CN111252075A - Driving severity evaluation system, driving severity evaluation method, storage medium, and vehicle - Google Patents
Driving severity evaluation system, driving severity evaluation method, storage medium, and vehicle Download PDFInfo
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- CN111252075A CN111252075A CN202010103899.5A CN202010103899A CN111252075A CN 111252075 A CN111252075 A CN 111252075A CN 202010103899 A CN202010103899 A CN 202010103899A CN 111252075 A CN111252075 A CN 111252075A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- 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
- B60W40/09—Driving style or behaviour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/146—Display means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/10—Accelerator pedal position
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/12—Brake pedal position
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Abstract
The invention discloses a driving severity evaluation system, a driving severity evaluation method, a storage medium and a vehicle, wherein the driving severity evaluation system comprises the following steps: the front-end data acquisition module is used for acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor; the comprehensive data evaluation module is used for receiving the data collected by the front-end data collection module and calculating the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the variance of the depth of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data collected by the front-end data collection module; processing the sub-item data of each driving severity evaluation to respectively obtain the score of each single item and calculate the sum of 7 scores; and the display module outputs the judgment result of the comprehensive data evaluation module. The invention can comprehensively evaluate the driving safety, compliance validity and stress reflection of the driving environment of the user.
Description
Technical Field
The invention belongs to the technical field of driving evaluation, and particularly relates to a driving severity evaluation system and method, a storage medium and a vehicle.
Background
Aiming at the driving style of the user, the evaluation of the driving severity degree on the user is one of the important elements of the current human-vehicle interaction, and has an important auxiliary effect on safe driving, energy-saving driving and legal driving of the user.
Most of the conventional driving evaluation models use the vehicle speed and the acceleration as main evaluation indexes of driving severity, and evaluate whether a driver is overspeed, sudden acceleration and sudden deceleration, fatigue driving and the like in the driving process.
Therefore, it is necessary to develop a system, a method, a storage medium, and a vehicle for evaluating the driving severity of a driver.
Disclosure of Invention
The invention provides a driving severity evaluation system, method, storage medium and vehicle, which can comprehensively evaluate the driving safety, compliance and stress reflection of driving environment of a user.
In a first aspect, the present invention provides a driving severity evaluation system, including:
the front-end data acquisition module is used for acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor;
the comprehensive data evaluation module is used for receiving the data collected by the front-end data collection module, calculating the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the variance of the depth of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data collected by the front-end data collection module, and totally 7 driving severity evaluation sub-items; processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and the display module outputs the judgment result of the comprehensive data evaluation module.
Further, the comprehensive data evaluation module calculates the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal and the fluctuation times of the accelerator pedal in unit time through an accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
Further, the display module is also used for outputting driving suggestions through a central control display screen according to scores of the individual driving intensity evaluation sub-items based on preset conditions; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle.
In a second aspect, the driving severity evaluation method according to the present invention includes the steps of:
s1, electrifying or igniting a vehicle;
s2, acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor;
s3, calculating the average depth of an accelerator pedal, the depth variance of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the depth variance of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data acquired by the front-end data acquisition module, and totaling 7 driving severity evaluation sub-items; processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and S4, outputting the judgment result of the comprehensive data evaluation module.
Further, the step S2 specifically includes: front-end data acquisition is carried out through a vehicle-mounted sensor; and after data acquisition is finished, cloud data transmission is carried out, the data are stored in a cloud database, and an accelerator pedal signal, a brake pedal signal and a vehicle speed signal are extracted from the uploaded cloud data.
Further, in step S3, the accelerator pedal average depth, the accelerator pedal depth variance, and the number of accelerator pedal fluctuations per unit time are calculated from the accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
Further, in step S3, after the calculation is completed, the user data is uploaded to the cloud server to be compared with all the user data comprehensively, the big data calculation is performed to obtain a comprehensive ranking of the driving process, and the calculation result is stored in the cloud data.
Further, in the step S4, the driving advice is output through the central control display screen based on the preset condition for the score of the individual driving severity evaluation sub-item; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle.
In a third aspect, a storage medium stores therein a computer program that is invoked by a controller to perform the steps of the driving severity assessment method according to the present invention.
In a fourth aspect, a vehicle employs the driving severity evaluation system according to the present invention.
The invention has the following advantages: basic data are acquired through the vehicle-mounted sensor and transmitted to the background through the cloud for operation and evaluation, and the method has high universality and reference; the method is based on big data analysis, the current evaluation result is transversely compared with other users, the accuracy and the objectivity of evaluation are ensured, the evaluation result is informed to the users through vehicle-mounted display equipment, suggestions are provided for the driving styles of the users more pertinently, the drivers can adjust the driving styles based on the driving evaluation suggestions, and the driving styles are optimized from the driving aspect of the users. The method has the advantages of strong universality, strong reference, strong data reliability, multiple evaluation dimensions, high evaluation precision, strong pertinence of evaluation suggestions and the like.
Drawings
FIG. 1 is a schematic block diagram of the present embodiment;
fig. 2 is a flowchart in the present embodiment.
Detailed Description
The invention will be further explained with reference to the drawings.
As shown in fig. 1, a driving severity evaluation system includes:
the front-end data acquisition module is used for acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor;
the comprehensive data evaluation module is used for receiving the data collected by the front-end data collection module, calculating the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the variance of the depth of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data collected by the front-end data collection module, and totally 7 driving severity evaluation sub-items; processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and the display module outputs the judgment result of the comprehensive data evaluation module.
In the embodiment, the comprehensive data evaluation module calculates the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal and the fluctuation times of the accelerator pedal in unit time through an accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
The vehicle speed signal comes from the wheel speed sensor, the signal precision is high, and the average acceleration is indirectly calculated by adopting the vehicle speed signal because the less the loading signal, the smaller the memory occupied by the running and the faster the calculation speed.
In this embodiment, the comprehensive data evaluation module performs normalization processing on all the single data by a normalization method: taking the average depth (A) of the accelerator pedal as an example, finding out the maximum value Amax and the minimum value Amin of the average depth of the accelerator pedal in a large database, substituting the formula x = (A-Amin)/(Amax-Amin), obtaining a single-term coefficient value x (0 is not less than the single-term coefficient value is not more than 1) after the average depth of the accelerator pedal is normalized, and multiplying the single-term coefficient value by the weight of the single term in the whole vehicle evaluation to obtain the single-term score of the average depth of the accelerator pedal. By analogy, the accelerator pedal depth variance, the accelerator pedal fluctuation times in unit time (namely the accelerator pedal fluctuation times in unit time), the average brake pedal depth, the brake pedal depth variance, the brake pedal braking times in unit time (namely the braking times in unit time) and the average acceleration are respectively obtained. And the scores of 7 driving severity evaluation sub-items are obtained in total, the sum of the scores of 7 items is the comprehensive driving score of the driver in the current driving, and the higher the score is, the higher the driving severity of the driver in the current driving is represented. And after the result is obtained, the result score is input to a display module.
The display module is also used for outputting driving suggestions through a central control display screen according to scores of the individual driving intensity evaluation sub-items based on preset conditions; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle. In the embodiment, by simultaneously referring to the driving safety, the compliance validity and the energy consumption of the whole vehicle, the scoring of a single evaluation sub-item is provided with a targeted rationalization suggestion to a user through the central control display screen, the driving style of the user is improved, the safety is improved, and the energy consumption of driving is reduced.
As shown in fig. 2, in the present embodiment, a driving severity evaluation method includes the following steps:
s1, electrifying or igniting a vehicle;
s2, vehicle speed signals, accelerator pedal signals and brake pedal signal data of the vehicle are acquired through a vehicle-mounted sensor, and the method specifically comprises the following steps: and front-end data acquisition is carried out through data acquisition modules such as a vehicle-mounted sensor. And after data acquisition is finished, cloud data transmission is carried out, and the data are stored in a cloud database. And extracting an accelerator pedal signal, a brake pedal signal and a vehicle speed signal from the uploaded cloud data.
And S3, calculating the average depth of an accelerator pedal, the depth variance of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the depth variance of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data acquired by the front-end data acquisition module, and totaling 7 driving severity evaluation sub-items. Processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and S4, outputting the judgment result of the comprehensive data evaluation module.
In this embodiment, in step S3, the average accelerator pedal depth, the variance of the accelerator pedal depth, and the number of accelerator pedal fluctuations per unit time are calculated from the accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
In this embodiment, in step S3, after the calculation is completed, the user data is uploaded to the cloud server to be compared with all the user data comprehensively, the big data calculation is performed to obtain a comprehensive ranking of the driving process, and the calculation result is stored in the cloud data.
In this embodiment, in step S4, the driving advice is output through the central control display screen based on the preset condition for the score of the single driving severity evaluation sub-item; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle.
In the embodiment, the basic data are acquired through the vehicle-mounted sensor and transmitted to the background through the cloud for operation and evaluation, so that the method has high universality and high reference; the method is based on big data analysis, the current evaluation result is transversely compared with other users, the accuracy and the objectivity of evaluation are ensured, the evaluation result is informed to the users through vehicle-mounted display equipment, suggestions are provided for the driving styles of the users more pertinently, the drivers can adjust the driving styles based on the driving evaluation suggestions, and the driving styles are optimized from the driving aspect of the users. Meanwhile, the user can store the multiple evaluation results in the local or cloud end, and longitudinal comparison is carried out to know the change process of the driving style of the user.
In the present embodiment, a storage medium stores therein a computer program that is called by a controller to execute the steps of the driving severity evaluation method as described in the present embodiment.
In the present embodiment, a vehicle employs the driving severity evaluation system as described in the present embodiment.
Claims (10)
1. A driving severity evaluation system, comprising:
the front-end data acquisition module is used for acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor;
the comprehensive data evaluation module is used for receiving the data collected by the front-end data collection module, calculating the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the variance of the depth of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data collected by the front-end data collection module, and totally 7 driving severity evaluation sub-items; processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and the display module outputs the judgment result of the comprehensive data evaluation module.
2. The driving severity evaluation system according to claim 1, wherein: the comprehensive data evaluation module calculates the average depth of an accelerator pedal, the variance of the depth of the accelerator pedal and the fluctuation times of the accelerator pedal in unit time through an accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
3. The driving severity evaluation system according to claim 1 or 2, wherein: the display module is also used for outputting driving suggestions through a central control display screen according to scores of the individual driving intensity evaluation sub-items based on preset conditions; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle.
4. A driving severity evaluation method is characterized by comprising the following steps:
s1, electrifying or igniting a vehicle;
s2, acquiring vehicle speed signals, accelerator pedal signals and brake pedal signal data of a vehicle through a vehicle-mounted sensor;
s3, calculating the average depth of an accelerator pedal, the depth variance of the accelerator pedal, the fluctuation times of the accelerator pedal in unit time, the average depth of a brake pedal, the depth variance of the brake pedal, the braking times of the brake pedal in unit time and the average acceleration based on the data acquired by the front-end data acquisition module, and totaling 7 driving severity evaluation sub-items; processing the sub-item data of the evaluation of the driving severity to respectively obtain the scores of the single items, and solving the sum of 7 scores to obtain the comprehensive driving score of the current driving;
and S4, outputting the judgment result of the comprehensive data evaluation module.
5. The driving severity evaluation method according to claim 4, wherein: the step S2 specifically includes: front-end data acquisition is carried out through a vehicle-mounted sensor; and after data acquisition is finished, cloud data transmission is carried out, the data are stored in a cloud database, and an accelerator pedal signal, a brake pedal signal and a vehicle speed signal are extracted from the uploaded cloud data.
6. The driving severity evaluation method according to claim 4 or 5, wherein: in step S3, the accelerator pedal average depth, the accelerator pedal depth variance, and the number of accelerator pedal fluctuations per unit time are calculated from the accelerator pedal signal; calculating the average depth of a brake pedal, the variance of the depth of the brake pedal and the braking times of the brake pedal in unit time according to the signals of the brake pedal; and calculating the average acceleration through the vehicle speed signal.
7. The driving severity evaluation method according to claim 6, wherein: in step S3, after the calculation is completed, the user data is uploaded to the cloud server to be compared with all the user data comprehensively, the big data calculation is performed to obtain a comprehensive ranking of the driving process, and the calculation result is stored in the cloud data.
8. The driving severity evaluation method according to claim 7, wherein: the step S4 further includes: outputting driving suggestions through a central control display screen according to scores of the single driving severity evaluation sub-items based on preset conditions; the preset conditions comprise one or more of driving safety, compliance validity and energy consumption of the whole vehicle.
9. A storage medium having a computer program stored therein, characterized in that: the computer program is invoked by a controller to perform the steps of the driving severity assessment method according to any of claims 4 to 8.
10. A vehicle, characterized in that: a driving severity evaluation system according to any one of claims 1 to 3 is employed.
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