JP2012118915A - Information notification system, server device, on-vehicle device, and information notification method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique for letting a driver be aware that there is a risk of an accident.SOLUTION: In an information notification system 100, a server device 1 stores a plurality of pieces of element data showing the state of occurrence of an accident of an accident pattern. Then an information display device 3 of a vehicle 8 transmits a plurality of pieces of element data showing the current state of the vehicle 8 to the server device 1. In response, the server device 1 derives the degree of matching indicative of the degree of similarity of the current state of the vehicle 8 to the state of occurrence of the accident of the accident pattern, and transmits information based upon the degree of matching to the information display device 3. Then the information display device 3 notifies the driver of the vehicle 8 of the information based upon the degree of matching. Therefore, the driver can be notified of different information according to the current state of the vehicle 8, so the driver is made aware that there is a risk of an accident.

Description

  The present invention relates to a technique for informing a driver of a vehicle of information.

  Conventionally, in-vehicle devices such as a navigation device mounted on a vehicle, information for preventing an accident is notified to a driver. For example, when a vehicle approaches a position to be driven with caution, such as a junction or a railroad crossing, an in-vehicle device that displays characters to that effect on the screen and outputs a voice to that effect to the driver Are known.

  Note that there is Patent Document 1 as a prior art document disclosing a technique related to the present invention.

JP 2009-236522 A

  The vehicle-mounted device is guided with information about a position to be driven with care, and the position to be guided by this information is a predetermined position such as a junction, a railroad crossing, or a sharp curve. For this reason, the same information is simply guided for the same position regardless of the current situation of the vehicle, so the driver gradually gets used to the guidance of this information and informs the driver that there is a risk of an accident. The conscious effect will fade.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a technique that can make a driver aware of the danger of an accident.

  In order to solve the above-mentioned problem, the invention of claim 1 is an information notification system for notifying a driver of a vehicle of information, an in-vehicle device mounted on the vehicle, a server device for providing information to the in-vehicle device, The server device includes a plurality of accidents in which a plurality of element data indicating a situation at the time of occurrence coincide with each other as the same accident pattern, and storage means for storing the plurality of element data of the accident pattern; The acquisition means for acquiring a plurality of element data indicating the current situation of the vehicle, the plurality of element data acquired by the acquisition means and the plurality of element data of the accident pattern stored in the storage means are compared. First deriving means for deriving a degree of match indicating a degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern, and information based on the degree of match And transmitting means for transmitting to the transfer device, wherein the vehicle device comprises a notifying means, for notifying information based on the coincidence degree to the driver.

  Further, the invention according to claim 2 is the information notification system according to claim 1, wherein the server device is configured based on the degree of coincidence and the occurrence rate of the accident of the accident pattern in the current situation of the vehicle. A second deriving unit for deriving a risk level indicating a degree of possibility of an accident, the transmitting unit transmits the risk level to the in-vehicle device, and the notifying unit calculates the risk level to the risk level. Notify the driver.

  According to a third aspect of the present invention, in the information notification system according to the second aspect, the notification means notifies the driver of the risk when the risk exceeds a threshold value.

  According to a fourth aspect of the present invention, in the information notification system according to the first aspect, the storage unit stores the plurality of element data of each of a plurality of accident patterns, and the first derivation unit includes: The degree of coincidence is derived for each of the plurality of accident patterns, and the transmission means transmits information based on the degree of coincidence of the accident pattern having the highest degree of coincidence among the plurality of accident patterns.

  The invention of claim 5 is a server device for providing information to a vehicle, wherein a plurality of accidents in which a plurality of element data indicating the situation at the time of occurrence coincide with each other as the same accident pattern, and the plurality of the accident patterns Storage means for storing the element data, acquisition means for acquiring a plurality of element data indicating the current situation of the vehicle from the vehicle, a plurality of element data acquired by the acquisition means, and storage in the storage means First derivation means for deriving a degree of match indicating a degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern by comparing the plurality of element data of the accident pattern Transmitting means for transmitting information based on the degree of match to an in-vehicle device mounted on the vehicle.

  According to a sixth aspect of the present invention, in the server device according to the fifth aspect, an accident may occur in the current situation of the vehicle based on the degree of coincidence and the occurrence rate of the accident of the accident pattern. And a second deriving unit for deriving a risk level indicating the degree of the risk. The transmitting unit transmits the risk level to the in-vehicle device.

  The invention of claim 7 is an in-vehicle device that is mounted on a vehicle and informs a driver of the vehicle of information, and a plurality of accidents in which a plurality of element data indicating a situation at the time of occurrence coincide with each other as the same accident pattern. Storage means for storing the plurality of element data of the accident pattern, acquisition means for acquiring a plurality of element data indicating the current situation of the vehicle, a plurality of element data acquired by the acquisition means, and the storage A plurality of element data of the accident pattern stored in the means is compared to derive a degree of match indicating the degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern Deriving means and notifying means for notifying the driver of information based on the degree of match.

  Further, the invention according to claim 8 is the vehicle-mounted device according to claim 7, wherein an accident may occur in the current situation of the vehicle based on the degree of match and the occurrence rate of the accident of the accident pattern. Second deriving means for deriving a degree of risk indicating the degree of the risk, and the informing means informs the driver of the degree of risk.

  The invention of claim 9 is an information notifying method for notifying a driver of a vehicle, wherein (a) a step of acquiring a plurality of element data indicating a current situation of the vehicle; and (b) A plurality of element data of the accident pattern stored in storage means for storing a plurality of element data of the accident pattern with a plurality of accidents in which a plurality of element data indicating the situation of the same coincide with each other, and the step A step of comparing the plurality of element data acquired in (a) and deriving a degree of match indicating the degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern; c) notifying the driver of information based on the degree of match.

  Further, the invention according to claim 10 is the information notification method according to claim 9, wherein (d) an accident occurs in the current situation of the vehicle based on the degree of coincidence and the occurrence rate of the accident of the accident pattern. A step of deriving a risk indicating the degree of possibility of occurrence, and the step (c) notifies the driver of the risk.

  According to the first to tenth aspects of the present invention, a degree of coincidence indicating the degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern is derived, and information based on the degree of coincidence is transmitted to the driver of the vehicle. Inform. For this reason, since different information can be alert | reported to a driver according to the present condition of a vehicle, a driver can be made aware of the danger of an accident.

  In particular, according to the inventions of claims 2, 6, 8 and 10, since the driver is informed of the possibility of an accident in the current situation of the vehicle, the driver is more strongly informed that there is a risk of an accident. It can make you conscious.

  In particular, according to the invention of claim 3, when the possibility that an accident will occur is relatively high, the degree of danger is notified to the driver. For this reason, the driver can be made aware that there is a risk of an accident at an effective timing for preventing the accident.

  In particular, according to the invention of claim 4, the vehicle driver is notified of information based on the degree of coincidence of the accident pattern in which the situation at the time of occurrence among the various accident patterns most closely approximates the current vehicle situation. Can do.

FIG. 1 is a diagram showing an overview of an information notification system. FIG. 2 is a diagram illustrating a configuration of the server apparatus. FIG. 3 is a diagram illustrating a configuration of the data transmission apparatus. FIG. 4 is a diagram illustrating a configuration of the information display device. FIG. 5 is a diagram showing a flow of processing related to data storage processing. FIG. 6 is a diagram illustrating an example of an accident database. FIG. 7 is a diagram showing a flow of pattern registration processing. FIG. 8 is a diagram illustrating an example of a pattern table. FIG. 9 is a diagram illustrating a process flow related to the risk level providing process. FIG. 10 is a diagram illustrating an example of a display on the display that notifies the degree of risk. FIG. 11 is a diagram illustrating a configuration of the information display device according to the second embodiment. FIG. 12 is a diagram illustrating a processing flow of the information display device according to the second embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<1. First Embodiment>
<1-1. System configuration>
FIG. 1 is a diagram showing an overview of an information notification system 100 according to the present embodiment. The information notification system 100 includes a server device 1 provided in an information providing center 7 which is an engine for providing information to a vehicle 8 such as an automobile, and in-vehicle devices 2 and 3 mounted on the vehicle 8. The server device 1 and the in-vehicle devices 2 and 3 can communicate with each other via a network 9 such as the Internet.

  There are two types of in-vehicle devices 2 and 3 mounted on the vehicle 8. One of the in-vehicle devices 2 and 3 is a data transmission device 2 that transmits information acquired in the vehicle 8 to the server device 1. The other of the in-vehicle devices 2 and 3 is the information display device 3 that notifies the driver (user) of the vehicle 8 of the information provided from the server device 1. In the vehicle 8, at least one of the data transmission device 2 and the information display device 3 is mounted. That is, while there is a vehicle 8 on which both the data transmission device 2 and the information display device 3 are mounted, there is also a vehicle 8 on which only one of the data transmission device 2 and the information display device 3 is mounted.

  When an event that is regarded as an accident occurs in the vehicle 8, the data transmission device 2 mounted on the vehicle 8 transmits accident data indicating the situation at the time of occurrence to the server device 1. The server device 1 acquires accident data from a plurality of vehicles 8 and accumulates the acquired accident data. Hereinafter, the processing of the server device 1 is referred to as “data storage processing”.

  And the server apparatus 1 registers the some accident which generate | occur | produced in the same condition as the same accident pattern based on the stored accident data. Hereinafter, the processing of the server device 1 is referred to as “pattern registration processing”. By this pattern registration process, a plurality of accident patterns are registered in the server device 1.

  On the other hand, the server device 1 receives travel data indicating the current situation of the vehicle 8 during normal travel from the information display device 3 of the vehicle 8. Then, the server device 1 derives a risk indicating the degree of possibility of an accident in the current situation of the vehicle 8 based on the accident pattern and the travel data, and provides it to the information display device 3 of the vehicle 8. To do. Hereinafter, the processing of the server device 1 is referred to as “risk degree provision processing”.

  The risk level thus provided is notified to the driver of the vehicle 8 by the information display device 3. As a result, the driver of the vehicle 8 on which the information display device 3 is mounted can recognize how much the accident is in the current situation of the vehicle 8. Hereinafter, the configuration and processing of the information notification system 100 will be described in detail.

<1-2. Configuration of server device>
FIG. 2 is a diagram illustrating a configuration of the server device 1. The server device 1 is a computer that includes a CPU 11, a RAM 12, and a ROM 13. The server device 1 further includes a communication unit 14 that performs communication via the network 9 and a hard disk 15 that is a nonvolatile storage device. The server device 1 can transmit and receive various types of information between the data transmission device 2 and the information display device 3 mounted on the vehicle 8 by the communication unit 14.

  Various programs are stored in the hard disk 15. Various functions necessary for the server device 1 are realized by the CPU 11 executing arithmetic processing according to this program. The accident data storage unit 11a, the pattern registration unit 11b, the match degree deriving unit 11d, the risk degree deriving unit 11e, and the risk degree transmitting unit 11f illustrated in FIG. 2 are functions realized by the CPU 11 executing arithmetic processing. Is part of.

  The accident data storage unit 11a is a function related to data storage processing. The pattern registration unit 11b is a function related to pattern registration processing. In addition, the match level deriving unit 11d, the risk level deriving unit 11e, and the risk level transmitting unit 11f are functions related to the risk level providing process. Details of these functions will be described later.

  The hard disk 15 stores an accident database 15a and a pattern table 15b. In the accident database 15a, accident data acquired from a plurality of vehicles 8 is accumulated. On the other hand, the pattern table 15b includes information related to a plurality of accident patterns based on the accident data stored in the accident database 15a.

<1-3. Configuration of data transmission device>
FIG. 3 is a diagram illustrating a configuration of the data transmission device 2. The data transmission device 2 includes a main body 200, a temperature sensor 210, and a GPS receiver 220. The main body 200 is disposed at an appropriate position in the passenger compartment of the vehicle 8. On the other hand, the temperature sensor 210 and the GPS receiving unit 220 are arranged at appropriate positions in the vehicle 8 independently of the main body unit 200. The temperature sensor 210 and the GPS receiver 220 are each connected to the main body 200 via a communication cable. Information acquired by each of the temperature sensor 210 and the GPS receiver 220 is input to the main body 200 via a communication cable.

  The temperature sensor 210 is provided outside the passenger compartment of the vehicle 8, for example, and acquires the “air temperature” around the vehicle 8 at the present time in degrees Celsius (° C.). The GPS receiving unit 220 is provided on the dashboard of the vehicle 8, for example, and receives signals from a plurality of GPS satellites to acquire the current “position” of the vehicle in latitude and longitude.

  Further, the main body 200 includes a control unit 20, a communication unit 21, a timer circuit 22, an acceleration sensor 23, a signal receiving unit 24, and a hard disk 25.

  The communication unit 21 has a communication function using a wireless communication technology such as WiMAX, and performs communication with other communication devices via the network 9. The data transmission device 2 can transmit and receive various types of information to and from the server device 1 through the communication unit 21.

  The timer circuit 22 acquires the current “time” in hours and minutes. The time measuring circuit 22 has a built-in battery and operates even if it does not receive power supply from the outside, and measures an accurate time.

  The acceleration sensor 23 detects an acceleration indicating the magnitude of the impact applied to the vehicle 8. The acceleration sensor 23 detects the magnitude of acceleration according to, for example, three or two axes orthogonal to each other.

  The signal receiving unit 24 is connected to the in-vehicle LAN 80 provided in the vehicle 8, and receives a signal output from the in-vehicle device provided in the vehicle 8 other than the data transmission device 2 via the in-vehicle LAN 80. The signal receiving unit 24 receives signals output from the vehicle speed sensor 81 and the airbag control device 82.

  The vehicle speed sensor 81 outputs a signal corresponding to the speed of the vehicle 8 based on the rotational speed of the axle of the vehicle 8. Based on the signal from the vehicle speed sensor 81, the signal receiving unit 24 acquires the current “speed” of the vehicle 8 at the speed (km / h).

  The airbag control device 82 generates gas when an impact is applied to the vehicle 8 to deploy the airbag. The signal receiving unit 24 acquires an airbag signal indicating whether or not the airbag has been deployed from the airbag control device 82.

  The hard disk 25 is a non-volatile storage device and stores map data 25a. The map data 25a includes information regarding the road on which the vehicle 8 can travel.

  The control unit 20 is a computer including a CPU 201, a RAM 202, and a ROM 203, and controls the entire apparatus. The function of controlling each part of the data transmission device 2 is realized by the CPU 201 executing arithmetic processing according to a program as firmware stored in advance in the ROM 203. A data acquisition unit 20a, an event detection unit 20b, and a data transmission unit 20c shown in the drawing are a part of functions realized by the CPU 201 executing arithmetic processing.

  The data acquisition unit 20 a performs control for acquiring a plurality of element data indicating the current situation of the vehicle 8. Specifically, the plurality of element data includes a “position” acquired by the GPS receiving unit 220, a “time” acquired by the timing circuit 22, a “speed” acquired by the signal receiving unit 24, and the temperature sensor 210. “Temperature” and “Weather”. Among these, “weather” is acquired from a predetermined weather information server on the network 9 by the data acquisition unit 20a. The weather information server stores the “weather” of each location at the present time, and in response to a request signal including the latitude and longitude, the “weather” of the point indicated by the latitude and longitude is “sunny” “cloudy” “rain” And “snow”. The data acquisition unit 20a acquires “weather” around the current vehicle 8 by transmitting a request signal including “position” acquired by the GPS receiving unit 220 to the weather information server via the communication unit 21. To do.

  The event detection unit 20b detects the occurrence of a predetermined event regarded as an accident. The event detection unit 20 b detects the occurrence of an event based on the acceleration acquired by the acceleration sensor 23, the “speed” acquired by the signal receiving unit 24, and the airbag signal acquired by the acceleration sensor 23.

  In addition, when the event detection unit 20b detects the occurrence of an event, the data transmission unit 20c receives accident data indicating the situation at the time of occurrence (that is, a plurality of element data acquired most recently at the time of occurrence of the event). Then, the data is transmitted to the server device 1 using the communication unit 21.

<1-4. Configuration of information display device>
FIG. 4 is a diagram illustrating a configuration of the information display device 3. The information display device 3 is a navigation device, for example, and includes a main body unit 300, a temperature sensor 310, and a GPS receiving unit 320. The main body 300 is disposed at an appropriate position in the passenger compartment of the vehicle 8. On the other hand, the temperature sensor 310 and the GPS receiving unit 320 are respectively arranged at appropriate positions in the vehicle 8 independently of the main body unit 300. Each of the temperature sensor 310 and the GPS receiving unit 320 is connected to the main body unit 300 by a communication cable. Information acquired by each of the temperature sensor 310 and the GPS receiver 320 is input to the main body 300 via a communication cable.

  The temperature sensor 310 is provided outside the passenger compartment of the vehicle 8, for example, and acquires the “temperature” around the vehicle 8 at the current time in degrees Celsius (° C.). The GPS receiving unit 320 is provided on the dashboard of the vehicle 8, for example, and receives signals from a plurality of GPS satellites to acquire the current “position” of the vehicle in latitude and longitude.

  The main body unit 300 includes a control unit 30, a communication unit 31, a display 32, a speaker 33, an operation unit 34, a timing circuit 35, a signal reception unit 36, a navigation unit 37, and a hard disk 38.

  The communication unit 31 has a communication function using a wireless communication technology such as WiMAX, and performs communication with other communication devices via the network 9. The information display device 3 can transmit and receive various types of information to and from the server device 1 through the communication unit 31.

  The display 32 displays information such as graphics and characters and notifies the information to the driver of the vehicle 8. The display 32 is arranged so that the screen can be viewed from the driver. The speaker 33 outputs various sounds to notify the driver of the vehicle 8 of information. The operation unit 34 includes a plurality of buttons arranged around the display 32 and receives an operation of the driver of the vehicle 8.

  The timer circuit 35 acquires the current “time” in hours and minutes. The time measuring circuit 35 has a built-in battery, and operates even if it does not receive power supply from the outside to measure an accurate time.

  The signal receiving unit 36 is connected to the in-vehicle LAN 80 provided in the vehicle 8, and receives a signal output from the in-vehicle device provided in the vehicle 8 other than the information display device 3 through the in-vehicle LAN 80. Based on the signal from the vehicle speed sensor 81, the signal receiving unit 36 acquires the current “speed” of the vehicle 8 at an hourly speed (km / h).

  The navigation unit 37 implements navigation functions such as map display and route guidance. The information display device 3 functions as a navigation device by including the navigation unit 37.

  The hard disk 38 is a non-volatile storage device and stores map data 38a. The navigation part 37 displays a map image on the display 32 using this map data 38a. The map data 38a includes information related to the road on which the vehicle 8 can travel.

  The control unit 30 is a computer including a CPU 301, a RAM 302, and a ROM 303, and controls the entire apparatus. The function of controlling each part of the data transmission device 2 is realized by the CPU 301 executing arithmetic processing according to a program as firmware stored in advance in the ROM 303. The data acquisition unit 30a, the risk level acquisition unit 30b, and the risk level notification unit 30c illustrated in the drawing are some of the functions realized by the CPU 301 executing the calculation process.

  The data acquisition unit 30 a performs control for acquiring a plurality of element data indicating the current situation of the vehicle 8. Specifically, the plurality of element data includes a “position” acquired by the GPS receiver 320, a “time” acquired by the timing circuit 35, a “speed” acquired by the signal receiver 36, and a temperature sensor 310. “Temperature” and “Weather”. Among these, “weather” is acquired from the weather information server on the network 9 by the data acquisition unit 30 a. The data acquisition unit 30a acquires “weather” around the current vehicle 8 by transmitting a request signal including the “position” acquired by the GPS receiving unit 320 to the weather information server via the communication unit 31. To do.

  The risk level acquisition unit 30 b acquires a risk level indicating the degree of possibility that an accident will occur in the current situation of the vehicle 8 from the server device 1. The risk level acquisition unit 30 b transmits travel data indicating the current status of the vehicle 8 (that is, a plurality of element data acquired at the current time) to the server device 1 via the communication unit 31. In response to the reception of the travel data, the server device 1 executes a risk level providing process and returns the risk level to the information display device 3. The risk level acquisition unit 30 b acquires the risk level returned from the server device 1 in this way via the communication unit 31.

  The risk notification unit 30 c notifies the driver of the risk acquired by the risk acquisition unit 30 b using the display 32.

<1-5. Data accumulation processing>
Next, data storage processing in which the server device 1 stores accident data will be described. FIG. 5 is a diagram illustrating a flow of processing related to data storage processing of both the data transmission device 2 and the server device 1.

  Under the control of the data acquisition unit 20a, the data transmission device 2 performs a process (step S11) of acquiring a plurality of element data indicating the current situation of the vehicle 8 at a predetermined cycle (for example, 1 second cycle) during startup. repeat.

  Specifically, the element data to be acquired include the “position” of the current vehicle 8, the “time” of the current vehicle, the “speed” of the current vehicle 8, the “temperature” around the current vehicle 8, and the current “Weather” around the vehicle 8. The data acquisition unit 20a stores the acquired element data in the RAM 202.

  The data acquisition unit 20 a abstracts the contents of the element data regarding “position”, “time”, “speed”, and “temperature”, and stores them in the RAM 202. That is, the data acquisition unit 20a classifies the specific contents indicated by the element data into abstract concepts, and stores the classification results in the RAM 202 as the contents of the element data.

  More specifically, the data acquisition unit 20a classifies the “position” indicated by latitude and longitude into any one of the road types of “highway”, “general national road”, “general road”, and “intersection”. The classified result is set as the “position” of the vehicle 8 at the present time. The data acquisition unit 20a refers to the road information included in the map data 25a to determine the road type at the “position” indicated by the latitude and longitude.

  In addition, the data acquisition unit 20a sets the "time" indicated in hours and minutes to "early morning (0: 00-6: 00)", "am (6: 00-12: 00)", "afternoon (12: 00- 18:00) "and" Night (18: 00-24: 00) ", and the result of the classification is the current" time ".

  Further, the data acquisition unit 20a changes the "speed" indicated by the speed (km / h) to "stop (0km / h)", "low speed (over 0km / h-less than 40km / h)", "medium speed (40km / h) h ”to less than −80 km / h)” and “high speed (80 km / h or more)”, and the classified result is the “speed” of the vehicle 8 at the present time.

  In addition, the data acquisition unit 20a sets the “temperature” indicated in Celsius (° C.) to “below freezing point (less than 0 ° C.)” “low temperature (0 ° C. to less than −15 ° C.)” ) ”And“ High temperature (30 ° C. or higher) ”, and the classified result is the“ temperature ”around the current vehicle 8.

  As a result of such processing, the “position” of the element data becomes one of four concepts of “highway”, “general national road”, “general road”, and “intersection”. Similarly, “time” is one of four concepts of “early morning”, “morning”, “afternoon”, and “nighttime”, and “speed” is four of “stop”, “low speed”, “medium speed”, and “high speed”. The “temperature” is one of four concepts of “below freezing point”, “low temperature”, “appropriate temperature”, and “high temperature”. The “weather” is one of four concepts of “sunny”, “cloudy”, “rain”, and “snow”.

  That is, the five element data (“position”, “time”, “speed”, “temperature”, and “weather”) are each represented by any one of four abstract concepts. Therefore, the current situation of the vehicle 8 is indicated by one of 1024 (4 to the 5th power) combinations of element data.

  In addition, while the element data is periodically acquired by the control of the data acquisition unit 20a as described above, it is monitored by the control of the event detection unit 20b whether or not a predetermined event regarded as an accident has occurred ( Step S12). The condition that the event detection unit 20b determines that a predetermined event has occurred is any one of the following conditions (A) to (C).

  (A) A case where acceleration equal to or higher than a predetermined value is continuously detected for a predetermined time or longer in the acceleration sensor 23. For example, when acceleration of 0.40 G or more is detected continuously for 100 milliseconds or more.

  (B) When the amount of decrease in the “speed” acquired by the signal receiving unit 24 within a predetermined period is equal to or greater than a threshold value. For example, when traveling at 60 km / h or more, the deceleration for 1 second becomes 14 km / h or more.

  (C) When the airbag signal acquired by the signal receiving unit 24 indicates that the airbag has been deployed.

  If any event occurs (Yes in step S12), the data transmission unit 20c reads the plurality of element data acquired most recently and stored in the RAM 202. Then, the data transmission unit 20c transmits the plurality of read element data to the server device 1 using the communication unit 21 as accident data indicating the situation at the time of occurrence of the accident (step S13).

  The accident data transmitted in this way is received by the communication unit 14 of the server device 1 (step S21). In response to the reception of the accident data, the accident data storage unit 11a of the server device 1 assigns a unique “accident ID” to the accident data. Then, the accident data storage unit 11a records the accident data in the accident database 15a (step S22).

  FIG. 6 is a diagram illustrating an example of the accident database 15a. The accident database 15a has a plurality of records Ra, and each record Ra indicates accident data related to one accident. In each record Ra, an “accident ID” for identifying an accident and element data (ie, “position”, “time”, “speed”, “temperature”, and “weather”) indicating the situation at the time of occurrence of the accident are included. It is associated. Such a record Ra of the accident database 15a is added every time accident data is received from the data transmission device 2 (that is, every time an accident occurs in the vehicle 8).

<1-6. Pattern registration process>
Next, a pattern registration process in which the server device 1 registers an accident pattern will be described. FIG. 7 is a diagram illustrating a flow of pattern registration processing of the server device 1. This pattern registration process is executed by the pattern registration unit 11b at a predetermined cycle (for example, a one-day cycle).

  First, the pattern registration unit 11b groups records that match a plurality of element data in the accident database 15a. Specifically, the pattern registration unit 11b sorts the plurality of records Ra registered in the accident database 15a by using element data (“position”, “time”, “speed”, “temperature”, and “weather”) as keys. . As a result, since the records with the matching element data are adjacent to each other, the pattern registration unit 11b sets a plurality of records Ra with the completely matching element data to the same group (step S31).

  For example, in the accident database 15a shown in FIG. 6, the records R1, R3, and R4 have the same group because the five element data completely match. Similarly, for the records R2 and R5, the five element data are completely matched, so that they are in the same group.

  Next, the pattern registration unit 11b refers to each group set in step S31, and identifies a group in which the number of records Ra included in the group exceeds a threshold (for example, 2). Then, the pattern registration unit 11b sets a plurality of accidents related to the identified group (that is, a plurality of accidents in which a plurality of element data indicating the situation at the time of occurrence) is the same accident pattern, and is common to those accidents. The element data is registered in the pattern table 15b (step S32).

  FIG. 8 is a diagram illustrating an example of the pattern table 15b. The pattern table 15b has a plurality of records Rb, and each record Rb indicates information related to one accident pattern. That is, a plurality of accident patterns are registered in the pattern table 15b.

  In each record Rb, “pattern ID” for identifying an accident pattern is associated with five element data of the accident pattern (that is, “position”, “time”, “speed”, “temperature”, and “weather”). It has been. Furthermore, in each record Rb, “occurrence number” indicating the number of accidents of the accident pattern in the past is registered. The “number of occurrences” corresponds to the number of accident records Ra of the accident pattern registered in the accident database 15a.

<1-7. Risk provision processing>
Next, the risk level providing process in which the server device 1 derives the risk level and provides it to the information display device 3 will be described. FIG. 9 is a diagram illustrating a process flow related to the risk level providing process of both the information display apparatus 3 and the server apparatus 1.

  During startup, the information display device 3 displays a map image including the position of the vehicle 8 on which the information display device 3 is mounted on the display 32 by the function of the navigation unit 37. Thereby, the position of the vehicle 8 (the position of the host vehicle) while the vehicle 8 is traveling is guided to the driver. On the other hand, the information display device 3 executes the process shown on the left side of FIG. 9 at a predetermined cycle (for example, a cycle of 10 seconds).

  First, a plurality of element data indicating the current situation of the vehicle 8 is acquired under the control of the data acquisition unit 30a (step S41). Specifically, the acquired element data includes the “position” of the current vehicle 8, the “time” of the current time, the “speed” of the current vehicle 8, the “temperature” around the current vehicle 8, and the current time This is the “weather” around the vehicle 8. The data acquisition unit 30a stores the acquired element data in the RAM 302.

  The data acquisition unit 30 a abstracts the contents of the element data regarding “position”, “time”, “speed”, and “temperature”, and stores them in the RAM 302. That is, the data acquisition unit 30a classifies the specific content indicated by the element data into an abstract concept, and stores the classification result in the RAM 302 as the content of the element data. This abstraction method is the same as step S11 in FIG.

  As a result, the “position” of the element data becomes one of four concepts of “highway”, “general national road”, “general road”, and “intersection”. Similarly, “time” is one of four concepts of “early morning”, “morning”, “afternoon”, and “nighttime”, and “speed” is four of “stop”, “low speed”, “medium speed”, and “high speed”. One of the four concepts, “temperature” is one of four concepts: “below freezing”, “low temperature”, “appropriate temperature” and “high temperature”, and “weather” is “sunny” “cloudy” “rain” and “snow” One of the four concepts.

  Next, the risk level acquisition unit 30 b reads a plurality of element data stored in the RAM 302. Then, the degree-of-risk acquisition unit 30b transmits the read plurality of element data as travel data indicating the current situation of the vehicle 8 to the server device 1 using the communication unit 31 (step S42).

  The traveling data transmitted in this way is received by the communication unit 14 of the server device 1 (step S51). The degree-of-match deriving unit 11d of the server device 1 derives a degree of match indicating the degree of approximation between the current situation of the vehicle 8 and the situation at the time of occurrence of the accident of the accident pattern in response to the reception of the travel data. .

  Specifically, the matching degree deriving unit 11d first acquires five element data of the accident pattern of one record Rb from which the matching degree is derived in the pattern table 15b. Then, the coincidence degree deriving unit 11d compares the five element data of the received traveling data with the five element data of the accident pattern, and determines whether or not the corresponding element data match. Based on the comparison result, the coincidence degree deriving unit 11d derives the coincidence degree AP. This matching degree AP is derived as a total value of five addition values P1 to P5 as shown in the following equation (1).

AP = P1 + P2 + P3 + P4 + P5 (1)
In Expression (1), P1 is an addition value added to the matching degree AP when the “position” matches. P2 is an addition value added to the matching degree AP when the “time” matches, P3 is an adding value added to the matching degree AP when the “speed” matches, and P4 is “temperature” ”Is an addition value added to the matching degree AP, and P5 is an addition value added to the matching degree AP when“ weather ”matches. These addition values P1 to P5 differ depending on the importance of the corresponding element data. That is, the higher the relationship between the element data and the accident, the higher the added value to be added to the matching degree AP when the element data matches.

  In the present embodiment, for example, the “position” addition value P1 is “3”, the “time” addition value P2 is “3”, the “speed” addition value P3 is “2”, and the “temperature” addition value. P4 is “1”, and the added value P5 of “weather” is “1”. Therefore, when the five element data are completely matched, the matching degree AP is “10”.

  The degree of coincidence deriving unit 11d performs such derivation of the degree of coincidence AP for each record Rb (that is, for each accident pattern) in the pattern table 15b (step S52). Thereby, the coincidence degree AP of all accident patterns registered in the pattern table 15b is derived.

  Next, based on the derived degree of agreement AP, the risk degree deriving unit 11e selects the one accident pattern having the highest degree of coincidence AP among all the accident patterns registered in the pattern table 15b (step S53). ). Thereby, the accident pattern whose situation at the time of occurrence is closest to the current situation of the vehicle 8 is selected.

  Next, the risk level deriving unit 11e indicates the degree of possibility that an accident will occur in the current situation of the vehicle 8 based on the matching level AP of the selected accident pattern (hereinafter referred to as “selected pattern”). Degrees are derived (step S54).

  Specifically, first, the risk level deriving unit 11e refers to the pattern table 15b, and acquires “number of occurrences” indicating the number of accidents of the selected pattern that occurred in the past. Then, the risk level deriving unit 11e derives the accident occurrence rate R of the selected pattern based on the acquired number of occurrences N and the total number T of all accidents that occurred in the past by the following equation (2). To do. As the total number T of accidents, the number of records Ra registered in the accident database 15a is used.

R = N / T (2)
Next, the risk level deriving unit 11e derives the risk level RP by the following equation (3) based on the selection pattern match level AP and the occurrence rate R of the selected pattern accident.

RP = AP × R × α (3)
In Expression (3), α is a predetermined coefficient, and is used to make the degree of risk RP a number having a predetermined number of digits (for example, one digit), for example. The risk level RP is rounded off by rounding off.

  When the risk level is derived in this way, the risk level transmission unit 11f transmits the derived risk level to the information display device 3 that is the transmission data source via the communication unit 14 (step S55). ).

  The transmitted risk level is received by the communication unit 31 of the information display device 3 (step S43). Thereby, the risk level acquisition unit 30b acquires a risk level indicating the degree of possibility of an accident in the current situation of the vehicle 8.

  When the risk level is acquired, next, the risk level notification unit 30c determines whether or not the risk level exceeds a predetermined threshold (for example, 3) (step S44). If the degree of risk exceeds a predetermined threshold, the degree-of-risk notification unit 30c displays the degree of risk on the display 32 and notifies the driver of the degree of risk as shown in FIG. 10 (step S45). In FIG. 10, the degree of danger is shown in a dialog D that is displayed so as to overlap the map image M that is normally displayed. In addition to such a display, a warning sound or a voice indicating the degree of danger (for example, “Danger degree 7. Please drive carefully.”) Is output from the speaker 33, and the degree of danger is given to the driver. You may make it alert | report.

  Since the degree of danger is notified in this way, the driver can recognize the degree of possibility that an accident will occur in the current situation of the vehicle 8. As a result, the driver can drive with a strong awareness of the danger of an accident, and can effectively prevent the occurrence of an accident.

  As described above, in the information notification system 100 according to the present embodiment, the server device 1 stores a plurality of element data indicating the situation at the time of occurrence of an accident of an accident pattern. Then, the information display device 3 of the vehicle 8 transmits a plurality of element data indicating the current situation of the vehicle 8 to the server device 1. In response to this, the server device 1 derives a degree of coincidence indicating the degree of approximation between the current situation of the vehicle 8 and the situation at the time of occurrence of the accident of the accident pattern, and information based on the degree of coincidence (that is, danger) Degree) is transmitted to the information display device 3. Then, the information display device 3 notifies the driver of the vehicle 8 of information based on the degree of match. Therefore, since different information can be notified to the driver according to the current situation of the vehicle 8, the driver can be made aware that there is a risk of an accident.

  In addition, since the driver is informed of the degree of danger that is the possibility of an accident in the current situation of the vehicle 8, the driver can be more strongly aware of the danger of an accident.

  Further, when the risk level exceeds the threshold value, that is, when the possibility of an accident occurring is relatively high, the risk level is notified to the driver. For this reason, the driver can be made aware that there is a risk of an accident at an effective timing for preventing the accident.

  In addition, the risk associated with the accident pattern having the highest degree of matching among the plurality of accident patterns (that is, the accident pattern in which the situation at the time of occurrence is the closest to the current situation of the vehicle 8) is determined by the driver. Informed. For this reason, it is possible to notify the driver of information that best matches the current situation of the vehicle 8.

<2. Second Embodiment>
In the first embodiment, the degree of match and the degree of risk are derived in the server device 1 and provided to the information display device 3 mounted on the vehicle 8. On the other hand, it is also possible to derive the degree of matching and the degree of risk with a single information display device of the vehicle 8. In the second embodiment, the information display device derives the degree of matching and the degree of risk in this way, and provides the driver with the derived degree of risk.

  FIG. 11 is a diagram illustrating a configuration of the information display device 3a according to the second embodiment. The configuration of the information display device 3a of the second embodiment is substantially the same as that of the information display device 3 of the first embodiment shown in FIG. 4, but is partially different. Specifically, the information display device 3 a does not include the communication unit 31 and does not have a communication function via the network 9. On the other hand, the information display device 3a includes a card slot 39 that can read and write data related to the memory card 90 that is a portable recording medium.

  The hard disk 38 of the information display device 3a stores a pattern table 38b together with the map data 38a. The pattern table 38b is the same information as the pattern table 15b stored in the hard disk 15 of the server device 1 in the first embodiment, and includes a plurality of element data for each of a plurality of accident patterns. The information display device 3a acquires the pattern table 38b by reading the memory card 90 storing the pattern table 38b with the card slot 39. The pattern table 38b is provided from an information provider by, for example, a download service using the Internet.

  The information display device 3a includes a data acquisition unit 30a, a coincidence degree deriving unit 30d, a risk degree deriving unit 30e, and a risk degree notifying unit 30c as functions realized by the CPU 301 executing arithmetic processing. Among these, the data acquisition unit 30a and the risk notification unit 30c have the same functions as the data acquisition unit 30a and the risk notification unit 30c included in the information display device 3 in the first embodiment. On the other hand, the coincidence degree deriving unit 30d and the risk degree deriving unit 30e have the same functions as the coincidence degree deriving unit 11d and the risk degree deriving unit 11e included in the server device 1 in the first embodiment.

  FIG. 12 is a diagram illustrating a processing flow of the information display device 3a that notifies the driver of the degree of risk. Also in the present embodiment, the information display device 3a displays a map image including the position of the vehicle 8 on which the information display device 3a is mounted on the display 32 by the function of the navigation unit 37 during activation. On the other hand, the information display device 3a executes the process shown in FIG. 12 at a predetermined cycle (for example, a cycle of 10 seconds).

  First, a plurality of element data indicating the current situation of the vehicle 8 is acquired under the control of the data acquisition unit 30a (step S61). Specifically, the acquired element data includes the “position” of the current vehicle 8, the “time” of the current time, the “speed” of the current vehicle 8, the “temperature” around the current vehicle 8, and the current time This is the “weather” around the vehicle 8. The data acquisition unit 30a abstracts the contents of the acquired element data in the same manner as in step S41 of FIG.

  Next, the degree-of-match deriving unit 30d reads a plurality of element data stored in the RAM 302. Then, the coincidence degree deriving unit 30d obtains a coincidence degree indicating the degree of approximation between the current situation of the vehicle 8 and the situation at the time of occurrence of the accident of the accident pattern based on the plurality of read element data and the pattern table 38b. Derived (step S62). The technique for deriving the degree of match is the same as that in step S52 in FIG. Thereby, the matching degree AP of all the accident patterns registered in the pattern table 38b is derived.

  Next, based on the derived degree of coincidence, the risk degree deriving unit 30e selects the one accident pattern having the highest degree of coincidence AP among all the accident patterns registered in the pattern table 38b (step S63). . Thereby, the accident pattern whose situation at the time of occurrence is closest to the current situation of the vehicle 8 is selected.

  Next, the risk level deriving unit 30e derives a risk level indicating the degree of possibility that an accident will occur in the current situation of the vehicle 8 based on the matching level AP of the selected accident pattern (step S64). The method for deriving this risk is the same as step S54 in FIG. The total number T of accidents necessary for deriving the accident occurrence rate R of the accident pattern may be stored in advance in the hard disk 38 together with the pattern table 38b.

  Once the risk level is derived, the risk level notification unit 30c next determines whether or not the risk level exceeds a predetermined threshold (step S65). If the degree of risk exceeds a predetermined threshold, the degree of risk notification unit 30c displays the degree of risk on the display 32 and notifies the driver of the degree of risk (step S66).

  As described above, in the information display device 3a according to the second embodiment, the risk level can be derived by the device alone and the risk level can be notified to the driver without communicating with the server device 1.

<3. Modification>
Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications are possible. Below, such a modification is demonstrated. All forms including those described in the above embodiment and those described below can be combined as appropriate.

  In the first embodiment, a plurality of element data acquired by the vehicle 8 is abstracted in the in-vehicle devices 2 and 3, but may be abstracted in the server device 1. In this case, the degree of abstraction may be changed depending on the number of records registered in the accident database 15a. That is, as the number of records registered in the accident database 15a increases, the content of the element data may be made more specific.

  In the first embodiment, the information display device 3 determines whether or not the degree of risk exceeds a threshold value. However, the server device 1 may determine the risk level. In this case, the risk level may be transmitted to the information display device 3 only when the risk level exceeds the threshold.

  In the first embodiment, the data transmission device 2 and the information display device 3 are described as separate devices. However, they may be integrated. When integrating in this way, a common processing unit such as a communication unit, a timing circuit, a signal receiving unit, a temperature sensor, and a GPS receiving unit is a single processing unit that functions as the data transmission device 2 and the information display device 3. Can be used for both.

  In the second embodiment, the pattern table 38b is acquired by reading from the memory card 90. However, the pattern table 38b may be acquired by downloading from a predetermined server via the network 9.

  In addition, the specific data (“position”, “time”, “speed”, “temperature”, and “weather”) as a plurality of element data in the above embodiment is an example, and the situation at the time of the accident and the vehicle 8 Other data may be adopted for some or all of the plurality of element data indicating the current situation. For example, “sleepiness” indicating the degree of sleepiness of the driver of the vehicle 8 may be adopted as the element data. This “sleepiness” can be determined based on biometric information such as the heart rate of the driver, for example. The heart rate can be obtained by a heart rate sensor disposed on a handle that the driver touches. Further, “degree of looking aside” indicating the degree that the driver is looking aside may be adopted as element data. This “degree of looking aside” can be obtained by extracting the driver's face and eye positions from a captured image obtained by a camera that captures the driver by pattern matching or the like, and determining the direction of the driver's line of sight.

  Moreover, in the said embodiment, although the danger level was alert | reported to the driver, you may make it alert | report a matching degree to a driver. Further, both the degree of match and the degree of danger may be notified to the driver.

  In the above embodiment, only the risk of the accident pattern with the highest degree of match is derived. On the other hand, the risk level may be derived for all accident patterns and the highest risk level may be notified to the driver.

  Further, in the above-described embodiment, it has been described that various functions are realized in software by the arithmetic processing of the CPU according to the program. However, some of these functions are realized by an electrical hardware circuit. Also good.

DESCRIPTION OF SYMBOLS 1 Server apparatus 2 Data transmitter 3 Information display apparatus 11d Match degree deriving part 11e Risk degree deriving part 11f Risk degree transmitting part 15a Accident database 15b Pattern table 30a Data acquisition part 30c Risk degree notifying part 32 Display

Claims (10)

An information notification system for reporting information to a driver of a vehicle,
An in-vehicle device mounted on the vehicle;
A server device that provides information to the in-vehicle device;
With
The server device
A plurality of accidents in which a plurality of element data indicating a situation at the time of occurrence coincide with each other as a same accident pattern, and storage means for storing the plurality of element data of the accident pattern;
Obtaining means for obtaining a plurality of element data indicating the current situation of the vehicle from the vehicle;
Comparing the plurality of element data acquired by the acquisition means and the plurality of element data of the accident pattern stored in the storage means, the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern First deriving means for deriving a degree of match indicating the degree of approximation with;
Transmitting means for transmitting information based on the degree of match to the in-vehicle device;
With
The in-vehicle device is
Informing means for informing the driver of information based on the degree of match,
An information notification system comprising: The information notification system according to claim 1,
The server device
Second deriving means for deriving a risk indicating the degree of possibility of an accident in the current situation of the vehicle based on the degree of coincidence and the accident occurrence rate of the accident pattern;
Further comprising
The transmission means transmits the degree of risk to the in-vehicle device,
The notification means notifies the driver of the degree of risk. In the information alerting | reporting system of Claim 2,
The notification means notifies the driver of the degree of danger when the degree of danger exceeds a threshold value. The information notification system according to claim 1,
The storage means stores the plurality of element data of each of a plurality of accident patterns,
The first deriving means derives the degree of match for each of the plurality of accident patterns,
The transmission means transmits information based on the degree of coincidence of the accident pattern having the highest degree of coincidence among the plurality of accident patterns. A server device that provides information to a vehicle,
A plurality of accidents in which a plurality of element data indicating a situation at the time of occurrence coincide with each other as a same accident pattern, and storage means for storing the plurality of element data of the accident pattern;
Obtaining means for obtaining a plurality of element data indicating the current situation of the vehicle from the vehicle;
Comparing the plurality of element data acquired by the acquisition means and the plurality of element data of the accident pattern stored in the storage means, the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern First deriving means for deriving a degree of match indicating the degree of approximation with;
Transmitting means for transmitting information based on the degree of match to an in-vehicle device mounted on the vehicle;
A server device comprising: The server device according to claim 5,
Second deriving means for deriving a risk indicating the degree of possibility of an accident in the current situation of the vehicle based on the degree of coincidence and the accident occurrence rate of the accident pattern;
Further comprising
The server is characterized in that the transmitting means transmits the degree of risk to the in-vehicle device. An in-vehicle device that is mounted on a vehicle and informs a driver of the vehicle,
A plurality of accidents in which a plurality of element data indicating a situation at the time of occurrence coincide with each other as a same accident pattern, and storage means for storing the plurality of element data of the accident pattern;
Obtaining means for obtaining a plurality of element data indicating a current situation of the vehicle;
Comparing the plurality of element data acquired by the acquisition means and the plurality of element data of the accident pattern stored in the storage means, the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern First deriving means for deriving a degree of match indicating the degree of approximation with;
Informing means for informing the driver of information based on the degree of match;
A vehicle-mounted device comprising: The in-vehicle device according to claim 7,
Second deriving means for deriving a risk indicating the degree of possibility of an accident in the current situation of the vehicle based on the degree of coincidence and the accident occurrence rate of the accident pattern;
Further comprising
The informing device notifies the driver of the degree of risk. An information notification method for notifying a driver of a vehicle of information,
(A) obtaining a plurality of element data indicating a current situation of the vehicle;
(B) A plurality of elements of the accident pattern stored in storage means for storing a plurality of element data of the accident pattern, with a plurality of accidents having a plurality of pieces of element data indicating the situation at the time of occurrence as the same accident pattern The degree of coincidence indicating the degree of approximation between the current situation of the vehicle and the situation at the time of occurrence of the accident of the accident pattern is derived by comparing the data and a plurality of element data acquired in the step (a) And a process of
(C) Informing the driver of information based on the degree of match;
An information notification method comprising: In the information alerting | reporting method of Claim 9,
(D) a step of deriving a risk indicating the degree of possibility of an accident in the current situation of the vehicle based on the degree of coincidence and the accident occurrence rate of the accident pattern;
Further comprising
The step (c) informs the driver of the degree of risk.

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