CN106780042A - Driving behavior data acquisition and evaluation method based on Intelligent mobile equipment - Google Patents
Driving behavior data acquisition and evaluation method based on Intelligent mobile equipment Download PDFInfo
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- CN106780042A CN106780042A CN201610803811.4A CN201610803811A CN106780042A CN 106780042 A CN106780042 A CN 106780042A CN 201610803811 A CN201610803811 A CN 201610803811A CN 106780042 A CN106780042 A CN 106780042A
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Abstract
The present invention discloses a kind of driving behavior data acquisition based on Intelligent mobile equipment and evaluation method, including：The driving behavior data of user are obtained by Intelligent mobile equipment；According to driving behavior data, by the driving behavior parameterized treatment of user, the actual driving behavior model of user is formed；Actual driving behavior model is contrasted with default standard driving behavior model, actual driving behavior model is judged, formed the evaluation result of user's driving ability.Using driving behavior data acquisition of the invention and evaluation method, input cost is low, easy to implement, the driving behavior for establishing correlation of novelty judges event model and drives risk level scoring model, for insurance UBI proposes preferably price thinking and data supporting.
Description
Technical field
The present invention relates to a kind of driving data analysis technical field, Intelligent mobile equipment is based in particular to one kind
Driving behavior data acquisition and evaluation method.
Background technology
Current car networking technology is insured more and more, internet giant concern, and phase is excavated with big data in car networking
After chance, collection and analysis to car owner's travelling data just seem particularly critical.By analysis and monitoring to driving behavior, can be with
Play a part of excitation, warning car owner.At the same time, the collection of driving behavior data, analysis, also accurately fixed to insurance company
Valency, release UBI (Usage Based Insurance, the insurance based on usage amount) insurance products have important reference role.
Obtaining driving behavior data needs corresponding terminal device.At present, the car networking data message of main flow obtains terminal
Including preceding carloader, OBD (On-Board Diagnostic, onboard diagnostic system) terminal, both two ways can be real-time
Information of vehicles and state are read, it is powerful, strongly professional, but shortcoming is also fairly obvious, and input cost is high, promotes on a large scale
Implementation cycle is very long, it is more difficult to capture mass market share.
The content of the invention
A kind of driving behavior data acquisition based on Intelligent mobile equipment and evaluation method are provided in the embodiment of the present invention,
To solve above-mentioned at least one problem.
In order to solve the above technical problems, the embodiment of the invention provides a kind of driving behavior number based on Intelligent mobile equipment
According to collection and evaluation method, including：The driving behavior data of user are obtained by Intelligent mobile equipment；According to driving behavior number
According to by the driving behavior parameterized treatment of user, the actual driving behavior model of formation user；By actual driving behavior model with
Default standard driving behavior model is contrasted, and actual driving behavior model is judged, and forms user's driving ability
Evaluation result.
Further, the step of obtaining driving behavior data by Intelligent mobile equipment includes：Gathered data uploads time point
Time；Gathered data uploads time point longitude, latitude, height, data and uploads time point direction；In collection uplink time interval in traveling
Journey.
Further, according to driving behavior data, by the driving behavior parameterized treatment of user, actually driving for user is formed
The step of sailing behavior model includes：Driving behavior data are carried out with data processing, data processing includes filtering, analysis, denoising, shape
Into the first driving behavior data；The driving locus route of user is drawn using the first driving behavior data, the reality of user is formed
Driving behavior model.
Further, driving behavior data acquisition and evaluation method also include：The evaluation result of driving ability is by driving
The pattern for sailing track and driving event description marking shows on Intelligent mobile equipment.
Further, driving behavior data acquisition and evaluation method also include：Store the driving behavior data of user；Root
According to the default standard driving behavior model of driving behavior data correction of storage.
The present invention obtains the driving behavior information of user using smart machine terminal, and input cost is low, easy to implement, and profit
User's driving behavior is judged with default standard driving behavior model, is insurance UBI (Usage Based
Insurance, the insurance based on usage amount) propose preferably price thinking and data supporting.
Brief description of the drawings
Fig. 1 is that the driving behavior data acquisition based on Intelligent mobile equipment of the embodiment of the present invention and evaluation method are answered
Multimode sensor-based system schematic diagram based on smart mobile phone；
Fig. 2 is driving behavior data acquisition based on Intelligent mobile equipment and the stream of evaluation method of the embodiment of the present invention
Cheng Tu；
Fig. 3 is the working-flow figure of the multimode sensor-based system of the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, but not as to limit of the invention
It is fixed.
With reference to shown in Fig. 1 and Fig. 2, Fig. 1 is that the driving behavior data based on Intelligent mobile equipment of the embodiment of the present invention are adopted
The multimode sensor-based system schematic diagram based on smart mobile phone that collection and evaluation method are applied.Embodiments in accordance with the present invention, this
The system that driving behavior data acquisition and evaluation method in embodiment based on Intelligent mobile equipment are applied includes intelligent sliding
Dynamic equipment 11, and server 12.Wherein Intelligent mobile equipment 11, can for mobile phone, panel computer or other can install the
The intelligent terminal of tripartite's application software, just can be with using the GPS in intelligent terminal, compass, acceleration transducer, gyroscope etc.
Gather user driving behavior information, including user track class index, including data upload point time, data upload time point
Longitude, latitude, height, data upload time point direction, upload distance travelled etc. in interval.In server 12, to what is collected
User's driving behavior data carry out the treatment such as denoising, calibration, synchronization, compensation, and the standard driving behavior mould prestored according to inside
Type, the actual driving behavior to user is judged, and forms the evaluation result of user's driving ability.Wherein, driving behavior event
Model includes events such as urgency accelerates, urgency is slowed down, brings to a halt, taking a sudden turn, colliding etc..
Fig. 2 is driving behavior data acquisition based on Intelligent mobile equipment and the stream of evaluation method of the embodiment of the present invention
Cheng Tu.As shown in Fig. 2 in this implementation, data acquisition and evaluation method include：
S10, the driving behavior data of user are obtained by Intelligent mobile equipment.
I.e. by the APP collection vehicle driving behavior achievement datas on Intelligent mobile equipment, wherein, by intelligence
The step of mobile device obtains the driving behavior data of user includes：Gathered data uploads point time；When gathered data is uploaded
Point longitude, latitude, height, data upload time point direction；Distance travelled in collection uplink time interval.
For example, being acquired to user's driving behavior data according to track class index, event class index during gathered data.Two
The collection standard of class index, frequency acquisition are as follows：
1st, track class index
2nd, event class index
S20, according to driving behavior data, by the driving behavior parameterized treatment of user, forms the actual driving row of user
It is model.
In this step, including：
Driving behavior data are carried out with data processing, data processing includes filtering, analysis, denoising, forms first and drives row
It is data；
The driving locus route of user is drawn using the first driving behavior data, the actual driving behavior mould of user is formed
Type.
I.e. to carrying out data processing by the data acquired in Intelligent mobile equipment, formed and include user's driving behavior data
The first driving behavior data；Then, the driving locus route of user is drawn out using the data acquisition system, the reality of user is formed
Driving behavior model.I.e. after the different types of data occurred in collecting above-mentioned two form, data are acquired with place
Reason, forms the actual driving behavior model of user.
S30, actual driving behavior model is contrasted with default standard driving behavior model, to actual driving behavior
Model is judged, and forms the evaluation result of user's driving ability.
The various data that will be gathered out by Intelligent mobile equipment build the actual driving behavior model of formation
With default standard driving model in system (including correct drive manner and bring to a halt, too fast model of turning) carry out it is right
Than, judging whether user has inappropriate driving behavior, the actual driving ability to user provides evaluation result, and evaluation result can
Think and provide bad steering behavior quantity, or a fraction.
Such as, when evaluation result is presented with fractional form, the actual driving model of user and default driving model are carried out
Contrast, is given a mark, and driving behavior is evaluated according to point system.
The input cost that the mode for gathering driving behavior data compared to the OBD of existing market main flow is brought is high, on a large scale
The promotion and implementation cycle is long and the drawbacks of stilling need supporting client and show, the present invention solves above predicament, Ke Yifang well
Just the driving behavior information of vehicle is obtained by intelligent terminal, input cost is low, easy to implement, novelty establishes correlation
Driving behavior judge event model and drive risk level scoring model, for insurance UBI propose preferably price thinking and
Data supporting, is easy to the insurer to collect the driving behavior data of user, and more accurate price is given based on big data；Also just
The driving situation of oneself is checked in driver, bad steering behavior is improved.
Further, driving behavior data acquisition and evaluation method also include：
Driving ability evaluation result is by driving locus and the pattern of driving event description marking on Intelligent mobile equipment
Display.
Driving ability evaluation result is by driving locus and the pattern of driving event description marking on Intelligent mobile equipment
User is shown to, makes the abstract data realized value for being driving through tool elephant, be easy to user more intuitively to obtain driving for oneself
Behavioural information is sailed, and driving behavior is improved according to acquired driving behavior information.
Such as in driving procedure, bad steering behavior that can be according to driving behavior evaluation result to user sends prompting,
Specifically include：When number of times of bringing to a halt is more than 3 times, point out that " overall driving ability or good exactly brings to a halt number of times a little
It is many, you it is noted that！”；When four anxious number of times are more than 5 times, " four anxious number of times are a little more during driving, note gently stepping on and gently stop, and reduce for prompting
You can also be given fuel-economizing！”；When four anxious number of times are more than 6 times, " your anxious number of times of driving four is than most cars for prompting
Main this can be a danger signal more, must gently step on light stopping and shallow turn！”.Therein four it is anxious refer to anxious acceleration, zig zag,
Suddenly slow down, bring to a halt.
Certainly, driving behavior evaluation result include but is not limited to it is above-mentioned several, can be by User Defined, it is also possible to show
It is the prompting of other forms.
Further, driving behavior data acquisition and evaluation method also include：
Store the driving behavior data of user；According to the default standard driving behavior of driving big data amendment of storage
Model.Big data is driven by the user for storing to improve amendment driving event model, can provide can more reflect user's driving
The scoring model of risk level, instructs pricing insurance products.
Carry out the result of test 10-15 days using variety classes mobile phone under different road conditions the following is 6 drivers,
Test trip segment is not less than 30：
Test data:
Test result：
| Single hop stroke mileage is poor: | ± 2.2% |
| Single hop journey time is poor： | <1min |
| Event acquisition Average Accuracy： | 93.1% |
From the point of view of above test result, the driving behavior data acquisition and the evaluation method degree of accuracy of the embodiment of the present invention compared with
Height, data supporting when disclosure satisfy that insurance UBI fixes a price.
Fig. 3 is the working-flow figure of the multimode sensor-based system of the embodiment of the present invention.As shown in figure 3, in the present embodiment
In, using mobile phone as intelligent movable equipment, in mobile phone terminal, the course of work of multimode sensor-based system includes：User opens mobile phone
Software, starts to drive；Into driving detection pattern；Calling mobile phone sensor obtains user's driving behavior data, i.e. in execution Fig. 2
The step of S10, by intelligent terminal obtain user driving behavior data；Collection sensing data, calls driving behavior analysis
Built-in function, that is, perform the step S20 in Fig. 2, and the data to collecting are processed, and draw out the driving locus route of user,
Form the actual driving behavior model of user；Judge whether event occurs, that is, perform the step S30 in Fig. 2, actual driving is gone
For model is contrasted with default standard driving behavior model, actual driving behavior model is judged, form user and drive
Horizontal evaluation result is sailed, judges whether user's driving behavior causes danger or bad steering behavior event；When user occurs
When dangerous driving or bad steering event, after outgoing event type, event is uploaded onto the server；When event does not occur,
Directly event is uploaded onto the server.
In server end, job step includes：Receiving event data；Storage event；Driving behavior data analysis.
Certainly, above is the preferred embodiment of the present invention.It should be pointed out that for those skilled in the art
For, on the premise of its general principles are not departed from, some improvements and modifications can also be made, these improvements and modifications
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of driving behavior data acquisition and evaluation method based on Intelligent mobile equipment, it is characterised in that including：
The driving behavior data of user are obtained by Intelligent mobile equipment；
According to the driving behavior data, by the driving behavior parameterized treatment of user, the actual driving behavior mould of user is formed
Type；
The actual driving behavior model and default standard driving behavior model are contrasted, to the actual driving behavior
Model is judged, and forms the evaluation result of user's driving ability.
2. driving behavior data acquisition according to claim 1 and evaluation method, it is characterised in that by intelligent mobile
The step of equipment obtains driving behavior data includes：
Gathered data uploads point time；
Gathered data uploads time point longitude, latitude, height, data and uploads time point direction；
Distance travelled in collection uplink time interval.
3. driving behavior data acquisition according to claim 1 and 2 and evaluation method, it is characterised in that according to described
Driving behavior data, include by the driving behavior parameterized treatment of user, the step of the actual driving behavior model for forming user：
The driving behavior data are carried out with data processing, the data processing includes filtering, analysis, denoising, forms first and drives
Sail behavioral data；
The driving locus route of user is drawn using the first driving behavior data, the actual driving behavior mould of user is formed
Type.
4. driving behavior data acquisition according to claim 3 and evaluation method, it is characterised in that driving behavior data
Collection and evaluation method also include：
The evaluation result of the driving ability describes the pattern of marking in Intelligent mobile equipment by driving locus and driving event
Upper display.
5. driving behavior data acquisition according to claim 4 and evaluation method, it is characterised in that the driving behavior
Data acquisition and evaluation method also include：
Store the driving behavior data of user；
According to the default standard driving behavior model of driving behavior data correction of storage.
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Cited By (6)
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| CN107444404A (en) * | 2017-07-25 | 2017-12-08 | 武汉依迅北斗空间技术有限公司 | A kind of evaluation method and device of driving behavior standard degree |
| WO2019184541A1 (en) * | 2018-03-30 | 2019-10-03 | 京东方科技集团股份有限公司 | Driving service assessment method and apparatus, device, and storage medium |
| WO2020147391A1 (en) * | 2019-01-16 | 2020-07-23 | 平安科技（深圳）有限公司 | Driving proficiency evaluation method and apparatus, computer device and storage medium |
| CN112329543A (en) * | 2020-10-12 | 2021-02-05 | 易显智能科技有限责任公司 | Method and related device for evaluating driving ability process |
| CN112329657A (en) * | 2020-11-10 | 2021-02-05 | 易显智能科技有限责任公司 | Method and related device for sensing upper body movement of driver |
| CN112351419A (en) * | 2020-06-02 | 2021-02-09 | 北京车与车科技有限公司 | Vehicle insurance method based on non-hardware equipment paying according to actual application |
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| CN112351419A (en) * | 2020-06-02 | 2021-02-09 | 北京车与车科技有限公司 | Vehicle insurance method based on non-hardware equipment paying according to actual application |
| CN112329543A (en) * | 2020-10-12 | 2021-02-05 | 易显智能科技有限责任公司 | Method and related device for evaluating driving ability process |
| CN112329657A (en) * | 2020-11-10 | 2021-02-05 | 易显智能科技有限责任公司 | Method and related device for sensing upper body movement of driver |
| CN112329657B (en) * | 2020-11-10 | 2022-07-01 | 易显智能科技有限责任公司 | Method and related device for sensing upper body movement of driver |
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Application publication date: 20170531 |