CN104346842A - Driving behavior grade score calculation system - Google Patents
Driving behavior grade score calculation system Download PDFInfo
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- CN104346842A CN104346842A CN201310356063.6A CN201310356063A CN104346842A CN 104346842 A CN104346842 A CN 104346842A CN 201310356063 A CN201310356063 A CN 201310356063A CN 104346842 A CN104346842 A CN 104346842A
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- 238000004458 analytical method Methods 0.000 abstract description 3
- 239000000446 fuel Substances 0.000 description 4
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Abstract
The invention relates to a driving behavior grade score calculation system which comprises a driving behavior deduction unit, a data processing module and an oil consumption score summing unit, and is characterized in that the driving behavior deduction unit performs accumulation calculation according to an actual bad driving behavior; the oil consumption score summing unit calculates a score according to set formulas of actual hundred kilometer oil consumption and standard hundred kilometer oil consumption and performs accumulated score summing; the data processing module performs total score calculation on the driving behavior deduction unit and the oil consumption score summing unit, and calculates a corresponding star grade according to the score. By a series of the driving deduction units, a result behavior is subjected to detailed analysis, so that the final result is accurate and objective; by the arrangement of the oil consumption score summing unit, hundred kilometer oil consumption is concerned, so that the cost of a driver is lowered, and the driving efficiency and the safety are improved.
Description
Technical field
The invention provides a kind of driving points-scoring system, particularly relate to the system that a kind of driving behavior rating score calculates.
Background technology
Driving behavior intelligent analytical instrument, driving behavior mathematics Moses model is built based on automobile dynamics principle, vehicle status data is in the process of moving gathered, records and analyzed, pass through wireless network communication, the information such as the running status of automobile, positional information, distance travelled, travel speed are uploaded to center analysis system in real time, the driving behavior of driver and driving condition comprehensively being analyzed and intelligent evaluation, when there is abnormal driving behavior, reporting to the police to system or designated mobile phone.
Therefore, driving behavior is assessed, the generation of the dangerous driving results such as gradually traffic hazard that are conducive to shutting out in time.And existing can only analytical equipment refinement not enough, be only carry out analyzing and early warning for certain independent driving behavior, do not have precise effect.And, do not add the data of assessment fuel consumption yet, traveling can not be assessed whether fuel-efficient.
Summary of the invention
The object of the present invention is to provide one refinement can analyze driving behavior, and the analytic system of oil consumption test and appraisal can be taken into account.
For achieving the above object, present invention employs following technical scheme:
A kind of driving behavior rating score computing system, comprise driving behavior deduction unit, data processing module, oil consumption add subdivision, wherein, described driving behavior deduction unit carries out accumulation calculating according to actual bad steering behavior; Described oil consumption adds the setting formulae discovery mark of subdivision according to actual hundred kilometers of oil consumptions and standard hundred kilometers of oil consumptions, carries out accumulation bonus point; Described data processing module adds subdivision to above-mentioned driving behavior deduction unit and oil consumption and carries out total score calculating, and calculates corresponding star according to mark.
Preferably, described driving behavior deduction unit comprises suddenly acceleration deduction unit, anxious deceleration deduction unit, zig zag deduction unit, rotating speed and does not mate deduction unit, high rotating speed deduction unit and hypervelocity deduction unit.
Compared with prior art, the invention has the advantages that:
(1) by a series of driving deduction unit, refinement analysis is carried out in result behavior, make last result more accurate, objective;
(2) by arranging oil consumption deduction unit, more paying close attention to fuel consumption per hundred kilometers, helping driver to reduce cost, improving efficiency of driving.
Embodiment
1, sky driving behavior rating score computing method
● if the same day does not have steering vehicle, then disregard point counting number.
● if drove vehicle the same day, then system carries out corresponding bonus point or deduction according to driving behavior achievement data, the final score=total deduction of 90-driving behavior+hundred kilometers of oil consumption bonus point.
2, driving behavior deduction unit computing method
Total deduction=urgency is accelerated deduction+urgency deduction+zig zag deduction+rotating speed that slows down and is not mated deduction+high rotating speed deduction+hypervelocity deduction
2.1, bad steering behavior deduction computing method
If s represents total deduction, a represents first time deduction, and t represents that this bad behavior has detained 90 points more than t time, and n represents the actual frequency of this bad behavior, and d represents deduction equal difference, then this bad behavior should be deducted points:
3, hundred kilometers of oil consumption bonus point computing method
Hundred kilometers of oil consumption marks 10 points altogether, if X1 represents full marks number percent, X2 represents zero number percent, and fn represents standard hundred kilometers of oil consumptions, the f same day hundred kilometers of oil consumptions, then hundred kilometers of oil consumption bonus point computing method are:
Y is hundred kilometers of last bonus point of oil consumption.
4, moon driving behavior rating score computing method
Moon driving behavior mark is the average of of that month sky driving behavior mark summation, if certain sky does not have steering vehicle, then does not participate in calculating.
5, star computing method
A star number=" rating score/10 " * 0.5
6, instantiation
Suppose that current time is on 07 07th, 2013, system adopts following parameter configuration to calculate driving behavior rating score: table 1 is driving behavior parameter configuration
Table 1
Fuel consumption parameters configuration is as shown in table 2:
Table 2
Fuel consumption per hundred kilometers | Minimum % | The highest % |
10 | 70% | 150% |
The driving behavior rating score of 07 month every day is as table 3:
Table 3
07 driving behavior evaluation score month in and month out=(92+53+79+68+89+96+91)/7=81 (dividing)
A 07 star number=" 81 " * 0.5=4 () month in and month out
Attached: to calculate the driving behavior rating score of 07-02
Anxious deduction of accelerating is as table 4:d=2.0* (90-2*20)/(20*20-20)=5/19
Table 4
The N time | 1 | 2 | 3 | 4 | 5 | 6 |
Single is deducted points | 2 | 2 | 2 | 3 | 3 | 3 |
Total penalties | 2 | 4 | 6 | 9 | 12 | 15 |
Anxious deceleration deduction is as table 5:d=2.0* (90-4*10)/(10*10-10)=10/9
Table 5
The N time | 1 | 2 | 3 | 4 |
Single is deducted points | 4 | 5 | 6 | 7 |
Total penalties | 4 | 9 | 15 | 22 |
Zig zag deduction is as table 6:d=2.0* (90-2*20)/(20*20-20)=5/19
Table 6
The N time | 1 | 2 | 3 |
Single is deducted points | 2 | 2 | 2 |
Total penalties | 2 | 4 | 6 |
Hundred kilometers of oil consumption bonus point: a=10/ (70%-150%)=-12.5
b=10/(150%-70%)*150%=75/4
x=10/10=1
Y=-12.5*1+75/4=25/4=6 (dividing)
Therefore: the rating score=total deduction of 90-driving behavior+hundred kilometers oil consumption bonus point=90-(15+22+6)+6=53 (dividing)
A star number=" 53 " * 0.5=2.5 ()
To sum up shape, structure and combination thereof, completes the design structure of this driving behavior rating score computing system.Really; described structure structure is only preferred embodiment of the present invention; and unrestricted practical range of the present invention, the equivalence change that the structure described in all rights protection scopes according to the present invention, feature are done or modify, all belongs in the protection domain of technical solution of the present invention.
Claims (2)
1. a driving behavior rating score computing system, comprises driving behavior deduction unit, data processing module, oil consumption adds subdivision, it is characterized in that:
Described driving behavior deduction unit carries out accumulation according to actual bad steering behavior and calculates;
Described oil consumption adds the setting formulae discovery mark of subdivision according to actual hundred kilometers of oil consumptions and standard hundred kilometers of oil consumptions, carries out accumulation bonus point;
Described data processing module adds subdivision to above-mentioned driving behavior deduction unit and oil consumption and carries out total score calculating, and calculates corresponding star according to mark.
2. driving behavior rating score computing system according to claim 1, is characterized in that: described driving behavior deduction unit comprise suddenly accelerate deduction unit, anxious deceleration deduction unit, zig zag deduction unit, rotating speed do not mate deduction unit, high rotating speed deduction unit and hypervelocity deduction unit.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105489012A (en) * | 2016-01-11 | 2016-04-13 | 厦门雅迅网络股份有限公司 | Bad driving behavior degree analyzing method and device |
CN109584459A (en) * | 2017-10-18 | 2019-04-05 | 宁波轩悦行电动汽车服务有限公司 | The power saving drive advice method of electric car leasing system |
CN110738749A (en) * | 2018-07-18 | 2020-01-31 | 丰田自动车株式会社 | In-vehicle device, information processing device, and information processing method |
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 |
CN112734144A (en) * | 2019-10-14 | 2021-04-30 | 中移智行网络科技有限公司 | Driving behavior evaluation method and device, storage medium and computer equipment |
CN113128863A (en) * | 2021-04-16 | 2021-07-16 | 长春工业大学 | Duration-based bad driving behavior evaluation method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1515034A1 (en) * | 2002-05-10 | 2005-03-16 | Isuzu Motors Limited | Fuel efficient driving evaluator and method of evaluating fuel efficient driving |
US20090091439A1 (en) * | 2006-04-25 | 2009-04-09 | Hiroaki Sekiyama | Vehicle environmental service system |
CN101676689A (en) * | 2008-08-21 | 2010-03-24 | 爱信艾达株式会社 | Driving evaluation system and driving evaluation method |
CN102576497A (en) * | 2009-08-27 | 2012-07-11 | 株式会社月神 | Driving evaluation method |
CN102800136A (en) * | 2011-05-25 | 2012-11-28 | 株式会社审调社 | Drive evaluation system, drive evaluation program, and drive evaluation method |
JP2013092127A (en) * | 2011-10-26 | 2013-05-16 | Toyota Motor East Japan Inc | Eco-driving support device |
-
2013
- 2013-08-06 CN CN201310356063.6A patent/CN104346842A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1515034A1 (en) * | 2002-05-10 | 2005-03-16 | Isuzu Motors Limited | Fuel efficient driving evaluator and method of evaluating fuel efficient driving |
US20090091439A1 (en) * | 2006-04-25 | 2009-04-09 | Hiroaki Sekiyama | Vehicle environmental service system |
CN101676689A (en) * | 2008-08-21 | 2010-03-24 | 爱信艾达株式会社 | Driving evaluation system and driving evaluation method |
CN102576497A (en) * | 2009-08-27 | 2012-07-11 | 株式会社月神 | Driving evaluation method |
CN102800136A (en) * | 2011-05-25 | 2012-11-28 | 株式会社审调社 | Drive evaluation system, drive evaluation program, and drive evaluation method |
JP2013092127A (en) * | 2011-10-26 | 2013-05-16 | Toyota Motor East Japan Inc | Eco-driving support device |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105489012A (en) * | 2016-01-11 | 2016-04-13 | 厦门雅迅网络股份有限公司 | Bad driving behavior degree analyzing method and device |
CN109584459A (en) * | 2017-10-18 | 2019-04-05 | 宁波轩悦行电动汽车服务有限公司 | The power saving drive advice method of electric car leasing system |
CN110738749A (en) * | 2018-07-18 | 2020-01-31 | 丰田自动车株式会社 | In-vehicle device, information processing device, and information processing method |
CN112734144A (en) * | 2019-10-14 | 2021-04-30 | 中移智行网络科技有限公司 | Driving behavior evaluation method and device, storage medium and computer equipment |
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 |
CN113128863A (en) * | 2021-04-16 | 2021-07-16 | 长春工业大学 | Duration-based bad driving behavior evaluation method |
CN113128863B (en) * | 2021-04-16 | 2025-02-25 | 长春工业大学 | A duration-based evaluation method for bad driving behavior |
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