CN105354896A - Automobile driving recorder locus segmentation method - Google Patents
Automobile driving recorder locus segmentation method Download PDFInfo
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Abstract
The invention relates to an automobile driving recorder locus segmentation method and belongs to the field of automobile driving historical locus recording in a vehicle network system. The method utilizes an improved terminal-tube-cloud three layer structure and realizes automobile driving historical locus segmentation according to a vehicle ignition loss event, an ACC state and GPS behavior characteristics. Different vehicle terminals dynamically select segmentation methods according to a vehicle state. Through combination with three auxiliary segmentation methods such as timeout segmentation, forced segmentation and zero segmentation, the segment data is uploaded to a database of a car networking cloud platform in real time and a user can inquire detailed segment information.
Description
Technical field
The invention belongs to the running car historical track record field in car networked system, particularly a kind of trajectory segment method of automobile travel recorder.
Background technology
Along with the development of science and technology, car networked system becomes the developing direction of future automobile network.Car networking is by the huge Internet of the information structures such as vehicle location, speed and route, and from network, car networked system is " end Guan Yun " Three-tider architecture.
Ground floor (end system): " end " is the mutual and exhibition method of people and car, people and cloud, Che Yulu, car and car.Allowing user carry out the displaying of car network savvy and experience by intelligent terminal or App, is the necessary form of all using values;
The second layer (guard system): solve interconnecting of car and car, Che Yulu, car and net, car and people etc., realize the communication between car self-organization network and multiple heterogeneous network and roaming.Automobile must possess ubiquitous online and converged communication (pipe) ability, the perception of automobile wisdom and communication terminal, can any dynamic operation information of perception vehicle, and by the direct real-time report in communication " pipe " road, the thing forming dynamic vehicle condition and surrounding enviroment information joins;
Third layer (cloud system): based on large data information of vehicles and people's car interaction platform of " cloud " computing architecture.Can support the large Data Concurrent of 1,000,000 grades of vehicle intelligent terminals and millions intelligent mobile terminal at least simultaneously, realize relating to the storage of car data, calculating, management, monitoring, analysis, excavation and application to magnanimity, be system interconnect and the core of intelligence.
Automobile travel recorder is data message " black box " in the networking of record car, and other status informations travelled Vehicle Speed, time, mileage and associated vehicle record, store and the digital electronic pen recorder exported by Interface realization data.It both can be produced evidence at the time of emergency, ensured driver oneself right, also can be used as automobile monitoring and use.
Various types of vehicle running recording instrument can be found in the market, but all there is no the function of running car historical track segmentation.The track data of long-time section is unfavorable for that user checks, is also unfavorable for storing and analyzing and processing, and segmentation can time feature in perception wheelpath very easily, is therefore necessary to carry out correlative study.
Summary of the invention
The object of this invention is to provide a kind of trajectory segment method of automobile travel recorder, be the different tracks segmentation method that different vehicle Tachographs provides, and the demand of automobile history driving trace segmentation can be met.
For achieving the above object, the present invention adopts following technical scheme: a kind of trajectory segment method of automobile travel recorder, comprises the steps:
Step 1: the historical trajectory data of car-mounted terminal collection vehicle, and it is uploaded to car networking cloud platform by car networking; The historical trajectory data of described vehicle is one or more in vehicle ignition misfire event data, ACC status data, GPS behavioral data;
Step 2: car networking cloud platform judges whether the condition meeting auxiliary subsection: be then perform step 3; No, then perform step 4; The condition of described auxiliary subsection comprises: in a setting-up time, car-mounted terminal uploads igniting, extinguishing event data continuously, in a setting-up time, car-mounted terminal uploads ACC status data continuously, there is large change vehicle GPS position, the continuous running time of automobile exceedes and arranges threshold value or traval trace spans time 0 point in a day;
Step 3: car networking cloud platform carries out segmentation by the method for auxiliary subsection; The method of described auxiliary subsection comprises:
A. overtime segmentation, car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data: be, then preferentially adopt igniting, extinguishing event data as the foundation of segmentation, the triggering of igniting, extinguishing event all needs to upload continuously in a setting-up time foundation that igniting, extinguishing event data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data: be, adopt ACC status data as the foundation of segmentation, the triggering of ACC state all needs to upload continuously in a setting-up time foundation that ACC status data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then adopt GPS behavioral data as segmentation foundation: vehicle GPS position remains unchanged or changes little, namely thinks that vehicle is parked in same position, then produces overtime segmentation when vehicle exceedes setting-up time in the time of same position;
B. fragment-force, arranges threshold value when the continuous running time of automobile exceedes, or the distance travelled exceedes when arranging threshold values and do not have a segmentation, produces fragment-force;
C.0 put segmentation, traval trace spans time 0 point in a day, is that boundary is by trajectory segment with 0;
After car networking cloud platform completes auxiliary subsection, perform step 7;
Step 4: car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data, is, then car networking cloud platform judges to adopt igniting, extinguishing event data to carry out segmentation as the foundation of segmentation, and then performs step 7; No, then perform step 5; Described employing igniting, extinguishing event data as segmentation according to carry out segmentation be adopt following methods segmentation is carried out to vehicle historical track: when automobile becomes from flameout state the beginning that fired state indicates one section of driving trace; When being become the end that flameout state indicates this section of driving trace from fired state;
Step 5: car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data, is, then car networking cloud platform judges to adopt ACC status data as segmentation according to carrying out segmentation, and then performs step 7; No, then perform step 6; Described employing ACC status data is adopt following methods to carry out segmentation to vehicle historical track as segmentation according to carrying out segmentation: when ACC state by the time point disconnected when becoming energising as one section of driving trace; As the end of this section of driving trace when ACC state becomes disconnection by "on" position; Described ACC status data is the status data whether automobile is energized;
Step 6: car networking cloud platform judges car-mounted terminal collection and uploads GPS behavioral data, car networking cloud platform judges to adopt GPS behavioral data as segmentation foundation, and as follows segmentation is carried out to vehicle historical track: remain unchanged when vehicle GPS behavioral data or change little, think that vehicle is in halted state, when gps data recurs change, then think that vehicle is in transport condition, vehicle becomes transport condition as one section of driving trace from halted state, becomes the end of halted state as this section of driving trace from transport condition;
Step 7: car networking cloud platform generates segment data, and carries out Storage and Processing to described segment data;
Step 8: user sends inquiry request by mobile phone A PP to car networking cloud platform;
Step 9: after car networking cloud platform authentication user profile, send the historical track segment information of vehicle to user.
In the method for described overtime segmentation, the default value of described setting-up time is 180 seconds.
Described historical track segment information comprises segmentation reference position, segmentation end position, segmentation initial time, segmentation end time, segmentation duration, segmentation mileage and average velocity.
Described ACC status data is placed in GPS behavioral data and transmits.
When after certain section of historical track segmentation end of record (EOR), described car networking cloud platform calculates time and the distance travelled number of this section of driving trace automatically, and described distance travelled number is according to the air line distance accumulation calculating between two points every in vehicle historical track; Distance travelled number finally also can be revised with reference to CAN data; Store after described car networking cloud platform also all changes into position data the longitude and latitude data of starting point.
The trajectory segment method of a kind of automobile travel recorder of the present invention, is the different tracks segmentation method that different vehicle Tachographs provides, can meets the demand of automobile history driving trace segmentation; Solve automobile running record and segmentation cannot check the driving trace of vehicle, the continuous path that what user can see is exactly in the whole time period, is not easy to the time feature in user awareness track like this, is also unfavorable for that data preserve the problem with management; A segmentation method to vehicle driving trace and standard thereof are formulated; Different segmentation methods is selected according to different trigger conditions according to different car-mounted terminals, and utilize the igniting, extinguishing event of vehicle, ACC state and GPS behavioral characteristic to complete the segmentation of traval trace, and be aided with overtime segmentation, fragment-force and 0 segmentation, make segmentation more accurately rationally, track of vehicle can calculate in real time, good reliability; Automobile historical track can be carried out equitable subsection by the present invention, and user can inquire about detailed segment information.So both avoid vehicle running recording instrument to the complex management of long-time driving trace and storage, again can clear time feature of showing vehicle driving trace accurately to user.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
As shown in Figure 1, the trajectory segment method of a kind of automobile travel recorder of the present invention, adopts perfect " end-pipe-cloud " three-tier architecture; It comprises the steps:
Step 1: the historical trajectory data of car-mounted terminal collection vehicle, and historical trajectory data is uploaded to car networking cloud platform by car networking, judge to adopt which kind of segmentation method by car networking cloud platform; The historical trajectory data of described vehicle is one or more in vehicle ignition misfire event data, ACC status data, GPS behavioral data;
Step 2: car networking cloud platform judges whether the condition meeting auxiliary subsection: be then perform step 3; No, then perform step 4; The condition of described auxiliary subsection comprises: in a setting-up time, car-mounted terminal uploads igniting, extinguishing event data continuously, in a setting-up time, car-mounted terminal uploads ACC status data continuously, there is large change vehicle GPS position, the continuous running time of automobile exceedes and arranges threshold value or traval trace spans time 0 point in a day;
Step 3: car networking cloud platform carries out segmentation by the method for auxiliary subsection; The method of described auxiliary subsection comprises:
A. overtime segmentation, car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data: be, then preferentially adopt igniting, extinguishing event data as the foundation of segmentation, the triggering of igniting, extinguishing event all needs to upload continuously in a setting-up time foundation that igniting, extinguishing event data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data: be, adopt ACC status data as the foundation of segmentation, the triggering of ACC state all needs to upload continuously in a setting-up time foundation that ACC status data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then adopt GPS behavioral data as segmentation foundation: vehicle GPS position remains unchanged or changes little, namely thinks that vehicle is parked in same position, then produces overtime segmentation when vehicle exceedes setting-up time in the time of same position;
B. fragment-force, arranges threshold value when the continuous running time of automobile exceedes, or the distance travelled exceedes when arranging threshold values and do not have a segmentation, produces fragment-force;
C.0 put segmentation, traval trace spans time 0 point in a day, is that boundary is by trajectory segment with 0;
After car networking cloud platform completes auxiliary subsection, perform step 7;
Step 4: car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data, is, then car networking cloud platform judges to adopt igniting, extinguishing event data to carry out segmentation as the foundation of segmentation, and then performs step 7; No, namely igniting, extinguishing event cannot accurately obtain in some cases, then perform step 5; Described employing igniting, extinguishing event data as segmentation according to carry out segmentation be adopt following methods segmentation is carried out to vehicle historical track: when automobile becomes from flameout state the beginning that fired state indicates one section of driving trace; When being become the end that flameout state indicates this section of driving trace from fired state;
Step 5: car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data, is, then car networking cloud platform judges to adopt ACC status data as segmentation according to carrying out segmentation, and then performs step 7; No, then perform step 6; Described employing ACC status data is adopt following methods to carry out segmentation to vehicle historical track as segmentation according to carrying out segmentation: when ACC state by the time point disconnected when becoming energising as one section of driving trace; As the end of this section of driving trace when ACC state becomes disconnection by "on" position; Described ACC status data is the status data whether automobile is energized;
Some terminal does not support ACC, or cannot connect ACC, can not Obtaining Accurate to ACC status information; Although some terminal supports ACC, after vehicle is flame-out, ACC closed condition cannot be uploaded in real time.Be no in these cases, then perform step 6;
Step 6: car networking cloud platform judges car-mounted terminal collection and uploads GPS behavioral data, car networking cloud platform judges to adopt GPS behavioral data as segmentation foundation, and as follows segmentation is carried out to vehicle historical track: remain unchanged for a long time when vehicle GPS behavioral data or change very little, think that vehicle is in halted state, when gps data recurs change, then think that vehicle is in transport condition, vehicle becomes transport condition as one section of driving trace from halted state, becomes the end of halted state as this section of driving trace from transport condition; Select to carry out segmentation according to GPS behavioral data, namely calculating the average velocity of GPS point, obtaining average velocity by calculating the GPS Distance geometry time between 2.Because gps data itself exists noise problem, even if in stationary state, also discontinuity can have speed, have the phenomenon of operating range, so according to the degree of accuracy of gps data segmentation lower than ACC segmentation.Car-mounted terminal becomes break-make in ACC state or detects at every turn uploads GPS behavioral data in GPS has displacement;
Step 7: car networking cloud platform generates segment data, and carries out Storage and Processing to these data;
Step 8: user sends inquiry request by mobile phone A PP to car networking cloud platform;
Step 9: after car networking cloud platform authentication user profile, send the historical track segment information of vehicle to user.
Described historical track segment information comprises segmentation reference position (longitude and latitude, title), segmentation end position (longitude and latitude, title), segmentation initial time, segmentation end time, segmentation duration, segmentation mileage and average velocity.
Described ACC state is the "on" position of automobile.
Described ACC status data is placed in GPS behavioral data and transmits.
When after certain section of historical track segmentation end of record (EOR), described car networking cloud platform calculates the time of this section of driving trace and the distance travelled number of this section automatically, and described distance travelled number is according to the air line distance accumulation calculating between two points every in vehicle historical track; Distance travelled number finally also can be revised with reference to CAN data; Store after described car networking cloud platform also all changes into position data the longitude and latitude data of starting point.Automobile historical track can be carried out equitable subsection by the present invention, and user can inquire about detailed segment information.So both avoid vehicle running recording instrument to the complex management of long-time driving trace and storage, again can clear time feature of showing vehicle driving trace accurately to user.
Claims (5)
1. a trajectory segment method for automobile travel recorder, is characterized in that: comprise the steps:
Step 1: the historical trajectory data of car-mounted terminal collection vehicle, and it is uploaded to car networking cloud platform by car networking; The historical trajectory data of described vehicle is one or more in vehicle ignition misfire event data, ACC status data, GPS behavioral data;
Step 2: car networking cloud platform judges whether the condition meeting auxiliary subsection: be then perform step 3; No, then perform step 4; The condition of described auxiliary subsection comprises: in a setting-up time, car-mounted terminal uploads igniting, extinguishing event data continuously, in a setting-up time, car-mounted terminal uploads ACC status data continuously, there is large change vehicle GPS position, the continuous running time of automobile exceedes and arranges threshold value or traval trace spans time 0 point in a day;
Step 3: car networking cloud platform carries out segmentation by the method for auxiliary subsection; The method of described auxiliary subsection comprises:
A. overtime segmentation, car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data: be, then preferentially adopt igniting, extinguishing event data as the foundation of segmentation, the triggering of igniting, extinguishing event all needs to upload continuously in a setting-up time foundation that igniting, extinguishing event data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data: be, adopt ACC status data as the foundation of segmentation, the triggering of ACC state all needs to upload continuously in a setting-up time foundation that ACC status data judges as segmentation, exceeds this setting-up time and uploads without any historical trajectory data, producing overtime segmentation; No, then adopt GPS behavioral data as segmentation foundation: vehicle GPS position remains unchanged or changes little, namely thinks that vehicle is parked in same position, then produces overtime segmentation when vehicle exceedes setting-up time in the time of same position;
B. fragment-force, arranges threshold value when the continuous running time of automobile exceedes, or the distance travelled exceedes when arranging threshold values and do not have a segmentation, produces fragment-force;
C.0 put segmentation, traval trace spans time 0 point in a day, is that boundary is by trajectory segment with 0;
After car networking cloud platform completes auxiliary subsection, perform step 7;
Step 4: car networking cloud platform judges whether car-mounted terminal gathers and upload igniting, extinguishing event data, is, then car networking cloud platform judges to adopt igniting, extinguishing event data to carry out segmentation as the foundation of segmentation, and then performs step 7; No, then perform step 5; Described employing igniting, extinguishing event data as segmentation according to carry out segmentation be adopt following methods segmentation is carried out to vehicle historical track: when automobile becomes from flameout state the beginning that fired state indicates one section of driving trace; When being become the end that flameout state indicates this section of driving trace from fired state;
Step 5: car networking cloud platform judges whether car-mounted terminal gathers and upload ACC status data, is, then car networking cloud platform judges to adopt ACC status data as segmentation according to carrying out segmentation, and then performs step 7; No, then perform step 6; Described employing ACC status data is adopt following methods to carry out segmentation to vehicle historical track as segmentation according to carrying out segmentation: when ACC state by the time point disconnected when becoming energising as one section of driving trace; As the end of this section of driving trace when ACC state becomes disconnection by "on" position; Described ACC status data is the status data whether automobile is energized;
Step 6: car networking cloud platform judges car-mounted terminal collection and uploads GPS behavioral data, car networking cloud platform judges to adopt GPS behavioral data as segmentation foundation, and as follows segmentation is carried out to vehicle historical track: remain unchanged when vehicle GPS behavioral data or change little, think that vehicle is in halted state, when gps data recurs change, then think that vehicle is in transport condition, vehicle becomes transport condition as one section of driving trace from halted state, becomes the end of halted state as this section of driving trace from transport condition;
Step 7: car networking cloud platform generates segment data, and carries out Storage and Processing to described segment data;
Step 8: user sends inquiry request by mobile phone A PP to car networking cloud platform;
Step 9: after car networking cloud platform authentication user profile, send the historical track segment information of vehicle to user.
2. the trajectory segment method of a kind of automobile travel recorder as claimed in claim 1, is characterized in that: in the method for described overtime segmentation, and the default value of described setting-up time is 180 seconds.
3. the trajectory segment method of a kind of automobile travel recorder as claimed in claim 1, is characterized in that: described historical track segment information comprises segmentation reference position, segmentation end position, segmentation initial time, segmentation end time, segmentation duration, segmentation mileage and average velocity.
4. the trajectory segment method of a kind of automobile travel recorder as claimed in claim 1, is characterized in that: described ACC status data is placed in GPS behavioral data and transmits.
5. the trajectory segment method of a kind of automobile travel recorder as claimed in claim 1, it is characterized in that: when after certain section of historical track segmentation end of record (EOR), described car networking cloud platform calculates time and the distance travelled number of this section of driving trace automatically, and described distance travelled number is according to the air line distance accumulation calculating between two points every in vehicle historical track; Distance travelled number finally also can be revised with reference to CAN data; Store after described car networking cloud platform also all changes into position data the longitude and latitude data of starting point.
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Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN110070704A (en) * | 2018-01-22 | 2019-07-30 | 江苏迪纳数字科技股份有限公司 | A kind of fence monitoring method of automobile travel recorder |
CN110244699A (en) * | 2019-06-27 | 2019-09-17 | 高新兴物联科技有限公司 | Vehicle travel scaling method, device and computer readable storage medium |
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CN110580752A (en) * | 2018-06-08 | 2019-12-17 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment thereof and vehicle running track display method |
CN110986993A (en) * | 2019-12-31 | 2020-04-10 | 长城汽车股份有限公司 | Method and device for acquiring road condition information |
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CN111292442A (en) * | 2018-12-07 | 2020-06-16 | 江苏迪纳数字科技股份有限公司 | Recalculation method for correcting vehicle travel segment based on vehicle report supplementing data |
CN111402590A (en) * | 2019-01-03 | 2020-07-10 | 杭州海康威视系统技术有限公司 | Parking guidance method, device, vehicle-mounted unit, center server and system |
CN112884943A (en) * | 2021-03-10 | 2021-06-01 | 北京车和家信息技术有限公司 | User driving behavior restoration method, device, medium and electronic equipment |
CN113068130A (en) * | 2021-03-29 | 2021-07-02 | 宁波趣行智能科技有限公司 | Traffic track data receiving and processing method of intelligent vehicle-mounted equipment |
CN113660612A (en) * | 2021-08-05 | 2021-11-16 | 联通智网睿行科技(北京)有限公司 | Track playback method and system and electronic equipment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020167519A1 (en) * | 2001-05-09 | 2002-11-14 | Olsen Bruce A. | Split screen GPS and electronic tachograph |
CN1937793A (en) * | 2006-09-30 | 2007-03-28 | 江苏天泽信息产业有限公司 | Trace playback long-distance client end supporting method |
CN102473347A (en) * | 2009-09-24 | 2012-05-23 | 三菱电机株式会社 | Travel pattern generation device |
CN103927795A (en) * | 2013-01-14 | 2014-07-16 | 北京中交兴路信息科技有限公司 | Method and system for replaying vehicle historical traveling track |
-
2015
- 2015-11-13 CN CN201510781566.7A patent/CN105354896B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020167519A1 (en) * | 2001-05-09 | 2002-11-14 | Olsen Bruce A. | Split screen GPS and electronic tachograph |
CN1937793A (en) * | 2006-09-30 | 2007-03-28 | 江苏天泽信息产业有限公司 | Trace playback long-distance client end supporting method |
CN102473347A (en) * | 2009-09-24 | 2012-05-23 | 三菱电机株式会社 | Travel pattern generation device |
CN103927795A (en) * | 2013-01-14 | 2014-07-16 | 北京中交兴路信息科技有限公司 | Method and system for replaying vehicle historical traveling track |
Non-Patent Citations (1)
Title |
---|
李建孟: "汽车行驶记录仪的研究与设计", 《中国优秀硕士学位论文全文数据库》 * |
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CN111402590A (en) * | 2019-01-03 | 2020-07-10 | 杭州海康威视系统技术有限公司 | Parking guidance method, device, vehicle-mounted unit, center server and system |
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CN111024096A (en) * | 2019-11-08 | 2020-04-17 | 安徽中科美络信息技术有限公司 | Vehicle positioning data uploading method and vehicle-mounted terminal |
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CN110986993A (en) * | 2019-12-31 | 2020-04-10 | 长城汽车股份有限公司 | Method and device for acquiring road condition information |
CN112884943A (en) * | 2021-03-10 | 2021-06-01 | 北京车和家信息技术有限公司 | User driving behavior restoration method, device, medium and electronic equipment |
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