CN109094568B - Driving effort assessment system and method - Google Patents
Driving effort assessment system and method Download PDFInfo
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- CN109094568B CN109094568B CN201710470131.XA CN201710470131A CN109094568B CN 109094568 B CN109094568 B CN 109094568B CN 201710470131 A CN201710470131 A CN 201710470131A CN 109094568 B CN109094568 B CN 109094568B
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- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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Abstract
The invention relates to a driving effort assessment system and method. A driving effort evaluation system comprising: data acquisition means for acquiring a position and a driver-related parameter of a vehicle that has traveled through one of the plurality of road units in a unit time period; an analysis device for: evaluating a driving effort of each vehicle in the respective road unit in dependence on the driver-related parameter; calculating a driving effort payment value of the corresponding road unit; a driving effort expenditure map is generated based on the calculated driving effort expenditure values of the plurality of road units.
Description
Technical Field
The invention relates to the technical field of vehicle assistance. More particularly, the present invention relates to a driving effort assessment system and method for a vehicle.
Background
Current vehicle navigation systems may plan navigation paths in consideration of a trip length, a congestion degree, and the like in order to expect an improvement in traffic efficiency of vehicles. However, this path planning method does not take into account the effort that the driver needs to pay during driving. The effort expended by the driver is directly related to the driving experience and comfort. For example, when the vehicle travels on an orderly and less disturbing road, the driver does not feel fatigue even if the travel time is slightly longer.
For this reason, there is a need for a driving effort evaluation system and method capable of evaluating an effort of a driver during driving.
Disclosure of Invention
An object of the present invention is to provide a driving effort evaluation system and method capable of evaluating an effort of a driver during driving. Another object of the present invention is to provide a driving effort evaluation system and method capable of producing a driving effort map. Another object of the present invention is to provide a driving effort evaluation system and method capable of assisting driving by applying a driving effort map.
One aspect of the present invention provides a driving effort payment evaluation system including: data acquisition means for acquiring a position and a driver-related parameter of a vehicle that has traveled through one of the plurality of road units in a unit time period; an analysis device for: evaluating a driving effort of each vehicle in the respective road unit in dependence on the driver-related parameter; calculating a driving effort payment value of the corresponding road unit; a driving effort expenditure map is generated based on the calculated driving effort expenditure values of the plurality of road units.
According to an embodiment of the invention, the analysis device is further configured to: an average value of driving effort payment values of vehicles traveling through the respective road units is calculated.
According to an embodiment of the invention, a road unit comprises: road sections and road areas.
According to an embodiment of the invention, the data acquisition device is further configured to: obtaining driver-related parameters of hands, feet and/or head of a driver of the vehicle, and the analyzing device is further configured to: evaluating a driver of the vehicle for hand efforts, foot efforts, and/or head efforts.
According to an embodiment of the invention, the driver-related parameters of the hands comprise: steering angle, rate of change of steering angle, horn operation, turn light operation, hand shift operation, hand park brake operation.
According to an embodiment of the invention, the driver related parameters of the foot comprise: accelerator pedal operation, brake pedal operation, foot shift operation, foot park brake operation.
According to an embodiment of the invention, the driver-related parameters of the head comprise: gaze direction, gaze direction rate of change, gaze range, observation rearview mirror operation.
According to an embodiment of the invention, the data acquisition device is arranged remote from the vehicle and is configured to acquire the driver-related parameter of the vehicle from the vehicle by wireless communication.
According to an embodiment of the present invention, the driving effort evaluation system further includes: and an output device for outputting the driving effort exertion level of the road unit according to the generated driving effort exertion map.
Another aspect of the invention provides a vehicle comprising a driving effort assessment system according to the invention.
Another aspect of the present invention provides a driving effort assessment method, including: acquiring a position and a driver-related parameter of a vehicle traveling through one of a plurality of road units in a unit time period; evaluating a driving effort of each vehicle in the respective road unit in dependence on the driver-related parameter; calculating a driving effort payment value of the corresponding road unit; a driving effort expenditure map is generated based on the calculated driving effort expenditure values of the plurality of road units.
According to an embodiment of the present invention, calculating the driving effort payment value for the respective road unit includes: an average value of driving effort payment values of vehicles traveling through the respective road units is calculated.
According to an embodiment of the invention, a road unit comprises: road sections and road areas.
According to an embodiment of the present invention, acquiring the position and the driver-related parameter of the vehicle that has traveled through one of the plurality of road units for the unit time period includes: acquiring driver-related parameters of hands, feet and/or head of a driver of the vehicle, and evaluating driving effort efforts of each vehicle in a respective road unit comprises: evaluating a driver of the vehicle for hand efforts, foot efforts, and/or head efforts.
According to an embodiment of the invention, the driver-related parameters of the hands comprise: steering angle, rate of change of steering angle, horn operation, turn light operation, hand shift operation, hand park brake operation.
According to an embodiment of the invention, the driver related parameters of the foot comprise: accelerator pedal operation, brake pedal operation, foot shift operation, foot park brake operation.
According to an embodiment of the invention, the driver-related parameters of the head comprise: gaze direction, gaze direction rate of change, gaze range, observation rearview mirror operation.
According to an embodiment of the present invention, acquiring the position and the driver-related parameter of the vehicle that has traveled through one of the plurality of road units for the unit time period includes: the driver-related parameters are obtained from the vehicle via wireless communication.
According to an embodiment of the present invention, the driving effort assessment method further includes: and outputting a driving effort expenditure level of the road unit according to the generated driving effort expenditure map.
Drawings
Fig. 1 is a schematic diagram of a driving effort evaluation system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a driving effort evaluation method according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention are described with reference to the drawings. The following detailed description and drawings are illustrative of the principles of the invention, which is not limited to the preferred embodiments described, but is defined by the claims. The invention will now be described in detail with reference to exemplary embodiments thereof, some of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings, in which like reference numerals refer to the same or similar elements in different drawings unless otherwise indicated. The aspects described in the following exemplary embodiments do not represent all aspects of the present invention. Rather, these aspects are merely exemplary of the systems and methods according to the various aspects of the present invention as recited in the appended claims.
The driving effort evaluation system according to the embodiment of the invention may be mounted on or applied to a vehicle. The vehicle may be an internal combustion engine vehicle using an internal combustion engine as a drive source, an electric vehicle or a fuel cell vehicle using an electric motor as a drive source, a hybrid vehicle using both of the above as drive sources, or a vehicle having another drive source.
In this context, "driving effort" is used to characterize the physical and mental effort a driver takes while driving a vehicle over a stretch of travel. For example, when the vehicle is traveling on a clear highway, the driver is often in a low driving effort state; and when the vehicle runs on a road inside a city and it is necessary to frequently avoid pedestrians and the like, the driver is often in a state of high driving effort.
Fig. 1 is a schematic diagram of a driving effort evaluation system according to an embodiment of the present invention. As shown in fig. 1, the driving effort evaluation system 10 includes a data acquisition device 110 and an analysis device 120. In an exemplary embodiment, the driving effort assessment system 10 may be connected to one or more vehicles 20.
The data acquisition device 110 may acquire the position of the vehicle 20 and the driver-related parameters. In an exemplary embodiment, the data acquisition device 110 may acquire the position of the vehicle 20 and the driver-related parameter of the vehicle 20 while traveling through one of the plurality of road units. The "driver-related parameter" indicates a parameter related to the driving operation of the driver of the vehicle 20. "road unit" means the smallest geographical unit for evaluating the effort of driving. Several road units may be included in the map. In an exemplary embodiment, a road unit includes a road section (i.e., a portion of a road) and a road area (i.e., a combination of roads within an area).
According to some embodiments of the invention, the data acquisition device 110 may be disposed remotely from the vehicle 20 and connected to the vehicle 20 by wireless communication. According to embodiments of the present invention, the data acquisition device 110 may be connected to the vehicle 20 via Wi-Fi, Bluetooth, a mobile network (3G, 4G, LTE, etc.), or other communication techniques. In an exemplary embodiment, the data acquisition device 110 may be communicatively coupled to the Vehicle 20 based on Vehicle to electric (V2X).
In an exemplary embodiment, the data acquisition device 110 may acquire the driver-related parameter from various types of detection units mounted on the vehicle 20. In some embodiments, the detection unit may include an already installed detection unit of the vehicle 20, such as an onboard camera, torque sensor, pedal sensor, or the like. In some embodiments, the detection unit may comprise a separately provided detection unit.
According to an embodiment of the present invention, the data acquisition device 110 may acquire the position of the vehicle 20 and the driver-related parameter from the plurality of vehicles 20, respectively.
In an exemplary embodiment, the data acquisition device 110 may acquire the position of the vehicle 20 and the driver-related parameter in one road unit that has traveled through the plurality of road units in a unit time period. The "unit time period" represents a sampling period of the data acquisition device 110. The unit time period may be fixed or variable.
The analysis device 120 may be in wired or wireless communication with the data acquisition device 110. According to some embodiments of the invention, the analysis device 120 may be disposed remotely from the vehicle 20 and connected to the vehicle 20 by wireless communication.
In an exemplary embodiment, the analysis device 120 may receive one or more driver-related parameters of the vehicle 20 from the data acquisition device 110. The analysis means 120 may evaluate the driving effort of each vehicle 20 in the respective road unit on the basis of the driver-related parameter of that vehicle 20.
According to an embodiment of the present invention, the data acquisition device 110 may acquire driver-related parameters of hands, feet and/or head of a driver of the vehicle. The analysis means 120 may evaluate the driver's hand efforts, foot efforts and/or head efforts of the vehicle.
In an exemplary embodiment, the data acquisition device 110 acquires driver-related parameters of the driver's hands from the vehicle 20. For example, driver-related parameters of the hands may include, but are not limited to: steering angle, rate of change of steering angle, horn operation, turn light operation, hand shift operation, hand park brake operation, and the like.
In an exemplary embodiment, the analysis means 120 may receive the driver-related parameters of the hand from the data acquisition means 110 and calculate the hand driving effort by formula (1).
F is paid for the hand driving1(driver-related parameters of hands) (1).
In some embodiments, the analysis device 120 may count the frequency of driver turns. For example, the analysis device 120 may count the number of times N that the amount of change in the steering angle is larger than a threshold value1To calculate the frequency of driver steering. The higher the steering frequency, the higher the driver's effort.
In some embodiments, the analysis device 120 may count the frequency of large turns of the driver. For example, the analysis device 120 may count the number of times N that the steering angle is greater than a threshold value2To calculate the frequency of large amplitude steering of the driver. The higher the frequency of large amplitude steering, the higher the driver's effort.
In some embodiments, the analysis device 120 may count the frequency of horn usage by the driver. For example, the analysis device 120 may count the number of horn operations N of the driver3. The higher the frequency of horn usage, the higher the driver's effort.
In some embodimentsThe analysis means 120 may count the duration of the vehicle idling. For example, the analysis device 120 may count the duration T during which the amount of change in the steering angle is zero1. The longer the duration of the idling of the vehicle, the higher the driver's effort of driving.
According to an embodiment of the present invention, the analysis means 120 may also calculate the hand driving effort based on other parameters and/or criteria.
According to an embodiment of the present invention, the analysis means 120 may evaluate the hand driving effort according to the calculated parameters. In some embodiments, the analysis means 120 may evaluate the hand driving effort by a weighted average. For example, the analysis means 120 may calculate the hand driving effort by formula (2), where P1、P2、P3… … denotes weights.
F is paid for the hand driving1(N1*P1+N2*P2+N3*P3+……) (2)。
In some embodiments, the analysis device 120 may also evaluate the hand driving effort through other mathematical models, such as a gaussian mixture model.
In an exemplary embodiment, the driver-related parameters of the foot may include, but are not limited to: accelerator pedal operation, brake pedal operation, foot shift operation, foot parking brake operation, and the like.
In an exemplary embodiment, the analysis means 120 may receive the driver-related parameters of the foot from the data acquisition means 110 and calculate the foot driving effort through equation (3).
Foot drive effort payment F2(driver-related parameters of the feet) (3).
In some embodiments, the analysis device 120 may count the frequency of brake pedal usage by the driver. For example, the analysis means 120 may count the number of times N of the driver's brake pedal operation4. The higher the frequency of use of the brake pedal, the higher the driver's effort of driving.
In some embodiments, the analysis device 120 mayThe frequency of driver switching between accelerator pedal and brake pedal is counted. For example, the analysis device 120 may count the number of times N that the driver switches between the accelerator pedal and the brake pedal5. The higher the frequency with which the driver switches the brake pedal and the accelerator pedal, the higher the driver's effort to drive.
According to an embodiment of the present invention, the analysis means 120 may also calculate the foot driving effort based on other parameters and/or criteria.
According to an embodiment of the present invention, the analysis means 120 may evaluate the foot driving effort based on the calculated parameters. In some embodiments, the analysis means 120 may evaluate the foot driving effort by a weighted average. For example, the analysis means 120 may calculate the foot driving effort by formula (4), where P4、P5… … denotes weights.
Foot drive effort payment F2(N4*P4+N5*P5+……) (4)。
In some embodiments, the analysis device 120 may also evaluate the effort of driving the foot through other mathematical models, such as a gaussian mixture model.
In an exemplary embodiment, the driver-related parameters of the head may include, but are not limited to: gaze direction, rate of change of gaze direction, gaze range, viewing rearview mirror operation, etc.
In an exemplary embodiment, the analysis means 120 may receive the driver-related parameters of the head from the data acquisition means 110 and calculate the head driving effort by equation (5).
Effort of head drive is F3(driver-related parameters of the head) (5).
In some embodiments, the analysis means 120 may count the frequency with which the driver changes the gaze direction. For example, the analysis device 120 may count the number of times N that the amount of change in the gaze angle of the driver is greater than the threshold value6. The higher the frequency of changing the gaze direction, the higher the driver's effort to drive.
In some embodiments, the assay deviceThe device 120 may count the frequency with which the driver's gaze direction is outside a predetermined area (e.g., a forward area). For example, the analysis device 120 may count the number of times N that the driver's gaze angle is not within a predetermined range7. The larger the range of change in the driver's sight line is, the higher the driver's effort for driving is indicated.
According to an embodiment of the invention, the analysis means 120 may also calculate the head driving effort based on other parameters and/or criteria.
According to an embodiment of the present invention, the analysis means 120 may evaluate the head driving effort according to the calculated parameters. In some embodiments, the analysis means 120 may evaluate the head driving effort by a weighted average. For example, the analysis means 120 may calculate the head driving effort by formula (6), where P6、P7… … denotes weights.
Effort of head drive is F3(N6*P6+N7*P7+……) (6)。
In some embodiments, the analysis device 120 may also evaluate the head driving effort through other mathematical models, such as a gaussian mixture model, and the like.
According to an embodiment of the present invention, the analysis means 120 may evaluate the driving effort of the driver based on the evaluated effort of hands, effort of feet and/or effort of head of the driver. In an exemplary embodiment, the analysis means 120 may calculate the driving effort by formula (7).
The driver's efforts are F (hands, feet, and heads) (7).
In some embodiments, the analysis device 120 may evaluate driving effort by a weighted average or other mathematical model (e.g., a gaussian mixture model, etc.).
According to an embodiment of the present invention, the analysis device 120 may calculate a driving effort payment value for each of the plurality of road units, and generate the driving effort payment map according to the calculated driving effort payment value. The "driving effort payment value" represents the driving effort payment that is usually required when the vehicle travels through the corresponding road unit. The analysis means 120 may record the driving effort payout value separately for each road unit in the driving effort payout map.
According to the embodiment of the present invention, the analysis means 120 may evaluate the respective driving efforts of the plurality of vehicles 20 in the same road unit, and thereby calculate the average driving effort expenditure value for the road unit. In an exemplary embodiment, the analysis means 120 may calculate an average driving effort value of one or more vehicles 20 traveling a certain road unit in a unit time period.
In some embodiments, the analysis means 120 may calculate respective driving effort efforts of a plurality of vehicles 20 at a road unit, and calculate an average driving effort value for the road unit by equation (8), where N represents the number of vehicles driving through the road unit in a unit time period.
In some embodiments, the analysis device 120 may also calculate the average driving effort value through other mathematical models.
According to some embodiments of the present invention, the analysis means 120 may determine the driving effort expenditure level of the road unit from the calculated average driving effort expenditure value. The analysis means 120 may set one or more driving effort level, such as a high driving effort level, a medium driving effort level and a low driving effort level.
In some embodiments, the analysis means 120 may record the level of driving effort in a numerical manner. In some embodiments, the analysis device 120 may utilize a visualization to record the level of driving effort. For example, the analyzing means 120 may indicate different driving effort levels with different colors, respectively, e.g. red, yellow, green, corresponding to high, medium and low driving effort levels, respectively.
According to some embodiments of the present invention, the driving effort assessment system 10 may further include an output device 130. The output device 130 may be in wired or wireless communication with the data acquisition device 110 and/or the analysis device 120. In an exemplary embodiment, the output device 130 may output the driving effort payment level of the road unit according to a produced driving effort payment map.
According to some embodiments of the present invention, the output device 130 may output the generated driving effort map. In an exemplary embodiment, the output device 130 may transmit the generated driving effort map to the vehicle 20.
In some embodiments, the output device 130 may output a real-time driving effort level, such as a driving effort level of a certain road unit during the last T unit time periods (e.g., T-5). In some embodiments, output device 130 may output a driving effort level over a period of time, for example, a driving effort level of a certain road unit on the last T days (e.g., T ═ 30). In some embodiments, the output device 130 may output the driving effort level according to the time, for example, the driving effort level of a certain road unit from 17 o 'clock to 18 o' clock of the last T fridays (for example, T ═ 30).
In some embodiments, the output device 130 may communicate a map or level of driving effort efforts to the navigation device of the vehicle 20. In this case, the navigation device of the vehicle 20 may consider a driving effort map or a driving effort level when planning the navigation path, to weigh, for example, a course length, a predicted course time, and a predicted course driving effort, and to provide more rational path planning.
In some embodiments, the output device 130 may communicate a driving effort map or a driving effort level to a control device of the vehicle 20. In this case, the control device of the vehicle 20 may recommend different driving modes to the driver of the vehicle according to the level of the driving effort. For example, when the level of effort expended in driving is low, the control device of the vehicle 20 may recommend a driving mode with an entertainment feature to the driver; when the level of effort for driving is high, the control device of the vehicle 20 may recommend a driving mode having a safety feature to the driver.
The data acquisition device 110 is described above as being connected to the vehicle 20 by wireless communication. However, the present invention is not limited thereto. According to an embodiment of the present invention, the data acquisition device 110 may also be mounted on the vehicle 20. In some embodiments, the data acquisition device 110 may include a plurality of data acquisition units, each mounted on a respective vehicle 20.
The above describes that the analysis device 120 is connected to the vehicle 20 by wireless communication. However, the present invention is not limited thereto. The analysis device 120 may also be mounted on the vehicle 20 according to an embodiment of the present invention. In some embodiments, the analysis device 120 may include a plurality of analysis units, each analysis unit being mounted on a respective vehicle 20. As shown in fig. 1, the analysis unit may transmit the analysis result (e.g., driving effort data of the own vehicle, etc.) to the cloud server 30, and the cloud server 30 may generate a driving effort map and transmit the driving effort map or the driving effort level to the corresponding vehicle 20.
The above-described description has been made on the data acquisition device 110 acquiring the driver-related parameter of the vehicle 20 from the outside (the detection unit on the vehicle 20). However, the present invention is not limited thereto. Those skilled in the art will appreciate that the data acquisition device 110 of the present invention may also directly detect driver-related parameters of the vehicle 20. According to some embodiments of the invention, the data acquisition device 110 may further comprise one or more detection units mounted on the vehicle 20 and configured to detect driver-related parameters of the vehicle 20.
The driving effort evaluation system 10 evaluates the hand effort, the foot effort, and the head effort described above. However, the present invention is not limited thereto. Those skilled in the art will appreciate that the driving effort assessment system 10 of the present invention may also assess driving effort by other aspects of the driver.
A driving effort evaluation method according to an embodiment of the present invention will be described below with reference to the accompanying drawings. Fig. 2 shows a flowchart of a driving effort evaluation method according to an embodiment of the present invention.
As shown in fig. 2, in step S210, the position of the vehicle 20 and the driver-related parameter are acquired. In an exemplary embodiment, the position of the vehicle 20 and the driver-related parameter of the vehicle 20 while traveling through one of the road units may be acquired.
According to the embodiment of the invention, the position of the vehicle 20 and the driver-related parameter may be acquired from the plurality of vehicles 20, respectively. In an exemplary embodiment, the position of the vehicle 20 traveling through one of the road units and the driver-related parameter may be acquired for a unit time period.
According to an embodiment of the invention, driver-related parameters of the hands, feet and/or head of a driver of a vehicle may be acquired.
Other aspects related to obtaining driver-related parameters are referred to above and will not be described in detail here.
In step S220, the driving effort of each vehicle 20 in the respective road unit is evaluated in dependence on the driver-related parameter of that vehicle 20.
According to an embodiment of the invention, the driver of the vehicle may be assessed for a hand effort, a foot effort and/or a head effort. According to the embodiment of the present invention, the driving effort of the driver can be evaluated according to the evaluated hand effort, foot effort, and/or head effort of the driver.
Other aspects regarding assessing driving effort are described above and will not be described in detail herein.
In step S230, the driving effort payment value of the corresponding road unit is calculated. According to the embodiment of the present invention, the driving effort payment value for each of the plurality of road units may be calculated.
According to the embodiment of the invention, it is possible to evaluate respective driving effort efforts of a plurality of vehicles 20 in the same road unit, and thereby calculate an average driving effort value of the road unit. In an exemplary embodiment, an average driving effort value of one or more vehicles 20 traveling a certain road unit in a unit time period may be calculated.
Other aspects related to calculating the driving effort value are referred to above and will not be described herein.
In step S240, a driving effort expenditure map is generated based on the calculated driving effort expenditure value. In an exemplary embodiment, the driving effort payment values may be recorded separately for the respective road units in the driving effort payment map.
According to some embodiments of the present invention, the driving effort expenditure level of the road unit may be determined according to the calculated average driving effort expenditure value. One or more driving effort level may be set, such as a high driving effort level, a medium driving effort level and a low driving effort level.
In some embodiments, the average driving effort value may be recorded in a numerical manner. In some embodiments, the average driving effort value may be recorded in a visual manner. For example, different driving effort levels may be indicated in different colors, such as red, yellow, green corresponding to high, medium and low driving effort levels, respectively.
Optionally, the driving effort assessment method of the present invention may further include: and outputting the driving effort expenditure level of the road unit according to the produced driving effort expenditure map. In an exemplary embodiment, the generated driving effort map or driving effort level may be transmitted to the vehicle 20, for example, a navigation device or a control device of the vehicle 20. Other aspects regarding the output of the level of effort for driving are referred to above and will not be described in detail herein.
While the invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the construction and methods of the embodiments described above. On the contrary, the invention is intended to cover various modifications and equivalent arrangements. In addition, while the various elements and method steps of the disclosed invention are shown in various example combinations and configurations, other combinations, including more, less or all, of the elements or methods are also within the scope of the invention.
Claims (17)
1. A driving effort evaluation system comprising:
data acquisition means for acquiring a position of a vehicle that has traveled through one of the plurality of road units and a driver-related parameter related to an effort of driving within a unit time period; and
an analysis device for:
evaluating a driving effort expenditure of each vehicle in the respective road unit in dependence on a driver-related parameter relating to the driving effort expenditure;
calculating a driving effort payment value of the corresponding road unit; and
generating a driving effort expenditure map based on the calculated driving effort expenditure values of the plurality of road units,
wherein
The data acquisition device is further configured to: obtaining driver-related parameters of hands, feet and/or head of a driver of the vehicle, and
the analysis device is further configured to: evaluating a driver of the vehicle for hand efforts, foot efforts, and/or head efforts.
2. The driving effort evaluation system according to claim 1, wherein
The analysis device is further configured to: an average value of driving effort payment values of vehicles traveling through the respective road units is calculated.
3. The driving effort evaluation system according to claim 1, wherein the road unit includes: road sections and road combinations.
4. The driving effort evaluation system according to claim 1, wherein
Driver-related parameters of the hands include: steering angle, rate of change of steering angle, horn operation, turn light operation, hand shift operation, hand park brake operation.
5. The driving effort evaluation system according to claim 1, wherein
The driver-related parameters of the foot include: accelerator pedal operation, brake pedal operation, foot shift operation, foot park brake operation.
6. The driving effort evaluation system according to claim 1, wherein
The driver-related parameters of the head include: gaze direction, gaze direction rate of change, gaze range, observation rearview mirror operation.
7. The driving effort evaluation system according to claim 1, wherein
The data acquisition device is disposed remote from the vehicle and is configured to acquire, from the vehicle, a driver-related parameter of the vehicle related to the effort of driving.
8. The driving effort evaluation system according to claim 1, further comprising:
and an output device for outputting the driving effort exertion level of the road unit according to the generated driving effort exertion map.
9. A vehicle comprising a driving effort assessment system according to any one of claims 1 to 8.
10. A driving effort assessment method comprising:
acquiring a position of a vehicle that has traveled through one of a plurality of road units and a driver-related parameter related to an effort of driving within a unit time period;
evaluating a driving effort expenditure of each vehicle in the respective road unit in dependence on a driver-related parameter relating to the driving effort expenditure;
calculating a driving effort payment value of the corresponding road unit; and
generating a driving effort expenditure map based on the calculated driving effort expenditure values of the plurality of road units,
acquiring the position of the vehicle that has traveled through one of the plurality of road units and the driver-related parameter related to the effort of driving in the unit period of time includes: obtaining driver-related parameters of hands, feet and/or head of a driver of the vehicle, and
evaluating the driving effort of each vehicle in the respective road unit includes: evaluating a driver of the vehicle for hand efforts, foot efforts, and/or head efforts.
11. The driving effort evaluation method according to claim 10, wherein
Calculating the driving effort expenditure value of the corresponding road unit includes: an average value of driving effort payment values of vehicles traveling through the respective road units is calculated.
12. The driving effort evaluation method according to claim 10, wherein
The road unit includes: road sections and road combinations.
13. The driving effort evaluation method according to claim 10, wherein
Driver-related parameters of the hands include: steering angle, rate of change of steering angle, horn operation, turn light operation, hand shift operation, hand park brake operation.
14. The driving effort evaluation method according to claim 10, wherein
The driver-related parameters of the foot include: accelerator pedal operation, brake pedal operation, foot shift operation, foot park brake operation.
15. The driving effort evaluation method according to claim 10, wherein
The driver-related parameters of the head include: gaze direction, gaze direction rate of change, gaze range, observation rearview mirror operation.
16. The driving effort evaluation method according to claim 10, wherein
Acquiring the position of the vehicle that has traveled through one of the plurality of road units and the driver-related parameter related to the effort of driving in the unit period of time includes: driver-related parameters relating to the effort to drive are acquired from the vehicle through wireless communication.
17. The driving effort evaluation method according to claim 10, further comprising:
and outputting a driving effort expenditure level of the road unit according to the generated driving effort expenditure map.
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| JP2002331850A (en) * | 2001-05-07 | 2002-11-19 | Nissan Motor Co Ltd | Driving behavior intention detector |
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