CN109035757A - The method for analyzing driving behavior - Google Patents
The method for analyzing driving behavior Download PDFInfo
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- CN109035757A CN109035757A CN201810436440.XA CN201810436440A CN109035757A CN 109035757 A CN109035757 A CN 109035757A CN 201810436440 A CN201810436440 A CN 201810436440A CN 109035757 A CN109035757 A CN 109035757A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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Abstract
The embodiment of the present invention discloses a kind of method for analyzing driving behavior, comprising: obtains the GPS data of vehicle；The vehicle zig zag is determined according to the GPS data；Driving behavior analysis is carried out according to the zig zag.The GPS data that the embodiment of the present invention passes through acquisition vehicle, determine that vehicle takes a sudden turn according to GPS data, driving behavior analysis is carried out according to zig zag, driving behavior analysis is carried out according to GPS data to realize, so as to realize driving behavior analysis with lower hardware cost.
Description
Technical field
The present invention relates to field of traffic more particularly to a kind of methods for analyzing driving behavior.
Background technique
With the increase year by year of car ownership, the safe driving of automobile is more and more important.The good driving row of driver
Can greatly to improve the safety in vehicle travel process, discharge can also be reduced to the greatest extent caused by environment
It influences.
The relevant technologies utilize the acceleration transducer and gyro sensor of car-mounted terminal installation, acquire every sensor number
According to obtaining driver's driving behavior, the higher cost of car-mounted terminal.
Summary of the invention
The embodiment of the present invention provides a kind of method for analyzing driving behavior, can be realized with lower hardware cost and drive row
For analysis.
The embodiment of the present invention adopts the following technical scheme that
A method of analysis driving behavior, comprising:
Obtain the GPS data of vehicle；
The vehicle zig zag is determined according to the GPS data；
Driving behavior analysis is carried out according to the zig zag.
Optionally, the GPS data includes: velocity amplitude, steering angle value, mileage, positioning time value, longitude and latitude；
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, determine the vehicle zig zag；
Wherein: Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle
Degree, Δ D=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminTo configure the minimum average B configuration turning velocity set,
Time value T, mileage value S, steering angle D and velocity amplitude V are obtained from GPS data, when FATOR1 and FATOR2 are all larger than
When zero, there is zig zag.
Optionally, the GPS data includes: velocity amplitude, steering angle value, mileage, positioning time value, longitude and latitude；
It is described to determine that the vehicle zig zag includes: according to the GPS data
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, FATOR3=((Vn+Vn-1)/2-
30)×|(Dn-Dn-1)|-DVmax, determine the vehicle zig zag；
Wherein, Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle
Degree, Δ D=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminTo configure the minimum average B configuration turning velocity set,
DVmaxFor highest angular speed product in the unit time of configuration, time value T, mileage value S, steering angle D and velocity amplitude V are from described
It is obtained in GPS data, FATOR3 is calculated using the value of adjacent two data point, is equal to when FATOR1 and FATOR2 is all larger than
Zero, and when at least there is the case where FATOR3 is more than or equal to zero, there is zig zag.
Optionally, further includes:
Determine that the vehicle suddenly accelerates according to the GPS data；
It is described to include: according to the anxious progress driving behavior analysis that slows down
Suddenly accelerated according to the vehicle and the vehicle suddenly slows down and vehicle zig zag, carries out driving behavior analysis.
Optionally, described to determine that the vehicle suddenly accelerates to include: according to the GPS data
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly accelerates；
Wherein Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor with
The fixed maximum duration period for reaching minimum speed difference is installed, time value T and velocity amplitude V are obtained from GPS data, Δ V=
(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) it is positive more than or equal to 0 and SP greater than 0 and Δ V
Value, then there is anxious accelerate in the 0th to n location point.
Optionally, the GPS data includes: velocity amplitude, positioning time value；
It is described to determine that the vehicle suddenly accelerates to include: according to the GPS data
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly accelerates；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Positive value, then there is anxious accelerate in the 0th to n location point.
Optionally, further includes:
Determine that the vehicle suddenly slows down according to the GPS data；
It is described driving behavior analysis is accelerated according to the urgency to include:
Suddenly accelerated according to the vehicle, the vehicle suddenly slows down, progress driving behavior analysis.
Optionally, the GPS data includes: velocity amplitude, deflection angle value, positioning time value, longitude and latitude；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Negative value, then there is anxious slow down in the 0th to n location point.
Optionally, the GPS data includes: velocity amplitude, deflection angle value, positioning time value, longitude and latitude；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Negative value, then there is anxious slow down in the 0th to n location point.
Optionally, further includes:
Determine environmental protection evaluation result；
The driving behavior result obtained according to the driving behavior analysis；
It drives driving behavior result by described and is integrated with the environmentally friendly evaluation result, obtain synthesis result.
The method of analysis driving behavior based on the above-mentioned technical proposal, by obtaining the GPS data of vehicle, according to GPS number
According to vehicle zig zag is determined, driving behavior analysis is carried out according to zig zag, driving behavior point is carried out according to GPS data to realize
Analysis, so as to realize driving behavior analysis with lower hardware cost.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is the flow chart of the method for the analysis driving behavior shown in the embodiment of the present invention.
Fig. 2 is the velocity variations schematic diagram one shown in the embodiment of the present invention.
Fig. 3 is the velocity variations schematic diagram two shown in the embodiment of the present invention.
Fig. 4 is that the location point shown in the embodiment of the present invention acquires schematic diagram.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
The relevant technologies utilize acceleration transducer and gyro sensor, acquire every sensing data, obtain driver
Driving behavior.It calculates with the presence or absence of fierce driving behavior, acceleration transducer is mainly for detection of anxious with the presence or absence of anxious acceleration
Slow down, gyroscope mainly for detection of zig zag driving behavior.It can be seen that the relevant technologies, need using multiple sensors, can mention
The economic cost of high car-mounted terminal.In addition, most car-mounted terminals are all without built-in acceleration and gyro sensor, if
It using the program, needs to modify hardware and software on the basis of end product, complete upgrading transformation, cost ratio is carried out to product
It is larger.
The embodiment of the present invention carries out data by acquiring the data of its output according to the GPS module built in car-mounted terminal
Analysis, calculate driver's fierce driving behavior in stroke each time (it is anxious accelerate, it is anxious slow down, zig zag), thus to drive
The adjustment of the specification of behavior evaluation scoring system and driver's driving habit provides data and supports and suggest.
Embodiment 1
As shown in Figure 1, the embodiment of the present invention provides a kind of method for analyzing driving behavior, comprising:
11, the GPS data of vehicle is obtained；
12, determine that the vehicle takes a sudden turn according to the GPS data；
13, driving behavior analysis is carried out according to the zig zag.
The method of the analysis driving behavior of the embodiment of the present invention, it is true according to GPS data by obtaining the GPS data of vehicle
Determine vehicle zig zag, driving behavior analysis carried out according to zig zag, driving behavior analysis is carried out according to GPS data to realize,
So as to realize driving behavior analysis with lower hardware cost.
In one embodiment of the invention, the GPS data include: velocity amplitude, steering angle value, mileage, positioning time value,
Longitude and latitude；
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, determine the vehicle zig zag；
Wherein: Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle
Degree, Δ D=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminTo configure the minimum average B configuration turning velocity set,
Time value T, mileage value S, steering angle D and velocity amplitude V are obtained from GPS data, when FATOR1 and FATOR2 are all larger than
When zero, there is zig zag.
In one embodiment, T, S, D degree can be chosen according to Fixed Time Interval is (settable).For example, using such as Fig. 4
The GPS location point data for the 0-n that method is chosen.
In one embodiment of the invention, the GPS data include: velocity amplitude, steering angle value, mileage, positioning time value,
Longitude and latitude；
It is described to determine that the vehicle zig zag includes: according to the GPS data
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, FATOR3=((Vn+Vn-1)/2-
30)×|(Dn-Dn-1)|-DVmax, determine the vehicle zig zag；
Wherein, Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle
Degree, Δ D=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminTo configure the minimum average B configuration turning velocity set,
DVmaxFor (such as 1 second) highest angular speed product, time value T, mileage value S, steering angle D and velocity amplitude V in the unit time of configuration
It is obtained from the GPS data, FATOR3 is calculated using the value of adjacent two data point, when FATOR1 and FATOR2 are big
When being equal to zero, and at least there is a case where FATOR3 is more than or equal to zero, there is zig zag.
In one embodiment, T, S, D degree can be chosen according to Fixed Time Interval is (settable).For example, using such as Fig. 4
The GPS location point data for the 0-n that method is chosen.
Specifically, when choosing the value of adjacent two data point segment position point data can be chosen such as Fig. 4 method, i.e.,
For the data of 0-n, it is assumed that n 5, then 0 and 1 be it is adjacent, 1 and 2 be it is adjacent, 2 and 3 be it is adjacent, 3 and 4 be it is adjacent, 4
Be with 5 it is adjacent, consecutive points calculate.
In one embodiment of the invention, further includes:
Determine that the vehicle suddenly accelerates according to the GPS data；
It is described to include: according to the anxious progress driving behavior analysis that slows down
Suddenly accelerated according to the vehicle and the vehicle suddenly slows down and vehicle zig zag, carries out driving behavior analysis.
It is described to determine that the vehicle suddenly accelerates to include: according to the GPS data in one embodiment of the invention
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly accelerates；
Wherein Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor with
The fixed maximum duration period for reaching minimum speed difference is installed, time value T and velocity amplitude V are obtained from GPS data, Δ V=
(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) it is positive more than or equal to 0 and SP greater than 0 and Δ V
Value, then there is anxious accelerate in the 0th to n location point.
Wherein, the minimum speed difference definition of setting can be determined according to different automobile types real steering vectors, such as 30km/h；Setting
The maximum duration period for reaching minimum speed difference can be determining according to different automobile types real steering vectors, and such as 4 seconds.Specifically, adding as anxious
Fast decision condition is the minimum promotion 35km/h of speed in the 5 second time of longest, then 35km/h is that minimum speed is poor, and 5 seconds are to reach
To the maximum duration period of minimum speed difference.
In one embodiment, location point V0...VnSpeed can be according to Fixed Time Interval (i.e. above-mentioned minimum speed
Spend the maximum duration interval of difference) it chooses.
In one embodiment of the invention, the GPS data includes: velocity amplitude, positioning time value；
It is described to determine that the vehicle suddenly accelerates to include: according to the GPS data
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly accelerates；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Positive value, then there is anxious accelerate in the 0th to n location point.
Wherein, the minimum speed difference definition of setting can be determined according to different automobile types real steering vectors, such as 30km/h；Setting
The maximum duration period for reaching minimum speed difference can be determining according to different automobile types real steering vectors, and such as 4 seconds.Specifically, adding as anxious
Fast decision condition is the minimum promotion 35km/h of speed in the 5 second time of longest, then 35km/h is that minimum speed is poor, and 5 seconds are to reach
To the maximum duration period of minimum speed difference.
In one embodiment, location point V0...VnSpeed can be according to Fixed Time Interval (i.e. above-mentioned minimum speed
Spend the maximum duration interval of difference) it chooses.
In one embodiment of the invention, further includes:
Determine that the vehicle suddenly slows down according to the GPS data；
It is described driving behavior analysis is accelerated according to the urgency to include:
Suddenly accelerated according to the vehicle, the vehicle suddenly slows down, progress driving behavior analysis.
In one embodiment of the invention, the GPS data includes: velocity amplitude, deflection angle value, positioning time value, longitude and latitude
Degree；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Negative value, then there is anxious slow down in the 0th to n location point.
Wherein, the minimum speed difference definition of setting can be determined according to different automobile types real steering vectors, such as 30km/h；Setting
The maximum duration period for reaching minimum speed difference can be determining according to different automobile types real steering vectors, and such as 4 seconds.Specifically, adding as anxious
Fast decision condition is the minimum promotion 35km/h of speed in the 5 second time of longest, then 35km/h is that minimum speed is poor, and 5 seconds are to reach
To the maximum duration period of minimum speed difference.
In one embodiment, location point V0...VnSpeed can be according to Fixed Time Interval (i.e. above-mentioned minimum speed
Spend the maximum duration interval of difference) it chooses.
In one embodiment of the invention, the GPS data includes: velocity amplitude, deflection angle value, positioning time value, longitude and latitude
Degree；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from the GPS data, Δ
V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be
Negative value, then there is anxious slow down in the 0th to n location point.
Wherein, the minimum speed difference definition of setting can be determined according to different automobile types real steering vectors, such as 30km/h；Setting
The maximum duration period for reaching minimum speed difference can be determining according to different automobile types real steering vectors, and such as 4 seconds.Specifically, adding as anxious
Fast decision condition is the minimum promotion 35km/h of speed in the 5 second time of longest, then 35km/h is that minimum speed is poor, and 5 seconds are to reach
To the maximum duration period of minimum speed difference.
In one embodiment, location point V0...VnSpeed can be according to Fixed Time Interval (i.e. above-mentioned minimum speed
Spend the maximum duration interval of difference) it chooses.
In one embodiment of the invention, further includes:
Determine environmental protection evaluation result；
The driving behavior result obtained according to the driving behavior analysis；
It drives driving behavior result by described and is integrated with the environmentally friendly evaluation result, obtain synthesis result.
According to the vehicle urgency acceleration times and the vehicle urgency deceleration number and described in one embodiment of the present of invention
Vehicle zig zag number, obtains the driving behavior result.
In one embodiment of the present of invention, the environmentally friendly evaluation result of the acquisition includes:
Duration is driven according to continuous, continuously drives distance, at least one of travel speed parameter obtains the environmental protection evaluation
As a result.
By the driving behavior obtained according to the driving behavior analysis as a result, with institute described in one embodiment of the present of invention
It states environmentally friendly evaluation result to be integrated, obtaining synthesis result includes:
According to the specific gravity of the driving behavior result and the specific gravity of the environmentally friendly evaluation result, the synthesis result is obtained.
The method of analysis driving behavior based on the above-mentioned technical proposal, by obtaining the GPS data of vehicle, according to GPS number
According to vehicle zig zag is determined, driving behavior analysis is carried out according to zig zag, driving behavior point is carried out according to GPS data to realize
Analysis, so as to realize driving behavior analysis with lower hardware cost.
The embodiment of the present invention carries out data point by acquiring the data of its output according to the GPS module built in car-mounted terminal
Analysis, calculate driver's fierce driving behavior in stroke each time (it is anxious accelerate, it is anxious slow down, zig zag), thus to drive row
Data support is provided for the adjustment of the specification of evaluation scoring system and driver's driving habit and is suggested.
Embodiment 2
Driving behavior analysis method is described in detail in the present embodiment, and the present embodiment does not have to acceleration and gyro sensor, only
According to the GPS data of acquisition, that is, it can reach the calculating purpose of the anxious fierce driving behavior for accelerating, suddenly slowing down, taking a sudden turn.This implementation
The driving behavior analysis method of example, the anxious algorithm of three used (anxious acceleration is suddenly slowed down, zig zag) is using GPS data as master data
Element mainly uses velocity amplitude, deflection angle value, positioning time value, longitude and latitude etc..
Anxious accelerating algorithm does the Tendency Analysis of speed with collected a string of GPS datas in the embodiment of the present invention, takes out
The GPS data in each section of speed increase taxis section does anxious acceleration analysis to the data of this section of speed increase, main to divide
Analysing element is time length, speed difference, and within the regular hour, when speed difference reaches the anxious acceleration threshold value of setting, assert should
Section section is anxious accelerates.
The determination method in speed increase taxis section is as shown in Fig. 2, from chronological sequence sorting in the embodiment of the present invention
The one piece of data that speed is increased continuously (may include part at the uniform velocity section GPS data) is calculated in good GPS data list.
The determination method in speed tapering tendency section is as shown in figure 3, from chronological sequence sorting in the embodiment of the present invention
Speed is calculated in good GPS data list continuously to successively decrease the one piece of data of (may include part at the uniform velocity section GPS data).
As shown in Fig. 2, the speed interval section of circle mark is respectively that primary effective anxious accelerometer calculates data segment, i.e. speed
It is incremented by taxis interval censored data section.
Algorithm suddenly slow down in the embodiment of the present invention as shown in figure 3, the speed interval GPS data section of circle mark is respectively one
Secondary effective anxious decelerometer calculates data segment, i.e. decrease of speed taxis interval censored data section.
In the embodiment of the present invention, zig zag algorithm arrangement interception direction taxis section is (counterclockwise or square clockwise
To) data, bonding position value, velocity amplitude and time value, carry out COMPREHENSIVE CALCULATING, within certain time, angular speed product and
When orientation angle difference reaches the turning threshold value respectively set and average speed not less than setting value simultaneously, regard as taking a sudden turn.
The calculating of speed taxis interval censored data is it is assumed that with each GPS data (packet in the embodiment of the present invention
Containing speed, direction, time, longitude and latitude, mileage) gap periods be 1 second, setting 5 seconds in reach setting minimum speed it is poor, then
Anxious acceleration maximum duration is 5 seconds, and at most every 5 GPS datas (including speed, direction, time, longitude and latitude, mileage) do primary speed
The analysis for spending difference takes the process of GPS data point as shown in figure 4, Fig. 4 intermediate cam shaped position point is the location point chosen every time.
In the embodiment of the present invention, the anxious calculation formula for accelerating, suddenly slowing down, taking a sudden turn algorithm is as follows:
Anxious acceleration, anxious deceleration calculation formula one:
SP=(Δ V/ Δ T- Δ Vmin/ΔTmax)×(ΔV/|ΔV|)
Wherein Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor with
The fixed maximum duration period for reaching minimum speed difference is installed, time value T and velocity amplitude V are obtained from GPS data.It the following is
The calculation formula of speed difference and time difference:
Speed difference Δ V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, time difference Δ T=Tn-T0, in satisfaction (Δ Tmax-Δ
T) it is more than or equal under conditions of 0, if result SP greater than 0, illustrates that the 0th to n location point accelerates or suddenly slow down to go in the presence of anxious
Are as follows: Δ V is negative, then is anxious deceleration, and Δ V is positive, then is anxious acceleration.
Anxious acceleration or anxious deceleration calculation formula two:
SP=(Δ V/ Δ T- Δ Vmin/ΔTmax)；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor
The maximum duration period for reaching minimum speed difference of setting is configured, time value T and velocity amplitude V are obtained from GPS data.It is as follows
For the calculation formula of speed difference and time difference:
Speed difference Δ V=(Vn-Vn-1)+...+(V1-V0)=Vn-V0, time difference Δ T=Tn-T0, in satisfaction (Δ Tmax-Δ
T) it is more than or equal under conditions of 0, if result SP greater than 0, illustrates that the 0th to n location point accelerates or suddenly slow down to go in the presence of anxious
Are as follows: Δ V is negative, then is anxious deceleration, and Δ V is positive, then is anxious acceleration.
In the embodiment of the present invention, calculation formula one of taking a sudden turn:
FATOR1=Δ S/ Δ T- Δ Vmin
FATOR2=Δ D/ Δ T- Δ Umin
FATOR3=((Vn+Vn-1)/2-30)×|(Dn-Dn-1)|-DVmax
Wherein
Δ T is testing time section, Δ T=Tn-T0
Δ S is mileage travelled, Δ S=Sn-S0
Δ D is steering angle, Δ D=Dn-D0
ΔVminFor the minimum average B configuration speed of configuration setting, Δ UminFor the minimum average B configuration turning velocity of configuration setting, DVmax
For (1 second) highest angular speed product in the unit time of configuration, time value T, mileage value S, steering angle D and velocity amplitude V are from GPS
It is obtained in data.FATOR3 is calculated using the value of adjacent two data point, when FATOR1 and FATOR2 is all larger than equal to zero,
And when at least there is a case where FATOR3 is more than or equal to zero, driving behavior is judged to taking a sudden turn.
Specifically, the data of each location point of GPS include mileage S and steering angle D, Δ S=Sn-S0, Δ D=Dn-
D0, Δ VminIt is determined according to real steering vectors.
In the embodiment of the present invention, calculation formula two of taking a sudden turn:
FATOR1=Δ S/ Δ T- Δ Vmin
FATOR2=Δ D/ Δ T- Δ Umin
Wherein Δ T is testing time section, and Δ S is mileage travelled, and Δ D is steering angle, Δ VminFor minimum average B configuration speed,
ΔUminFor minimum average B configuration turning velocity.When FATOR1 and FATOR2 are all larger than equal to zero, driving behavior is judged to taking a sudden turn.
Specifically, the data of each location point of GPS include mileage S and steering angle D, Δ S=Sn-S0, Δ D=Dn-
D0, Δ VminIt is determined according to real steering vectors.
In the embodiment of the present invention, anxious acceleration, urgency acceleration, anxious deceleration and the zig zag number for suddenly slowing down, taking a sudden turn algorithm output
According to the important evidence that can be used as driving behavior marking.The following table 1 be driving behavior total score computation rule, including environmentally friendly score and
Weight of the safety in driving behavior total score.And environmentally friendly score and safety are all with anxious acceleration, anxious deceleration, zig zag
Data have direct relation.
1 driving behavior total score of table
| Title | Environmentally friendly score | Safety |
| Driving behavior total score | 33% | 67% |
The following table 2 is suddenly acceleration, anxious deceleration, zig zag data in environmentally friendly score and the weight of safety explanation, suddenly accelerate,
Anxious deceleration, zig zag data are very big on safety influence, and have also accounted for a quarter weight of environmentally friendly score, Jin Erying
Ring driving behavior total score.
2 driving behavior items score of table
| Title | Travel duration | Operating range | Speed | Three anxious data |
| Environmentally friendly score | 25% | 25% | 25% | 25% |
| Safety | 16.00% | 17.00% | 17.00% | 50% |
The following table 3 is anxious acceleration, suddenly slows down, the score explanation of zig zag data that total score is 100 points.
The anxious acceleration of table 3 is suddenly slowed down, data grading scheme of taking a sudden turn (n is suddenly acceleration, anxious deceleration, zig zag total degree)
| Title | N=0 | 0 < n < 10 | >=10 n |
| Three anxious scores | 100 points | 100/n points | 0 point |
The embodiment of the present invention, according to the existing GPS module of terminal, can calculate it is anxious accelerate, it is anxious slow down, zig zag is driven
Behavior is sailed, avoids carrying out hardware modification to product on a large scale, reduces cost and product up-gradation cost, different GPS can be directed to
Energy difference carries out adaptation adjustment to anxious acceleration, anxious deceleration, zig zag algorithm using different calibration parameters.
The embodiment of the present invention, GPS gathers frequency is longer, and without acceleration information, the present invention can be according to less accurate
Data are made more accurate driving behavior and are calculated.The consistent each segment data of speed taxis is isolated, carries out anxious acceleration respectively
The calculating suddenly slowed down improves accuracy.The adjustment parameter for suddenly accelerating, suddenly slowing down, taking a sudden turn algorithm is set, it can be dynamically to algorithm
Every key parameter carry out adjustment
The embodiment of the present invention carries out data by acquiring the data of its output according to the GPS module built in car-mounted terminal
Analysis, calculate driver's fierce driving behavior in stroke each time (it is anxious accelerate, it is anxious slow down, zig zag), thus to drive
The adjustment of the specification of behavior evaluation scoring system and driver's driving habit provides data and supports and suggest.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art
Other those of ordinary skill can understand each embodiment disclosed herein.
Those skilled in the art will readily occur to its of the disclosure after considering specification and practicing disclosure disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.
Claims (10)
1. a kind of method for analyzing driving behavior characterized by comprising
Obtain the GPS data of vehicle；
The vehicle zig zag is determined according to the GPS data；
Driving behavior analysis is carried out according to the zig zag.
2. the method according to claim 1, wherein the GPS data include: velocity amplitude, it is steering angle value, inner
Journey, positioning time value, longitude and latitude；
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, determine the vehicle zig zag；
Wherein: Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle, Δ D
=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminFor the minimum average B configuration turning velocity of configuration setting, time value
T, mileage value S, steering angle D and velocity amplitude V are obtained from GPS data, when FATOR1 and FATOR2 is all larger than equal to zero,
There are zig zags.
3. method according to claim 1 or 2, which is characterized in that the GPS data includes: velocity amplitude, steering angle
Value, mileage, positioning time value, longitude and latitude；
It is described to determine that the vehicle zig zag includes: according to the GPS data
According to FATOR1=Δ S/ Δ T- Δ Vmin, FATOR2=Δ D/ Δ T- Δ Umin, FATOR3=((Vn+Vn-1)/2-30)×|
(Dn-Dn-1)|-DVmax, determine the vehicle zig zag；
Wherein, Δ T is testing time section, Δ T=Tn-T0, Δ S is mileage travelled, Δ S=Sn-S0, Δ D is steering angle, Δ D
=Dn-D0, Δ VminFor the minimum average B configuration speed of configuration setting, Δ UminFor the minimum average B configuration turning velocity of configuration setting, DVmaxFor
Highest angular speed product in the unit time of configuration, time value T, mileage value S, steering angle D and velocity amplitude V are from the GPS data
Middle acquisition, FATOR3 are calculated using the value of adjacent two data point, when FATOR1 and FATOR2 are all larger than equal to zero, and extremely
When there is a case where FATOR3 is more than or equal to zero less, there is zig zag.
4. the method according to claim 1, wherein further include:
Determine that the vehicle suddenly accelerates according to the GPS data；
It is described to include: according to the anxious progress driving behavior analysis that slows down
Suddenly accelerated according to the vehicle and the vehicle suddenly slows down and vehicle zig zag, carries out driving behavior analysis.
5. according to the method described in claim 4, it is characterized in that, described determine that the vehicle suddenly adds according to the GPS data
Speed includes:
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly accelerates；
Wherein Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor with installing
The fixed maximum duration period for reaching minimum speed difference, time value T and velocity amplitude V are obtained from GPS data, Δ V=(Vn-
Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) be more than or equal to 0 and SP be greater than 0 and Δ V be positive value, then
There is anxious accelerate in the 0th to n location point.
6. method according to claim 4 or 5, which is characterized in that the GPS data includes: velocity amplitude, positioning time
Value；
It is described to determine that the vehicle suddenly accelerates to include: according to the GPS data
According to SPj=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly accelerates；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor configuration
The maximum duration period for reaching minimum speed difference of setting, time value T and velocity amplitude V are obtained from the GPS data, Δ V=
(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) it is positive more than or equal to 0 and SP greater than 0 and Δ V
Value, then there is anxious accelerate in the 0th to n location point.
7. according to the method described in claim 4, it is characterized by further comprising:
Determine that the vehicle suddenly slows down according to the GPS data；
It is described driving behavior analysis is accelerated according to the urgency to include:
Suddenly accelerated according to the vehicle, the vehicle suddenly slows down, progress driving behavior analysis.
8. the method according to the description of claim 7 is characterized in that the GPS data includes: velocity amplitude, deflection angle value, determines
Position time value, longitude and latitude；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor configuration
The maximum duration period for reaching minimum speed difference of setting, time value T and velocity amplitude V are obtained from the GPS data, Δ V=
(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) it is negative more than or equal to 0 and SP greater than 0 and Δ V
Value, then there is anxious slow down in the 0th to n location point.
9. method according to claim 7 or 8, which is characterized in that the GPS data includes: velocity amplitude, orientation angle
Value, positioning time value, longitude and latitude；
It is described to determine that suddenly deceleration includes: the vehicle according to the GPS data
According to SPi=(Δ V/ Δ T- Δ Vmin/ΔTmax) × (Δ V/ | Δ V |), determine that the vehicle suddenly slows down；
Wherein, Δ V is speed difference, and Δ T is time difference, Δ VminFor the minimum speed difference definition of configuration setting, Δ TmaxFor configuration
The maximum duration period for reaching minimum speed difference of setting, time value T and velocity amplitude V are obtained from the GPS data, Δ V=
(Vn-Vn-1)+...+(V1-V0)=Vn-V0, Δ T=Tn-T0, (Δ TmaxΔ T) it is negative more than or equal to 0 and SP greater than 0 and Δ V
Value, then there is anxious slow down in the 0th to n location point.
10. method according to any one of claim 1 to 9, which is characterized in that further include:
Determine environmental protection evaluation result；
The driving behavior result obtained according to the driving behavior analysis；
It drives driving behavior result by described and is integrated with the environmentally friendly evaluation result, obtain synthesis result.
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