate system on the screen, and calculates a difference between the two data.

  It can be said that as the difference between the data is smaller, there is no difference between the measurement data and the output data output to the application. Therefore, it can be said that the accuracy of the output data output to the application is good. On the other hand, it can be said that the greater the difference between the data, the lower the accuracy of the output data output to the application.

  The difference calculation unit 309 outputs the difference calculation result to the complementary region determination unit 306 together with the measurement time of the measurement data used when calculating the difference or the time on the time axis of the application corresponding to the measurement time. Note that the difference calculation unit 309 may store the calculated difference in the storage unit 204 together with the time.

  The complementary region determination unit 306 determines whether or not to change the complementary region, similar to the above-described complementary region determination unit 206. Further, the complementary region determination unit 306 receives the calculation result from the difference calculation unit 309. Then, when receiving the calculation result, the complementary region determining unit 306 determines the length τ of the complementary region based on the received calculation result.

  Note that the supplemental region determination unit 306 receives the time of the supplemental region starting after the calculation result is received after the supplemental region determination unit 306 determines the supplemental region length τ (for example, the time of the latest measurement data). ) Is used to calculate τ. Note that the present embodiment is not limited to this, and the complementary region determination unit 306, for example, calculates a calculation result in which the time received together with the calculation result is a time within a predetermined period from the time of the start point. You may use for calculation.

  Specifically, the complementary region determination unit 206 determines τ based on a predetermined policy according to the difference calculated by the difference calculation unit 309.

  An example of a method in which the complementary region determination unit 306 determines τ based on a predetermined policy will be described. As described above, when the difference calculated by the difference calculation unit 309 is smaller, it can be said that the accuracy of the output data output to the application is good. Therefore, for example, the complementary region determination unit 306 determines τ based on a policy that “if the difference is smaller than a predetermined value, τ is not changed”.

  In the above case, it may be desired to bring the time on the application time axis closer to the time on the real world time axis to make it closer to the state of the vehicle in the real world. In this case, the complementary region determination unit 306 determines τ based on a policy that “if the difference is smaller than a predetermined value, make τ smaller”. By reducing τ, the time on the application time axis can be brought closer to the time on the real world time axis.

  Further, when the difference calculated by the difference calculation unit 309 is larger, it can be said that the accuracy of the output data output to the application is low. Therefore, in order to increase the accuracy of the output data, the complementary region determination unit 306 determines τ based on a policy of “increase τ when the difference is larger than a predetermined value”, for example.

  Then, the complementary region determination unit 306 outputs information indicating the determined complementary region to the control unit 205.

[Description of operation]
Next, the operation of the management apparatus 300 of the system 2 according to the present embodiment will be described with reference to FIGS. FIG. 8 is a flowchart showing an example of reception processing in the management apparatus 300 according to the present embodiment.

  In FIG. 8, steps S41 to S43 are the same as steps S41 to S43 described with reference to FIG.

  After step S43 ends, the difference calculation unit 309, in step S42, measures the measurement time indicated by the measurement time information included in the measurement data received by the reception unit 201 and the time on the time axis of the application corresponding to the measurement time. In step S84, the supplementary data or the prediction data is acquired from the storage unit 204. Note that step S84 may be performed after step S42 is completed, or may be performed before step S43.

  The difference calculation unit 309 calculates a difference between the acquired complementary data or prediction data and the measurement data, and outputs the calculated difference to the complementary region determination unit 306 (step S85).

  And the management apparatus 200 returns a process to step S42.

  Next, data generation processing of the management apparatus 300 will be described with reference to FIG. FIG. 9 is a flowchart showing an example of data generation processing in the management apparatus 300 according to the present embodiment. In the following, an application that displays the vehicle position on the screen of the display unit 230 will be described as an example of an application that operates on the management apparatus 300.

  When the initialization process (step S41) illustrated in FIG. 8 is completed, as illustrated in FIG. 9, the time management unit 208 is a time axis that is managed, and the time on the time axis of the application that operates on the management apparatus 200. Is advanced by one step (step S51).

  Next, the complementary area determination unit 306 determines whether or not to change the complementary area (step S52). When it is determined that the supplementary area is to be changed (YES in step S52), the supplementary area determination unit 306 confirms whether or not the difference calculation result by the difference calculation unit 309 has been received (step S91). Since the reception process and the data generation process described above may operate asynchronously, step S91 may be executed before the process of step S85 ends.

  When the calculation result is not received (NO in step S91), the complementary region determining unit 306 uses the same method as the complementary region determining unit 206 according to the first embodiment to determine the length of the new complementary region ( That is, τ) is determined (step S53).

  When receiving the calculation result (YES in step S91), the complementary region determining unit 306 determines the length of a new complementary region using the received calculation result (step S92).

  After step S53 or step S92, the management apparatus 300 performs the data generation process (steps S54 to S58) in the first embodiment described above.

  Then, the management apparatus 300 repeats this process until a predetermined timing or application ends.

〔effect〕
According to the management apparatus 300 according to the present embodiment, the same effects as those of the management apparatus 200 according to the first embodiment described above can be obtained. Furthermore, the management apparatus 300 according to the present embodiment can output more accurate output data.

  This is because the difference calculation unit 309 calculates the difference between the output data calculated based on the determination result by the control unit 205 and the measurement data at substantially the same time as other times related to the output data. is there.

  Assume that the receiving unit 201 receives measurement data when the time (t) on the time axis in the real world is t = tk as shown in FIG. That is, the measurement time of this measurement data is tk. The time on the time axis of the application corresponding to this time tk is Tk, and the output data at this time Tk has already been output by the control unit 205. That is, the time Tk is a time (other time) on the time axis of the application related to the output data. The difference calculation unit 309 calculates the difference between the output data at the time Tk and the measurement data at the time tk on the real time axis.

  Then, based on the difference calculated by the difference calculation unit 309, the complementary region determination unit 306 delays the time (T) of the time (T) on the time axis of the application with respect to the time (t) on the time axis of the real world. To decide.

  Thereby, the management apparatus 300 can calculate the relationship between the determined complementary region and the accuracy of the output data that has been output. As a result, the complementary region determining unit 306 can set the complementary region so that the accuracy of the output data becomes the target level. Therefore, according to the management apparatus 300 according to the present embodiment, it is possible to output more accurate output data.

(Modification 1)
In the above description, the difference used when the complementary region determining unit 306 calculates τ has been described as one, but the present embodiment is not limited to this. The complementary region determination unit 306 may determine τ using a plurality of differences.

  The difference calculation unit 309 stores the calculated difference in the storage unit 204 together with the measurement time of the measurement data used when calculating the difference or the time on the time axis of the application corresponding to the measurement time. Then, the complementary region determination unit 306 may determine τ based on one or more differences stored in the storage unit 204. At this time, the complementary region determination unit 306 may use only the difference within the predetermined time range or may use all the differences.

  Note that the difference calculation unit 309 may acquire one or more previously calculated differences from the storage unit 204 and perform analysis. Then, the complementary region determination unit 306 may determine τ using the difference analysis result by the difference calculation unit 309.

  As described above, the complementary region determination unit 306 may determine τ using one or more differences.

  Even if such a method is used, the complementary region determination unit 306 can determine τ such that the accuracy of the complementary data satisfies the target level.

(Modification 2)
The management apparatus 300 according to the second embodiment described above can receive measurement data from a plurality of in-vehicle terminals 100, similarly to the management apparatus 200 according to the first embodiment. At this time, the measurement data includes an identifier for identifying each vehicle or the in-vehicle terminal 100.

  And the management apparatus 300 performs the data generation process shown in FIG. 9 for every vehicle. Note that the complementary region determination unit 306 may unify the length τ of the complementary region among the vehicles. For example, the difference calculated by the difference calculation unit 309 for a certain vehicle (referred to as vehicle AA) is set as the difference SA, and the difference calculated by the difference calculation unit 309 is determined for other vehicles (referred to as vehicle AB). , The difference SB. At this time, the complementary region determination unit 306 may calculate the length τ (referred to as τA) of the complementary region with respect to the vehicle AA based only on the difference SA. Similarly, the complementary region determination unit 306 may calculate the length τ (referred to as τB) of the complementary region with respect to the vehicle AB based only on the difference SB. Further, the complementary region determination unit 306 may calculate the length τ of the complementary region using the average value of the difference SA and the difference SB, and set the calculated complementary region length τ as τ = τA = τB.

  Thus, the accuracy of the output data can be kept constant by determining the same complementary region for the vehicles related to each of the vehicle positions displayed on the screen.

<Third Embodiment>
Next, a third embodiment of the present invention will be described with reference to the drawings. For convenience of explanation, members having the same functions as those included in the drawings described in the first or second embodiment described above are given the same reference numerals, and descriptions thereof are omitted.

  FIG. 10 is a functional block diagram illustrating an example of functional configurations of the in-vehicle terminal 100 and the management device 400 of the system 3 according to the present embodiment. As shown in FIG. 10, the system 3 according to the present embodiment includes an in-vehicle terminal 100 and a management device 400. That is, the system 3 according to the present embodiment is configured to include a management device 400 instead of the management device 300 of the system 2 according to the second embodiment described above. The system 3 according to the present embodiment may be configured to include a management device 400 instead of the management device 200 of the system 1 according to the first embodiment described above.

[Management device 400]
As shown in FIG. 10, the management apparatus 400 in the system 3 according to the present embodiment includes a reception unit 201, a prediction unit 202, a complementing unit 203, a storage unit 204, a control unit 205, and a complementary region determination unit 406. A time management unit 208, a display unit 230, a difference calculation unit 309, and an information acquisition unit 410. That is, the management device 400 in the system 3 according to the present embodiment includes a complementary region determination unit 406 instead of the complementary region determination unit 206 in the management device 300 according to the second embodiment described above, and further includes an information acquisition unit. 410.

  The information acquisition unit 410 acquires information (also referred to as application information or output destination information) related to an application (output destination) from which the control unit 205 outputs output data. When the control unit 205 is executing an application, the information acquisition unit 410 may be built in the control unit 205.

  The application information includes, for example, information indicating the execution environment of the application, information regarding data output by the application (data displayed on the screen of the display unit 230), information input to the application (input data for the application), and the like. However, the present embodiment is not limited to this.

  The information indicating the execution environment of the application is information indicating whether the application operates on a movable device such as a mobile phone terminal or a device such as a desktop personal computer or a server. . When the control unit 205 is executing an application, the information acquisition unit 410 checks whether the device (management device 400) is a movable device, and acquires the confirmed content as application information. When the application is running on another device, the information acquisition unit 410 acquires the information from the other device that is executing the application. If the application has a function capable of outputting its own execution environment, the information acquisition unit 410 may acquire the execution environment output by the application as application information.

  The information indicating the execution environment of the application may include information regarding a user who uses the application. The information regarding the user who uses the application includes, for example, information indicating a customer who is looking for a taxi, information indicating a taxi dispatch operator, and the like. When the execution environment of the application is on a movable device, the information acquisition unit 410 may assume that a user who uses the application is a customer, and information indicating the customer may be information on a user who uses the application.

  The data output by the application includes, for example, data indicating a map area to be displayed on the screen together with the position when the application displays the position of the vehicle on the screen. This data is, for example, data indicating from where to where the longitude and latitude of the map displayed on the screen. In other words, the data is data indicating a range of places that can be displayed on the screen. The information acquisition unit 410 may acquire data output by the application as application information.

  The data output by the application may be, for example, the number of positions displayed on the screen (that is, the number of vehicles) when the application displays the position of the vehicle on the screen.

  The data output by the application may be map information indicating a map to be displayed on the screen together with the position when the application displays the position of the vehicle on the screen, for example.

  The information input to the application is, for example, content input by the user using an input unit (not shown). For example, as described in the first embodiment, in the application that displays the vehicle position on the screen of the display unit 230, it is assumed that the scale of the displayed map is changed by an instruction from the user, for example. An input unit (not shown) receives an instruction from the user. Then, the control unit 205 outputs information indicating the input content to the application based on the instruction received by the input unit. The information acquisition unit 410 receives information output from the control unit 205 to the application (information input to the application) from the control unit 205 as an application. If the application has a function of outputting information input to itself, the information acquisition unit 410 may acquire information output from the application as application information. In this case, information indicating the scale after being changed by a user instruction is application information.

  The information acquisition unit 410 outputs the acquired application information to the complementary region determination unit 406. Further, the information acquisition unit 410 may store the acquired application information in the storage unit 204.

  The complement region determination unit 406 determines whether or not to change the supplement region, similarly to the supplement region determination unit 206 described above. In addition, the complementary region determination unit 406 receives application information from the information acquisition unit 410. When receiving the application information, the supplemental area determination unit 406 determines the length τ of the supplemental area based on the received application information. Specifically, the complementary region determination unit 406 determines τ based on at least one of information indicating an execution environment of the application, information regarding data output by the application, and information input to the application.

  For example, a case where the application information received by the complementary region determination unit 406 is information indicating that the application operates on a movable apparatus will be described. In this case, for example, it is assumed that a user who uses a mobile phone terminal or the like is using the application. For example, this is the case when the user is trying to display the position of a surrounding taxi on the screen of the mobile phone terminal. In this case, it is preferable that the difference (delay time) between the time on the time axis in real time and the time displayed on the screen (time on the application time axis) is small. Therefore, the complementary region determination unit 406 further reduces the length τ of the complementary region based on the application information.

  Further, for example, a case will be described in which the application information received by the supplemental area determination unit 406 is information indicating that the application operates on a device such as a desktop personal computer or a server. When an application is operated on such a server, examples of a user who uses the application include a taxi dispatch operator. In this case, it is preferable that the accuracy of the position of the vehicle is higher. Therefore, the complementary region determination unit 406 increases the length τ of the complementary region based on this application information.

  Further, for example, a case where the application information received by the complementary region determination unit 406 is a vehicle position and map information indicating a map to be displayed on the screen together with the vehicle position will be described. In this case, the supplemental area determination unit 406 identifies the type of road (highway, national road, prefectural road, ordinary road, residential area, etc.) where the vehicle is located from the map information and the position of the vehicle. Τ may be determined according to the type of road.

  In addition, for example, when the application information received by the complementary region determination unit 406 is information input to the application, and the input content is such that the scale of the map is changed to be larger than the current scale. Will be described. In this case, as described above, it is preferable that the accuracy of the position of the vehicle is higher. Therefore, the complementary region determination unit 406 increases the length τ of the complementary region based on this application information. As a result, the proportion of the complementary data in the output data is increased, so that the accuracy of the output data is improved.

  Further, the complementary region determination unit 406 may determine τ based on the difference output from the difference calculation unit 309 and the application information. For example, a case where the application information is information input to the application, and the input content is a content of changing the map scale to be larger than the current scale, and the case where the difference is large will be described. . In this case, since the accuracy of the output data is low, the complementary region determination unit 406 may calculate τ so as to be a larger value than τ calculated based only on the application information.

  Further, the complementary region determination unit 406 may unify the length τ of the complementary region among the vehicles. At this time, the complementary region determination unit 406 may determine this τ based on the application information. For example, when the number of vehicles is included in the application information, the supplemental area determination unit 406 may determine whether to unify τ among the vehicles according to the number of vehicles. For example, when the number of vehicles is larger than a predetermined value, the complementary region determination unit 406 may unify τ among the vehicles, and otherwise, calculate τ for each vehicle.

  Note that the complementary region determination unit 406 may determine whether or not to change the complementary region based on the application information.

[Description of operation]
Next, with reference to FIG. 11 and FIG. 12, the operation of the management apparatus 400 of the system 3 according to the present embodiment will be described. Note that the reception process of the management apparatus 400 in the present embodiment is the same process as the reception process of the management apparatus 300 described with reference to FIG. Note that the application information reception process, the data generation process, and the reception process in FIG. 8 described below are asynchronous processes.

  FIG. 11 is a flowchart illustrating an example of application information reception processing in the information acquisition unit 410 of the management apparatus 400 according to the present embodiment. As shown in FIG. 11, the information acquisition unit 410 performs an initialization process (step S111). In this initialization process, the information acquisition unit 410 makes the application information available.

  Next, the information acquisition unit 410 acquires application information (step S112). Note that the information acquisition unit 410 may store the acquired application information in itself or in the storage unit 204. Then, the information acquisition unit 410 outputs the acquired application information to the complementary region determination unit 206 (step S113). And the information acquisition part 410 returns a process to step S112, and repeats step S112 and step S113.

  In addition, although the application information acquisition process shown in FIG. 11 is a blocking process, this Embodiment is not limited to this. The information acquisition unit 410 may poll application information periodically.

  Next, data generation processing of the management apparatus 400 will be described with reference to FIG. FIG. 12 is a flowchart illustrating an example of data generation processing in the management apparatus 400 according to the present embodiment. In the following, an application that displays the vehicle position on the screen of the display unit 230 will be described as an example of an application that operates on the management apparatus 400.

  When the initialization process (step S41) illustrated in FIG. 8 is completed, as illustrated in FIG. 12, the time management unit 208 is the time axis managed and the time on the time axis of the application operating on the management apparatus 200. Is advanced by one step (step S51).

  Next, the complementary area determination unit 406 determines whether or not to change the complementary area (step S52). If it is determined that the supplemental area is to be changed (YES in step S52), supplemental area determination unit 406 checks whether application information has been received (step S121).

  If application information has not been received (NO in step S121), management device 400 executes the processing from step S91 onward in FIG. If application information has been received (YES in step S121), the supplemental area determination unit 406 checks whether or not the difference calculation result by the difference calculation unit 309 has been received (step S122).

  In addition, when the complementary area | region determination part 406 performs determination of step S52 based on application information, step S121 may be performed before step S52. In this case, when the management apparatus 400 has not received the application information and changes the supplemental area, the management apparatus 400 performs the processing of S91 and above in FIG. 9, receives the application information, and does not change the supplemental area. Then, the processing after step S55 is performed. In the above case, when the management apparatus 400 receives the application information and changes the supplemental area, the management apparatus 400 performs the processing from step S122 onward.

  When the calculation result has not been received (NO in step S122), the complementary region determining unit 306 determines the length (that is, τ) of the new complementary region using the application information (step S123).

  When the calculation result is received (YES in step S122), the complementary region determining unit 306 determines the length of the new complementary region using the application information and the received calculation result (step S124).

  After step S123 or step S124 is completed, the management apparatus 400 performs the data generation process (steps S54 to S58) in the first embodiment described above.

  Then, the management apparatus 400 repeats this process until a predetermined timing or application ends.

〔effect〕
According to the management apparatus 400 according to the present embodiment, the same effects as those of the management apparatuses according to the first and second embodiments described above can be obtained.

  Further, the information acquisition unit 410 of the management apparatus 400 according to the present embodiment acquires application information (output destination information) related to the output destination (application) of the output data. Then, the complementary region determination unit 406 determines the delay time (τ) of the time on the other time axis with respect to the time on the time axis in the real world based on the application information.

  Thereby, the complement region determination unit 406 can determine τ according to the characteristics of the output destination. Therefore, the trade-off between the accuracy of the output data and the delay time can be controlled.

<Fourth embodiment>
Next, a fourth embodiment of the present invention will be described with reference to the drawings. In this embodiment, a minimum configuration that solves the problems of the present invention will be described. FIG. 13 is a functional block diagram illustrating an example of a functional configuration of the data processing apparatus according to the present embodiment. As illustrated in FIG. 13, the data processing device 10 according to the present embodiment includes a reception unit 11, a prediction unit 12, a complementing unit 13, a control unit 15, and a determination unit 16. The data processing apparatus 10 according to the present embodiment has the same functions as the management apparatus 200, the management apparatus 300, and the management apparatus 400 described above.

  For example, the receiving unit 11 receives measurement data indicating a measurement position of a moving object such as a vehicle. The reception unit 11 outputs the received measurement data to the prediction unit 12 and the complement unit 13.

  The determination unit 16 determines a delay time of a time on another time axis that is an output destination time axis of output data to be described later with respect to a time on the time axis in the real world. The output data is, for example, data provided to the application as input data of an application that operates on the data processing apparatus 10. The time axis of the output destination of output data is the time axis on this application.

  In the control unit 15, another time that is a time on another time axis is included in a period from another measurement time that is a time on another time axis at the same time as the measurement time of the measurement data to a time after the delay time. It is determined whether or not. For example, when the control unit 15 is described with reference to FIG. 2, another time (for example, T2 or T3) is delayed from another measurement time (Tk) at the same time as the measurement time (tk) of the measurement data ( It is determined whether or not it is included in the period until (τ).

  Thereafter, the control unit 15 outputs prediction data or complementary data, which will be described later, calculated based on the determination result as output data.

  When the control unit 15 determines that the other time is not included in the period, the prediction unit 12 determines, based on the measurement data, the time on the time axis in the real world at substantially the same time as the other time. Prediction data indicating the predicted position of the moving object, which is measurement data expected to be obtained when measurement is performed, is calculated. Referring to FIG. 2, when the other time is T3, the T3 is not included in the period. Therefore, the prediction unit 12 uses the measurement data to calculate the real world at the same time as the other time T3. Prediction data of time on the time axis is calculated.

  When the control unit 15 determines that another time is included in the period, the complementing unit 13 performs an immediate value at a time on the time axis in the real world that is substantially the same time as the other time. Complement data representing the position of the moving object, which is measurement data expected to be obtained, is calculated. If it demonstrates using FIG. 2, when other time is T2, since this T2 is contained in the said period, the complement part 13 will calculate the supplement data in other time T2 based on measurement data. At this time, the complementing unit 13 calculates complementary data based on the measurement data and at least one of the prediction data already calculated by the prediction unit 12 and other complementary data previously calculated by the complementing unit 13.

  Thereby, even when the data processor 10 does not receive the measurement data, the prediction unit 12 can predict the position of the vehicle. Therefore, the control part 15 can output this estimated position to the application which displays a vehicle position, for example.

  In addition, when it is determined that another time is included in the complementary region (that is, when the other time is T2 in FIG. 2), the complementing unit 13 uses the measurement data already received by the receiving unit 11. To calculate complementary data.

  As described above, since the complementary data is calculated using the actually measured measurement data, it is possible to improve the accuracy of the output data output from the control unit 15 to the application.

  Therefore, according to the management apparatus 200 according to the present embodiment, even when the frequency of uploading measurement data indicating the position of the moving object is low, highly accurate data indicating the position of the moving object is output. Can do.

(About hardware configuration)
In addition, each part of the management apparatus (200, 300, 400) shown in FIGS. 1, 7, and 10 and the data processing apparatus 10 shown in FIG. 13 may be realized by the hardware resources illustrated in FIG. . That is, the configuration shown in FIG. 14 includes a RAM (Random Access Memory) 91, a ROM (Read Only Memory) 92, a communication interface 93, a storage medium 94, and a CPU 95. The CPU 95 reads out various software programs (computer programs) stored in the ROM 92 or the storage medium 94 to the RAM 91 and executes them, thereby performing the overall operation of the management device (200, 300, 400) and the data processing device 10. Control. That is, in each embodiment described above, the CPU 95 executes a software program that executes each function (each unit) included in the management device (200, 300, 400) and the data processing device 10 while referring to the ROM 92 or the storage medium 94 as appropriate. To do.

  In addition, the present invention described by taking each embodiment as an example provides the management program (200, 300, 400) and the data processing apparatus 10 with a computer program that can realize the functions described above, and then the computer program Is achieved by the CPU 95 reading it into the RAM 91 and executing it.

  The supplied computer program may be stored in a computer-readable storage device such as a readable / writable memory (temporary storage medium) or a hard disk device. In such a case, the present invention can be understood as being configured by a code representing the computer program or a storage medium storing the computer program.

  In each of the above-described embodiments, the function shown in each block in the management apparatus (200, 300, 400) shown in FIGS. 1, 7, and 10 and the data processing apparatus 10 shown in FIG. As an example of executing the above, a case where it is realized by a software program has been described. However, some or all of the functions shown in the blocks shown in FIGS. 1, 7, 10, and 13 may be realized as hardware circuits.

  Each of the above-described embodiments is a preferred embodiment of the present invention, and the scope of the present invention is not limited only to the above-described embodiments, and those skilled in the art do not depart from the gist of the present invention. However, it is possible to construct a form in which various modifications are made by correcting or substituting the above-described embodiments.

  A part or all of the above embodiments can be described as in the following supplementary notes, but is not limited thereto.

  (Appendix 1) Receiving means for receiving measurement data indicating a measurement position of a moving object, and determining a delay time of a time on another time axis, which is a time axis of an output destination of output data, relative to a time on the time axis in the real world And another time that is a time on the other time axis is from another measurement time that is a time on the other time axis at substantially the same time as the measurement time of the measurement data, until after the delay time. Control means for determining whether or not it is included in the period of time, and when the control means determines that the other time is not included in the period, it is abbreviated as the other time based on the measurement data. When the prediction means for calculating prediction data indicating the predicted position of the moving object at the same time in the time axis of the real world and the control means determine that the other time is included in the period , Approximately the same time as the other time Complementing means for calculating complementary data indicating the position of the moving object at a time in the real world time axis, the complementing means comprising at least one of the prediction data and the other complementary data, and the measurement The complementary data is calculated based on the data, and the control means outputs the predicted data or the complementary data calculated based on the determination result as the output data. apparatus.

  (Additional remark 2) When the said complement means calculates the said supplement data in said other time, it is after the said other measurement time relevant to the said period which the said control means used for determination, and said other When the reception means receives measurement data at a second measurement time on the real-world time axis that is substantially the same as the second other measurement time that is a time before the time of The complementary data at the other time is calculated based on the complementary data at the second other measurement time and the measurement data received by the receiving unit at the second measurement time. The data processing apparatus according to appendix 1.

  (Additional remark 3) It further has a memory | storage means to store the 1 or more calculation model used when calculating the said complementary data, and the range of the value of the measurement data linked | related with each calculation model, The said complementary means The data processing device according to appendix 1 or 2, wherein the complementary data is calculated using the calculation model associated with the range including the value of the measurement data.

  (Additional remark 4) It further has the difference calculation means which calculates the difference of the said output data and the measurement data in the time substantially the same as the other time relevant to the said output data, The said determination means is calculated by the said difference calculation means The data according to any one of appendices 1 to 3, wherein a delay time of the time of the other time axis is determined with respect to the time of the real world time axis based on the difference obtained Processing equipment.

  (Supplementary note 5) The data processing device according to supplementary note 4, wherein the determination unit determines the delay time based on one or more differences calculated in the past by the difference calculation unit.

  (Additional remark 6) The said determination means determines the said delay time with respect to all the said moving objects based on the said difference calculated for every said moving objects using the measurement data of several said moving objects. The data processing device according to appendix 4 or 5, characterized by the above.

  (Additional remark 7) The information acquisition means which acquires the output destination information regarding the output destination of the said output data is further provided, The said determination means is based on the said output destination information which the said information acquisition means acquired. The data processing device according to any one of appendices 1 to 6, wherein a delay time of the time of the other time axis with respect to the time of the other is determined.

  (Supplementary Note 8) The output destination information is at least one of information indicating an execution environment of the output destination, information on data output by the output destination, and information input to the output destination. The data processing device according to appendix 7.

(Appendix 9)
The determining means determines whether to change the delay time based on the output destination information, and determines that the delay time is newly determined when it is determined to change the delay time. The data processing apparatus according to appendix 7 or 8.

(Appendix 10)
The data processing apparatus according to any one of appendices 1 to 9, further comprising time management means for managing the time of the real world time axis and the time of the other time axis.

(Appendix 11)
The data processing apparatus according to any one of appendices 1 to 10, further comprising storage means for storing at least one of the measurement data and the output data.

  (Additional remark 12) It is provided with the vehicle-mounted terminal mounted in the moving object, and the data processing apparatus connected so that communication with this vehicle-mounted terminal was possible, The said vehicle-mounted terminal measured the position of the said moving object, The said measurement Transmitting means for transmitting the measurement data indicating the measurement position of the moving object measured by the means, and the data processing device is configured to receive the measurement data, and to receive the time on the time axis in the real world. Determining means for determining the delay time of the time on the other time axis that is the time axis of the output destination of the output data, and the other time that is the time on the other time axis is substantially simultaneously with the measurement time of the measurement data Control means for determining whether or not it is included in a period from the other measurement time that is the time of the point on the other time axis to the time after the delay time, and the control means includes the other time in the period Not included A prediction means for calculating prediction data indicating a predicted position of the moving object at a time on the time axis in the real world at substantially the same time as the other time based on the measurement data, When the means determines that the other time is included in the period, it calculates complementary data indicating the position of the moving object at the time on the time axis in the real world at substantially the same time as the other time. Complementing means, wherein the complementing means calculates the complemented data based on at least one of the prediction data and the other complemented data and the measurement data, and the control means is based on the determination result. And outputting the prediction data or the complementary data calculated as described above as the output data.

  (Supplementary Note 13) Receiving measurement data indicating a measurement position of a moving object, determining a delay time of a time on another time axis, which is a time axis of an output destination of output data, relative to a time on the time axis in the real world, Whether another time that is a time on another time axis is included in a period from the other measurement time that is a time on the other time axis substantially at the same time as the measurement time of the measurement data to the period after the delay time And when it is determined that the other time is not included in the period, based on the measurement data, the time on the time axis in the real world at substantially the same time as the other time. , Calculating prediction data indicating the predicted position of the moving object, and when the other time is determined to be included in the period, the time on the time axis in the real world at substantially the same time as the other time Complementary data indicating the position of the moving object The prediction data or the complementary data calculated based on the determination result is output as the output data. In the calculation of the complementary data, at least one of the prediction data and the other complementary data, and the measurement A data processing method characterized in that the complementary data is calculated based on the data.

  (Additional remark 14) The process which receives the measurement data which shows the measurement position of a moving object, and the delay time of the time of the other time-axis which is the time axis of the output destination of output data with respect to the time of the real-world time-axis are determined. Processing and another time that is the time on the other time axis is a period from the other measurement time that is the time on the other time axis that is substantially the same time as the measurement time of the measurement data to after the delay time And when the other time is determined not to be included in the period, based on the measurement data, the real world at substantially the same time as the other time. When it is determined that the process of calculating the prediction data indicating the predicted position of the moving object at the time on the time axis of the time and the other time is included in the period, the time is substantially the same as the other time. The time of the real world time axis A process for calculating complementary data indicating the position of a moving object and a process for outputting the prediction data or the complementary data calculated based on a determination result as the output data are executed by a computer, and the complementary data The program for calculating the complementary data is based on at least one of the prediction data and the other complementary data, and the measurement data.

DESCRIPTION OF SYMBOLS 1 System 2 System 3 System 100 Car-mounted terminal 101 Measurement part 102 Communication part 200 Management apparatus 201 Reception part 202 Prediction part 203 Complement part 204 Storage part 205 Control part 206 Complementary area determination part 208 Time management part 300 Management apparatus 306 Area determination part 309 Difference calculation unit 400 Management device 410 Information acquisition unit 230 Display unit 10 Data processing device 11 Reception unit 12 Prediction unit 13 Supplementation unit 15 Control unit 16 Determination unit

Claims (10)

Receiving means for receiving measurement data indicating the measurement position of the moving object;
A determination means for determining a delay time of a time of another time axis that is a time axis of an output destination of the output data with respect to a time of the real world time axis;
The other time that is the time on the other time axis is included in the period from the other measurement time that is the time on the other time axis substantially at the same time as the measurement time of the measurement data to the time after the delay time. Control means for determining whether or not,
When the control means determines that the other time is not included in the period, based on the measurement data, the movement of the time on the time axis in the real world at substantially the same time as the other time A prediction means for calculating prediction data indicating a predicted position of the object;
When the control means determines that the other time is included in the period, complementary data indicating the position of the moving object at the time on the real-world time axis at substantially the same time as the other time. And a complementary means for calculating,
The complement means calculates the complement data based on at least one of the prediction data and the other complement data and the measurement data,
The control means outputs the prediction data or the complementary data calculated based on the determination result as the output data. When the complementary means calculates the complementary data at the other time, the control means is after the other measurement time related to the period used for the determination and before the other time. When the receiving means receives measurement data at a second measurement time on the real time axis at substantially the same time as the second other measurement time that is the time of
The complementary means calculates the complementary data at the other time based on the complementary data at the second other measurement time and the measurement data received by the receiving means at the second measurement time. The data processing apparatus according to claim 1, wherein: A difference calculating means for calculating a difference between the output data and measurement data at substantially the same time as another time related to the output data;
The said determination means determines the delay time of the time of the said other time axis with respect to the time of the said real world time axis based on the said difference calculated by the said difference calculation means. 3. A data processing apparatus according to 1 or 2.   The data processing apparatus according to claim 3, wherein the determination unit determines the delay time based on one or more differences calculated in the past by the difference calculation unit.   The determination means determines the delay time for all the moving objects based on the difference calculated for each moving object using measurement data of a plurality of the moving objects. The data processing apparatus according to claim 3 or 4. Further comprising information acquisition means for acquiring output destination information relating to the output destination of the output data;
The determination means determines a delay time of the time on the other time axis with respect to the time on the time axis in the real world, based on the output destination information acquired by the information acquisition means. Item 6. The data processing device according to any one of Items 1 to 5.   The output destination information is at least one of information indicating an execution environment of the output destination, information on data output by the output destination, and information input to the output destination. The data processing apparatus described. An in-vehicle terminal mounted on a moving object, and a data processing device connected to be communicable with the in-vehicle terminal;
The in-vehicle terminal is
Measuring means for measuring the position of the moving object;
Transmitting means for transmitting measurement data indicating the measurement position of the moving object measured by the measurement means;
The data processing device includes:
Receiving means for receiving the measurement data;
A determination means for determining a delay time of a time of another time axis that is a time axis of an output destination of the output data with respect to a time of the real world time axis;
The other time that is the time on the other time axis is included in the period from the other measurement time that is the time on the other time axis substantially at the same time as the measurement time of the measurement data to the time after the delay time. Control means for determining whether or not,
When the control means determines that the other time is not included in the period, based on the measurement data, the movement of the time on the time axis in the real world at substantially the same time as the other time A prediction means for calculating prediction data indicating a predicted position of the object;
When the control means determines that the other time is included in the period, complementary data indicating the position of the moving object at the time on the real-world time axis at substantially the same time as the other time. And a complementary means for calculating,
The complement means calculates the complement data based on at least one of the prediction data and the other complement data and the measurement data,
The control means outputs the prediction data or the complementary data calculated based on a determination result as the output data. Receive measurement data indicating the measurement position of a moving object,
Decide the delay time of the time of the other time axis that is the time axis of the output destination of the output data with respect to the time of the real world time axis,
The other time that is the time on the other time axis is included in the period from the other measurement time that is the time on the other time axis substantially at the same time as the measurement time of the measurement data to the time after the delay time. Whether or not
When it is determined that the other time is not included in the period, based on the measurement data, the prediction of the moving object of the time on the time axis in the real world at substantially the same time as the other time Calculate the prediction data indicating the position,
When it is determined that the other time is included in the period, the supplemental data indicating the position of the moving object at the time on the time axis in the real world at substantially the same time as the other time is calculated.
The prediction data or the complementary data calculated based on the determination result is output as the output data,
In the calculation of the complementary data, the complementary data is calculated based on at least one of the prediction data and the other complementary data and the measurement data. A process of receiving measurement data indicating the measurement position of the moving object;
A process for determining the delay time of the time on the other time axis, which is the time axis of the output destination of the output data, with respect to the time on the time axis in the real world;
The other time that is the time on the other time axis is included in the period from the other measurement time that is the time on the other time axis substantially at the same time as the measurement time of the measurement data to the time after the delay time. Processing to determine whether or not,
When it is determined that the other time is not included in the period, based on the measurement data, the prediction of the moving object of the time on the time axis in the real world at substantially the same time as the other time A process for calculating prediction data indicating a position;
When it is determined that the other time is included in the period, a process of calculating complementary data indicating the position of the moving object at the time on the time axis in the real world at substantially the same time as the other time When,
The computer executes the process of outputting the prediction data or the complementary data, which is calculated based on the determination result, as the output data,
The program for calculating the complementary data calculates the complementary data based on at least one of the prediction data and the other complementary data and the measurement data.

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