CN107972671A - A kind of driving behavior analysis system - Google Patents
A kind of driving behavior analysis system Download PDFInfo
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- CN107972671A CN107972671A CN201710588402.1A CN201710588402A CN107972671A CN 107972671 A CN107972671 A CN 107972671A CN 201710588402 A CN201710588402 A CN 201710588402A CN 107972671 A CN107972671 A CN 107972671A
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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
-
- 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
- B60W40/02—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 ambient conditions
- B60W40/04—Traffic conditions
-
- 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
- B60W40/02—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 ambient conditions
- B60W40/06—Road conditions
-
- 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
-
- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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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
- B60W2040/0818—Inactivity or incapacity of driver
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
- Y02T10/84—Data processing systems or methods, management, administration
Abstract
The invention discloses a kind of driving behavior analysis system, module, data record and analysis module, judgment module, alarm module and evaluation module are measured including driving information acquisition module, vehicle-periphery acquisition module, driver's fatigue degree, the driving information acquisition module, vehicle-periphery acquisition module and driver's fatigue degree measure module and are all connected with data record and analysis module, the other end connection judgment module of data record and analysis module, the other end of the judgment module connect alarm module and evaluation module respectively.The present invention is by analyzing driving data and weighing the driving behavior of driver, and then complete the evaluation of the driving behavior to driver, it can be analyzed based on driving behavior of the driving environment to driver, correct guide is done to driver, avoid misleading, improve the driving behavior of driver at the same time, and then reduce vehicle oil consumption.
Description
Technical field
The present invention relates to technical field of vehicle safety, is specifically a kind of driving behavior analysis system.
Background technology
With the raising developed rapidly with living standards of the people of China's economy, in the ownership of motor vehicle and newly-increased highway
The growth rate of number of passes is constantly accelerated.At the same time, road traffic accident, especially pernicious traffic accident, which is presented, constantly to be risen
How gesture, reduce traffic accident incidence as one of huge difficult problem of current transportation industry, and causes national governments
Pay much attention to.In vehicle operation, during especially driving over a long distance, driver is since physical condition is bad or long-time
Drive, easily produce fatigue, thinking ability declines, slow in reacting;On the other hand, when pilot's line of vision is not when on road surface, car
Also can run-off-road, easily get into an accident.Research shows:The quality of driving behavior exists direct with traffic accident incidence
Causality.Found examining the record of driving of 1447 2 years that the driver of fatal traffic accident occur, compared with not sending out
The driver of raw major traffic accidents, violation record of these drivers in 2 years are significantly higher than average level.Therefore, study
The driving behavior of automobile driver, the violation driving behavior for detecting and preventing its appearance have weight to reducing traffic accident
Want meaning.
In addition, influence of the driving behavior of driver for oil consumption is also very high.In terms of reducing vehicle oil consumption, drive
The person of sailing usually is rule of thumb to grope and form oneself distinctive driving habit, and driving habit would become hard to afterwards once being formed into
Row changes, meanwhile, whether driver also lacks corresponding standard reasonable to judge the driving behavior of oneself, thus existing way is difficult
To reduce vehicle oil consumption from the driving behavior for changing driver.
The content of the invention
It is an object of the invention to provide a kind of driving behavior analysis system esy to use, safe and reliable, with solution
State the problem of being proposed in background technology.
To achieve the above object, the present invention provides following technical solution:
A kind of driving behavior analysis system, including driving information acquisition module, vehicle-periphery acquisition module, driver fatigue
Level determinations module, data record and analysis module, judgment module, alarm module and evaluation module, the driving information collection
Module, vehicle-periphery acquisition module and driver's fatigue degree measure module and are all connected with data record and analysis module, number
According to record and the other end connection judgment module of analysis module, the other end of the judgment module connects alarm module and comments respectively
Valency module, the driving information acquisition module are used for the driving condition information of collection vehicle, and vehicle-periphery acquisition module is used
In the ambient conditions of collection vehicle, driver's fatigue degree measures the current fatigue data that module is used to obtain driver, number
It is used to receive the driving information acquisition module, vehicle-periphery acquisition module and driver fatigue according to record and analysis module
The information of level determinations module transmission, according to the tired of the driving condition information of vehicle, the ambient conditions of vehicle and driver
Driving behavior of the labor degree to driver is analyzed;Safe driving behavior asset pricing is preset with the judgment module, to sentence
Whether the disconnected driving behavior scoring matches the safe driving behavior asset pricing, and forms judging result output;The alarm
Module is to be mismatched when the judging result scores for the driving behavior under the safe driving behavior asset pricing state, sends report
Alert signal;Evaluation module be used for the driving habit of the driver for analyzing data record and analysis module with it is default good
Driving habit is contrasted, and obtains the bad steering custom of driver.
As the further scheme of the present invention:The driving information of the driving information acquisition module collection turns including steering wheel
The size at angle, the rotating speed of steering wheel, automobile's instant velocity, wheel speed, the dynamics for trampling brake pedal, throttle trample dynamics, engine wink
When rotating speed, traveling gears.
As the further scheme of the present invention:The vehicle-periphery data of the vehicle-periphery acquisition module collection
Including front truck quantity, rear car quantity, front truck and/or rear car with the vertically and horizontally distance from car, track quantity, from the car residing for car
Track, track line tracking residing for road, front truck and/or rear car, road edge track, surface evenness, road barrier object location
And number.
As the further scheme of the present invention:The vehicle-periphery acquisition module is connected with vehicle-mounted camera and vehicle-mounted
Radar.
As the further scheme of the present invention:The driver's fatigue degree, which measures module, includes facial image acquisition list
Member, sight offset detection unit and current fatigue data extraction unit, facial image acquisition unit gather the current of driver in real time
Face-image, sight offset detection unit extraction driver head's posture, current fatigue data extraction unit ought be above according to
Portion's image, head pose extraction fatigue characteristic vector, institute is calculated further according to default fatigue characteristic vector calculation
State current fatigue data.
As further scheme of the invention:The current fatigue data is head movement speed, head movement angular speed,
In eye movement speed, face orientation, direction of visual lines and frequency of wink, eye closing frequency, depth eye closing frequency any one or
It is several.
Compared with prior art, the beneficial effects of the invention are as follows:
Driver and passenger of the present invention can understand the driving condition that driver is presently in real time, score in driving behavior relatively low
In the state of, driver is reminded, driver tired driving is avoided or drives in violation of rules and regulations;In addition, the present invention is by analyzing driving data
And to weigh the driving behavior of driver, and then the evaluation of the driving behavior to driver is completed, driving environment can be based on
Driving behavior to driver is analyzed, and correct guide is done to driver, avoids misleading, while improves the driving row of driver
For, and then reduce vehicle oil consumption.
Brief description of the drawings
Fig. 1 is the structure diagram of the present invention.
Embodiment
The technical solution of this patent is described in more detail with reference to embodiment.
Referring to Fig. 1, a kind of driving behavior analysis system, including the collection of driving information acquisition module, vehicle-periphery
Module, driver's fatigue degree measure module, data record and analysis module, judgment module, alarm module and evaluation module, institute
State driving information acquisition module, vehicle-periphery acquisition module and driver's fatigue degree's measure module and be all connected with data record
And analysis module, the other end connection judgment module of data record and analysis module, the other end of the judgment module connect respectively
Module taking alarm and evaluation module, the driving information acquisition module are used for the driving condition information of collection vehicle, vehicle periphery
Environment acquisition module is used for the ambient conditions of collection vehicle, and driver's fatigue degree measures module and is used to obtain driver's
Current fatigue data, data record and analysis module are used to receive the driving information acquisition module, vehicle-periphery collection mould
Block and driver's fatigue degree measure the information of module transmission, according to the driving condition information of vehicle, the surrounding environment shape of vehicle
Driving behavior of the degree of fatigue of condition and driver to driver is analyzed;Safe driving row is preset with the judgment module
For threshold value, to judge whether the driving behavior scoring matches the safe driving behavior asset pricing, and a judging result is formed
Output;The alarm module is when the judging result mismatches the safe driving behavior asset pricing for driving behavior scoring
Under state, alarm signal is sent;The driving that evaluation module is used for the driver for analyzing data record and analysis module is practised
It is used to be contrasted with default good driving habit, obtain the bad steering custom of driver.
The driving information of driving information acquisition module collection include the size of steering wheel angle, steering wheel rotating speed,
Automobile's instant velocity, wheel speed, the dynamics for trampling brake pedal, throttle trample dynamics, motor instant rotating speed, traveling gears.Drive letter
Cease acquisition module and steering wheel angle sensor, automobile electron stabilization control system and engine management system at least within it
One is connected, for gathering the size of steering wheel angle, the rotating speed of steering wheel, speed, wheel speed, the dynamics for trampling brake pedal, stepping on
The time point of brake-apply, the aperture of gas pedal and the driving condition letter for trampling the vehicles such as the time point of gas pedal
Breath.Specifically, driving information acquisition module is gathered the size and Orientation disk of steering wheel angle by steering wheel angle sensor
The information such as rotating speed, by automobile electron stabilization control system collection speed, wheel speed, the dynamics for trampling brake pedal, trample braking and step on
The information such as the time point of plate, are gathered the aperture of gas pedal by engine management system and are trampled time point of gas pedal etc.
Information.Wherein, the rotating speed of steering wheel can characterize the speed for the action for beating steering wheel, trample the dynamics of brake pedal and the system of trampling
The time point of dynamic pedal can characterize the timing and magnitude for trampling brake pedal, thus represent driver like bringing to a halt or
Slowly reduction of speed, the aperture of gas pedal and tramples time point of gas pedal and can characterize the timing and magnitude for trampling throttle,
So as to characterize the speed of vehicle launch speed.
The vehicle-periphery data of vehicle-periphery acquisition module collection include front truck quantity, rear car quantity,
The car of front truck and/or rear car residing for vertically and horizontally distance, track quantity, the track from residing for car, front truck and/or the rear car from car
Road, track line tracking, road edge track, surface evenness, road barrier object location and number.The vehicle-periphery is adopted
Collection module is connected with vehicle-mounted camera and trailer-mounted radar.
The driver's fatigue degree, which measures module, includes facial image acquisition unit, sight offset detection unit and current
Fatigue data extraction unit, facial image acquisition unit gather the current face image of driver, sight offset detection unit in real time
Driver head's posture is extracted, current fatigue data extraction unit is tired according to the current face image, head pose extraction
Labor feature vector, the current fatigue data is calculated further according to default fatigue characteristic vector calculation;The current fatigue
It is worth for head movement speed, head movement angular speed, eye movement speed, face orientation, direction of visual lines and frequency of wink, eye closing
Any one or a few in frequency, depth eye closing frequency.The current fatigue of driver is obtained by driver fatigue analyzer
Value;Data record and analysis module are according to current fatigue data, current driving behavior value, driving behavior of the acceleration magnitude to driver
Carry out calculating scoring operation, so as to form driving behavior scoring, safe driving behavior asset pricing is preset with, to judge the driving
Whether behavior scoring matches the safe driving behavior asset pricing, and forms judging result output;Alarm unit, in the judgement
As a result mismatched for driving behavior scoring under the safe driving behavior asset pricing state, send alarm signal;Driver and
Passenger understands the driving condition that driver is presently in real time, in the state of driving behavior scoring is relatively low, reminds driver, keeps away
Exempt from driver tired driving or drive in violation of rules and regulations.Remote service end receives and preserves the driving behavior scoring, passes through remote service
End preserves each driving behavior scoring record of driver.It is beneficial to driver safety driving.
By change frequency of the calculating vehicle automobile's instant velocity within the unit interval come, determine vehicle acceleration frequency and/or
Brake frequency, such as automobile's instant velocity decline then correspond to brake operation, and automobile's instant velocity, which rises, then to be corresponded to accelerate operation;Pass through oil
Door tramples change rate of the dynamics in the unit interval, and then determines the acceleration intensity of variation of vehicle, and it is direct that usual throttle tramples dynamics
Reflect the oil changes of vehicle, therefore, the change rate of dynamics is trampled by counting throttle can reflect the driving behavior of user
Whether it is to save oil consumption as acceleration behavior.In addition, for vehicle traveling gear for, traveling gears be with automobile's instant velocity,
Motor instant rotating speed is associated, and under a certain speed, only rational gear can just make the oil consumption of vehicle less, so as to drop
Low oil consumption.
Driver and passenger of the present invention can understand the driving condition that driver is presently in real time, score in driving behavior
In the state of relatively low, driver is reminded, driver tired driving is avoided or drives in violation of rules and regulations;In addition, the present invention is driven by analyzing
Data and to weigh the driving behavior of driver, and then complete the evaluation of the driving behavior to driver, can be based on driving
Driving behavior of the environment to driver is analyzed, and correct guide is done to driver, avoids misleading, while improves driving for driver
Behavior is sailed, and then reduces vehicle oil consumption.
The better embodiment of this patent is explained in detail above, but this patent is not limited to above-mentioned embodiment party
Formula, can also be on the premise of this patent objective not be departed from the knowledge that one skilled in the relevant art possesses
Various changes can be made.
Claims (6)
1. a kind of driving behavior analysis system, it is characterised in that including driving information acquisition module, vehicle-periphery collection mould
Block, driver's fatigue degree measure module, data record and analysis module, judgment module, alarm module and evaluation module, described
Driving information acquisition module, vehicle-periphery acquisition module and driver's fatigue degree measure module be all connected with data record and
The other end connection judgment module of analysis module, data record and analysis module, the other end of the judgment module connect respectively
Alarm module and evaluation module, the driving information acquisition module are used for the driving condition information of collection vehicle, vehicle periphery ring
Border acquisition module is used for the ambient conditions of collection vehicle, and driver's fatigue degree measures module and is used to obtain working as driver
Preceding fatigue data, data record and analysis module are used to receive the driving information acquisition module, vehicle-periphery acquisition module
The information of module transmission is measured with driver's fatigue degree, according to the driving condition information of vehicle, the ambient conditions of vehicle
Analyzed with the driving behavior of the degree of fatigue of driver to driver;Safe driving behavior is preset with the judgment module
Threshold value, to judge whether the driving behavior scoring matches the safe driving behavior asset pricing, and it is defeated to form a judging result
Go out;The alarm module is when the judging result mismatches the safe driving behavior asset pricing shape for driving behavior scoring
Under state, alarm signal is sent;Evaluation module is used for the driving habit for the driver for analyzing data record and analysis module
Contrasted with default good driving habit, obtain the bad steering custom of driver.
2. driving behavior analysis system according to claim 1, it is characterised in that the driving information acquisition module collection
Driving information include the size of steering wheel angle, the rotating speed of steering wheel, automobile's instant velocity, wheel speed, the dynamics for trampling brake pedal,
Throttle tramples dynamics, motor instant rotating speed, traveling gears.
3. driving behavior analysis system according to claim 1, it is characterised in that the vehicle-periphery acquisition module
The vehicle-periphery data of collection include front truck quantity, rear car quantity, front truck and/or rear car with from car vertically and horizontally distance,
Track, track line tracking, road edge track, road surface residing for track quantity, the track from residing for car, front truck and/or rear car
Flatness, road barrier object location and number.
4. driving behavior analysis system according to claim 1, it is characterised in that the vehicle-periphery acquisition module
It is connected with vehicle-mounted camera and trailer-mounted radar.
5. driving behavior analysis system according to claim 1, it is characterised in that the driver's fatigue degree measures mould
Block includes facial image acquisition unit, sight offset detection unit and current fatigue data extraction unit, facial image acquisition unit
The current face image of collection driver in real time, sight offset detection unit extraction driver head's posture, current fatigue data carry
Unit is taken according to the current face image, head pose extraction fatigue characteristic vector, further according to default fatigue characteristic
Vector calculation calculates the current fatigue data.
6. driving behavior analysis system according to claim 1, it is characterised in that the current fatigue data is head movement
Speed, head movement angular speed, eye movement speed, face orientation, direction of visual lines and frequency of wink, eye closing frequency, depth are closed
Eye frequency in any one or a few.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105303830A (en) * | 2015-09-15 | 2016-02-03 | 成都通甲优博科技有限责任公司 | Driving behavior analysis system and analysis method |
CN105564436A (en) * | 2016-02-24 | 2016-05-11 | 深圳市中天安驰有限责任公司 | Advanced driver assistance system |
CN105679020A (en) * | 2016-01-29 | 2016-06-15 | 深圳市美好幸福生活安全系统有限公司 | Driving behavior analysis device and method |
CN105719431A (en) * | 2016-03-09 | 2016-06-29 | 深圳市中天安驰有限责任公司 | Fatigue driving detection system |
CN106114515A (en) * | 2016-06-29 | 2016-11-16 | 北京奇虎科技有限公司 | Car steering behavior based reminding method and system |
CN106373216A (en) * | 2016-08-29 | 2017-02-01 | 上海航盛实业有限公司 | Vehicular video monitoring terminal |
CN106394559A (en) * | 2016-11-17 | 2017-02-15 | 吉林大学 | Multi-target driving behavior evaluation analytical method based on environmental perception information |
CN106600967A (en) * | 2016-11-29 | 2017-04-26 | 浙江广厦建设职业技术学院 | Driving behavior evaluation system and method thereof |
-
2017
- 2017-07-19 CN CN201710588402.1A patent/CN107972671A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105303830A (en) * | 2015-09-15 | 2016-02-03 | 成都通甲优博科技有限责任公司 | Driving behavior analysis system and analysis method |
CN105679020A (en) * | 2016-01-29 | 2016-06-15 | 深圳市美好幸福生活安全系统有限公司 | Driving behavior analysis device and method |
CN105564436A (en) * | 2016-02-24 | 2016-05-11 | 深圳市中天安驰有限责任公司 | Advanced driver assistance system |
CN105719431A (en) * | 2016-03-09 | 2016-06-29 | 深圳市中天安驰有限责任公司 | Fatigue driving detection system |
CN106114515A (en) * | 2016-06-29 | 2016-11-16 | 北京奇虎科技有限公司 | Car steering behavior based reminding method and system |
CN106373216A (en) * | 2016-08-29 | 2017-02-01 | 上海航盛实业有限公司 | Vehicular video monitoring terminal |
CN106394559A (en) * | 2016-11-17 | 2017-02-15 | 吉林大学 | Multi-target driving behavior evaluation analytical method based on environmental perception information |
CN106600967A (en) * | 2016-11-29 | 2017-04-26 | 浙江广厦建设职业技术学院 | Driving behavior evaluation system and method thereof |
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