JP2015191256A - Risk degree determination device, risk degree determination method and risk degree determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve reliability of acquired biological information, and to accurately determine a risk degree of each predetermined section by using the reliable biological information.SOLUTION: A risk degree determination device 100 includes: a biological information acquisition part 101 which acquires biological information of an occupant of a moving body; and a determination part 102 which, based on the biological information acquired by the biological information acquisition part 101 at a first point where the speed of the moving body became equal to or lower than a predetermined speed, and a set reference value, determines a risk degree of a predetermined section where the moving body moved until reaching the first point.

Description

  The present invention relates to a danger level determination device, a risk level determination method, and a risk level determination program for displaying energy consumption of a moving object. However, the use of the present invention is not limited to the above-described risk degree determination device, risk degree determination method, and risk degree determination program.

  With the widespread use of navigation devices, it is known to reflect information on dangerous places on the road in map information for navigation. Further, it is known that when a driver's heart rate suddenly increases while driving a vehicle, it is assumed that a dangerous state called “near-miss” has occurred.

  As a conventional technique, there is a technique for measuring biological reaction data reflecting a driver's mental state and operation data of a driver's vehicle and determining that a dangerous reaction has occurred when these change significantly (for example, , See Patent Document 1 below). Moreover, an electrocardiographic sensor that senses a weak signal from the heart by disposing an electrode on a sheet is disclosed as a biological information acquisition method (see, for example, Patent Document 2 below).

JP 2007-47914 A JP 2009-50679 A

  However, in the biometric information acquisition method 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 due to vibration or driving operation associated with traveling. Therefore, there is a possibility that biological information cannot be obtained accurately. As a result, the determination accuracy of the dangerous state may be lowered.

  In order to solve the above-described problems and achieve the object, a risk degree determination device according to a first aspect of the present invention includes a biological information acquisition unit that acquires biological information of a passenger of a moving body, and the moving body has a predetermined speed. Based on the biometric information acquired by the biometric information acquisition unit at the first point and the reference value that has been set, the mobile object moves until the mobile unit arrives at the first point. And a determination unit that determines a risk level of the section.

  According to a seventh aspect of the present invention, there is provided a risk degree determination method according to the risk degree determination method performed by the risk degree determination device, wherein a biological information acquisition step of acquiring biological information of a passenger of the moving body, and the moving body is predetermined. Based on the biometric information acquired in the biometric information acquisition process at the first point where the speed is less than or equal to the set reference value, the moving body has moved until it arrives at the first point And a determination step of determining a degree of danger in a predetermined section.

  According to an eighth aspect of the present invention, a risk degree determination program causes a computer to execute the risk degree determination method according to the seventh aspect.

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

  Exemplary embodiments of a risk level determination apparatus, a risk level determination method, and a risk level determination program according to the present invention will be described below in detail with reference to the accompanying drawings.

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

  The biometric information acquisition unit 101 acquires biometric information of a passenger on a moving object. Various methods of acquiring biometric information are conceivable, and this biometric information acquires information that changes with the traveling state of the moving body, such as a heart rate. For example, the heart rate of the passenger can be detected by a sensor.

  The determination unit 102 determines the degree of risk in a predetermined section when the moving body moves. The determination unit 102 determines that the moving body is set to the first point based on the biometric information acquired by the biometric information acquiring unit 101 at the first point where the moving body has reached a predetermined speed or less and a preset reference value. The degree of danger in a predetermined section (between the second point and the first point stopped last time) moved until the arrival is determined.

  For example, if the biometric information acquisition unit 101 is configured to detect the occupant's heart rate with a sensor, the determination unit 102 has a high risk level in a corresponding predetermined section when the heart rate increases (sudden braking). It is possible to determine that a dangerous driving condition has occurred, such as a sudden steering wheel or a sharp steering wheel. The predetermined section with a high degree of risk is likely to be a section where a so-called “near-miss” is likely to occur. Although details will be described later, the accuracy of risk determination can be further improved by collecting information on the risk of the predetermined section from a plurality of moving bodies (danger level determination device 100).

  The predetermined speed or less is set in correspondence with the speed of the moving body that allows the biological information acquisition unit 101 to stably acquire biological information. For example, the moving body cannot stably acquire biometric information due to vibration during traveling or the like while traveling and traveling at a speed exceeding a predetermined speed. On the other hand, if the information is acquired at a predetermined speed or less, for example, when the moving body is stopped, the biological information can be stably acquired without being affected by vibrations or driving operations associated with traveling.

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

  The movement information acquisition unit 103 acquires information related to movement of the moving object (speed, acceleration calculated from the speed information, and the like). In this case, the determination unit 102 specifies 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 risk that is the determination result of the determination unit 102. For example, it is possible to display the degree of danger on the map in different display modes using colors for each stage.

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

  FIG. 2 is a flowchart illustrating the processing contents of the risk degree determination apparatus according to the embodiment. The contents of processing executed by the risk degree determination device 100 will be described. First, it is determined whether the moving speed of the moving body is equal to or lower than a predetermined speed (for example, stop) (step S201). Here, if the speed is not less than the predetermined speed, the process waits (step S201: No loop), and if the speed is equal to or lower than the predetermined speed (step S201: Yes), the biological information acquisition unit 101 causes the passenger (for example, driving) The biological information (for example, the driver's heart rate) is acquired (step S202).

  Next, it is determined whether the value of the biological information acquired in step S202 by the determination unit 102 is changed from the value of the biological information at the time of previous acquisition (step S203). Here, if there is no big change from the value of the biometric information at the time of previous acquisition (step S203: No), the processing returns to 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). This makes it possible to determine the degree of risk for a predetermined section from when the biometric information was acquired last time until the current acquisition time.

  For example, when the heart rate acquired this time has greatly increased with respect to the heart rate obtained at the previous acquisition, it is determined that the degree of risk in the predetermined section is high. When the increase in the heart rate acquired this time is small relative to the heart rate obtained at the previous acquisition, it is determined that the degree of risk in the predetermined section is low. In addition, the determination part 102 can also determine with the high risk degree of a predetermined area, when both the heart rate at the time of last acquisition and the heart rate acquired this time are high. Since heart rate varies among individuals, if multiple thresholds are set for increments based on the normal heart rate, the risk level can be judged in multiple stages taking into account individual differences. become.

  The above-described series of processing is executed every time the speed becomes lower than a predetermined speed (for example, every stop). Thereby, during the movement of the moving body, it is possible to sequentially determine the degree of risk for each predetermined section from the previous stop to the current stop.

  In addition, since the biometric information is acquired every time when the moving body is at a predetermined speed or less, such as when the moving body is stopped, noise and the like are reduced based on the influence of vibration or the like when the moving body travels, and the accurate value is obtained You can get it. Thereby, the reliability of the acquired biometric information can be improved, and the risk for each predetermined section can be accurately determined using the reliable biometric information.

  Changes in biological information can be seen as an indication of driving stress (for example, an increase in heart rate), and a server or the like collects the heart rate fluctuation distribution of many drivers from the risk assessment device and statistically processes it on map data By doing so, it becomes possible to find the degree of danger on the map data and on the map display. On the other hand, it is possible to find a point or a route with a low degree of danger and a low driving stress and to present a route with a low driving stress to the driver.

  Examples of the present invention will be described below. In the present embodiment, an example in which the present invention is applied will be described in which a navigation apparatus mounted on a vehicle and capable of communicating with a server is used as the danger degree determination apparatus 100. 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 distribute it to the navigation device 300. These servers and a plurality of navigation devices 300 can construct a risk degree determination system.

(Hardware configuration of navigation device)
Next, the hardware configuration of the navigation device will be described. FIG. 3 is a block diagram illustrating a hardware configuration of the navigation apparatus. In FIG. 3, a navigation device 300 includes a CPU 301, ROM 302, RAM 303, magnetic disk drive 304, magnetic disk 305, optical disk drive 306, optical disk 307, audio I / F (interface) 308, microphone 309, speaker 310, 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. Each component 301 to 317 is connected by a bus 320.

  The CPU 301 governs 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 determination. The RAM 303 is used as a work area for the CPU 301. That is, the CPU 301 controls the entire navigation device 300 by executing various programs recorded 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.

  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 disk 307 is a detachable recording medium from which data is read according to the control of the optical disk drive 306. As the optical disc 307, a writable recording medium can be used. In addition to the optical disk 307, an MO, a memory card, or the like can be used as a removable recording medium.

  Examples of information recorded on the magnetic disk 305 and the optical disk 307 include map data, vehicle information, road information, travel history, and the like. Map data is used to display information related to the distance that can be traveled in a car navigation system. Background data that represents features (features) such as buildings, rivers, and the ground surface, and roads that represent road shapes with links and nodes. Includes shape data. Here, the vehicle information, the road information, and the travel history are data relating to roads used as variables in the estimation formula for calculating the estimated energy consumption.

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

  Examples of the input device 311 include a remote controller having a plurality of keys for inputting characters, numerical values, various instructions, and the like, a keyboard, and a touch panel. The input device 311 may be realized by any one form of a remote control, a keyboard, and a touch panel, but may be realized by a plurality of forms.

  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 a graphic controller. And a control IC for controlling the display 313 based on the image data to be processed.

  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 images inside or outside the vehicle. The image 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. Or 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. Examples of communication networks that function as networks include public line networks, mobile phone networks, DSRC (Dedicated Short Range Communication), LAN, WAN, and CAN. The communication I / F 315 is, for example, a network module, a public line connection module, an ETC (Non-Stop Automatic Charge Payment System) unit, an FM tuner, a VICS (Vehicle Information and Communication System) / 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 information for specifying one point on the map data such as latitude / longitude and altitude.

  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 a tilt sensor. The output values of the various sensors 317 are used by the CPU 301 to calculate the current position of the vehicle and the amount of change in speed and direction.

  Each component of the risk determination device 100 shown in FIG. 1 uses a program or data recorded in the ROM 302, RAM 303, magnetic disk 305, optical disk 307, etc. shown in FIG. And the function is implement | achieved by controlling each part in the navigation apparatus 300. FIG. Further, the navigation device 300 has a route search function for performing a route search by executing a program of the CPU 301 based on information on the current position and the destination of the mobile body when a route search is requested from the mobile body.

(Hardware configuration of the server)
The server that can communicate with the navigation device 300 also has the same configuration as in FIG. In this server, the GPS unit 316, the various sensors 317, the camera 314, etc. shown in FIG. 3 are not necessary.

  By the way, the server may have a function related to the risk determination of the risk determination device 100 shown in FIG. In this case, if the server mentioned above receives the biological information of the passenger (for example, the driver) of the moving body every time the moving body becomes below a predetermined speed (for example, stop) from the navigation device 300, the server from the previous reception time. It is possible to determine the risk level of the previous section based on the fluctuation of

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

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

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

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

  Thereafter, the navigation device 300 transmits information on the dangerous route to the server (step S405), and ends the process of stopping the moving body once.

  The server-side process collects data on the dangerous route transmitted from the navigation device 300 every time the moving body stops (step S411). This data collection can be collected from the navigation devices 300 of a plurality of different mobile bodies.

  Then, the server superimposes the received dangerous route on the position on the map data, and estimates the dangerous area from this dangerous route (step S412). The dangerous area is, for example, a route having a large number of overlapping dangerous routes (for example, the color is darkened by overlapping) when the dangerous routes transmitted from a plurality of moving bodies (navigation devices 300) are superimposed on the position on the map data. Route).

  Thereby, the danger map which shows the range of a dangerous area on map data is produced (step S413). For example, the dangerous route and the dangerous area on the danger map can be displayed using red that is easy to visually recognize. The created danger map can be distributed to a plurality of mobile bodies (navigation device 300) connected to the server, PCs, smart phones, and the like. By referring to the distributed danger map, the user can easily determine a dangerous route or a dangerous area where a lot of “missing hats” are actually generated when the moving body travels.

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

  In the above processing, the navigation apparatus 300 side determines the dangerous route. However, the present invention is not limited to this, and the dangerous route may be determined on the server side. 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 performs a process of determining a change in heart rate (step S403) for each stop of the moving body. If there is a large change in the heart rate, a dangerous route is determined 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.

  Further, the transmission (upload) of the dangerous route information from the navigation device 300 to the server is not limited to when the moving body is stopped, but may be performed at various timings such as periodically and driver upload operation as needed. .

  In addition, the server calculates the current location and destination of the moving body and the dangerous route acquired by the server from the navigation device 300 when the dangerous route or dangerous area is distributed (downloaded) to the navigation device 300, and the dangerous route is obtained. It is also possible to search for a planned route to a destination that avoids the situation and distribute it to the navigation device 300.

  In addition, in the information aggregation processing performed by the server, the driver attributes (male, female, age, driving experience (beginners, etc.), transporters, etc.) and mobile attributes (light vehicles, ordinary passenger vehicles) together with the above various information Taxi, large truck, small truck, home delivery truck, bus, etc.) may also be added up. Thereby, the dangerous route and the dangerous area suitable for the attribute of the moving object can be distributed to the navigation device 300 of the moving object. Further, it is possible to notify a dangerous route and a dangerous area suitable for each attribute and time of the driver.

  In the processing example described above, the heart rate is used as the biological information. However, for this heart rate, an average value of the heart rate or a rate of change of the heart rate may be obtained. Further, vehicle information other than the acceleration calculated from the speed and speed information as well as the heart rate (transverse acceleration of the moving body, vertical acceleration, brake operation amount, handle operation amount, etc. by the G sensor or the like) may be acquired at the same time. Good. Thereby, for example, it is possible to determine that a point where the acceleration change is large is a point where sudden braking, sudden steering, or the like is performed, and it is possible to determine the degree of risk more accurately.

  Also, even on the same road, the traveling state differs depending on whether the vehicle is going straight, turning right, turning left. Therefore, along with biological information, the position and route of the moving body, time information, vehicle speed, acceleration information, etc. are acquired along with road shape information such as intersections, vehicle operations such as straight, right and left turns, and vehicle progress and straight ahead It may be divided into cases such as right turn and left turn. Thereby, it becomes possible to judge the degree of risk by dividing straightly into turns, right turns, left turns, and the like. Moreover, you may give the acquired various information to the link information and node information on map data.

(Dangerous route judgment)
An example of determining the degree of risk using the above-described heart rate will be specifically described. For the extraction of the “near-miss” event described above, an instantaneous heart rate obtained by converting each beat to a heart rate per minute is used, and the degree of risk is determined by an increase in the instantaneous heart rate.

  Specifically, the average of 30 instantaneous heart rates before the occurrence of a “missing hat” event with an increased heart rate is calculated as the average instantaneous heart rate H1 before the event. Further, the average of 30 instantaneous heart rates after the occurrence of the “near hat” event is calculated as the average instantaneous heart rate H2 after the occurrence of the event. Then, the rate of increase in heart rate change = (H2−H1) / (H1 + H2). The rate of increase in the change in heart rate is the above-mentioned risk level, and is hereinafter referred to as a near-miss score.

  Here, the reference | standard in the case of detecting the change of biometric information (heart rate) is demonstrated. A reference value for determining a change in state based on biological information such as a heart rate is set to a constant value based on a certain statistical value such as an average value in the world. If the heart rate increases above the reference value, it is determined that a “near-miss” event has occurred. In addition, an average of measured values in a state where there is no change among measured values may be used as a reference value.

  Further, a value obtained by multiplying a certain ratio with these average values as a reference may be used as a determination value for determining a change. Further, the reference value and the determination value may always be constant values, or may be updated sequentially 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 irregularly depending on the situation. You may change for every point and route, such as a link and a node. Moreover, you may change according to time information, such as a month day and time.

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

  As shown in FIG. 5, when a dangerous route 501 between two stop positions (nodes A-B) of a moving object extends over a plurality of links (n1 to n4) on map data, a near-miss score is assigned to each link or You may allocate to a node etc.

  The storage unit 104 of the navigation device 300 (risk degree determination device 100) stores map data and a dangerous route 501. Map data is basically composed of a set of nodes corresponding to intersections and road links corresponding to roads connecting two intersections (nodes), for map display or route calculation to the destination. Used. In the example of FIG. 5, when the heart rate is detected at each of the node A and the node B, a near-miss score is given to the link connecting the nodes A and B.

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

  The near-miss score given to the link in one travel section (between nodes A and B) may be assigned a fixed value point for each link, or may be set by changing the point value according to the change state of the biological information. May be. Further, the information may be changed using information such as a point, time, acceleration change, brake operation amount, steering wheel operation amount, vehicle acceleration, or the like, or may be changed in consideration of changes in biological information. For example, when one travel section is composed of multiple links, the points given to each link may be fixed values such as dividing the points by the number of links, or may be changed according to the distance and speed of each link. Also good. Further, when there are a lot of incidents on a certain link or route by statistical processing of a lot of data using a server or the like, it may be changed by increasing the point assignment of the route or link.

  In the example 1 of grant, when the near-miss score in the section (between the nodes A and B) is 1, the near-score score is equally assigned to the three links 1 to 3 by 0.33 points. In grant example 2, when the near-miss score in the section (between nodes A and B) is 2, it is assigned corresponding to the distance of the three links 1 to 3, 0.7 for link 1 and 2 for link 2 A near-miss score (point) of 0.5 is assigned to 0.5 and link 3.

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

  By assigning a near-miss score to such a link or node, the navigation apparatus 300 transmits a risk level (near-miss score) for each node or link as a dangerous route 501 to the server. As a result, the server can add up the dangerous routes acquired from a plurality of moving bodies (navigation devices 300) in units of nodes or links, and can determine the degree of danger in units of nodes or links. In addition, the server can distribute the dangerous route to the navigation device 300 in units of nodes or links.

  The above-mentioned danger route and danger area can be applied for business use to information presentation to a truck operation manager and operation route presentation to an operation manager and a driver. In addition, it can be applied to a general driver for the presentation of a danger avoidance route that avoids a dangerous point and avoids a high risk point. In addition, the present invention can be applied to an automatic driving vehicle for presenting a route with a high degree of safety that avoids a dangerous route using information on a point or route with a high degree of risk. In addition, for administrative services, provision of information that can be used to improve facilities such as facility managers, and provision of information that can be used to improve safety to the police etc. (for example, presentation of high-risk points, signals It can be applied to information for review such as signs and signs, alerts, etc.).

  Note that the risk degree determination method described in the present embodiment can be realized by executing a program prepared in advance 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, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a transmission medium that can be distributed via a network such as the Internet.

DESCRIPTION OF SYMBOLS 100 Risk degree determination apparatus 101 Biometric information acquisition part 102 Determination part 103 Movement information acquisition part 104 Storage part 105 Display part 106 Path | route search part 300 Navigation apparatus

Claims (8)

A biometric information acquisition unit that acquires biometric information of a passenger of the moving body;
Until the mobile body arrives at the first point based on the biological information acquired by the biological information acquisition unit at the first point at which the moving body has reached a predetermined speed or less and the set reference value. A determination unit for determining the degree of danger of a predetermined section moved during
A risk degree determination device characterized by comprising: The set reference value is biometric information acquired by the biometric information acquisition unit at a second point where the moving body becomes equal to or lower than the predetermined speed before the moving body arrives at the first point. ,
The risk degree determination apparatus according to claim 1, wherein: It further includes a movement information acquisition unit that acquires information related to movement of the moving object,
The determination unit identifies the predetermined section based on the information acquired by the movement information acquisition unit.
The risk degree determination apparatus according to claim 1 or 2, characterized in that A storage unit that stores the degree of risk determined by the determination unit and the predetermined section in association with each other;
The risk degree determination device according to any one of claims 1 to 3, wherein A display unit for displaying the degree of risk determined by the determination unit and the predetermined section on map information;
The degree-of-risk determination apparatus according to claim 1, wherein A route search unit for performing a route search based on the degree of risk determined by the determination unit and the predetermined section;
The risk degree determination apparatus according to any one of claims 1 to 5, wherein In the risk determination method performed by the risk determination device,
A biological information acquisition step of acquiring biological information of a passenger of the moving body;
Until the mobile body arrives at the first point based on the biometric information acquired in the biometric information acquisition step at the first point where the mobile body has become a predetermined speed or less and the set reference value. A determination step of determining the degree of danger of a predetermined section moved during
A risk level determination method characterized by including:   A risk determination program for causing a computer to execute the risk determination method according to claim 7.

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