CN107738645A - Vehicle control system - Google Patents
Vehicle control system Download PDFInfo
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- CN107738645A CN107738645A CN201710976491.7A CN201710976491A CN107738645A CN 107738645 A CN107738645 A CN 107738645A CN 201710976491 A CN201710976491 A CN 201710976491A CN 107738645 A CN107738645 A CN 107738645A
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Classifications
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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
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/14—Adaptive cruise control
-
- 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
-
- 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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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention discloses a kind of vehicle control system, the system includes at least one vehicle, central control unit, real-time road condition information acquiring unit；Described vehicle includes VCU control modules, sensor assembly, human-computer interaction module；The VCU modules can carry out information exchange with central control unit, and the sensor assembly includes at least one sensor, and the sensor, human-computer interaction module are connected with VCU control modules respectively.The present invention can realize the optimum programming of vehicle route, realize that energy consumption is minimum, time-consuming minimum；Corresponding control information can also be generated according to real-time road so that control strategy optimization.
Description
Technical field
The present invention relates to control field, more particularly to a kind of vehicle control system.
Background technology
In the prior art, the operation of vehicle, it will usually be related to two large problems, one, how to find suitable path；The
Two, how to obtain optimal control strategy.
For first point, suitable path, distance is directly generally calculated by navigating, it is optimal on the time；But often neglect
The influence of energy consumption and traffic light time to run time is omited；
For second point, typically cruise control, i.e., on road, keep a constant speed.And such speed, acceleration
Whether degree is suitable to current road conditions（Flatness, gradient, congestion）, it is not related to.
In order to solve the above problems, the present invention proposes a kind of vehicle control system.
The content of the invention
In order to solve the above problems, the present invention proposes a kind of vehicle control system, the system include at least one vehicle,
Central control unit, real-time road condition information acquiring unit；
Described vehicle includes VCU control modules, sensor assembly, human-computer interaction module；The VCU modules can be controlled with center
Unit processed carries out information exchange, and the sensor assembly includes at least one sensor, the sensor, human-computer interaction module point
It is not connected with VCU control modules；
The central control unit carries out data interaction with vehicle VCU control modules, real-time road condition information acquiring unit respectively；Institute
Central control unit is stated to be arranged to perform at least one of following function：
1）Path is carried out according at least one of the essential information of route and sensor historic data and real-time road condition information
Planning；
2）Control information is generated according at least one of real-time road condition information and sensor signal；
3）Carry out real-time vehicle early warning；
The essential information of the route includes the beginning and end of route；
The real-time road acquiring unit is used to obtain real-time road condition information, and the road condition information includes congestion information, road
Road flatness information.
Preferably, the sensor includes gyroscope, GPS module；
The gyroscope is arranged to detect the acceleration of vehicle；
The GPS module is configured to provide for location information；
The central control unit is arranged to the essential information according to route, sensor historic data, real-time road condition information
Carry out path planning.
Preferably, the sensor is also comprising vibrating sensor, camera, energy consumption sensor；
The vibrating sensor is arranged to detect traffic information；
The camera is arranged to obtain traffic lights information；
The energy consumption sensor is arranged to detect the consumption information of vehicle.
The central control unit is arranged to the essential information according to route, sensor historic data, real-time road
Information carries out path planning.
Now, path planning is carried out according to the essential information of route, sensor historic data, real-time road condition information, now
Sensor information contain traffic lights information.
The energy consumption sensor is configurable to oil consumption sensor, electrical power consumed sensor, flow sensor, pressure sensor
In one kind.
Preferably, the initial information in path can be provided in the following way,
1）Inputted by human-computer interaction module, then transmitted by VCU systems to central control unit；
2）VCU control systems are inserted in vehicle manufacture, then are transmitted by VCU systems to central control unit.
Preferably, the specific method of the generation control information is：
Comprehensive real-time road condition information and sensor information, generate control information；
The real-time road condition information includes flatness, the gradient of road；
The control information includes speed information, acceleration and deceleration information.
Preferably, the real-time vehicle early warning includes at least one following：
1）The sensor includes distance measuring sensor, and spacing early warning is carried out by ranging data；
2）The sensor includes camera in car, and giving fatigue pre-warning is carried out to the driving condition of driver；
3）Using the view data of camera, dangerous driving early warning is carried out；
4）Using GPS module, early warning of drifting off the course is carried out.
Preferably, the specific method by ranging data progress spacing early warning is：
1）Surrounding vehicles and the distance of Current vehicle are detected using distance measuring sensor；
2）If distance is more than threshold value, alarmed by VCU control units.
Preferably, the specific method of the driving condition progress giving fatigue pre-warning to driver is：
1）Using camera in car, the driving image of driver is detected；
2）Extract the eye areas of driver in image；
3）Judge whether eyes are in closed-eye state；
4）If eye-closing period is more than threshold value, alarmed by VCU control units.
Preferably, the view data using camera, the specific method for carrying out dangerous driving early warning are：
1）Using the image of a few frames before and after camera, travel direction is judged；
2）Extract the lane line information and sideline information in image；
3）Judge whether travel direction is more than threshold value with lane line angle；
4）If angle is more than threshold value, alarmed by VCU control units.
Preferably, the system also includes alarm unit, by VCU control units by controlling alarm unit to be reported
It is alert.
Preferably, the central control unit includes display unit, memory cell,
When abnormal alarm information occurs in the vehicle, the VCU control units send warning message, institute to central control unit
Warning message is stated to be labeled on the map of display unit.
On path planning, run time is obtained according to location information or gyro data, when being positioned at original position,
Start timing, when positioning reaches stop position, stop timing, so as to obtain run time；
Real-time road acquiring unit, obtains the scheduled time.
For some paths for being planned in real-time road acquiring unit, it is necessary to time be respectively T11, T12, T13,
T14 ... ...；
Above-mentioned path is gone to inquire about in historical data base, inquires about the light on and off temporal information of the red street lamp in each path, estimates certain for the moment
Quarter form traffic light time T21, T22, T23, T24 ... ... on the path；
Can be according to total time（Traffic light time and path planning time sum）, select suitable path；
Preferably, when face also include energy consumption sensor when, the energy consumption in each path is obtained from historical data base, respectively
For E1, E2, E3, E4 ... ...；
Preferably, according to path planning time, or traffic light time and path planning time sum, each weighted with energy consumption
After be added, by the path that sequential selection from small to large is optimal.
The beneficial effects of the present invention are：The optimum programming of vehicle route can be realized, realizes that energy consumption is minimum, takes most
It is small；Corresponding control information can also be generated according to real-time road so that control strategy optimization.
Embodiment
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now illustrate that the present invention's is specific
Embodiment.
The present invention proposes a kind of vehicle control system, and the system includes at least one vehicle, central control unit, in real time
Traffic information acquiring unit；
Described vehicle includes VCU control modules, sensor assembly, human-computer interaction module；The VCU modules can be controlled with center
Unit processed carries out information exchange, and the sensor assembly includes at least one sensor, the sensor, human-computer interaction module point
It is not connected with VCU control modules；
The central control unit carries out data interaction with vehicle VCU control modules, real-time road condition information acquiring unit respectively；Institute
Central control unit is stated to be arranged to perform at least one of following function：
1）Path is carried out according at least one of the essential information of route and sensor historic data and real-time road condition information
Planning；
2）Control information is generated according at least one of real-time road condition information and sensor signal；
3）Carry out real-time vehicle early warning；
The essential information of the route includes the beginning and end of route；
The real-time road acquiring unit is used to obtain real-time road condition information, and the road condition information includes congestion information, road
Road flatness information.
Preferably, the sensor includes gyroscope, GPS module；
The gyroscope is arranged to detect the acceleration of vehicle；
The GPS module is configured to provide for location information；
The central control unit is arranged to the essential information according to route, sensor historic data, real-time road condition information
Carry out path planning.
Preferably, the sensor is also comprising vibrating sensor, camera, energy consumption sensor；
The vibrating sensor is arranged to detect traffic information；
The camera is arranged to obtain traffic lights information；
The energy consumption sensor is arranged to detect the consumption information of vehicle.
The central control unit is arranged to the essential information according to route, sensor historic data, real-time road
Information carries out path planning.
Now, path planning is carried out according to the essential information of route, sensor historic data, real-time road condition information, now
Sensor information contain traffic lights information.
The energy consumption sensor is configurable to oil consumption sensor, electrical power consumed sensor, flow sensor, pressure sensor
In one kind.
Preferably, the initial information in path can be provided in the following way,
1）Inputted by human-computer interaction module, then transmitted by VCU systems to central control unit；
2）VCU control systems are inserted in vehicle manufacture, then are transmitted by VCU systems to central control unit.
Preferably, the specific method of the generation control information is：
Comprehensive real-time road condition information and sensor information, generate control information；
The real-time road condition information includes flatness, the gradient of road；
The control information includes speed information, acceleration and deceleration information.
Preferably, the real-time vehicle early warning includes at least one following：
1）The sensor includes distance measuring sensor, and spacing early warning is carried out by ranging data；
2）The sensor includes camera in car, and giving fatigue pre-warning is carried out to the driving condition of driver；
3）Using the view data of camera, dangerous driving early warning is carried out；
4）Using GPS module, early warning of drifting off the course is carried out.
Preferably, the specific method by ranging data progress spacing early warning is：
1）Surrounding vehicles and the distance of Current vehicle are detected using distance measuring sensor；
2）If distance is more than threshold value, alarmed by VCU control units.
Preferably, the specific method of the driving condition progress giving fatigue pre-warning to driver is：
1）Using camera in car, the driving image of driver is detected；
2）Extract the eye areas of driver in image；
3）Judge whether eyes are in closed-eye state；
4）If eye-closing period is more than threshold value, alarmed by VCU control units.
Preferably, the view data using camera, the specific method for carrying out dangerous driving early warning are：
1）Using the image of a few frames before and after camera, travel direction is judged；
2）Extract the lane line information and sideline information in image；
3）Judge whether travel direction is more than threshold value with lane line angle；
4）If angle is more than threshold value, alarmed by VCU control units.
Preferably, the system also includes alarm unit, by VCU control units by controlling alarm unit to be reported
It is alert.
Preferably, the central control unit includes display unit, memory cell,
When abnormal alarm information occurs in the vehicle, the VCU control units send warning message, institute to central control unit
Warning message is stated to be labeled on the map of display unit.
On path planning, run time is obtained according to location information or gyro data, when being positioned at original position,
Start timing, when positioning reaches stop position, stop timing, so as to obtain run time；
Real-time road acquiring unit, obtains the scheduled time.
For some paths for being planned in real-time road acquiring unit, it is necessary to time be respectively T11, T12, T13,
T14 ... ...；
Above-mentioned path is gone to inquire about in historical data base, inquires about the light on and off temporal information of the red street lamp in each path, estimates certain for the moment
Quarter form traffic light time T21, T22, T23, T24 ... ... on the path；
Can be according to total time（Traffic light time and path planning time sum）, select suitable path；
Preferably, when face also include energy consumption sensor when, the energy consumption in each path is obtained from historical data base, respectively
For E1, E2, E3, E4 ... ...；
Preferably, according to path planning time, or traffic light time and path planning time sum, each weighted with energy consumption
After be added, by the path that sequential selection from small to large is optimal.
It should be noted that for foregoing each embodiment of the method, in order to be briefly described, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should know, the application is not limited by described sequence of movement, because
For according to the application, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should
Know, embodiment described in this description belongs to preferred embodiment, involved action and unit not necessarily this Shen
Please be necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in some embodiment
Part, may refer to the associated description of other embodiment.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (10)
- A kind of 1. vehicle control system, it is characterised in that the system include at least one vehicle, central control unit, in real time Traffic information acquiring unit；Described vehicle includes VCU control modules, sensor assembly, human-computer interaction module；The VCU modules can be controlled with center Unit processed carries out information exchange, and the sensor assembly includes at least one sensor, the sensor, human-computer interaction module point It is not connected with VCU control modules；The central control unit carries out data interaction with vehicle VCU control modules, real-time road condition information acquiring unit respectively；Institute Central control unit is stated to be arranged to perform at least one of following function：1）Path is carried out according at least one of the essential information of route and sensor historic data and real-time road condition information Planning；2）Control information is generated according at least one of real-time road condition information and sensor signal；3）Carry out real-time vehicle early warning；The essential information of the route includes the beginning and end of route；The real-time road acquiring unit is used to obtain real-time road condition information, and the road condition information includes congestion information, road Road flatness information.
- 2. a kind of vehicle control system as claimed in claim 1, it is characterised in that the sensor includes gyroscope, GPS moulds Block；The gyroscope is arranged to detect the acceleration of vehicle；The GPS module is configured to provide for location information；The central control unit is arranged to the essential information according to route, sensor historic data, real-time road condition information Carry out path planning.
- 3. a kind of vehicle control system as claimed in claim 1, it is characterised in that the sensor also includes vibrating sensing Device, camera, energy consumption sensor；The vibrating sensor is arranged to detect traffic information；The camera is arranged to obtain traffic lights information；The energy consumption sensor is arranged to detect the consumption information of vehicle；The central control unit is arranged to the essential information according to route, sensor historic data, real-time road condition information Carry out path planning.
- 4. a kind of vehicle control system as described in one of claim 1-3, it is characterised in that can provide in the following way The initial information in path,1）Inputted by human-computer interaction module, then transmitted by VCU systems to central control unit；2）VCU control systems are inserted in vehicle manufacture, then are transmitted by VCU systems to central control unit.
- A kind of 5. vehicle control system as described in one of claim 1-3, it is characterised in that the tool of the generation control information Body method is：Comprehensive real-time road condition information and sensor information, generate control information；The real-time road condition information includes flatness, the gradient of road；The control information includes speed information, acceleration and deceleration information.
- 6. a kind of vehicle control system as described in one of claim 1-3, it is characterised in that the real-time vehicle early warning includes At least one of following：1）The sensor includes distance measuring sensor, and spacing early warning is carried out by ranging data；2）The sensor includes camera in car, and giving fatigue pre-warning is carried out to the driving condition of driver；3）Using the view data of camera, dangerous driving early warning is carried out；4）Using GPS module, early warning of drifting off the course is carried out.
- 7. a kind of vehicle control system as described in one of claim 6, it is characterised in that described that driving is entered by ranging data Specific method away from early warning is：1）Surrounding vehicles and the distance of Current vehicle are detected using distance measuring sensor；2）If distance is more than threshold value, alarmed by VCU control units.
- A kind of 8. vehicle control system as described in one of claim 6, it is characterised in that the driving condition to driver Carry out giving fatigue pre-warning specific method be：1）Using camera in car, the driving image of driver is detected；2）Extract the eye areas of driver in image；3）Judge whether eyes are in closed-eye state；4）If eye-closing period is more than threshold value, alarmed by VCU control units.
- A kind of 9. vehicle control system as described in one of claim 6, it is characterised in that the picture number using camera According to the specific method for carrying out dangerous driving early warning is：1）Using the image of a few frames before and after camera, travel direction is judged；2）Extract the lane line information and sideline information in image；3）Judge whether travel direction is more than threshold value with lane line angle；4）If angle is more than threshold value, alarmed by VCU control units.
- 10. a kind of vehicle control system as described in one of claim 7-9, it is characterised in that the system is also comprising alarm Unit, by VCU control units by controlling alarm unit to be alarmed, the central control unit includes display unit, deposited Storage unit, when abnormal alarm information occurs in the vehicle, the VCU control units send alarm signal to central control unit Breath, the warning message are labeled on the map of display unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710976491.7A CN107738645A (en) | 2017-10-19 | 2017-10-19 | Vehicle control system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710976491.7A CN107738645A (en) | 2017-10-19 | 2017-10-19 | Vehicle control system |
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| CN107738645A true CN107738645A (en) | 2018-02-27 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108928313A (en) * | 2018-04-27 | 2018-12-04 | 李德祥 | A kind of vehicle safety control system for electric vehicle |
| CN113015885A (en) * | 2018-11-13 | 2021-06-22 | 麦格纳国际公司 | System and method for vehicle routing using big data |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393029A (en) * | 2007-09-17 | 2009-03-25 | 王保合 | Automobile navigation apparatus and navigation system using the same |
| CN101645200A (en) * | 2009-08-19 | 2010-02-10 | 深圳华为通信技术有限公司 | Navigation path selecting method and device |
| CN103921788A (en) * | 2014-04-02 | 2014-07-16 | 奇瑞汽车股份有限公司 | Automobile traveling control system and automobile traveling control method |
| KR20140098609A (en) * | 2013-01-31 | 2014-08-08 | 한국기술교육대학교 산학협력단 | Road condition estimating system and a method for estimating a road condition using the same |
| CN104567907A (en) * | 2015-01-22 | 2015-04-29 | 四川汇源吉迅数码科技有限公司 | Method for real-time path planning based on dynamic feedback |
| CN105620475A (en) * | 2016-03-02 | 2016-06-01 | 上海航盛实业有限公司 | Intelligent drive system with safety protection function |
| CN105788367A (en) * | 2016-05-16 | 2016-07-20 | 乐视控股（北京）有限公司 | Vehicle driving normalization prompting method and device |
| CN105892464A (en) * | 2016-04-29 | 2016-08-24 | 大连楼兰科技股份有限公司 | Automatic driving system and driving method for special vehicle based on fixed route |
| US20170146359A1 (en) * | 2015-11-24 | 2017-05-25 | Inventec (Pudong) Technology Corporation | Vehicle route planning system |
| CN106919913A (en) * | 2017-02-21 | 2017-07-04 | 上海蔚来汽车有限公司 | Method for detecting fatigue driving and device based on computer vision |
| CN106970619A (en) * | 2017-04-12 | 2017-07-21 | 深圳市赛亿科技开发有限公司 | The intelligence control system and control method of a kind of automatic driving vehicle |
| CN106976460A (en) * | 2017-05-18 | 2017-07-25 | 益阳市首航电子科技有限公司 | Safe driving of vehicle TT＆C system |
-
2017
- 2017-10-19 CN CN201710976491.7A patent/CN107738645A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393029A (en) * | 2007-09-17 | 2009-03-25 | 王保合 | Automobile navigation apparatus and navigation system using the same |
| CN101645200A (en) * | 2009-08-19 | 2010-02-10 | 深圳华为通信技术有限公司 | Navigation path selecting method and device |
| KR20140098609A (en) * | 2013-01-31 | 2014-08-08 | 한국기술교육대학교 산학협력단 | Road condition estimating system and a method for estimating a road condition using the same |
| CN103921788A (en) * | 2014-04-02 | 2014-07-16 | 奇瑞汽车股份有限公司 | Automobile traveling control system and automobile traveling control method |
| CN104567907A (en) * | 2015-01-22 | 2015-04-29 | 四川汇源吉迅数码科技有限公司 | Method for real-time path planning based on dynamic feedback |
| US20170146359A1 (en) * | 2015-11-24 | 2017-05-25 | Inventec (Pudong) Technology Corporation | Vehicle route planning system |
| CN105620475A (en) * | 2016-03-02 | 2016-06-01 | 上海航盛实业有限公司 | Intelligent drive system with safety protection function |
| CN105892464A (en) * | 2016-04-29 | 2016-08-24 | 大连楼兰科技股份有限公司 | Automatic driving system and driving method for special vehicle based on fixed route |
| CN105788367A (en) * | 2016-05-16 | 2016-07-20 | 乐视控股（北京）有限公司 | Vehicle driving normalization prompting method and device |
| CN106919913A (en) * | 2017-02-21 | 2017-07-04 | 上海蔚来汽车有限公司 | Method for detecting fatigue driving and device based on computer vision |
| CN106970619A (en) * | 2017-04-12 | 2017-07-21 | 深圳市赛亿科技开发有限公司 | The intelligence control system and control method of a kind of automatic driving vehicle |
| CN106976460A (en) * | 2017-05-18 | 2017-07-25 | 益阳市首航电子科技有限公司 | Safe driving of vehicle TT＆C system |
Non-Patent Citations (1)
| Title |
|---|
| 高洪一等: "《汽车电子技术》", 31 August 2007 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108928313A (en) * | 2018-04-27 | 2018-12-04 | 李德祥 | A kind of vehicle safety control system for electric vehicle |
| CN113015885A (en) * | 2018-11-13 | 2021-06-22 | 麦格纳国际公司 | System and method for vehicle routing using big data |
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Application publication date: 20180227 |