CN106600128A - Vehicle figure calculation method ad system - Google Patents
Vehicle figure calculation method ad system Download PDFInfo
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- CN106600128A CN106600128A CN201611110214.XA CN201611110214A CN106600128A CN 106600128 A CN106600128 A CN 106600128A CN 201611110214 A CN201611110214 A CN 201611110214A CN 106600128 A CN106600128 A CN 106600128A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a vehicle figure calculation method ad system, and the method comprises the steps: obtaining daily operation track point information of a vehicle; determining the daily operation track segment information of the vehicle according to the daily operation track point information of the vehicle; obtaining the daily operation index data of the vehicle according to the daily operation track segment information of the vehicle; and obtaining a vehicle figure according to the daily operation index data of the vehicle. The method improves the data sharing efficiency of an IOV (Internet of Vehicles) information system.
Description
Technical field
The present invention relates to car networking areas of information technology, more particularly to a kind of vehicle portrait computational methods and system.
Background technology
Current vehicle amount lacks network service and automobile dynamic data, and facility information isolates, cause data user rate low and
Data are wasted, and the present statistics with regard to car operation state can not meet this demand, and most system dimensions are single, index
It is fuzzy, and information Store is inefficient, analysis ability is not strong.It is common in order to preferably provide network service and vehicle dynamics data
Enjoy, allow more vehicle-mounted Networked Products and intellectuality, need to overcome produced problem in above-mentioned network information system.
The content of the invention
In view of this, the purpose of the present invention is to propose to a kind of vehicle portrait computational methods and system, are believed with improving car networking
The problem of breath system data sharing efficiency.
For achieving the above object, the present invention is adopted the following technical scheme that：
In a first aspect, a kind of vehicle portrait computational methods are embodiments provided, including：
Obtain vehicle day operation tracing point information；
Tracing point information is runed according to the vehicle day, vehicle day operation track segment information is determined；
Track segment information is runed according to the vehicle day, vehicle day operation exponent data is obtained；
Exponent data is runed according to the vehicle day, vehicle portrait is obtained.
Second aspect, embodiments provides a kind of vehicle portrait computing system, including：
Tracing point data obtaining module, for obtaining vehicle day operation tracing point information；
Orbit segment determining module, for runing tracing point information according to the vehicle day, determines vehicle day operation orbit segment
Information；
Operation Index for Calculation module, for runing track segment information according to the vehicle day, obtains vehicle day operation index
Data；
Vehicle portrait computing module, for runing exponent data according to the vehicle day, obtains vehicle portrait.
The invention has the beneficial effects as follows：A kind of vehicle portrait computational methods and system that the present invention is provided, by collecting vehicle
The day for uploading operation tracing point information, is analyzed processs, completes to calculate the portrait of vehicle day traffic-operating period to information, logical
Cross network service and realize and vehicle dynamics data is shared, meet the needs of different levels, enhance the net of information of vehicles
Network and intellectuality.
Description of the drawings
The exemplary embodiment of the present invention will be described by referring to accompanying drawing in detail below, make one of ordinary skill in the art
The above-mentioned and other feature and advantage of the present invention are become apparent from, in accompanying drawing：
Fig. 1 is a kind of schematic flow sheet of vehicle portrait computational methods that the embodiment of the present invention one is provided；
Fig. 2 is a kind of schematic flow sheet of vehicle portrait computational methods that the embodiment of the present invention two is provided；
Fig. 3 is a kind of structured flowchart of vehicle portrait computing system that the embodiment of the present invention three is provided.
Specific embodiment
Technical scheme is further illustrated below in conjunction with the accompanying drawings and by specific embodiment.May be appreciated
It is that specific embodiment described herein is used only for explaining the present invention, rather than limitation of the invention.Further need exist for explanation
, for the ease of description, in accompanying drawing, illustrate only part related to the present invention rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of vehicle portrait computational methods that the embodiment of the present invention one is provided.The method is applied to vehicle operation letter
The situation of breath statistics, the method can draw a portrait computing system to perform by a kind of vehicle.Vehicle portrait computing system can be by
The mode of software and/or hardware is realizing.As shown in figure 1, the method includes：
Step 110, acquisition vehicle day operation tracing point information.
It is vehicle all operation tracing point information in a day to run tracing point information vehicle day, main by acquisition vehicle
Upload what own operations situation was obtained in predetermined time interval, can include：The travel speed of vehicle, the position of vehicle are sat
The overspeed situation of mark, vehicle fatigue driving situation and vehicle.Preferably, the time interval that vehicle uploads information can be 30 seconds.
If running into special circumstances, special setting can be carried out to time interval, such as：When vehicle occurs bringing to a halt, turns round or position
The setting of time interval when putting variation abnormality, can be reduced.
Step 120, according to vehicle day run tracing point information, determine vehicle day operation track segment information.
Vehicle day operation track segment information is the operation track that vehicle was divided according to the information of operation tracing point in a day
Section and relevant information.
Tracing point information is runed according to the day of vehicle, by two adjacent point composition orbit segments, by adjacent and similar rail
Mark section is merged, and finally determines vehicle day operation orbit segment；According to operation orbit segment, the operation orbit segment on the vehicle same day is determined
Information.
Step 130, according to vehicle day run track segment information, obtain vehicle day operation exponent data.
Operation index is, on the basis of operation track segment information, the traffic-operating period of vehicle further to be counted
And classification.
Step 140, according to vehicle day run exponent data, obtain vehicle portrait.
Vehicle portrait is more high-level statistical indicator on operation index, is 1 year, half a year or a season
Traffic-operating period, that is, reflect operation state of the vehicle within a period of time.In the present embodiment, vehicle portrait was realized to vehicle day
The multi dimensional analysis statistics of traffic-operating period.
A kind of vehicle portrait computational methods that the embodiment of the present invention one is provided, run tracing point letter vehicle day by obtaining
Breath, obtains the traffic-operating period of vehicle；Tracing point information is classified, the track segment information of vehicle is determined；According to track of vehicle
Segment information, calculates vehicle day operation index；Various dimensions statistics is carried out according to index is runed vehicle day, vehicle portrait is calculated, so as to
Realize that the various dimensions portrait of vehicle is calculated, realized by network service and vehicle dynamics data is shared, meet different layers
Secondary needs.
Embodiment two
Fig. 2 is a kind of schematic flow sheet of vehicle portrait computational methods that the embodiment of the present invention two is provided.The present embodiment exists
It is optimized on the basis of above-described embodiment, will obtain vehicle day operation tracing point Advance data quality is：Obtain vehicle day operation rail
Mark point data and stop point data；Track point data is runed according to vehicle day, vehicle day operation starting point and end point is determined
Tracing point information, determines disappearance point data according to the orbit segment between same day starting point and the previous day end point.As shown in Fig. 2
The method includes：
Step 210, acquisition vehicle day operation track point data and stop point data.
Vehicle day operation track point data is vehicle traffic-operating period in each tracing point in a day, stops point data and is
During operation, vehicle runs into the data of particular case rest or the tracing point for stopping to vehicle.
Step 220, according to vehicle day run track point data, determine vehicle day operation starting point and end point tracing point
Information, determines disappearance point data according to the orbit segment between same day starting point and the previous day end point.
Can be become according to the position of the tracing point before and after car speed, vehicle lost contact in the track point data of vehicle and vehicle
Change information, judges the tracing point information of car operation end point and starting point, according to same day starting point and the previous day end point it
Between track piecewise analysis and obtain disappearance point data.According to the day of vehicle operation track point data, stop point data and missing point
Data can obtain vehicle day operation tracing point information.
Step 230, according to vehicle day run tracing point information, determine vehicle day operation track segment information.
Further, tracing point information is runed according to vehicle day, determines the track of vehicle day operation starting point and end point
Point information, obtains the orbit segment between same day starting point and the previous day end point, and cutting orbit segment is added to the same day and the previous day
Track segment information.That is, the orbit segment of data in the orbit segment of today and orbit segment disappearance tracing point composition is merged
The track segment data of today is constituted together, and the orbit segment of data in the orbit segment of yesterday and disappearance tracing point composition is incorporated in
Complete track segment data yesterday is constituted together, is completed orbit segment and is collected.
Further, tracing point information is runed according to the vehicle day, determines vehicle day operation track segment information, including：
According to tracing point information, determine vehicle day operation orbit segment, and calculate the track segment information in orbit segment between head and the tail tracing point,
Orbit segment information includes：Time started, beginning longitude, beginning latitude, end time, end longitude, end latitude, operation province
ID, operation province title, operation city ID, operation city's title, minimum longitude, maximum longitude, minimum latitude, maximum latitude, total kilometrage,
Number of times, overspeed alarming mileage, hypervelocity report are stopped in total service time, total run time, total berthing time, always stop number of times, operation
Alert duration, overspeed alarming number of times, fatigue driving mileage, fatigue driving duration, fatigue driving number of times, service time set of ordered pairs close,
At least one of the conjunction of anchor point set of ordered pairs, track segment type and disappearance set of ordered pairs conjunction.
Wherein, operation saves the coding that ID is place province during car operation, during operation city ID is car operation
The coding in place city；Longitude of the minimum longitude for longitude minimum tracing point in all tracing points in the orbit segment of vehicle；Total kilometrage
For total mileage number that vehicle was walked in a day；Total service time is total time-consuming of the vehicle in orbit segment；Total run time
The total time of the driving for being vehicle in orbit segment, total service time is the summation of total run time and total berthing time；Hypervelocity
Warning can carry out free setting as needed, when speed reaches certain value, it is believed that be to drive over the speed limit, at interval of a period of time
Overspeed alarming is set；Mileage number of the fatigue driving mileage for vehicle overwork, fatigue driving mainly driving by vehicle
What the duration sailed was judged, this drives duration and can be set as the case may be, when continuous driving is driven more than this
When sailing duration, then it is assumed that vehicle is in fatigue driving；Service time set of ordered pairs is combined into and counts the service time of vehicle
Data acquisition system；The type of orbit segment is according to job content and the difference of operation purpose, the different classifications of the orbit segment of setting.
Step 240, according to vehicle day run track segment information, obtain vehicle day operation exponent data.
Further, track segment information is runed according to the vehicle day, obtains vehicle day operation exponent data, including：Root
According to track segment information with province, city, road, hour and at least one dimension in day, when statistics obtains car market road, the road of car market
Day, car market when, car market day, car save time, Che Sheng, bus or train route when, bus or train route day, car when and Che Zhong at least one vehicle day run
Exponent data.
Wherein：Total hourage that car market Lu Shiwei vehicles are walked on the road in the city；Car market Lu Wei vehicles are in the city
Road on total natural law for being walked；Car market day is vehicle in the total natural law in the city；During bus or train route by vehicle walk on the road it is total little
When number；Total hourage of Che Shiwei vehicles operation.
Step 250, according to vehicle day run exponent data, obtain vehicle portrait.
Further, exponent data is runed according to the vehicle day, obtains vehicle portrait, including：Runed according to vehicle day
Exponent data, when determining average daily operation mileage of the vehicle in a season or 1 year, daily runing duration, daily run
Length, daily stop duration, average overall trip speed, average running speed, average daily work ratio, daily average daily operation ratio, stop rate, day
Total overspeed alarming duration, average daily total fatigue driving duration, average daily overspeed alarming rate, average daily fatigue driving rate, the monthly rate of attendance,
Month safe driving natural law, monthly approach save number, monthly approach city number, monthly traffic coverage, year operation mileage, working vehicle-day in year
Number, year work moon number, natural law of reaching the standard grade in year, a moon number of reaching the standard grade in year, often go out car moment accounting, average daily mileage on daytime accounting, average daily morning
In mileage accounting, the average daily mileage accounting of operation at a high speed, average daily national highway operation mileage accounting and average daily provincial highway operation mileage accounting
At least one, obtain vehicle portrait.
Wherein, average daily operation mileage is the mileage number of vehicle operation in average a day in a season or a year；It is average daily to transport
The hourage of a length of vehicle operation in average a day in a season or year during battalion；Average daily work ratio is vehicle in a season
Or in 1 year total service time and total time ratio；During average daily total overspeed alarming, a length of vehicle was a season or 1 year
In total warning duration and total time ratio；Average daily overspeed alarming rate is vehicle total warning in a season or a year time
Count the ratio with total natural law；The monthly rate of attendance is the ratio of the total operation natural law in a season or a year of vehicle and total month number；
Monthly traffic coverage be vehicle in a season or 1 year every month traffic coverage ratio always with total month number, traffic coverage
The distance between two farthest tracing points can be runed during operation for vehicle；To reach the standard grade natural law in year be vehicle one
Nian Zhongxiang information systeies upload total natural law of information；Often go out car moment accounting often to go out the car moment for vehicle and always go out the car moment
Than；Average daily mileage accounting on daytime is that vehicle runs mileage number with total operation mileage number the daytime in a season or 1 year
Than；The average daily accounting of operation mileage at a high speed is operation mileage and total operation of the vehicle in a season or 1 year in high speed
The ratio of mileage.
The present embodiment merely illustrates car operation exponent data and vehicle representation data partial content, only for the present invention
Car operation exponent data and vehicle representation data in embodiment is briefly described；By to car operation index and vehicle
Portrait is calculated, and is carried out the analysis of system synthesis to the traffic-operating period of vehicle, can is car insurance, 0vehicle marketing and road
The analysis of traffic provides reference, by the shared of real-time performance information, improves the utilization rate of information.
A kind of vehicle portrait computational methods provided in an embodiment of the present invention, by according to the day of vehicle operation track points
According to, stop point data and disappearance point data counted, obtain vehicle day operation tracing point information；Track is runed according to vehicle day
Point acquisition of information vehicle day operation track segment information, further calculates vehicle day operation index and vehicle portrait, so as to realize car
Across the day portrait of various dimensions calculate, improve car networking data of information system sharing efficiency.
Embodiment three
Fig. 3 is a kind of structured flowchart of vehicle portrait computing system that the embodiment of the present invention three is provided.As shown in figure 3, should
Device includes：
Tracing point data obtaining module 310, for obtaining vehicle day operation tracing point information；Orbit segment determining module 320,
For tracing point information being runed according to vehicle day, determine vehicle day operation track segment information；Operation Index for Calculation module 330, uses
In track segment information being runed according to vehicle day, obtain vehicle day operation exponent data；Vehicle portrait computing module 340, for root
Exponent data is runed according to vehicle day, vehicle portrait is obtained.
A kind of vehicle portrait computing system that the embodiment of the present invention one is provided, is obtained by tracing point data obtaining module 310
Pick up the car and a day run tracing point information, and the tracing point essential information of acquisition is sent to into orbit segment determining module 320, orbit segment
Determining module 320 will determine orbit segment statistical analysiss track segment information according to tracing point essential information, and by track segment information
Operation Index for Calculation module 330 is sent to, operation Index for Calculation module 330 calculates the operation of vehicle day and refers to according to track segment information
Number data, vehicle draw a portrait computing module 340 from 330 acquisition vehicle day operation exponent data of operation Index for Calculation module, calculate car
Portrait.
Further, tracing point data obtaining module 310, specifically for：Data obtaining module, for obtaining vehicle day fortune
Battalion's track point data and stop point data；Missing point determining module, for runing track point data according to the vehicle day, it is determined that
Vehicle day runs the tracing point information of starting point and end point, according to the orbit segment between same day starting point and the previous day end point
It is determined that disappearance point data.
Further, orbit segment determining module 320, specifically for：Tracing point information is runed according to vehicle day, vehicle is determined
Day runs the tracing point information of starting point and end point, obtains the orbit segment between same day starting point and the previous day end point, cuts
The orbit segment is divided to be added to the track segment information of the same day and the previous day.
Further, orbit segment determining module 320, specifically for：According to the tracing point information, determine that vehicle day runs
Orbit segment, and the track segment information in the orbit segment between head and the tail tracing point is calculated, orbit segment information includes：Time started,
Start longitude, start latitude, end time, terminate longitude, terminate latitude, operation province ID, operation province title, operation city ID, fortune
It is battalion's city's title, minimum longitude, maximum longitude, minimum latitude, maximum latitude, total kilometrage, total service time, total run time, total
Number of times, overspeed alarming mileage, overspeed alarming duration, overspeed alarming number of times, fatigue are stopped in berthing time, always stop number of times, operation
Driving range, fatigue driving duration, fatigue driving number of times, service time set of ordered pairs are closed, anchor point set of ordered pairs is closed, track segment type
With disappearance set of ordered pairs close at least one of.
Further, Index for Calculation module 330 is runed, specifically for：According to the track segment information with province, city,
Road, hour and at least one dimension in day, statistics is when obtaining car market road, car market road day, car market when, car market day, car save time,
When Che Sheng, bus or train route, bus or train route day, car when and Che Zhong at least one vehicle day operation exponent data.
Further, vehicle portrait computing module 340, specifically for：Exponent data is runed according to the vehicle day, it is determined that
When going out average daily operation mileage of the vehicle in a season or 1 year, daily runing duration, average daily operation duration, daily stop
Long, average overall trip speed, average running speed, average daily work ratio, daily average daily operation ratio, stop rate, average daily total overspeed alarming
Duration, average daily total fatigue driving duration, average daily overspeed alarming rate, average daily fatigue driving rate, the monthly rate of attendance, moon safe driving day
Several, monthly approach save number, monthly approach city number, monthly traffic coverage, year operation mileage, year work car number of days, the year work moon
Number, natural law of reaching the standard grade in year, a moon number of reaching the standard grade in year, often go out car moment accounting, average daily mileage on daytime accounting, average daily morning mileage accounting, day
Operation mileage accounting, average daily national highway operation mileage accounting and average daily provincial highway run at least one of mileage accounting at a high speed, obtain
Draw a portrait to vehicle.
A kind of vehicle portrait computing system that the present embodiment is provided, a kind of vehicle provided with any embodiment of the present invention
Portrait computational methods belong to same inventive concept, can perform a kind of vehicle portrait calculating side that any embodiment of the present invention is provided
Method, possesses corresponding function and beneficial effect.Not ins and outs of detailed description in the present embodiment, can be found in it is of the invention arbitrarily
A kind of vehicle portrait computational methods that embodiment is provided.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
More other Equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of vehicle is drawn a portrait computational methods, it is characterised in that include：
Obtain vehicle day operation tracing point information；
Tracing point information is runed according to the vehicle day, vehicle day operation track segment information is determined；
Track segment information is runed according to the vehicle day, vehicle day operation exponent data is obtained；
Exponent data is runed according to the vehicle day, vehicle portrait is obtained.
2. method according to claim 1, it is characterised in that the acquisition vehicle day runs tracing point information, including：
Obtain vehicle day operation track point data and stop point data；
Track point data is runed according to the vehicle day, the tracing point information of vehicle day operation starting point and end point, root is determined
Disappearance point data is determined according to the orbit segment between same day starting point and the previous day end point.
3. method according to claim 2, it is characterised in that described that tracing point information is runed according to the vehicle day, really
Determine vehicle day operation track segment information, including：
Tracing point information is runed according to vehicle day, the tracing point information of vehicle day operation starting point and end point is determined, is obtained and work as
Orbit segment between its starting point and the previous day end point, orbit segment described in cutting are added to the orbit segment letter of the same day and the previous day
Breath.
4. method according to claim 1, it is characterised in that described that tracing point information is runed according to the vehicle day, really
Determine vehicle day operation track segment information, including：
According to the tracing point information, vehicle day operation orbit segment is determined, and calculate in the orbit segment between head and the tail tracing point
Track segment information, orbit segment information includes：Time started, beginning longitude, beginning latitude, end time, end longitude, end
Latitude, operation province ID, operation province title, operation city ID, operation city's title, minimum longitude, maximum longitude, minimum latitude, maximum
Number of times, overspeed alarming are stopped in latitude, total kilometrage, total service time, total run time, total berthing time, always stop number of times, operation
When mileage, overspeed alarming duration, overspeed alarming number of times, fatigue driving mileage, fatigue driving duration, fatigue driving number of times, operation
Between set of ordered pairs close, anchor point set of ordered pairs close, track segment type and disappearance set of ordered pairs close at least one of.
5. method according to claim 1, it is characterised in that described to run track segment information according to the vehicle day, obtains
Exponent data is runed to vehicle day, including：
According to the track segment information with province, city, road, hour and at least one dimension in day, statistics obtains car market
When Lu Shi, car market road day, car market, car market day, car save time, Che Sheng, bus or train route when, bus or train route day, car when and Che Zhong at least one
Plant vehicle day operation exponent data.
6. method according to claim 1, it is characterised in that described to run exponent data according to the vehicle day, obtains
Vehicle is drawn a portrait, including：
According to the vehicle day run exponent data, determine average daily operation mileage of the vehicle in a season or 1 year,
Average daily operation duration, average daily operation duration, daily stop duration, average overall trip speed, average running speed, average daily work ratio,
Average daily operation ratio, daily stop rate, average daily total overspeed alarming duration, average daily total fatigue driving duration, average daily overspeed alarming rate, day
Fatigue driving rate, the monthly rate of attendance, moon safe driving natural law, monthly approach save number, monthly approach city number, monthly transport model
Enclose, year operation mileage, year work car number of days, year work moon number, natural law of reaching the standard grade in year, a moon number of reaching the standard grade in year, often go out car moment accounting, day
Mileage accounting on daytime, average daily morning mileage accounting, the average daily mileage accounting of operation at a high speed, average daily national highway run mileage accounting and day
At least one of provincial highway operation mileage accounting, obtains vehicle portrait.
7. a kind of vehicle is drawn a portrait computing system, it is characterised in that include：
Tracing point data obtaining module, for obtaining vehicle day operation tracing point information；
Orbit segment determining module, for runing tracing point information according to the vehicle day, determines vehicle day operation track segment information；
Operation Index for Calculation module, for runing track segment information according to the vehicle day, obtains vehicle day operation exponent data；
Vehicle portrait computing module, for runing exponent data according to the vehicle day, obtains vehicle portrait.
8. system according to claim 7, it is characterised in that the tracing point data obtaining module, specifically for：
Data obtaining module, for obtaining vehicle day operation track point data and stopping point data；
Missing point determining module, for runing track point data according to the vehicle day, determines vehicle day operation starting point and knot
The tracing point information of spot, determines disappearance point data according to the orbit segment between same day starting point and the previous day end point.
9. system according to claim 8, it is characterised in that the orbit segment determining module, specifically for：
Tracing point information is runed according to vehicle day, the tracing point information of vehicle day operation starting point and end point is determined, is obtained and work as
Orbit segment between its starting point and the previous day end point, orbit segment described in cutting are added to the orbit segment letter of the same day and the previous day
Breath.
10. system according to claim 7, it is characterised in that the vehicle is drawn a portrait computing module, specifically for：
According to the vehicle day run exponent data, determine average daily operation mileage of the vehicle in a season or 1 year,
Average daily operation duration, average daily operation duration, daily stop duration, average overall trip speed, average running speed, average daily work ratio,
Average daily operation ratio, daily stop rate, average daily total overspeed alarming duration, average daily total fatigue driving duration, average daily overspeed alarming rate, day
Fatigue driving rate, the monthly rate of attendance, moon safe driving natural law, monthly approach save number, monthly approach city number, monthly transport model
Enclose, year operation mileage, year work car number of days, year work moon number, natural law of reaching the standard grade in year, a moon number of reaching the standard grade in year, often go out car moment accounting, day
Mileage accounting on daytime, average daily morning mileage accounting, the average daily mileage accounting of operation at a high speed, average daily national highway run mileage accounting and day
At least one of provincial highway operation mileage accounting, obtains vehicle portrait.
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| CN201611110214.XA CN106600128A (en) | 2016-12-06 | 2016-12-06 | Vehicle figure calculation method ad system |
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| CN201611110214.XA CN106600128A (en) | 2016-12-06 | 2016-12-06 | Vehicle figure calculation method ad system |
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| CN108256733A (en) * | 2017-12-12 | 2018-07-06 | 北京荣之联科技股份有限公司 | The judgment method and device of operational vehicle |
| CN110111148A (en) * | 2019-05-08 | 2019-08-09 | 义乌市腾飞汽车代驾服务有限公司 | Vehicle subsidizes calculation method, device, system, computer equipment and storage medium |
| CN110275934A (en) * | 2019-06-28 | 2019-09-24 | 青岛无车承运服务中心有限公司 | Vehicle driving situation risk analysis method and system based on BEI-DOU position system |
| CN111489549A (en) * | 2020-03-11 | 2020-08-04 | 北京交通大学 | Travel vehicle path selection method based on historical behavior portrait |
| CN111612536A (en) * | 2020-05-20 | 2020-09-01 | 上海评驾科技有限公司 | Method for calculating vehicle change index based on Internet of vehicles data |
| CN112732446A (en) * | 2021-01-15 | 2021-04-30 | 腾讯科技（深圳）有限公司 | Task processing method and device and storage medium |
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- 2016-12-06 CN CN201611110214.XA patent/CN106600128A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108256733A (en) * | 2017-12-12 | 2018-07-06 | 北京荣之联科技股份有限公司 | The judgment method and device of operational vehicle |
| CN110111148A (en) * | 2019-05-08 | 2019-08-09 | 义乌市腾飞汽车代驾服务有限公司 | Vehicle subsidizes calculation method, device, system, computer equipment and storage medium |
| CN110275934A (en) * | 2019-06-28 | 2019-09-24 | 青岛无车承运服务中心有限公司 | Vehicle driving situation risk analysis method and system based on BEI-DOU position system |
| CN111489549A (en) * | 2020-03-11 | 2020-08-04 | 北京交通大学 | Travel vehicle path selection method based on historical behavior portrait |
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| CN111612536A (en) * | 2020-05-20 | 2020-09-01 | 上海评驾科技有限公司 | Method for calculating vehicle change index based on Internet of vehicles data |
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