JP7815157B2 - Information processing device, information processing system, and program - Google Patents

Description

The present invention relates to an information processing device, an information processing system, and a program.

Patent Document 1 describes technology related to communication between a communication device (control device) of a mobile object such as a vehicle and an information processing device via a mobile communication network.

Japanese Patent Application Laid-Open No. 2022-035198

A specific example of communication in the technology described in Patent Document 1 is when a life-threatening event such as an earthquake, major fire, lightning, typhoon, heavy snow, storm, tsunami, missile, nuclear explosion, or war is predicted, a notification can be sent from an information processing device to a control device installed in a vehicle or a mobile device carried by a person. However, when the occurrence of such an event is predicted and notified, a flow of cars and people can become concentrated on certain routes leading to evacuation sites, resulting in cars and people becoming so crowded that they are unable to move.

This disclosure has been made in consideration of the above, and aims to provide an information processing device, information processing system, and program that can prevent vehicles and people from congregating in a crowded state when a life-threatening event is predicted to occur.

The information processing device according to the first aspect includes a first prediction unit that predicts the risk of a life-threatening event occurring; a second prediction unit that predicts the density of at least one of vehicles and mobile devices based on collected location information of the at least one of the vehicles and mobile devices; and a notification unit that, when the risk of the event predicted by the first prediction unit exceeds a first threshold, sends notification information regarding the prediction result by the first prediction unit to at least one of the vehicles and the mobile devices, and lowers the first threshold when the density predicted by the second prediction unit exceeds a second threshold.

In the first aspect, the first prediction unit predicts the risk of a life-threatening event occurring, with the predicted risk generally increasing as the time of the life-threatening event approaches. In addition, in the first aspect, the density of at least one of vehicles and people carrying mobile devices is predicted, and the first threshold is lowered when the predicted density exceeds a second threshold. This allows notification information to be sent to at least one of vehicles and mobile devices earlier than when the first threshold is not lowered, thereby preventing vehicles and people from becoming crowded when a life-threatening event is predicted.

In the second aspect, in the first aspect, when a request signal is received from a control device installed in the vehicle, the first prediction unit predicts the risk of a life-threatening event occurring based on information stored in a memory unit.

According to the second aspect, the information processing device can recognize vehicles to which notification information should be sent, for example, vehicles that are in an active state with an occupant inside and the ignition switch turned on.

A third aspect is the first aspect, wherein the notification information regarding the prediction result by the first prediction unit includes evacuation location information indicating an evacuation location for at least one of the vehicle and the person carrying the mobile device.

According to the third aspect, the evacuation site information included in the notification information can guide at least one of the vehicle owner and the person carrying the mobile device to evacuate to an appropriate evacuation site.

In a fourth aspect, in the first aspect, the second prediction unit predicts the density for each of a plurality of prediction areas formed by dividing the prediction target region, and the notification unit lowers the first threshold for a specific prediction area where the density predicted by the second prediction unit exceeds a second threshold, and when the risk of occurrence of the event predicted by the first prediction unit exceeds the first threshold for the specific prediction area, notification information regarding the prediction result by the first prediction unit is transmitted to at least one of the vehicle and the mobile device associated with the specific prediction area.

According to the fourth aspect, when a life-threatening event is predicted, it is possible to prevent vehicles and people from congregating in a predicted area that is smaller than the predicted area.

The information processing system according to the fifth aspect includes the information processing device according to any one of the first to fourth aspects, a control device mounted on the vehicle, and the mobile terminal.

According to the fifth aspect, similar to the first aspect, when the occurrence of a life-threatening event is predicted, it is possible to prevent vehicles and people from congregating in a crowded area.

A program according to a sixth aspect causes a computer to execute processing including predicting the risk of a life-threatening event occurring, predicting the density of at least one of vehicles and mobile devices based on collected location information of at least one of the vehicles and mobile devices, transmitting notification information regarding the predicted result of the life-threatening event occurring to at least one of the vehicles and mobile devices when the risk of the predicted event occurring exceeds a first threshold, and lowering the first threshold when the predicted density exceeds a second threshold.

According to the sixth aspect, similar to the first aspect, when a life-threatening event is predicted, it is possible to prevent vehicles and people from congregating in a crowded area.

Note that the above summary of the invention does not list all of the necessary features of the present invention. Subcombinations of these features may also constitute inventions.

FIG. 1 is a block diagram illustrating an example of a functional configuration of an information processing system according to a first embodiment. FIG. 1 is an image diagram illustrating an example of a network configuration according to an embodiment. FIG. 1 is a schematic diagram illustrating an example of a network configuration within a vehicle according to an embodiment. 4 is a flowchart schematically illustrating an example of a processing routine executed by the information processing apparatus according to the first embodiment. FIG. 1 is a schematic diagram of Level 6 SOS. FIG. 1 is a schematic diagram of Level 6 SOS. FIG. 1 is a block diagram illustrating an example of a hardware configuration of a computer that functions as a control device (Central Brain), a server, or multiple terminals. FIG. 10 is a block diagram schematically illustrating an example of a functional configuration of an information processing system according to a second embodiment. 10 is a flowchart schematically illustrating an example of a processing routine executed by an information processing apparatus according to a second embodiment.

The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the scope of the invention as claimed. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

First Embodiment
The information processing system of this embodiment predicts life-threatening crises in advance, and if the risk of such a crisis increases, it immediately and automatically notifies the vehicle owner and their family. Furthermore, the information processing system of this embodiment constantly calculates the vehicle's evacuation route and the time it takes to reach a shelter, and notifies the vehicle owner and their family of this information when making the above-mentioned notification. Furthermore, the information processing system of this embodiment may notify an access point, such as a shelter, for the vehicle in advance. If an access point cannot be determined, the information processing system of this embodiment also calculates second and third access points and notifies the vehicle owner and their family of the location of the access points.

Examples of crises that threaten human life include earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, and war.

Figure 1 is a schematic diagram of an example of an information processing system 10 according to this embodiment. The information processing system 10 includes a control device 120 mounted on a vehicle 12, a server 14, which is an example of an information processing device, and multiple mobile terminals 18A, 18B, and 18C. The control device 120, the server 14, and the multiple mobile terminals 18A, 18B, and 18C are communicatively connected via a communication line 16, such as the Internet.

The control device 120 is an example of a control device for the vehicle 12. Note that, hereinafter, the control device 120 is also referred to as the Central Brain 120.

Note that "Level 6," as explained below, represents a level of automated driving, and is even higher than Level 5, which represents fully automated driving. Although Level 5 represents fully automated driving, it is at the same level as human driving, and there is still a chance of accidents occurring. Level 6 represents a level higher than Level 5, and is equivalent to a level where the probability of accidents occurring is lower than at Level 5.

Figure 2 is a diagram illustrating the communication environment to which the Central Brain 120 according to this embodiment is connected. As shown in Figure 2, the Central Brain 120 can switch between a general cloud and a private cloud as its communication destination. For example, the private cloud is realized by a VPN (Virtual Private Network).

Figure 3 is a diagram illustrating the configuration of the Central Brain 120 within the vehicle 12. As shown in Figure 3, multiple Gate Ways are communicatively connected to the SoC of the Central Brain 120. The Central Brain 120 is connected to an external cloud via the Gate Ways. The Central Brain 120 is configured to be able to access an external cloud via the Gate Ways. However, due to the presence of the Gate Ways, the Central Brain 120 is configured to be unable to be directly accessed from outside.

Central Brain 120 outputs a request signal to Server 14 every predetermined time. Specifically, Central Brain 120 outputs a request signal representing an inquiry to Server 14 every billionth of a second.

The server 14 repeatedly executes the flowchart shown in Figure 4.

In step S100, the reception unit 140 of the server 14 receives the request signal output from the Central Brain 120.

The information storage unit 141 of the server 14 stores all kinds of information that could be precursors to earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, war, etc., 24 hours a day, 365 days a year. The information storage unit 141 is an example of a memory unit.

In step S102, when the prediction unit 142 of the server 14 receives a request signal output from the Central Brain 120, it predicts the occurrence of a life-threatening event based on various information stored in the information storage unit 141.

In step S104, the prediction unit 142 of the server 14 determines whether a life-threatening event will actually occur based on the prediction result in step S102. For example, the prediction unit 142 of the server 14 determines that a life-threatening event will occur if the probability of the event occurring is equal to or greater than a predetermined value.

The prediction unit 142 of the server 14 constantly calculates the timing and probability of a life-threatening crisis by analyzing the information stored in the information storage unit 141 using AI (artificial intelligence). "Constantly" may be one billionth of a second. Note that, since signs of a life-threatening crisis may be known more than an hour before they occur, this information may also be used.

In step S106, if the prediction unit 142 determines that a certain event will occur, the notification unit 144 of the server 14 notifies the Central Brain 120 of the vehicle 12 and at least one of the multiple mobile terminals 18A, 18B, and 18C of the determination result. Note that at this time, for example, the notification unit 144 of the server 14 may also notify the Central Brain 120 of the vehicle 12 and the multiple mobile terminals 18A, 18B, and 18C of information regarding candidate locations for access points that can serve as evacuation sites for the vehicle 12.

The Central Brain 120 outputs a message to a display device (not shown) in the vehicle 12 indicating that a life-threatening event has occurred. The occupants of the vehicle 12 acknowledge this and take action such as heading to an access point.

Each of the multiple mobile terminals 18A, 18B, and 18C is owned, for example, by a family member of an occupant of vehicle 12. Each of the multiple mobile terminals 18A, 18B, and 18C outputs a message on its own display device (not shown) or the like that a life-threatening event has occurred. The occupant's family member confirms this and checks the vehicle 12's access points, etc.

As described above, the server 14 notifies the vehicle 12 equipped with the Central Brain 120 and multiple mobile devices 18A, 18B, and 18C owned by pre-registered members (e.g., family members) of the occurrence of a crisis. At that time, the server 14 may notify the degree of risk of the crisis, the route to a safe location, and the time it will take to reach the safe location. The server 14 may also notify the evacuation destination, route, and access time. The server 14 may also contact the access destination by phone to make an appointment, and if the access destination cannot be contacted, may contact second and third candidate access points.

In addition, because the traffic information used by Central Brain 120 is mission-critical, Server 14 connects to the completely private Central Brain 120 via VPN, connecting only to Central Brain 120 with chip-to-chip level security. On the other hand, Central Brain 120, which is connected to the cloud via a Zone Gateway, can always connect to general cloud information.

As mentioned above, it is not possible to enter the Central Brain 120 from the Gateway, but conversely, it is possible for the Central Brain 120 to make inquiries to other vehicles. The Central Brain 120 may also make inquiries to the Central Brains of other vehicles 12.

As described above, the information processing system 10 according to this embodiment utilizes AI technology to predict the probability and timing of life-threatening crises such as natural disasters and nuclear accidents, and provides a push-type SOS function to protect human lives. Specifically, in the information processing system 10 according to this embodiment, the Central Brain 120 connected to the zone gateway accesses information on the public cloud and performs calculations every nanosecond to protect the lives of smart car owners and their families.

The information processing system 10 of this embodiment predicts all risks (e.g., earthquakes, fires, lightning, typhoons, heavy snow, heavy rain, tsunamis, missiles, nuclear explosions, and war) in advance and automatically notifies family members when risks increase. Specifically, the information processing system 10 of this embodiment activates a push-sos (push-out) message while calculating the timing and safety of the event. The information processing system 10 also performs simulations in nanosecond increments (e.g., evacuation destinations, evacuation routes, and access times). The information processing system 10 of this embodiment also contacts access points in advance to make reservations (e.g., if an access point is unavailable, it performs risk calculations for second, third, and subsequent options).

Figures 5 and 6 are schematic diagrams of the above content.

FIG. 7 shows a schematic diagram of an example of the hardware configuration of a computer 1200 functioning as the control device 120, the Central Brain 120, the server 14, or multiple mobile terminals 18A, 18B, and 18C. A program installed on the computer 1200 can cause the computer 1200 to function as one or more "parts" of an apparatus according to the present embodiment, or to perform operations or one or more "parts" associated with an apparatus according to the present embodiment, and/or to perform a process or steps of the process according to the present embodiment. Such a program may be executed by the CPU 1212 to cause the computer 1200 to perform specific operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.

The computer 1200 according to this embodiment includes a CPU 1212, RAM 1214, and a graphics controller 1216, which are interconnected by a host controller 1210. The computer 1200 also includes input/output units such as a communications interface 1222, a storage device 1224, a DVD drive, and an IC card drive, which are connected to the host controller 1210 via an input/output controller 1220. The DVD drive may be a DVD-ROM drive, a DVD-RAM drive, or the like. The storage device 1224 may be a hard disk drive or a solid-state drive, or the like. The computer 1200 also includes a ROM 1230 and legacy input/output units such as a keyboard, which are connected to the input/output controller 1220 via an input/output chip 1240.

The CPU 1212 operates according to programs stored in the ROM 1230 and RAM 1214, thereby controlling each unit. The graphics controller 1216 acquires image data generated by the CPU 1212 into a frame buffer provided in the RAM 1214 or into the graphics controller itself, and causes the image data to be displayed on the display device 1218.

The communication interface 1222 communicates with other electronic devices via a network. The storage device 1224 stores programs and data used by the CPU 1212 in the computer 1200. The DVD drive reads programs or data from a DVD-ROM or the like and provides them to the storage device 1224. The IC card drive reads programs and data from an IC card and/or writes programs and data to an IC card.

ROM 1230 stores therein a boot program and the like that is executed by computer 1200 upon activation, and/or programs that depend on the hardware of computer 1200. I/O chip 1240 may also connect various I/O units to I/O controller 1220 via USB ports, parallel ports, serial ports, keyboard ports, mouse ports, etc.

The programs are provided on a computer-readable storage medium such as a DVD-ROM or IC card. The programs are read from the computer-readable storage medium, installed in storage device 1224, RAM 1214, or ROM 1230, which are also examples of computer-readable storage media, and executed by CPU 1212. The information processing described in these programs is read by computer 1200, resulting in cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing the operation or processing of information in accordance with the use of computer 1200.

For example, when communication is performed between computer 1200 and an external device, CPU 1212 may execute a communication program loaded into RAM 1214 and instruct communication interface 1222 to perform communication processing based on the processing described in the communication program. Under the control of CPU 1212, communication interface 1222 reads transmission data stored in a transmission buffer area provided in RAM 1214, storage device 1224, DVD-ROM, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes received data received from the network to a reception buffer area or the like provided on the recording medium.

The CPU 1212 may also cause all or a necessary portion of a file or database stored on an external recording medium such as the storage device 1224, a DVD drive (DVD-ROM), an IC card, etc. to be read into the RAM 1214, and perform various types of processing on the data on the RAM 1214. The CPU 1212 may then write the processed data back to the external recording medium.

Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and may undergo information processing. CPU 1212 may perform various types of processing on data read from RAM 1214, including various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, information search/replacement, etc., as described throughout this disclosure and specified by the program's instruction sequence, and write the results back to RAM 1214. CPU 1212 may also search for information in files, databases, etc. on the recording medium. For example, if multiple entries, each having an attribute value of a first attribute associated with an attribute value of a second attribute, are stored on the recording medium, CPU 1212 may search for an entry whose attribute value of the first attribute matches a specified condition from among the multiple entries, read the attribute value of the second attribute stored in the entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

The programs or software modules described above may be stored on computer-readable storage media on or near computer 1200. Recording media such as a hard disk or RAM provided within a server system connected to a dedicated communications network or the Internet can also be used as computer-readable storage media, thereby providing the programs to computer 1200 via the network.

The blocks in the flowcharts and block diagrams in this embodiment may represent stages of a process in which an operation is performed or "parts" of a device responsible for performing the operation. Particular stages and "parts" may be implemented by dedicated circuitry, programmable circuitry provided with computer-readable instructions stored on a computer-readable storage medium, and/or a processor provided with computer-readable instructions stored on a computer-readable storage medium. Dedicated circuitry may include digital and/or analog hardware circuitry, and may include integrated circuits (ICs) and/or discrete circuits. Programmable circuitry may include reconfigurable hardware circuitry including AND, OR, XOR, NAND, NOR, and other logical operations, flip-flops, registers, and memory elements, such as field programmable gate arrays (FPGAs) and programmable logic arrays (PLAs).

A computer-readable storage medium may include any tangible device capable of storing instructions that are executed by a suitable device. As a result, a computer-readable storage medium having instructions stored thereon comprises an article of manufacture, including instructions that can be executed to create means for performing the operations specified in the flowcharts or block diagrams. Examples of computer-readable storage media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, etc. More specific examples of computer-readable storage media may include floppy disks, diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), electrically erasable programmable read-only memory (EEPROM), static random access memory (SRAM), compact disc read-only memory (CD-ROM), digital versatile disc (DVD), Blu-ray disc, memory stick, integrated circuit card, etc.

The computer-readable instructions may include either assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state-setting data, or source or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk®, JAVA®, C++, etc., and conventional procedural programming languages such as the "C" programming language or similar programming languages.

The computer-readable instructions may be provided locally or over a wide area network (WAN) such as a local area network (LAN), the Internet, etc. to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, or to a programmable circuit, such that the processor or programmable circuit executes the computer-readable instructions to generate means for performing the operations specified in the flowcharts or block diagrams. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc.

Second Embodiment
As shown in Figure 8, the information processing system 20 of the second embodiment differs from the first embodiment in that the server 14 functions as a first prediction unit 142, a second prediction unit 143, and a notification unit 144B instead of the prediction unit 142 and notification unit 144 described in the first embodiment.

The first prediction unit 142 predicts the risk of a life-threatening event occurring in the same manner as the prediction unit 142 described in the first embodiment. This prediction can be triggered, for example, by receiving a request signal from the control device (Central Brain) 120 installed in the vehicle 12. In predictions by the first prediction unit 142, the predicted risk generally increases as the time of the life-threatening event approaches, and the risk reaches its maximum value when the current time becomes the time of the event. In this embodiment, if the risk exceeds a threshold value below the maximum value before the current time becomes the time of the event, notification information regarding the prediction result is transmitted.

When the second prediction unit 143 receives a request signal from the control device (Central Brain) 120, it collects location information of the vehicles 12 equipped with the control device (Central Brain) 120, which is included in the received request signal. The second prediction unit 143 then predicts the density of the vehicles 12 from the collected location information of each vehicle 12. Note that the density predicted by the second prediction unit 143 is information quantified using, for example, an index based on population density, the number of vehicles per unit area, the distance to other vehicles, etc.

When the risk of the occurrence of the event predicted by the first prediction unit 142 exceeds a first threshold, the notification unit 144B sends notification information regarding the prediction result by the first prediction unit 142 to the vehicle 12 and the mobile device, and when the density of vehicles 12 predicted by the second prediction unit 143 exceeds a second threshold, the notification unit 144B lowers the first threshold.

Next, referring to Figure 9, we will explain the processing executed by the server 14 according to the second embodiment.

In step S200, the reception unit 140 receives a request signal output from the control device (Central Brain) 120.

In step S202, when the first prediction unit 142 receives a request signal output from the control device (Central Brain) 120, it predicts the risk of a life-threatening event occurring based on various information stored in the information accumulation unit 141.

In the second embodiment, multiple servers 14 (not shown) are provided, and each server 14 predicts a different prediction target area for the risk of a life-threatening event occurring. Furthermore, the prediction target area corresponding to each server 14 is divided into multiple prediction areas, and the first prediction unit 142 may calculate the risk of a life-threatening event occurring for each prediction area, thereby predicting the occurrence of a life-threatening event for each prediction area. As an example, if the life-threatening event is a "tsunami," the calculated risk level will be higher for prediction areas facing the sea than for inland prediction areas.

In step S204, the second prediction unit 143 determines whether the first prediction unit 142 has predicted the occurrence of a life-threatening event. If the determination in step S204 is negative, the processing shown in FIG. 9 is terminated. If the determination in step S204 is positive, the processing proceeds to step S206. Note that the determination in step S204 may be made, for example, based on whether there is a predicted area where the calculated risk level is equal to or greater than a predetermined value.

In step S206, the second prediction unit 143 predicts the density of vehicles 12 for each prediction area based on the position information of each vehicle 12 equipped with the control device (Central Brain) 120, which is included in the request signal received from the control device (Central Brain) 120. Note that the prediction of the density of vehicles 12 in step S206 may be performed, for example, by repeating in a chronological order the process of predicting the number of vehicles 12 in the prediction area after a predetermined time based on the position information of each vehicle 12, and calculating the density of vehicles 12, assuming that each vehicle 12 will move to the nearest evacuation site.

In step S208, the notification unit 144B determines whether there is a predicted area in which the density of vehicles 12 predicted by the second prediction unit 143 exceeds a preset second threshold. If the determination in step S208 is negative, the process proceeds to step S212; if the determination in step S208 is positive, the process proceeds to step S210.

In step S210, the notification unit 144B performs a process of subtracting a predetermined value α from the first threshold value corresponding to each prediction area for which the density of vehicles 12 predicted by the second prediction unit 143 exceeds the second threshold value.

In step S212, the notification unit 144B determines whether there is a predicted area where the risk of a life-threatening event occurring exceeds the first threshold. If the determination in step S212 is negative, the processing shown in FIG. 9 is terminated. If the determination in step S212 is positive, the processing proceeds to step S214.

In step S214, the notification unit 144B transmits notification information including evacuation site information to vehicles 12 associated with predicted areas where the risk of a life-threatening event occurring exceeds the first threshold. As a result, in the vehicle 12 equipped with the control device (Central Brain) 120 that received the notification information, the occupants are notified that a life-threatening event has occurred, and at the same time, the vehicle 12 is moved (evacuated) to the notified evacuation site.

In step S214 above, vehicles 12 associated with a predicted area where the risk of a life-threatening event occurring exceeds the first threshold include at least one of vehicles 12 located within the predicted area, vehicles 12 passing through the predicted area and traveling to an evacuation site, and vehicles 12 whose evacuation site is located within the predicted area.

Furthermore, in the second embodiment, for the vehicle 12 equipped with the control device (Central Brain) 120, the associated mobile terminals 18A, 18B, 18C (for example, the mobile terminals 18A, 18B, 18C owned by the family of the owner of the vehicle 12) are pre-registered. In the next step S216, the notification unit 144B transmits the notification information to the pre-registered mobile terminals 18A, 18B, 18C for each vehicle 12 that transmitted the notification information, and the processing shown in FIG. 9 is terminated.

As a result, when mobile terminal 18A, 18B, 18C receives the notification information, the person carrying mobile terminal 18A, 18B, 18C will recognize that a life-threatening event has occurred, and will simultaneously move (evacuate) to the notified evacuation site. Note that the notification information sent to mobile terminal 18A, 18B, 18C may first communicate with mobile terminal 18A, 18B, 18C to confirm the current location of mobile terminal 18A, 18B, 18C, and then send notification information including information about the evacuation site corresponding to the confirmed current location to mobile terminal 18A, 18B, 18C.

As described above, in the second embodiment, the first prediction unit 142 predicts the risk of a life-threatening event, and the second prediction unit 143 predicts the density of vehicles 12 from the collected vehicle 12 location information. If the risk of the event predicted by the first prediction unit 142 exceeds a first threshold, the notification unit 144B transmits notification information regarding the prediction result by the first prediction unit 142 to the vehicles 12 and the mobile terminals 18A, 18B, and 18C, and lowers the first threshold if the density of vehicles 12 predicted by the second prediction unit 143 exceeds the second threshold. This allows the notification information to be sent to at least one of the vehicles 12 and the mobile terminals 18A, 18B, and 18C earlier than when the first threshold is not lowered, thereby preventing vehicles and people from congregating when a life-threatening event is predicted.

Furthermore, in the second embodiment, when the first prediction unit 142 receives a request signal from the control device (Central Brain) 120 installed in the vehicle 12, it predicts the risk of a life-threatening event occurring based on the information stored in the information storage unit 141. This allows the server 14 to recognize the vehicle 12 to which notification information should be sent, for example, an active vehicle 12 with an occupant on board and the ignition switch on.

Furthermore, in the second embodiment, the notification information regarding the prediction results by the first prediction unit 142 includes evacuation location information indicating the evacuation location of at least one of the vehicle 12 or the person possessing the mobile terminal 18A, 18B, 18C. As a result, the evacuation location information included in the notification information can guide the person possessing the vehicle 12 or the mobile terminal 18A, 18B, 18C to evacuate to an appropriate evacuation location.

Furthermore, in the second embodiment, the second prediction unit 143 predicts the density for each of a plurality of prediction areas obtained by dividing the prediction target area, and the notification unit 144B lowers the corresponding first threshold for a specific prediction area where the density predicted by the second prediction unit 143 exceeds the second threshold, and when the risk of the occurrence of the event predicted by the first prediction unit 142 exceeds the first threshold corresponding to the specific prediction area, notification information regarding the prediction result by the first prediction unit 142 is transmitted to at least one of the vehicles 12 and mobile terminals 18A, 18B, 18C associated with the specific prediction area. This makes it possible to prevent vehicles and people from congregating in a prediction area smaller than the prediction target area when a life-threatening event is predicted to occur.

In the second embodiment, the first prediction unit 142 predicts the risk of a life-threatening event occurring for each prediction area, but the present disclosure is not limited to this. For example, the risk of a life-threatening event occurring may be predicted for each prediction target area, which is larger than the prediction area.

Furthermore, in the second embodiment, an aspect has been described in which, when the first prediction unit 142 predicts the occurrence of a life-threatening event (when the determination in step S204 is positive), the second prediction unit 143 performs processing to predict the density of vehicles 12 from the collected position information of vehicles 12. However, the present disclosure is not limited to this aspect, and, for example, the second prediction unit 143 may be configured to constantly perform the above processing regardless of whether the first prediction unit 142 predicts the occurrence of the event.

Furthermore, in the second embodiment, the second prediction unit 143 predicts the density of vehicles 12 from the collected position information of vehicles 12, but the present disclosure is not limited to this. For example, the second prediction unit 143 may collect position information of mobile terminals 18A, 18B, and 18C, and predict the density of people carrying mobile terminals 18A, 18B, and 18C from the collected position information of mobile terminals 18A, 18B, and 18C. Furthermore, the second prediction unit 143 may separately predict the density of vehicles 12 and the density of people carrying mobile terminals 18A, 18B, and 18C.

Furthermore, in the second embodiment, the mobile terminals 18A, 18B, and 18C associated with each vehicle 12 (e.g., mobile terminals 18A, 18B, and 18C owned by family members of the owner of the vehicle 12) are pre-registered, and the notification unit 144B transmits notification information to the pre-registered mobile terminal for each vehicle 12 that transmitted the notification information. However, the present disclosure is not limited to this. For example, the notification unit 144B may transmit notification information to the mobile terminals 18A, 18B, and 18C that collected the location information.

Furthermore, in the second embodiment, the evacuation location information included in the notification information may include evacuation route information indicating the route to the evacuation location. This allows occupants of the vehicle 12 equipped with the control device (Central Brain) 120 that receives the notification information, or people carrying the mobile terminals 18A, 18B, and 18C, to refer to the evacuation route information and evacuate to the evacuation location via an appropriate evacuation route.

The present disclosure has been described above using embodiments, but the technical scope of the present disclosure is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the claims that such modifications and improvements may also be included within the technical scope of the present disclosure.

The order of execution of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before" or "prior to," and it should be noted that processes can be performed in any order unless the output of a previous process is used in a subsequent process. Even if the operational flow in the claims, specifications, and drawings is described using terms such as "first," "next," etc. for convenience, this does not mean that the processes must be performed in that order.

120 Control device, 14 Server, mobile terminal 18A, 18B, 18C, 142 First prediction unit, 143 Second prediction unit, 144B Notification unit, 1200 Computer, 1210 Host controller, 1212 CPU, 1214 RAM, 1216 Graphics controller, 1218 Display device, 1220 Input/output controller, 1222 Communication interface, 1224 Storage device, 1230 ROM, 1240 Input/output chip

Claims (6)

a first prediction unit that predicts the risk of an event occurring that is life-threatening;
a second prediction unit that predicts the density of at least one of vehicles and people carrying the mobile devices based on the collected location information of at least one of the vehicles and the mobile devices;
a notification unit that, when a risk of occurrence of the event predicted by the first prediction unit exceeds a first threshold, transmits notification information regarding a prediction result by the first prediction unit to at least one of the vehicle and the mobile device, and that, when the density predicted by the second prediction unit exceeds a second threshold, reduces the first threshold;
An information processing device comprising: The information processing device described in claim 1, wherein the first prediction unit predicts the risk of a life-threatening event occurring based on information stored in a memory unit when a request signal is received from a control device installed in the vehicle. The information processing device described in claim 1, wherein the notification information regarding the prediction result by the first prediction unit includes evacuation location information indicating an evacuation location for at least one of the vehicle and the person carrying the mobile device. the second prediction unit predicts the density for each of a plurality of prediction areas obtained by dividing a prediction target region;
2. The information processing device of claim 1, wherein the notification unit lowers the first threshold value corresponding to a specific prediction area where the density predicted by the second prediction unit exceeds a second threshold value, and when the risk of occurrence of the event predicted to occur by the first prediction unit exceeds the first threshold value corresponding to the specific prediction area, sends notification information regarding the prediction result by the first prediction unit to at least one of the vehicle and the mobile terminal related to the specific prediction area. An information processing device according to any one of claims 1 to 4;
a control device mounted on the vehicle;
the mobile terminal;
An information processing system including: On the computer,
Predict the risk of life-threatening events occurring,
predicting the density of at least one of the vehicles and the people carrying the mobile devices from the collected location information of at least one of the vehicles and the mobile devices;
A program for executing a process including: when the risk of the predicted event occurring exceeds a first threshold, sending notification information regarding the predicted result of the occurrence of the life-threatening event to at least one of the vehicle and the mobile device; and when the predicted density exceeds a second threshold, lowering the first threshold.