Information processing device, information processing system, and program

Abstract

To inhibit vehicles and people from being congested in the event that occurrence of an event relating to a crisis jeopardizing a human life is predicted.SOLUTION: A first prediction unit 142 of a server (information processor) 14 predicts a degree of danger of occurrence of an event concerning a crisis jeopardizing a human life. A second prediction unit 143 predicts a degree of congestion of at least one of a vehicle 12 and people carrying portable terminals 18A, 18B, and 18C respectively on the basis of acquired position information on at least one of the vehicle 12 and the portable terminals 18A, 18B, and 18C. When the degree of danger of occurrence of the event predicted by the first prediction unit 142 exceeds a first threshold, a notification unit 144B transmits notification information, which relates to a result of prediction by the first prediction unit 142, to at least one of the vehicle 12 and the portable terminals 18A, 18B, and 18C. When the degree of congestion predicted by the second prediction unit 143 exceeds a second threshold, the notification unit lowers the first threshold.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing system, and a program. [Background technology]

[0002] Patent Document 1 describes a technique relating 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. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-035198 Summary of the Invention [Problem to be solved by the invention]

[0004] A specific example of communication in the technology described in Patent Document 1 is a case where an information processing device notifies a control device mounted on a vehicle or a mobile terminal carried by a person when the occurrence of a life-threatening event such as an earthquake, major fire, lightning, typhoon, heavy snow, storm, tsunami, missile, nuclear explosion, war, etc. is predicted. However, when the occurrence of such an event is predicted or notified, a flow of cars and people may concentrate on a certain route heading to an evacuation site or the like, resulting in a situation where cars and people become crowded together and are unable to move.

[0005] The present disclosure has been made in consideration of the above facts, and aims to provide an information processing device, an information processing system, and a program that can prevent vehicles and people from becoming crowded together when a life-threatening event is predicted to occur. [Means for solving the problem]

[0006] An information processing device according to a first aspect includes 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 mobile devices based on collected location information of at least one of the vehicles and mobile devices; and a notification unit that, when the risk of the event occurring 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.

[0007] In a first aspect, the first prediction unit predicts the risk of a life-threatening event, and in this prediction, the predicted risk generally increases as the time of the life-threatening event approaches. Also 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 congregating when a life-threatening event is predicted.

[0008] In the second aspect, in the first aspect, when the first prediction unit receives a request signal from a control device installed in the vehicle, it predicts the risk of an event occurring that is life-threatening based on information stored in a memory unit.

[0009] According to the second aspect, the information processing device can recognize a vehicle to which notification information should be transmitted, for example, a vehicle in an active state with an occupant inside and the ignition switch turned on.

[0010] The 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 terminal.

[0011] According to the third aspect, the evacuation site information included in the notification information can guide at least one of the vehicle and the person carrying the mobile terminal to evacuate to an appropriate evacuation site.

[0012] In the 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 area, and the notification unit lowers the corresponding 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 to occur by the first prediction unit exceeds the first threshold corresponding to the specific prediction area, it transmits 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.

[0013] According to the fourth aspect, when a life-threatening event is predicted, it is possible to prevent cars and people from congregating in a predicted area that is smaller than the predicted area.

[0014] An information processing system according to a 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.

[0015] According to the fifth aspect, similarly 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 state.

[0016] 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 from collected location information of at least one of the vehicles and mobile devices, and, if 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 vehicles and the mobile devices, and, if the predicted density exceeds a second threshold, lowering the first threshold.

[0017] According to the sixth aspect, similarly to the first aspect, when the occurrence of a life-threatening event is predicted, it is possible to prevent vehicles and people from becoming crowded together.

[0018] The above summary of the invention does not list all of the necessary features of the present invention, and subcombinations of these features may also constitute inventions. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a block diagram schematically illustrating an example of a functional configuration of an information processing system according to a first embodiment. [Figure 2] FIG. 1 is a conceptual diagram illustrating an example of a network configuration according to an embodiment. [Figure 3] FIG. 1 is a schematic diagram illustrating an example of a network configuration within a vehicle according to an embodiment. [Figure 4] 4 is a flowchart schematically illustrating an example of a processing routine executed by the information processing device according to the first embodiment. [Figure 5] This is an overview of Level 6 SOS. [Figure 6] This is an overview of Level 6 SOS. [Figure 7] 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. [Figure 8] FIG. 10 is a block diagram schematically illustrating an example of the functional configuration of an information processing system according to a second embodiment. [Figure 9] 10 is a flowchart schematically illustrating an example of a processing routine executed by an information processing device according to a second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0020] The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the scope of the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

[0021] [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 the evacuation 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 an evacuation shelter, for the vehicle in advance. If an access point has not been 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, etc.

[0022] Examples of crises that threaten human life include earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, and wars.

[0023] 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 a plurality of mobile terminals 18A, 18B, and 18C. The control device 120, the server 14, and the plurality of mobile terminals 18A, 18B, and 18C are communicatively connected via a communication line 16 such as the Internet.

[0024] The control device 120 is an example of a control device of the vehicle 12. Note that, hereinafter, the control device 120 is also referred to as a Central Brain 120.

[0025] Note that "Level 6" explained below is a level that represents automated driving, and is equivalent to a level 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 Level 5.

[0026] Fig. 2 is a diagram illustrating the communication environment to which the Central Brain 120 according to this embodiment is connected. As shown in Fig. 2, the Central Brain 120 can switch between a general cloud and a private cloud as a communication destination. For example, the private cloud is realized by a VPN (Virtual Private Network).

[0027] FIG. 3 is a diagram illustrating the configuration of the Central Brain 120 inside the vehicle 12. As shown in FIG. 3, a plurality of Gateway Ways are communicatively connected to the SoC of the Central Brain 120. The Central Brain 120 is connected to an external cloud via the Gateway Ways. The Central Brain 120 is configured to be able to access the external cloud via the Gateway Ways. On the other hand, the existence of the Gateway Ways means that the Central Brain 120 cannot be directly accessed from outside.

[0028] The Central Brain 120 outputs a request signal to the server 14 every time a predetermined time elapses. Specifically, the Central Brain 120 outputs a request signal representing an inquiry to the server 14 every billionth of a second.

[0029] The server 14 repeatedly executes the flowchart shown in FIG.

[0030] In step S100, the reception unit 140 of the server 14 receives the request signal output from the Central Brain 120.

[0031] The information storage unit 141 of the server 14 stores all kinds of information that may be precursors to earthquakes, major fires, lightning, typhoons, heavy snow, storms, tsunamis, missiles, nuclear explosions, wars, etc. 24 hours a day, 365 days a year. The information storage unit 141 is an example of a memory unit.

[0032] 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 an event related to a life-threatening crisis based on various information stored in the information storage unit 141.

[0033] In step S104, the prediction unit 142 of the server 14 determines whether or not 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.

[0034] 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 on the order of one billionth of a second. Note that, because the signs of a life-threatening crisis may be known more than one hour before the occurrence, this information may be used.

[0035] 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 are evacuation sites for the vehicle 12.

[0036] The Central Brain 120 outputs a message indicating that a life-threatening event has occurred to a display device (not shown) or the like in the vehicle 12. The occupants in the vehicle 12 confirm this and take action such as heading to an access point.

[0037] Each of the multiple mobile terminals 18A, 18B, and 18C is owned, for example, by a family member of a passenger in the 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 passenger's family confirms this message and checks the access points of the vehicle 12 or the like.

[0038] As described above, the server 14 notifies the vehicle 12 equipped with the Central Brain 120 and the multiple mobile terminals 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 place, and the time it will take to reach the safe place. The server 14 may also notify the evacuation destination, route, and access time. The server 14 may also contact the access destination by phone or make an appointment, and if the access destination cannot be reached, may contact second and third candidate access points.

[0039] Furthermore, since the traffic information used by the Central Brain 120 is mission-critical, the server 14 connects to the completely private Central Brain 120 via VPN, providing chip-to-chip level security and only connecting to the Central Brain 120. On the other hand, the Central Brain 120 is connected to the cloud via a Zone Gateway, allowing it to always connect to general cloud information.

[0040] As mentioned above, it is not possible to enter the Central Brain 120 from the Gateway, but it is possible to make inquiries from the Central Brain 120 to other vehicles. The Central Brain 120 may also make inquiries to the Central Brains of other vehicles 12.

[0041] 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.

[0042] According to the information processing system 10 of this embodiment, all risks (for example, earthquakes, fires, lightning, typhoons, heavy snow, heavy rain, tsunamis, missiles, nuclear explosions, and war) are predicted in advance, and when the risk increases, family members are automatically notified. Specifically, the information processing system 10 of this embodiment issues a PUSH SOS while calculating the timing of the event and safety. The information processing system 10 also performs simulations in nanosecond units (for example, evacuation destinations, evacuation routes, and access times). The information processing system 10 of this embodiment also contacts access points in advance to make reservations (for example, if an access point is unavailable, it performs risk calculations for the second, third, and subsequent options).

[0043] 5 and 6 are schematic diagrams of the above content.

[0044] 7 schematically illustrates 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 associated with the apparatus or one or more "parts" thereof, 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.

[0045] The computer 1200 according to this embodiment includes a CPU 1212, a 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.

[0046] The CPU 1212 operates according to programs stored in the ROM 1230 and the RAM 1214, thereby controlling each unit. The graphics controller 1216 acquires image data generated by the CPU 1212 into a frame buffer or the like provided in the RAM 1214 or into the graphics controller itself, and causes the image data to be displayed on the display device 1218.

[0047] 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.

[0048] The ROM 1230 stores therein a boot program or the like that is executed by the computer 1200 upon activation, and / or programs that depend on the hardware of the computer 1200. The input / output chip 1240 may also connect various input / output units to the input / output controller 1220 via a USB port, a parallel port, a serial port, a keyboard port, a mouse port, etc.

[0049] The programs are provided by a computer-readable storage medium such as a DVD-ROM or an IC card. The programs are read from the computer-readable storage medium, installed in the storage device 1224, RAM 1214, or ROM 1230, which are also examples of computer-readable storage media, and executed by the CPU 1212. Information processing described in these programs is read by the computer 1200, and causes cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing operations or processing of information in accordance with the use of the computer 1200.

[0050] For example, when communication is performed between the computer 1200 and an external device, the CPU 1212 may execute a communication program loaded into the RAM 1214 and instruct the communication interface 1222 to perform communication processing based on the processing described in the communication program. Under the control of the CPU 1212, the communication interface 1222 reads transmission data stored in a transmission buffer area provided in the RAM 1214, the storage device 1224, a DVD-ROM, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes reception data received from the network to a reception buffer area or the like provided on the recording medium.

[0051] Furthermore, the CPU 1212 may cause all or a necessary portion of a file or database stored in 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 back the processed data to the external recording medium.

[0052] Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and subjected to 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 instruction sequences of the programs, and write the results back to RAM 1214. CPU 1212 may also search for information in a file, database, 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.

[0053] The above-described programs or software modules may be stored in a computer-readable storage medium on or near the computer 1200. A recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can also be used as a computer-readable storage medium, thereby providing the programs to the computer 1200 via the network.

[0054] The blocks in the flowcharts and block diagrams in the present embodiments 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. The dedicated circuitry may include digital and / or analog hardware circuits, and may include integrated circuits (ICs) and / or discrete circuits. The programmable circuitry may include reconfigurable hardware circuits, such as field programmable gate arrays (FPGAs) and programmable logic arrays (PLAs), including AND, OR, XOR, NAND, NOR, and other logical operations, flip-flops, registers, and memory elements.

[0055] A computer-readable storage medium may include any tangible device capable of storing instructions that are executed by an appropriate device, such that 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.

[0056] 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.

[0057] 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 programmable circuitry, such that the processor or programmable circuitry 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.

[0058] Second Embodiment As shown in FIG. 8, the information processing system 20 according to 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.

[0059] The first prediction unit 142 predicts the risk of the occurrence of a life-threatening event 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 mounted on the vehicle 12. In the prediction by the first prediction unit 142, the predicted risk generally increases as the time of occurrence of the life-threatening event approaches, and the risk reaches its maximum value when the current time becomes the time of occurrence 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 occurrence of the event, notification information regarding the prediction result is transmitted.

[0060] When the second prediction unit 143 receives a request signal from the control device (Central Brain) 120, it collects position information of the vehicle 12 equipped with the control device (Central Brain) 120, which is included in the received request signal. Then, the second prediction unit 143 predicts the density of the vehicles 12 from the collected position 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.

[0061] 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 terminal, 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.

[0062] Next, with reference to FIG. 9, a process executed by the server 14 according to the second embodiment will be described.

[0063] In step S200, the receiving unit 140 receives a request signal output from the control device (Central Brain) 120.

[0064] 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 storage unit 141.

[0065] In the second embodiment, a plurality of servers 14 (not shown) are provided, and the individual servers 14 have different prediction target areas for predicting the risk of a life-threatening event occurring. Furthermore, the prediction target areas corresponding to the individual servers 14 are each divided into a plurality of 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. For 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.

[0066] In step S204, the second prediction unit 143 determines whether or not the first prediction unit 142 has predicted the occurrence of a life-threatening event. If the determination in step S204 is negative, the process shown in Fig. 9 ends. If the determination in step S204 is positive, the process proceeds to step S206. Note that the determination in step S204 may be made, for example, based on whether or not there is a predicted area where the calculated risk level is equal to or greater than a predetermined value.

[0067] 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 time series the process of predicting the number of vehicles 12 after a predetermined time in the prediction area and calculating the density of vehicles 12 based on the position information of each vehicle 12, assuming that each vehicle 12 will move to the nearest evacuation site.

[0068] 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, and if the determination in step S208 is positive, the process proceeds to step S210.

[0069] In step S210, the notification unit 144B performs a process of subtracting a predetermined value α from the first threshold value corresponding to each predicted area in which the density of vehicles 12 predicted by the second prediction unit 143 exceeds the second threshold value.

[0070] 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 process shown in Fig. 9 ends. If the determination in step S212 is positive, the process proceeds to step S214.

[0071] In step S214, the notification unit 144B transmits notification information including evacuation site information to the vehicles 12 associated with the predicted areas where the risk of a life-threatening event occurring exceeds the first threshold. As a result, in the vehicles 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 vehicles 12 are moved (evacuated) to the notified evacuation site.

[0072] In the above step S214, 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 moving to an evacuation site, and vehicles 12 whose evacuation site is located within the predicted area.

[0073] In the second embodiment, the related mobile terminals 18A, 18B, 18C (for example, the mobile terminals 18A, 18B, 18C owned by family members of the owner of the vehicle 12) are registered in advance for the vehicle 12 equipped with the control device (Central Brain) 120. In the next step S216, the notification unit 144B transmits the notification information to the mobile terminals 18A, 18B, 18C registered in advance for each vehicle 12 that transmitted the notification information, and the process shown in FIG. 9 ends.

[0074] As a result, at mobile terminals 18A, 18B, 18C that have received the notification information, the person carrying mobile terminal 18A, 18B, 18C recognizes that a life-threatening event has occurred, and at the same time moves (evacuates) to the notified evacuation site. Note that the notification information to be transmitted to mobile terminals 18A, 18B, 18C may be transmitted by first communicating with mobile terminals 18A, 18B, 18C to confirm the current locations of mobile terminals 18A, 18B, 18C, and then transmitting notification information including information on the evacuation site corresponding to the confirmed current locations to mobile terminals 18A, 18B, 18C.

[0075] As described above, in the second embodiment, the first prediction unit 142 predicts the risk of an event occurring that threatens a life, and the second prediction unit 143 predicts the density of vehicles 12 from the collected position information of the vehicles 12. When 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 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. As a result, compared to when the first threshold is not lowered, notification information is sent to at least one of the vehicles 12 and the mobile terminals 18A, 18B, and 18C earlier, and it is possible to prevent vehicles and people from becoming crowded together when the occurrence of an event that threatens a life is predicted.

[0076] Furthermore, in the second embodiment, when the first prediction unit 142 receives a request signal from the control device (Central Brain) 120 mounted on the vehicle 12, it predicts the risk of an event occurring that is life-threatening, based on the information stored in the information storage unit 141. This enables the server 14 to recognize the vehicle 12 to which notification information should be sent, for example, an active vehicle 12 with an occupant aboard and the ignition switch turned on.

[0077] Furthermore, in the second embodiment, the notification information regarding the prediction result by the first prediction unit 142 includes evacuation site information indicating the evacuation site of at least one of the vehicle 12 and the person carrying the mobile terminal 18A, 18B, 18C. This makes it possible to guide the person carrying the vehicle 12 or the mobile terminal 18A, 18B, 18C to evacuate to an appropriate evacuation site using the evacuation site information included in the notification information.

[0078] 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 in which 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, transmits notification information regarding the prediction result by the first prediction unit 142 to at least one of the vehicles 12 and mobile terminals 18A, 18B, and 18C related to the specific prediction area. This makes it possible to prevent cars and people from becoming congested in units of prediction areas smaller than the prediction target area when the occurrence of an event related to a life-threatening crisis is predicted.

[0079] In the second embodiment, the first prediction unit 142 predicts the risk of occurrence of a life-threatening event for each prediction area, but the present disclosure is not limited to this. For example, the risk of occurrence of a life-threatening event may be predicted for each prediction target area, which is larger than the prediction area.

[0080] 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 affirmative), the second prediction unit 143 performs processing to predict the density of vehicles 12 from the collected position information of the vehicles 12. However, the present disclosure is not limited to this aspect, and, for example, the second prediction unit 143 may always perform the above processing regardless of whether the first prediction unit 142 predicts the occurrence of the event.

[0081] 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.

[0082] Furthermore, in the second embodiment, the mobile terminals 18A, 18B, and 18C associated with each vehicle 12 (for example, the mobile terminals 18A, 18B, and 18C owned by the family of the owner of the vehicle 12) are registered in advance, and the notification unit 144B transmits the notification information to the mobile terminal registered in advance 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 the notification information to the mobile terminals 18A, 18B, and 18C that collected the location information.

[0083] In the second embodiment, the evacuation site information included in the notification information may also include evacuation route information indicating a route to the evacuation site. This allows an occupant of the vehicle 12 equipped with the control device (Central Brain) 120 that has received the notification information, or a person carrying the mobile terminal 18A, 18B, 18C, to refer to the evacuation route information and evacuate to the evacuation site via an appropriate evacuation route.

[0084] Although the present disclosure has been described above using embodiments, 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 can also be included in the technical scope of the present disclosure.

[0085] It should be noted that the execution order 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," "prior to," etc., and that the processes can be performed in any order unless the output of a previous process is used in a later process. Even if the operational flow in the claims, specifications, and drawings is described using "first," "next," etc. for convenience, this does not mean that the processes must be performed in this order. [Explanation of symbols]

[0086] 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 graphic controller, 1218 display device, 1220 input / output controller, 1222 communication interface, 1224 storage device, 1230 ROM, 1240 input / output chip

Claims

1. 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:

2. 2. The information processing device according to 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.

3. The information processing device according to claim 1 , wherein the notification information regarding the prediction result by the first prediction unit includes evacuation site information indicating an evacuation site for at least one of the vehicle and the person carrying the mobile terminal.

4. 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.

5. 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:

6. 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; When the risk of the predicted event exceeds a first threshold, notification information regarding the predicted result of the occurrence of the life-threatening event is transmitted to at least one of the vehicle and the mobile device, and when the predicted density exceeds a second threshold, the first threshold is reduced. A program for executing processes including the above.

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