CN109596134A - Automobile navigation method, device, computer equipment and storage medium - Google Patents
Automobile navigation method, device, computer equipment and storage medium Download PDFInfo
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- CN109596134A CN109596134A CN201811347880.4A CN201811347880A CN109596134A CN 109596134 A CN109596134 A CN 109596134A CN 201811347880 A CN201811347880 A CN 201811347880A CN 109596134 A CN109596134 A CN 109596134A
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- navigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3691—Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
Abstract
The embodiment of the invention discloses a kind of automobile navigation method, device, computer equipment and storage mediums, include the following steps: to obtain identity information and navigation information that target user is played the part of in this navigation, wherein, the navigation information includes the start-stop point information of navigation；The contextual model of this navigation is determined according to the identity information, the start-stop point information and preset scene judgment models, the scene judgment models are the neural network model that training is used to classify according to context information of the data to data characterization to convergence state；The navigation mode that there are mapping relations with the contextual model is searched in preset navigation pattern base；Navigation routine is calculated according to the navigation mode and the start-stop point information.By this air navigation aid, different navigation modes can be determined according to actual driving scene, solve the problems, such as that current navigation mode can not change navigation mode according to the demand of user, the navigation routine for meeting self-demand is provided for user.
Description
Technical field
The present invention relates to computer application technologies, set more particularly to a kind of automobile navigation method, device, computer
Standby and storage medium.
Background technique
With the continuous growth of Global Auto quantity, highway communication shows wagon flow densification and driver's deprofessionaliztion
How feature effectively guides traffic, and the drive route tool for providing reasonable economy for driver has very important significance, and passes through
To the relatively more extensive some navigation system investigation discoveries of current application, they are that the method based on shortest path mentions for user mostly
For navigation Service, this navigation system operation is simple, quickly can select stroke route for user, but with traffic environment
It becomes increasingly complex, often shortest path is not most economical path.
In fact, either individual, enterprise, carrier, all very concern automobile exist with the continuous raising of domestic oil price
Fuel-efficient performance in driving process, therefore from user's economic interests, private car, the state are controlled using certain technological means
The driving oil consumption of vehicle, commerial vehicle be can yet be regarded as an effective way of energy-saving and emission-reduction.On the other hand, under different contextual models
May need different navigation needs, for example, when self-driving, when more people trip, prostitution family, transportation service etc., current navigation system
System can not provide corresponding navigation routine according to practical scene, and the demand of user is not being met.
Summary of the invention
The embodiment of the present invention be capable of providing it is a kind of be capable of providing meet the navigation routine of user demand automobile navigation method,
Device, computer equipment and storage medium.
In order to solve the above technical problems, the technical solution that the embodiment of the invention uses is: providing a kind of vapour
Vehicle air navigation aid, comprising the following steps:
Obtain identity information and navigation information that target user is played the part of in this navigation, wherein the navigation information
Start-stop point information including navigation；
The scene of this navigation is determined according to the identity information, the start-stop point information and preset scene judgment models
Mode；
The navigation mode that there are mapping relations with the contextual model is searched in preset navigation pattern base；
Navigation routine is calculated according to the navigation mode and the start-stop point information.
Optionally, described to determine this according to the identity information, the start-stop point information and preset scene judgment models
The step of contextual model of secondary navigation, comprising the following steps:
By the identity information and the start-stop point information input into the scene judgment models, wherein the scene
Judgment models are the neural network mould that training is used to be classified according to context information of the data to data characterization to convergence state
Type；
Obtain the classification results of the scene judgment models output；
The context data for defining the classification results characterization is the contextual model.
Optionally, the navigation mode includes navigational parameter, described according to the navigation mode and the start-stop point information
The step of calculating navigation routine, comprising the following steps:
Obtain the navigational parameter, wherein the navigational parameter includes information of vehicles and weather conditions information；
The road to match with the information of vehicles and the weather conditions information is searched in preset road information library
Information, wherein the road information includes the average fuel consumption amount of road；
Navigation routine is determined according to the average fuel consumption amount and the start-stop point information.
Optionally, described the step of navigation routine is determined according to the average fuel consumption amount and the start-stop point information, including
Following steps:
At least one of the connection start-stop point is determined according to the start-stop point information and preset route planning model
Route；
Calculate the oil consumption total value of at least one route, wherein the institute that the oil consumption total value includes by the route
There is the sum of the average fuel consumption amount of road；
Defining the least route of oil consumption total value described at least one route is the navigation routine.
Optionally, include the following steps:
Obtain the traveling record of target vehicle, wherein traveling record includes travel and vehicle oil consumption；
The average fuel consumption amount of the travel is calculated according to the vehicle oil consumption and preset oil consumption computation model；
The average fuel consumption amount of the travel is uploaded in the road information library.
Optionally, the navigation mode includes navigational parameter, described according to the navigation mode and the start-stop point information
The step of calculating navigation routine, includes the following steps:
Obtain the navigational parameter, wherein the navigational parameter includes that the real-time of road passes through the time；
At least one of the connection start-stop point is determined according to the start-stop point information and preset route planning model
Route；
Calculate the running time of at least one route, wherein the institute that the running time includes by the route
Have road passes through the sum of time in real time；
Defining the least route of running time described at least one route is the navigation routine.
Optionally, include the following steps:
Obtain the running condition information of target vehicle；
According to the running condition information and preset driving behavior judgment models, judge driver with the presence or absence of unreasonable
Driving behavior；
Unreasonable driving behavior if it exists provides correct drive advice according to preset suggestion rule for driver.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of automobile navigation apparatus, comprising:
Obtain module, the identity information and navigation information played the part of in this navigation for obtaining target user, wherein
The navigation information includes the start-stop point information of navigation；
First processing module, for according to the identity information, the start-stop point information and preset scene judgment models
Determine the contextual model of this navigation；
Second processing module has mapping relations with the contextual model for searching in preset navigation pattern base
Navigation mode
Execution module, for calculating navigation routine according to the navigation mode and the start-stop point information.
Optionally, the automobile navigation apparatus, further includes:
First input submodule, for the identity information and the start-stop point information input to be judged mould to the scene
In type, wherein the scene judgment models be training to convergence state be used for according to data to the context information of data characterization into
The neural network model of row classification；
First acquisition submodule, for obtaining the classification results of the scene judgment models output；
First implementation sub-module, the context data for defining the classification results characterization is the contextual model.
Optionally, the automobile navigation apparatus, further includes:
Second acquisition submodule, for obtaining the navigational parameter, wherein the navigational parameter includes information of vehicles and day
Gas condition information；
First processing submodule, it is vaporous with the information of vehicles and the day for being searched in preset road information library
The road information that condition information matches, wherein the road information includes the average fuel consumption amount of road；
Second implementation sub-module, for determining navigation routine according to the average fuel consumption amount and the start-stop point information.
Optionally, the automobile navigation apparatus, further includes:
Second processing submodule, for being determined described in connection according to the start-stop point information and preset route planning model
At least one route of start-stop point；
Third handles submodule, for calculating the oil consumption total value of at least one route, wherein the oil consumption total value is
The sum of the average fuel consumption amount of all roads that the route is included；
Third implementation sub-module is described for defining the least route of oil consumption total value described at least one route
Navigation routine.
Optionally, the automobile navigation apparatus, further includes:
Third acquisition submodule, for obtain target vehicle traveling record, wherein traveling record include travel and
Vehicle oil consumption；
Fourth process submodule, for calculating the travel road according to the vehicle oil consumption and preset oil consumption computation model
The average fuel consumption amount on road；
4th implementation sub-module, for the average fuel consumption amount of the travel to be uploaded in the road information library.
Optionally, the automobile navigation apparatus, further includes:
4th acquisition submodule, for obtaining the navigational parameter, wherein the navigational parameter includes the real-time logical of road
Spend the time；
5th processing submodule, for being determined described in connection according to the start-stop point information and preset route planning model
At least one route of start-stop point；
6th processing submodule, for calculating the running time of at least one route, wherein the running time is
All roads that the route is included pass through the sum of time in real time；
5th implementation sub-module is described for defining the least route of running time described at least one route
Navigation routine.
Optionally, the automobile navigation apparatus, further includes:
5th acquisition submodule, for obtaining the running condition information of target vehicle；
7th processing submodule, for according to the running condition information and preset driving behavior judgment models, judgement
Driver whether there is unreasonable driving behavior；
6th implementation sub-module is mentioned for driving behavior unreasonable if it exists according to preset suggestion rule for driver
For correct drive advice.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of computer equipment, including memory and processing
Device is stored with computer-readable instruction in the memory, when the computer-readable instruction is executed by the processor, so that
The processor executes the step of automobile navigation method described above.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of storage Jie for being stored with computer-readable instruction
Matter, when the computer-readable instruction is executed by one or more processors, so that one or more processors execute above-mentioned institute
The step of stating automobile navigation method.
The beneficial effect of the embodiment of the present invention is: by obtaining the identity information of user and the start-stop point letter of this navigation
Breath determines the scene of this navigation according to different identity information and start-stop point, matches different navigation moulds for different scenes
Formula, no matter solving how actual conditions in existing air navigation aid are all user's asking with same schema creation navigation routine
Topic uses corresponding navigation mode under different scenes, and calculates navigation routine according to navigation mode and start-stop point information,
It can be generated according to the actual conditions of user such as consumption minimization or navigation routine the minimum time, meet client in different situations
Under different navigation demand.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the basic procedure schematic diagram of automobile navigation method of the embodiment of the present invention；
Fig. 2 is the flow diagram that the embodiment of the present invention judges contextual model；
Fig. 3 is the flow diagram of consumption minimization of embodiment of the present invention navigation；
Fig. 4 is the flow diagram that the embodiment of the present invention determines the minimum route of oil consumption；
Fig. 5 is the flow diagram that the embodiment of the present invention supplements road information bank content；
Fig. 6 is the flow diagram of the minimum Time Navigation of the embodiment of the present invention；
Fig. 7 is the flow diagram of driving habit of embodiment of the present invention suggestion；
Fig. 8 is the basic structure block diagram of automobile navigation apparatus of the embodiment of the present invention；
Fig. 9 is computer equipment of embodiment of the present invention basic structure block diagram.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.
In some processes of the description in description and claims of this specification and above-mentioned attached drawing, contain according to
Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its
Sequence is executed or is executed parallel, and serial number of operation such as 101,102 etc. is only used for distinguishing each different operation, serial number
It itself does not represent and any executes sequence.In addition, these processes may include more or fewer operations, and these operations can
To execute or execute parallel in order.It should be noted that the description such as " first " herein, " second ", is for distinguishing not
Same message, equipment, module etc., does not represent sequencing, does not also limit " first " and " second " and be different type.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those skilled in the art's every other implementation obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
Those skilled in the art of the present technique are appreciated that " terminal " used herein above, " terminal device " both include wireless communication
The equipment of number receiver, only has the equipment of the wireless signal receiver of non-emissive ability, and including receiving and emitting hardware
Equipment, have on bidirectional communication link, can execute two-way communication reception and emit hardware equipment.This equipment
It may include: honeycomb or other communication equipments, shown with single line display or multi-line display or without multi-line
The honeycomb of device or other communication equipments；PCS (PersonalCommunicationsService, PCS Personal Communications System), can be with
Combine voice, data processing, fax and/or communication ability；PDA (PersonalDigitalAssistant, individual digital
Assistant), may include radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, calendar and/
Or GPS (GlobalPositioningSystem, global positioning system) receiver；Conventional laptop and/or palmtop computer
Or other equipment, have and/or the conventional laptop including radio frequency receiver and/or palmtop computer or other equipment.
" terminal " used herein above, " terminal device " can be it is portable, can transport, be mounted on the vehicles (aviation, sea-freight and/
Or land) in, or be suitable for and/or be configured in local runtime, and/or with distribution form, operate in the earth and/or sky
Between any other position operation." terminal " used herein above, " terminal device " can also be communication terminal, access terminals,
Music/video playback terminal, for example, can be PDA, MID (MobileInternetDevice, mobile internet device) and/or
Mobile phone with music/video playing function is also possible to the equipment such as smart television, set-top box.
Specifically referring to Fig. 1, Fig. 1 is the basic procedure schematic diagram of the present embodiment automobile navigation method.
As shown in Figure 1, a kind of automobile navigation method, comprising the following steps:
S1100, identity information and navigation information that target user is played the part of in this navigation are obtained, wherein described to lead
Boat information includes the start-stop point information of navigation；
Identity information of the user in this navigation is obtained, for determining the contextual model of this navigation, wherein identity letter
Breath contains role of user, such as car owner, boss, client or passenger etc., but not limited to this.In some embodiments
In, identity information is obtained by the application program of mobile intelligent terminal, and the determination of identity information can be user and voluntarily input
Critical field be matched to the information set in system, be also possible to by system generate list for user select；Identity
Information can be multiple keywords or keyword set by system manager's information according to required for contextual model, can also
To be list that system voluntarily passes through that the Rule of judgment of contextual model automatically generates.
Obtain the navigation information of this navigation, wherein navigation information has included at least start-stop point information, and start-stop point information is used
In the beginning and end for determining this navigation.In some embodiments, navigation information further comprises transit point information, Yong Huke
The transit point that one or more places are navigated as this is set with the demand according to itself.User is by input address on navigation ground
Starting point, terminal or transit point are determined in figure, in some embodiments, the acquisition of start position can be according to intelligent terminal
Positioning system gets current position as starting point, and in other embodiments, the selection in place can be by leading
Selection position is set on boat map.
S1200, this navigation is determined according to the identity information, the start-stop point information and preset scene judgment models
Contextual model；
By identity information and start-stop point information input into scene judgment models, wherein scene judgment models are to train extremely
Convergence state is used for the neural network model classified according to context information of the data to data characterization, obtains the scene and sentences
The classification results of disconnected model output, the context data for defining the classification results characterization is the contextual model.In training scene
When judgment models, training sample is grouped by obtaining a large amount of training samples (such as 1000), and according to the difference of scene,
By the identity information of same group of multiple training samples and start-stop point information input into preset disaggregated model, obtain respectively
The scene classification value of each training sample is ranked up, really by scene classification value of the qualifications to a training sample of numerical value
Recognize the expectation classification value that scene classification value in an intermediate position in the ranking results is the multiple training sample.Scene is sentenced
Disconnected model be equipped with the classification of multiple scenes (such as it is on and off duty, daily go on a tour, public affair is gone on business, prostitution family or operation etc., but unlimited
In this), and each scene respectively corresponds a scene classification standard value.When between desired classification value and scene classification standard value
Distance be greater than preset first threshold when, iterative cycles iteration is updated in the neural network model by inverse algorithms
Weight, until expectation the distance between classification value and scene classification standard value terminate when being less than or equal to preset first threshold.
S1300, the navigation mode that there are mapping relations with the contextual model is searched in preset navigation pattern base；
Navigation mode can be set according to actual demand it is a variety of, such as consumption minimization navigation, minimum Time Navigation or
Minimum path navigation etc., but not limited to this.Every kind of navigation mode corresponds to one or more contextual models, for example, working as scene mould
When formula is judged as that family goes on a tour, navigation model selection consumption minimization navigation；When contextual model is judged as public affair, navigation mode choosing
Select minimum Time Navigation.After having judged contextual model, navigation mould corresponding with contextual model is searched in navigation pattern base
Formula, the navigation mode as this navigation.
S1400, navigation routine is calculated according to the navigation mode and the start-stop point information；
Determine that navigation mode obtains information required for navigation mode, in some embodiments, different navigation later
Mode is not necessarily identical for calculating information required for navigation routine, for example, needing to obtain when selecting consumption minimization navigation
Current vehicle, weather conditions, and corresponding road fuel consumption values are searched according to the weather conditions of vehicle, pass through and calculates fuel consumption values
Mode select connection start-stop point consumption minimization route as navigation routine.For another example, it when selecting minimum Time Navigation, needs
Obtain current real-time road, i.e., each road by the time, connection start-stop point is selected by way of calculating through the time
Time, minimum route was as navigation routine.
By the determination method of this navigation routine, different navigation modes can be selected according to the different demands of user,
And the navigation routine being adapted therewith out according to different navigation mode computations, reached according to the actual conditions of client and is reduced expenses
Or the beneficial effects such as time are saved, meet the demand in varied situations of user.
As shown in Fig. 2, step S1200 specifically includes the following steps:
S1210, by the identity information and the start-stop point information input into the scene judgment models, wherein institute
Stating scene judgment models is the nerve that training is used to be classified according to context information of the data to data characterization to convergence state
Network model；
The identity information and start-stop point information input that will acquire are to trained in advance to convergent neural network model, sheet
Neural network model in embodiment can be CNN convolutional neural networks model or VGG convolutional neural networks model.It is described
Neural network model is in training, by obtaining a large amount of identity informations and start-stop point information as training sample set, according to scene
Difference, training sample set is grouped, same group of multiple identity informations and start-stop point information are sequentially inputted to preset
Disaggregated model in, the scene classification value of multiple identity informations and start-stop point information is obtained respectively, using numerical value as qualifications pair
Multiple identity informations and the scene classification value of start-stop point information are ranked up, and are confirmed in an intermediate position in the ranking results
Scene classification value is the expectation classification value with group identity information and start-stop point information.
S1220, the classification results for obtaining the scene judgment models output；
In some embodiments, the scene judgment models are classified equipped with multiple scenes, and the classification of each scene is right respectively
A scene classification standard value is answered, therefore, the classification data of scene judgment models output is identity information and start-stop point information category
In the probability value of each scene classification, the corresponding probability value of each scene classification is obtained, and according to the size of numerical value to each probability value
Carry out drop power sequence.
Maximum classification value in multiple classification values is obtained according to ranking results, i.e., is arranged in primary point in ranking results
Class value, the corresponding scene classification of the classification value.Illustrate that the classification results of scene judgment models show identity information and start-stop point
Information belongs to the maximum probability of the category, i.e. classification results show that the scene classification of identity information and start-stop point information belongs to classification
It is worth the corresponding scene classification of maximum number.
S1230, the context data for defining the classification results characterization are the contextual model；
The corresponding context data of the classification results is obtained after confirmation classification results, in some embodiments, by scene number
According to being divided into different actual conditions, such as " on and off duty ", " family goes on a tour ", " public affair " and " operation " etc..The division of posture is not
It is confined to this, according to the difference of concrete application scene, scene classification can be more detailed, can also be more rough.Define the scene
Data are the contextual model of the identity information and start-stop point information.By this method, can faster and more accurately judge
The contextual model of target user.
As shown in figure 3, step S1300 specifically includes the following steps:
S1310, the navigational parameter is obtained, wherein the navigational parameter includes information of vehicles and weather conditions information；
The acquisition of information of vehicles can pass through the preset mode of user, such as the navigation application program in intelligent terminal
Middle to set the vehicle model usually driven, in some embodiments, user, which can set, is not fixed driving vehicle, i.e., each
It all will go to start to navigate by way of setting information of vehicles at the beginning of navigation.In other embodiments, Ke Yitong
It crosses vehicle model bound in automobile navigation and obtains information of vehicles, is i.e. the vehicle mounted guidance of each car is all to be preset with this vehicle number
, vehicle model is included in navigational parameter automatically when starting navigation.
Obtaining for weather conditions information can get the real-time of location in such a way that intelligent terminal connects internet
Weather conditions information, or the weather induction module by being arranged on vehicle monitor weather conditions in real time, and weather conditions are turned
Information data is turned to be input in navigation model.
S1320, it searches in preset road information library and matches with the information of vehicles and the weather conditions information
Road information, wherein the road information includes the average fuel consumption amount of road；
Road information is stored in road information library, road information includes road name, site of road, corresponding vehicle, day
Vaporous condition and average oil consumption etc., but not limited to this.Every road is corresponding with different automobile types being averaged under different weather situation
Oil consumption, for example, in the average fuel consumption amount of X road being 1 liter when A vehicle models fine day.When getting information of vehicles and it is vaporous
After condition information, the average fuel consumption amount of the road to match with information of vehicles and weather conditions information is searched in road information library,
Such as getting information of vehicles is A model vehicle, weather conditions are the rainy day, then search A model vehicle in the rainy day all roads it is flat
Equal oil consumption, to calculate in next step.In some embodiments, the straight of connection start-stop point can be generated according to start-stop point information
Line obtains the road information in the preset range for connecting the straight line, to reduce the data volume obtained.
S1330, navigation routine is determined according to the average fuel consumption amount and the start-stop point information；
At least one of the connection start-stop point is determined according to the start-stop point information and preset route planning model
Route calculates the oil consumption total value of at least one route, wherein all roads that the oil consumption total value includes by the route
The sum of the average fuel consumption amount on road, defining the least route of oil consumption total value described at least one route is the navigation road
Line.
As shown in figure 4, step S1330 specifically includes the following steps:
S1331, the connection start-stop point is determined at least according to the start-stop point information and preset route planning model
One route；
After getting start-stop point information, one or more route of connection start-stop point is generated according to start-stop point information,
In some embodiments, generate route method can first according to start-stop point generate connection start-stop point straight line, and according to
Linear distance is calculated, searches road in default range, the route of connection start-stop point is generated with this, is also possible to according to start-stop
Point information, generates one or more route in preset distance or stroke range.Route planning model can be existing
Navigation model is also possible to the model of sets itself according to the actual situation.
S1332, the oil consumption total value for calculating at least one route, wherein the oil consumption total value is wrapped by the route
The sum of average fuel consumption amount of all roads contained；
After getting one or more route, all road names that each route is passed through are obtained, are calculated each
The sum of the average fuel consumption amount of all roads that route is included, the oil consumption total value as the route.Obtain described one or more
The oil consumption total value of route, the oil consumption total value are then that target vehicle is passed by the theoretical oil consumption total amount of the route under current weather.
For example, route 1 includes tri- roads of A, B and C according to start-stop point acquisition of information to route 1 and route 2, route 2 includes D and C two
Road, and X vehicle is respectively in the average fuel consumption amount of each road in rainy day downward driving, road A:1 liter；Road B:1.5 liter；Road
C:1.2 liter；Road D:2.2 liter.It is possible thereby to calculate, the oil consumption total amount of route 1 is 1+1.5+1.2=3.7 liter, the oil of route two
Consumption total amount is 2.2+1.2=3.4 liter.
S1333, the least route of oil consumption total value described at least one route is defined as the navigation routine；
When route has it is a plurality of when, count the oil consumption total value of all routes, and descending arrangement, definition are carried out according to oil consumption total value
The least route of oil consumption total value is the navigation routine；When route only has one, navigation described in the route is directly defined
Route.
By the method for this determining navigation routine, the navigation routine that oil consumption can be selected minimum for user, thus to use
Family is reduced expenses, while achieving the effect that economize on resources.
As shown in figure 5, further including following step:
S2100, the traveling record for obtaining target vehicle, wherein traveling record includes travel and vehicle oil consumption；
The oil consumption of the travel and vehicle of vehicle is got by the application program of intelligent terminal, wherein vehicle oil consumption
It can be will send information in the application program of intelligent terminal by the oil consumption detection device being installed on vehicle, pass through intelligence
The location information of terminal determines current location, and current travel is determined from map according to current location.
S2200, the average fuel consumption that the travel is calculated according to the vehicle oil consumption and preset oil consumption computation model
Amount；
After getting the oil consumption of vehicle, oil consumption is input in oil consumption computation model.According to practical application field
The difference of scape, oil consumption computation model can be adjusted according to the actual situation.In some embodiments, the oil consumption of vehicle is
Per 100 km oil consumption, oil consumption computation model is by calculating being averaged for every hundred axiom oil consumption of vehicle during travelling target road
Value, then by preset database or by the length of network attached server acquisition target road, pass through road stroke
In per 100 km oil consumption average value and the length gauge of road calculate the fuel consumption values that need by the road, as travel
Average fuel consumption amount.
S2300, the average fuel consumption amount of the travel is uploaded in the road information library；
Information of vehicles, Weather information and road information are obtained, the average fuel consumption amount for calculating resulting travel is uploaded
In corresponding column into road information library, for example, A model vehicle, which travels the average fuel consumption amount in X road in the rainy day, passes through meter
Calculation is derived as 1 liter, then is uploaded to X road, and corresponding vehicle is A, and weather is in the oil consumption information bar of rainy day.If described corresponding
Data with existing in column then averages the data newly uploaded with data with existing, covers legacy data with averaging of income value.
By the road information in above method real-time update and supplement road information bank, can be expanded by user itself
Road information library, effective perfect information library, by the data being continuously updated in coverage information library, so that the oil consumption of road is more
It is objective to add, and consumption minimization navigation is closer to really.
As shown in fig. 6, step S1300 specifically include the following steps:
S1340, the navigational parameter is obtained, wherein the navigational parameter includes that the real-time of road passes through the time；
The real-time of road in server is got by connection network and passes through the time, can be on other people by the time in real time
Its passed is by time of place road occupation, and server is by the statistics of mass data, in the request for receiving data acquisition
When, information is fed back into request end.
S1350, the connection start-stop point is determined at least according to the start-stop point information and preset route planning model
One route；
After getting start-stop point information, one or more route of connection start-stop point is generated according to start-stop point information,
In some embodiments, generate route method can first according to start-stop point generate connection start-stop point straight line, and according to
Linear distance is calculated, searches road in default range, the route of connection start-stop point is generated with this, is also possible to according to start-stop
Point information, generates one or more route in preset distance or stroke range.Route planning model can be existing
Navigation model is also possible to the model of sets itself according to the actual situation.
S1360, the running time for calculating at least one route, wherein the running time is wrapped by the route
All roads contained pass through the sum of time in real time；
After getting one or more route, all road names that each route is passed through are obtained, are calculated each
The running time by the sum of time, as the route for all roads that route is included.Obtain described one or more
The running time of route, the running time are then the theoretical time total amounts of the route of passing by.For example, according to start-stop point acquisition of information
To route 1 and route 2, route 1 includes tri- roads of A, B and C, and route 2 includes the two road D and C, and current each road is logical
Spending the time is respectively road A:20 minutes；Road B:15 minutes；Road C:10 minutes；Road D:30 minutes.It is possible thereby to count
It calculates, the running time of route 1 is 20+15+10=45 minutes, and the running time of route two is 30+10=40 minutes.
S1370, the least route of running time described at least one route is defined as the navigation routine；
When route has it is a plurality of when, count the running time of all routes, and descending arrangement, definition are carried out according to running time
The least route of running time is the navigation routine；When route only has one, navigation described in the route is directly defined
Route.
By the method for this determining navigation routine, time least navigation routine can be selected for user, avoid congestion
Section, to save the time for user, guidance client arrives at the destination in time.
As shown in fig. 7, further including following step:
S2400, the running condition information for obtaining target vehicle；
In some embodiments, driving states include but is not limited to speed, engine speed, gear, oil consumption, road conditions
Deng.The acquisition methods of running condition information can pass through the number of the equipment such as the monitoring module of acquisition vehicle itself or intelligent terminal
It is believed that breath.
S2500, according to the running condition information and preset driving behavior judgment models, judge driver with the presence or absence of not
Reasonable driving behavior；
The driving behavior judgment models are the models of pre-set standard value and judgment criteria, for example, preset mark
In standard, the relationship of speed and gear are as follows: one grade 0-20 kilometers/hour, 20-40 kilometers/hour of second gear, three 40-60 kilometers of gears/small
When, 60-75 kilometers/hour of fourth gear, five gears 75 kilometers/hour or more, alternatively, being used when running section is uphill way
Gear should be in 1 gear or 2 gears.The running condition information that will acquire is input in driving behavior judgment models, according to default
Standard judged that and export judging result, for example, when user's current vehicle speed is 50 kilometers/hour, and gear is second gear
When, it is judged as high speed low gear.
S2600, if it exists unreasonable driving behavior are that driver provides correctly driving and builds according to preset suggestion rule
View；
In some embodiments, it is proposed that rule is carried out according to the driving behavior of the information and judgment models of acquisition input
The rule of correct driving behavior is recommended in matching, for example, when driving behavior is judged as high speed low gear, according to current speed
(such as 50km/ hours) obtains suggestion (such as switch to 3 gears or reduce running speed), and generates prompt information (such as " current state
For high speed low gear, 3 gears please be switch to or reduce running speed ").The reminding method of prompt information can be by display equipment into
The display for sheet of composing a piece of writing, the corresponding image of setting is shown or the modes such as voice prompting, but not limited to this.
By the above method, the bad steering behavior of driver can be found in time, and proposes corresponding suggestion, helped
Driver improves driving habit.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of automobile navigation apparatus.Referring specifically to Fig. 8,
Fig. 8 is the basic structure block diagram of this implementation automobile navigation apparatus.
As shown in figure 8, automobile navigation apparatus, comprising: obtain module 2100, processing module 2200 and execution module 2300.
Wherein, module is obtained for obtaining the identity information and navigation information that target user is played the part of in this navigation, wherein described
Navigation information includes the start-stop point information of navigation；First processing module is used for according to the identity information, the start-stop point information
The contextual model of this navigation is determined with preset scene judgment models；Second processing module is used in preset navigation pattern base
Middle lookup has the navigation mode of mapping relations with the contextual model；Execution module is used for according to the navigation mode and described
Start-stop point information calculates navigation routine.
By obtaining the identity information of user and the start-stop point information of this navigation, according to different identity informations and start-stop
Point determines the scene of this navigation, matches different navigation modes for different scenes, solves in existing air navigation aid not
The problem of by actual conditions how all for user with same schema creation navigation routine, using corresponding under different scenes
Navigation mode, and according to navigation mode and start-stop point information calculate navigation routine, can be generated according to the actual conditions of user
Such as the navigation routines such as consumption minimization or minimum time, meet the different navigation demand of client in varied situations.
In some embodiments, automobile navigation apparatus further include: the first input submodule, the first acquisition submodule,
One implementation sub-module.Wherein the first input submodule is used for the identity information and the start-stop point information input to the feelings
In scape judgment models, wherein the scene judgment models are to train to convergence state for the feelings according to data to data characterization
The neural network model that scape information is classified；First acquisition submodule is used to obtain the classification of the scene judgment models output
As a result；The context data that first implementation sub-module is used to define the classification results characterization is the contextual model.
In some embodiments, automobile navigation apparatus further include: the second acquisition submodule, the first processing submodule, the
Two implementation sub-modules.Wherein, the second acquisition submodule is for obtaining the navigational parameter, wherein the navigational parameter includes vehicle
Information and weather conditions information；First processing submodule is used to search and the information of vehicles in preset road information library
The road information to match with the weather conditions information, wherein the road information includes the average fuel consumption amount of road；Second
Implementation sub-module is used to determine navigation routine according to the average fuel consumption amount and the start-stop point information.
In some embodiments, automobile navigation apparatus further include: second processing submodule, third processing submodule, the
Three implementation sub-modules.Wherein, second processing submodule is used for true according to the start-stop point information and preset route planning model
Surely at least one route of the start-stop point is connected；Third processing submodule is used to calculate the oil consumption of at least one route
Total value, wherein the sum of the average fuel consumption amount of all roads that the oil consumption total value includes by the route；Third executes submodule
Block is the navigation routine for defining the least route of oil consumption total value described at least one route.
In some embodiments, automobile navigation apparatus further include: third acquisition submodule, fourth process submodule,
Four implementation sub-modules.Wherein, third acquisition submodule is used to obtain the traveling record of target vehicle, wherein traveling, which records, includes
Travel and vehicle oil consumption；Fourth process submodule is used to be calculated according to the vehicle oil consumption and preset oil consumption computation model
The average fuel consumption amount of the travel；4th implementation sub-module is used to the average fuel consumption amount of the travel being uploaded to institute
It states in road information library.
In some embodiments, automobile navigation apparatus further include: the 4th acquisition submodule, the 5th processing submodule, the
Six processing submodules, the 5th implementation sub-module.Wherein, the 4th acquisition submodule is for obtaining the navigational parameter, wherein described
Navigational parameter includes that the real-time of road passes through the time；5th processing submodule is used for according to the start-stop point information and preset road
Line plan model determines at least one route for connecting the start-stop point；6th processing submodule is for calculating described at least one
The running time of route, wherein all roads that the running time includes by the route in real time by the time it
With；5th implementation sub-module is the navigation road for defining the least route of running time described at least one route
Line.
In some embodiments, automobile navigation apparatus further include: the 5th acquisition submodule, the 7th processing submodule, the
Six implementation sub-modules.Wherein, the 5th acquisition submodule is used to obtain the running condition information of target vehicle；7th processing submodule
For judging driver with the presence or absence of unreasonable driving according to the running condition information and preset driving behavior judgment models
Behavior；6th implementation sub-module provides just for driving behavior unreasonable if it exists, according to preset suggestion rule for driver
True drive advice.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of computer equipment.Referring specifically to Fig. 9, Fig. 9
For the present embodiment computer equipment basic structure block diagram.
As shown in figure 9, the schematic diagram of internal structure of computer equipment.As shown in figure 9, the computer equipment includes passing through to be
Processor, non-volatile memory medium, memory and the network interface of bus of uniting connection.Wherein, the computer equipment is non-easy
The property lost storage medium is stored with operating system, database and computer-readable instruction, can be stored with control information sequence in database
Column, when which is executed by processor, may make processor to realize a kind of automobile navigation method.The computer is set
Standby processor supports the operation of entire computer equipment for providing calculating and control ability.The storage of the computer equipment
It can be stored with computer-readable instruction in device, when which is executed by processor, processor may make to execute one
Kind automobile navigation method.The network interface of the computer equipment is used for and terminal connection communication.Those skilled in the art can manage
It solves, structure shown in figure, only the block diagram of part-structure relevant to application scheme, is not constituted to application scheme
The restriction for the computer equipment being applied thereon, specific computer equipment may include more more or fewer than as shown in the figure
Component perhaps combines certain components or with different component layouts.
Processor obtains module 2100, processing module 2200 and execution module for executing in present embodiment in Fig. 8
2300 concrete function, program code and Various types of data needed for memory is stored with the above-mentioned module of execution.Network interface is used for
To the data transmission between user terminal or server.Memory in present embodiment, which is stored in automobile navigation apparatus, to be executed
Program code needed for all submodules and data, server is capable of the program code of invoking server and data execute all sons
The function of module.
The present invention also provides a kind of storage mediums for being stored with computer-readable instruction, and the computer-readable instruction is by one
When a or multiple processors execute, so that one or more processors execute automobile navigation method described in any of the above-described embodiment
Step.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between
In matter, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium above-mentioned can be
The non-volatile memory mediums such as magnetic disk, CD, read-only memory (Read-OnlyMemory, ROM) or random storage note
Recall body (RandomAccessMemory, RAM) etc..
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of automobile navigation method, which comprises the following steps:
Obtain the target user identity information and navigation information played the part of in this navigation, wherein the navigation information includes
The start-stop point information of navigation；
The scene mould of this navigation is determined according to the identity information, the start-stop point information and preset scene judgment models
Formula；
The navigation mode that there are mapping relations with the contextual model is searched in preset navigation pattern base；
Navigation routine is calculated according to the navigation mode and the start-stop point information.
2. automobile navigation method as described in claim 1, which is characterized in that described according to the identity information, the start-stop
Point information and preset scene judgment models determine the step of contextual model of this navigation, comprising the following steps:
By the identity information and the start-stop point information input into the scene judgment models, wherein the scene judgement
Model is the neural network model that training is used to be classified according to context information of the data to data characterization to convergence state；
Obtain the classification results of the scene judgment models output；
The context data for defining the classification results characterization is the contextual model.
3. automobile navigation method as described in claim 1, which is characterized in that the navigation mode includes navigational parameter, described
The step of calculating navigation routine according to the navigation mode and the start-stop point information, comprising the following steps:
Obtain the navigational parameter, wherein the navigational parameter includes information of vehicles and weather conditions information；
The road information to match with the information of vehicles and the weather conditions information is searched in preset road information library,
Wherein, the road information includes the average fuel consumption amount of road；
Navigation routine is determined according to the average fuel consumption amount and the start-stop point information.
4. automobile navigation method as claimed in claim 3, which is characterized in that described according to the average fuel consumption amount and described
The step of stop information determines navigation routine, comprising the following steps:
At least one route for connecting the start-stop point is determined according to the start-stop point information and preset route planning model；
Calculate the oil consumption total value of at least one route, wherein all roads that the oil consumption total value includes by the route
The sum of the average fuel consumption amount on road；
Defining the least route of oil consumption total value described at least one route is the navigation routine.
5. automobile navigation method as described in claim 1, which is characterized in that include the following steps:
Obtain the traveling record of target vehicle, wherein traveling record includes travel and vehicle oil consumption；
The average fuel consumption amount of the travel is calculated according to the vehicle oil consumption and preset oil consumption computation model；
The average fuel consumption amount of the travel is uploaded in the road information library.
6. automobile navigation method as described in claim 1, which is characterized in that the navigation mode includes navigational parameter, described
The step of calculating navigation routine according to the navigation mode and the start-stop point information, includes the following steps:
Obtain the navigational parameter, wherein the navigational parameter includes that the real-time of road passes through the time；
At least one route for connecting the start-stop point is determined according to the start-stop point information and preset route planning model；
Calculate the running time of at least one route, wherein all roads that the running time includes by the route
Road passes through the sum of time in real time；
Defining the least route of running time described at least one route is the navigation routine.
7. automobile navigation method as described in claim 1, which is characterized in that include the following steps:
Obtain the running condition information of target vehicle；
According to the running condition information and preset driving behavior judgment models, judge driver with the presence or absence of unreasonable driving
Behavior；
Unreasonable driving behavior if it exists provides correct drive advice according to preset suggestion rule for driver.
8. a kind of automobile navigation apparatus characterized by comprising
Obtain module, the identity information and navigation information played the part of in this navigation for obtaining target user, wherein described
Navigation information includes the start-stop point information of navigation；
First processing module, for being determined according to the identity information, the start-stop point information and preset scene judgment models
The contextual model of this navigation；
Second processing module, for searching the navigation that there are mapping relations with the contextual model in preset navigation pattern base
Mode；
Execution module, for calculating navigation routine according to the navigation mode and the start-stop point information.
9. a kind of computer equipment characterized by comprising
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to executing automobile navigation method described in the claims 1-7 any one.
10. a kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of mobile terminal
When device executes, so that mobile terminal is able to carry out a kind of automobile navigation method, the method includes the claims 1-7 is any
Automobile navigation method described in one.
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