JP2018181386A - Danger level judging device, risk degree judging method, and dangerous degree judging program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To be capable of improving a reliability of acquired biometric information and capable of accurately determining a degree of risk for each predetermined section using the reliable biometric information.SOLUTION: A risk degree determination apparatus 100 is comprised of: a biometric information acquisition unit 101 that acquires biometric information of an occupant of a moving object; and a determination unit 102 that determines a degree of danger of a moved predetermined section on the basis of the biometric information acquired by the biometric information acquiring unit 101 at a first point where the moving object is equal to or lower than a predetermined speed and a set reference value, before the moving object arrives at the first point.SELECTED DRAWING: Figure 1

Description

  BACKGROUND OF THE INVENTION Field of the Invention The present invention relates to a danger degree determination device for displaying energy consumption of a moving object, a danger degree determination method, and a danger degree determination program. However, the application of the present invention is not limited to the above-described danger degree determination device, danger degree determination method, and danger degree determination program.

  With the spread of navigation devices, it is known to reflect information on dangerous places on roads on map information for navigation. In addition, it is known that when the driver's heart rate rises rapidly while driving the vehicle, it is presumed that a dangerous state called "hiyari hat" has occurred.

  As a prior art, there is a technique of measuring biological reaction data reflecting the driver's mental state and operation data of the driver's vehicle, and determining that a dangerous reaction has occurred when these change significantly (for example, Patent Document 1 below). In addition, as a method of acquiring biological information, an electrocardiogram sensor is disclosed which arranges an electrode on a sheet and senses a weak signal from the heart (for example, see Patent Document 2 below).

JP 2007-47914 A JP, 2009-50679, A

  However, in the method of acquiring biological information as in the prior art, when the vehicle is traveling, noise is generated due to a change in contact resistance between the human body and the sensor generated due to vibration or driving operation accompanying traveling. There is a possibility that biological information can not be acquired accurately. As a result, there is a risk that the determination accuracy of the dangerous state may also be reduced.

  In order to solve the problems described above and to achieve the object, the danger degree determination device according to the invention of claim 1 comprises a biological information acquisition unit for acquiring biological information of a passenger of a moving body, and the moving body at a predetermined speed. Based on the biological information acquired by the biological information acquisition unit at the first point below and the set reference value, the mobile object moves before reaching the first point. And a determination unit that determines the degree of danger of the section.

  In the danger degree judging method according to the invention of claim 7, in the danger degree judging method carried out by the danger degree judging device, the moving body acquiring step of acquiring the living body information of the passenger of the moving body, and the moving body The moving object moved between the arrival at the first point based on the biological information acquired in the biological information acquisition step at the first point below the speed of the vehicle and the set reference value. And a determination step of determining the degree of danger of a predetermined section.

  Further, a danger degree determination program according to the invention of claim 8 is characterized by making a computer execute the danger degree determination method according to claim 7.

FIG. 1 is a block diagram showing a functional configuration of the danger degree determination device according to the embodiment. FIG. 2 is a flowchart showing the processing content of the danger degree determination device according to the embodiment. FIG. 3 is a block diagram showing the hardware configuration of the navigation device. FIG. 4 is a flowchart showing an example of system processing of risk degree determination using a navigation device and a server. FIG. 5 is a diagram showing a dangerous route on map data. FIG. 6 is a diagram showing an example of giving a near-miss score to a link.

  Hereinafter, preferred embodiments of a risk degree determination device, a risk degree determination method, and a risk degree determination program according to the present invention will be described in detail with reference to the accompanying drawings.

Embodiment
FIG. 1 is a block diagram showing a functional configuration of the danger degree determination device according to the embodiment. The risk degree determination device 100 includes a biological information acquisition unit 101, a determination unit 102, and a movement information acquisition unit 103. In addition to this, a storage unit 104, a display unit 105, and a route search unit 106 may be included.

  The biometric information acquisition unit 101 acquires biometric information of a passenger of a moving object. There are various conceivable methods for acquiring biological information, and this biological information acquires information such as the heart rate that changes with the traveling state of the moving object. For example, a sensor can detect the passenger's heart rate.

  The determination unit 102 determines the degree of risk in a predetermined section when the moving object moves. The determination unit 102 determines that the moving object is at the first point based on the biological information acquired by the biological information acquiring unit 101 at the first point where the moving object has become equal to or lower than a predetermined speed and the reference value set in advance. The degree of danger of the predetermined section (between the second point and the first point where it stopped last) which has moved before arrival is determined.

  For example, if the biometric information acquisition unit 101 is configured to detect the heart rate of the passenger using a sensor, the determination unit 102 determines that the risk of the corresponding predetermined section is high when there is an increase in the heart rate (sudden braking It is possible to judge that a dangerous running condition has arisen, such as a sudden steering. The predetermined section having a high degree of risk is highly likely to be a section in which a so-called "missing" is likely to occur. Although the details will be described later, the accuracy of the determination of the degree of danger can be further improved by collecting the information of the degree of danger of the predetermined section from the plurality of moving bodies (the degree-of-risk determination device 100).

  The predetermined speed or less is set according to the speed of the moving object at which the biological information acquisition unit 101 can stably acquire biological information. For example, when the mobile body is moving, when traveling above a predetermined speed, the biological information can not be acquired stably due to vibration or the like during traveling. On the other hand, if acquisition is performed at a predetermined speed or less, for example, when the moving object is stopped, biological information can be stably acquired without being affected by vibrations associated with traveling or driving operation.

  The reference value described above uses the biological information acquired by the biological information acquisition unit 101 at another point (second point) at which the moving object has reached a predetermined speed or less before the moving object arrives at the first point. be able to.

  The movement information acquisition unit 103 acquires information on the movement of the moving body (speed, acceleration calculated from the speed information, etc.). In this case, the determination unit 102 identifies the predetermined section based on the information acquired by the movement information acquisition unit 103.

  The storage unit 104 stores the determination result determined by the determination unit 102 in association with the predetermined section. The display unit 105 displays the degree of danger that is the determination result of the determination unit 102. For example, it becomes possible to display the degree of danger on the map in different display modes by using colors according to stages.

  The route search unit 106 searches for a travel route from the current location to the destination by setting input of the destination, and displays and outputs the route on the display unit 105 or the like. The route search unit 106 can search for a route based on the determination result (the degree of danger) of the determination unit 102. For example, it is possible to search for a travel route avoiding a predetermined section with a high degree of danger.

  FIG. 2 is a flowchart showing the processing content of the danger degree determination device according to the embodiment. The process content which the danger degree determination apparatus 100 performs is demonstrated. First, it is determined whether the moving speed of the moving object is equal to or less than a predetermined speed (for example, stop) (step S201). Here, if the speed is not lower than the predetermined speed (step S201: No loop) and if the speed is lower than the predetermined speed (step S201: Yes), the biological information acquisition unit 101 causes the passenger of the moving object (for example, driving) The person's biological information (for example, the heart rate of the driver) is acquired (step S202).

  Next, it is determined by the determination unit 102 whether the value of the biological information acquired in step S202 has a change from the value of the biological information at the time of previous acquisition (step S203). Here, if there is no significant change from the value of the biological information at the time of previous acquisition (step S203: No), the process returns to the process of step S201.

  On the other hand, if there is a large change from the value of the biological information at the time of previous acquisition (step S203: Yes), the determination unit 102 determines the degree of risk based on this change (step S204). In this way, it is possible to determine the degree of risk for a predetermined section from when the biological information was obtained last time to the time when it is obtained this time.

  For example, when the heart rate acquired this time largely increases with respect to the heart rate at the time of acquisition last time, it is determined that the degree of danger of the predetermined section is high. When the increase in the heart rate acquired this time is small with respect to the heart rate in the previous acquisition, it is determined that the risk in the predetermined section is low. The determination unit 102 can also determine that the degree of danger of the predetermined section is high when the heart rate at the time of the previous acquisition and the heart rate acquired at this time are both high. Since there are individual differences in heart rate, if multiple thresholds are set for the increase based on the normal heart rate, it is possible to judge multiple levels of risk taking into account individual differences. become.

  The above-described series of processing is performed each time the speed becomes lower than a predetermined speed (for example, every stop). As a result, while the moving body is moving, the degree of risk of each predetermined section from the previous stop to the current stop can be sequentially determined.

  In addition, since acquisition of biological information is performed every time the moving object stops or below a predetermined speed, noise and the like are reduced based on the influence of vibration of the moving object, etc., and a value as accurate as possible is obtained. You will be able to get it. As a result, the reliability of the acquired biological information can be improved, and the risk of each predetermined section can be accurately determined using reliable biological information.

  Fluctuations in biological information can be regarded as the appearance of driving stress (for example, an increase in heart rate), and a server etc. collects heart rate fluctuation distributions of many drivers from the risk determination device and processes them statistically on map data By doing this, the degree of danger can also be found on the map data and on the map display. On the other hand, it is possible to find a point or route with less risk and less driving stress, and present the driver with a less driving stress route.

  Hereinafter, examples of the present invention will be described. In the present embodiment, a navigation device mounted in a vehicle and capable of communicating with a server is used as the danger degree determination device 100, and an example in which the present invention is applied will be described. For example, the server can collect information from the navigation device 300, create a danger map indicating the degree of danger on the map, and deliver the danger map to the navigation device 300. By these servers and the plurality of navigation devices 300, it is possible to construct a system for determining the degree of danger.

(Hardware configuration of navigation device)
Next, the hardware configuration of the navigation device will be described. FIG. 3 is a block diagram showing the hardware configuration of the navigation device. In FIG. 3, the navigation device 300 includes a CPU 301, a ROM 302, a RAM 303, a magnetic disk drive 304, a magnetic disk 305, an optical disk drive 306, an optical disk 307, an audio I / F (interface) 308, a microphone 309, a speaker 310, an input device 311, A video I / F 312, a display 313, a camera 314, a communication I / F 315, a GPS unit 316, and various sensors 317 are provided. The respective configuration units 301 to 317 are connected by a bus 320.

  The CPU 301 is responsible for overall control of the navigation device 300. The ROM 302 stores a boot program, a data update program, a map data display program, and programs such as the above-described risk degree determination. The RAM 303 is used as a work area of the CPU 301. That is, the CPU 301 controls the entire navigation device 300 by executing various programs stored in the ROM 302 while using the RAM 303 as a work area.

  The magnetic disk drive 304 controls the reading / writing of the data with respect to the magnetic disk 305 according to control of CPU301. The magnetic disk 305 records data written under the control of the magnetic disk drive 304. As the magnetic disk 305, for example, an HD (hard disk) or an FD (flexible disk) can be used.

  Further, the optical disk drive 306 controls reading / writing of data with respect to the optical disk 307 according to the control of the CPU 301. The optical disc 307 is a removable recording medium from which data is read according to the control of the optical disc drive 306. The optical disc 307 can also use a writable recording medium. In addition to the optical disk 307, an MO, a memory card or the like can be used as a removable recording medium.

  As an example of the information recorded on the magnetic disc 305 and the optical disc 307, map data, vehicle information, road information, travel history, etc. may be mentioned. Map data is used when displaying information on the travelable distance in a car navigation system, background data representing features (features) such as buildings, rivers, and ground surfaces, and roads representing the shapes of roads by links or nodes. It includes shape data and the like. Here, the vehicle information, the road information, and the travel history are data relating to the road used as a variable in the estimation formula of the estimated consumption energy calculation.

  The audio I / F 308 is connected to the microphone 309 for audio input and the speaker 310 for audio output. The voice received by the microphone 309 is A / D converted in the voice I / F 308. The microphone 309 is installed, for example, in a dashboard section of a vehicle, and the number may be singular or plural. The speaker 310 outputs an audio obtained by D / A converting a predetermined audio signal such as route guidance in the audio I / F 308.

  The input device 311 includes a remote controller, a keyboard, a touch panel, and the like provided with a plurality of keys for inputting characters, numerical values, various instructions, and the like. The input device 311 may be realized by any one of a remote control, a keyboard, and a touch panel, but may also be realized by a plurality of modes.

  The video I / F 312 is connected to the display 313. Specifically, the video I / F 312 is output from, for example, a graphic controller that controls the entire display 313, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and the graphic controller It is comprised by control IC etc. which control the display 313 based on the image data.

  The display 313 displays icons, cursors, menus, windows, or various data such as characters and images. As the display 313, for example, a TFT liquid crystal display, an organic EL display, or the like can be used.

  The camera 314 captures an image inside or outside the vehicle. The video may be either a still image or a moving image. For example, the outside of the vehicle is photographed by the camera 314, and the photographed image is analyzed by the CPU 301, or a recording medium such as the magnetic disk 305 or the optical disk 307 via the video I / F 312. Output to

  The communication I / F 315 is connected to a wireless / wired network and functions as an interface between the navigation device 300 and the CPU 301. The communication network functioning as a network includes a public network, a mobile telephone network, DSRC (Dedicated Short Range Communication), LAN, WAN, CAN, and the like. The communication I / F 315 is, for example, a network module, a connection module for a public line, an ETC (nonstop automatic fee payment system) unit, an FM tuner, a VICS (vehicle information and communication system (registered trademark) / beacon receiver) or the like.

  The GPS unit 316 receives radio waves from GPS satellites and outputs information indicating the current position of the vehicle. The output information of the GPS unit 316 is used together with the output values of the various sensors 317 when the CPU 301 calculates the current position of the vehicle. The information indicating the current position is, for example, information specifying one point on the map data, such as latitude / longitude, altitude and the like.

  The various sensors 317 output information for determining the position and behavior of the vehicle, such as a vehicle speed sensor, an acceleration sensor, an angular velocity sensor, and an inclination sensor. The output values of the various sensors 317 are used for calculation of the current position of the vehicle by the CPU 301 and calculation of the amount of change in speed or direction.

  Each component of the risk degree determination apparatus 100 shown in FIG. 1 executes a predetermined program using the program or data recorded in the ROM 302, the RAM 303, the magnetic disk 305, the optical disk 307, etc. shown in FIG. Control functions of the navigation device 300. The navigation device 300 also has a route search function of performing a route search by executing a program of the CPU 301 based on the information of the current position of the mobile unit and the destination when the mobile unit requests a route search.

(Hardware configuration of server)
The server capable of communicating with the navigation device 300 also has the same configuration as that shown in FIG. In this server, the GPS unit 316, the various sensors 317, the camera 314, etc. shown in FIG. 3 are unnecessary.

  By the way, the server may have a function related to the risk degree determination of the risk degree determination device 100 illustrated in FIG. 1. In this case, if the server described above receives the biological information of the passenger (for example, the driver) of the moving body from the navigation device 300 every time the moving body becomes less than the predetermined speed (for example, stop), The degree of danger of the section up to that point can be determined based on the fluctuation of.

(Example of system processing of risk level judgment)
FIG. 4 is a flowchart showing an example of system processing of risk degree determination using a navigation device and a server. The processing on the navigation device 300 side and the processing on the server side are described respectively.

  In the process on the navigation device 300 side, first, it is determined whether the moving speed of the moving object is equal to or lower than a predetermined speed (in this example, during stop) (step S401). If the moving body is not stopping, it waits (step S401: No loop), and if stopping (step S401: Yes), acquires the heart rate as the biological information of the passenger (for example, driver) of the moving body At the same time, the position (latitude and longitude) of the mobile unit is detected (step S402).

  Next, the navigation device 300 determines whether there is a change in the value of the biological information (heart rate) acquired in step S402 from the value of the biological information (heart rate) at the time of previous acquisition (step S403). Here, if there is no significant change in the value of the biological information at the time of previous acquisition (step S403: No), the process returns to the process of step S401.

  On the other hand, if there is a large change in the value (heart rate) of the biological information at the time of previous acquisition (step S403: Yes), the navigation device 300 determines a dangerous route based on this change (step S404). The dangerous route is determined to be a dangerous route having a high degree of risk in a predetermined section from the time of the previous acquisition of the biological information to the time of the current acquisition.

  After that, the navigation device 300 transmits the information on the dangerous route to the server (step S405), and ends the process of stopping the mobile unit once.

  The process on the server side collects data of the dangerous route transmitted from the navigation device 300 for each stop of the moving object (step S411). This data collection can be collected from the navigation devices 300 of different mobiles respectively.

  Then, the server superimposes the received dangerous route on the position on the map data, and estimates a dangerous area from the dangerous route (step S412). The danger area is, for example, a route having a large number of overlapping danger routes (for example, the color becomes dark in superposition) when the danger routes transmitted from a plurality of moving bodies (navigation device 300) are superimposed on the position on map data. Route) is included.

  Thus, a danger map indicating the range of the danger area is created on the map data (step S413). For example, on the danger map, the danger route or the danger area can be displayed using red or the like which is easily visible. The created danger map can be distributed to a plurality of mobile units (navigation device 300) connected to the server, a PC, a smartphone, and the like. By referring to the danger map distributed, the user can easily determine the danger route or danger area where a lot of “missing” occurs when the moving object actually travels.

  The navigation device 300 can perform route search and notification to the driver using the information indicated by the distributed danger map. As a result, the navigation device 300 can search for a dangerous route and a planned route avoiding the dangerous area when searching for a route to a destination, can travel with good fuel efficiency, and can reduce accidents.

  In the above process, the navigation apparatus 300 side is configured to determine the dangerous route, but the present invention is not limited to this, and the server side may determine the dangerous route. In this case, in the process of step S405, the heart rate for each stop of the moving object acquired and detected in step S402 and the position (latitude and longitude) of the moving object are transmitted to the server. The server determines the change in heart rate every time the mobile unit stops (step S403), and if there is a large change in heart rate, determines the dangerous route based on this change. The dangerous route is obtained based on the position (latitude and longitude) of the previous and current moving objects on the map data.

  In addition, the transmission (upload) of the information on the dangerous route from the navigation device 300 to the server described above may be performed periodically, at any time, at various timings such as the driver's upload operation, etc. .

  In addition, the server calculates the current location and the destination of the mobile obtained by the server from the navigation device 300 and the danger route when distributing (downloading) the danger route or the danger area to the navigation device 300, and the risk route Can be searched for and distributed to the navigation device 300.

  In addition, in the tallying process of the information performed by the server, along with the various information described above, the attributes of the driver (male, female, age, driving experience (newbie etc.), transporters, etc.) , Taxis, large trucks, small trucks, home delivery trucks, buses, etc.) may also be added and processed. As a result, the danger route and the danger area suitable for the attribute of the mobile can be distributed to the navigation device 300 of this mobile. Furthermore, it is also possible to notify of a danger route or danger area suitable for the driver's attribute or time.

  Further, although the heart rate is used as the biological information in the above-described processing example, an average value of the heart rate may be obtained or the rate of change of the heart rate may be obtained for this heart rate. In addition to the heart rate, vehicle information (acceleration in the lateral direction of the moving object by G sensor etc., longitudinal acceleration, brake operation amount, steering wheel operation amount, etc.) other than the acceleration calculated from the speed and speed information is also acquired simultaneously. Good. Thereby, for example, it can be determined that the point where the change in acceleration is large is the point where the sudden braking or the sudden steering or the like is performed, and the degree of danger can be determined more accurately.

  In addition, even on the same road, the driving conditions are different by going straight, turning right, turning left, etc. For this reason, together with the biological information, the position and route of the moving object, time information, vehicle speed, acceleration information, etc. are acquired along with road shape information such as intersections and vehicle operation such as straight turn, right turn, left turn and vehicle progress status , Right turn, left turn etc. may be divided. In this way, it is possible to judge the degree of danger by dividing it into straight, right turn, left turn and the like. Also, the various information acquired may be attached to link information or node information on map data.

(About judgment of dangerous route)
The determination example of the danger degree using the heart rate mentioned above is concretely demonstrated. For the extraction of the above-mentioned “hya-ri-hat” event, an instantaneous heart rate obtained by converting one beat per beat into a heart rate per minute is used, and the degree of danger is determined by an increase in the instantaneous heart rate.

  Specifically, the average of the instantaneous heart rates of 30 beats before the occurrence of the “hya-ri-hat” event having an increased heart rate is calculated as the average instantaneous heart rate H1 before the occurrence of the event. In addition, the average of the instantaneous heart rates of 30 beats after the occurrence of the “fear hat” event is calculated as the average instantaneous heart rate H2 after the occurrence of the event. Then, the rate of increase in change in heart rate = (H2-H1) / (H1 + H2) is determined. The rate of increase in the change in heart rate is the above-mentioned risk, and hereinafter referred to as a near-miss score.

  Here, the criteria for detecting changes in biological information (heart rate) will be described. The reference value used to determine the change in the state of the living body information such as the heart rate is set to a constant value based on a certain statistical value such as the average value in the world. Then, if the heart rate increases above the reference value, it is determined that a "missing" event has occurred. In addition, the average of the measured values in the state where there is no change in the measured values may be used as the reference value.

  Furthermore, a value obtained by multiplying a constant ratio on the basis of these average values may be used as a determination value for determining a change. Further, the reference value and the determination value may always be fixed values, or may be sequentially updated such that the previous measurement value is used as a reference for the next determination. Further, the reference value and the determination value may be updated regularly or may be updated irregularly according to the situation. It may be changed for each point or route such as a link or a node. Also, it may be changed according to time information such as date and time.

  FIG. 5 is a diagram showing a dangerous route on map data. The dangerous route 501 can be displayed by adding the above-mentioned risk (a near-miss score) to link information or node information on the corresponding road data.

  As shown in FIG. 5, when the dangerous route 501 between the two stop positions (nodes A and B) of the moving object spans a plurality of links (n1 to n4) on the map data, a hiyari hatt score for each link It may be allocated to nodes or the like.

  The storage unit 104 of the navigation device 300 (risk degree determination device 100) stores map data and a danger route 501. The map data is basically composed of a set of a node corresponding to an intersection and a road link corresponding to a road connecting two intersections (nodes), and for map display or route calculation to a destination, etc. Used. In the example of FIG. 5, when heart rates are detected in the node A and the node B, respectively, a link that links the nodes A and B is given a near-miss score.

(Example of giving hiyari hatt score to multiple links)
FIG. 6 is a diagram showing an example of giving a near-miss score to a link. A hiyari-hat score is divided and given as shown to links 1 to 3 between the stopped nodes A-B.

  For a near-miss score to be given to a link in one travel section (between nodes A and B), a point with a fixed value may be assigned to each link, or the point value is changed and set according to the change in biological information. May be Further, information such as point, time, acceleration change, brake operation amount, steering wheel operation amount, vehicle acceleration and the like may be used, and in addition to them, change conditions of biological information may be taken into consideration. For example, when one travel section is composed of a plurality of links, point assignment to each link may be a constant value such as dividing points by the number of links, or may be changed according to the distance and speed of each link It is also good. In addition, if there is a lot of incidents of a certain link or route due to statistical processing of many data using a server or the like, it is possible to make the route or link point assignment larger or the like.

  In the giving example 1, when the incident value of the interval (between the nodes A and B) is 1, the incident values of 0.33 are equally applied to the three links 1 to 3 by 0.33. In the example 2 of assignment, when the incident value of the interval (between nodes A and B) is 2, it corresponds to the distance of the three links 1 to 3 and is 0.7 for link 1, and 2 for link 2. A link score of 0.5 and link 3 of 0.8 is given.

  In addition, what is necessary is just to allocate to one node of the link both ends, when assigning a near-miss score to several nodes of 1 driving | running | working area.

  By assigning a near-miss score to such a link or node, the navigation device 300 transmits, to the server, the risk level (the near-miss score) of each node or link as the dangerous route 501. As a result, the server can add up dangerous routes acquired from a plurality of mobile units (navigation device 300) in node or link units, and can determine the risk in node or link units. Also, the server can distribute the dangerous route to the navigation device 300 in node or link units.

  The above-mentioned danger route and danger area can be applied to information presentation to a truck operation manager and operation route presentation to the operation manager and driver for business use. Further, it can be applied to notification of a danger point, presentation of a danger avoidance route avoiding a point with a high degree of danger, and the like for general drivers. In addition, it can be applied to a highly safe route that avoids a dangerous route using information of a high risk point or route for an autonomous driving vehicle. In addition, for administrative services, provision of information that can be used for facility improvement such as facility manager, provision of information that can be used for security improvement for police etc. (for example, presentation of high risk points, signals It is applicable to examination information such as and signs, alerting etc.).

  The method of determining the degree of danger described in the present embodiment can be realized by executing a prepared program on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, a DVD, etc., and is executed by being read from the recording medium by a computer. Also, this program may be a transmission medium that can be distributed via a network such as the Internet.

DESCRIPTION OF SYMBOLS 100 danger degree determination apparatus 101 biometric information acquisition part 102 determination part 103 movement information acquisition part 104 memory | storage part 105 display part 106 route search part 300 navigation apparatus

Claims (1)

A biometric information acquisition unit that acquires biometric information of a passenger of a moving body;
Until the moving object arrives at the first point based on the biological information acquired by the biological information acquiring unit at the first point at which the moving object has fallen below a predetermined speed, and the set reference value A determination unit that determines the degree of danger of the predetermined section that has moved during the period;
A risk degree determination device comprising:

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