CN106781450B - A kind of traffic data processing method and device - Google Patents

A kind of traffic data processing method and device Download PDF

Info

Publication number
CN106781450B
CN106781450B CN201510802598.0A CN201510802598A CN106781450B CN 106781450 B CN106781450 B CN 106781450B CN 201510802598 A CN201510802598 A CN 201510802598A CN 106781450 B CN106781450 B CN 106781450B
Authority
CN
China
Prior art keywords
driver
illegal activities
ratio
occur
traffic accident
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510802598.0A
Other languages
Chinese (zh)
Other versions
CN106781450A (en
Inventor
沈健刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
Original Assignee
Alibaba Group Holding Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN201510802598.0A priority Critical patent/CN106781450B/en
Publication of CN106781450A publication Critical patent/CN106781450A/en
Application granted granted Critical
Publication of CN106781450B publication Critical patent/CN106781450B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

This application involves field of computer technology more particularly to a kind of traffic data processing methods and device, to achieve the purpose that there is a situation where traffic accidents to predict in the future to driver by carrying out analysis to traffic violation.In this application, illegal traffic data of the server based on acquisition, determine the corresponding characteristic parameter relevant to traffic accident of each illegal activities in a variety of illegal activities, for the driver that illegal activities occur, the corresponding characteristic parameter of each illegal activities occurred according to the driver, safe score of the driver in terms of traffic accident is determined, to achieve the purpose that there is a situation where traffic accidents to predict in the future to driver.

Description

A kind of traffic data processing method and device
Technical field
This application involves field of computer technology more particularly to a kind of traffic data processing methods and device.
Background technique
With increasing for road vehicles, there is a situation where traffic accidents to become more and more by driver.Traffic control department is generally logical It crosses and traffic violation is recorded and is handled, to realize the prevention and control to traffic accident.Here traffic accident refers to vehicle On road because mistake or it is unexpected caused by the event of personal injury or property loss, violate traffic control rules with driver Illegal activities are different.
Traffic control department to the processing mode of traffic violation generally by artificially illegal activities are sorted out, example Such as it is divided into the traffic violation of general traffic violation, serious traffic violation, especially severe;Or pass through through The mode tested carries out different deduction processing, such as 50% or more 200 points of button of hypervelocity, the reverse driving button 100 on highway road Point, 20 points of smoking button etc. of driving.
Above-mentioned processing mode is only controlled for illegal activities merely, and this simple processing mode can not be to driver There is a situation where traffic accidents to be predicted in the future, is also just difficult to the accident rate from substantial control driver, such as more than deduction of points The probability of traffic accident not necessarily occurs for driver with regard to big.
As it can be seen that the mode of existing processing traffic violation is unable to reach, to driver, there is a situation where traffic accidents in the future The purpose predicted.
Summary of the invention
The embodiment of the present application provides a kind of traffic data processing method and device, to by carrying out to traffic violation Analysis achievees the purpose that there is a situation where traffic accidents to predict in the future to driver.
The embodiment of the present application provides a kind of traffic data processing method, comprising:
Server obtains illegal traffic data;The illegal traffic data includes the illegal activities that multiple drivers occur respectively And wherein whether each driver occurs the information of traffic accident for instruction;
The illegal traffic data based on acquisition determines that each illegal activities is corresponding in a variety of illegal activities Characteristic parameter;
For the driver that illegal activities occur, each illegal row in at least one illegal activities occurred according to the driver For the corresponding characteristic parameter, safe score of the driver in terms of traffic accident is determined.
Optionally, the illegal traffic data based on acquisition determines each illegal activities point in a variety of illegal activities Not corresponding characteristic parameter, comprising:
The illegal traffic data based on acquisition determines that each illegal activities is corresponding in a variety of illegal activities Characteristic;The corresponding characteristic of any one of them illegal activities includes: that the illegal activities do not occur and traffic thing does not occur Therefore driver's number, the illegal activities do not occur but traffic accident has occurred driver's number, the illegal activities have occurred but do not occur Driver's number of traffic accident has occurred the illegal activities and driver's number of traffic accident has occurred;
According to the corresponding characteristic of each illegal activities, the corresponding Security Proof power of the illegal activities is determined Weight, using the Security Proof power weight as the characteristic parameter.
Optionally, according to the corresponding characteristic of each illegal activities, the corresponding safety of the illegal activities is determined Property proof weight, comprising:
According to the illegal activities do not occur and do not occur driver's number of traffic accident and driver's number of traffic accident not occurring Between the first ratio, and do not occur the illegal activities but have occurred traffic accident driver's number and traffic accident has occurred The second ratio between driver's number determines the third ratio between first ratio and the second ratio;
According to the illegal activities occur but do not occur driver's number of traffic accident with do not occur traffic accident driver's number it Between the 4th ratio, and the illegal activities occur and have occurred driver's number of traffic accident and the driver of traffic accident to have occurred The 5th ratio between number determines the 6th ratio between the 4th ratio and the 5th ratio;
According to the third ratio and the 6th ratio, the corresponding Security Proof power weight of the illegal activities is determined.
Optionally, according to the third ratio and the 6th ratio, the corresponding Security Proof power power of illegal activities i is determined Weight, comprising:
According to formula W OEisumi(WOE0i+WOE1i) determine the corresponding Security Proof power weight of illegal activities i WOEisum
Wherein, WOE0i=lnN1, N1 are the third ratio, WOE1i=lnN2, N2 are the 6th ratio, αiIt is illegal The weight factor of behavior i.
Optionally, the corresponding Security Proof power weight of each illegal activities occurred according to driver, determining should Safe score of the driver in terms of traffic accident, comprising:
Determine the driver occur the corresponding Security Proof power weight of each illegal activities and value WOEsum
According to preset score value section, to WOEsumLogical conversion processing is carried out, is obtained in the preset score value section Safe score.
Optionally, the method also includes:
Safe score in preset score value section is divided into multiple score shelves;
For each score shelves of division, according to driver's number of the generation traffic accident in the score shelves and in the score Driver's sum in shelves, determines the corresponding accident rate of score shelves.
On the other hand, the embodiment of the present application provides a kind of traffic data processing apparatus, comprising:
Receiving module, for obtaining illegal traffic data;The illegal traffic data includes that multiple drivers occur respectively Wherein whether each driver occurs the information of traffic accident for illegal activities and instruction;
First determining module determines each in a variety of illegal activities for the illegal traffic data based on acquisition The corresponding characteristic parameter of illegal activities;
Second determining module, for for the driver that illegal activities occur, at least one occurred according to the driver to be illegal The corresponding characteristic parameter of each illegal activities in behavior determines safety of the driver in terms of traffic accident point Value.
In the embodiment of the present application, illegal traffic data of the server based on acquisition determines each in a variety of illegal activities The corresponding characteristic parameter relevant to traffic accident of illegal activities, for the driver that illegal activities occur, according to the driver The corresponding characteristic parameter of each illegal activities occurred determines safety of the driver in terms of traffic accident point Value, to achieve the purpose that there is a situation where traffic accidents to predict in the future to driver.
Detailed description of the invention
Fig. 1 is the traffic data processing method flow chart that the embodiment of the present application one provides;
Fig. 2 is the traffic data processing method flow chart that the embodiment of the present application two provides;
Fig. 3 is the traffic data processing method flow chart that the embodiment of the present application three provides;
Fig. 4 is traffic data processing apparatus structural schematic diagram provided by the embodiments of the present application.
Specific embodiment
In the embodiment of the present application, server is after obtaining illegal traffic data, the illegal traffic data based on acquisition, determines The corresponding characteristic parameter of each illegal activities in a variety of illegal activities;For the driver that illegal activities occur, according to this The corresponding characteristic parameter of each illegal activities at least one illegal activities that driver occurs, determines the driver in traffic Safe score in terms of accident.Driver can be measured using the safe score, and there is a situation where traffic accidents in the future, to reach The purpose of traffic accident occurs in the future to prediction driver.
Above-mentioned treatment process can be completed by possessing the traffic control department server of illegal traffic data;It can also be by traffic control After illegal traffic data is sent to the server of other mechanisms by department, after being responsible for analysis processing by the server of other mechanisms, Processing result is fed back into traffic control department;For example, it may be main strategies platform, main strategies platform from traffic control department that Illegal traffic data is obtained, is analyzed and processed using the application, the prediction result of the traffic accident of each driver is fed back to Traffic control department, alternatively, processing result to be supplied to the function of user query by the approach such as webpage or application.
The embodiment of the present application is described in further detail with reference to the accompanying drawings of the specification.
Embodiment one
As shown in Figure 1, the traffic data processing method flow chart provided for the embodiment of the present application one, comprising the following steps:
S101: server obtains illegal traffic data;The illegal traffic data include multiple drivers occur respectively disobey Wherein whether each driver occurs the information of traffic accident for judicial act and instruction.
In specific implementation, illegal activities can be identified using illegal code, different illegal activities correspond to different Illegal code.For example, the illegal activities made a dash across the red light correspond to illegal code 0, on highway road reverse driving illegal activities pair The illegal activities of illegal code 1, smoking of driving are answered to correspond to illegal code 2 etc..
S102: the illegal traffic data based on acquisition determines that each illegal activities is distinguished in a variety of illegal activities Corresponding characteristic parameter.
In specific implementation, the characteristic parameter can be risk proof weight or Security Proof power weight.If For risk proof weight, then the weighted value is higher, indicates that the risk that traffic accident occurs is bigger, if Security Proof Power weight, then the weighted value is higher, indicates that the risk that traffic accident occurs is smaller.It can be according to the driver that traffic accident occurs The illegal activities generally occurred, to determine the risk proof weight of each illegal activities, or according to traffic thing does not occur Therefore driver generally there is no illegal activities, to determine the Security Proof power weight of each illegal activities.For safety Property proof weight will further provide preferred method of determination in the embodiment of the present application two.
S103: for the driver that illegal activities occur, each in at least one illegal activities occurred according to the driver The corresponding characteristic parameter of illegal activities, determines safe score of the driver in terms of traffic accident.
In specific implementation, the risk proof committed unlawful acts that the safe score can occur with the driver Weight and be worth it is inversely proportional, or can with the driver occur the Security Proof power weight committed unlawful acts and value at Direct proportion.In the application preferred embodiment, gives by carrying out logical conversion processing, obtain in default score value section The processing mode of interior safe score.The description of detailed in Example two.
Embodiment two
As shown in Fig. 2, the traffic data processing method flow chart provided for the embodiment of the present application two, comprising the following steps:
S201: server obtains illegal traffic data;The illegal traffic data include multiple drivers occur respectively disobey Wherein whether each driver occurs the information of traffic accident for judicial act and instruction.
S202: the illegal traffic data of the server based on acquisition determines the illegal row of each in a variety of illegal activities For corresponding characteristic;The corresponding characteristic of any one of them illegal activities include: do not occur the illegal activities and Driver's number of traffic accident does not occur, the illegal activities do not occur but traffic accident has occurred driver's number, that this has occurred is illegal Behavior but driver's number of traffic accident does not occur, the illegal activities have occurred and driver's number of traffic accident has occurred;
It, can be with based on the illegal activities that each driver occurs and the statistics that traffic accident whether occurs in the step Obtain the four category feature data for each illegal activities.As shown in following table one.
Table one
In above-mentioned table one, illegal code i corresponds to illegal activities i, and illegal row does not occur for 0 expression that illegal code i mono- is arranged It for i, 1 indicates that illegal activities i has occurred, traffic accident does not occur in 0 expression for whether column of accident one occur, 1 indicates to have occurred Traffic accident is based on this, in the column of driver's number one, Ni00Illegal activities i does not occur and does not occur the driver of traffic accident for expression Number, Ni01It indicates that illegal activities i does not occur but driver's number of traffic accident, Ni has occurred10Illegal activities i but not has occurred in expression There is driver's number of traffic accident, Ni11It indicates that illegal activities i has occurred and driver's number of traffic accident has occurred.
S203: according to the corresponding characteristic of each illegal activities, the corresponding safety of the illegal activities is determined Proof weight (Weight of Evidence, WOE).
It in the specific implementation process, can be based on illegal activities i occur and does not occur driver's number Ni of traffic accident00With Illegal activities i does not occur but driver's number Ni of traffic accident has occurred01Between ratio, and do not occur traffic in all samples Driver's number (Ni of accident00+Ni10) with driver's number (Ni of traffic accident has occurred10+Ni11) between ratio difference, and, Illegal activities i has occurred but does not occur driver's number Ni of traffic accident10With illegal activities i has occurred and traffic accident has occurred Driver's number Ni11Between ratio, and do not occur driver's number (Ni of traffic accident in all samples00+Ni10) with handed over Driver's number (Ni of interpreter's event10+Ni11) between ratio difference, to measure the Security Proof power weight.
Specifically includes the following steps:
Step a: according to the illegal activities do not occur and do not occur traffic accident driver's number and traffic accident does not occur The first ratio between driver's number, and the illegal activities do not occur but driver's number of traffic accident has occurred and traffic has occurred The second ratio between driver's number of accident determines the third ratio between first ratio and the second ratio.
In conjunction with table one, the first ratio is Ni00/(Ni00+Ni10), the second ratio is Ni01/(Ni01+Ni11)。
Step b: driver's number of traffic accident does not occur according to the generation illegal activities but and the department of traffic accident does not occur The 4th ratio between machine number, and the illegal activities occur and driver's number of traffic accident has occurred and traffic accident has occurred Driver's number between the 5th ratio, determine the 6th ratio between the 4th ratio and the 5th ratio.
In conjunction with table one, the 4th ratio is Ni10/(Ni00+Ni10), the 5th ratio is Ni11/(Ni01+Ni11)。
Step c: according to the third ratio and the 6th ratio, the corresponding proof weight of the illegal activities is determined.
In specific implementation, can directly by the third ratio and the 6th ratio and value or and value multiplied by preset Coefficient is as the corresponding proof weight of the illegal activities.Or: according to formula W OEisumi(WOE0i+WOE1i) determine it is illegal The corresponding proof weight WOE of behavior iisum;Wherein, WOE0i=lnN1, N1 are the third ratio, WOE1i=lnN2, N2 are 6th ratio, αiFor the weight factor of illegal activities i.It should be noted that the formula of the calculating proof weight is only A kind of possible embodiment of the application, those skilled in the art can be without creative efforts to above-mentioned A variety of simple deformations that formula is made all should be within the scope of protection of this application.
S204: for the driver that illegal activities occur, at least one illegal activities that server occurs according to the driver The corresponding Security Proof power weight of each illegal activities determines safety of the driver in terms of traffic accident point Value.
Specifically, the corresponding Security Proof power weight of each illegal activities that the driver occurs can be determined With value WOEsum;According to preset score value section, to WOEsumLogical conversion processing is carried out, is obtained in the preset score value section Interior safe score.Here logical conversion processing is also i.e. by WOEsumIt is transformed to the preferable safe score of interpretation.
For example, according to the following formula to WOEsumLogical conversion processing is carried out, is obtained in preset score value section [0, k] Safe score Score, k is the real number greater than 0:
It should be noted that the formula of above-mentioned carry out logical conversion processing is only a kind of possible embodiment party of the application Formula, a variety of simple deformations that those skilled in the art can without creative efforts make above-mentioned formula are all It should be within the scope of protection of this application.
S205: the safe score in preset score value section is divided into multiple score shelves by server;For division Each score shelves, according to driver's number of the generation traffic accident in the score shelves and driver's sum in the score shelves, really The fixed corresponding accident rate of score shelves.
In the step, for the safe score of each driver determined in above-mentioned steps, and whether have occurred Traffic accident counts and driver's number of traffic accident occurs in each score shelves (namely score section) and in the score shelves Driver's sum is obtained by driver's number of the generation traffic accident in the score shelves divided by driver's sum in the score shelves The corresponding accident rate of score shelves.
In specific implementation, if the application is applied to the cooperation of the third-party institution and traffic control department, the application server The safe score of the driver for each generation illegal activities determined and the corresponding accident rate of each score shelves can be sent to Traffic control department, traffic control department are based on these information, can evaluate and test the probability that traffic accident occurs in the future for each driver.Alternatively, can With directly score shelves and the corresponding accident of each score shelves according to belonging to the safe score for the driver that illegal activities occur Rate determines the corresponding accident rate of driver that illegal activities occur, and the accident rate of the driver that illegal activities occur is anti- It feeds traffic control department.
In the following, making lower explanation in conjunction with the application scenarios of the third-party institution and traffic control department cooperation, then by one embodiment.
Embodiment three
As shown in figure 3, the traffic data processing method flow chart provided for the embodiment of the present application three, comprising the following steps:
S301: server obtains the illegal traffic data that traffic control department provides;The illegal traffic data includes multiple departments Wherein whether each driver occurs the information of traffic accident for illegal activities that machine occurs respectively and instruction.
S302: the illegal traffic data of the server based on acquisition determines the illegal row of each in a variety of illegal activities For corresponding characteristic, the corresponding characteristic of any one of them illegal activities include: do not occur the illegal activities and Driver's number of traffic accident does not occur, the illegal activities do not occur but traffic accident has occurred driver's number, that this has occurred is illegal Behavior but driver's number of traffic accident does not occur, the illegal activities have occurred and driver's number of traffic accident has occurred.
S303: each illegal activities occurred for the driver that illegal activities occur, based on the step in embodiment two Rapid a~c determines the corresponding Security Proof power weight of the illegal activities, and then determines each illegal row that the driver occurs For corresponding Security Proof power weight and value WOEsum
Specifically, which can be summarized as obtaining WOE based on following formulasum:
Wherein,
In above-mentioned formula, m is the illegal activities quantity that the driver occurs, and j=0 indicates that there is no illegal activities, j=1 Illegal activities, Ni has occurred in expression00/(Ni00+Ni10) it is first ratio, Ni01/(Ni01+Ni11) it is second ratio,For the third ratio, correspondingly, Ni10/(Ni00+Ni10) it is the 4th ratio, Ni11/(Ni01+ Ni11) it is the 5th ratio,For the 6th ratio.
S304: according to preset score value section, to WOEsumLogical conversion processing is carried out, is obtained in the preset score value Safe score in section.
Specifically, according to the following formula to WOEsumLogical conversion processing is carried out, is obtained in preset score value section [0, k] Interior safe score Score:
S305: the safe score in preset score value section is divided into multiple score shelves;For each of division point Several grades, according to driver's number of the generation traffic accident in the score shelves and driver's sum in the score shelves, determine this point Several grades of corresponding accident rates.
In specific implementation, directly traffic accident can be occurred in the future for each driver that illegal activities occur by server Accident rate is sent to traffic control department, can also carry out specific data processing according to the customization demand of traffic control department, for example, If traffic control department needs list of driver of the accident rate 4.5% or more, first server can be according to calculated such as table two Shown in each score shelves accident rate, safe score is reported in 10 points of list of driver below to traffic control department.
Score shelves Accident rate
<10 4.66%
[10,20) 4.23%
[20,30) 4.62%
[30,40) 4.19%
[40,50) 3.13%
[50,60) 2.73%
[60,70) 2.22%
[70,80) 1.64%
[80,90) 1.43%
[90,100) 0.58%
It is average 2.49%
Table two
Based on the same inventive concept, a kind of friendship corresponding with traffic data processing method is additionally provided in the embodiment of the present application Logical data processing equipment, since the principle that the device solves the problems, such as is similar to the embodiment of the present application traffic data processing method, because The implementation of this device may refer to the implementation of method, and overlaps will not be repeated.
As shown in figure 4, being traffic data processing apparatus structural schematic diagram provided by the embodiments of the present application, comprising:
Receiving module 41, for obtaining illegal traffic data;The illegal traffic data includes that multiple drivers occur respectively Illegal activities and instruction wherein whether each driver occurs the information of traffic accident;
First determining module 42 determines each in a variety of illegal activities for the illegal traffic data based on acquisition The corresponding characteristic parameter of kind illegal activities;
Second determining module 43, for being disobeyed according at least one that the driver occurs for the driver that illegal activities occur The corresponding characteristic parameter of each illegal activities in judicial act determines safety of the driver in terms of traffic accident point Value.
Optionally, second determining module 43 is specifically used for:
The illegal traffic data based on acquisition determines that each illegal activities is corresponding in a variety of illegal activities Characteristic;The corresponding characteristic of any one of them illegal activities includes: that the illegal activities do not occur and traffic thing does not occur Therefore driver's number, the illegal activities do not occur but traffic accident has occurred driver's number, the illegal activities have occurred but do not occur Driver's number of traffic accident has occurred the illegal activities and driver's number of traffic accident has occurred;According to each illegal activities Corresponding characteristic determines the corresponding Security Proof power weight of the illegal activities, by the Security Proof power weight As the characteristic parameter.
Optionally, second determining module 43 is specifically used for:
According to the illegal activities do not occur and do not occur driver's number of traffic accident and driver's number of traffic accident not occurring Between the first ratio, and do not occur the illegal activities but have occurred traffic accident driver's number and traffic accident has occurred The second ratio between driver's number determines the third ratio between first ratio and the second ratio;
According to the illegal activities occur but do not occur driver's number of traffic accident with do not occur traffic accident driver's number it Between the 4th ratio, and the illegal activities occur and have occurred driver's number of traffic accident and the driver of traffic accident to have occurred The 5th ratio between number determines the 6th ratio between the 4th ratio and the 5th ratio;
According to the third ratio and the 6th ratio, the corresponding Security Proof power weight of the illegal activities is determined.
Optionally, second determining module 43 is specifically used for:
According to formula W OEisumi(WOE0i+WOE1i) determine the corresponding Security Proof power weight of illegal activities i WOEisum
Wherein, WOE0i=lnN1, N1 are the third ratio, WOE1i=lnN2, N2 are the 6th ratio, αiIt is illegal The weight factor of behavior i.
Optionally, second determining module 43 is specifically used for:
Determine the driver occur the corresponding Security Proof power weight of each illegal activities and value WOEsum
According to preset score value section, to WOEsumLogical conversion processing is carried out, is obtained in the preset score value section Safe score.
Optionally, described device further include:
Third determining module 44, for the safe score in preset score value section to be divided into multiple score shelves;Needle To each score shelves of division, according to driver's number of the generation traffic accident in the score shelves and the driver in the score shelves Sum determines the corresponding accident rate of score shelves.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is process of the reference according to method, apparatus (system) and computer program product of the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although the preferred embodiment of the application has been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the application range.
Obviously, those skilled in the art can carry out various modification and variations without departing from the essence of the application to the application Mind and range.In this way, if these modifications and variations of the application belong to the range of the claim of this application and its equivalent technologies Within, then the application is also intended to include these modifications and variations.

Claims (8)

1. a kind of traffic data processing method, which is characterized in that this method comprises:
Server obtains illegal traffic data;The illegal traffic data include the illegal activities that multiple drivers occur respectively and Indicate wherein whether each driver occurs the information of traffic accident;
The illegal traffic data based on acquisition, determines the corresponding feature of each illegal activities in a variety of illegal activities Data;The corresponding characteristic of any one of them illegal activities includes: that the illegal activities do not occur and traffic accident does not occur Driver's number, has occurred the illegal activities but traffic does not occur driver's number that the illegal activities do not occur but traffic accident has occurred Driver's number of accident has occurred the illegal activities and driver's number of traffic accident has occurred;
According to the illegal activities do not occur and do not occur between driver's number of traffic accident and driver's number that traffic accident does not occur The first ratio, and the illegal activities do not occur but have occurred driver's number of traffic accident and the driver of traffic accident to have occurred The second ratio between number determines the third ratio between first ratio and the second ratio;
Do not occur according to the generation illegal activities but between driver's number of traffic accident and driver's number that traffic accident does not occur 4th ratio, and the illegal activities occur and have occurred driver's number of traffic accident with have occurred traffic accident driver's number it Between the 5th ratio, determine the 6th ratio between the 4th ratio and the 5th ratio;
According to the third ratio and the 6th ratio, the corresponding Security Proof power weight of the illegal activities is determined, by the safety Property proof weight is as characteristic parameter;
For the driver that illegal activities occur, each illegal activities point in at least one illegal activities occurred according to the driver The not corresponding characteristic parameter, determines safe score of the driver in terms of traffic accident.
2. the method as described in claim 1, which is characterized in that according to the third ratio and the 6th ratio, determine illegal row For the corresponding Security Proof power weight of i, comprising:
According to formula W OEisumi(WOE0i+WOE1i) determine the corresponding Security Proof power weight WOE of illegal activities iisum
Wherein, WOE0i=lnN1, N1 are the third ratio, WOE1i=lnN2, N2 are the 6th ratio, αiFor illegal activities The weight factor of i.
3. method according to claim 2, which is characterized in that each illegal activities occurred according to driver are corresponding Security Proof power weight determines safe score of the driver in terms of traffic accident, comprising:
Determine the driver occur the corresponding Security Proof power weight of each illegal activities and value WOEsum
According to preset score value section, to WOEsumLogical conversion processing is carried out, the peace in the preset score value section is obtained Full score value.
4. the method as described in claims 1 to 3 is any, which is characterized in that the method also includes:
Safe score in preset score value section is divided into multiple score shelves;
For each score shelves of division, according to driver's number of the generation traffic accident in the score shelves and in the score shelves Driver sum, determine the corresponding accident rate of score shelves.
5. a kind of traffic data processing apparatus, which is characterized in that the device includes:
Receiving module, for obtaining illegal traffic data;The illegal traffic data include multiple drivers occur respectively it is illegal Wherein whether each driver occurs the information of traffic accident for behavior and instruction;
First determining module determines that each in a variety of illegal activities is illegal for the illegal traffic data based on acquisition The corresponding characteristic of behavior;The corresponding characteristic of any one of them illegal activities includes: that the illegal activities do not occur And driver's number of traffic accident does not occur, the illegal activities do not occur but traffic accident has occurred driver's number, have occurred this disobey Judicial act but driver's number of traffic accident does not occur, the illegal activities have occurred and driver's number of traffic accident has occurred;According to The illegal activities do not occur and the first ratio between driver's number of traffic accident and driver's number that traffic accident does not occur does not occur Value, and the illegal activities do not occur but have occurred between driver's number of traffic accident and driver's number that traffic accident has occurred Second ratio determines the third ratio between first ratio and the second ratio;Do not occur according to the generation illegal activities but The 4th ratio between driver's number of traffic accident and driver's number that traffic accident does not occur, and the illegal activities and hair occurs Given birth to driver's number of traffic accident and traffic accident has occurred driver's number between the 5th ratio, determine the 4th ratio with The 6th ratio between 5th ratio;According to the third ratio and the 6th ratio, the corresponding safety of the illegal activities is determined Proof weight, using the Security Proof power weight as characteristic parameter;
Second determining module, for the driver for generation illegal activities, at least one illegal activities occurred according to the driver In the corresponding characteristic parameter of each illegal activities, determine safe score of the driver in terms of traffic accident.
6. device as claimed in claim 5, which is characterized in that first determining module is specifically used for:
According to formula W OEisumi(WOE0i+WOE1i) determine the corresponding Security Proof power weight WOE of illegal activities iisum
Wherein, WOE0i=lnN1, N1 are the third ratio, WOE1i=lnN2, N2 are the 6th ratio, αiFor illegal activities The weight factor of i.
7. device as claimed in claim 6, which is characterized in that second determining module is specifically used for:
Determine the driver occur the corresponding Security Proof power weight of each illegal activities and value WOEsum
According to preset score value section, to WOEsumLogical conversion processing is carried out, the peace in the preset score value section is obtained Full score value.
8. the device as described in claim 5~7 is any, which is characterized in that described device further include:
Third determining module, for the safe score in preset score value section to be divided into multiple score shelves;For division Each score shelves, according in the score shelves generation traffic accident driver's number and in the score shelves driver sum, Determine the corresponding accident rate of score shelves.
CN201510802598.0A 2015-11-19 2015-11-19 A kind of traffic data processing method and device Active CN106781450B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510802598.0A CN106781450B (en) 2015-11-19 2015-11-19 A kind of traffic data processing method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510802598.0A CN106781450B (en) 2015-11-19 2015-11-19 A kind of traffic data processing method and device

Publications (2)

Publication Number Publication Date
CN106781450A CN106781450A (en) 2017-05-31
CN106781450B true CN106781450B (en) 2019-09-17

Family

ID=58916405

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510802598.0A Active CN106781450B (en) 2015-11-19 2015-11-19 A kind of traffic data processing method and device

Country Status (1)

Country Link
CN (1) CN106781450B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107195185A (en) * 2017-07-26 2017-09-22 温州市鹿城区中津先进科技研究院 A kind of traffic data processing method
CN108922170B (en) * 2018-06-13 2020-11-27 同济大学 Intersection safety evaluation method based on electronic police snapshot data

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102012200182A1 (en) * 2012-01-09 2013-07-11 Robert Bosch Gmbh Method for assisting a driver of a vehicle to observe traffic rules, involves determining distance traveled for valid traffic rule, and detecting handling of vehicle, where detected driving behavior is compared with traffic regulation
CN103268426A (en) * 2013-06-05 2013-08-28 北京宣爱智能模拟技术股份有限公司 Method for evaluating safe driving level of automobile driver
CN104867327B (en) * 2014-02-21 2017-05-03 ***通信集团公司 Driving safety monitoring method and device
CN104091079B (en) * 2014-07-15 2017-10-31 哈尔滨工程大学 One kind is based on MEMS IMU Bus driver driving ability assessment methods
CN104978492A (en) * 2015-07-09 2015-10-14 彩虹无线(北京)新技术有限公司 Safety driving evaluation method based on telematics data flow

Also Published As

Publication number Publication date
CN106781450A (en) 2017-05-31

Similar Documents

Publication Publication Date Title
US20140081675A1 (en) Systems, methods, and apparatus for optimizing claim appraisals
Mpilambo et al. Determinants of early marriage among young women in Democratic Republic of Congo
CN104867327B (en) Driving safety monitoring method and device
CN105225500A (en) A kind of traffic control aid decision-making method and device
Salamati et al. Development and implementation of conflict-based assessment of pedestrian safety to evaluate accessibility of complex intersections
Cafiso et al. Driving performance, alignment consistency, and road safety: real-world experiment
US20200134729A1 (en) Information processing device, information processing system, information processing method, and program
CN104320271B (en) A kind of network equipment safety evaluation method and device
CN106781450B (en) A kind of traffic data processing method and device
CN112241127B (en) Automatic driving safety scoring method, automatic driving safety scoring device, computer equipment and storage medium
CN103593545B (en) Crossing multi-mode integrated service level evaluation method
Kim et al. Use of digital tachograph data to provide traffic safety education and evaluate effects on bus driver behavior
CN106960263A (en) A kind of method and apparatus of Geological Hazards Monitoring early warning
CN108447306B (en) Simulation method for real-time position sharing collision avoidance early warning among collision vehicles at uncontrolled intersection
Ye et al. Accounting for driver distraction and socioeconomic characteristics in a crash risk index: naturalistic driving study
Hurwitz et al. Implications of distracted driving on start-up lost time for dual left-turn lanes
Golakiya et al. Reexamining pedestrian crossing warrants based on vehicular delay at urban arterial midblock sections under mixed traffic conditions
CN116450506A (en) Intelligent level evaluation method and device for advanced driving assistance system
Xue et al. Uncertainty Analysis of Rear‐End Collision Risk Based on Car‐Following Driving Simulation Experiments
CN110826897A (en) Regional safety evaluation method, device, equipment and storage medium
CN113612631B (en) Internet of vehicles threat modeling method, system and computer readable storage medium
CN104657656B (en) A kind of manipulation method of controlling security and device based on banking system
Chen et al. The influence of the secondary tasks on driving performance and mental workload at different speeds
Babaee et al. Combining driving performance information in an index score: a simulated curve-taking experiment
Sarani et al. Personal Risk–Is there a Turning Point?

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20200921

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee after: Innovative advanced technology Co.,Ltd.

Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee before: Advanced innovation technology Co.,Ltd.

Effective date of registration: 20200921

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee after: Advanced innovation technology Co.,Ltd.

Address before: Cayman Islands Grand Cayman capital building, a four storey No. 847 mailbox

Patentee before: Alibaba Group Holding Ltd.