JP6896117B2 - Information processing equipment, information processing methods and information processing programs - Google Patents

Description

The present application belongs to the technical fields of information processing devices, information processing methods, and information processing programs. More specifically, the information processing devices and information processing methods that perform processing related to moving objects, and the technology of programs for the information processing devices. Belongs to the field.

In recent years, it has been studied to mutually use map data by communicating between two or more vehicles within a communicable distance, for example, to improve the accuracy of alerting for safe driving. In the following description, communication between two or more vehicles within a communicable distance is simply referred to as "vehicle-to-vehicle communication". Examples of documents that disclose the prior art for such vehicle-to-vehicle communication include the following Patent Document 1. In the prior art described in Patent Document 1, the position of another vehicle is matched with a map by vehicle-to-vehicle communication, the resulting map is displayed, and whether or not the traveling condition of the other vehicle complies with the road environment is determined. It is configured to make a judgment and display the judgment result.

International Publication No. 2010-95236

However, in the prior art disclosed in Patent Document 1, once the inter-vehicle communication is interrupted, the vehicle information of another vehicle cannot be received, and the position and speed of the other vehicle cannot be displayed. There was a problem.

Therefore, the present application has been made in view of the above problems, and one example of the problem is information capable of accurately performing various processes on a vehicle in which communication is interrupted even when inter-vehicle communication is interrupted. It is an object of the present invention to provide a processing apparatus, an information processing method, and a program for the information processing apparatus.

In order to solve the above problem, the invention according to claim 1 comprises an acquisition means for acquiring mobile information of another mobile by wireless communication and a first mobile among the other mobiles. between the radio communication is interrupted between until a predetermined time elapses, and a prediction means for predicting at least one of the speed or position of the first moving body after those該途absolute, the predicted When the forward moving body information, which is the moving body information of the forward moving body that moves in front of the first moving body while satisfying a predetermined condition, is acquired, the means is based on the forward moving body information. If at least one of the speed and the position of the 1 moving body is predicted and the forward moving body information is not acquired, the first moving body information is obtained based on the moving body information acquired from the first moving body by the interruption. 1 predicts at least one of the speed or position of the moving body, and is configured to change the predetermined time according to the said mobile body information obtained from the first movable body by the developing Zemma To.

In order to solve the above problem, the invention according to claim 8 is an information processing method executed in an information processing apparatus including an acquisition means and a prediction means, wherein the acquisition means is another mobile. The acquisition process of acquiring the mobile body information of the body by wireless communication and the prediction means from the interruption of the wireless communication with the first mobile body among the other mobile bodies until a predetermined time elapses. during comprises a prediction step of predicting at least one of the speed or position of the first moving body after those該途absolute and, in the prediction step, in front of the first movable body, while satisfying the predetermined condition When the forward moving body information, which is the moving body information of the moving forward moving body, is acquired, at least one of the speed and the position of the first moving body is predicted based on the forward moving body information. When the forward moving body information is not acquired, at least one of the speed and the position of the first moving body is predicted based on the moving body information acquired from the first moving body by the interruption. and configured to change the predetermined time according to the said mobile body information obtained from the first movable body by the developing Zemma.

In order to solve the above problem, the invention according to claim 9 is an acquisition means for acquiring mobile information of another mobile by wireless communication from a computer included in an information processing device, that is, the other mobile . the period from the wireless communication is interrupted until a predetermined time elapses, the prediction for predicting at least one of the speed or position of the first moving body after those該途absolute between the first moving body of which means, to function as, the computer functioning as the prediction unit, the front mobile body information is the front of the first moving body and the mobile body information of the front movable body that moves while satisfying the predetermined condition is obtained In that case, at least one of the speed and the position of the first moving body is predicted based on the forward moving body information, and if the forward moving body information is not acquired, the first movement is performed by the interruption. based on the moving body information obtained from the body to predict at least one of the speed or position of the first movable body and the moving body obtained from the first movable body by the developing Zemma It functions to change the predetermined time according to the information.

It is a block diagram which shows the outline structure of the information processing apparatus which concerns on embodiment. It is a block diagram which shows the outline structure of the vehicle-to-vehicle communication system which concerns on Example. It is a block diagram which shows the outline structure of the terminal apparatus which concerns on Example. It is a flowchart which shows the driving support process which concerns on Example. It is a conceptual diagram (I) illustrating the traveling support process according to the embodiment, (a) is a diagram showing a first example, (b) is a diagram showing a second example, and (c) is a diagram showing a third example. It is a figure which shows an example. It is a conceptual diagram (II) illustrating the traveling support process according to the embodiment, (a) is a diagram showing a fourth example, and (b) is a diagram showing a fifth example.

Next, a mode for carrying out the present application will be described with reference to FIG. Note that FIG. 1 is a block diagram showing an outline configuration of the information processing apparatus according to the embodiment.

As shown in FIG. 1, the information processing device S according to the embodiment is an information processing device that is used by a mobile body and can exchange information with and from another mobile body by wireless communication, and is an acquisition means 1. The determination means 2, the prediction means 3, and the movement support means 4 are provided. In this case, the "moving body" includes a vehicle as a means of transportation such as an automobile, a two-wheeled vehicle, and a bicycle, as well as a person who moves by carrying the movement support device S according to the embodiment.

In this configuration, the acquisition means 1 acquires the moving body information corresponding to the other moving body from the other moving body. On the other hand, the determination means 2 determines whether or not the wireless communication with the other mobile body is interrupted.

Then, when the wireless communication with the other mobile body is interrupted, the predictive means 3 obtains the mobile body information received up to the interruption from the communication interrupted mobile body which is another vehicle in which the wireless communication is interrupted. Based on this, at least one of the speed or position of the communication disrupted mobile after the disruption is predicted.

Then, the movement support means 4 uses at least one of the predicted speeds and positions after the interruption to provide movement support regarding the movement of the moving body in which the information processing device S is used.

As described above, according to the operation of the information processing device S according to the embodiment, when the wireless communication with the communication blackout mobile body is interrupted, the mobile body received from the communication blackout mobile body by the interruption. Based on the information, at least one of the speed or position of the communication blackout mobile body after the interruption is predicted, and the movement of the mobile body in which the information processing device S is used is used by using at least one of the predicted speeds. We will provide mobile support for. Therefore, by predicting the speed of the communication blackout mobile after the interruption using the mobile information received before the wireless communication interruption, it is possible to accurately support the movement of the communication blackout after the interruption. it can.

Next, specific examples corresponding to the above-described embodiments will be described with reference to FIGS. 2 to 6. The embodiment described below is a case where the embodiment is applied to an inter-vehicle communication system that supports the traveling of the vehicle by a terminal device mounted on each vehicle corresponding to an example of the mobile body according to the embodiment. It is an embodiment.

Further, FIG. 2 is a block diagram showing an outline configuration of an inter-vehicle communication system according to an embodiment, and FIG. 3 is a block diagram showing an outline configuration of a terminal device according to an embodiment. Further, FIG. 4 is a flowchart showing the traveling support processing according to the embodiment, and FIGS. 5 and 6 are conceptual diagrams illustrating the traveling support processing, respectively. At this time, in FIG. 3, for each of the constituent members of the embodiment corresponding to each constituent member in the information processing apparatus S according to the embodiment shown in FIG. 1, the same member number as each constituent member in the information processing apparatus S is used. ing.

As shown in FIG. 2, the vehicle-to-vehicle communication system CS according to the embodiment is a terminal device SS mounted on the vehicle C, and various data can be connected by direct wireless communication via the antenna AT. It is composed of a terminal device SS that can be exchanged. Here, the terminal device SS constituting the vehicle-to-vehicle communication system CS itself records map data for guidance, and it is possible to perform guidance processing of the vehicle C using the map data.

Next, the configuration and outline operation of the terminal device SS according to the embodiment will be described with reference to FIG.

As shown in FIG. 3, the terminal device SS according to the embodiment has an interface 1 connected to an antenna AT, a processing unit 4 including a CPU, a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and volatilization. The current position and progress of the vehicle C including a recording unit 11 having a sex region and a non-volatile region and recording the map data for guidance, an operation unit 12 including operation buttons or a touch panel, and a terminal device SS. A sensor unit 13 composed of various sensors for detecting direction, speed, and mileage, and a display 14 composed of a liquid crystal display or the like for displaying a guidance image, a map image, or the like necessary for guidance processing by the terminal device SS. , Consists of. At this time, the interface 1 corresponds to an example of the acquisition means 1 according to the embodiment, and the processing unit 4 corresponds to an example of the movement support means 4 according to the embodiment.

Further, the processing unit 4 is composed of a determination unit 2 corresponding to an example of the determination means 2 according to the embodiment and a prediction unit 3 corresponding to an example of the prediction means 3 according to the embodiment. At this time, the determination unit 2 and the prediction unit 3 may be realized by the hardware logic circuits constituting the processing unit 4, respectively, or the processing unit 4 reads out and executes a running support processing program described later. It may be executed by software. Further, the interface 1, the determination unit 2 and the prediction unit 3 of the processing unit 4 constitute an example of the information processing device S according to the embodiment (see the broken line in FIG. 3).

In the above configuration, the interface 1 controls the transfer of data to and from the other terminal device SS under the control of the processing unit 4. Further, the recording unit 11 temporarily stores data and the like necessary for the processing unit 4 to execute the traveling support process according to the embodiment, records the map data and the like, and causes the processing unit 4 to read the map data and the like as needed. Further, the sensor unit 13 detects the current position of the terminal device SS by, for example, autonomously or by receiving a navigation radio wave from a GPS (Global Positioning System) navigation satellite, and obtains the current position data indicating the current position. Output to the processing unit 4. Further, the sensor unit 13 autonomously detects the speed, traveling direction, mileage, etc. of the vehicle C, and outputs speed data or the like indicating the speed to the processing unit 4. Further, the operation unit 12 is operated in response to the operation or the like by executing an operation or the like for designating the operation as the terminal device SS (the operation of the traveling support processing or the operation of the guidance processing according to the embodiment). The signal is output to the processing unit 4. As a result, the processing unit 4 executes the above-mentioned guidance processing and the traveling support processing according to the embodiment while displaying necessary information, a map image, or the like on the display 14. At this time, the determination unit 2 and the prediction unit 3 of the processing unit 4 play a central role in executing the traveling support processing.

Next, the traveling support process according to the embodiment will be described more specifically with reference to FIGS. 3 to 6. The traveling support process according to the embodiment is started, for example, triggered by the start operation performed by the operation unit 12. Further, in the following description, the vehicle C equipped with the terminal device SS on which the traveling support processing shown in FIGS. 3 to 6 is executed is referred to as "own vehicle C0". Further, other vehicles C described later other than the own vehicle C0 are referred to as vehicle C1, vehicle C2, ..., Vehicle Cn (n is a natural number). Further, when explaining common matters regarding the own vehicle C0 to the vehicle Cn, it is simply referred to as "vehicle C".

That is, as shown in FIG. 4, the traveling support process according to the embodiment is, for example, when the start operation is performed, the processing unit 4 first connects the interface 1 and the terminal device SS of another vehicle Cn via the antenna AT. The data required for the driving support process is acquired by direct wireless communication (vehicle-to-vehicle communication) (step S1). The data acquired from the other terminal device SS in step S1 includes, for example, source identification data, destination identification data, current position data, type data, shape data, trajectory data, distance data, speed data, acceleration data, and the like. include. At this time, the source identification data is data for identifying the vehicle C on which the other terminal device SS is mounted from the other vehicle C. Further, the destination identification data is data for identifying the own vehicle C0 on which the terminal device SS, which is the transmission destination (destination), is mounted from the other vehicle Cn. Further, the current position data is data indicating the current position of the vehicle Cn on which the other terminal device SS is mounted. Further, the type data is data indicating the type of the road on which the vehicle Cn is currently traveling (for example, the type of whether the vehicle is traveling on a general road or an expressway). Further, the shape data is data indicating the shape of the road on which the vehicle Cn is currently traveling by, for example, so-called link data and node data. Further, the locus data is data showing the running history (running locus) of the vehicle Cn. Further, the distance data is the distance between the vehicle C on which the terminal device SS is mounted (for example, when the own vehicle C0 and another vehicle Cn are traveling on the same road in the same direction, the distance between the two vehicles). It is the data to show. The type data and shape data are transmitted because the vehicle Cn on which the terminal device SS is mounted records map data for guidance processing. Next, the speed data is data indicating the speed of another vehicle Cn. Finally, the acceleration data is data indicating the acceleration (particularly in the front-rear direction) applied to another vehicle Cn.

When the reception of various data is started in step S1, the processing unit 4 executes safe driving support processing or the like for the own vehicle C0 using the received data (step S2). The safe driving support process according to step S2 detects, for example, the inter-vehicle distance to another vehicle Cn traveling in front of and behind the own vehicle C0 by using the distance data or the current position data received from the vehicle Cn. Processing such as warning the driver of the own vehicle C0 when the inter-vehicle distance becomes equal to or less than a preset dangerous distance is included, and these are examples of movement support in the movement support means 4 according to the embodiment.

Next, the determination unit 2 of the processing unit 4 determines whether or not the vehicle-to-vehicle communication with a certain vehicle Cn is interrupted (step S3). More specifically, when the determination unit 2 cannot receive the data from the vehicle Cn for a preset first threshold time, for example, the determination unit 2 determines that the vehicle-to-vehicle communication with the vehicle Cn is interrupted. The first threshold time in this case is a threshold time corresponding to a communication cycle in vehicle-to-vehicle communication, or a threshold time corresponding to a time obtained by adding a predetermined margin of error time to the communication cycle. The more specific first threshold time is, for example, about 1 second. If it is determined in step S3 that the vehicle-to-vehicle communication is not interrupted (step S3; NO), the processing unit 4 returns to step S1 and continues the necessary vehicle-to-vehicle communication.

On the other hand, when it is determined in the determination of step S3 that the inter-vehicle communication is interrupted (step S3; YES), the determination unit 2 then presets the interruption time, which is the elapsed time from the interruption of the inter-vehicle communication. It is determined whether or not the time is longer than the second threshold time (step S4). The second threshold time in this case is, for example, about 2 to 3 seconds. In the determination of step S4, when the interruption time is less than the second threshold time (step S4; NO), the prediction unit 3 of the processing unit 4 determines the position or speed of the vehicle Cn in which the inter-vehicle communication is interrupted. Predict at least one of them (step S6). The process of step S6 will be described later with reference to FIGS. 5 and 6. After that, the processing unit 4 uses at least one of the positions and speeds predicted in step S6 to determine the relationship between the vehicle Cn and the own vehicle C0 in which vehicle-to-vehicle communication is interrupted for a time equal to or less than the second threshold time. The safe driving support process and the like are executed (step S7). The safe driving support process according to step S7 is, for example, calculating the inter-vehicle distance with the vehicle Cn calculated from the relationship between the predicted position of the vehicle Cn and the current position of the own vehicle C0, and the inter-vehicle distance is the threshold distance. In the following cases, a process of alerting the driver of the own vehicle C0 and a process of displaying a position mark indicating the predicted position of the vehicle Cn on the display 14 together with the corresponding map are included. Since the position of the vehicle Cn is a position based on the prediction, the threshold distance in this case is preferably set longer than, for example, the above-mentioned dangerous distance according to step S2. When displaying a position mark indicating a predicted position, it is preferable to display it together with a mark indicating that the position is based on the prediction.

In addition to this, as the safe driving support process commonly related to steps S2 and S7, for example, a process of notifying the approach of another vehicle Cn that is going straight when turning right at an intersection in the own vehicle C0, and a own vehicle When C0 turns left from a pause, there is a process of informing that another vehicle Cn is approaching from the right.

After that, it is determined whether or not the traveling support process according to the embodiment is terminated because the power of the processing unit 4, for example, the terminal device SS is turned off, or the own vehicle C0 has reached the destination (step). S8). When the traveling support process is continuously executed in the determination in step S8 (step S8; NO), the processing unit 4 determines whether or not the inter-vehicle communication is restored (step S10), and if it is still not restored (step S10; NO), the process proceeds to step S4. On the other hand, when the inter-vehicle communication is restored in the determination in step S10 (step S10; YES), the processing unit 4 returns to the above step S1. On the other hand, when the travel support process according to the embodiment is terminated in the determination in step S8 (step S8; YES), the processing unit 4 terminates the travel support process as it is.

On the other hand, in the determination in step S4, when the interruption time is longer than the second threshold time (step S4; YES), the determination unit 2 of the processing unit 4 determines whether or not the inter-vehicle communication has been restored (step S9). ), If the recovery still does not occur (step S9; NO), the safe driving support process according to the prediction according to the above step S7 is not performed, and the process proceeds to another process as the terminal device SS in order to wait for the recovery due to the passage of time. On the other hand, in the determination of step S9, when the inter-vehicle communication with the interrupted vehicle Cn is restored (step S9; YES), the processing unit 4 shifts to the step S8. At this time, in step S9, when the interruption time is longer than the second threshold time, it is difficult to predict the position or speed of the vehicle Cn in which the inter-vehicle communication is interrupted (or the prediction accuracy is lowered), and erroneous safe driving support is provided. Since it causes the processing, the safe driving support processing according to step S7 is intentionally not executed.

Next, the prediction of the position of the vehicle Cn after the inter-vehicle communication interruption according to step S6 will be described more specifically.

That is, as a first example, for example, as shown on the left side of FIG. 5A, when there is another vehicle C1 traveling on the road R2 intersecting the road R1 on which the own vehicle C0 travels, the vehicle C1 and the vehicle C1 travel. When the inter-vehicle communication is interrupted, if the value of the acceleration data received from the vehicle C1 before the interruption is close to 0, the vehicle C1 travels at substantially constant speed before and after the interruption of the inter-vehicle communication (for example, 50 km / h). The position of the vehicle C1 is predicted as illustrated on the right side of FIG. 5A, assuming that the vehicle is traveling at the same speed. In this case, it may be determined whether or not the vehicle C1 is traveling at a substantially constant speed based on the trajectory data transmitted from the vehicle C1.

Next, as a second example, for example, as shown on the left side of FIG. 5B, when there is another vehicle C1 traveling on the road R2 intersecting the road R1 on which the own vehicle C0 travels, the vehicle C1 and the vehicle C1 When the vehicle-to-vehicle communication is interrupted, if the value of the acceleration data received from the vehicle C1 before the interruption is significant (that is, the vehicle C1 before the interruption has a sign of acceleration or deceleration), the vehicle C1 Is assumed to be traveling at substantially equal acceleration before and after the interruption of vehicle-to-vehicle communication while maintaining the acceleration, and predicts the position of the vehicle C1 as illustrated on the right side of FIG. 5 (b). In this case, it may be determined whether or not the vehicle C1 is traveling at substantially equal acceleration based on the trajectory data transmitted from the vehicle C1.

Next, as a third example, for example, as shown on the left side of FIG. 5C, when there is another vehicle C1 traveling in front of the road R3 on which the own vehicle C0 travels, vehicle-to-vehicle communication with this vehicle C1 If the value of the speed data received from the vehicle C1 before the interruption is the same as the speed of the own vehicle C0, the vehicle C1 maintains the speed and has substantially the same distance before and after the interruption of the inter-vehicle communication. It is assumed that the vehicle is traveling while maintaining the distance, and the position of the vehicle C1 is predicted as illustrated on the right side of FIG. 5C. This is to prevent unnecessary rear-end collision prevention guidance and the like from being executed by predicting that the inter-vehicle distance has become shorter. In this case, it may be determined whether or not the vehicle C1 is traveling at a substantially constant speed based on the trajectory data transmitted from the vehicle C1.

Next, as a fourth example, for example, as shown on the left side of FIG. 6A, when there are two vehicles C1 and C2 traveling on the road R2 intersecting the road R1 on which the own vehicle C0 travels. When the vehicle-to-vehicle communication with the vehicle C1 is interrupted, if the vehicle-to-vehicle communication with the vehicle C2 in front of the vehicle C1 is possible, only when the speeds of the vehicle C1 and the vehicle C2 in front are almost the same. Therefore, it is assumed that the vehicle C0 is also traveling at the same speed as the vehicle C2 in front, and the position of the vehicle C1 is predicted as illustrated on the right side of FIG. 6A. Here, when there is a speed difference between the vehicle C1 and the vehicle C2, if there is a sign of acceleration or deceleration for the vehicle C1 before the interruption of vehicle-to-vehicle communication, the above second example is applied, and the symptom is If not, the position is predicted by applying the above first example. In order to support safe driving, it is considered that only the position of the leading vehicle C2 can be recognized by the own vehicle C0, but it is considered that the own vehicle C0 is detected by detecting that a plurality of vehicles Cn are connected. It is also possible that the driver of the vehicle will be alerted. More specifically, for example, a motorcycle is running from behind the truck, but the motorcycle cannot be visually recognized from the own vehicle C0.

Finally, as a fifth example, for example, as shown on the left side of FIG. 6B, when there are three vehicles C1 to C3 traveling in front of the road R3 on which the own vehicle C0 travels, the vehicle among them. When the vehicle-to-vehicle communication with C1 is interrupted and the vehicle-to-vehicle communication with the vehicles C2 and C3 before and after the vehicle C1 is possible, the vehicle C1 is the average value of the speeds of the vehicle C2 and the vehicle C3, respectively. Is assumed to be traveling, and the position of the vehicle C1 is predicted as illustrated on the right side of FIG. 6B. In the case of the example shown in FIG. 6B, the vehicle C1 to the vehicle C3 is traveling in front of the own vehicle C0, but the vehicle C1 in which the inter-vehicle communication is interrupted is sandwiched between the communicable vehicle Cn. If possible, this fifth example is applicable, and therefore, it can be applied even when the vehicle C1 is traveling behind the own vehicle C0 and the inter-vehicle communication with the vehicle C1 is interrupted. Further, the fifth example is effective when, for example, a traffic light is waiting or a traffic jam occurs in front of the own vehicle C0. Further, since the speeds of the vehicles C2 and C3 before and after the vehicle C1 in which the inter-vehicle communication is interrupted need to be known in the own vehicle C0, as shown in FIG. 6B, the own vehicle C0 itself is replaced with the vehicle C3. It may be configured to predict the position of the vehicle C1 using the speed. In this case, from the viewpoint of improving the prediction accuracy, it is necessary to limit the distance between the vehicle C1 and the own vehicle C0 to be sufficiently small.

In the fourth and fifth examples above, the positional relationship between the vehicle C1 in which the inter-vehicle communication with the own vehicle C0 is interrupted and the vehicle C2 (or the vehicle C3) in which the inter-vehicle communication is not interrupted is, for example, the inter-vehicle communication is interrupted. It can be determined by executing the so-called map matching process in the own vehicle C0 before the operation. Further, it is preferable to consider that the front-rear relationship of the vehicle C once determined is basically unchanged.

Further, the first to fifth examples may be combined as follows. That is, when data from another vehicle C2 or vehicle C3 can be utilized as in the fourth or fifth example illustrated in FIG. 6, it is preferable to preferentially use them. In this case, when the vehicle C1 in which the inter-vehicle communication is interrupted is sandwiched between the other vehicle C2 and the vehicle C3 as in the fifth example, the fifth example is applied, and the vehicle in which the inter-vehicle communication is interrupted is applied. If another vehicle C2 is traveling only in front of C1, the fourth example will be applied. Further, when the vehicle-to-vehicle communication is interrupted for the vehicle C1 when only the own vehicle C0 and the vehicle C1 are performing vehicle-to-vehicle communication, the above first to third examples are applied. In this case, it is preferable to apply the order of priority in the order of, for example, the third example → the second example → the first example.

Furthermore, the second threshold time according to step S4 may be changed according to the speed before the interruption of the vehicle C1 in which the inter-vehicle communication is interrupted. In this case, after verification by experiments or the like in advance, for example, if the distance when the communication between vehicles is interrupted is 50 meters and the speed before the interruption of the vehicle C1 is 72 kilometers per hour, the vehicle C1 travels 20 meters per second. Therefore, the second threshold time is preferably about 2.5 seconds. Further, even if the distance at the time of communication interruption between vehicles is also 50 meters, if the speed before the interruption of vehicle C1 is 36 kilometers per hour, vehicle C1 will travel 10 meters per second. The second threshold time is preferably about 5 seconds.

As described above, according to the operation of the vehicle-to-vehicle communication system CS according to the embodiment, the vehicle C1 is based on the data received from the vehicle C1 before the interruption of the vehicle-to-vehicle communication with the vehicle C1. At least one of the speed or position after the interruption is predicted, and at least one of the predicted speeds or positions is used to perform processing on the vehicle C1 after the interruption. Therefore, by predicting the speed and the like of the vehicle C1 after the interruption using the data received before the interruption of the inter-vehicle communication, it is possible to accurately perform the processing for the vehicle C1 after the interruption.

In addition, the position is predicted based on the data received from the vehicle C1 in which the inter-vehicle communication is interrupted until the interruption, and the position mark indicating the position of the vehicle C1 is displayed together with the map based on the predicted position. When displaying on 14, the position of the vehicle C1 after the inter-vehicle communication is interrupted can be recognized.

Further, since the data transmitted from the vehicle Cn includes the speed data, the acceleration data, and the current position data, the speed and the like of the vehicle C1 can be more accurately determined by using the speed data and the like until the inter-vehicle communication is interrupted. Can be predicted.

Furthermore, in the case of the first example above, when predicting the speed of the vehicle C1 after the inter-vehicle communication interruption, the speed after the interruption is predicted assuming that the vehicle C1 is moving at the same speed before and after the interruption. Therefore, the speed of the vehicle C1 after the interruption can be predicted accurately.

Further, in the case of the second example, when predicting the speed of the vehicle C1 after the inter-vehicle communication interruption, the speed after the interruption is calculated based on the speed data or the acceleration data received from the vehicle C1 until the interruption. Since the prediction is made, the speed of the vehicle C1 after the interruption can be predicted accurately.

Further, in the case of the third example, when predicting the speed of the vehicle C1 after the inter-vehicle communication interruption, the own vehicle C0 is traveling on the same road as the vehicle C1 before the interruption, and mutually. When the speeds are the same, the speed of the vehicle C1 after the interruption is predicted to be the same as the speed of the own vehicle C0 after the interruption, so that the speed of the vehicle C1 after the interruption can be accurately predicted.

Furthermore, in the case of the fourth example, when predicting the speed of the vehicle C1 after the inter-vehicle communication interruption, the vehicle C2 exists in front of the vehicle C1 before the interruption, and after the interruption, the vehicle C2 and the vehicle C2 are present. When vehicle-to-vehicle communication is possible, the speed of the vehicle C2 is predicted as the speed of the vehicle C1 after the interruption, so that the speed of the vehicle C1 after the interruption can be accurately predicted.

Further, in the case of the fifth example, when predicting the speed of the vehicle C1 after the inter-vehicle communication interruption, the vehicle C2 and the vehicle C3 exist in front of and behind the vehicle C1 before the interruption, respectively, and after the interruption. When vehicle-to-vehicle communication between vehicle C2 and vehicle C3 and own vehicle C0 is possible, the speed of vehicle C1 after the interruption is predicted based on the speed of each of vehicle C2 and vehicle C3 (for example, as an average value thereof). , The speed of the vehicle C1 after the interruption can be predicted accurately.

Further, when predicting the position of the vehicle C1 after the inter-vehicle communication is interrupted, the position can be predicted more accurately if the position is predicted based on the predicted speed.

Furthermore, in the above-described embodiment, the case where the present application is applied to the vehicle-to-vehicle communication system CS using the vehicle-to-vehicle communication has been described. It is also possible to apply the present application to a system that supports the movement of a person carrying the portable information terminal device while communicating between the portable information terminal devices (including a so-called smartphone). In this case, necessary data is exchanged between the portable information terminal devices while identifying each other by using identification data or the like that identifies each other.

Further, in the above-described embodiment, the case where the present application is applied to the vehicle-to-vehicle communication system CS using the vehicle-to-vehicle communication has been described, but in addition to this, for example, via a network such as the Internet (that is, a predetermined server device). It is also possible to apply the present application to a communication system that exchanges data between vehicles C (via). In this case, the terminal devices SS use the source identification data and the like to identify each other and exchange data.

Further, the map data or the like recorded in the recording unit 11 according to the embodiment is not recorded in the recording unit 11, but is configured to be acquired as needed via a network such as the Internet. May be good.

Furthermore, in the above-described embodiment, the case where the present application is applied to the vehicle-to-vehicle communication system CS using the vehicle-to-vehicle communication has been described, but in addition to this, for example, a person carrying the mobile body as an example of the embodiment. It is also possible to apply the present application to a system that supports the movement of a person carrying the portable information terminal device while communicating between the portable information terminal devices (including a so-called smartphone). In this case, necessary data is exchanged between the portable information terminal devices while identifying each other by using identification data or the like that identifies each other.

Further, a driving support program corresponding to the flowchart shown in FIG. 4 is recorded on a recording medium such as an optical disk or a hard disk, or acquired via a network such as the Internet, and this is obtained by a general-purpose microcomputer or the like. It is also possible to make the microcomputer or the like function as the processing unit 4 according to the embodiment by reading and executing the microcomputer.

1 Acquisition means (interface)
2 Judgment means (judgment unit)
3 Prediction means (prediction unit)
4 Mobility support means (processing unit)
SS terminal equipment CS vehicle-to-vehicle communication system C0 Own vehicle C, C1, C2, C3 Vehicle R1, R2, R3 Road

Claims (9)

An acquisition means for acquiring mobile information of other mobiles by wireless communication,
During the after the radio communication is interrupted between the first moving body of the other moving body to a predetermined time has elapsed, at least one of the speed or position of the first moving body after those該途absolute Predictive means to predict one and
With
When the forward moving body information which is the moving body information of the forward moving body moving in front of the first moving body while satisfying a predetermined condition is acquired, the predicting means is based on the forward moving body information. Predicting at least one of the speed and the position of the first moving body, and if the forward moving body information is not acquired, based on the moving body information acquired from the first moving body by the interruption. that predicts at least one of the speed or position of the first movable body, and, to change the predetermined time according to the said mobile body information obtained from the first movable body by the developing Zemma An information processing device that features it. In the information processing apparatus according to claim 1,
When the forward moving body information of the forward moving body that was moving at substantially the same speed as the speed of the first moving body at the time of the interruption is acquired, the predicting means uses the forward moving body information. An information processing apparatus characterized in that at least one of the speed and the position of the first moving body is predicted based on the above. In the information processing apparatus according to claim 1,
When the backward moving body information which is the moving body information of the rear moving body moving behind the first moving body is acquired in addition to the forward moving body information , the predicting means obtains the forward moving body information. An information processing device for predicting at least one of the speed and the position of the first moving body based on the information on the backward moving body. In the information processing apparatus according to claim 3,
The predicting means is an information processing device that predicts the speed of the first moving body based on the average value of the moving speeds indicated by the forward moving body information and the rear moving body information. In the information processing apparatus according to any one of claims 1 to 4.
The information processing device is characterized in that the predictive means changes the predetermined time according to the speed of the first moving body included in the moving body information acquired from the first moving body by the time of the interruption. In the information processing apparatus according to claim 5,
The prediction means is an information processing device characterized in that the faster the speed of the first moving body is, the shorter the predetermined time is. An acquisition means for acquiring mobile information of other mobiles by wireless communication,
After the wireless communication with the first mobile body among the other mobile bodies is interrupted, a predictive means for predicting at least one of the speed and the position of the first mobile body after the interruption, and
With
When the forward moving body information which is the moving body information of the forward moving body moving in front of the first moving body while satisfying a predetermined condition is acquired, the predicting means is based on the forward moving body information. Predicting at least one of the speed and the position of the first moving body, and if the forward moving body information is not acquired, based on the moving body information acquired from the first moving body by the interruption. An information processing apparatus for predicting at least one of the speed and the position of the first mobile body. An information processing method executed in an information processing device including an acquisition means and a prediction means.
What
The acquisition step in which the acquisition means acquires the mobile information of another mobile by wireless communication,
The speed or position of the first mobile body after the interruption until a predetermined time elapses after the wireless communication with the first mobile unit among the other mobile bodies is interrupted. And the prediction process that predicts at least one of
Including
In the prediction step, when the forward moving body information which is the moving body information of the forward moving body moving in front of the first moving body while satisfying a predetermined condition is acquired, it is based on the forward moving body information. When at least one of the speed and the position of the first moving body is predicted and the forward moving body information is not acquired, it is based on the moving body information acquired from the first moving body by the interruption. It is characterized in that at least one of the speed and the position of the first moving body is predicted, and the predetermined time is changed according to the moving body information acquired from the first moving body by the time of the interruption. Information processing method . The computer included in the information processing device,
Acquisition means for acquiring mobile information of other mobiles by wireless communication, and
At least one of the speed or position of the first mobile body after the interruption from the time when the wireless communication with the first mobile unit among the other mobile bodies is interrupted until a predetermined time elapses. Predictive means to predict one,
To function as
When the forward moving body information, which is the moving body information of the forward moving body that moves in front of the first moving body while satisfying a predetermined condition, is acquired, the computer that functions as the predicting means moves forward. At least one of the speed and the position of the first moving body is predicted based on the body information, and if the forward moving body information is not acquired, the movement acquired from the first moving body by the interruption. At least one of the speed and the position of the first moving body is predicted based on the body information, and the predetermined time is changed according to the moving body information acquired from the first moving body by the time of the interruption. An information processing program characterized by making it function as if it were.

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