CN113379945A - Vehicle driving behavior analysis device, method and system - Google Patents
Vehicle driving behavior analysis device, method and system Download PDFInfo
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- CN113379945A CN113379945A CN202110845698.7A CN202110845698A CN113379945A CN 113379945 A CN113379945 A CN 113379945A CN 202110845698 A CN202110845698 A CN 202110845698A CN 113379945 A CN113379945 A CN 113379945A
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- G07C5/00—Registering or indicating the working of vehicles
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- G07C5/00—Registering or indicating the working of vehicles
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Abstract
The invention discloses a vehicle driving behavior analysis device, method and system, comprising: the vehicle-mounted terminal data acquisition system comprises a storage module, a multi-source data preprocessing module, a multi-source data fusion module, a driving behavior calculation module and a driving behavior scoring module, wherein the storage module, the multi-source data preprocessing module, the multi-source data fusion module, the driving behavior calculation module and the driving behavior scoring module are used for preprocessing the vehicle-mounted terminal data and then fusing the preprocessed vehicle-mounted terminal data according to different time to generate multi-dimensional data of a vehicle at the same moment, the multi-dimensional data at the same moment are arranged, recombined and restored to the driving behavior data of the vehicle according to a time sequence, then the arranged and recombined multi-dimensional data at the same moment are analyzed and scored, and finally the comprehensive scoring of the driving behavior of the vehicle is obtained; the method is accurate in analysis, and error superposition data staggered due to time period comprehensive analysis is avoided.
Description
Technical Field
The invention relates to the technical field of big data and Internet of vehicles, in particular to a device, a method and a system for analyzing driving behaviors of vehicles.
Background
Research shows that most traffic accidents are caused by illegal operations, and the driving behavior of a driver is the decisive factor of traffic safety. If the historical driving behaviors of the driver in the vehicle journey can be analyzed through technical means, the current and future driving behaviors of the driver can be regulated, and traffic accidents caused by the driving behaviors are avoided.
However, the conventional vehicle driving behavior analysis apparatus and method collect vehicle driving data within a period of time, analyze the driving data within the period of time, determine a dangerous driving behavior event occurring within the period of time, and generate a driving behavior evaluation result by using a driving behavior analysis model according to the dangerous driving behavior event occurring within the period of time. Therefore, minute behavior events originally distributed discretely in the time period are analyzed to be converged high-risk driving behaviors, or a plurality of driving behaviors distributed at a plurality of time points which are not related at all are combined to be the high-risk driving behaviors at a certain time point, the analysis method is that various types of data in a time period are analyzed according to categories and then are pieced together again according to time, for example, the torque, the engine oil temperature, the coolant temperature, the opening and closing times of an accelerator pedal and the like in a certain day are analyzed respectively and then are combined to be the integral data of the day. Obviously, the way of analyzing the data in a certain period of time uniformly often results in great distortion and additional interference of the finally pieced data due to the fact that there is no effective whole segmentation data.
Therefore, how to better divide specific behaviors in the driving behaviors of the vehicle and more truly restore and analyze the specific behaviors becomes a great problem in the analysis of the driving behaviors of the vehicle.
Disclosure of Invention
The invention provides a device for analyzing all data of a vehicle at the moment according to the time point, so as to restore, combine and completely reproduce driving data at the time point, and further accurately analyze the driving behavior of the vehicle.
The invention provides a vehicle driving behavior analysis device, comprising: the vehicle-mounted terminal comprises a storage module for collecting data, a multi-source data preprocessing module, a multi-source data fusion module, a driving behavior calculation module and a driving behavior grading module;
the storage module of the data collected by the vehicle-mounted terminal is used for storing the original data collected by the vehicle-mounted terminal, wherein the original data comprises switching value, pulse, CAN and GPS data; the standardized format for acquiring the switching value data comprises the following steps: terminal number | data time |0000110010011010100000000111000000000000000000001010000000000000, where 0 indicates the switch is closed and 1 indicates the switch is open; the standardized format for pulse data acquisition includes: a terminal number | data time | pulse vehicle speed | pulse mileage | total number of pulses | pulse rotating speed, and the like; the standardized format for CAN data acquisition includes: terminal number | data time | torque | engine oil temperature | coolant temperature | accelerator pedal opening, etc.; the standardized format for GPS data acquisition includes: terminal number | data time | longitude and latitude | altitude, etc.;
the multi-source data preprocessing module is used for analyzing, filtering and converting the original data stored by the storage module of the data acquired by the vehicle-mounted terminal so as to acquire standardized format data;
the multi-source data fusion module is used for fusing the standardized format data of different sources acquired after the multi-source data preprocessing module processes the data according to a time window so as to generate multi-dimensional data of the vehicle at the same moment; wherein, the data format includes: a terminal number | data time | torque | engine oil temperature | coolant temperature | accelerator pedal opening | longitude and latitude | altitude |0000110010011010100000000111000000000000000000001010000000000000| pulse vehicle speed | pulse mileage | pulse total | pulse rotational speed;
the driving behavior calculation module is used for calculating and obtaining vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated by the multi-source data fusion module at the same moment;
and the driving behavior scoring module is used for calculating the comprehensive score of the driving behavior of the vehicle according to the driving behavior data of the vehicle calculated by the driving behavior calculating module and the weights of different driving behaviors.
Preferably, the storage module for the data collected by the vehicle-mounted terminal stores the data collected by the vehicle-mounted terminal by using an Hbase database.
Preferably, the driving behavior calculation module calculates the number of times and duration of the driving behavior of the vehicle by analyzing the characteristics of the driving behavior.
Preferably, the driving behavior characteristics include rapid acceleration, rapid deceleration, accelerator pressing, long-time braking, fatigue driving, overspeed, neutral sliding and large accelerator.
The invention also discloses a vehicle driving behavior analysis method, which comprises the following steps:
step 1, storing data acquired by a vehicle-mounted terminal, and storing original data of switching value, pulse, CAN and GPS by using an Hbase database;
step 2, multi-source data preprocessing, namely analyzing, filtering and converting the original data acquired in the step 1 to acquire standardized format data;
step 3, multi-source data fusion, namely fusing the standardized format data of different sources in the step 2 according to a time window, and further generating multi-dimensional data of the vehicles at the same moment;
step 4, calculating driving behaviors, namely calculating to obtain vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated in the step 3 at the same time;
and 5, scoring the driving behaviors, namely calculating the comprehensive score of the driving behaviors of the vehicle according to the weight, the frequency and the proportion of the duration of different driving behaviors through the driving behavior data of the vehicle obtained in the step 4.
Preferably, in the step 5, the minimum value, the first quartile, the third quartile and the maximum value of each driving behavior are counted through boxplot analysis; and calculating the comprehensive score of the driving behaviors of the vehicle according to the weights, times and time of different driving behaviors.
Preferably, in the step 5, the vehicle driving behavior composite score is SUM (the number of times of a certain driving behavior corresponds to the weight of the number of times of the driving behavior + the duration of the certain driving behavior corresponds to the weight of the duration of the driving behavior).
The invention also discloses a vehicle driving behavior analysis system which comprises the vehicle driving behavior analysis device.
The invention has the beneficial effects that:
the vehicle-mounted terminal data are preprocessed and then fused according to different time points, so that multidimensional data of a vehicle at the same time point are generated, the multidimensional data at the same time point are arranged, recombined and restored to driving behavior data of the vehicle at the time point according to a time sequence, the multidimensional data at the time point are analyzed and graded, and finally comprehensive grading of the driving behavior of the vehicle is obtained. Therefore, the invention carries out reduction combination according to the time point, completely reproduces the driving behavior in the vehicle driving according to the time sequence, and avoids the phenomenon that the last spliced data generates great distortion and additional interference because the traditional analysis device and method do not have effective integral divided data, so the invention has accurate analysis and does not generate error superposition data staggered and staggered due to the time period comprehensive analysis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments of the present invention or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a structural diagram of a driving behavior analyzing apparatus for a vehicle according to the present invention;
FIG. 2 is a logic decision flow diagram of a multi-source data fusion module of the present invention;
FIG. 3 is a flow chart of the large throttle logic determination in driving behavior of the present invention;
fig. 4 shows the driver score distribution.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
In the description of the embodiments of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have specific orientations, be configured in specific orientations, and operate, and thus, should not be construed as limiting the present invention. The terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, the terms "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations.
As shown in fig. 1 to 4, the present invention provides a vehicle driving behavior analysis device including: the vehicle-mounted terminal comprises a storage module for collecting data, a multi-source data preprocessing module, a multi-source data fusion module, a driving behavior calculation module and a driving behavior grading module;
the storage module of the data collected by the vehicle-mounted terminal is used for storing the original data collected by the vehicle-mounted terminal, wherein the original data comprises switching value, pulse, CAN and GPS data; the standardized format for acquiring the switching value data comprises the following steps: terminal number | data time |0000110010011010100000000111000000000000000000001010000000000000, where 0 indicates the switch is closed and 1 indicates the switch is open; the standardized format for pulse data acquisition includes: a terminal number | data time | pulse vehicle speed | pulse mileage | total number of pulses | pulse rotating speed, and the like; the standardized format for CAN data acquisition includes: terminal number | data time | torque | engine oil temperature | coolant temperature | accelerator pedal opening, etc.; the standardized format for GPS data acquisition includes: terminal number | data time | longitude and latitude | altitude, etc.;
the multi-source data preprocessing module is used for analyzing, filtering and converting the original data stored by the storage module of the data acquired by the vehicle-mounted terminal so as to acquire standardized format data;
the multi-source data fusion module is used for fusing the standardized format data of different sources acquired after the multi-source data preprocessing module processes the data according to a time window so as to generate multi-dimensional data of the vehicle at the same moment; wherein, the data format includes: a terminal number | data time | torque | engine oil temperature | coolant temperature | accelerator pedal opening | longitude and latitude | altitude |0000110010011010100000000111000000000000000000001010000000000000| pulse vehicle speed | pulse mileage | pulse total | pulse rotational speed;
the driving behavior calculation module is used for calculating and obtaining vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated by the multi-source data fusion module at the same moment;
and the driving behavior scoring module is used for calculating the comprehensive score of the driving behavior of the vehicle according to the driving behavior data of the vehicle calculated by the driving behavior calculating module and the weights of different driving behaviors.
Further, the storage module for the data collected by the vehicle-mounted terminal stores the data collected by the vehicle-mounted terminal by using an Hbase database.
Further, the driving behavior calculation module calculates the times and duration of the driving behaviors of the vehicle by analyzing the characteristics of the driving behaviors.
Further, the driving behavior characteristics include rapid acceleration, rapid deceleration, accelerator tip-in, long-time braking, fatigue driving, overspeed, neutral coasting, and throttle tip-in.
The invention also discloses a vehicle driving behavior analysis method, which comprises the following steps:
step 1, storing data acquired by a vehicle-mounted terminal, and storing original data of switching value, pulse, CAN and GPS by using an Hbase database;
step 2, multi-source data preprocessing, namely analyzing, filtering and converting the original data acquired in the step 1 to acquire standardized format data;
step 3, multi-source data fusion, namely fusing the standardized format data of different sources in the step 2 according to a time window, and further generating multi-dimensional data of the vehicles at the same moment;
step 4, calculating driving behaviors, namely calculating to obtain vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated in the step 3 at the same time;
and 5, scoring the driving behaviors, namely calculating the comprehensive score of the driving behaviors of the vehicle according to the weight, the frequency and the proportion of the duration of different driving behaviors through the driving behavior data of the vehicle obtained in the step 4.
Further, in the step 5, the minimum value, the first quartile, the third quartile and the maximum value of various driving behaviors are calculated through boxplot analysis; and calculating the comprehensive score of the driving behaviors of the vehicle according to the weights and times of different driving behaviors.
Further, in step 5, the vehicle driving behavior composite score is SUM (the number of times of a certain driving behavior corresponds to the weight of the number of times of the driving behavior + the duration of the certain driving behavior corresponds to the weight of the duration of the driving behavior).
The invention also discloses a vehicle driving behavior analysis system which comprises the vehicle driving behavior analysis device.
Examples
In this embodiment, the corresponding driving behaviors are classified and calculated according to the characteristic indexes, weights and scoring criteria of the driving behaviors, and the specific data is listed in table 1:
TABLE 1
In summary, according to the device, the method and the system for analyzing the driving behavior of the vehicle, the data collected by the vehicle-mounted terminal are preprocessed and then fused according to different times, so that multidimensional data of the vehicle at the same time point are generated, and the multidimensional data at the same time point are arranged, recombined and restored to the driving behavior data of the vehicle according to the time sequence, so that the analyzed data have high correlation at the time point, and the analyzed data have higher authenticity and correlation; the method has accurate analysis, and error superposition data staggered caused by time period comprehensive analysis can not be generated, so the method has wide application prospect.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above examples are only for illustrating the technical solutions of the present invention, and are not to be construed as limiting the present invention; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the present invention.
Claims (8)
1. A vehicle driving behavior analysis device characterized by comprising: the vehicle-mounted terminal comprises a storage module for collecting data, a multi-source data preprocessing module, a multi-source data fusion module, a driving behavior calculation module and a driving behavior grading module;
the storage module of the data collected by the vehicle-mounted terminal is used for storing original data collected by the vehicle-mounted terminal, wherein the original data comprises switching value, pulse, CAN and GPS data;
the multi-source data preprocessing module is used for analyzing, filtering and converting the original data stored by the storage module of the data acquired by the vehicle-mounted terminal so as to acquire standardized format data;
the multi-source data fusion module fuses the standardized format data of different sources acquired after the multi-source data preprocessing module processes the standardized format data according to a time window, and further generates multi-dimensional data of the vehicles at the same moment;
the driving behavior calculation module is used for calculating and obtaining vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated by the multi-source data fusion module at the same moment;
and the driving behavior scoring module is used for calculating the comprehensive score of the driving behavior of the vehicle according to the driving behavior data of the vehicle calculated by the driving behavior calculating module and the weights of different driving behaviors.
2. The vehicle driving behavior analysis device according to claim 1, wherein the data collected by the vehicle-mounted terminal is stored in the Hbase database by the data storage module.
3. The vehicle driving behavior analysis device according to claim 1, wherein the driving behavior calculation module calculates the number and duration of the driving behaviors of the vehicle by analyzing the characteristics of the driving behaviors.
4. A vehicle driving behavior analysis apparatus according to claim 3, wherein the driving behavior characteristics include rapid acceleration, rapid deceleration, accelerator tip-in, prolonged braking, fatigue driving, excessive speed, neutral coasting, and heavy throttle.
5. An analysis method of the vehicle driving behavior analysis apparatus according to any one of claims 1 to 4, characterized by comprising the steps of:
step 1, storing data acquired by a vehicle-mounted terminal, and storing original data of switching value, pulse, CAN and GPS by using an Hbase database;
step 2, multi-source data preprocessing, namely analyzing, filtering and converting the original data acquired in the step 1 to acquire standardized format data;
step 3, multi-source data fusion, namely fusing the standardized format data of different sources in the step 2 according to a time window, and further generating multi-dimensional data of the vehicles at the same moment;
step 4, calculating driving behaviors, namely calculating to obtain vehicle driving behavior data formed by combining multi-dimensional data at each time point on continuous time points by analyzing the multi-dimensional data of the vehicle generated in the step 3 at the same time;
and 5, scoring the driving behaviors, namely calculating the comprehensive score of the driving behaviors of the vehicle according to the weight, the frequency and the proportion of the duration of different driving behaviors through the driving behavior data of the vehicle obtained in the step 4.
6. The vehicle driving behavior analysis method according to claim 5, wherein in the step 5, the minimum value, the first quartile, the third quartile and the maximum value of various driving behaviors are calculated through analysis; and calculating the comprehensive score of the driving behaviors of the vehicle according to the weights and times of different driving behaviors.
7. The method according to claim 5, wherein in the step 5, the vehicle driving behavior composite score is SUM (the number of times of a certain driving behavior corresponds to the weight of the number of times of the driving behavior + the duration of the certain driving behavior corresponds to the weight of the duration of the driving behavior).
8. A vehicle driving behavior analysis system characterized by comprising the vehicle driving behavior analysis device according to any one of claims 1 to 4.
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| CN117171701B (en) * | 2023-08-14 | 2024-05-14 | 陕西天行健车联网信息技术有限公司 | Vehicle running data processing method, device, equipment and medium |
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