WO2019193684A1 - Driving assistance device, driving assistance system, and driving assistance method - Google Patents

Driving assistance device, driving assistance system, and driving assistance method Download PDF

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Publication number
WO2019193684A1
WO2019193684A1 PCT/JP2018/014425 JP2018014425W WO2019193684A1 WO 2019193684 A1 WO2019193684 A1 WO 2019193684A1 JP 2018014425 W JP2018014425 W JP 2018014425W WO 2019193684 A1 WO2019193684 A1 WO 2019193684A1
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WIPO (PCT)
Prior art keywords
driving
passenger
information
vehicle
manual
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PCT/JP2018/014425
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French (fr)
Japanese (ja)
Inventor
卓矢 河野
真人 武田
良弘 中井
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三菱電機株式会社
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Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2018/014425 priority Critical patent/WO2019193684A1/en
Publication of WO2019193684A1 publication Critical patent/WO2019193684A1/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Definitions

  • the present invention relates to a driving support device, a driving support system, and a driving support method related to switching between automatic driving and manual driving of a vehicle.
  • the automatic operation control device described in Patent Document 1 determines that the driver's state is suitable for manual operation when the operation mode is set to a highly automated mode that executes automatic operation control. Then, the operation mode is switched to the basic mode and manual operation control is executed.
  • the above automatic driving control device is based on the captured image of the camera, and the driver's state such as “sitting in the driver's seat”, “looking at the front”, or “not in poor health” It is determined whether or not the state is suitable for manual operation.
  • the automatic operation control device switches to the basic mode when it is determined that the driver's state is not suitable for manual driving even if the driver performs an operation to switch the operation mode from the advanced automation mode to the basic mode. Continue the advanced automation mode.
  • the present invention has been made to solve the above-described problems, and an object thereof is to determine switching from automatic driving to manual driving in consideration of a passenger's familiarity with manual driving.
  • the driving support device includes a passenger information acquisition unit that acquires passenger information including at least information indicating a degree of manual driving familiarity of a passenger on the vehicle, and a driving situation indicating a driving situation of the vehicle.
  • the vehicle driving mode is manually changed from the automatic driving mode based on the driving status information acquisition unit for acquiring information, the passenger information acquired by the passenger information acquisition unit, and the driving status information acquired by the driving status information acquisition unit.
  • a switching determination unit that determines whether or not to switch to the operation mode.
  • the vehicle operation mode is changed from the automatic operation mode to the manual operation mode based on the passenger information including at least information indicating the familiarity of the manual operation of the passenger on the vehicle and the traveling state information. Therefore, it is possible to determine whether to switch from automatic driving to manual driving in consideration of the degree of habituation of manual driving by the passenger.
  • FIG. 1 is a block diagram illustrating a configuration example of a driving support system according to Embodiment 1.
  • FIG. 4 is a flowchart illustrating an operation example of the driving support apparatus according to the first embodiment.
  • 3 is a flowchart illustrating an operation example of a switching determination unit in the first embodiment.
  • 6 is a diagram illustrating an example of passenger information of a passenger who is boarding the host vehicle in the first embodiment.
  • FIG. 6 is a diagram illustrating an example of threshold values of levels of recommended factors possessed by a driving habituation model and a driving unfamiliar model in Embodiment 1.
  • FIG. 10 is a flowchart illustrating an operation example of a switching determination unit in the second embodiment. It is a figure which shows the example of the threshold value of the level of each recommendation factor which the driving familiar model and driving unfamiliar model in Embodiment 2 have.
  • 8A and 8B are diagrams illustrating a hardware configuration example of the driving support system according to each embodiment.
  • FIG. 1 is a block diagram illustrating a configuration example of a driving support system according to the first embodiment.
  • the driving support system includes a driving support device 10, an output device 1, an input device 2, and a driving mode control device 3, and is mounted on a vehicle.
  • a vehicle equipped with a driving support system is referred to as “own vehicle”.
  • the driving support device 10 includes a passenger information acquisition unit 11, a traveling state information acquisition unit 12, a host vehicle information output unit 13, a switching determination unit 14, a switching proposal unit 15, an operation information acquisition unit 16, and a driving mode output unit 17. Prepare.
  • the occupant information acquisition unit 11 acquires occupant information including at least information indicating the degree of habituation of manual driving of the occupant on the own vehicle.
  • the passenger is not limited to the passenger in the driver's seat, and may be a passenger in the passenger seat or the rear seat. When there are a plurality of passengers in the vehicle, the passenger information acquisition unit 11 acquires the passenger information for each passenger.
  • the passenger information acquisition unit 11 outputs the acquired passenger information to the own vehicle information output unit 13 and the switching determination unit 14.
  • the passenger information is, for example, network information outside the vehicle obtained via the Internet.
  • the network information outside the vehicle is at least one of the age, sex, driving history, accident history, or violation history of the passenger stored in the server device outside the vehicle.
  • the driving history is at least one of a passenger's manual driving distance, manual driving time, or manual driving frequency in a predetermined period (for example, the past three years).
  • the passenger information may be stored in a server device outside the vehicle, or may be stored in a storage device of the host vehicle.
  • the passenger information is, for example, in-vehicle information detected by a camera or a sensor installed in the vehicle.
  • the in-vehicle information is biological information including at least one of a passenger's facial expression, blood pressure, posture, pulse, or respiratory frequency.
  • the passenger information may be information related to the passenger, and is not limited to the above information.
  • the information source of the passenger information is not limited to the information source described above.
  • the traveling state information acquisition unit 12 acquires traveling state information representing the traveling state of the host vehicle.
  • the traveling state information acquisition unit 12 outputs the acquired traveling state information to the host vehicle information output unit 13 and the switching determination unit 14.
  • the traveling status information is, for example, network information outside the vehicle obtained via the Internet.
  • the network information outside the vehicle is information related to the terrain around the host vehicle, the weather around the host vehicle, and the road on which the host vehicle is traveling, which is stored in the server device outside the host vehicle.
  • the information regarding the road includes road type, road surface condition, number of lanes, lane width, and evaluation information indicating whether the vehicle is suitable for manual driving evaluated by a passenger of another vehicle.
  • the traveling state information is, for example, network information outside the vehicle obtained from other vehicles traveling around the host vehicle via inter-vehicle communication.
  • the network information outside the vehicle includes information indicating whether the operation mode of the other vehicle is the manual operation mode or the automatic operation mode.
  • the traveling state information is in-vehicle network information such as CAN (Controller Area Network), for example.
  • the in-vehicle network information is information related to the state of the host vehicle such as control of the host vehicle and body vibration.
  • the traveling state information is, for example, own vehicle surrounding information detected by a camera or a sensor installed outside the vehicle.
  • the own vehicle periphery information is at least one of the number of other vehicles traveling around the own vehicle, the topography around the own vehicle, the surrounding weather, or information on the road on which the own vehicle is traveling.
  • the traveling state information is, for example, own vehicle position information detected by a GPS (Global Positioning System) receiver or the like.
  • GPS Global Positioning System
  • the traveling state information is, for example, map information around the host vehicle.
  • the map information includes topography, height difference, type of road on which the vehicle is traveling, the number of lanes, the width of the lane, road branching, intersection position, junction position, and level crossing.
  • the map information may be stored in a storage device of the host vehicle, or may be stored in a server device outside the vehicle.
  • the travel status information may be information related to the travel status of the host vehicle, and is not limited to the information described above.
  • the information source of the traveling state information is not limited to the information source described above.
  • the own vehicle information output unit 13 receives the passenger information from the passenger information acquisition unit 11 and transmits it to the server device outside the vehicle.
  • This passenger information is stored in the above-mentioned server device outside the vehicle, and is handled as vehicle network information by the passenger information acquisition unit 11 of the host vehicle.
  • the host vehicle information output unit 13 receives the driving state information from the driving state information acquisition unit 12 and receives information indicating whether the driving mode of the host vehicle is the manual driving mode or the automatic driving mode from the driving mode output unit 17. These pieces of information are transmitted to the other vehicle or the server device outside the vehicle as own vehicle information. This own vehicle information is handled as outside network information in other vehicles or outside server devices.
  • the switching determination unit 14 receives the passenger information from the passenger information acquisition unit 11 and also receives the driving state information from the driving state information acquisition unit 12. In addition, the switching determination unit 14 receives information indicating whether the operation mode of the host vehicle is the manual operation mode or the automatic operation mode from the operation mode output unit 17 described later. When the driving mode of the host vehicle is the automatic driving mode, the switching determination unit 14 calculates a level for each recommended factor using the traveling state information. Moreover, the switching determination part 14 determines the characteristic model showing the familiarity degree of the manual driving
  • the switching determination unit 14 is preliminarily provided with four factors of comfort, ease, simplicity, and quietness as recommended factors. Note that the number and types of recommended factors are not limited to the above four.
  • the switching determination unit 14 calculates the level for each recommended factor, for example, as a value in the range of 0 to 100. The higher the level of the recommended factor, the easier it is to drive manually, and the lower the level, the more difficult it is to manually drive.
  • Comfort level represents the degree to which a passenger can travel comfortably when driving manually. For example, when the road surface of the current vehicle is flat, there are few traffic lights, there are few intersections, the scenery is good, the view is good, the evaluation by other passengers is high, and the speed limit is large. The level of comfort is higher.
  • the degree of simplicity represents the degree to which the passenger can easily drive when manually driving.
  • the road on which the vehicle is currently traveling is a straight line, a single lane, a wide lane, a toll road, few on-street parking, few traffic, good visibility, and no difference in elevation If so, the level of ease increases.
  • ⁇ Simpleness represents the degree to which passengers are less likely to get lost when driving manually. For example, the level of simplicity increases when there are few intersections, few branches, and wide lanes on the road on which the vehicle is currently traveling.
  • the degree of quietness represents the degree to which passengers are not affected by other vehicles when driving manually. For example, when there are few vehicles other than the road on which the vehicle is currently traveling, there are few bicycles, there are few pedestrians, and there are many lanes, the level of quietness is high.
  • the switching determination unit 14 is preliminarily provided with two characteristic models, a driving unfamiliar model with a relatively low degree of manual driving habituation and a driving habituation model with a relatively high degree of manual driving habituation. Note that there may be three or more characteristic models depending on the familiarity with manual driving.
  • the driving unfamiliar model is a characteristic model in which a passenger is not used to manual driving and is likely to request to get used to manual driving by actively performing manual driving on a plain road.
  • the driving habituation model is a characteristic model in which a passenger is accustomed to manual driving and is likely to require manual driving when he / she feels uncomfortable when driving comfortably on a road or in automatic driving.
  • Each characteristic model has a threshold for each recommended factor.
  • the switching determination unit 14 compares the calculated recommended factor level with the recommended factor threshold of the characteristic model, using the threshold value of the characteristic model determined for a certain passenger. When the comparison result satisfies a predetermined condition, the switching determination unit 14 determines that the passenger switches from the automatic driving mode to the manual driving mode, and when the predetermined condition is not satisfied, It is determined that the automatic operation mode is continued.
  • the switching proposal unit 15 receives the determination result for each passenger from the switching determination unit 14.
  • the switching proposal unit 15 generates proposal information for proposing switching to a passenger whose switching determination unit 14 has determined switching from the automatic driving mode to the manual driving mode.
  • the switching proposal unit 15 outputs the generated proposal information to the output device 1.
  • the output device 1 is at least one of a display and a speaker.
  • the output device 1 displays the proposal information received from the switching proposal unit 15 on the screen or outputs a voice, so that the switching determination unit 14 determines whether the automatic operation mode is switched to the manual operation mode.
  • the output device 1 indicates that the operation mode is switched from the automatic operation mode to the manual operation mode for the passenger by displaying the screen or voice output of the operation mode information received from the operation information acquisition unit 16 described later. Notice.
  • the input device 2 is at least one of a touch panel, a button, a remote controller, and a voice recognition device integrated with the display of the output device 1.
  • the passenger who has been determined to switch from the automatic operation mode to the manual operation mode by the switching determination unit 14 performs an operation to approve the input device 2 when approving the screen display of the output device 1 or the switching suggestion by voice output. Do.
  • the input device 2 accepts an operation for approving the switching proposal to the manual operation mode, and outputs the operation information to the operation information acquisition unit 16.
  • the operation information acquisition unit 16 receives, from the input device 2, operation information with a content that approves a switching proposal from the automatic operation mode to the manual operation mode.
  • the operation information acquisition unit 16 outputs the received operation information to the operation mode output unit 17.
  • the operation information acquisition unit 16 determines, based on the received operation information, at least the passenger who has approved the proposal to switch to the manual operation mode among the passengers who are on the vehicle. Operation mode information for notifying switching from the automatic operation mode to the manual operation mode is generated.
  • the operation information acquisition unit 16 outputs the generated operation mode information to the output device 1.
  • the operation mode output unit 17 receives operation information from the operation information acquisition unit 16 to approve the proposal for switching from the automatic operation mode to the manual operation mode.
  • the operation mode output unit 17 instructs the operation mode control device 3 to switch from the automatic operation mode to the manual operation mode.
  • the operation mode output unit 17 outputs information indicating whether the operation mode of the host vehicle is the manual operation mode or the automatic operation mode to the host vehicle information output unit 13 and the switching determination unit 14.
  • the operation mode control device 3 receives from the operation mode output unit 17 an instruction to switch from the automatic operation mode to the manual operation mode.
  • the driving mode control device 3 has switched from the automatic driving mode to the manual driving mode for various driving control devices that control the driving of the host vehicle such as an engine ECU (Electronic Control Unit) and a steering ECU (not shown). Is output as control instruction information. As a result, the control of the host vehicle is switched from automatic operation to manual operation.
  • FIG. 2 is a flowchart illustrating an operation example of the driving support device 10 according to the first embodiment.
  • the driving support apparatus 10 according to the first embodiment repeats the operation shown in the flowchart of FIG. 2 during startup.
  • the operation example of the driving assistance device 10 is demonstrated with reference to FIG.4 and FIG.5.
  • step ST1 the occupant information acquisition unit 11 acquires occupant information for each occupant on the own vehicle and outputs the occupant information to the switching determination unit 14.
  • FIG. 4 is a diagram showing an example of passenger information of the passenger 20 and the passenger 21 who are boarding the host vehicle.
  • the occupant information acquisition unit 11 recognizes the occupants 20 and 21 using an image captured by a camera installed in the vehicle, and the ID-20 and ID- corresponding to the recognized occupants 20 and 21 are recognized.
  • 21 passenger information is acquired from a server device outside the vehicle.
  • the passenger information includes ID, age, sex, mileage in the past three years, accident history, and violation history. This travel distance is a travel distance during manual operation, that is, a “manual operation distance”.
  • step ST2 the traveling state information acquisition unit 12 acquires the traveling state information of the host vehicle and outputs it to the switching determination unit 14.
  • step ST3 the switching determination unit 14 proceeds to step ST4 when the current operation mode of the host vehicle is the automatic operation mode (step ST3 “YES”), and when the current operation mode is the manual operation mode (step ST3 “NO”). Then, the operation shown in the flowchart of FIG.
  • step ST4 the switching determination unit 14 determines whether to switch from the automatic operation mode to the manual operation mode for each passenger.
  • FIG. 3 is a flowchart illustrating an operation example of the switching determination unit 14 in the first embodiment, and corresponds to step ST4 in FIG.
  • the switching determination unit 14 calculates the levels of comfort level, simplicity level, simplicity level, and quietness level based on the traveling state information acquired in step ST2.
  • the switching determination unit 14 uses the calculation methods exemplified in the following (1) to (4) to set the current comfort level to 75%, the ease level to 90%, and the simplicity level to 70. % And the level of quietness are calculated as 90%.
  • Comfort level ⁇ Because the current time is between 10:00 and 15:00, 10% is added. ⁇ The weather is clear. 10% is added. ⁇ Because the lane up to 5km ahead is wide, 10%. Addition ⁇ Because there are multiple lanes up to 5km ahead of own vehicle, 10% addition ⁇ Evaluation by passengers of other vehicles on the road that is running is high, so 5% addition ⁇ Limited speed is 50 km / h or more Therefore, 10% addition ⁇ Because there are 5 or less intersections within 5km ahead of the own vehicle, 10% addition ⁇ 10% addition because there are 5 or less crossings within 5km ahead of the own vehicle The total comfort level is 75%.
  • the percentage of other vehicles in the automatic driving mode is 75 out of the other vehicles other than 25 km before and after the own vehicle. More than 20%, 20% is added and the road underway is an automobile-only road, so adding 30% adds up to 90% quietness.
  • the switching determination unit 14 determines a characteristic model for each passenger based on the passenger information acquired in step ST1. For example, the switching determination unit 14 may select one of “travel distance is 100 km or less”, “travel distance is 300 km or less and there is an accident history within the past year”, or “3 or more accidents within the past year”. If this is true, the driving unfamiliar model is determined, and in other cases, the driving unfamiliar model is determined. As described above, the travel distance is a “manual driving distance”. In the example of FIG. 4, the switching determination unit 14 determines a driving familiar model for the passenger 20 and determines a driving unfamiliar model for the passenger 21.
  • FIG. 5 shows that the driving familiarity model of the passenger 20 defines a comfort threshold of 80%, a simplicity threshold of 40%, a simplicity threshold of 40%, and a quietness threshold of 60%.
  • the unfamiliar driving model of the passenger 21 defines a comfort threshold 60%, a plainness threshold 80%, a simplicity threshold 60%, and a quietness threshold 85%.
  • step ST13 the switching determination unit 14 compares the level of the recommended factor with a threshold value for each passenger.
  • the switching determination unit 14 proceeds to step ST14 when all the levels of comfort, ease, simplicity, and quietness are equal to or greater than the threshold (step ST13 “YES”), and otherwise (steps) ST13 “NO”), the process proceeds to step ST15.
  • step ST13 “YES” the threshold
  • step ST13 “NO” the threshold
  • the condition for switching to the manual operation mode the case where the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold value is set, but the condition is limited to this. It is not something.
  • step ST14 the switching determination unit 14 determines that the driving mode of the host vehicle is switched from the automatic driving mode to the manual driving mode for the passenger who satisfies the condition of step ST13.
  • step ST15 the switching determination unit 14 determines that the passenger does not satisfy the condition of step ST13 and continues the automatic driving mode without switching the driving mode of the host vehicle from the automatic driving mode to the manual driving mode.
  • step ST4 in FIG. 2 when the switching determination unit 14 determines switching to the manual operation mode for the passenger in step ST14 in FIG. 3 (step ST4 “YES”), the determination result is sent to the switching proposal unit 15. Output to step ST5.
  • step ST4 “NO” when the switching determination unit 14 determines the continuation of the automatic driving mode for the passenger at step ST15 in FIG. 3 (step ST4 “NO”), the operation illustrated in the flowchart in FIG.
  • step ST5 the switching proposal unit 15 causes the output device 1 to output the switching proposal to the manual operation mode to the corresponding passenger.
  • the output device 1 performs a screen display or a voice output of a message “It is easy to drive.
  • step ST6 the operation information acquisition part 16 acquires the operation information of the content which approves the switch proposal to the manual driving mode by the applicable passenger via the input device 2 (step ST6 "YES”), step. The process proceeds to ST7, and otherwise (step ST6 “NO”), the operation shown in the flowchart of FIG. 2 is terminated.
  • step ST7 the operation mode output unit 17 instructs the operation mode control device 3 to switch from the automatic operation mode to the manual operation mode, and executes the switch to the manual operation mode.
  • the operation information acquisition unit 16 outputs a notification that the operation mode is switched from the automatic operation mode to the manual operation mode from the output device 1 to the corresponding passenger.
  • the switching determination unit 14 switches the manual operation mode to the passenger 21 who is not used to manual driving because the levels of comfort, ease, simplicity, and quietness are all equal to or higher than the threshold.
  • the switching proposal unit 15 proposes switching to the manual operation mode.
  • the driving mode output unit 17 instructs the driving mode control device 3 to switch to the manual driving mode. Accordingly, it is possible to propose switching to the manual operation mode for a passenger 21 who is not used to manual driving in a situation where it is estimated that manual driving is easy.
  • the switching determination unit 14 determines that the automatic driving mode is continued without switching to the manual driving mode because the comfort level is less than the threshold. From this determination result, it is determined that the passenger 20 is used to manual driving and the necessity of recommending practice is low.
  • the switching determination unit 14 may perform switching determination from the manual operation mode to the automatic operation mode in addition to the switching determination from the automatic operation mode to the manual operation mode. For example, the switching determination unit 14 determines to switch from the manual operation mode to the automatic operation mode when the level of at least one of the four recommended factors is less than the threshold value.
  • the switching proposal unit 15 proposes switching from the manual operation mode to the automatic operation mode to the passenger.
  • the driving support device 10 the passenger information acquisition unit 11, the traveling state information acquisition unit 12, and the switching determination unit 14 are essential components, but the own vehicle information output unit 13, the switching proposal unit 15, the operation information acquisition unit. 16 and the operation mode output unit 17 are not essential components. That is, the driving support device 10 only needs to be able to determine switching from the automatic driving mode to the manual driving mode in consideration of at least the degree of familiarity with the manual driving of the passenger, and the determination result is transferred from the driving support device 10 to another in-vehicle device. May be made available to other in-vehicle devices.
  • the driving support device 10 includes the passenger information acquisition unit 11, the traveling state information acquisition unit 12, and the switching determination unit 14.
  • the occupant information acquisition unit 11 acquires occupant information including at least information indicating the degree of habituation of manual driving of the occupant on the vehicle.
  • the traveling state information acquisition unit 12 acquires traveling state information representing the traveling state of the vehicle.
  • the switching determination unit 14 changes the driving mode of the vehicle from the automatic driving mode to the manual driving mode based on the passenger information acquired by the passenger information acquiring unit 11 and the driving status information acquired by the driving status information acquiring unit 12. It is determined whether or not to switch. Thereby, the driving assistance device 10 can determine the switching from the automatic driving to the manual driving in consideration of the passenger's familiarity with the manual driving.
  • the driving support apparatus 10 includes a switching suggestion unit 15, an operation information acquisition unit 16, and an operation mode output unit 17.
  • the switching proposal unit 15 proposes switching to the manual operation mode for the passenger.
  • the operation information acquisition unit 16 acquires operation information with contents for approving the switching proposal to the manual operation mode by the switching proposal unit 15.
  • the operation mode output unit 17 instructs the operation mode control device 3 mounted on the vehicle to switch from the automatic operation mode to the manual operation mode.
  • the driving assistance device 10 can make the passenger himself / herself determine the switching from the automatic driving mode to the manual driving mode.
  • the driving assistance device 10 can recommend manual driving practice by proposing switching to the manual driving mode for a passenger who is unfamiliar with manual driving in a driving situation where manual driving is easy.
  • the information representing the degree of habituation of the passenger's manual driving in Embodiment 1 is at least one of the passenger's manual driving distance, manual driving time, or manual driving frequency in a predetermined period.
  • the driving assistance device 10 can accurately determine whether or not to switch from the automatic driving mode to the manual driving mode in consideration of the familiarity of manual driving based on the latest driving history such as the past three years. .
  • the traveling state information in the first embodiment is at least one of the number of other vehicles that are traveling around the vehicle or the operation mode in which the other vehicle is being executed.
  • the traveling status information is at least one of information on the terrain around the vehicle, the weather, or the road on which the vehicle is traveling.
  • the passenger information in the first embodiment is at least one of the age, sex, accident history, or violation history of the passenger.
  • the driving assistance device 10 can accurately determine whether or not to switch from the automatic driving mode to the manual driving mode in consideration of the familiarity of manual driving based on the accident history or the violation history.
  • Embodiment 2 Even when the driving support device 10 of the first embodiment determines that the automatic driving mode is to be continued without switching to the manual driving mode, the passenger feels dissatisfied or uncomfortable with the current automatic driving control and performs the manual driving. You may want to do it. Therefore, the driving assistance apparatus 10 according to the second embodiment considers the degree of dissatisfaction with the passenger's automatic driving when determining whether to switch from the automatic driving mode to the manual driving mode.
  • the degree of dissatisfaction described above represents the degree of dissatisfaction with the passenger's automatic driving mode. For example, when the passenger's facial expression is negative, the posture is not changed, the stress is large, and the vibration of the vehicle body is large, the level of dissatisfaction is high.
  • the level of recommended factors such as comfort, simplicity, simplicity, and quietness was common to all passengers on the vehicle, but the level of dissatisfaction was different for each passenger. Calculated.
  • the degree of dissatisfaction is treated preferentially over the comfort level, the ease level, the simplicity level, and the quietness level. That is, in the characteristic model of a certain occupant, the switching determination unit 14 is manually operated from the automatic operation mode regardless of the level of comfort, ease, simplicity, and quietness when the level of dissatisfaction is equal to or greater than the threshold. Determine to switch to operation mode.
  • FIG. 6 is a flowchart illustrating an operation example of the switching determination unit 14 according to the second embodiment, and corresponds to step ST4 in the flowchart of FIG. Below, the operation example of the driving assistance device 10 is demonstrated with reference to FIG.2, FIG4 and FIG.7. Further, the operation shown in the flowchart of FIG. 6 will be described focusing on the operation different from the operation shown in the flowchart of FIG. 3 of the first embodiment.
  • step ST11a the switching determination unit 14 determines the level of comfort, ease, simplicity, quietness, and dissatisfaction level based on the passenger information acquired in step ST1 and the driving situation information acquired in step ST2. Is calculated.
  • the switching determination unit 14 sets the current comfort level to 75%, the ease level to 90%, the simplicity level to 70%, and the quietness level to 90%. % Calculated.
  • the switching determination unit 14 calculates the dissatisfaction level of the current passenger 20 as 80% by the calculation method illustrated in (5) below. Although detailed explanation is omitted, it is assumed that the switching determination unit 14 calculates the current level of dissatisfaction of the passenger 21 as 50%.
  • the passenger 20 is a passenger who is used to manual driving
  • the passenger 21 is a passenger who is not used to manual driving.
  • FIG. 7 is a diagram showing an example of threshold values of levels of recommended factors possessed by the driving familiar model and the driving unfamiliar model.
  • the driving familiarity model of the passenger 20 defines a comfort level threshold value of 80%, an easiness level threshold value of 40%, a simplicity level threshold value of 40%, a quietness level threshold value of 60%, and a dissatisfaction level threshold value of 40%.
  • the unfamiliar driving model of the passenger 21 defines a comfort threshold 60%, a simplicity threshold 80%, a simplicity threshold 60%, a quietness threshold 85%, and a dissatisfaction threshold 60%. Yes.
  • step ST21 the switching determination unit 14 compares the level of the degree of dissatisfaction of the passenger with a threshold value for each passenger.
  • the switching determination unit 14 proceeds to step ST14 for passengers whose dissatisfaction level is greater than or equal to the threshold (step ST21 “YES”), and for passengers whose dissatisfaction level is less than the threshold (step ST21 “NO”).
  • the process proceeds to step ST13a.
  • step ST13a the switching determination unit 14 compares the level of the recommended factor other than the degree of dissatisfaction with the threshold for each passenger.
  • the switching determination unit 14 proceeds to step ST14 when the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold (step ST13a “YES”), and otherwise (step ST13a “NO”). ), Go to step ST15.
  • the switching determination unit 14 determines that the passenger 20 who is used to manual driving will continue the automatic driving mode without switching to the manual driving mode.
  • the switching determination unit 14 continues the automatic driving mode. Without determining whether to switch to manual operation mode.
  • the switching determination unit 14 sets the comfort level, the simplicity level, the simplicity level, and the quiet level as threshold values. Compare with The switching determination unit 14 determines that the passenger 21 who is not used to manual driving is switched to the manual driving mode because the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold value.
  • the switching determination unit 14 obtains the degree of dissatisfaction with respect to the automatic driving mode of the passenger based on the biological information during execution of the automatic driving mode, and performs automatic driving when the degree of dissatisfaction is equal to or greater than a threshold value. It is determined to switch from the mode to the manual operation mode.
  • the biometric information is at least one of a passenger's facial expression, blood pressure, posture, pulse, or respiratory frequency.
  • the driving assistance device 10 can determine the switching from the automatic driving mode to the manual driving mode in consideration of the degree of dissatisfaction with the passenger's automatic driving. Therefore, when the passenger feels dissatisfied or uncomfortable with the current automatic driving control and wants to perform manual driving, it is possible to propose switching to the manual driving mode.
  • FIGS. 8A and 8B are diagrams illustrating a hardware configuration example of the driving support system according to each embodiment.
  • Functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 in the driving support device 10. Is realized by a processing circuit. That is, the driving support device 10 includes a processing circuit for realizing the above functions.
  • the processing circuit may be the processing circuit 100 as dedicated hardware, or may be the processor 101 that executes a program stored in the memory 102.
  • the processing circuit 100 when the processing circuit is dedicated hardware, includes, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit). ), FPGA (Field Programmable Gate Array), or a combination thereof.
  • the functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 are a plurality of processing circuits. 100 may be implemented, or the functions of the respective units may be implemented together by a single processing circuit 100.
  • the processing circuit is the processor 101
  • the functions of the acquisition unit 16 and the operation mode output unit 17 are realized by software, firmware, or a combination of software and firmware.
  • Software or firmware is described as a program and stored in the memory 102.
  • the processor 101 reads out and executes a program stored in the memory 102, thereby realizing the function of each unit.
  • the driving support device 10 includes a memory 102 for storing a program that, when executed by the processor 101, results in the steps shown in the flowchart of FIG.
  • this program includes a passenger information acquisition unit 11, a traveling state information acquisition unit 12, a host vehicle information output unit 13, a switching determination unit 14, a switching proposal unit 15, an operation information acquisition unit 16, and a driving mode output unit 17. It can also be said that the procedure or method is executed by a computer.
  • the processor 101 is a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, or the like.
  • the memory 102 may be a RAM (Random Access Memory), a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), or a nonvolatile or volatile semiconductor memory such as a flash memory, a hard disk, a flexible disk, or the like.
  • the magnetic disk may be a CD (Compact Disc) or a DVD (Digital Versatile Disc).
  • the functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 are as follows.
  • the part may be realized by dedicated hardware, and a part may be realized by software or firmware.
  • the processing circuit in the driving support device 10 can realize the above-described functions by hardware, software, firmware, or a combination thereof.
  • the switching from the automatic driving mode to the manual driving mode is determined in consideration of the degree of familiarity of the passenger with manual driving. Suitable for use in devices and the like.

Abstract

According to the present invention, an occupant information acquisition unit (11) acquires occupant information that includes at least information indicating the degree of familiarity with manual driving with respect to an occupant boarding a vehicle. A traveling circumstance acquisition unit (12) acquires traveling circumstance information indicating a traveling circumstance of the vehicle. A switching determination unit (14) determines whether or not to switch a driving mode of the vehicle from an automatic driving mode to a manual driving mode, on the basis of the occupant information acquired by the occupant information acquisition unit (11) and the traveling circumstance information acquired by the traveling circumstance acquisition unit (12).

Description

運転支援装置、運転支援システム及び運転支援方法Driving support device, driving support system, and driving support method
 この発明は、車両の自動運転と手動運転との切り替えに関する運転支援装置、運転支援システム及び運転支援方法に関するものである。 The present invention relates to a driving support device, a driving support system, and a driving support method related to switching between automatic driving and manual driving of a vehicle.
 車両の自動運転技術が完全に実現されていない現状、車両は手動運転制御と自動運転制御とを適宜切り替える必要がある。例えば、特許文献1に記載された自動運転制御装置は、運転モードが自動運転制御を実行する高度自動化モードに設定されている場合に、運転者の状態が手動運転に適した状態であると判定すると、運転モードを基本モードに切り替えて手動運転制御を実行する。上記自動運転制御装置は、カメラの撮像画像等を元に、「運転席に着座している」、「視線が前方を向いている」、又は「体調不良状態でない」等、運転者の状態が手動運転に適した状態であるか否かを判定する。上記自動運転制御装置は、運転モードを高度自動化モードから基本モードに切り替える操作が運転者により行われたとしても、運転者の状態が手動運転に適した状態でないと判定した場合、基本モードに切り替えず高度自動化モードを継続する。 In the present situation where the vehicle automatic driving technology is not fully realized, it is necessary for the vehicle to appropriately switch between manual driving control and automatic driving control. For example, the automatic operation control device described in Patent Document 1 determines that the driver's state is suitable for manual operation when the operation mode is set to a highly automated mode that executes automatic operation control. Then, the operation mode is switched to the basic mode and manual operation control is executed. The above automatic driving control device is based on the captured image of the camera, and the driver's state such as “sitting in the driver's seat”, “looking at the front”, or “not in poor health” It is determined whether or not the state is suitable for manual operation. The automatic operation control device switches to the basic mode when it is determined that the driver's state is not suitable for manual driving even if the driver performs an operation to switch the operation mode from the advanced automation mode to the basic mode. Continue the advanced automation mode.
国際公開第2016/052507号International Publication No. 2016/052507
 車両が自動運転制御される状況が増えると、搭乗者が手動運転する頻度は低下する。すると、長期的に自動運転に慣れてしまった搭乗者は、運転能力が低下している恐れがある。しかしながら、従来の自動運転制御装置は以上のように構成されているので、自動運転制御から手動運転制御へ切り替える際に搭乗者の運転能力の欠如を考慮していないという課題があった。 ∙ As the situation in which the vehicle is automatically controlled increases, the frequency with which the passenger performs manual driving decreases. Then, a passenger who has become accustomed to automatic driving for a long time may have a reduced driving ability. However, since the conventional automatic driving control apparatus is configured as described above, there is a problem that the lack of the driving ability of the passenger is not considered when switching from the automatic driving control to the manual driving control.
 この発明は、上記のような課題を解決するためになされたもので、搭乗者の手動運転の慣れ度合いを考慮して、自動運転から手動運転への切り替えを判定することを目的とする。 The present invention has been made to solve the above-described problems, and an object thereof is to determine switching from automatic driving to manual driving in consideration of a passenger's familiarity with manual driving.
 この発明に係る運転支援装置は、車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を少なくとも含む搭乗者情報を取得する搭乗者情報取得部と、車両の走行状況を表す走行状況情報を取得する走行状況情報取得部と、搭乗者情報取得部により取得された搭乗者情報及び走行状況情報取得部により取得された走行状況情報に基づいて、車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定する切替判定部とを備えるものである。 The driving support device according to the present invention includes a passenger information acquisition unit that acquires passenger information including at least information indicating a degree of manual driving familiarity of a passenger on the vehicle, and a driving situation indicating a driving situation of the vehicle. The vehicle driving mode is manually changed from the automatic driving mode based on the driving status information acquisition unit for acquiring information, the passenger information acquired by the passenger information acquisition unit, and the driving status information acquired by the driving status information acquisition unit. A switching determination unit that determines whether or not to switch to the operation mode.
 この発明によれば、車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を少なくとも含む搭乗者情報と走行状況情報とに基づいて、車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定するようにしたので、搭乗者の手動運転の慣れ度合いを考慮して、自動運転から手動運転への切り替えを判定することができる。 According to the present invention, the vehicle operation mode is changed from the automatic operation mode to the manual operation mode based on the passenger information including at least information indicating the familiarity of the manual operation of the passenger on the vehicle and the traveling state information. Therefore, it is possible to determine whether to switch from automatic driving to manual driving in consideration of the degree of habituation of manual driving by the passenger.
実施の形態1に係る運転支援システムの構成例を示すブロック図である。1 is a block diagram illustrating a configuration example of a driving support system according to Embodiment 1. FIG. 実施の形態1に係る運転支援装置の動作例を示すフローチャートである。4 is a flowchart illustrating an operation example of the driving support apparatus according to the first embodiment. 実施の形態1における切替判定部の動作例を示すフローチャートである。3 is a flowchart illustrating an operation example of a switching determination unit in the first embodiment. 実施の形態1において自車両に搭乗している搭乗者の搭乗者情報の例を示す図である。6 is a diagram illustrating an example of passenger information of a passenger who is boarding the host vehicle in the first embodiment. FIG. 実施の形態1において運転慣れモデル及び運転不慣れモデルがもつ、各推奨因子のレベルの閾値の例を示す図である。6 is a diagram illustrating an example of threshold values of levels of recommended factors possessed by a driving habituation model and a driving unfamiliar model in Embodiment 1. FIG. 実施の形態2における切替判定部の動作例を示すフローチャートである。10 is a flowchart illustrating an operation example of a switching determination unit in the second embodiment. 実施の形態2において運転慣れモデル及び運転不慣れモデルがもつ、各推奨因子のレベルの閾値の例を示す図である。It is a figure which shows the example of the threshold value of the level of each recommendation factor which the driving familiar model and driving unfamiliar model in Embodiment 2 have. 図8A及び図8Bは、各実施の形態に係る運転支援システムのハードウェア構成例を示す図である。8A and 8B are diagrams illustrating a hardware configuration example of the driving support system according to each embodiment.
 以下、この発明をより詳細に説明するために、この発明を実施するための形態について、添付の図面に従って説明する。
実施の形態1.
 図1は、実施の形態1に係る運転支援システムの構成例を示すブロック図である。運転支援システムは、運転支援装置10、出力装置1、入力装置2、及び運転モード制御装置3を備える構成であり、車両に搭載される。以下では、運転支援システムが搭載された車両を「自車両」とする。
Hereinafter, in order to explain the present invention in more detail, modes for carrying out the present invention will be described with reference to the accompanying drawings.
Embodiment 1 FIG.
FIG. 1 is a block diagram illustrating a configuration example of a driving support system according to the first embodiment. The driving support system includes a driving support device 10, an output device 1, an input device 2, and a driving mode control device 3, and is mounted on a vehicle. Hereinafter, a vehicle equipped with a driving support system is referred to as “own vehicle”.
 運転支援装置10は、搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17を備える。 The driving support device 10 includes a passenger information acquisition unit 11, a traveling state information acquisition unit 12, a host vehicle information output unit 13, a switching determination unit 14, a switching proposal unit 15, an operation information acquisition unit 16, and a driving mode output unit 17. Prepare.
 搭乗者情報取得部11は、自車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を少なくとも含む搭乗者情報を取得する。搭乗者は、運転席に搭乗している搭乗者に限定されるものではなく、助手席又は後部座席等に搭乗している搭乗者であってもよい。搭乗者情報取得部11は、車内に複数の搭乗者が存在する場合、搭乗者ごとの搭乗者情報を取得する。搭乗者情報取得部11は、取得した搭乗者情報を自車両情報出力部13及び切替判定部14へ出力する。 The occupant information acquisition unit 11 acquires occupant information including at least information indicating the degree of habituation of manual driving of the occupant on the own vehicle. The passenger is not limited to the passenger in the driver's seat, and may be a passenger in the passenger seat or the rear seat. When there are a plurality of passengers in the vehicle, the passenger information acquisition unit 11 acquires the passenger information for each passenger. The passenger information acquisition unit 11 outputs the acquired passenger information to the own vehicle information output unit 13 and the switching determination unit 14.
 搭乗者情報は、例えば、インターネットを経由して得られる車外ネットワーク情報である。車外ネットワーク情報は、車外サーバ装置に格納されている、搭乗者の年齢、性別、運転歴、事故歴、又は違反歴のうちの少なくとも1つである。運転歴は、予め定められた期間(例えば、過去3年間)における搭乗者の手動運転距離、手動運転時間、又は手動運転回数のうちの少なくとも1つである。なお、この搭乗者情報は、車外サーバ装置等に格納されているものであってもよいし、自車両の記憶装置に格納されているものであってもよい。 The passenger information is, for example, network information outside the vehicle obtained via the Internet. The network information outside the vehicle is at least one of the age, sex, driving history, accident history, or violation history of the passenger stored in the server device outside the vehicle. The driving history is at least one of a passenger's manual driving distance, manual driving time, or manual driving frequency in a predetermined period (for example, the past three years). The passenger information may be stored in a server device outside the vehicle, or may be stored in a storage device of the host vehicle.
 また、搭乗者情報は、例えば、車内に設置されたカメラ又はセンサ等が検出する車内情報である。車内情報には、搭乗者の表情、血圧、姿勢、脈拍、又は呼吸頻度のうちの少なくとも1つを含む生体情報である。 Further, the passenger information is, for example, in-vehicle information detected by a camera or a sensor installed in the vehicle. The in-vehicle information is biological information including at least one of a passenger's facial expression, blood pressure, posture, pulse, or respiratory frequency.
 なお、搭乗者情報は、搭乗者に関係する情報であればよく、上述の情報に限定されるものではない。搭乗者情報の情報源も、上述の情報源に限定されるものではない。 The passenger information may be information related to the passenger, and is not limited to the above information. The information source of the passenger information is not limited to the information source described above.
 走行状況情報取得部12は、自車両の走行状況を表す走行状況情報を取得する。走行状況情報取得部12は、取得した走行状況情報を自車両情報出力部13及び切替判定部14へ出力する。 The traveling state information acquisition unit 12 acquires traveling state information representing the traveling state of the host vehicle. The traveling state information acquisition unit 12 outputs the acquired traveling state information to the host vehicle information output unit 13 and the switching determination unit 14.
 走行状況情報は、例えば、インターネットを経由して得られる車外ネットワーク情報である。車外ネットワーク情報は、車外サーバ装置に格納されている、自車両の周辺の地形、周辺の天候、自車両が走行中の道路に関する情報である。道路に関する情報は、道路種別、路面状態、車線数、車線の広さ、及び他車両の搭乗者が評価した手動運転に適しているか否かを表す評価情報等である。 The traveling status information is, for example, network information outside the vehicle obtained via the Internet. The network information outside the vehicle is information related to the terrain around the host vehicle, the weather around the host vehicle, and the road on which the host vehicle is traveling, which is stored in the server device outside the host vehicle. The information regarding the road includes road type, road surface condition, number of lanes, lane width, and evaluation information indicating whether the vehicle is suitable for manual driving evaluated by a passenger of another vehicle.
 また、走行状況情報は、例えば、車車間通信を経由して自車両の周辺を走行している他車両から得られる、車外ネットワーク情報である。車外ネットワーク情報は、他車両の運転モードが手動運転モードか自動運転モードかを表す情報を含む。 In addition, the traveling state information is, for example, network information outside the vehicle obtained from other vehicles traveling around the host vehicle via inter-vehicle communication. The network information outside the vehicle includes information indicating whether the operation mode of the other vehicle is the manual operation mode or the automatic operation mode.
 また、走行状況情報は、例えば、CAN(Controller Area Network)等の車内ネットワーク情報である。車内ネットワーク情報は、自車両の制御、及び車体振動等の自車両の状態に関わる情報である。 Further, the traveling state information is in-vehicle network information such as CAN (Controller Area Network), for example. The in-vehicle network information is information related to the state of the host vehicle such as control of the host vehicle and body vibration.
 また、走行状況情報は、例えば、車外に設置されたカメラ又はセンサ等が検出する自車両周辺情報である。自車両周辺情報は、自車両の周辺を走行している他車両の数、自車両の周辺の地形、周辺の天候、又は自車両が走行中の道路に関する情報のうちの少なくとも1つである。 In addition, the traveling state information is, for example, own vehicle surrounding information detected by a camera or a sensor installed outside the vehicle. The own vehicle periphery information is at least one of the number of other vehicles traveling around the own vehicle, the topography around the own vehicle, the surrounding weather, or information on the road on which the own vehicle is traveling.
 また、走行状況情報は、例えば、GPS(Global Positioning System)受信機等が検出する自車両位置情報である。 Further, the traveling state information is, for example, own vehicle position information detected by a GPS (Global Positioning System) receiver or the like.
 また、走行状況情報は、例えば、自車両の周辺の地図情報である。地図情報は、地形、高低差、自車両が走行している道路の種別、車線数、車線の広さ、道路の分岐、交差点の位置、ジャンクションの位置、及び踏切の位置等を含む。なお、地図情報は、自車両の記憶装置に格納されているものであってもよいし、車外サーバ装置等に格納されているものであってもよい。 Further, the traveling state information is, for example, map information around the host vehicle. The map information includes topography, height difference, type of road on which the vehicle is traveling, the number of lanes, the width of the lane, road branching, intersection position, junction position, and level crossing. Note that the map information may be stored in a storage device of the host vehicle, or may be stored in a server device outside the vehicle.
 なお、走行状況情報は、自車両の走行状況に関係する情報であればよく、上述の情報に限定されるものではない。走行状況情報の情報源も、上述の情報源に限定されるものではない。 Note that the travel status information may be information related to the travel status of the host vehicle, and is not limited to the information described above. The information source of the traveling state information is not limited to the information source described above.
 自車両情報出力部13は、搭乗者情報取得部11から搭乗者情報を受け取り、車外サーバ装置へ送信する。この搭乗者情報は、上記車外サーバ装置に格納された上で、自車両の搭乗者情報取得部11において車外ネットワーク情報として扱われるものである。 The own vehicle information output unit 13 receives the passenger information from the passenger information acquisition unit 11 and transmits it to the server device outside the vehicle. This passenger information is stored in the above-mentioned server device outside the vehicle, and is handled as vehicle network information by the passenger information acquisition unit 11 of the host vehicle.
 また、自車両情報出力部13は、走行状況情報取得部12から走行状況情報を受け取ると共に、運転モード出力部17から自車両の運転モードが手動運転モードか自動運転モードかを表す情報を受け取り、これらの情報を自車両情報として他車両又は車外サーバ装置へ送信する。この自車両情報は、他車両又は車外サーバ装置において車外ネットワーク情報として扱われるものである。 The host vehicle information output unit 13 receives the driving state information from the driving state information acquisition unit 12 and receives information indicating whether the driving mode of the host vehicle is the manual driving mode or the automatic driving mode from the driving mode output unit 17. These pieces of information are transmitted to the other vehicle or the server device outside the vehicle as own vehicle information. This own vehicle information is handled as outside network information in other vehicles or outside server devices.
 切替判定部14は、搭乗者情報取得部11から搭乗者情報を受け取ると共に、走行状況情報取得部12から走行状況情報を受け取る。また、切替判定部14は、自車両の運転モードが手動運転モードか自動運転モードかを表す情報を、後述する運転モード出力部17から受け取る。自車両の運転モードが自動運転モードである場合、切替判定部14は、走行状況情報を用いて、推奨因子ごとのレベルを算出する。また、切替判定部14は、搭乗者情報を用いて、自車両に搭乗している搭乗者ごとの手動運転の慣れ度合いを表す特性モデルを決定する。切替判定部14は、推奨因子ごとのレベルと、搭乗者ごとの特性モデルとを用いて、搭乗者ごとに自車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定し、判定結果を切替提案部15へ出力する。 The switching determination unit 14 receives the passenger information from the passenger information acquisition unit 11 and also receives the driving state information from the driving state information acquisition unit 12. In addition, the switching determination unit 14 receives information indicating whether the operation mode of the host vehicle is the manual operation mode or the automatic operation mode from the operation mode output unit 17 described later. When the driving mode of the host vehicle is the automatic driving mode, the switching determination unit 14 calculates a level for each recommended factor using the traveling state information. Moreover, the switching determination part 14 determines the characteristic model showing the familiarity degree of the manual driving | operation for every passenger who has boarded the own vehicle using passenger information. The switching determination unit 14 determines whether to switch the driving mode of the host vehicle from the automatic driving mode to the manual driving mode for each passenger using the level for each recommended factor and the characteristic model for each passenger. The determination result is output to the switching proposal unit 15.
 切替判定部14には、推奨因子として快適度、平易度、単純度、及び閑散度の4つが予め与えられている。なお、推奨因子の数及び種類は、上記4つに限定されるものではない。切替判定部14は、推奨因子ごとのレベルを、例えば0~100の範囲の値として算出する。推奨因子のレベルが高いほど手動運転しやすい走行状況であり、レベルが低いほど手動運転しにくい走行状況である。 The switching determination unit 14 is preliminarily provided with four factors of comfort, ease, simplicity, and quietness as recommended factors. Note that the number and types of recommended factors are not limited to the above four. The switching determination unit 14 calculates the level for each recommended factor, for example, as a value in the range of 0 to 100. The higher the level of the recommended factor, the easier it is to drive manually, and the lower the level, the more difficult it is to manually drive.
 快適度は、搭乗者が手動運転する上で、快適に走行できる度合いを表す。例えば、自車両が現在走行している道路の路面が平坦である、信号が少ない、交差点が少ない、景色が良い、見通しが良い、他車両の搭乗者による評価が高い、及び制限速度が大きい場合、快適度のレベルが高くなる。 Comfort level represents the degree to which a passenger can travel comfortably when driving manually. For example, when the road surface of the current vehicle is flat, there are few traffic lights, there are few intersections, the scenery is good, the view is good, the evaluation by other passengers is high, and the speed limit is large. The level of comfort is higher.
 平易度は、搭乗者が手動運転する上で、容易に走行できる度合いを表す。例えば、自車両が現在走行している道路が直線である、単一車線である、車線が広い、有料道路である、路上駐車が少ない、人通りが少ない、見通しが良い、及び高低差がない場合、平易度のレベルが高くなる。 平 The degree of simplicity represents the degree to which the passenger can easily drive when manually driving. For example, the road on which the vehicle is currently traveling is a straight line, a single lane, a wide lane, a toll road, few on-street parking, few traffic, good visibility, and no difference in elevation If so, the level of ease increases.
 単純度は、搭乗者が手動運転する上で、道に迷う可能性が少ない度合いを表す。例えば、自車両が現在走行している道路の交差点が少ない、分岐が少ない、及び車線が広い場合、単純度のレベルが高くなる。 ¡Simpleness represents the degree to which passengers are less likely to get lost when driving manually. For example, the level of simplicity increases when there are few intersections, few branches, and wide lanes on the road on which the vehicle is currently traveling.
 閑散度は、搭乗者が手動運転する上で、他車両等からの影響を受けない度合いを表す。例えば、自車両が現在走行している道路の他車両が少ない、自転車が少ない、歩行者が少ない、及び車線が多い場合、閑散度のレベルが高くなる。 The degree of quietness represents the degree to which passengers are not affected by other vehicles when driving manually. For example, when there are few vehicles other than the road on which the vehicle is currently traveling, there are few bicycles, there are few pedestrians, and there are many lanes, the level of quietness is high.
 切替判定部14には、特性モデルとして、手動運転の慣れ度合いが相対的に低い運転不慣れモデル、及び手動運転の慣れ度合いが相対的に高い運転慣れモデルの2つが予め与えられている。なお、特性モデルは、手動運転の慣れ度合いに応じて3つ以上あってもよい。 The switching determination unit 14 is preliminarily provided with two characteristic models, a driving unfamiliar model with a relatively low degree of manual driving habituation and a driving habituation model with a relatively high degree of manual driving habituation. Note that there may be three or more characteristic models depending on the familiarity with manual driving.
 運転不慣れモデルは、搭乗者が手動運転に慣れておらず、平易な道路では手動運転を積極的に行うことによって手動運転に慣れたいと要求する可能性が高い特性モデルである。
 運転慣れモデルは、搭乗者が手動運転に慣れており、快適に走行できる道路又は自動運転だと不快に感じる場合には手動運転を要求する可能性が高い特性モデルである。
The driving unfamiliar model is a characteristic model in which a passenger is not used to manual driving and is likely to request to get used to manual driving by actively performing manual driving on a plain road.
The driving habituation model is a characteristic model in which a passenger is accustomed to manual driving and is likely to require manual driving when he / she feels uncomfortable when driving comfortably on a road or in automatic driving.
 各特性モデルは、推奨因子ごとの閾値をもつ。切替判定部14は、ある搭乗者に対して決定した特性モデルの閾値を用いて、算出した推奨因子のレベルと上記特性モデルがもつ推奨因子の閾値とを比較する。切替判定部14は、比較結果が所定の条件を満たす場合、上記搭乗者に対して自動運転モードから手動運転モードへ切り替える旨を判定し、所定の条件を満たさない場合、上記搭乗者に対して自動運転モードを継続する旨を判定する。 Each characteristic model has a threshold for each recommended factor. The switching determination unit 14 compares the calculated recommended factor level with the recommended factor threshold of the characteristic model, using the threshold value of the characteristic model determined for a certain passenger. When the comparison result satisfies a predetermined condition, the switching determination unit 14 determines that the passenger switches from the automatic driving mode to the manual driving mode, and when the predetermined condition is not satisfied, It is determined that the automatic operation mode is continued.
 切替提案部15は、搭乗者ごとの判定結果を切替判定部14から受け取る。切替提案部15は、切替判定部14により自動運転モードから手動運転モードへの切り替えが判定された搭乗者に対して、切り替えを提案するための提案情報を生成する。切替提案部15は、生成した提案情報を出力装置1へ出力する。 The switching proposal unit 15 receives the determination result for each passenger from the switching determination unit 14. The switching proposal unit 15 generates proposal information for proposing switching to a passenger whose switching determination unit 14 has determined switching from the automatic driving mode to the manual driving mode. The switching proposal unit 15 outputs the generated proposal information to the output device 1.
 出力装置1は、ディスプレイ又はスピーカの少なくとも一方である。出力装置1は、切替提案部15から受け取った提案情報を画面表示又は音声出力することにより、切替判定部14により自動運転モードから手動運転モードへの切り替えが判定された搭乗者に対して自動運転モードから手動運転モードへの切り替えを提案する。また、出力装置1は、後述する操作情報取得部16から受け取った運転モード情報を画面表示又は音声出力することにより、搭乗者に対して、運転モードが自動運転モードから手動運転モードへ切り替わることを通知する。 The output device 1 is at least one of a display and a speaker. The output device 1 displays the proposal information received from the switching proposal unit 15 on the screen or outputs a voice, so that the switching determination unit 14 determines whether the automatic operation mode is switched to the manual operation mode. We propose switching from mode to manual operation mode. Further, the output device 1 indicates that the operation mode is switched from the automatic operation mode to the manual operation mode for the passenger by displaying the screen or voice output of the operation mode information received from the operation information acquisition unit 16 described later. Notice.
 入力装置2は、出力装置1のディスプレイと一体化されたタッチパネル、ボタン、リモートコントローラ、又は音声認識装置のうちの少なくとも1つである。切替判定部14により自動運転モードから手動運転モードへの切り替えが判定された搭乗者は、出力装置1の画面表示又は音声出力による切り替え提案を承認する場合、入力装置2に対して承認する操作を行う。入力装置2は、手動運転モードへの切り替え提案を承認する操作を受け付け、操作情報として操作情報取得部16へ出力する。 The input device 2 is at least one of a touch panel, a button, a remote controller, and a voice recognition device integrated with the display of the output device 1. The passenger who has been determined to switch from the automatic operation mode to the manual operation mode by the switching determination unit 14 performs an operation to approve the input device 2 when approving the screen display of the output device 1 or the switching suggestion by voice output. Do. The input device 2 accepts an operation for approving the switching proposal to the manual operation mode, and outputs the operation information to the operation information acquisition unit 16.
 操作情報取得部16は、自動運転モードから手動運転モードへの切り替え提案を承認する内容の操作情報を、入力装置2から受け取る。操作情報取得部16は、受け取った操作情報を運転モード出力部17へ出力する。また、操作情報取得部16は、受け取った操作情報に基づいて、自車両に搭乗している搭乗者のうち、少なくとも、手動運転モードへの切り替え提案を承認した搭乗者に対して、運転モードが自動運転モードから手動運転モードへ切り替わることを通知するための運転モード情報を生成する。操作情報取得部16は、生成した運転モード情報を出力装置1へ出力する。 The operation information acquisition unit 16 receives, from the input device 2, operation information with a content that approves a switching proposal from the automatic operation mode to the manual operation mode. The operation information acquisition unit 16 outputs the received operation information to the operation mode output unit 17. In addition, the operation information acquisition unit 16 determines, based on the received operation information, at least the passenger who has approved the proposal to switch to the manual operation mode among the passengers who are on the vehicle. Operation mode information for notifying switching from the automatic operation mode to the manual operation mode is generated. The operation information acquisition unit 16 outputs the generated operation mode information to the output device 1.
 運転モード出力部17は、自動運転モードから手動運転モードへの切り替え提案を承認する内容の操作情報を、操作情報取得部16から受け取る。運転モード出力部17は、運転モード制御装置3に対して、自動運転モードから手動運転モードへの切り替えを指示する。また、運転モード出力部17は、自車両の運転モードが手動運転モードか自動運転モードかを表す情報を、自車両情報出力部13及び切替判定部14へ出力する。 The operation mode output unit 17 receives operation information from the operation information acquisition unit 16 to approve the proposal for switching from the automatic operation mode to the manual operation mode. The operation mode output unit 17 instructs the operation mode control device 3 to switch from the automatic operation mode to the manual operation mode. The operation mode output unit 17 outputs information indicating whether the operation mode of the host vehicle is the manual operation mode or the automatic operation mode to the host vehicle information output unit 13 and the switching determination unit 14.
 運転モード制御装置3は、自動運転モードから手動運転モードへの切り替え指示を、運転モード出力部17から受け取る。運転モード制御装置3は、図示しないエンジンECU(Electronic Control Unit)及びステアリングECU等の自車両の走行を制御している各種の走行制御装置に対して、自動運転モードから手動運転モードへ切り替わったことを制御指示情報として出力する。結果、自車両の制御は、自動運転から手動運転に切り替わる。 The operation mode control device 3 receives from the operation mode output unit 17 an instruction to switch from the automatic operation mode to the manual operation mode. The driving mode control device 3 has switched from the automatic driving mode to the manual driving mode for various driving control devices that control the driving of the host vehicle such as an engine ECU (Electronic Control Unit) and a steering ECU (not shown). Is output as control instruction information. As a result, the control of the host vehicle is switched from automatic operation to manual operation.
 次に、実施の形態1に係る運転支援装置10の動作を説明する。
 図2は、実施の形態1に係る運転支援装置10の動作例を示すフローチャートである。実施の形態1に係る運転支援装置10は、起動中、図2のフローチャートに示される動作を繰り返す。以下では、図4及び図5を参照して運転支援装置10の動作例を説明する。
Next, the operation of the driving support apparatus 10 according to Embodiment 1 will be described.
FIG. 2 is a flowchart illustrating an operation example of the driving support device 10 according to the first embodiment. The driving support apparatus 10 according to the first embodiment repeats the operation shown in the flowchart of FIG. 2 during startup. Below, the operation example of the driving assistance device 10 is demonstrated with reference to FIG.4 and FIG.5.
 ステップST1において、搭乗者情報取得部11は、自車両に搭乗している搭乗者ごとの搭乗者情報を取得し、切替判定部14へ出力する。 In step ST1, the occupant information acquisition unit 11 acquires occupant information for each occupant on the own vehicle and outputs the occupant information to the switching determination unit 14.
 図4は、自車両に搭乗している搭乗者20及び搭乗者21の搭乗者情報の例を示す図である。例えば、搭乗者情報取得部11は、車内に設置されたカメラで撮像された画像等を用いて搭乗者20,21を認識し、認識した搭乗者20,21に対応するID-20,ID-21の搭乗者情報を車外サーバ装置等から取得する。図4の例では、搭乗者情報は、ID、年齢、性別、過去3年の走行距離、事故歴、及び違反歴を含む。この走行距離は、手動運転時の走行距離、即ち「手動運転距離」である。 FIG. 4 is a diagram showing an example of passenger information of the passenger 20 and the passenger 21 who are boarding the host vehicle. For example, the occupant information acquisition unit 11 recognizes the occupants 20 and 21 using an image captured by a camera installed in the vehicle, and the ID-20 and ID- corresponding to the recognized occupants 20 and 21 are recognized. 21 passenger information is acquired from a server device outside the vehicle. In the example of FIG. 4, the passenger information includes ID, age, sex, mileage in the past three years, accident history, and violation history. This travel distance is a travel distance during manual operation, that is, a “manual operation distance”.
 ステップST2において、走行状況情報取得部12は、自車両の走行状況情報を取得し、切替判定部14へ出力する。 In step ST2, the traveling state information acquisition unit 12 acquires the traveling state information of the host vehicle and outputs it to the switching determination unit 14.
 ステップST3において、切替判定部14は、自車両の現在の運転モードが自動運転モードである場合(ステップST3“YES”)、ステップST4へ進み、手動運転モードである場合(ステップST3“NO”)、図2のフローチャートに示される動作を終了する。 In step ST3, the switching determination unit 14 proceeds to step ST4 when the current operation mode of the host vehicle is the automatic operation mode (step ST3 “YES”), and when the current operation mode is the manual operation mode (step ST3 “NO”). Then, the operation shown in the flowchart of FIG.
 ステップST4において、切替判定部14は、搭乗者ごとに、自動運転モードから手動運転モードへ切り替えるか否かを判定する。 In step ST4, the switching determination unit 14 determines whether to switch from the automatic operation mode to the manual operation mode for each passenger.
 図3は、実施の形態1における切替判定部14の動作例を示すフローチャートであり、図2のステップST4に相当する。 FIG. 3 is a flowchart illustrating an operation example of the switching determination unit 14 in the first embodiment, and corresponds to step ST4 in FIG.
 図3のステップST11において、切替判定部14は、ステップST2で取得された走行状況情報に基づいて、快適度、平易度、単純度、及び閑散度のレベルを算出する。
 ここでは、切替判定部14が、以下の(1)~(4)に例示される算出方法により、現時点の快適度のレベルを75%、平易度のレベルを90%、単純度のレベルを70%、及び閑散度のレベルを90%と算出したものとする。
In step ST11 of FIG. 3, the switching determination unit 14 calculates the levels of comfort level, simplicity level, simplicity level, and quietness level based on the traveling state information acquired in step ST2.
Here, the switching determination unit 14 uses the calculation methods exemplified in the following (1) to (4) to set the current comfort level to 75%, the ease level to 90%, and the simplicity level to 70. % And the level of quietness are calculated as 90%.
(1)快適度
・現在の時刻が10時から15時の間であるため、10%加算
・天候が快晴であるため、10%加算
・自車両の前方5kmまでの間の車線が広いため、10%加算
・自車両の前方5kmまでの間の車線が複数存在するため、10%加算
・走行中の道路に対する他車両の搭乗者による評価が高いため、5%加算
・制限速度が50km/h以上であるため、10%加算
・自車両の前方5km以内の交差点が5か所以下であるため、10%加算
・自車両の前方5km以内の踏切が5か所以下であるため、10%加算
 よって、快適度のレベルは合計75%となる。
(1) Comfort level ・ Because the current time is between 10:00 and 15:00, 10% is added. ・ The weather is clear. 10% is added. ・ Because the lane up to 5km ahead is wide, 10%. Addition ・ Because there are multiple lanes up to 5km ahead of own vehicle, 10% addition ・ Evaluation by passengers of other vehicles on the road that is running is high, so 5% addition ・ Limited speed is 50 km / h or more Therefore, 10% addition ・ Because there are 5 or less intersections within 5km ahead of the own vehicle, 10% addition ・ 10% addition because there are 5 or less crossings within 5km ahead of the own vehicle The total comfort level is 75%.
(2)平易度
・自車両の前方50kmまでの間有料道路であるため、50%加算
・自車両の前方50km以内にジャンクションがないため、30%加算
・自車両の前方50km以内に勾配3%以上の上り又は下りがないため、10%加算
 よって、平易度のレベルは合計90%となる。
(2) Easiness ・ Because it is a toll road up to 50km ahead of the vehicle, 50% is added ・ There is no junction within 50km in front of the vehicle, so 30% is added ・ Gradient is 3% within 50km ahead of the vehicle Since there is no more ups or downs, adding 10% gives a total level of simplicity of 90%.
(3)単純度
・自車両の前方50km以内の道路の分岐数が全国平均のN%であるため、(100-N)%加算(ここでは、N=30と仮定し、70%加算)
 よって、単純度のレベルは合計70%となる。
(3) Simplicity ・ Because the number of road branches within 50km ahead of the vehicle is N% of the national average, add (100-N)% (here, assuming N = 30, add 70%)
Therefore, the level of simplicity is 70% in total.
(4)閑散度
・自車両の前後25km以内の他車両数が10台以下であるため、40%加算
・自車両の前後25km以外の他車両のうち、自動運転モードの他車両の割合が75%以以上であるため、20%加算
・走行中の道路が自動車専用道路であるため、30%加算
 よって、閑散度のレベルは合計90%となる。
(4) Since the number of other vehicles within 25 km before and after the own vehicle is 10 or less, the percentage of other vehicles in the automatic driving mode is 75 out of the other vehicles other than 25 km before and after the own vehicle. More than 20%, 20% is added and the road underway is an automobile-only road, so adding 30% adds up to 90% quietness.
 ステップST12において、切替判定部14は、ステップST1で取得された搭乗者情報に基づいて、搭乗者ごとの特性モデルを決定する。例えば、切替判定部14は、「走行距離が100km以下である」、「走行距離が300km以下かつ過去1年以内に事故歴あり」、又は「過去1年以内に事故3回以上」のどれかに該当すれば運転不慣れモデルを決定し、それ以外の場合に運転慣れモデルを決定する。上述したように、走行距離は「手動運転距離」である。図4の例では、切替判定部14は、搭乗者20に対して運転慣れモデルを決定し、搭乗者21に対して運転不慣れモデルを決定する。 In step ST12, the switching determination unit 14 determines a characteristic model for each passenger based on the passenger information acquired in step ST1. For example, the switching determination unit 14 may select one of “travel distance is 100 km or less”, “travel distance is 300 km or less and there is an accident history within the past year”, or “3 or more accidents within the past year”. If this is true, the driving unfamiliar model is determined, and in other cases, the driving unfamiliar model is determined. As described above, the travel distance is a “manual driving distance”. In the example of FIG. 4, the switching determination unit 14 determines a driving familiar model for the passenger 20 and determines a driving unfamiliar model for the passenger 21.
 図5は、搭乗者20の運転慣れモデルは、快適度の閾値80%、平易度の閾値40%、単純度の閾値40%、及び閑散度の閾値60%を定義している。また、搭乗者21の運転不慣れモデルは、快適度の閾値60%、平易度の閾値80%、単純度の閾値60%、及び閑散度の閾値85%を定義している。 FIG. 5 shows that the driving familiarity model of the passenger 20 defines a comfort threshold of 80%, a simplicity threshold of 40%, a simplicity threshold of 40%, and a quietness threshold of 60%. In addition, the unfamiliar driving model of the passenger 21 defines a comfort threshold 60%, a plainness threshold 80%, a simplicity threshold 60%, and a quietness threshold 85%.
 ステップST13において、切替判定部14は、搭乗者ごとに、推奨因子のレベルと閾値とを比較する。この例では、切替判定部14は、快適度、平易度、単純度、及び閑散度のレベル全てが閾値以上である場合(ステップST13“YES”)、ステップST14へ進み、それ以外の場合(ステップST13“NO”)、ステップST15へ進む。
 なお、図3の例では、手動運転モードに切り替える条件として、快適度、平易度、単純度、及び閑散度のレベル全てが閾値以上である場合が設定されているが、条件はこれに限定されるものではない。
In step ST13, the switching determination unit 14 compares the level of the recommended factor with a threshold value for each passenger. In this example, the switching determination unit 14 proceeds to step ST14 when all the levels of comfort, ease, simplicity, and quietness are equal to or greater than the threshold (step ST13 “YES”), and otherwise (steps) ST13 “NO”), the process proceeds to step ST15.
In the example of FIG. 3, as a condition for switching to the manual operation mode, the case where the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold value is set, but the condition is limited to this. It is not something.
 ステップST14において、切替判定部14は、ステップST13の条件を満たす搭乗者について自車両の運転モードを自動運転モードから手動運転モードへ切り替えると判定する。 In step ST14, the switching determination unit 14 determines that the driving mode of the host vehicle is switched from the automatic driving mode to the manual driving mode for the passenger who satisfies the condition of step ST13.
 ステップST15において、切替判定部14は、ステップST13の条件を満たさない搭乗者について自車両の運転モードを自動運転モードから手動運転モードへ切り替えず、自動運転モードを継続すると判定する。 In step ST15, the switching determination unit 14 determines that the passenger does not satisfy the condition of step ST13 and continues the automatic driving mode without switching the driving mode of the host vehicle from the automatic driving mode to the manual driving mode.
 図2のステップST4において、切替判定部14は、図3のステップST14にてある搭乗者について手動運転モードへの切り替えを判定した場合(ステップST4“YES”)、判定結果を切替提案部15へ出力してステップST5へ進む。一方、切替判定部14は、図3のステップST15にてある搭乗者について自動運転モード継続を判定した場合(ステップST4“NO”)、図2のフローチャートに示される動作を終了する。 In step ST4 in FIG. 2, when the switching determination unit 14 determines switching to the manual operation mode for the passenger in step ST14 in FIG. 3 (step ST4 “YES”), the determination result is sent to the switching proposal unit 15. Output to step ST5. On the other hand, when the switching determination unit 14 determines the continuation of the automatic driving mode for the passenger at step ST15 in FIG. 3 (step ST4 “NO”), the operation illustrated in the flowchart in FIG.
 ステップST5において、切替提案部15は、手動運転モードへの切り替え提案を、出力装置1から該当する搭乗者へ出力させる。出力装置1は、例えば「運転しやすい状況です。手動運転にしますか」というメッセージの画面表示又は音声出力を行う。 In step ST5, the switching proposal unit 15 causes the output device 1 to output the switching proposal to the manual operation mode to the corresponding passenger. For example, the output device 1 performs a screen display or a voice output of a message “It is easy to drive.
 ステップST6において、操作情報取得部16は、入力装置2を介して、該当する搭乗者による手動運転モードへの切り替え提案を承認する内容の操作情報を取得した場合(ステップST6“YES”)、ステップST7へ進み、それ以外の場合(ステップST6“NO”)、図2のフローチャートに示される動作を終了する。 In step ST6, the operation information acquisition part 16 acquires the operation information of the content which approves the switch proposal to the manual driving mode by the applicable passenger via the input device 2 (step ST6 "YES"), step. The process proceeds to ST7, and otherwise (step ST6 “NO”), the operation shown in the flowchart of FIG. 2 is terminated.
 ステップST7において、運転モード出力部17は、運転モード制御装置3に対して、自動運転モードから手動運転モードへの切り替えを指示し、手動運転モードへの切り替えを実行させる。また、操作情報取得部16は、運転モードが自動運転モードから手動運転モードへ切り替わることの通知を、出力装置1から該当する搭乗者へ出力させる。 In step ST7, the operation mode output unit 17 instructs the operation mode control device 3 to switch from the automatic operation mode to the manual operation mode, and executes the switch to the manual operation mode. In addition, the operation information acquisition unit 16 outputs a notification that the operation mode is switched from the automatic operation mode to the manual operation mode from the output device 1 to the corresponding passenger.
 図5の例では、切替判定部14は、手動運転に慣れていない搭乗者21について、快適度、平易度、単純度、及び閑散度のレベル全てが閾値以上であるため、手動運転モードへ切り替える旨を判定し、切替提案部15が手動運転モードへの切り替えを提案する。手動運転に慣れていない搭乗者21が、手動運転モードへの切り替え提案を承認した場合、運転モード出力部17は、運転モード制御装置3に対して手動運転モードへの切り替えを指示する。これにより、手動運転に慣れていない搭乗者21に対して、手動運転しやすいと推定される状況において、手動運転モードへの切り替えを提案することができる。また、手動運転に慣れていない搭乗者21に対して、手動運転しやすいと推定される状況において、手動運転の練習を推奨することができる。 In the example of FIG. 5, the switching determination unit 14 switches the manual operation mode to the passenger 21 who is not used to manual driving because the levels of comfort, ease, simplicity, and quietness are all equal to or higher than the threshold. The switching proposal unit 15 proposes switching to the manual operation mode. When the passenger 21 who is not used to manual driving approves the switching proposal to the manual driving mode, the driving mode output unit 17 instructs the driving mode control device 3 to switch to the manual driving mode. Accordingly, it is possible to propose switching to the manual operation mode for a passenger 21 who is not used to manual driving in a situation where it is estimated that manual driving is easy. In addition, it is possible to recommend manual driving practice to a passenger 21 who is not used to manual driving in a situation where it is estimated that manual driving is easy.
 一方、切替判定部14は、手動運転に慣れている搭乗者20について、快適度のレベルが閾値未満であるため、手動運転モードに切り替えず自動運転モードを継続する旨を判定する。この判定結果は、搭乗者20が手動運転に慣れており練習を推奨する必要性が低いことが判定されている。 On the other hand, for the passenger 20 who is used to manual driving, the switching determination unit 14 determines that the automatic driving mode is continued without switching to the manual driving mode because the comfort level is less than the threshold. From this determination result, it is determined that the passenger 20 is used to manual driving and the necessity of recommending practice is low.
 なお、切替判定部14は、自動運転モードから手動運転モードへの切り替え判定に加え、手動運転モードから自動運転モードへの切り替え判定を行ってもよい。例えば、切替判定部14は、4つの推奨因子のうちの少なくとも1つの推奨因子のレベルが閾値未満となった場合、手動運転モードから自動運転モードへ切り替える旨を判定する。切替提案部15は、搭乗者に対して、手動運転モードから自動運転モードへの切り替えを提案する。 Note that the switching determination unit 14 may perform switching determination from the manual operation mode to the automatic operation mode in addition to the switching determination from the automatic operation mode to the manual operation mode. For example, the switching determination unit 14 determines to switch from the manual operation mode to the automatic operation mode when the level of at least one of the four recommended factors is less than the threshold value. The switching proposal unit 15 proposes switching from the manual operation mode to the automatic operation mode to the passenger.
 また、運転支援装置10において搭乗者情報取得部11、走行状況情報取得部12、及び切替判定部14は必須の構成であるが、自車両情報出力部13、切替提案部15、操作情報取得部16、及び運転モード出力部17は必須の構成ではない。即ち、運転支援装置10は、少なくとも、搭乗者の手動運転の慣れ度合いを考慮して自動運転モードから手動運転モードへの切り替えを判定できればよく、その判定結果を運転支援装置10から他の車載装置へ出力して当該他の車載装置において利用可能にしてもよい。 Further, in the driving support device 10, the passenger information acquisition unit 11, the traveling state information acquisition unit 12, and the switching determination unit 14 are essential components, but the own vehicle information output unit 13, the switching proposal unit 15, the operation information acquisition unit. 16 and the operation mode output unit 17 are not essential components. That is, the driving support device 10 only needs to be able to determine switching from the automatic driving mode to the manual driving mode in consideration of at least the degree of familiarity with the manual driving of the passenger, and the determination result is transferred from the driving support device 10 to another in-vehicle device. May be made available to other in-vehicle devices.
 以上のように、実施の形態1に係る運転支援装置10は、搭乗者情報取得部11、走行状況情報取得部12、及び切替判定部14を備える。搭乗者情報取得部11は、車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を、少なくとも含む、搭乗者情報を取得する。走行状況情報取得部12は、車両の走行状況を表す走行状況情報を取得する。切替判定部14は、搭乗者情報取得部11により取得された搭乗者情報及び走行状況情報取得部12により取得された走行状況情報に基づいて、車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定する。これにより、運転支援装置10は、搭乗者の手動運転の慣れ度合いを考慮して、自動運転から手動運転への切り替えを判定することができる。 As described above, the driving support device 10 according to the first embodiment includes the passenger information acquisition unit 11, the traveling state information acquisition unit 12, and the switching determination unit 14. The occupant information acquisition unit 11 acquires occupant information including at least information indicating the degree of habituation of manual driving of the occupant on the vehicle. The traveling state information acquisition unit 12 acquires traveling state information representing the traveling state of the vehicle. The switching determination unit 14 changes the driving mode of the vehicle from the automatic driving mode to the manual driving mode based on the passenger information acquired by the passenger information acquiring unit 11 and the driving status information acquired by the driving status information acquiring unit 12. It is determined whether or not to switch. Thereby, the driving assistance device 10 can determine the switching from the automatic driving to the manual driving in consideration of the passenger's familiarity with the manual driving.
 また、実施の形態1に係る運転支援装置10は、切替提案部15、操作情報取得部16、及び運転モード出力部17を備える。切替提案部15は、切替判定部14により自動運転モードから手動運転モードへ切り替えることが判定された場合、搭乗者に対する手動運転モードへの切り替えを提案する。操作情報取得部16は、切替提案部15による手動運転モードへの切り替え提案を承認する内容の操作情報を取得する。運転モード出力部17は、操作情報取得部16により操作情報が取得された場合、車両に搭載されている運転モード制御装置3に対して自動運転モードから手動運転モードへの切り替えを指示する。これにより、運転支援装置10は、搭乗者自身に自動運転モードから手動運転モードへの切り替えを判断させることができる。また、運転支援装置10は、手動運転しやすい走行状況において、手動運転に不慣れな搭乗者に対して手動運転モードへの切り替えを提案することにより、手動運転の練習を推奨することができる。 Further, the driving support apparatus 10 according to the first embodiment includes a switching suggestion unit 15, an operation information acquisition unit 16, and an operation mode output unit 17. When the switching determination unit 14 determines that the automatic operation mode is switched to the manual operation mode, the switching proposal unit 15 proposes switching to the manual operation mode for the passenger. The operation information acquisition unit 16 acquires operation information with contents for approving the switching proposal to the manual operation mode by the switching proposal unit 15. When the operation information is acquired by the operation information acquisition unit 16, the operation mode output unit 17 instructs the operation mode control device 3 mounted on the vehicle to switch from the automatic operation mode to the manual operation mode. Thereby, the driving assistance device 10 can make the passenger himself / herself determine the switching from the automatic driving mode to the manual driving mode. In addition, the driving assistance device 10 can recommend manual driving practice by proposing switching to the manual driving mode for a passenger who is unfamiliar with manual driving in a driving situation where manual driving is easy.
 また、実施の形態1における搭乗者の手動運転の慣れ度合いを表す情報は、予め定められた期間における搭乗者の手動運転距離、手動運転時間、又は手動運転回数のうちの少なくとも1つである。これにより、運転支援装置10は、過去3年間等の直近の運転歴に基づく手動運転の慣れ度合いを考慮して、自動運転モードから手動運転モードへ切り替えるか否かを精度よく判定することができる。 Further, the information representing the degree of habituation of the passenger's manual driving in Embodiment 1 is at least one of the passenger's manual driving distance, manual driving time, or manual driving frequency in a predetermined period. Thereby, the driving assistance device 10 can accurately determine whether or not to switch from the automatic driving mode to the manual driving mode in consideration of the familiarity of manual driving based on the latest driving history such as the past three years. .
 また、実施の形態1における走行状況情報は、車両の周辺を走行している他車両の数、又は他車両が実行中の運転モードの少なくとも一方である。また、走行状況情報は、車両の周辺の地形、天候、又は走行中の道路に関する情報のうちの少なくとも1つである。これにより、運転支援装置10は、手動運転しやすい走行状況であるか否かを精度よく判定することができる。 In addition, the traveling state information in the first embodiment is at least one of the number of other vehicles that are traveling around the vehicle or the operation mode in which the other vehicle is being executed. Further, the traveling status information is at least one of information on the terrain around the vehicle, the weather, or the road on which the vehicle is traveling. As a result, the driving support device 10 can accurately determine whether or not the driving situation is easy for manual driving.
 また、実施の形態1における搭乗者情報は、搭乗者の年齢、性別、事故歴、又は違反歴のうちの少なくとも1つである。これにより、運転支援装置10は、事故歴又は違反歴等に基づく手動運転の慣れ度合いを考慮して、自動運転モードから手動運転モードへ切り替えるか否かを精度よく判定することができる。 Further, the passenger information in the first embodiment is at least one of the age, sex, accident history, or violation history of the passenger. Thereby, the driving assistance device 10 can accurately determine whether or not to switch from the automatic driving mode to the manual driving mode in consideration of the familiarity of manual driving based on the accident history or the violation history.
実施の形態2.
 実施の形態1の運転支援装置10により手動運転モードに切り替えず自動運転モードを継続する旨が判定された場合でも、搭乗者が現状の自動運転制御に対して不満又は不快を感じ、手動運転を行いたいと思う可能性がある。そこで、実施の形態2に係る運転支援装置10は、自動運転モードから手動運転モードに切り替えるか否かの判定において、搭乗者の自動運転に対する不満度を考慮する。
Embodiment 2. FIG.
Even when the driving support device 10 of the first embodiment determines that the automatic driving mode is to be continued without switching to the manual driving mode, the passenger feels dissatisfied or uncomfortable with the current automatic driving control and performs the manual driving. You may want to do it. Therefore, the driving assistance apparatus 10 according to the second embodiment considers the degree of dissatisfaction with the passenger's automatic driving when determining whether to switch from the automatic driving mode to the manual driving mode.
 実施の形態2に係る運転支援システムの構成は、実施の形態1の図1に示された構成と図面上は同一であるため、以下では図1を援用する。
 上述した不満度は、搭乗者の自動運転モードに対する不満の度合いを表す。例えば、搭乗者の表情がネガティブである、姿勢が変化していない、ストレスが大きい、及び車体の振動が大きい場合、不満度のレベルが高くなる。
Since the configuration of the driving support system according to the second embodiment is the same as the configuration shown in FIG. 1 of the first embodiment in the drawing, FIG. 1 is used below.
The degree of dissatisfaction described above represents the degree of dissatisfaction with the passenger's automatic driving mode. For example, when the passenger's facial expression is negative, the posture is not changed, the stress is large, and the vibration of the vehicle body is large, the level of dissatisfaction is high.
 なお、快適度、平易度、単純度、及び閑散度等の推奨因子のレベルは、自車両に搭乗している全ての搭乗者に共通していたが、不満度のレベルは、搭乗者ごとに算出される。
 また、実施の形態2では、快適度、平易度、単純度、及び閑散度に比べて不満度が優先的に扱われるものとする。即ち、切替判定部14は、ある搭乗者の特性モデルにおいて、不満度のレベルが閾値以上である場合、快適度、平易度、単純度、及び閑散度のレベルに関係なく、自動運転モードから手動運転モードに切り替えると判定する。
The level of recommended factors such as comfort, simplicity, simplicity, and quietness was common to all passengers on the vehicle, but the level of dissatisfaction was different for each passenger. Calculated.
In the second embodiment, it is assumed that the degree of dissatisfaction is treated preferentially over the comfort level, the ease level, the simplicity level, and the quietness level. That is, in the characteristic model of a certain occupant, the switching determination unit 14 is manually operated from the automatic operation mode regardless of the level of comfort, ease, simplicity, and quietness when the level of dissatisfaction is equal to or greater than the threshold. Determine to switch to operation mode.
 図6は、実施の形態2における切替判定部14の動作例を示すフローチャートであり、図2のフローチャートにおけるステップST4に相当する。以下では、図2、図4及び図7を参照して運転支援装置10の動作例を説明する。また、図6のフローチャートに示される動作のうち、実施の形態1の図3のフローチャートに示される動作とは異なる動作を中心に説明する。 FIG. 6 is a flowchart illustrating an operation example of the switching determination unit 14 according to the second embodiment, and corresponds to step ST4 in the flowchart of FIG. Below, the operation example of the driving assistance device 10 is demonstrated with reference to FIG.2, FIG4 and FIG.7. Further, the operation shown in the flowchart of FIG. 6 will be described focusing on the operation different from the operation shown in the flowchart of FIG. 3 of the first embodiment.
 ステップST11aにおいて、切替判定部14は、ステップST1で取得された搭乗者情報及びステップST2で取得された走行状況情報に基づいて、快適度、平易度、単純度、閑散度、及び不満度のレベルを算出する。
 ここでは、切替判定部14が、実施の形態1と同様に、現時点の快適度のレベルを75%、平易度のレベルを90%、単純度のレベルを70%、及び閑散度のレベルを90%と算出したものとする。また、切替判定部14が、以下の(5)に例示される算出方法により、現時点の搭乗者20の不満度のレベルを80%と算出したものとする。また、詳細な説明は省略するが、切替判定部14は、現時点の搭乗者21の不満度のレベルを50%と算出したものとする。図4に示されたように、搭乗者20は手動運転に慣れている搭乗者であり、搭乗者21は手動運転に慣れていない搭乗者である。
In step ST11a, the switching determination unit 14 determines the level of comfort, ease, simplicity, quietness, and dissatisfaction level based on the passenger information acquired in step ST1 and the driving situation information acquired in step ST2. Is calculated.
Here, as in the first embodiment, the switching determination unit 14 sets the current comfort level to 75%, the ease level to 90%, the simplicity level to 70%, and the quietness level to 90%. % Calculated. In addition, it is assumed that the switching determination unit 14 calculates the dissatisfaction level of the current passenger 20 as 80% by the calculation method illustrated in (5) below. Although detailed explanation is omitted, it is assumed that the switching determination unit 14 calculates the current level of dissatisfaction of the passenger 21 as 50%. As shown in FIG. 4, the passenger 20 is a passenger who is used to manual driving, and the passenger 21 is a passenger who is not used to manual driving.
(5)不満度
・搭乗者20の表情がポジティブではなくネガティブと判定されたため、30%加算
・搭乗者20の姿勢が1時間以上変化していないため、20%加算
・自車両が路面から受ける振動が過去の平均振動よりも20%以上大きいため、10%加算
・搭乗者20の心拍数、血圧又は呼吸頻度等の生体情報に基づくストレスが検出されたため、20%加算
 よって、搭乗者20の不満度のレベルは合計80%となる。
(5) Dissatisfaction • Passenger 20's facial expression is not positive but negative, so 30% addition • Passenger 20's posture has not changed for more than 1 hour, so 20% addition • Own vehicle receives from the road surface Since vibration is 20% or more larger than the past average vibration, 10% addition ・ Stress based on biological information such as heart rate, blood pressure, or respiratory frequency of passenger 20 is detected. The total dissatisfaction level is 80%.
 図7は、運転慣れモデル及び運転不慣れモデルがもつ、各推奨因子のレベルの閾値の例を示す図である。搭乗者20の運転慣れモデルは、快適度の閾値80%、平易度の閾値40%、単純度の閾値40%、閑散度の閾値60%、及び不満度の閾値40%を定義している。また、搭乗者21の運転不慣れモデルは、快適度の閾値60%、平易度の閾値80%、単純度の閾値60%、閑散度の閾値85%、及び不満度の閾値60%を定義している。 FIG. 7 is a diagram showing an example of threshold values of levels of recommended factors possessed by the driving familiar model and the driving unfamiliar model. The driving familiarity model of the passenger 20 defines a comfort level threshold value of 80%, an easiness level threshold value of 40%, a simplicity level threshold value of 40%, a quietness level threshold value of 60%, and a dissatisfaction level threshold value of 40%. In addition, the unfamiliar driving model of the passenger 21 defines a comfort threshold 60%, a simplicity threshold 80%, a simplicity threshold 60%, a quietness threshold 85%, and a dissatisfaction threshold 60%. Yes.
 ステップST21において、切替判定部14は、搭乗者ごとに、搭乗者の不満度のレベルと閾値とを比較する。切替判定部14は、不満度のレベルが閾値以上である搭乗者について(ステップST21 “YES”)、ステップST14へ進み、不満度のレベルが閾値未満である搭乗者について(ステップST21“NO”)、ステップST13aへ進む。 In step ST21, the switching determination unit 14 compares the level of the degree of dissatisfaction of the passenger with a threshold value for each passenger. The switching determination unit 14 proceeds to step ST14 for passengers whose dissatisfaction level is greater than or equal to the threshold (step ST21 “YES”), and for passengers whose dissatisfaction level is less than the threshold (step ST21 “NO”). The process proceeds to step ST13a.
 ステップST13aにおいて、切替判定部14は、搭乗者ごとに、搭乗者の不満度以外の推奨因子のレベルと閾値とを比較する。切替判定部14は、快適度、平易度、単純度、及び閑散度のレベル全てが閾値以上である場合(ステップST13a“YES”)、ステップST14へ進み、それ以外の場合(ステップST13a“NO”)、ステップST15へ進む。 In step ST13a, the switching determination unit 14 compares the level of the recommended factor other than the degree of dissatisfaction with the threshold for each passenger. The switching determination unit 14 proceeds to step ST14 when the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold (step ST13a “YES”), and otherwise (step ST13a “NO”). ), Go to step ST15.
 実施の形態1の図5の例では、切替判定部14は、手動運転に慣れている搭乗者20について、手動運転モードに切り替えず自動運転モードを継続する旨を判定した。一方、実施の形態2の図7の例では、手動運転に慣れている搭乗者20の不満度のレベル80%は閾値40%を超えているため、切替判定部14は、自動運転モードを継続せず手動運転モードへ切り替える旨を判定する。 In the example of FIG. 5 of the first embodiment, the switching determination unit 14 determines that the passenger 20 who is used to manual driving will continue the automatic driving mode without switching to the manual driving mode. On the other hand, in the example of FIG. 7 of the second embodiment, since the level of dissatisfaction 80% of the passenger 20 who is used to manual driving exceeds the threshold 40%, the switching determination unit 14 continues the automatic driving mode. Without determining whether to switch to manual operation mode.
 一方、手動運転に慣れていない搭乗者21の不満度のレベル50%は閾値60%を超えていないため、切替判定部14は、快適度、平易度、単純度、及び閑散度のレベルを閾値と比較する。切替判定部14は、手動運転に慣れていない搭乗者21について、快適度、平易度、単純度、及び閑散度のレベル全てが閾値以上であるため、手動運転モードへ切り替える旨を判定する。 On the other hand, since the dissatisfaction level 50% of the passenger 21 who is not accustomed to manual driving does not exceed the threshold value 60%, the switching determination unit 14 sets the comfort level, the simplicity level, the simplicity level, and the quiet level as threshold values. Compare with The switching determination unit 14 determines that the passenger 21 who is not used to manual driving is switched to the manual driving mode because the comfort level, the ease level, the simplicity level, and the quiet level are all equal to or higher than the threshold value.
 以上のように、実施の形態2の切替判定部14は、自動運転モード実行中の生体情報に基づいて搭乗者の自動運転モードに対する不満度を求め、不満度が閾値以上である場合に自動運転モードから手動運転モードへ切り替えることを判定する。生体情報は、搭乗者の表情、血圧、姿勢、脈拍、又は呼吸頻度のうちの少なくとも1つである。これにより、運転支援装置10は、搭乗者の自動運転に対する不満度を考慮して、自動運転モードから手動運転モードへの切り替えを判定することができる。よって、搭乗者が現状の自動運転制御に対して不満又は不快を感じ、手動運転を行いたいと思っている場合に、手動運転モードへの切り替えを提案することが可能となる。 As described above, the switching determination unit 14 according to the second embodiment obtains the degree of dissatisfaction with respect to the automatic driving mode of the passenger based on the biological information during execution of the automatic driving mode, and performs automatic driving when the degree of dissatisfaction is equal to or greater than a threshold value. It is determined to switch from the mode to the manual operation mode. The biometric information is at least one of a passenger's facial expression, blood pressure, posture, pulse, or respiratory frequency. Thereby, the driving assistance device 10 can determine the switching from the automatic driving mode to the manual driving mode in consideration of the degree of dissatisfaction with the passenger's automatic driving. Therefore, when the passenger feels dissatisfied or uncomfortable with the current automatic driving control and wants to perform manual driving, it is possible to propose switching to the manual driving mode.
 最後に、各実施の形態に係る運転支援システムのハードウェア構成を説明する。
 図8A及び図8Bは、各実施の形態に係る運転支援システムのハードウェア構成例を示す図である。運転支援装置10における搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17の機能は、処理回路により実現される。即ち、運転支援装置10は、上記機能を実現するための処理回路を備える。処理回路は、専用のハードウェアとしての処理回路100であってもよいし、メモリ102に格納されるプログラムを実行するプロセッサ101であってもよい。
Finally, the hardware configuration of the driving support system according to each embodiment will be described.
8A and 8B are diagrams illustrating a hardware configuration example of the driving support system according to each embodiment. Functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 in the driving support device 10. Is realized by a processing circuit. That is, the driving support device 10 includes a processing circuit for realizing the above functions. The processing circuit may be the processing circuit 100 as dedicated hardware, or may be the processor 101 that executes a program stored in the memory 102.
 図8Aに示されるように、処理回路が専用のハードウェアである場合、処理回路100は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ASIC(Application Specific Integrated Circuit)、FPGA(Field Programmable Gate Array)、又はこれらを組み合わせたものが該当する。搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17の機能を複数の処理回路100で実現してもよいし、各部の機能をまとめて1つの処理回路100で実現してもよい。 As shown in FIG. 8A, when the processing circuit is dedicated hardware, the processing circuit 100 includes, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit). ), FPGA (Field Programmable Gate Array), or a combination thereof. The functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 are a plurality of processing circuits. 100 may be implemented, or the functions of the respective units may be implemented together by a single processing circuit 100.
 図8Bに示されるように、処理回路がプロセッサ101である場合、搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17の機能は、ソフトウェア、ファームウェア、又はソフトウェアとファームウェアとの組み合わせにより実現される。ソフトウェア又はファームウェアはプログラムとして記述され、メモリ102に格納される。プロセッサ101は、メモリ102に格納されたプログラムを読みだして実行することにより、各部の機能を実現する。即ち、運転支援装置10は、プロセッサ101により実行されるときに、図2等のフローチャートで示されるステップが結果的に実行されることになるプログラムを格納するためのメモリ102を備える。また、このプログラムは、搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17の手順又は方法をコンピュータに実行させるものであるとも言える。 As shown in FIG. 8B, when the processing circuit is the processor 101, the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information The functions of the acquisition unit 16 and the operation mode output unit 17 are realized by software, firmware, or a combination of software and firmware. Software or firmware is described as a program and stored in the memory 102. The processor 101 reads out and executes a program stored in the memory 102, thereby realizing the function of each unit. In other words, the driving support device 10 includes a memory 102 for storing a program that, when executed by the processor 101, results in the steps shown in the flowchart of FIG. In addition, this program includes a passenger information acquisition unit 11, a traveling state information acquisition unit 12, a host vehicle information output unit 13, a switching determination unit 14, a switching proposal unit 15, an operation information acquisition unit 16, and a driving mode output unit 17. It can also be said that the procedure or method is executed by a computer.
 ここで、プロセッサ101とは、CPU(Central Processing Unit)、処理装置、演算装置、又はマイクロプロセッサ等のことである。
 メモリ102は、RAM(Random Access Memory)、ROM(Read Only Memory)、EPROM(Erasable Programmable ROM)、又はフラッシュメモリ等の不揮発性もしくは揮発性の半導体メモリであってもよいし、ハードディスク又はフレキシブルディスク等の磁気ディスクであってもよいし、CD(Compact Disc)又はDVD(Digital Versatile Disc)等の光ディスクであってもよい。
Here, the processor 101 is a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, or the like.
The memory 102 may be a RAM (Random Access Memory), a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), or a nonvolatile or volatile semiconductor memory such as a flash memory, a hard disk, a flexible disk, or the like. The magnetic disk may be a CD (Compact Disc) or a DVD (Digital Versatile Disc).
 なお、搭乗者情報取得部11、走行状況情報取得部12、自車両情報出力部13、切替判定部14、切替提案部15、操作情報取得部16、及び運転モード出力部17の機能について、一部を専用のハードウェアで実現し、一部をソフトウェア又はファームウェアで実現するようにしてもよい。このように、運転支援装置10における処理回路は、ハードウェア、ソフトウェア、ファームウェア、又はこれらの組み合わせによって、上述の機能を実現することができる。 It should be noted that the functions of the passenger information acquisition unit 11, the traveling state information acquisition unit 12, the own vehicle information output unit 13, the switching determination unit 14, the switching proposal unit 15, the operation information acquisition unit 16, and the driving mode output unit 17 are as follows. The part may be realized by dedicated hardware, and a part may be realized by software or firmware. As described above, the processing circuit in the driving support device 10 can realize the above-described functions by hardware, software, firmware, or a combination thereof.
 なお、本発明はその発明の範囲内において、各実施の形態の自由な組み合わせ、各実施の形態の任意の構成要素の変形、又は各実施の形態の任意の構成要素の省略が可能である。 In the present invention, within the scope of the invention, free combinations of the respective embodiments, modification of arbitrary components of the respective embodiments, or omission of arbitrary components of the respective embodiments are possible.
 この発明に係る運転支援装置は、搭乗者の手動運転の慣れ度合いを考慮して自動運転モードから手動運転モードへの切り替えを判定するようにしたので、自動運転と手動運転とを適宜切り替える運転支援装置等に用いるのに適している。 In the driving support device according to the present invention, the switching from the automatic driving mode to the manual driving mode is determined in consideration of the degree of familiarity of the passenger with manual driving. Suitable for use in devices and the like.
 1 出力装置、2 入力装置、3 運転モード制御装置、10 運転支援装置、11 搭乗者情報取得部、12 走行状況情報取得部、13 自車両情報出力部、14 切替判定部、15 切替提案部、16 操作情報取得部、17 運転モード出力部、20,21 搭乗者、100 処理回路、101 プロセッサ、102 メモリ。 DESCRIPTION OF SYMBOLS 1 Output device, 2 Input device, 3 Driving mode control device, 10 Driving support device, 11 Passenger information acquisition part, 12 Driving condition information acquisition part, 13 Own vehicle information output part, 14 Switching judgment part, 15 Switching proposal part, 16 Operation information acquisition unit, 17 operation mode output unit, 20, 21 passenger, 100 processing circuit, 101 processor, 102 memory.

Claims (10)

  1.  車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を少なくとも含む搭乗者情報を取得する搭乗者情報取得部と、
     前記車両の走行状況を表す走行状況情報を取得する走行状況情報取得部と、
     前記搭乗者情報取得部により取得された搭乗者情報及び前記走行状況情報取得部により取得された走行状況情報に基づいて、前記車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定する切替判定部とを備える運転支援装置。
    A passenger information acquisition unit for acquiring passenger information including at least information indicating a degree of familiarity with manual driving of a passenger on the vehicle;
    A driving situation information acquisition unit for acquiring driving situation information representing the driving situation of the vehicle;
    Whether to switch the driving mode of the vehicle from the automatic driving mode to the manual driving mode based on the passenger information acquired by the passenger information acquiring unit and the driving status information acquired by the driving status information acquiring unit. A driving support device comprising a switching determination unit for determining.
  2.  前記切替判定部により前記自動運転モードから前記手動運転モードへ切り替えることが判定された場合、前記搭乗者に対する前記手動運転モードへの切り替えを提案する切替提案部と、
     前記切替提案部による前記手動運転モードへの切り替え提案を承認する内容の操作情報を取得する操作情報取得部と、
     前記操作情報取得部により操作情報が取得された場合、前記車両に搭載されている運転モード制御装置に対して前記自動運転モードから前記手動運転モードへの切り替えを指示する運転モード出力部とを備えることを特徴とする請求項1記載の運転支援装置。
    When it is determined by the switching determination unit to switch from the automatic operation mode to the manual operation mode, a switching suggestion unit that proposes switching to the manual operation mode for the passenger;
    An operation information acquisition unit for acquiring operation information of contents for approving the switching proposal to the manual operation mode by the switching proposal unit;
    An operation mode output unit that instructs the operation mode control device mounted on the vehicle to switch from the automatic operation mode to the manual operation mode when the operation information is acquired by the operation information acquisition unit; The driving support apparatus according to claim 1.
  3.  前記搭乗者の手動運転の慣れ度合いを表す情報は、予め定められた期間における前記搭乗者の手動運転距離、手動運転時間、又は手動運転回数のうちの少なくとも1つであることを特徴とする請求項1記載の運転支援装置。 The information representing the degree of habituation of the passenger's manual driving is at least one of the manual driving distance, manual driving time, or manual driving frequency of the passenger during a predetermined period. The driving support device according to Item 1.
  4.  前記走行状況情報は、前記車両の周辺を走行している他車両の数、又は前記他車両が実行中の運転モードの少なくとも一方であることを特徴とする請求項1記載の運転支援装置。 2. The driving support apparatus according to claim 1, wherein the traveling state information is at least one of the number of other vehicles traveling around the vehicle or an operation mode being executed by the other vehicle.
  5.  前記走行状況情報は、前記車両の周辺の地形、天候、又は走行中の道路に関する情報のうちの少なくとも1つであることを特徴とする請求項1記載の運転支援装置。 The driving support device according to claim 1, wherein the traveling state information is at least one of information on a terrain around the vehicle, weather, or a road on which the vehicle is traveling.
  6.  前記搭乗者情報は、前記搭乗者の年齢、性別、事故歴、又は違反歴のうちの少なくとも1つであることを特徴とする請求項1記載の運転支援装置。 The driving support apparatus according to claim 1, wherein the passenger information is at least one of the age, sex, accident history, or violation history of the passenger.
  7.  前記搭乗者情報は、前記搭乗者の表情、血圧、姿勢、脈拍、又は呼吸頻度のうちの少なくとも1つを含む生体情報であることを特徴とする請求項1記載の運転支援装置。 The driving support device according to claim 1, wherein the passenger information is biological information including at least one of the facial expression, blood pressure, posture, pulse, or respiratory frequency of the passenger.
  8.  前記切替判定部は、前記自動運転モード実行中の前記生体情報に基づいて前記搭乗者の前記自動運転モードに対する不満度を求め、前記不満度が閾値以上である場合に前記自動運転モードから前記手動運転モードへ切り替えることを判定することを特徴とする請求項7記載の運転支援装置。 The switching determination unit obtains a degree of dissatisfaction with respect to the automatic driving mode of the occupant based on the biological information during execution of the automatic driving mode, and when the degree of dissatisfaction is equal to or greater than a threshold value, The driving support apparatus according to claim 7, wherein switching to the driving mode is determined.
  9.  請求項2記載の運転支援装置と、
     前記切替提案部による前記手動運転モードへの切り替え提案を前記搭乗者に対して出力する出力装置と、
     前記搭乗者による前記手動運転モードへの切り替え提案を承認する操作を受け付けて前記操作情報として前記操作情報取得部へ出力する入力装置とを備えることを特徴とする運転支援システム。
    The driving support device according to claim 2;
    An output device for outputting to the passenger the switching proposal to the manual operation mode by the switching proposal unit;
    A driving support system comprising: an input device that accepts an operation for approving the switching proposal to the manual operation mode by the passenger and outputs the operation information to the operation information acquisition unit.
  10.  搭乗者情報取得部が、車両に搭乗している搭乗者の手動運転の慣れ度合いを表す情報を少なくとも含む搭乗者情報を取得するステップと、
     走行状況情報取得部が、前記車両の走行状況を表す走行状況情報を取得するステップと、
     切替判定部が、前記搭乗者情報取得部により取得された搭乗者情報及び前記走行状況情報取得部により取得された走行状況情報に基づいて、前記車両の運転モードを自動運転モードから手動運転モードへ切り替えるか否かを判定するステップとを備える運転支援方法。
    A passenger information acquisition unit acquiring passenger information including at least information indicating a degree of habituation of manual driving of a passenger boarding the vehicle;
    A step of acquiring a driving situation information representing a driving situation of the vehicle, a driving situation information acquisition unit;
    The switching determination unit changes the driving mode of the vehicle from the automatic driving mode to the manual driving mode based on the passenger information acquired by the passenger information acquiring unit and the driving status information acquired by the driving status information acquiring unit. And a step of determining whether or not to switch.
PCT/JP2018/014425 2018-04-04 2018-04-04 Driving assistance device, driving assistance system, and driving assistance method WO2019193684A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017061191A (en) * 2015-09-24 2017-03-30 日産自動車株式会社 Support apparatus and support method
JP2017062739A (en) * 2015-09-25 2017-03-30 パナソニック株式会社 Vehicle control device
WO2018056104A1 (en) * 2016-09-26 2018-03-29 ソニー株式会社 Vehicle control device, vehicle control method, and moving body

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017061191A (en) * 2015-09-24 2017-03-30 日産自動車株式会社 Support apparatus and support method
JP2017062739A (en) * 2015-09-25 2017-03-30 パナソニック株式会社 Vehicle control device
WO2018056104A1 (en) * 2016-09-26 2018-03-29 ソニー株式会社 Vehicle control device, vehicle control method, and moving body

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