Driver condition determination device

Abstract

To improve accuracy in determining a low-safety driving state.SOLUTION: A driver state determination device 1 includes: a storage section 32 for pre-storing a driving action pattern of a driver of a vehicle 10 when the vehicle 10 passes a plurality of intersections as a reference driving action pattern for each intersection; a driving action pattern detection section 33 for detecting an actual driving action pattern being the driving action pattern of the driver of the vehicle 10 when the vehicle 10 passes the intersection with a larger deceleration degree; and a driving state determination section 34 for comparing the actual driving action pattern with the reference driving action pattern at the intersection with the larger deceleration degree, so as to determine that the driver is in a low-safety driving state when the gap degree is larger than a reference value.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a driver condition determination device. [Background technology]

[0002] As a technology relating to a driver condition determination device, for example, Patent Document 1 discloses a device that pre-stores a driver's unique driving behavior pattern when the driver is driving a vehicle in a state where the driver's psychological state is not disturbed, compares the stored driving behavior pattern with the driving behavior pattern during normal vehicle driving conditions, and determines that the driver is in an unsafe state if the comparison results are different. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 07-257 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, the driving behavior pattern of a driver when a vehicle passes through an intersection varies depending on the visibility and shape of the intersection. Therefore, even if the driving behavior pattern differs from a stored individual driving behavior pattern, it may not necessarily be said that the driver is in a low-safety driving state (a driving state with a low degree of safety). Therefore, the driver state determination device is required to realize a low-safety driving state determination according to the intersection that is passed through, for example, and to improve the accuracy of determining a low-safety driving state.

[0005] The present invention has been made in consideration of the above-mentioned circumstances, and an object of the present invention is to provide a driver condition determination device capable of improving the accuracy of determining an unsafe driving condition. [Means for solving the problem]

[0006] A driver condition determination device according to one embodiment of the present invention includes a memory unit that pre-stores the driving behavior pattern of a vehicle driver when the vehicle passes through a plurality of intersections as a reference driving behavior pattern for each intersection, a detection unit that detects the driving behavior pattern of the vehicle driver when the vehicle passes through an intersection, and a determination unit that compares the driving behavior pattern detected by the detection unit with the reference driving behavior pattern for the intersection stored in the memory unit, and determines that the vehicle driver is in a low-safety driving state if the degree of deviation is greater than a preset reference value.

[0007] This driver condition determination device can compare the driving behavior pattern when the vehicle actually passes through an intersection with the stored reference driving behavior pattern for the intersection to determine whether the driver is in an unsafe driving state. This makes it possible to determine whether the driver is in an unsafe driving state according to the intersection that the vehicle passes through, thereby improving the accuracy of determining whether the driver is in an unsafe driving state.

[0008] In the driver state determination device according to one aspect of the present invention, the driving behavior pattern may include at least one of the vehicle speed at the intersection entry position, the deceleration start position or deceleration start timing, and the degree of deceleration of the vehicle speed at the intersection position relative to the vehicle speed at the intersection entry position. In this case, by using at least one of the vehicle speed at the intersection entry position, the deceleration start position or deceleration start timing, and the degree of deceleration of the vehicle speed at the intersection position relative to the vehicle speed at the intersection entry position as the driving behavior pattern, it becomes possible to specifically determine whether or not the driver is in an unsafe driving state.

[0009] In the driver condition determination device according to one aspect of the present invention, the intersection may be an intersection where the deceleration in the reference driving behavior pattern of the intersection is greater than a set value. Since a significant difference in the driving behavior pattern of the driver at such an intersection is likely to appear depending on whether the driver is in an unsafe driving state, it is possible to further improve the accuracy of determining the unsafe driving state.

[0010] In the driver state determination device according to one aspect of the present invention, when the deviation degree is greater than a reference value and the vehicle speed at the entry position in the driving behavior pattern detected by the detection unit is greater than the vehicle speed at the entry position in the reference driving behavior pattern, the determination unit may determine that the driver is in a hurry as a low-safety driving state. In this case, it is possible to accurately determine whether the driver is in a hurry as a low-safety driving state.

[0011] In the driver state determination device according to one aspect of the present invention, when the deviation degree is greater than a reference value and the vehicle speed at the entry position in the driving behavior pattern detected by the detection unit is lower than the vehicle speed at the entry position in the reference driving behavior pattern, the determination unit may determine that the driver is in a state of high drowsiness or a state of absentmindedness as a low safe driving state. In this case, it becomes possible to accurately determine whether the driver is in a state of high drowsiness or a state of absentmindedness as a low safe driving state.

[0012] In the driver state determination device according to one aspect of the present invention, the reference driving behavior pattern may be an average value of a plurality of driving behavior patterns for each intersection, and the reference value of the deviation degree may be a value obtained by adding or subtracting three times the standard deviation of the plurality of driving behavior patterns for each intersection to or from the reference driving behavior pattern. In this case, it is possible to determine the reference value of the deviation degree by appropriately considering the variation in driving behavior patterns. Effect of the Invention

[0013] According to the present invention, it is possible to provide a driver condition determination device capable of improving the accuracy of determining an unsafe driving condition. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a block diagram showing the configuration of a driver condition determination device according to an embodiment. [Diagram 2] FIG. 2 is a graph showing driving behavior patterns. [Diagram 3]FIG. 3 is a flowchart showing the process of the driver condition determination device of FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the following description, the same or corresponding elements are designated by the same reference numerals, and duplicated description will be omitted.

[0016] FIG. 1 is a block diagram showing the configuration of a driver state determination device 1. The driver state determination device 1 shown in FIG. 1 is a device that determines whether or not a driver of a vehicle 10 (hereinafter, also simply referred to as "driver") is in a low-safety driving state. A low-safety driving state is a driving state in which the degree of safe driving is lower than normal. Examples of low-safety driving states include a state in which the driver is in a hurry, a state in which the driver is very sleepy, and a state in which the driver is absent-minded. The vehicle 10 is not particularly limited, and may be various vehicles. The low-safety driving state is not particularly limited, and may be a state other than the above.

[0017] The driver state determination device 1 includes an ECU 30. The ECU 30 is an electronic control unit including a processor such as a CPU [Central Processing Unit] and memories such as a ROM [Read Only Memory] and a RAM [Random Access Memory]. For example, the ECU 30 loads a program recorded in the ROM into the RAM and executes the program loaded into the RAM by the CPU to realize various functions. The ECU 30 may be composed of a plurality of electronic control units. The ECU 30 is mounted on the vehicle 10. The ECU 30 is connected to a GPS [Global Positioning System] receiver 21, an external sensor 22, an internal sensor 23, a map database 24, and an actuator 26.

[0018] The GPS receiver 21 receives signals from three or more GPS satellites to measure the position of the vehicle 10 (for example, the latitude and longitude of the vehicle 10). The GPS receiver 21 transmits the measured position information of the vehicle 10 to the ECU 30.

[0019] The external sensor 22 is an on-board sensor that detects the external environment of the vehicle 10. The external sensor 22 includes at least a camera. The camera is an imaging device that captures the external environment of the vehicle 10. The external sensor 22 may include a radar sensor. The radar sensor is a detection device that detects objects around the vehicle 10 using radio waves (e.g., millimeter waves) or light. The radar sensor includes, for example, millimeter wave radar or LIDAR (Light Detection and Ranging). The radar sensor detects objects by transmitting radio waves or light to the periphery of the vehicle 10 and receiving the radio waves or light reflected by the objects. The external sensor 22 may include a sonar sensor that detects sounds outside the vehicle 10.

[0020] The internal sensor 23 is an in-vehicle sensor that detects the traveling state of the vehicle 10. The internal sensor 23 includes a vehicle speed sensor and a brake pedal sensor. The vehicle speed sensor is a detector that detects the speed of the vehicle 10. The brake pedal sensor detects the amount of depression of the brake pedal by the driver.

[0021] The map database 24 is a database that records map information. The map database 24 is formed in a recording device such as a hard disk drive (HDD) mounted on the vehicle 10. The map information includes, for example, road position information, road shape information (for example, curvature information), and intersection and branch point position information. The map information may include landmark information used to acquire the position information of the vehicle 10. Examples of landmarks that may be used include road signs, road markings, traffic lights, utility poles, and the like. The map database 24 may be configured in a server that can communicate with the vehicle 10.

[0022] The actuators 26 are devices used to control the vehicle 10. The actuators 26 include at least a drive actuator, a brake actuator, and a steering actuator. The drive actuator controls the amount of air supplied to the engine (throttle opening) in response to a control signal from the ECU 30, thereby controlling the driving force of the vehicle 10. If the vehicle 10 is a hybrid vehicle, in addition to the amount of air supplied to the engine, a control signal from the ECU 30 is input to a motor serving as a power source to control the driving force. If the vehicle 10 is an electric vehicle, a control signal from the ECU 30 is input to a motor serving as a power source to control the driving force. The motor serving as a power source in these cases constitutes the actuator 26.

[0023] The brake actuator controls a brake system in response to a control signal from the ECU 30, and controls the braking force applied to the wheels of the vehicle 10. For example, a hydraulic brake system can be used as the brake system. The steering actuator controls the drive of an assist motor that controls the steering torque of the electric power steering system in response to a control signal from the ECU 30. In this way, the steering actuator controls the steering torque of the vehicle 10.

[0024] Next, a description will be given of the functional configuration of the ECU 30. The ECU 30 has an intersection recognition unit 31, a storage unit 32, a driving behavior pattern detection unit 33, a driving state determination unit 34, and a preventive safety system control threshold change unit 35. Some of the functions of the ECU 30 may be executed by a server capable of communicating with the vehicle 10.

[0025] The intersection recognition unit 31 recognizes an intersection through which the vehicle 10 passes, based on at least one of the position information of the GPS receiver 21, the map information of the map database 24, and the detection result of the external sensor 22. For example, the intersection recognition unit 31 may acquire information on the intersection through which the vehicle 10 passes by using a SLAM [Simultaneous Localization and Mapping] technique, using target information included in the map information of the map database 24 and the detection result of the external sensor 22. The intersection recognition unit 31 may recognize an intersection through which the vehicle 10 passes by using other well-known methods.

[0026] The storage unit 32 prestores the driving behavior pattern of the driver when the vehicle 10 passes through a plurality of intersections as a reference driving behavior pattern for each intersection. The driving behavior pattern is a behavior pattern related to driving. The driving behavior pattern includes the vehicle speed at the entrance position of the intersection (hereinafter also simply referred to as the "intersection entrance position"), the deceleration start position or deceleration start timing when passing through the intersection, and the deceleration rate of the vehicle speed at the intersection position relative to the vehicle speed at the entrance position of the intersection (hereinafter also simply referred to as the "deceleration rate"). The driving behavior pattern can be represented as data on a graph in which the horizontal axis represents the distance along the traveling direction of the vehicle 10 when passing through the intersection and the vertical axis represents the vehicle speed of the vehicle 10, as shown in FIG. 2, for example.

[0027] The intersection entry position is a position where the vehicle is considered to have entered the intersection, for example, a position a predetermined distance before the intersection position. The intersection position corresponds to a position where the vehicle speed is the smallest when passing through the intersection, for example, the center position of the intersection. The deceleration start position or deceleration start timing is, for example, a position when the brake pedal depression amount detected by the brake pedal sensor of the internal sensor 23 reaches a certain amount, or the timing at that time. The deceleration start position is a position between the intersection entry position and the intersection position. The reference driving behavior pattern is an average value of multiple driving behavior patterns for each intersection. The reference driving behavior pattern is acquired by learning using multiple driving behavior patterns detected under normal circumstances (described in detail later).

[0028] Returning to Fig. 1, the driving behavior pattern detection unit 33 detects the driving behavior pattern of the driver when the vehicle 10 passes through an intersection, based on at least one of the position information of the GPS receiver 21, the map information of the map database 24, and the detection results of the external sensor 22 and the internal sensor 23. Here, the driving behavior pattern detection unit 33 detects, as the actual driving behavior pattern, the driving behavior pattern when the vehicle 10 actually currently passes through an intersection where the deceleration is large.

[0029] An intersection with a large deceleration rate is an intersection where a significant difference in driving behavior patterns is likely to appear. An intersection with a large deceleration rate is, for example, a blind spot intersection with poor visibility. An intersection with a large deceleration rate is one of a plurality of intersections targeted by a plurality of reference driving behavior patterns stored in the storage unit 32. An intersection with a large deceleration rate is an intersection where the deceleration rate in the reference driving behavior pattern is greater than a preset value. For example, the preset value is 70% to 50%. As an example, an intersection with a large deceleration rate is an intersection where the vehicle speed at the intersection entry position is 40 km / h and the vehicle speed at the intersection position is 20 km / h in the reference driving behavior pattern. Note that an intersection with a large deceleration rate may be determined based on, for example, an image recognition result of an image acquired by the camera of the external sensor 22. As an example, when an intersection is determined to have a risk greater than a certain level based on the image recognition result (for example, when the road width is determined to be narrow or when the distance between the road and an obstacle is determined to be narrow), the intersection may be determined to be an intersection with a large deceleration rate.

[0030] The driving state determination unit 34 compares the actual driving behavior pattern detected by the driving behavior pattern detection unit 33 with the reference driving behavior pattern of the intersection where the deceleration is large, stored in the memory unit 32. If the result of the comparison shows that the degree of deviation is greater than a reference value, the driving state determination unit 34 determines that the driver is in a low-safety driving state. The reference value is a value set in advance. The reference value of the degree of deviation is a value obtained by adding or subtracting three times the standard deviation of multiple driving behavior patterns for each intersection (i.e., multiple normal driving behavior patterns used when calculating the reference driving behavior pattern) to or from the reference driving behavior pattern. In other words, the reference value of the degree of deviation is "reference driving behavior pattern ±3σ".

[0031] When the deviation degree is greater than the reference value and the vehicle speed at the entry position in the actual driving behavior pattern is greater than the vehicle speed at the entry position in the reference driving behavior pattern, the driving state determination unit 34 determines that the driving state is "a state in which the driver is in a hurry" as a low safe driving state. When the deviation degree is greater than the reference value and the vehicle speed at the entry position in the actual driving behavior pattern is lower than the vehicle speed at the entry position in the reference driving behavior pattern, the driving state determination unit 34 determines that the driving state is "a state in which the driver is highly sleepy or the driver is absent-minded" as a low safe driving state.

[0032] The preventive safety system control threshold change 35 changes the threshold of the preventive safety system control according to the determination result of the driving state determination unit 34. The preventive safety system control is control of a system related to preventive safety, represented by a collision damage mitigation brake. When the driving state determination unit 34 determines that the driver is in an unsafe driving state, the preventive safety system control threshold change 35 changes the threshold of the preventive safety system control so that the intervention control by the preventive safety system control becomes stronger or the intervention timing becomes earlier.

[0033] Next, an example of the process performed by the driver condition determination device 1 will be described with reference to the flowchart of FIG.

[0034] In the driver state determination device 1, first, a plurality of normal driving behavior patterns are detected by the driving behavior pattern detection unit 33 for each of a plurality of intersections in advance, and stored in the storage unit 32. As a result, for example, big data in which a plurality of normal driving behavior patterns are associated with each of a plurality of intersections is stored in the storage unit. Then, the accumulated plurality of normal driving behavior patterns for each of a plurality of intersections are averaged and learned as a reference driving behavior pattern. Here, when a newly detected driving behavior pattern is smaller than an allowable threshold in the range of ±3σ of the reference driving behavior pattern (driving behavior is stable) and the number of learning times reaches a certain number or more, learning is completed. Even after learning is completed, learning may be continued to respond to gradual changes in normal driving behavior patterns, and the reference driving behavior patterns for each of a plurality of intersections may be updated. The number of intersections to be learned is not particularly limited, and may be more than one.

[0035] Next, when the vehicle 10 actually passes through an intersection, the intersection is recognized by the intersection recognition unit 31 (step S1). The driving behavior pattern detection unit 33 determines whether the intersection that the vehicle 10 is currently passing through is an intersection with a large deceleration rate (step S2). In the above step S2, a reference driving behavior pattern of the intersection that the vehicle 10 is currently passing through is obtained from the storage unit 32, and if the deceleration rate in the reference driving behavior pattern is larger than a set value, the intersection is determined to be an intersection with a large deceleration rate.

[0036] If the answer is YES in step S2, the driving behavior pattern detection unit 33 acquires an actual driving behavior pattern when the vehicle 10 is currently passing through an intersection where deceleration is large (step S3). The driving state determination unit 34 compares the reference driving behavior pattern with the actual driving behavior pattern (step S4). The driving state determination unit 34 determines whether the degree of deviation between the reference driving behavior pattern and the actual driving behavior pattern is greater than a reference value (step S5).

[0037] The above steps S3 to S5 will be specifically described with reference to the example shown in Fig. 2. In Fig. 2, L0 is a reference driving behavior pattern, and LU and LD are reference values ​​that are ±3σ therebetween. B0 is the deceleration start position of the reference driving behavior pattern L0, and BU and BD are reference values ​​that are ±3σ therebetween. V0 is the vehicle speed at the intersection entry position of the reference driving behavior pattern L0, and VU and VD are reference values ​​that are ±3σ therebetween.

[0038] Assume that the actual driving behavior pattern X1 is acquired in step S3. In this case, the vehicle speed C1 at the intersection entry position of the actual driving behavior pattern X1 deviates beyond the reference values ​​VU, VD of the reference driving behavior pattern L0. The deceleration start position B1 of the actual driving behavior pattern X1 deviates beyond the reference values ​​BU, BD of the reference driving behavior pattern L0. The deceleration rate of the actual driving behavior pattern X1 is smaller than the deceleration rate of the reference driving behavior pattern L0 by a certain amount or more, and deviates beyond the reference value of the deceleration rate of the reference driving behavior pattern L0. Therefore, in this case, in step S5, it is determined that the degree of deviation between the reference driving behavior pattern L0 and the actual driving behavior pattern X1 is greater than the reference value.

[0039] Also assume that the actual driving behavior pattern X2 is acquired in step S3. In this case, the vehicle speed C2 at the intersection entry position of the actual driving behavior pattern X2 deviates beyond the reference values ​​VU, VD of the reference driving behavior pattern L0. The deceleration start position B2 of the actual driving behavior pattern X2 deviates beyond the reference values ​​BU, BD of the reference driving behavior pattern L0. The deceleration rate of the actual driving behavior pattern X2 is smaller than the deceleration rate of the reference driving behavior pattern L0 by a certain amount or more, and deviates beyond the reference value of the deceleration rate of the reference driving behavior pattern L0. Therefore, in this case, in step S5, it is determined that the degree of deviation between the reference driving behavior pattern L0 and the actual driving behavior pattern X2 is greater than the reference value.

[0040] If the answer is YES in step S5, the driving state determination unit 34 determines that the vehicle is in a low-safety driving state (step S6). In step S6, if the actual driving behavior pattern X1 in Fig. 2 is acquired, the vehicle speed C1 at the intersection entry position is greater than the reference value VU of the reference driving behavior pattern L0, so the driving state is determined to be a low-safety driving state in which the driver is in a hurry. In step S6, if the actual driving behavior pattern X2 in Fig. 2 is acquired, the vehicle speed C2 at the intersection entry position is lower than the reference value VD of the reference driving behavior pattern L0, so the driving state is determined to be a low-safety driving state in which the driver is highly sleepy or the driver is absent-minded.

[0041] After step S6, the threshold value of the preventive safety system control is changed by the preventive safety system control threshold change 35, and the intervention control by the preventive safety system control is strengthened or the intervention timing is advanced (step S7). On the other hand, if the answer is NO in step S2 or NO in step S5, the process ends as it is. After that, for example, when the vehicle 10 actually passes through the next intersection, the process of step S1 is executed again.

[0042] As described above, the driver condition determination device 1 can determine whether the driver is in an unsafe driving state by comparing the driving behavior pattern when the vehicle 10 actually passes through an intersection where deceleration is large with the stored reference driving behavior pattern for that intersection. This makes it possible to realize the determination of an unsafe driving state according to the intersection that is passed through, and improves the accuracy of the determination of an unsafe driving state.

[0043] In the driver state determination device 1, the driving behavior pattern includes the vehicle speed at the intersection entry position, the deceleration start position or deceleration start timing, and the deceleration rate. In this case, by using the vehicle speed at the intersection entry position, the deceleration start position or deceleration start timing, and the deceleration rate as the driving behavior pattern, it becomes possible to specifically determine whether the driver is in an unsafe driving state.

[0044] In the driver state determination device 1, the intersections of the reference driving behavior pattern and the actual driving behavior pattern compared by the driving state determination unit 34 are intersections where the degree of deceleration is large. At intersections where the degree of deceleration is large, a significant difference in the driving behavior pattern is likely to appear depending on whether the driver is in an unsafe driving state or not, so it is possible to further improve the accuracy of determining whether the driver is in an unsafe driving state.

[0045] In the driver state determination device 1, when the deviation degree is larger than the reference value and the vehicle speed at the intersection entry position in the actual driving behavior pattern is larger than the vehicle speed at the intersection entry position in the reference driving behavior pattern, the driving state determination unit 34 determines that the driver is in a hurry as a low-safety driving state. In this case, it becomes possible to accurately determine whether the driver is in a hurry as a low-safety driving state.

[0046] In the driver state determination device 1, when the deviation degree is larger than the reference value and the vehicle speed at the intersection entry position in the actual driving behavior pattern is lower than the vehicle speed at the intersection entry position in the reference driving behavior pattern, the driving state determination unit 34 may determine that the driver is in a highly drowsy state or in a distracted state as a low safe driving state. In this case, it becomes possible to accurately determine whether the driver is in a highly drowsy state or in a distracted state as a low safe driving state.

[0047] In the driver state determination device 1, the reference driving behavior pattern is the average value of multiple driving behavior patterns for each intersection. The reference value of the deviation degree is ±3 times the standard deviation σ of the multiple driving behavior patterns for each intersection from the reference driving behavior pattern. In this case, it is possible to determine the reference value of the deviation degree by appropriately considering the variation in driving behavior patterns.

[0048] The driver state determination device 1 automatically collects and compiles driving behavior patterns during normal times (usually), so there is no effort required on the part of the driver. The driver state determination device 1 can be used without special sensors such as a driver monitor, making it possible to reduce costs. When the driver falls into an unsafe driving state, the driver state determination device 1 can take measures such as strengthening intervention control by the preventive safety system control or advancing the timing of intervention, thereby enhancing the accident reduction effect.

[0049] In the driver state determination device 1, a scene for determining a low-safety driving state is a scene of passing through a blind intersection with poor visibility. At a blind intersection with poor visibility, if a pedestrian or bicycle suddenly jumps out, the jumping out situation cannot be visually recognized until just before, and once visually recognized, the timing is not right to prevent a collision. Therefore, under normal circumstances, the driver will consider in advance the possibility that "a pedestrian or bicycle may jump out," slow down and pass through carefully. However, when the driver is in a low-safety driving state, this caution and prediction cannot be performed, and the driving behavior pattern differs from that under normal circumstances. The driver state determination device 1 can use such a situation to determine a low-unsafe driving state.

[0050] Although various exemplary embodiments have been described above, various omissions, substitutions, and modifications may be made without being limited to the above-described exemplary embodiments.

[0051] In the above embodiment, the vehicle is provided with the internal sensor 23, the map database 24, and the GPS receiver 21, but it may be provided with only the internal sensor 23, or may be provided with only the map database 24 and the GPS receiver 21. In the above embodiment, the driving behavior pattern includes the vehicle speed at the intersection entry position, the deceleration start position or deceleration start timing, and the deceleration rate, but may include at least any of these. In the above embodiment, if it is determined that the driver is in a low-safety driving state, the driver may be notified of this fact to encourage improvement. In the above embodiment, the one intersection is an intersection with a large deceleration rate, but the one intersection is not particularly limited and may be any intersection. [Explanation of symbols]

[0052] 1... driver state determination device, 10... vehicle, 32... memory unit, 33... driving behavior pattern detection unit (detection unit), 34... driving state determination unit (determination unit).

Claims

1. A storage unit that stores in advance a driving behavior pattern of a driver of a vehicle when the vehicle passes through a plurality of intersections as a reference driving behavior pattern for each of the intersections; A detection unit that detects a driving behavior pattern of the driver of the vehicle when the vehicle passes through an intersection; a determination unit that compares the driving behavior pattern detected by the detection unit with the reference driving behavior pattern for the one intersection stored in the storage unit, and determines that the driver of the vehicle is in an unsafe driving state when a degree of deviation between the driving behavior pattern detected by the detection unit and the reference driving behavior pattern for the one intersection stored in the storage unit is greater than a preset reference value; The driving behavior pattern includes at least one of a vehicle speed at an intersection entry position, a deceleration start position or a deceleration start timing, and a deceleration rate of the vehicle speed at the intersection position relative to the vehicle speed at the intersection entry position, The one intersection is an intersection at which the degree of deceleration in the reference driving behavior pattern of the one intersection is greater than a reference value.

2. A storage unit that stores in advance a driving behavior pattern of a driver of a vehicle when the vehicle passes through a plurality of intersections as a reference driving behavior pattern for each of the intersections; A detection unit that detects a driving behavior pattern of the driver of the vehicle when the vehicle passes through an intersection; a determination unit that compares the driving behavior pattern detected by the detection unit with the reference driving behavior pattern for the one intersection stored in the storage unit, and determines that the driver of the vehicle is in an unsafe driving state when a degree of deviation between the driving behavior pattern detected by the detection unit and the reference driving behavior pattern for the one intersection stored in the storage unit is greater than a preset reference value; The driving behavior pattern includes at least one of a vehicle speed at an intersection entry position, a deceleration start position or a deceleration start timing, and a deceleration rate of the vehicle speed at the intersection position relative to the vehicle speed at the intersection entry position, The driver state determination device, wherein when the degree of deviation is greater than the reference value and the vehicle speed at the entry position in the driving behavior pattern detected by the detection unit is greater than the vehicle speed at the entry position in the reference driving behavior pattern, the determination unit determines that the driver is in a hurry, which is considered to be the unsafe driving state.

3. A storage unit that stores in advance a driving behavior pattern of a driver of a vehicle when the vehicle passes through a plurality of intersections as a reference driving behavior pattern for each of the intersections; A detection unit that detects a driving behavior pattern of the driver of the vehicle when the vehicle passes through an intersection; a determination unit that compares the driving behavior pattern detected by the detection unit with the reference driving behavior pattern for the one intersection stored in the storage unit, and determines that the driver of the vehicle is in an unsafe driving state when a degree of deviation between the driving behavior pattern detected by the detection unit and the reference driving behavior pattern for the one intersection stored in the storage unit is greater than a preset reference value; The driving behavior pattern includes at least one of a vehicle speed at an intersection entry position, a deceleration start position or a deceleration start timing, and a deceleration rate of the vehicle speed at the intersection position relative to the vehicle speed at the intersection entry position, The driver state determination device, wherein when the degree of deviation is greater than the reference value and the vehicle speed at the entry position in the driving behavior pattern detected by the detection unit is lower than the vehicle speed at the entry position in the reference driving behavior pattern, the determination unit determines that the driver is in a state of high drowsiness or that the driver is in a distracted state, as the unsafe driving state.

4. A storage unit that stores in advance a driving behavior pattern of a driver of a vehicle when the vehicle passes through a plurality of intersections as a reference driving behavior pattern for each of the intersections; A detection unit that detects a driving behavior pattern of the driver of the vehicle when the vehicle passes through an intersection; a determination unit that compares the driving behavior pattern detected by the detection unit with the reference driving behavior pattern for the one intersection stored in the storage unit, and determines that the driver of the vehicle is in an unsafe driving state when a degree of deviation between the driving behavior pattern detected by the detection unit and the reference driving behavior pattern for the one intersection stored in the storage unit is greater than a preset reference value; the reference driving behavior pattern is an average value of a plurality of the driving behavior patterns for each intersection; A driver state determination device, wherein the reference value of the degree of deviation is a value obtained by adding or subtracting three times the standard deviation of the multiple driving behavior patterns for each intersection to or from the reference driving behavior pattern.

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