CN108447262A - One kind being constructed the technology and method of " digital road " by wheelpath - Google Patents
One kind being constructed the technology and method of " digital road " by wheelpath Download PDFInfo
- Publication number
- CN108447262A CN108447262A CN201810334993.4A CN201810334993A CN108447262A CN 108447262 A CN108447262 A CN 108447262A CN 201810334993 A CN201810334993 A CN 201810334993A CN 108447262 A CN108447262 A CN 108447262A
- Authority
- CN
- China
- Prior art keywords
- road
- wheelpath
- digitlization
- digital road
- digital
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention discloses a kind of technology and its application process utilizing " digitlization wheelpath " foundation " digital road ".One wheelpath can record the whereabouts of vehicle, and enough wheelpaths are assured that " digital road "." digitlization wheelpath " is a kind of directing curve of the multidimensional information such as the running time comprising motor vehicle, position, height above sea level, speed and direction, for the effective road surface space of motor-driven vehicle going in " digital road " extracts physical road, and it include dynamic travelling data.First, a series of profile of geometric locuses determines the width and efficiency frontier of " digital road "；Second, the running information entrained by geometric locus determines the major parameter and its driving road-condition of " digital road ".Third, " digital road " are dynamic, and the variation of wheelpath can timely update " digital road ".Wagon flow reflects the true traffic status of road, and the present invention is determined " digital road " using wagon flow.
Description
Technical field
The invention mainly relates in information technology communication and data processing field, particularly directed under mobile communication environment
Motor line car data acquisition, transmission and processing.
Background technology
Under the support of the systems such as GPS and big-dipper satellite, the positioning of mobile terminal and motor vehicle has been one ripe
Technology；Mobile internet era, wireless data transmission have been widely applied.
Traditionally, city and rural motor road are counted as a kind of presence of static state, but in fact car lane
Road it is daily or per when all occurring such or such change, or extend or extension or change its course or interrupt etc., lead to this
The reason of variation are diversified a bit, such as pipeline construction, sleety weather, road maintenance.
In practice, rapidly find that these changes of motor road are even more a challenge in time, this invention is " inverse from one
To " angle go to solve the problems, such as：The duck knows first when the river becomes warm in spring, and the change " vehicle " of road is known.
Invention content
The present invention realizes one kind and allows " track "（Digitize wheelpath）It is formed " road "（That is digital road）'s
Method, " digital road " here dynamically reflect the traffic status on road parameters and its road surface.
The present invention overall technological scheme by travelling data acquisition, calculate digitlization wheelpath, construction digital road,
Five key links such as reference numerals road, digital road application, are described as follows successively.
A kind of " vehicle-mounted sensing terminal " configures on motor vehicle, is responsible for collecting driving number of motor vehicle during passage
According to：Running time, the height above sea level of driving, road location（Longitude and latitude position coordinates）, environment meteorological data etc..Driving
Time is arranged by the server-side networked is unified（Standard time）；Ride height is provided by built-in altitude sensor；Driving
Position is provided by built-in GPS or big-dipper satellite receiving module；The meteorological data of driving includes temperature, humidity, illumination, air pressure
Deng by built-in meteorological information acquisition module concentration offer.
Vehicle arrangement " vehicle-mounted sensing terminal ", effect are to be translated into a path sensor.
Initialization after " vehicle-mounted sensing terminal " booting：Network service is connected, according to server-side time calibration local zone time,
Height of the preset sensing terminal away from ground（Height above sea level for calibrating road surface）.
] sampling interval Choice：Adaptive interval sampling, sampling interval next time are adopted by preamble sampled point
The change rate of sample data determines that change rate is bigger, and the sampling interval is smaller, conversely, change rate is smaller, the sampling interval is bigger.
In order to reduce the interaction times of " vehicle-mounted sensing terminal " and " track server-side ", different types of sampling is believed
Breath shares sampled point, and the sampling interval of each type information is the integral multiple of minimum sampling interval, such as the sampling of elevation information
It is spaced, the sampling interval of weather information can be several times as much as the sampling interval etc. of location information.
" vehicle-mounted sensing terminal " collects above-mentioned running information according to pre-set sampling plan, in real time by mobile logical
Communication network is transferred to specified " track server-side ".
When not having mobile network can be used, sample information is temporarily stored in " vehicle-mounted sensing terminal " locally, works as movement later
When network can be used again, bulk transfer to " track server-side ".
" track server-side " is high in the clouds data service system corresponding with " vehicle-mounted sensing terminal ", is responsible in time receiving simultaneously
The travelling data that processing long-range " vehicle-mounted sensing terminal " sends over, perform track calculates and road extraction.
" track server-side " handles " sampled point " data that each " vehicle-mounted sensing terminal " sends over, by what is closed on
" sampled point " is fitted to continuous, smooth curve by the means of numerical computations, forms wheelpath.
When motor vehicle passes through certain special road sections, certain components of " sampled point " information can temporarily be lost（As motor vehicle passes through
The location information sampled when tunnel is crossed to lose）, the mode of processing：According to the matched curve of preamble sampled point and subsequent sampling point
Matched curve polishing sampled point component by way of mathematical interpolation, the approximation as actual value.
" track server-side " calculates the average speed between two sampled points according to sampling time interval, and in wheelpath
On do speed, direction label.
The height and weather information is further to wheelpath is extended that " track server-side " basis " sampled point " is collected
Label：The sea level on the average of branch segment mark driving, the meteorological condition of subregion field mark traveling, zone marker cover all warps
Cross the wheelpath in this region.
Wheelpath concentrated expression after the label driving condition of motor vehicle, referred to as " digitlization wheelpath ", it
It is the multidimensional such as a kind of running time comprising motor vehicle, traveling-position, height above sea level, travel speed, travel direction, meteorological condition
The wheelpath curve of information.
" digital road " is different from physical road with the real world, for motor-driven vehicle going in its extracts physical road
Effective road surface space is formed, is wrapped simultaneously by a series of " digitlization wheelpath " dynamic constructions actually occurred on road surface
Travelling data containing real-time travelling data and history is a kind of dynamic existence form on driving road surface.
Regard one group of set of curves as with section equidirectional a series of " digitlization wheelpaths " by one group, set of curves is carried
External profile is taken, which constitutes the road surface space of " digital road ", and the width of profile determines the width of " digital road ",
The boundary of profile determines the physical interface of " digital road " and surrounding enviroment.
Regard two groups of " digitlization wheelpaths " with section different directions as two groups of opposite set of curves of direction, by two
Contiguous space between group set of curves profile determines line of demarcation or isolation strip between two-way road.
If the profile of two groups of set of curves frequently intersects, judge that stringent line of demarcation or isolation is not present in two-way road
Band, the two-way road surface space of the unions of two groups of set of curves profiles as " digital road ", the center line on road surface is as two-way vehicle
The virtual line of demarcation in road.
The travelling data carried to " digitlization wheelpath " executes data statistics and analysis, on this basis to having been formed
" digital road " make the label of automation, mark content：Turning section, traffic light intersection（Position）, intersection, on
Descending section, tunnel etc..
According to the variation curvature estimation of the external profile of matched curve cluster and mark the turning radius of " digital road ".
Two groups cross one another " digitlization wheelpath ", if there is the driving rule of current mutual exclusion, and passes through and prohibits
The capable time determines, then marks traffic light intersection, and calculate traffic light time control parameter.
Two groups cross one another " digitlization wheelpath ", if passage is independent of each other, and the road surface of infall is in the presence of aobvious
The difference in height of work is then labeled as overhead intersection, and indicates the pavement-height of difference.
According to the altitude info ination that " digitlization wheelpath " sampled point includes, pavement branch sections determine the mean height on road surface
Degree.
Uphill way and the descending section of " digital road " are determined by the variation tendency of neighbouring sample point height, and are calculated
Go out the gradient on road surface.
Location components under the conditions of strong masking in sample point data can be lacked temporarily, if this missing has rule
Property, and range determines, then corresponding " digital road " is labeled as tunnel road, and indicates length of tunnel.
Based on " digitlization wheelpath " and its " digital road " that is formed, pavement branch sections calculate being averaged for wagon flow at times
The average percent of pass of speed, wagon flow（In unit interval by vehicles number）.
According to " digital road " in a series of isochronous surfaces（Period）On average flow speeds and percent of pass, draw road
The flow speeds curve and percent of pass curve on road：I.e. specified time is sliced, on the curve of description road axis, by section point
Corresponding flow speeds and percent of pass are not marked.
It is described relative to traditional physical road, the process for forming " digital road " by " digitlization wheelpath " is
One dynamic process.
When actual physical road changes, the wheelpath to motor vehicle on road surface is necessarily affected, is thus corresponded to
" digital road " change therewith, therefore " digital road " proposed by the present invention has self-learning capability, i.e. physics
When road and its road conditions change, " digital road " is updated in time.
Description of the drawings
Fig. 1 is the technology of the present invention schematic diagram.
Fig. 2 is key link schematic diagram of the present invention.
Fig. 3 is flow diagram of the embodiment of the present invention.
Fig. 4 is organizational structure schematic diagram of the embodiment of the present invention.
Specific implementation mode
Below by typical embodiment, and in conjunction with attached drawing, further illustrate the technology and method of this invention.
Implement the case of the present invention, it is necessary first to build " cloud " and " end " two class infrastructure, " end " here refers to " vehicle
Carry sensing terminal ", the travelling data for sampling motor vehicle；Here " cloud " refers to cloud service, that is, " the track clothes in illustrating
Business end ", every travelling data for focusing on " vehicle-mounted sensing terminal " acquisition.
It for actual physical road, constructs corresponding " digital road ", needs a series of " digitlization driving rail
Mark " needs " the vehicle-mounted sensing terminal " of a certain number of motor vehicle equipment present invention thus, this is the base of the embodiment of the present invention
Plinth condition.
Fig. 1 gives the technical principle that a physical road forms " digital road "." vehicle-mounted sensing end on motor vehicle
End " executes the data sampling of certain frequency, forms a series of " sampled point " data；It is formed by curve matching by " sampled point "
" digitlization wheelpath "；By the external profile of a series of " digitlization wheelpath " extraction set of curves, " digitlization road is formed
The road surface on road "；The data carried by analyzing a series of " digitlization wheelpaths ", obtain the call parameter of " digital road "
And driving road-condition.
Fig. 2 gives three key links of the embodiment of the present invention：S10-- " travelling data acquisition " link, by " vehicle-mounted biography
Sense terminal " is responsible for acquiring and pooling " sampled point " data being sent to " track server-side "；S20-- " digitlization wheelpath ",
One of the key link implemented by " track server-side ", is fitted sample point data, forms the geometric locus for carrying running information；
S30-- " digital road " extracts " digitlization wheelpath " set of curves by the two of the key link that " track server-side " is implemented
Profile, and in profile track carry travelling data execute statistics and analysis.
Fig. 3 gives in the embodiment of the present invention by " vehicle-mounted sensing terminal " to the main flow for forming " digital road "：
1. " vehicle-mounted sensing terminal " configures the path sensor on motor vehicle；2. travelling data acquires, sample point data passes through shifting
Dynamic network is sent to preset track server-side；3. sampled point is fitted, the sampled point closed on is fitted to curve successively,
Form the geometric locus of motor vehicle；4. digitizing wheelpath, include the geometric locus of travelling data；5. extracting orbit wheel
Exterior feature forms the road surface space of motor-driven vehicle going；6. digital road carries the road surface space of traffic information；7. digitizing rail
Mark is analyzed, and the data carried to " the digitlization wheelpath " in profile execute data statistics and processing；8. road extension mark
Note, according to the major parameter and its road conditions of the data results reference numbers road of back；9. track road data
Library, the dynamic real time data library formed by " sampled point " data, " digitlization wheelpath " data and " digital road " data；
10. data service and application, carry out all kinds of " wisdom " application on the basis of track transportation database, include self of road
Study and update, offer outbound data service interface etc..
The present invention is suitable for the digitlization scene of the town and country motor road of broad sense, including planning and the road do not planned
Road.
The application of the present invention is introduced in introduction to embodiment for convenience by taking one leads to the road in certain village as an example below
Method and step.
Background 1：Certain village is located in place deep in the mountains, picturesque far from city, and tourist resources is abundant, but leads to city
Road bumpiness is tortuous, crosses over mountain after mountain, zigzag 18 is curved, and fine day is flown upward at soil, and rainy day miriness can't bear；The year before, incoming village
It is long to determine loan by this road reformation at the asphalt road of minimum standard.
Background 2：Before one month, asphalt road is open to the traffic, and village head determines to expand international communication by this road, develops farmers'
Happy green tour.
Background 3：Village head seeks advice from unique university student in village（One of this project inventor）, the scheme provided is：Allow this
Asphalt road accesses map as early as possible, allows more people that can inquire the presence on this road on map.
There is no surveying and mapping datas, thus university student to have customized " the vehicle-mounted sensing end of tens of playscript with stage directions projects for this asphalt road
End ", and be responsible for freely being mounted on all motor vehicles in this village；University student is established by means of the cloud computing platform of commerciality simultaneously
Corresponding " track server-side ".
" vehicle-mounted sensing terminal " starts with vehicle, is connected to " track server-side " by mobile network after booting, and according to thing
The sampling plan being first arranged provides the travelling data of motor vehicle for server.
As the motor vehicle in village is constantly round-trip, inside the city " track server-side " receives sampled data of endlessly driving a vehicle,
" digitlization wheelpath " curve on this asphalt road is depicted on the server in real time.
There are " digitlization wheelpath " curve, " track server-side " to extract the profile of this group of curve, corresponding " digitlization
Road " is also set up therewith, and with the accumulation of geometric locus, and " digital road " fast and stable gets off.
Hereafter, it if certain sections of this asphalt road are changed, is necessarily embodied in " digitlization wheelpath ", such as
Fruit geometric locus causes the profile of set of curves to change, and " digital road " here can also update therewith.
While safeguarding " digital road ", subsequent " digitlization wheelpath " is mainly used for real-time tracking motor vehicle
Whereabouts and asphalt road driving road-condition.
" the digitlization wheelpath " that " track server-side " basis has obtained, to " digital road " of this asphalt road
Execute the label of automation, such as road width, climb and fall section, average speed per hour, percent of pass.
The Web service that village head and villagers provide on mobile phone, on computers by " track server-side ", can be in real time
Check the whereabouts of this village's motor vehicle and the driving road-condition of this asphalt road.
At the same time, this village's motor vehicle travelled on asphalt road, " vehicle-mounted sensing terminal " on vehicle pass through " track service
The real time data that end " provides, " can perceive " distance and bearing of motor vehicle nearby in real time.
University student contacts certain map operator, and the data-interface of this asphalt road is provided for operator, and then this village is built
Asphalt road geodata and its travelling data be dynamically connected on the map in this city.
The map that people are provided by the operator, can inquire this asphalt road, more and more urban residents and outer
People from ground comes the village of this place deep in the mountains by this " digital road ".
Embodiment described above is only the case displaying of the present invention, rather than all.It is every that with the present invention, " right is wanted
Seek book " involved in technical characteristic derived from case, belong to the present invention reasonable application.
Claims (4)
1. a kind of method by " digitlization wheelpath " construction " digital road ", it is characterised in that：
" digital road " is different from physical road with the real world, effective for motor-driven vehicle going in its extracts physical road
Road surface space, while including real-time travelling data and the travelling data of history, be a kind of dynamic on autos only road surface
Existence form；
Regard one group of set of curves with direction as with the equidirectional wheelpath in section by one group, it is external to extract its to this set of curves
Profile, the profile constitute the road surface space of " digital road ", and the width of profile determines the width of " digital road ", profile
Boundary determines the physical interface of " digital road " and surrounding enviroment；
The processing of two-way street：Regard two groups of wheelpaths with section different directions as two groups of opposite set of curves of direction, by
The contiguous space of two groups of set of curves profiles determines the line of demarcation or isolation strip between two-way road；If the profile of two groups of set of curves
Frequently intersect, then judges that stringent line of demarcation or isolation strip is not present in two-way road, the union of two groups of set of curves profiles is as " number
The road surface space of word road ", the virtual line of demarcation of the center line on road surface as two-way lane.
2. " digital road " building method according to claim 1, a kind of generating algorithm of " digitlization wheelpath ",
It is characterized in that：
" digitlization wheelpath " is a kind of running time comprising motor vehicle, traveling-position, ride-height（Height above sea level）, row
Sail the driving curve of the multidimensional information such as the meteorological condition of speed, travel direction, traveling；
" digitlization wheelpath " is formed by connecting by the sampled point of series of discrete, the driving number of each sampled point extraction motor vehicle
According to：Sampling time, road surface height above sea level, vehicle position（Longitude and latitude position coordinates）, motor vehicle local environment meteorological data
Deng by the running speed and travel direction of two neighbouring sample point determination sections；Pass through numerical value between discrete neighbouring sample point
The means of calculating are fitted to continuous, smooth curve, are consequently formed " digitlization wheelpath "；
When motor vehicle passes through certain special road sections, certain components of " sampled point " information can temporarily be lost（As motor vehicle passes through tunnel
The location information sampled when road is lost）, the mode of processing：According to the fitting of the matched curve of preamble sampled point and subsequent sampling point
The mode polishing sampled point component of curve negotiating mathematical interpolation, the approximation as actual value；
The Choice in sampling interval：Adaptive interval sampling, the sampling interval next time is by preamble sampled point sampled data
Change rate determine, change rate is bigger, and the sampling interval is smaller, conversely, change rate is smaller, the sampling interval is bigger；
For different types of sample information, sampled point is shared, the sampling interval of each type information is minimum sampling interval
Integral multiple.
3. " digital road " building method according to claim 1, a kind of " pavement marker of extension " method, feature
It is：
The travelling data carried to " digitlization wheelpath " executes data statistics and analysis, on this basis to established
" digital road " makes the label of automation, marks content：Turning section, traffic light intersection（Position）, intersection, up and down
Slope section, tunnel etc.；
According to the variation curvature estimation of the external profile of matched curve cluster and mark the turning radius of " digital road "；
Two groups cross one another " digitlization wheelpath ", if there is the driving rule of current mutual exclusion, and it is current and forbidden
Time determines, then marks traffic light intersection, and calculate traffic light time control parameter；
Two groups cross one another " digitlization wheelpath ", if passage is independent of each other, and the road surface of infall exists significantly
Difference in height is then labeled as overhead intersection, and indicates the pavement-height of difference；
According to the altitude info ination that " digitlization wheelpath " sampled point includes, pavement branch sections determine the average height on road surface；By
The variation tendency of neighbouring sample point height determines uphill way and the descending section of " digital road ", and calculates the slope on road surface
Degree；
Location components under the conditions of strong masking in sample point data can be lacked temporarily, if this missing has regularity, and
Range determines that then corresponding " digital road " is labeled as tunnel road, and indicates length of tunnel.
4. " digital road " building method according to claim 1, one kind is based on " digitlization wheelpath " and " number
The application process of change road ", it is characterised in that：
Based on " digitlization wheelpath " and its " digital road " that is formed, the average speed of the wagon flow of pavement branch sections calculating at times
The average percent of pass of degree, wagon flow（In unit interval by vehicles number）；
According to " digital road " in a series of isochronous surfaces（Period）On average flow speeds and percent of pass, draw road
Flow speeds curve and percent of pass curve：I.e. specified time is sliced, and on the curve of description road axis, is marked respectively by section
Remember and corresponding flow speeds and percent of pass.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810334993.4A CN108447262A (en) | 2018-04-15 | 2018-04-15 | One kind being constructed the technology and method of " digital road " by wheelpath |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810334993.4A CN108447262A (en) | 2018-04-15 | 2018-04-15 | One kind being constructed the technology and method of " digital road " by wheelpath |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108447262A true CN108447262A (en) | 2018-08-24 |
Family
ID=63200003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810334993.4A Pending CN108447262A (en) | 2018-04-15 | 2018-04-15 | One kind being constructed the technology and method of " digital road " by wheelpath |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108447262A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109443360A (en) * | 2018-10-18 | 2019-03-08 | 南京天辰礼达电子科技有限公司 | A kind of vehicle driving trace generation and stitching algorithm based on polygon |
| CN110942638A (en) * | 2019-12-18 | 2020-03-31 | 福建工程学院 | Method and system for identifying topological connection edge direction of urban road network |
| CN112562372A (en) * | 2020-11-30 | 2021-03-26 | 腾讯科技（深圳）有限公司 | Track data processing method and related device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1937001A (en) * | 2006-10-19 | 2007-03-28 | 上海交通大学 | Method for obtaining everage speed of city road section traffic flow |
| CN101210825A (en) * | 2006-12-27 | 2008-07-02 | 爱信艾达株式会社 | Map information generating systems |
| CN101290725A (en) * | 2007-04-17 | 2008-10-22 | 株式会社日立制作所 | Digital road map generation system and map generation method |
| JP2010014658A (en) * | 2008-07-07 | 2010-01-21 | Mitsubishi Electric Corp | Map information processing apparatus |
| CN101650890A (en) * | 2009-09-18 | 2010-02-17 | 西安煤航信息产业有限公司 | Method for expressing processing of roads on map |
| CN101650190A (en) * | 2009-07-30 | 2010-02-17 | 北京四维图新科技股份有限公司 | Map change reporting method and navigation terminal |
| CN102032910A (en) * | 2010-10-19 | 2011-04-27 | 清华大学 | Real-time self-investigation new path generating method of vehicle-mounted navigation map |
| JP4725509B2 (en) * | 2006-12-27 | 2011-07-13 | アイシン・エィ・ダブリュ株式会社 | New road width calculation system |
| CN102706354A (en) * | 2012-04-25 | 2012-10-03 | 深圳市华盈泰科技有限公司 | Method and system for automatically and incrementally upgrading intelligent map based on internet of vehicles |
| CN105045973A (en) * | 2015-07-02 | 2015-11-11 | 兰州理工大学 | Variable-arc-length adaptive sampling method |
-
2018
- 2018-04-15 CN CN201810334993.4A patent/CN108447262A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1937001A (en) * | 2006-10-19 | 2007-03-28 | 上海交通大学 | Method for obtaining everage speed of city road section traffic flow |
| CN101210825A (en) * | 2006-12-27 | 2008-07-02 | 爱信艾达株式会社 | Map information generating systems |
| JP4725509B2 (en) * | 2006-12-27 | 2011-07-13 | アイシン・エィ・ダブリュ株式会社 | New road width calculation system |
| CN101290725A (en) * | 2007-04-17 | 2008-10-22 | 株式会社日立制作所 | Digital road map generation system and map generation method |
| JP2010014658A (en) * | 2008-07-07 | 2010-01-21 | Mitsubishi Electric Corp | Map information processing apparatus |
| CN101650190A (en) * | 2009-07-30 | 2010-02-17 | 北京四维图新科技股份有限公司 | Map change reporting method and navigation terminal |
| CN101650890A (en) * | 2009-09-18 | 2010-02-17 | 西安煤航信息产业有限公司 | Method for expressing processing of roads on map |
| CN102032910A (en) * | 2010-10-19 | 2011-04-27 | 清华大学 | Real-time self-investigation new path generating method of vehicle-mounted navigation map |
| CN102706354A (en) * | 2012-04-25 | 2012-10-03 | 深圳市华盈泰科技有限公司 | Method and system for automatically and incrementally upgrading intelligent map based on internet of vehicles |
| CN105045973A (en) * | 2015-07-02 | 2015-11-11 | 兰州理工大学 | Variable-arc-length adaptive sampling method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109443360A (en) * | 2018-10-18 | 2019-03-08 | 南京天辰礼达电子科技有限公司 | A kind of vehicle driving trace generation and stitching algorithm based on polygon |
| CN109443360B (en) * | 2018-10-18 | 2022-04-05 | 南京天辰礼达电子科技有限公司 | Vehicle driving track generation and splicing method based on polygon |
| CN110942638A (en) * | 2019-12-18 | 2020-03-31 | 福建工程学院 | Method and system for identifying topological connection edge direction of urban road network |
| CN112562372A (en) * | 2020-11-30 | 2021-03-26 | 腾讯科技（深圳）有限公司 | Track data processing method and related device |
| CN112562372B (en) * | 2020-11-30 | 2021-11-16 | 腾讯科技（深圳）有限公司 | Track data processing method and related device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102737510B (en) | Real-time traffic condition acquisition method based on mobile intelligent terminal | |
| US11846522B2 (en) | Warning polygons for weather from vehicle sensor data | |
| US11423677B2 (en) | Automatic detection and positioning of pole-like objects in 3D | |
| US9222786B2 (en) | Methods and systems for creating digital transportation networks | |
| CN100357987C (en) | Method for obtaining average speed of city rode traffic low region | |
| US11217104B2 (en) | Airflow modeling for route optimization | |
| CN106454722A (en) | Dynamic differential positioning method based on map matching for mobile communication terminals | |
| US11237007B2 (en) | Dangerous lane strands | |
| CN101832779B (en) | Navigation method in complicated environment | |
| CN108447262A (en) | One kind being constructed the technology and method of " digital road " by wheelpath | |
| CN106710208A (en) | Traffic state acquisition method and device | |
| WO2011053388A1 (en) | Method and apparatus for temporal slicing of datasets including mobile gps traces | |
| EP3671278B1 (en) | Road surface detection | |
| US11704897B2 (en) | Lane count estimation | |
| CN109520499B (en) | Method for realizing regional real-time isochrones based on vehicle GPS track data | |
| CN102956105A (en) | Floating car sample point data interpolation method | |
| CN110864696A (en) | Three-dimensional high-precision map drawing method based on vehicle-mounted laser inertial navigation data | |
| CN104599499A (en) | Distributed statistic method and device for traffic position | |
| Gupta et al. | Road grade estimation using crowd-sourced smartphone data | |
| US10657683B2 (en) | Hazard warning polygons constrained based on end-use device | |
| Karagulian et al. | A simplified map-matching algorithm for floating car data | |
| CN109612458A (en) | The method for realizing user location tracking in mountain area environment using mobile phone air pressure and acceleration transducer | |
| CN106056953B (en) | The method that traffic route information is obtained based on low precision gps data | |
| EP3413099B1 (en) | Method and apparatus for providing a weather volatility index | |
| CN112212877A (en) | Internet of things unmanned vehicle and navigation path calculation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180824 |