CN104408922A - Scoring method for driving behavior based on Beidou navigation - Google Patents
Scoring method for driving behavior based on Beidou navigation Download PDFInfo
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- CN104408922A CN104408922A CN201410718605.4A CN201410718605A CN104408922A CN 104408922 A CN104408922 A CN 104408922A CN 201410718605 A CN201410718605 A CN 201410718605A CN 104408922 A CN104408922 A CN 104408922A
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Abstract
The invention discloses a scoring method for driving behavior based on Beidou navigation and relates to the technical field of devices or methods for determining the speed or overspeed. The method comprises the following steps: firstly, a cloud server acquires status information of vehicle-mounted navigation equipment through a wireless network; secondly, the cloud server processes the acquired status information of the vehicle-mounted navigation equipment to obtain status information of a vehicle; thirdly, the cloud server comprehensively processes the status information of the vehicle and giving out the scoring for the driving behavior. According to the method, as long as the vehicle is equipped with the Beidou navigation equipment, the computation on the cloud server and the evaluating and the scoring for the driving behavior of a vehicle owner are realized. Compared with the traditional method, the scoring method has the characteristics of high simplicity for data acquisition, low cost, and high simplicity for data processing, and has a better popularization and application prospect.
Description
Technical field
The present invention relates to the device or method and technology field that have and determine speed or hypervelocity, particularly relate to that a kind of data acquisition is simple, with low cost, data processing is simply based on Beidou navigation driving behavior methods of marking.
Background technology
At present, in the middle of vehicle operation, due to the improper of vehicle driver's driving behavior, phenomenon that is that cause traffic to go wrong often occurs, so not only can impact normal traffic order, and certain threat can be formed to the safety of vehicle driver, therefore detection is carried out to the driving behavior of vehicle driver and seem very necessary.Traditional driving behavior recognition methods, needs the sensor facility information installing automobile bus data acquisition equipment, each operational module of user at vehicle additional, and carry out computing assessment, system complex in conjunction with complicated model, cost is high, and data processing amount is larger.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of based on Beidou navigation driving behavior methods of marking, and described methods of marking has that data acquisition is simple, with low cost, the simple feature of data processing.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of based on Beidou navigation driving behavior methods of marking, it is characterized in that, comprising:
(1) cloud server gathers the status information of in-vehicle navigation apparatus by wireless network;
(2) cloud server carries out process acquisition car status information to the in-vehicle navigation apparatus status information gathered;
(3) cloud server to car status information carry out overall treatment provide driving behavior scoring.
Further technical scheme is, described methods of marking also comprises: cloud server sends driving behavior scoring to relevant departments and backs up, relevant departments monitor the lower vehicle of scoring emphatically according to driving behavior scoring, and occur that many regional emphasis are deployed troops on garrison duty to the lower vehicle of driving behavior scoring.
Further technical scheme is, described car status information comprises: the anxious number of times that gives it the gun of high vehicle speeds number of times, vehicle, the anxious Reduced Speed Now number of times of vehicle, the late into the night drive duration, fatigue driving number of times, idling duration.
Further technical scheme is, cloud server provides driving behavior scoring according to following formula: driving behavior scoring=individual event vehicle-state score * weight accounting+individual event vehicle-state score * weight accounting ... + individual event vehicle-state score * weight accounting.
Further technical scheme is, high vehicle speeds number of times weight accounting is 10%, the anxious number of times weight accounting 20% of giving it the gun of vehicle, vehicle anxious Reduced Speed Now number of times weight accounting 20%, drive duration weight accounting 10% late into the night, fatigue driving number of times weight accounting 15%, idling duration weight accounting 25%.
Further technical scheme is, described high vehicle speeds number of times is: gather from apparatus for vehicle navigation, and in the location point velocity information uploaded per second, extract the number of times more than 100KM/h, wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious number of times that gives it the gun of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and acceleration is forward, then think anxious acceleration, and wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious Reduced Speed Now number of times of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and be negative sense, then think to bring to a halt, wherein in 1 minute, continuous several times exceedes, and only calculates once; The described late into the night drives duration: the time gathered according to location point, obtains the time of driving vehicle between 22 points-next day 4 this day, by hour in units of; Described fatigue driving number of times is: the time gathered according to location point, obtains user and to drive duration, the number of times of driving more than 4 hours continuously; Described idling duration is: by in-vehicle navigation apparatus acquisition speed, is that the time of the location point of 0 gathers to speed, be then idling duration.
Further technical scheme is, described wireless network is gsm wireless network.
Further technical scheme is, described in-vehicle navigation apparatus is vehicle-mounted Beidou navigation equipment.
The beneficial effect adopting technique scheme to produce is: this method only needs vehicle to possess Beidou navigation equipment, computing can be carried out by server beyond the clouds, assessment marking is carried out to car owner's driving behavior, classic method is compared, described methods of marking has that data acquisition is simple, with low cost, the simple feature of data processing, possesses and promotes preferably and prospect of the application.In addition, traffic control department marks according to driving behavior, monitors emphatically to the lower vehicle of scoring, and occurs that many regional emphasis are deployed troops on garrison duty to the lower vehicle of driving behavior scoring, improves public safe class.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Fig. 1 is the process flow diagram of the method for the invention;
Fig. 2 is system principle diagram corresponding to the method for the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Set forth a lot of detail in the following description so that fully understand the present invention, but the present invention can also adopt other to be different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention, therefore the present invention is by the restriction of following public specific embodiment.
As shown in Figure 1-2, the invention discloses a kind of based on Beidou navigation driving behavior methods of marking, described methods of marking comprises: (1) cloud server gathers the status information of in-vehicle navigation apparatus by wireless network, described wireless network can be gsm wireless network, can also be other wireless networks certainly; (2) cloud server carries out process acquisition car status information to the in-vehicle navigation apparatus status information gathered; (3) cloud server to car status information carry out overall treatment provide driving behavior scoring; (4) driving behavior scoring is sent to relevant departments and backs up by cloud server, traffic control department marks according to driving behavior, emphatically the lower vehicle of scoring is monitored, and the lower vehicle of driving behavior scoring is occurred that many regional emphasis are deployed troops on garrison duty, improve public safe class.Described in-vehicle navigation apparatus can be vehicle-mounted Beidou navigation equipment in this application, can also be other navigator certainly, as long as have vehicle location and speed measuring function.
Concrete, described car status information comprises high vehicle speeds number of times, the anxious number of times that gives it the gun of vehicle, the anxious Reduced Speed Now number of times of vehicle, the late into the night drive duration, fatigue driving number of times, idling duration.Described high vehicle speeds number of times is: gather from apparatus for vehicle navigation, and in the location point velocity information uploaded per second, extract the number of times more than 100KM/h, wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious number of times that gives it the gun of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and acceleration is forward, then think anxious acceleration, and wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious Reduced Speed Now number of times of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and be negative sense, then think to bring to a halt, wherein in 1 minute, continuous several times exceedes, and only calculates once; The described late into the night drives duration: the time gathered according to location point, obtains the time of driving vehicle between 22 points-next day 4 this day, by hour in units of; Described fatigue driving number of times is: the time gathered according to location point, obtains user and to drive duration, the number of times of driving more than 4 hours continuously; Described idling duration is: by in-vehicle navigation apparatus acquisition speed, is that the time of the location point of 0 gathers to speed, be then idling duration.
Driving behavior scoring highest score is 100 points, so minimum that to be divided into 10 points.Concrete, driving behavior scoring=individual event vehicle-state score * weight accounting+individual event vehicle-state score * weight accounting ... + individual event vehicle-state score * weight accounting.High vehicle speeds number of times weight accounting is 10%, the anxious number of times weight accounting of giving it the gun of vehicle is 20%, and vehicle anxious Reduced Speed Now number of times weight accounting is 20%, and driving duration weight accounting the late into the night is 10%, fatigue driving number of times weight accounting is 15%, and idling duration weight accounting is 25%.Wherein the computing method of each individual event vehicle-state score are as shown in Table 1 and Table 2:
Table 1
Table 2
According to the score calculated, grading is carried out to client as shown in table 3, highest 5 stars, minimum 1 star.
Table 3
| Score | 0 ~ 59 point | 60 ~ 69 points | 70 ~ 79 points | 80 ~ 89 points | 90 ~ 100 points |
| Star | 1 star | 2 stars | 3 stars | 4 stars | 5 stars |
This method only needs vehicle to possess Beidou navigation equipment, computing can be carried out by server beyond the clouds, assessment marking is carried out to car owner's driving behavior, classic method is compared, described methods of marking has that data acquisition is simple, with low cost, the simple feature of data processing, possesses and promotes preferably and prospect of the application.In addition, traffic control department marks according to driving behavior, monitors emphatically to the lower vehicle of scoring, and occurs that many regional emphasis are deployed troops on garrison duty to the lower vehicle of driving behavior scoring, improves public safe class.
Claims (8)
1., based on a Beidou navigation driving behavior methods of marking, it is characterized in that, comprising:
(1) cloud server gathers the status information of in-vehicle navigation apparatus by wireless network;
(2) cloud server carries out process acquisition car status information to the in-vehicle navigation apparatus status information gathered;
(3) cloud server to car status information carry out overall treatment provide driving behavior scoring.
2. according to claim 1 based on Beidou navigation driving behavior methods of marking, it is characterized in that described methods of marking also comprises: cloud server sends driving behavior scoring to relevant departments and backs up.
3. according to claim 1 based on Beidou navigation driving behavior methods of marking, it is characterized in that described car status information comprises: the anxious number of times that gives it the gun of high vehicle speeds number of times, vehicle, the anxious Reduced Speed Now number of times of vehicle, the late into the night drive duration, fatigue driving number of times, idling duration.
4. according to claim 3 based on Beidou navigation driving behavior methods of marking, it is characterized in that cloud server provides driving behavior scoring according to following formula: driving behavior scoring=individual event vehicle-state score * weight accounting+individual event vehicle-state score * weight accounting ... + individual event vehicle-state score * weight accounting.
5. according to claim 4 based on Beidou navigation driving behavior methods of marking, it is characterized in that: high vehicle speeds number of times weight accounting is 10%, the anxious number of times weight accounting of giving it the gun of vehicle is 20%, vehicle anxious Reduced Speed Now number of times weight accounting is 20%, driving duration weight accounting the late into the night is 10%, fatigue driving number of times weight accounting is 15%, and idling duration weight accounting is 25%.
6. according to claim 3 based on Beidou navigation driving behavior methods of marking, it is characterized in that described high vehicle speeds number of times is: gather from apparatus for vehicle navigation, in the location point velocity information uploaded per second, extract the number of times more than 100KM/h, wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious number of times that gives it the gun of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and acceleration is forward, then think anxious acceleration, and wherein in 1 minute, continuous several times exceedes, and only calculates once; The anxious Reduced Speed Now number of times of described vehicle is: by the changing value of speed in short period, calculate acceleration, when acceleration exceedes reasonable threshold values, and be negative sense, then think to bring to a halt, wherein in 1 minute, continuous several times exceedes, and only calculates once; The described late into the night drives duration: the time gathered according to location point, obtains the time of driving vehicle between 22 points-next day 4 this day, by hour in units of; Described fatigue driving number of times is: the time gathered according to location point, obtains user and to drive duration, the number of times of driving more than 4 hours continuously; Described idling duration is: by in-vehicle navigation apparatus acquisition speed, is that the time of the location point of 0 gathers to speed, be then idling duration.
7. according to claim 1 based on Beidou navigation driving behavior methods of marking, it is characterized in that: described wireless network is gsm wireless network.
8. according in claim 1-7 described in any one based on Beidou navigation driving behavior methods of marking, it is characterized in that: described in-vehicle navigation apparatus is vehicle-mounted Beidou navigation equipment.
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| CN105185112A (en) * | 2015-08-21 | 2015-12-23 | 深圳市北斗软核信息技术有限公司 | Driving behavior analysis and recognition method and system |
| CN106202872A (en) * | 2016-06-27 | 2016-12-07 | 江苏迪纳数字科技股份有限公司 | Vehicle driving behavior scoring method |
| CN106289288A (en) * | 2015-05-29 | 2017-01-04 | 深圳市腾讯计算机***有限公司 | A kind of navigation information broadcasting method and device |
| CN106448150A (en) * | 2016-06-27 | 2017-02-22 | 江苏智通交通科技有限公司 | Whole-process key vehicle supervision system and method |
| CN106803008A (en) * | 2017-02-15 | 2017-06-06 | 武汉极目智能技术有限公司 | A kind of real-time driving behavior methods of marking and system based on ADAS systems |
| CN107038860A (en) * | 2016-11-18 | 2017-08-11 | 杭州好好开车科技有限公司 | A kind of user's driving behavior methods of marking based on ADAS technologies and regression model |
| CN107161153A (en) * | 2017-06-16 | 2017-09-15 | 北京车薄荷科技有限公司 | A kind of driving behavior methods of marking and device |
| CN107563931A (en) * | 2017-08-16 | 2018-01-09 | 上海经达信息科技股份有限公司 | A kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data |
| CN108717591A (en) * | 2018-04-08 | 2018-10-30 | 江苏农林职业技术学院 | Farm machinery management dispatching platform based on the Big Dipper and internet |
| CN109325705A (en) * | 2018-10-11 | 2019-02-12 | 北京三驰惯性科技股份有限公司 | A kind of driving habit methods of marking and system based on inertia integration technology |
| CN110239560A (en) * | 2019-07-08 | 2019-09-17 | 瞬联软件科技（北京）有限公司 | A kind of safe driving habits methods of marking and device |
| CN110276954A (en) * | 2019-06-28 | 2019-09-24 | 青岛无车承运服务中心有限公司 | Vehicle driving behavior integration methods of marking based on BEI-DOU position system |
| CN110320545A (en) * | 2018-03-30 | 2019-10-11 | 中科院微电子研究所昆山分所 | A kind of sudden turn of events speed recognition methods, device, system |
| CN111192450A (en) * | 2019-11-19 | 2020-05-22 | 惠州市德赛西威汽车电子股份有限公司 | Networked vehicle management method and system |
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| CN109927730B (en) * | 2019-03-26 | 2021-01-26 | 武汉极目智能技术有限公司 | Real-time fatigue driving behavior scoring system and method based on DMS system |
| CN113379945A (en) * | 2021-07-26 | 2021-09-10 | 陕西天行健车联网信息技术有限公司 | Vehicle driving behavior analysis device, method and system |
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| CN106448150A (en) * | 2016-06-27 | 2017-02-22 | 江苏智通交通科技有限公司 | Whole-process key vehicle supervision system and method |
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| CN110320545A (en) * | 2018-03-30 | 2019-10-11 | 中科院微电子研究所昆山分所 | A kind of sudden turn of events speed recognition methods, device, system |
| CN108717591A (en) * | 2018-04-08 | 2018-10-30 | 江苏农林职业技术学院 | Farm machinery management dispatching platform based on the Big Dipper and internet |
| CN109325705A (en) * | 2018-10-11 | 2019-02-12 | 北京三驰惯性科技股份有限公司 | A kind of driving habit methods of marking and system based on inertia integration technology |
| CN109927730B (en) * | 2019-03-26 | 2021-01-26 | 武汉极目智能技术有限公司 | Real-time fatigue driving behavior scoring system and method based on DMS system |
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| CN110239560A (en) * | 2019-07-08 | 2019-09-17 | 瞬联软件科技（北京）有限公司 | A kind of safe driving habits methods of marking and device |
| CN111192450A (en) * | 2019-11-19 | 2020-05-22 | 惠州市德赛西威汽车电子股份有限公司 | Networked vehicle management method and system |
| CN111536985A (en) * | 2020-04-02 | 2020-08-14 | 东软睿驰汽车技术（沈阳）有限公司 | Planned route evaluation method and device, electronic equipment and storage medium |
| CN113379945A (en) * | 2021-07-26 | 2021-09-10 | 陕西天行健车联网信息技术有限公司 | Vehicle driving behavior analysis device, method and system |
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