CN114842571A - Method and device for determining driving behavior data - Google Patents
Method and device for determining driving behavior data Download PDFInfo
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Abstract
The invention provides a method and a device for determining driving behavior data, wherein under the condition that a preset driving behavior of a target vehicle is determined, the dimension value of each preset driving behavior analysis dimension is determined based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data, and the dimension value of each preset driving behavior analysis dimension is analyzed according to the preset driving behavior analysis rule to obtain a driving behavior analysis result. Compared with the mode that the driving behavior analysis result is determined only by determining whether the driving behaviors such as fatigue driving, distracted driving and the like appear in the driving process of the vehicle, the driving behavior analysis method and the driving behavior analysis system have the advantages that the driving behavior of the driver is considered, the driving data of the vehicle are also considered, when the driving behavior analysis result is determined, analysis is carried out from a plurality of preset driving behavior analysis dimensions, the consideration factor is more comprehensive, and the accuracy of the determined driving behavior analysis result is improved.
Description
Technical Field
The invention relates to the field of vehicle driving, in particular to a method and a device for determining driving behavior data and electronic equipment.
Background
With the rapid development of economy and the improvement of living standard, the keeping quantity of motor vehicles is continuously increased. At the same time, the number of road traffic accidents also shows an increasing trend.
During the driving of the vehicle by the driver, the driving behavior of the driver may affect the safety of the driving of the vehicle. Therefore, in order to improve the driving safety of the vehicle, it is necessary to analyze the driving behavior of the driver. Currently, the driving behavior analysis result can be determined in a manner of determining whether the driver has driving behaviors such as fatigue driving, distracted driving, and the like during the driving of the vehicle, and the accuracy of the driving behavior analysis result is low.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for determining driving behavior data, so as to solve the problem of low accuracy of a driving behavior analysis result.
In order to solve the technical problem, the invention adopts the following technical scheme:
a determination method of driving behavior data is applied to a server and comprises the following steps:
under the condition that the preset driving behavior of the target vehicle is determined, acquiring preset analysis dimensionality of each preset driving behavior and a determination rule of the preset analysis dimensionality of the driving behavior; the preset driving behavior is any one preset driving behavior in a preset driving behavior set;
acquiring driving behavior data and vehicle driving data of the target vehicle;
determining a dimension value of each preset driving behavior analysis dimension based on a determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data;
and analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
Optionally, determining a dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data, and the vehicle driving data includes:
determining a behavior dimension value corresponding to a preset driving behavior of the target vehicle, and determining the behavior score as a dimension value of the driving behavior;
determining a vehicle speed value of the target vehicle according to the vehicle running data;
determining a vehicle speed dimension value corresponding to the vehicle speed value, and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and determining a duration dimension value corresponding to the driving duration, and determining the duration dimension value as a dimension value of the driving duration dimension.
Optionally, determining a dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data, and the vehicle driving data, further includes:
determining a number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
determining a frequency dimension value corresponding to the occurrence frequency, and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
under the condition that one of preset driving behaviors of the target vehicle is a specific driving behavior, determining the repetition times of the preset driving behavior within a second preset time in the continuous driving process of the driver according to the driving behavior data;
and determining a repetition frequency dimension value corresponding to the repetition frequency, and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior.
Optionally, determining that the preset driving behavior of the target vehicle occurs includes:
determining whether a preset driving behavior reporting result sent by a target vehicle is received;
and if the report result of the preset driving behavior is received, determining that the preset driving behavior occurs in the target vehicle.
Optionally, according to a preset driving behavior analysis rule, analyzing the dimension value of each preset driving behavior analysis dimension to obtain a driving behavior analysis result, including:
acquiring a preset driving behavior analysis rule; the preset driving behavior analysis rule comprises an incidence relation between a driving behavior analysis result and a dimension value of each driving behavior analysis dimension;
and analyzing the dimension value corresponding to each driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
Optionally, after analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result, the method further includes:
determining whether the target vehicle is driving over;
after the driving is determined to be finished, determining the occurrence frequency statistical result of each preset driving behavior in the preset driving behavior set in the whole driving process of the target vehicle;
obtaining a driving behavior analysis result when each preset driving behavior in the preset driving behavior set appears;
and determining an analysis result of the whole driving process of the target vehicle based on a preset driving process analysis rule, a statistical result of the occurrence times of each preset driving behavior in the preset driving behavior set and a driving behavior analysis result.
A determination apparatus of driving behavior data, applied to a server, the determination apparatus comprising:
the system comprises a first data acquisition module, a second data acquisition module and a control module, wherein the first data acquisition module is used for acquiring preset analysis dimensionalities of each preset driving behavior and a determination rule of the preset analysis dimensionality of the driving behavior under the condition that the preset driving behavior of a target vehicle is determined; the preset driving behavior is any one preset driving behavior in a preset driving behavior set;
the second data acquisition module is used for acquiring the driving behavior data and the vehicle running data of the target vehicle;
the dimension determining module is used for determining a dimension value of each preset driving behavior analysis dimension based on a determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data;
and the result determining module is used for analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
Optionally, the dimension determining module includes:
the first dimension determining submodule is used for determining a behavior dimension value corresponding to a preset driving behavior of the target vehicle and determining the behavior dimension value as a dimension value of the driving behavior;
the vehicle speed determining submodule is used for determining a vehicle speed value of the target vehicle according to the vehicle running data;
the second dimension determining submodule is used for determining a vehicle speed dimension value corresponding to the vehicle speed value and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
the time length determining submodule is used for determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and the third dimension determining submodule is used for determining a duration dimension value corresponding to the driving duration and determining the duration dimension value as the dimension value of the driving duration dimension.
Optionally, the dimension determining module further includes:
a first number of occurrences determination sub-module for determining the number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the frequency of occurrence of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
the fourth dimension determining submodule is used for determining a frequency dimension value corresponding to the occurrence frequency and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
the second-time determining submodule is used for determining the repetition times of the preset driving behaviors in a second preset time in the continuous driving process of the driver according to the driving behavior data under the condition that the preset driving behaviors occur in the target vehicle and are one of specific driving behaviors;
and the fifth dimension determining submodule is used for determining a repetition frequency dimension value corresponding to the repetition frequency and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior dimension.
Optionally, the first data obtaining module is configured to, when determining that the preset driving behavior occurs in the target vehicle, specifically:
and determining whether a preset driving behavior reporting result sent by the target vehicle is received, and if the preset driving behavior reporting result is received, determining that the preset driving behavior occurs in the target vehicle.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method and a device for determining driving behavior data, which are characterized in that when a target vehicle is determined to have preset driving behaviors, preset driving behavior analysis dimensions and a preset rule for determining the preset driving behavior analysis dimensions are obtained, driving behavior data and vehicle driving data of the target vehicle are obtained, the dimension value of each preset driving behavior analysis dimension is determined based on the preset driving behavior analysis dimension determination rule, the driving behavior data and the vehicle driving data, and the dimension value of each preset driving behavior analysis dimension is analyzed according to the preset driving behavior analysis rules to obtain a driving behavior analysis result. Compared with the mode that the driving behavior analysis result is determined only by determining whether the driving behaviors such as fatigue driving, distracted driving and the like appear in the driving process of the vehicle, the driving behavior analysis method and the driving behavior analysis system have the advantages that the driving behavior of the driver is considered, the driving data of the vehicle are also considered, when the driving behavior analysis result is determined, analysis is carried out from a plurality of preset driving behavior analysis dimensions, the consideration factors are more comprehensive, and the accuracy of the determined driving behavior analysis result is improved through the method and the system.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining driving behavior data according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for determining driving behavior data according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining driving behavior data according to another embodiment of the present invention;
FIG. 4 is a schematic diagram of a user portrait scene according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a device for determining driving behavior data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the rapid development of the economy of China and the improvement of the living standard of people, the increase speed of the conservation quantity of motor vehicles and the mileage of newly added roads is continuously accelerated. Meanwhile, road traffic accidents, especially malignant traffic accidents, show a rising trend, and how to reduce the incidence of traffic accidents has become one of the great problems in the current traffic industry and has attracted high attention from governments of various countries.
In the process of driving a vehicle, especially in the process of long-distance driving, on one hand, a driver is easy to fatigue, reduce thinking ability, slow response and the like due to poor physical condition or long-time driving. In another aspect; on the other hand, when the driver does not look on the road, the vehicle may deviate from the lane, and a traffic accident may occur easily. The research shows that: the quality of driving behaviors has a direct causal relationship with the occurrence rate of traffic accidents. In the two-year driving record of a plurality of drivers who have fatally occurred traffic accidents, the two-year violation records of the drivers are found to be significantly higher than the average level in comparison with the drivers who have not occurred serious traffic accidents. Therefore, the research on the driving behavior characteristics of the driver of the motor vehicle and the detection and prevention of the illegal driving behavior are of great significance for reducing traffic accidents. Currently, the driving behavior characteristics can be determined by determining whether the driver has driving behaviors such as fatigue driving and distraction driving during the driving of the vehicle, so as to determine the driving behavior analysis result. For example, if a driving behavior such as fatigue driving occurs, the driving behavior characteristic is considered as fatigue driving, and the driving behavior analysis result is: the fatigue driving phenomenon exists, the safe driving degree is lower, and the distraction driving is similar. However, in this way of determining the driving behavior analysis result, the algorithm dimension is too single, so that the accuracy of the driving behavior analysis result is low.
Therefore, the inventor provides a method for determining driving behavior data, specifically, when a preset driving behavior of a target vehicle is determined, preset driving behavior analysis dimensions and a preset rule of the preset driving behavior analysis dimensions are obtained, driving behavior data and vehicle driving data of the target vehicle are obtained, a dimension value of each preset driving behavior analysis dimension is determined based on the preset driving behavior analysis dimension determination rule, the driving behavior data and the vehicle driving data, and the dimension value of each preset driving behavior analysis dimension is analyzed according to the preset driving behavior analysis rules to obtain a driving behavior analysis result. Compared with the mode that the driving behavior analysis result is determined only by determining whether the driving behaviors such as fatigue driving, distracted driving and the like appear in the driving process of the vehicle, the driving behavior analysis method and the driving behavior analysis system have the advantages that the driving behavior of the driver is considered, the driving data of the vehicle are also considered, when the driving behavior analysis result is determined, analysis is carried out from a plurality of preset driving behavior analysis dimensions, the consideration factors are more comprehensive, and the accuracy of the determined driving behavior analysis result is improved through the method and the system.
Furthermore, the inventors have found that the influence of the driving behavior of the driver on fuel consumption is also very high. In terms of reducing the fuel consumption of the vehicle, drivers usually form their own driving habits according to experience, and the driving habits are difficult to change once formed. In practical application, driving behaviors have a large influence on oil consumption, and some bad driving behaviors, such as liking speeding, liking snake-like driving and the like, and liking stepping on a brake and the like, can cause the oil consumption to be improved. Therefore, if the driving behavior of the driver can be analyzed, the driver can visually see the driving problem of the driver, and then the driving behavior is corrected, and the fuel consumption is reduced.
On the basis of the above content, the embodiment of the invention provides a method for determining driving behavior data, which is applied to a server, wherein the server can communicate with vehicles running on a road and can receive information uploaded by the vehicles.
Referring to fig. 1, the determination method of driving behavior data may include:
s11, under the condition that the preset driving behaviors of the target vehicle are determined, obtaining preset analysis dimensions of the preset driving behaviors and determination rules of the preset analysis dimensions of the driving behaviors.
Wherein the preset driving behavior is any one preset driving behavior in a preset driving behavior set.
In practical application, a vehicle to be analyzed, referred to as a target vehicle in this embodiment, needs to install ADAS and DSM equipment for data acquisition and uploading. Wherein:
ADAS (Advanced Driver assistance System), referred to as ADAS for short, is an active safety technology capable of performing intelligent image analysis by using AI algorithm. The sensor mounted on the vehicle is utilized to collect environmental data inside and outside the vehicle at the first time, and technical processing such as identification, detection and tracking of static and dynamic objects is carried out to remind a driver of potential danger and report to a platform so as to prevent traffic accidents. The method mainly comprises the following steps: lane departure, front vehicle collision danger, front vehicle near distance, vehicle rollover, pedestrian collision warning, and the like.
DSM: a Driver state monitoring system (Driver Status Monitor) detects the driving behavior and the physiological state of a Driver by using the image acquired by a DSM camera through technologies such as visual tracking, target detection, motion recognition and the like, and alarms and reports to a platform within the set time of the system when the Driver is in dangerous conditions such as fatigue, distraction, call making, smoking and the like so as to avoid accidents.
In the running process of the target vehicle, an ADAS and a DSM system arranged on the vehicle work in real time and continuously acquire the driving behavior of a driver. The driving behaviors in the present embodiment are divided into two types, one is a behavior of the driver himself, and the other is a behavior of the driver operating the vehicle.
The camera in the DSM can be arranged in front of a driver to acquire image information of the driver, and whether the driver has own behaviors such as playing mobile phones, fatigue driving, distracted driving, yawning, fatigue driving and the like is obtained through image information analysis.
The ADAS system is arranged in front of the vehicle and can also collect behaviors of a driver operating the vehicle, such as lane deviation, frequent lane change and the like.
When any behavior in table 1 is detected by the two systems, the corresponding detection system reports the information, if a yawning behavior occurs, the information is sent to a vehicle controller, such as an Electronic Control Unit (ECU), and after receiving the information, the ECU reports the information to a server in the embodiment of the invention, and the server is triggered to analyze the current driving behavior to obtain a driving behavior analysis result.
TABLE 1
| Serial number | Type of current event | S value |
| 1 | Safety belt | 2 |
| 2 | Camera shelter | 1 |
| 3 | Deviated driving position | 1.5 |
| 4 | Pedestrian collision warning | 2 |
| 5 | Obstacle alarm | 1 |
| 6 | Fatigue driving | 2 |
| 7 | Yawning | 1.5 |
| 8 | Frequent lane change | 1 |
| 9 | Vehicle side turning | 3 |
| 10 | Short distance of front vehicle | 0.8 |
| 11 | Risk of collision of front vehicle | 1.5 |
| 12 | Lane offset | 0.8 |
| 13 | Fast acceleration | 1 |
| 14 | Emergency brake | 1 |
| 15 | Sharp turn | 1 |
| 16 | Smoke extraction device | 1 |
| 17 | Left look ahead | 0.8 |
| 18 | Telephone call | 1.5 |
| 19 | Playing mobile phone | 2 |
| 20 | Distracted driving | 1.5 |
It should be noted that, in table 1, 20 behaviors are given in total, each behavior is referred to as a preset driving behavior, and all the preset driving behaviors are constructed to obtain a preset driving behavior set. If any one of the preset driving behaviors occurs, the ECU reports a report result of the preset driving behavior to the server, and if the server receives the report result of the preset driving behavior reported by the ECU, the server determines that the preset driving behavior occurs in the target vehicle, and then the server analyzes the driving behavior.
That is, in the present invention, determining that the target vehicle has the preset driving behavior includes:
and determining whether a preset driving behavior reporting result sent by the target vehicle is received, and if the preset driving behavior reporting result is received, determining that the preset driving behavior occurs in the target vehicle.
Under the condition that the preset driving behavior of the target vehicle is determined, the server acquires preset analysis dimensionalities of each preset driving behavior and a determination rule of the preset analysis dimensionalities of the driving behavior.
In this embodiment, the preset driving behavior analysis dimensions (which may also be referred to as risk parameters) are classified into 5 categories, which are respectively set as S, V, T, F, N, and referring to table 2, the preset driving behavior analysis dimensions and the corresponding descriptions are as follows:
TABLE 2
The preset determination rule of the driving behavior analysis dimension is to determine dimension values corresponding to dimensions S (driving behavior dimension), V (driving speed dimension), T (driving duration dimension), F (driving behavior frequency dimension), and N (repeated driving behavior dimension), which are also referred to as scores.
Specifically, the determination rule of S is given by referring to table 1 and table 2, and when different preset driving behaviors occur, the preset driving behavior has a corresponding dimension value, that is, an S value, so in this embodiment, only table 1 needs to be referred to, that is, the S value corresponding to the occurring preset driving behavior can be determined, that is, the dimension value of the analysis dimension of the preset driving behavior is preset when the analysis dimension of the preset driving behavior is S.
Referring to table 3, the value method of the preset driving behavior analysis dimension V is specifically as follows:
TABLE 3
Referring to table 4, the value method of the preset driving behavior analysis dimension T specifically includes the following steps:
TABLE 4
| Duration interval (minutes) of continuous driving | Value of T |
| 0-60 | 1 |
| 61-120 | 1.1 |
| 121-180 | 1.2 |
| 181-210 | 1.5 |
| 211-240 | 2 |
| ＞240 | 4 |
The preset driving behavior analysis dimension F specifically refers to the total number of times of occurrence of any one of the preset driving behaviors within 30 minutes, and a corresponding score. The specific value method is shown in table 5.
TABLE 5
| Interval of event number within 30 minutes | F value |
| ≥30 | 4 |
| The number of events is more than or equal to 20 and less than 30 | 3 |
| The number of events is more than or equal to 15 and less than 20 | 2 |
| The number of events is more than or equal to 12 and less than 15 | 1.5 |
| The number of events is more than or equal to 6 and less than 12 | 1.2 |
| Driving continuously for less than 30 minutes, or the number of events is less than 6 | 1 |
The use method of the preset driving behavior analysis dimension N comprises the following steps: when the events of a specific category repeatedly occur n times within 10 minutes, the events are divided according to the number of the repeated events, the score parameters of the events of different types can be different, and the configuration is specifically carried out according to the actual scene. Referring to table 6, table 6 is an example.
TABLE 6
| Repeatedly weighted event types | Value of N |
| Distracted driving (N1) | 1.5*(n-1) |
| Mobile phone for game (N2) | 2*(n-1) |
| Fatigue driving (N3) | 1*(n-1) |
It should be noted that, when the distracted driving (N1), the cell phone playing (N2) or the fatigue driving (N3) does not occur repeatedly within 10 minutes, that is, the number N is less than or equal to 1, the value of N is considered to be zero.
And S12, acquiring the driving behavior data and the vehicle running data of the target vehicle.
Wherein the driving behavior data of the target vehicle and the vehicle driving data are uploaded to the server by the ECU. The driving behavior data of the target vehicle refers to driving behavior data of the driver.
The vehicle travel data may include a vehicle speed, a driving period, and the like. The driving time duration refers to the continuous driving time duration of the same driver. In practical application, the vehicle can analyze the driving time through face recognition and GPS positioning time data to obtain the driving time.
And S13, determining the dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data.
Specifically, the dimension value of each of the preset driving behavior analysis dimensions (S, V, T, F, N) may be determined with reference to the above-described tables 1 to 6.
And S14, analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
In another implementation manner of the present invention, step S14 may include:
1) acquiring a preset driving behavior analysis rule; the preset driving behavior analysis rule comprises an incidence relation between a driving behavior analysis result and a dimension value of each driving behavior analysis dimension.
2) And analyzing the dimension value corresponding to each driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
Specifically, the preset behavior analysis result in this embodiment is a risk level, the risk level is determined by a total risk score (score), and the specific correspondence relationship refers to table 7.
The calculation formula of the total risk score is score, V, T, F + N1+ N2+ N3, that is, the total risk score is calculated according to the dimension values of S, V, T, F, N1, N2 and N3, and then the final risk grade is determined according to the corresponding relationship between the total risk score and the risk grade, that is, table 7, so as to obtain the driving behavior analysis result.
TABLE 7
| Grade | Event rating score (Sore) |
| Height of | ≥10 |
| In | 5≤S＜10 |
| Is low with | S＜5 |
After the driving behavior analysis result is obtained, the driving behavior analysis result can be reported, and then a message prompt can be sent on terminal applications such as a mobile phone APP, a platform website and a vehicle GPS host computer, so that a user can check the report in time. In addition, the obtained driving behavior analysis result can also be returned to the ECU, and the ECU can determine the voice prompt corresponding to the driving behavior analysis result after receiving the driving behavior analysis result so as to remind the driver of safe driving. For example, when the risk level is high, voice is output, the current driving risk is high, and voice of stopping and resting is recommended.
In this embodiment, when it is determined that the preset driving behavior occurs in the target vehicle, preset analysis dimensions of the preset driving behavior and a determination rule of the preset analysis dimensions of the preset driving behavior are obtained, driving behavior data and vehicle driving data of the target vehicle are obtained, a dimension value of each preset analysis dimension of the preset driving behavior is determined based on the determination rule of the preset analysis dimensions of the preset driving behavior, the driving behavior data and the vehicle driving data, and the dimension value of each preset analysis dimension of the preset driving behavior is analyzed according to the preset analysis rule of the driving behavior to obtain a driving behavior analysis result. Compared with the mode that the driving behavior analysis result is determined only by determining whether the driving behaviors such as fatigue driving, distracted driving and the like appear in the driving process of the vehicle, the driving behavior analysis method and the driving behavior analysis system have the advantages that the driving behavior of the driver is considered, the driving data of the vehicle are also considered, when the driving behavior analysis result is determined, analysis is carried out from a plurality of preset driving behavior analysis dimensions, the consideration factors are more comprehensive, and the accuracy of the determined driving behavior analysis result is improved through the method and the system.
The above embodiment introduces that the dimension value of each preset driving behavior analysis dimension needs to be determined, and a specific determination process is introduced first. Specifically, referring to fig. 2, step S13 may include:
s21, determining a behavior dimension value corresponding to the preset driving behavior of the target vehicle, and determining the behavior dimension value as a driving behavior dimension value.
In practical application, referring to table 1, table 1 shows behavior dimension values of each preset driving behavior dimension, that is, an S value, and table 1 is looked up to determine a behavior dimension value corresponding to a preset driving behavior occurring in a target vehicle, that is, the S value.
For example, the behavior dimension value of yawning is 1.5, i.e., the S value is 1.5.
And S22, determining the vehicle speed value of the target vehicle according to the vehicle running data.
And S23, determining a vehicle speed dimension value corresponding to the vehicle speed value, and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension.
In practical application, referring to table 3, the vehicle running data includes a vehicle speed value, then according to table 3, a speed interval where the vehicle speed value is located is searched, and a vehicle speed dimension value corresponding to the speed interval is determined, that is, a V value. For example, if the vehicle speed is 35, the corresponding speed interval is 30.1-40.0, and the corresponding V value is 1.
And S24, determining the driving time length of the same driver driving the target vehicle according to the driving behavior data.
S25, determining a duration dimension value corresponding to the driving duration, and determining the duration dimension value as a dimension value of the driving duration dimension.
Specifically, the manner of determining the driving time period refers to the corresponding description of the above embodiment. Then, referring to table 4, the driving duration interval range in which the driving duration is located is determined, and a duration dimension value, that is, a T value, corresponding to the interval range is determined.
For example, the driving time is 15 minutes, the driving time is 0-60min, and the corresponding T value is 1.
And S26, determining the occurrence frequency based on the driving behavior data.
The occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver.
And S27, determining a frequency dimension value corresponding to the occurrence frequency, and determining the frequency dimension value as a dimension value of the driving behavior frequency.
The first preset time can be within 30min, that is, the sum of the times of occurrence of each preset driving behavior within 30min is counted, and then, the time dimension value corresponding to the sum of the times is determined by referring to table 5, that is, the value F is obtained.
S28, under the condition that the target vehicle has one of the specific driving behaviors of the preset driving behaviors, determining the repetition times of the preset driving behaviors within a second preset time in the continuous driving process of the driver according to the driving behavior data.
And S29, determining the repetition frequency dimension value corresponding to the repetition frequency, and determining the repetition frequency dimension value as the dimension value of the repeated driving behavior dimension.
The specific driving behaviors in this embodiment are three in table 6, namely, distraction driving (N1), cell phone playing (N2), and fatigue driving (N3). If any one of the three conditions occurs, determining the repeated times of the specific driving behavior, namely the difference between the occurrence times n and 1, namely n-1. For example, if fatigue driving occurs 3 times, the number of repetitions is 3-1 to 2.
And then determining a repetition frequency dimension value corresponding to the repetition frequency, namely an N value. Still taking 3 occurrences as an example, the corresponding value of N is 2 x (N-1). The corresponding calculation parameter value 2 is a configurable item, for example, the value N may also be set to 1.5 (N-1), 1.2 (N-1), etc., depending on the case.
It should be noted that, the order of determining the dimension values of each of the dimensions S (driving behavior dimension), V (driving speed dimension), T (driving duration dimension), F (driving behavior frequency dimension), and N (repeated driving behavior dimension) is not required, and may be executed simultaneously or sequentially according to a certain order.
As can be seen from the above, determining the dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data, and the vehicle driving data includes:
determining a behavior dimension value corresponding to a preset driving behavior of the target vehicle, and determining the behavior score as a dimension value of the driving behavior;
determining a vehicle speed value of the target vehicle according to the vehicle running data;
determining a vehicle speed dimension value corresponding to the vehicle speed value, and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and determining a duration dimension value corresponding to the driving duration, and determining the duration dimension value as a dimension value of the driving duration dimension.
Further, determining a dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data, and the vehicle driving data, further includes:
determining a number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
determining a frequency dimension value corresponding to the occurrence frequency, and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
under the condition that one of preset driving behaviors of the target vehicle is a specific driving behavior, determining the repetition times of the preset driving behavior within a second preset time in the continuous driving process of the driver according to the driving behavior data;
and determining a repetition frequency dimension value corresponding to the repetition frequency, and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior.
In the embodiment, the determination process of the dimension value of each preset driving analysis dimension is given, the whole determination process refers to the driving process of the driver and also considers the driving process of the vehicle, the accuracy of the determined dimension value is high, and the accuracy of the driving behavior analysis result obtained based on the dimension value is also high.
The above-described embodiment is the determination of one driving behavior analysis result during the running of the vehicle. Furthermore, it is also possible to analyze the driving course over the entire driving course after the driving of the target vehicle is finished.
Specifically, the driving process just before can be analyzed after the driving is finished. In addition, the driving process of the previous day can be analyzed the next day. The driving process is analyzed in which time period after the driving is finished, and the method does not make special requirements as long as the driving is finished.
Specifically, after step S14, the method may further include:
s31, determining whether the target vehicle is driven to be finished or not; if yes, go to step S32.
In practical applications, whether driving is finished may be determined by whether the flameout time of the engine is greater than a preset time threshold. Wherein, the preset time threshold value can be 3 minutes, 5 minutes and the like.
S32, determining the occurrence frequency statistical result of each preset driving behavior in the preset driving behavior set in the whole driving process of the target vehicle.
Specifically, 4 index types of alertness, sobriety, stationarity and concentration are divided according to different characteristics and influence degrees of each preset driving behavior, and in addition, independent driving duration is used as assessment workload score. Because the collected data of the driving time less than 1 hour is less, the driver with the driving time less than 1 hour in 1 day is not scored. In addition, the time average event number (number/hour) is the total number of events/driving time length.
TABLE 8
The methods for calculating the index scores of alertness, wakefulness, stationarity, concentration and workload refer to table 9.
TABLE 9
Specifically, in the whole driving process, the occurrence frequency statistical result of each preset driving behavior is determined, and the statistical result may be what preset driving behavior occurs at what time.
And S33, obtaining the driving behavior analysis result when each preset driving behavior in the preset driving behavior set appears.
Specifically, after determining what preset driving behavior occurs at which time, and acquiring the occurrence of the preset driving behavior, the server analyzes the driving behavior analysis result corresponding to the preset driving behavior, such as high risk.
S34, determining the analysis result of the whole driving process of the target vehicle based on the preset driving process analysis rule, the occurrence frequency statistical result of each preset driving behavior in the preset driving behavior set and the driving behavior analysis result.
Specifically, the calculation formulas in table 8 are used with reference to the scores in table 9 to obtain scores of 4 index types of alertness, wakefulness, stationarity, and concentration.
The calculation processes of the workload, the alertness, the wakefulness, the stationarity, and the concentration are different from each other, and specific reference is made to table 8, and the results of the calculation of the workload, the alertness, the wakefulness, the stationarity, and the concentration may be made to fig. 4. The obtained results of the workload, the vigilance degree, the wakefulness degree, the stationarity degree and the concentration degree are the analysis results of the whole driving process of the target vehicle in the embodiment, that is, the user figure of the driver of the target vehicle.
In addition, the three definitions of the degree of vigilance, the degree of wakefulness, the stability, the degree of concentration, the workload and the high, medium and low dangers in the embodiment are dimensions obtained by comprehensively analyzing various conditions of the driving process of the logistics drivers, and the algorithm dimensions are combined with a real scene, so that the defects of initial data are effectively avoided, and the real service scene is fitted. In addition, the score value in the method is verified by using a large amount of driving data, and the result reliability is high.
After the analysis result of the whole driving process is obtained, the analysis result can be used for forming a report, and then a message prompt can be sent on terminal applications such as a mobile phone APP, a platform website and a vehicle GPS host computer so that a user can check the report in time.
In this embodiment, not only can the driving behavior in the driving process be analyzed, but also the driving behavior of the whole driving process that has ended can be analyzed, the analysis dimension is diversified, and the driving analysis result of the driver can be obtained from various angles.
Alternatively, on the basis of the above embodiment of the method for determining driving behavior data, another embodiment of the present invention provides a device for determining driving behavior data, applied to a server, the device comprising:
the first data acquisition module 11 is configured to acquire preset analysis dimensions of each preset driving behavior and a determination rule of the preset analysis dimensions of the driving behavior when it is determined that the target vehicle has the preset driving behavior; the preset driving behavior is any one preset driving behavior in a preset driving behavior set;
a second data acquisition module 12, configured to acquire driving behavior data and vehicle driving data of the target vehicle;
a dimension determining module 13, configured to determine a dimension value of each preset driving behavior analysis dimension based on the determination rule of the preset driving behavior analysis dimension, the driving behavior data, and the vehicle driving data;
and the result determining module 14 is configured to analyze the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule, so as to obtain a driving behavior analysis result.
Further, the dimension determination module includes:
the first dimension determining submodule is used for determining a behavior dimension value corresponding to a preset driving behavior of the target vehicle and determining the behavior dimension value as a dimension value of the driving behavior;
the vehicle speed determining submodule is used for determining a vehicle speed value of the target vehicle according to the vehicle running data;
the second dimension determining submodule is used for determining a vehicle speed dimension value corresponding to the vehicle speed value and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
the time length determining submodule is used for determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and the third dimension determining submodule is used for determining a duration dimension value corresponding to the driving duration and determining the duration dimension value as the dimension value of the driving duration dimension.
Further, the dimension determination module further comprises:
a first number of occurrences determination sub-module for determining the number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
the fourth dimension determining submodule is used for determining a frequency dimension value corresponding to the occurrence frequency and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
the second-time determining submodule is used for determining the repetition times of the preset driving behaviors in a second preset time in the continuous driving process of the driver according to the driving behavior data under the condition that the preset driving behaviors occur in the target vehicle and are one of specific driving behaviors;
and the fifth dimension determining submodule is used for determining a repetition frequency dimension value corresponding to the repetition frequency and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior dimension.
Further, the first data obtaining module 11 is configured to, when determining that the preset driving behavior occurs in the target vehicle, specifically:
and determining whether a preset driving behavior reporting result sent by the target vehicle is received, and if the preset driving behavior reporting result is received, determining that the preset driving behavior occurs in the target vehicle.
Further, the result determining module 14 is specifically configured to:
acquiring a preset driving behavior analysis rule; the preset driving behavior analysis rule comprises an incidence relation between a driving behavior analysis result and a dimension value of each driving behavior analysis dimension;
and analyzing the dimension value corresponding to each driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
Further, still include:
a driving end determination module for determining whether the driving of the target vehicle is ended;
the result counting module is used for determining the occurrence frequency counting result of each preset driving behavior in the preset driving behavior set in the whole driving process of the target vehicle after the driving is determined to be finished;
the analysis result acquisition module is used for acquiring a driving behavior analysis result when each preset driving behavior in the preset driving behavior set appears;
and the analysis result determination module is used for determining the analysis result of the whole driving process of the target vehicle based on a preset driving process analysis rule, the occurrence frequency statistical result of each preset driving behavior in the preset driving behavior set and the driving behavior analysis result.
In this embodiment, when it is determined that the preset driving behavior occurs in the target vehicle, preset analysis dimensions of the preset driving behavior and a determination rule of the preset analysis dimensions of the preset driving behavior are obtained, driving behavior data and vehicle driving data of the target vehicle are obtained, a dimension value of each preset analysis dimension of the preset driving behavior is determined based on the determination rule of the preset analysis dimensions of the preset driving behavior, the driving behavior data and the vehicle driving data, and the dimension value of each preset analysis dimension of the preset driving behavior is analyzed according to the preset analysis rule of the driving behavior to obtain a driving behavior analysis result. Compared with the mode that the driving behavior analysis result is determined only by determining whether the driving behaviors such as fatigue driving, distracted driving and the like appear in the driving process of the vehicle, the driving behavior analysis method and the driving behavior analysis system have the advantages that the driving behavior of the driver is considered, the driving data of the vehicle are also considered, when the driving behavior analysis result is determined, analysis is carried out from a plurality of preset driving behavior analysis dimensions, the consideration factors are more comprehensive, and the accuracy of the determined driving behavior analysis result is improved through the method and the system.
It should be noted that, for the working processes of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A determination method of driving behavior data is applied to a server, and the determination method comprises the following steps:
under the condition that the preset driving behavior of the target vehicle is determined, acquiring preset analysis dimensionality of each preset driving behavior and a determination rule of the preset analysis dimensionality of the driving behavior; the preset driving behavior is any one preset driving behavior in a preset driving behavior set;
acquiring driving behavior data and vehicle driving data of the target vehicle;
determining a dimension value of each preset driving behavior analysis dimension based on a determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data;
and analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
2. The determination method according to claim 1, wherein determining the dimension value of each of the preset driving behavior analysis dimensions based on the determination rule of the preset driving behavior analysis dimensions, the driving behavior data, and the vehicle travel data comprises:
determining a behavior dimension value corresponding to a preset driving behavior appearing in the target vehicle, and determining the behavior score as a dimension value of the driving behavior dimension;
determining a vehicle speed value of the target vehicle according to the vehicle running data;
determining a vehicle speed dimension value corresponding to the vehicle speed value, and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and determining a duration dimension value corresponding to the driving duration, and determining the duration dimension value as a dimension value of the driving duration dimension.
3. The determination method according to claim 2, wherein determining the dimension value of each of the preset driving behavior analysis dimensions based on the determination rule of the preset driving behavior analysis dimensions, the driving behavior data, and the vehicle travel data, further comprises:
determining a number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
determining a frequency dimension value corresponding to the occurrence frequency, and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
under the condition that one of preset driving behaviors of the target vehicle is a specific driving behavior, determining the repetition times of the preset driving behavior within a second preset time in the continuous driving process of the driver according to the driving behavior data;
and determining a repetition frequency dimension value corresponding to the repetition frequency, and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior.
4. The method of claim 1, wherein determining that the target vehicle exhibits the predetermined driving behavior comprises:
determining whether a preset driving behavior reporting result sent by a target vehicle is received;
and if the report result of the preset driving behavior is received, determining that the preset driving behavior occurs in the target vehicle.
5. The determination method according to claim 1, wherein analyzing the dimension value of each of the preset driving behavior analysis dimensions according to a preset driving behavior analysis rule to obtain a driving behavior analysis result comprises:
acquiring a preset driving behavior analysis rule; the preset driving behavior analysis rule comprises an incidence relation between a driving behavior analysis result and a dimension value of each driving behavior analysis dimension;
and analyzing the dimension value corresponding to each driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
6. The determination method according to claim 1, wherein after analyzing the dimension value of each of the preset driving behavior analysis dimensions according to a preset driving behavior analysis rule to obtain a driving behavior analysis result, the method further comprises:
determining whether the target vehicle is driving over;
after the driving is determined to be finished, determining the occurrence frequency statistical result of each preset driving behavior in the preset driving behavior set in the whole driving process of the target vehicle;
obtaining a driving behavior analysis result when each preset driving behavior in the preset driving behavior set appears;
and determining an analysis result of the whole driving process of the target vehicle based on a preset driving process analysis rule, a statistical result of the occurrence times of each preset driving behavior in the preset driving behavior set and a driving behavior analysis result.
7. A device for determining driving behavior data, applied to a server, comprising:
the system comprises a first data acquisition module, a second data acquisition module and a control module, wherein the first data acquisition module is used for acquiring preset analysis dimensionalities of each preset driving behavior and a determination rule of the preset analysis dimensionality of the driving behavior under the condition that the preset driving behavior of a target vehicle is determined; the preset driving behavior is any one preset driving behavior in a preset driving behavior set;
the second data acquisition module is used for acquiring the driving behavior data and the vehicle running data of the target vehicle;
the dimension determining module is used for determining a dimension value of each preset driving behavior analysis dimension based on a determination rule of the preset driving behavior analysis dimension, the driving behavior data and the vehicle driving data;
and the result determining module is used for analyzing the dimension value of each preset driving behavior analysis dimension according to a preset driving behavior analysis rule to obtain a driving behavior analysis result.
8. The determination apparatus of claim 7, wherein the dimension determination module comprises:
the first dimension determining submodule is used for determining a behavior dimension value corresponding to a preset driving behavior of the target vehicle and determining the behavior dimension value as a dimension value of the driving behavior;
the vehicle speed determining submodule is used for determining a vehicle speed value of the target vehicle according to the vehicle running data;
the second dimension determining submodule is used for determining a vehicle speed dimension value corresponding to the vehicle speed value and determining the vehicle speed dimension value as a dimension value of a driving vehicle speed dimension;
the time length determining submodule is used for determining the driving time length of the same driver driving the target vehicle according to the driving behavior data;
and the third dimension determining submodule is used for determining a duration dimension value corresponding to the driving duration and determining the duration dimension value as the dimension value of the driving duration dimension.
9. The determination apparatus of claim 8, wherein the dimension determination module further comprises:
a first number of occurrences determination sub-module for determining the number of occurrences based on the driving behavior data; the occurrence frequency is the sum of the occurrence frequency of each preset driving behavior in the preset driving behavior set within a first preset time in the continuous driving process of the driver;
the fourth dimension determining submodule is used for determining a frequency dimension value corresponding to the occurrence frequency and determining the frequency dimension value as a dimension value of a driving behavior frequency dimension;
the second-time determining submodule is used for determining the repetition times of the preset driving behaviors in a second preset time in the continuous driving process of the driver according to the driving behavior data under the condition that the preset driving behaviors occur in the target vehicle and are one of specific driving behaviors;
and the fifth dimension determining submodule is used for determining a repetition frequency dimension value corresponding to the repetition frequency and determining the repetition frequency dimension value as a dimension value of the repeated driving behavior dimension.
10. The determination device according to claim 7, wherein the first data acquisition module is configured to, when determining that the target vehicle has the preset driving behavior, specifically:
and determining whether a preset driving behavior reporting result sent by the target vehicle is received, and if the preset driving behavior reporting result is received, determining that the preset driving behavior occurs in the target vehicle.
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