CN109141456A - Navigation path planning method and server - Google Patents
Navigation path planning method and server Download PDFInfo
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- CN109141456A CN109141456A CN201810956861.5A CN201810956861A CN109141456A CN 109141456 A CN109141456 A CN 109141456A CN 201810956861 A CN201810956861 A CN 201810956861A CN 109141456 A CN109141456 A CN 109141456A
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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
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
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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
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Abstract
The present invention provides a kind of navigation path planning method and server, the navigation path planning method is applied to server, and the navigation path planning method includes: the navigation requests information for receiving the first vehicle and sending；A plurality of guidance path is obtained according to the navigation requests information；Obtain fuel consumption values corresponding with first vehicle in every guidance path；The smallest first guidance path of fuel consumption values in a plurality of guidance path is sent to first vehicle, so that the navigation client of first vehicle shows corresponding first guidance path.Navigation path planning method and server provided by the invention can show most energy-efficient guidance path on navigation client, and user is helped to drive vehicle more energy savingly, save user's Trip Costs, promote user's driving experience.
Description
Technical field
The present invention relates to field of navigation technology more particularly to a kind of navigation path planning methods and server.
Background technique
Existing navigation system is only to obtain a plurality of navigation of driving between departure place and destination in scene of driving
Route, and be only the corresponding congested link of every bar navigation route and prediction are needed to spend from origin to destination when
Between, user is merely capable of through corresponding congested link or spends the corresponding navigation routine of selection of time.
However vehicle, in different road conditions, the oil consumption of speed downward driving is different, navigation in the prior art
System can not recognize that vehicle in every corresponding oil consumption of bar navigation route, causes user not know due to user on navigation routine
Which bar navigation route road selects and what kind of speed downward driving most to save oil mass in, causes to drive at high cost, poor user experience.
In view of the above-mentioned problems, those skilled in the art are seeking redress always.
Summary of the invention
In view of this, the present invention provides a kind of navigation path planning method and server, it can be on navigation client
It shows most energy-efficient guidance path, user is helped to drive vehicle more energy savingly, save user's Trip Costs, promote user and drive
Experience.
The present invention provides a kind of navigation path planning method, and the navigation path planning method is applied to server, described
Navigation path planning method includes: the navigation requests information for receiving the first vehicle and sending；It is obtained according to the navigation requests information
A plurality of guidance path；Obtain fuel consumption values corresponding with first vehicle in every guidance path；By a plurality of navigation
The smallest first guidance path of fuel consumption values is sent to first vehicle in path, so that the navigation client of first vehicle
End shows corresponding first guidance path.
Specifically, described that the smallest first guidance path of fuel consumption values in a plurality of guidance path is sent to described first
Vehicle, so that after the step of navigation client of first vehicle shows corresponding first guidance path further include: obtain
Take fuel consumption information corresponding with first vehicle in first guidance path；The fuel consumption information is sent to described first
Vehicle, so that the navigation client of first vehicle shows the fuel consumption information on first guidance path.
Specifically, the navigation requests information includes departure place corresponding with first vehicle, destination and the first mark
Know symbol.
Specifically, before in every guidance path of the acquisition the step of fuel consumption values corresponding with first vehicle
Further include: every bar navigation path between the departure place and the destination is divided into several segments road segment segment；According to described
First identifier is accorded with from acquisition oil consumption corresponding with every section of road segment segment in every bar navigation path in history oil consumption model list
Model；Processing, which is weighted, according to the corresponding oil consumption model of every section of road segment segment obtains every section of road with every bar navigation path
The corresponding oil consumption of section.
Specifically, described to be obtained and every bar navigation road from history oil consumption model list according to first identifier symbol
Before the step of every section of road segment segment in diameter corresponding oil consumption model further include: obtain what first vehicle travelled every time in real time
Situation of remote corresponding to each road segment segment, traffic information, weather conditions and period；By first vehicle in every section of road
Corresponding fuel consumption information, situation of remote, traffic information, weather conditions and the period stores to corresponding with first vehicle
In history oil consumption model list.
Specifically, described to believe the first vehicle fuel consumption information corresponding to every section of road, situation of remote, road conditions
Breath, weather conditions and period store into history oil consumption model list corresponding with first vehicle, later further include: root
According to recorded in the history oil consumption model list accord with corresponding every section of road segment segment with the first identifier corresponding to the date press
Season classifies；According to the weather conditions, situation of remote and traffic information to every section of each period in identical season
The fuel consumption information of road segment segment carries out big data study analysis, to obtain every section of road in Various Seasonal, different time sections, not on the same day
Corresponding oil consumption model under gas, different vehicle conditions and different road conditions.
Specifically, described to be obtained and every bar navigation road from history oil consumption model list according to first identifier symbol
The corresponding oil consumption model of every section of road segment segment in diameter, comprising: obtain in real time the current date of first vehicle, current location and
Current time；Corresponding current season and current slot, and acquisition and institute are obtained with current time according to the current date
State the corresponding current weather condition in current location；According to the current season, current slot and current weather condition from described
Each road segment segment pair in every bar navigation path is obtained between the departure place and the destination in history oil consumption model list
The oil consumption model answered.
Specifically, described processing is weighted according to the corresponding oil consumption model of every section of road segment segment to obtain and every bar navigation
After the step of every section of road segment segment in path corresponding oil consumption further include: obtain every between the departure place and the destination
The traffic information and car flow information of every section of road in bar navigation path；According to the traffic information of every section of road and car flow information meter
Calculation obtains first vehicle in the prediction speed of every section of road；According to the traffic information of every section of road and prediction speed to oil consumption
Model is weighted processing and obtains first vehicle in the oil consumption of every section of road segment segment.
Specifically, the situation of remote includes lambda sensor information of first vehicle in every section of road segment segment, acceleration
Information, engine speed information, distributive value information and vehicle speed information.
The present invention also provides a kind of servers, comprising: memory, for storing executable program code；And processor,
For calling the executable program code in the memory, executing step includes such as above-mentioned navigation path planning side
Method.
Specifically, navigation path planning method and server provided in this embodiment, by corresponding using the first vehicle
Oil consumption model plans the guidance path between departure place and destination, by the smallest first navigation of fuel consumption values in a plurality of guidance path
Path is sent to the first vehicle, so that the navigation client of the first vehicle shows the first guidance path, so as to navigate
Most energy-efficient guidance path is shown in client, user is helped to drive vehicle more energy savingly, saves user's Trip Costs, is promoted
User's driving experience.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the invention can
It is clearer and more comprehensible, it is special below to lift preferred embodiment, and cooperate attached drawing, detailed description are as follows.
Detailed description of the invention
Fig. 1 is the flow diagram of the navigation path planning method of first embodiment of the invention；
Fig. 2 is the flow diagram of the navigation path planning method of second embodiment of the invention；
Fig. 3 is the flow diagram of the navigation path planning method of third embodiment of the invention；
Fig. 4 is the flow diagram of the navigation path planning method of fourth embodiment of the invention；
Fig. 5 is the flow diagram of the navigation path planning method of fifth embodiment of the invention；
Fig. 6 is the structural block diagram of the server of sixth embodiment of the invention.
Specific embodiment
It is of the invention to reach the technical means and efficacy that predetermined goal of the invention is taken further to illustrate, below in conjunction with
Attached drawing and preferred embodiment, the present invention is described in detail as follows.
Fig. 1 is the flow diagram of the navigation path planning method of first embodiment of the invention.The present embodiment is server
The navigation path planning method of execution.As shown in Figure 1, the navigation path planning method of the present embodiment can comprise the following steps that
Step S11: the navigation requests information that the first vehicle is sent is received.
Specifically, in one embodiment, navigation requests information can be, but not limited to include it is corresponding with the first vehicle go out
Hair ground, destination and first identifier symbol.
Specifically, in the present embodiment, navigation client receives the departure place and destination of user's input, the first vehicle
Vehicle device or TBOX are handled departure place, destination and first identifier symbol to obtain navigation requests information, and navigation requests are believed
Breath is sent in server.
Step S12: a plurality of guidance path is obtained according to navigation requests information.
Specifically, in the present embodiment, when server receives navigation requests information, at navigation requests information
Reason obtains departure place corresponding with the first vehicle, destination and first identifier symbol.Specifically, server is according to departure place and purpose
Ground obtains a plurality of guidance path corresponding with the first vehicle.
Step S13: fuel consumption values corresponding with the first vehicle in every bar navigation path are obtained.
Specifically, in the present embodiment, server is when getting a plurality of guidance path corresponding with the first vehicle, according to
First identifier symbol obtains fuel consumption values corresponding with each bar navigation path.Specifically, different vehicles of first vehicle in identical section
Fuel consumption values under condition, different periods, different road conditions and different weather situation are not identical, server by the first vehicle in phase
With the study of the different vehicle conditions in section, different periods, different road conditions and different weather situation downward driving data obtain and first
The oil consumption model of the corresponding every section of road segment segment of vehicle, with the first vehicle next time pass through corresponding section when can be according to corresponding
Oil consumption model is weighted processing and obtains accurately oil consumption, so as to plan most energy saving and environmentally friendly path for the first vehicle.
Step S14: being sent to the first vehicle for the smallest first guidance path of fuel consumption values in a plurality of guidance path, so that
The navigation client of first vehicle shows corresponding first guidance path.
Specifically, in the present embodiment, the fuel consumption values in a plurality of guidance path are compared server, a plurality of to obtain
The smallest first guidance path of fuel consumption values in guidance path, and the first guidance path is sent to the first vehicle, first
The first guidance path is shown on the navigation client of vehicle, further, server can also be by the section in the first guidance path
It saves energy information and is sent to the first vehicle, so that the navigation client of the first vehicle can also be popped up when showing guidance path
Show that the first vehicle specifically can also be in the first guidance path by the total oil consumption and energy-saving mark of the first guidance path
Recommend the running speed of every section of road, so that the vehicle that user drives is more energy saving, and vehicle is protected in driving procedure
Most preferably air-fuel ratio is held, realizes that user drives vehicle more environmentally friendlyly.
Referring to FIG. 2, Fig. 2 is the flow diagram of the navigation path planning method of second embodiment of the invention.As Fig. 1 with
Shown in Fig. 2, navigation path planning method provided in this embodiment, by the smallest first navigation of fuel consumption values in a plurality of guidance path road
Diameter is sent to the first vehicle, so that after the step of navigation client of the first vehicle shows corresponding first guidance path also
The following steps are included:
Step S21: fuel consumption information corresponding with the first vehicle in the first guidance path is obtained.
Specifically, in the present embodiment, server according to first identifier accord with obtain the first guidance path in the first vehicle
Corresponding fuel consumption information.Specifically, fuel consumption information can be, but not limited to include total oil of first vehicle by the first guidance path
Consumption saves oil mass and environmental protection information etc..
Step S22: being sent to the first vehicle for fuel consumption information, so that the navigation client of the first vehicle is in the first navigation
Fuel consumption information is shown on path
Specifically, in the present embodiment, server sends out fuel consumption information corresponding with the first vehicle in the first guidance path
It send to the first vehicle.When the vehicle device or TBOX of first vehicle receive fuel consumption information corresponding with the first guidance path, showing
Pop-up display fuel consumption information in the user interface of screen, for example, the first vehicle is by total oil needed for the road of the first guidance path
Consumption, the oil mass of opposite other routes saving and environmental protection information etc., do not go the same way so that user accurately recognizes
The oil consumption of line can not only help user to save oil mass to help user to select most energy-efficient guidance path, additionally it is possible to realize and use
Family environmental protection drives vehicle.
Referring to FIG. 3, Fig. 3 is the flow diagram of the navigation path planning method of third embodiment of the invention.As Fig. 1 with
Shown in Fig. 3, navigation path planning method provided in this embodiment obtains oil consumption corresponding with the first vehicle in every bar navigation path
It is further comprising the steps of before the step of value:
Step S31: every bar navigation path between departure place and destination is divided into several segments road segment segment.
Specifically, in the present embodiment, server obtains corresponding guidance path according to routing instructions, and according to pre-
If corresponding guidance path is divided into several segments road by length.Specifically, in one embodiment, preset length can with but not
It is limited to be set as 500 meters, such as in other embodiments, preset length may be arranged as longer than 500 meters or shorter
Distance, such as preset length are 1 kilometer or 300 meters etc..Specifically, in another embodiment, server can also basis
Not people having a common goal's grade, different road surface, real-time traffic states data, the traffic lights information of road, different weather situation and
If guidance path is split to obtain dry end road by different time sections etc., to enable to the first vehicle in every section of road segment segment
Corresponding oil consumption model is consistent when driving, and then can divide in the accurate of oil consumption of corresponding guidance path the first vehicle
Analysis.
Step S32: it is accorded with according to first identifier from acquisition in history oil consumption model list and every section in every bar navigation path
The corresponding oil consumption model of road segment segment.
Specifically, in the present embodiment, server is accorded with from history oil consumption model list according to first identifier and being searched, with
Obtain oil consumption model corresponding with every section of road segment segment in every bar navigation path.Specifically, history oil consumption model list can with but
Server is not limited to according to the different vehicle of every section of road segment segment in different time sections, different road conditions, different weather and different vehicles
Corresponding practical oil consumption data carry out accumulative study and analysis under condition information, corresponding with each vehicle to obtain every section of road segment segment
The corresponding relationship list of oil consumption model, thus when the first vehicle will pass through respective stretch, it can be according to the first vehicle at this
The corresponding oil consumption model in section carries out budget in advance to the oil consumption of the first vehicle, and then can cook up for the first vehicle and most save
The guidance path of energy saves the oil mass that user drives vehicle, realizes that environmental protection is gone on a journey.
Step S33: processing is weighted according to the corresponding oil consumption model of every section of road segment segment and is obtained and every bar navigation path
The corresponding oil consumption of every section of road segment segment.
Specifically, in the present embodiment, server is weighted according to the corresponding oil consumption model of every section of road segment segment and handles
To oil consumption corresponding with every section of road segment segment in every bar navigation path.Specifically, after every bar navigation path is split by server,
Obtain and every section of road segment segment in oil consumption model corresponding with first identifier symbol, and when according to the first vehicle by every end road segment segment
Period, weather conditions, situation of remote, traffic information and length information are handled to obtain weight corresponding with every section of road segment segment
Coefficient.Server is weighted processing to corresponding oil consumption model according to the weighting coefficient of every section of road segment segment, to obtain the first vehicle
Pass through the accurately oil consumption of every section of road segment segment.
Specifically, in one embodiment, server is by the accurately oily of all road segment segments in every bar navigation path
Consumption carries out accumulation process, passes through total fuel consumption values required for every bar navigation path to obtain the first vehicle.Further, server
Compare one by one according to total fuel consumption values in every bar navigation path and obtains the smallest first guidance path of oil consumption.
Referring to FIG. 4, Fig. 4 is the flow diagram of the navigation path planning method of fourth embodiment of the invention.As Fig. 3 with
Shown in Fig. 4, navigation path planning method provided in this embodiment is obtained from history oil consumption model list according to first identifier symbol
It is further comprising the steps of before the step of oil consumption model corresponding with every section of road segment segment in every bar navigation path:
Step S41: the first vehicle driving situation of remote, traffic information, day corresponding to each road terminal is obtained in real time
Vaporous condition and period.
Specifically, in the present embodiment, reality of the vehicle device or TBOX in the first vehicle by the first vehicle on each road
When situation of remote send server, server by the real-time vehicle condition information received correspondence store to position corresponding with guidance path
It sets.Server can also obtain the weather feelings of current location of first vehicle on guidance path by weather forecast service
Condition, and will be on the corresponding corresponding position being stored on guidance path of weather condition.Server can also be obtained by transport services
The traffic information of each road segment segment of the guidance path passed through to the first vehicle.Server can also be by the first vehicle by navigating
The time of each road segment segment on path is recorded, to obtain period of first vehicle Jing Guo each road segment segment, and will be with
The each road segment segment corresponding period stores into corresponding guidance path.Specifically, in the present embodiment, the period can with but
It is not limited to divide the daily time, such as 7 points to 10 points of morning, as a period, 10 points to 17 points as the time
Section, 17 points to 21 points as a period, 22 points to second day of 6:00 AM is as period etc., and but it is not limited to this.
Step S42: the first vehicle fuel consumption information corresponding to every section of road, situation of remote, traffic information, day is vaporous
Condition and period store into history oil consumption model list corresponding with the first vehicle.
Specifically, in the present embodiment, server is by the first vehicle fuel consumption information corresponding to each road segment segment, vehicle condition
Information, traffic information, weather conditions and period store into history oil consumption model list corresponding with the first vehicle.Specifically
Ground, server can be according to the fuel consumption information of each road segment segment, situation of remote, traffic information, weather conditions, period and seasons
The first vehicle is constructed in the oil consumption model of this section of road, and then when next first vehicle will pass through this section of road, it can be pre-
The first vehicle is first estimated in the oil consumption range etc. of this section of road.Specifically, in the present embodiment, server will will record
The data such as fuel consumption information, situation of remote, traffic information, weather conditions and the time that one vehicle drives in each road segment segment every time letter
Breath, and big data study is carried out using these data informations, it is corresponding with the first vehicle each can obtain more accurately
The oil consumption model of road segment segment, and then in the first vehicle driving procedure next time, the first vehicle can be accurately calculated in advance to exist
Total fuel consumption values on each bar navigation path.
Specifically, in one embodiment, navigation path planning method provided in this embodiment, by the first vehicle at every section
Fuel consumption information corresponding to road, situation of remote, traffic information, weather conditions and period store to corresponding with the first vehicle
It is further comprising the steps of after step in history oil consumption model list:
Step S43: right according to every section of road segment segment corresponding with the first identifier symbol institute recorded in history oil consumption model list
The date answered classifies by season.
Specifically, in the present embodiment, server is recorded according in history oil consumption model list corresponding with the first vehicle
Accord with corresponding every section of road segment segment with first identifier corresponding to the date classify by season, such as server can will be annual
Date divided according to spring, summer, autumn and winter, by the oil consumption of the date in identical season corresponding each road segment segment
Information etc. is sorted out together, and then can Fuel consumption analysis of first vehicle in identical road segment segment to Various Seasonal.
Step S44: according to weather conditions, situation of remote and traffic information to every section of road of each period in identical season
The fuel consumption information in section carries out big data study analysis, to obtain every section of road in Various Seasonal, different time sections, not on the same day
Corresponding oil consumption model under gas, different vehicle conditions and different road conditions.
Specifically, in the present embodiment, server is according to the weather conditions corresponding to each road segment segment of the first vehicle, vehicle
Condition information and traffic information etc. are for statistical analysis to the fuel consumption information of identical mid-season each period, to obtain each road
Section oil consumption model corresponding under Various Seasonal, different time sections, different weather, different speed sections and different road conditions.Into
And there are same link grade and identical road conditions when the first vehicle being made to again pass by identical road or in different road segment segments
When, server can obtain corresponding road according to current weather, the corresponding road conditions of the road, corresponding period and situation of remote
The accurately oil consumption model of section, and then the route of the energy can be more saved for the planning of the first vehicle.
Specifically, in one embodiment, server by the running data information of the vehicle of a large amount of different user into
The study of row big data and analysis, to obtain the different vehicle of each road segment segment in different vehicle conditions, different road conditions, different weather shape
Oil consumption model corresponding to condition, Various Seasonal and different time sections.
Referring to FIG. 5, Fig. 5 is the flow diagram of the navigation path planning method of fifth embodiment of the invention.Extremely such as Fig. 4
Shown in Fig. 5, navigation path planning method provided in this embodiment is obtained from history oil consumption model list according to first identifier symbol
The step of oil consumption model corresponding with every section of road segment segment in every bar navigation path specifically includes the following steps:
Step S51: current date, current location and the current time of the first vehicle are obtained in real time.
Specifically, in the present embodiment, server is in vehicle device or the TBOX transmission for receiving the first vehicle comprising setting out
After the navigation requests information of ground and destination, current date, current location and the current time of the first vehicle are obtained in real time.Tool
Body, current location can be, but not limited to realize by navigation client and obtain to the positioning service of the first vehicle, specifically, the
The current location of first vehicle is sent to server by the navigation client of one vehicle in real time.Current date and current time can be with
But it is not limited by Time Service to obtain.
Step S52: obtaining corresponding current season and current slot according to current date and current time, and obtain with
The corresponding current weather condition in current location.
Specifically, in the present embodiment, server is searched from history oil consumption model list according to current date and obtains phase
The data information of all roads in the current season and current slot answered, and obtained by weather service corresponding with current location
Current weather condition.
Step S53: it is obtained from history oil consumption model list according to current season, current slot and current weather condition
The corresponding oil consumption model of each road segment segment in every bar navigation path between departure place and destination.
Specifically, in the present embodiment, server is according to current season, current slot and current weather condition from history
Oil consumption model corresponding with road segment segments all in bar navigation every between departure place and destination path is obtained in oil consumption model list.
Further, navigation requests information also includes corresponding with the first vehicle first identifier symbol, server according to first identifier accord with from
The accurately oil consumption model with the first vehicle in each road segment segment is obtained in history oil consumption model list, so as in departure place
The most energy-efficient navigation routine of the first vehicle is calculated between destination.
Specifically, in one embodiment, navigation path planning method provided in this embodiment, according to every section of road segment segment pair
The oil consumption model answered is weighted after the step of processing obtains oil consumption corresponding with every section of road segment segment in every bar navigation path also
The following steps are included:
Step S54: obtain every section of road in every bar navigation path between departure place and destination traffic information and
Car flow information.
Specifically, in the present embodiment, server is obtained in advance in every bar navigation path between departure place and destination
Each road segment segment traffic information and car flow information, such as server can be, but not limited to take by traffic according to current time
Business obtains the car flow information of each road segment segment in every bar navigation path.Wherein, traffic information can be, but not limited to include road
Grade, road grade, turn curvature and flatness of road etc..
Step S55: the first vehicle is calculated in every section of road according to the traffic information of every section of road and car flow information
Predict speed.
Specifically, in the present embodiment, server can be, but not limited to the traffic information and wagon flow according to each road segment segment
The prediction speed in each road segment segment of the first vehicle is calculated in information.Specifically, prediction speed is the first vehicle in the section
Best speed of operation in road, so that the first vehicle can be unobstructed and energy savingly by corresponding in the case where predicting speed
Road segment segment.
Step S56: processing is weighted to oil consumption model according to the traffic information of every section of road and prediction speed and obtains the
Oil consumption of one vehicle in every section of road segment segment.
Specifically, in the present embodiment, server is according to the traffic information of each road segment segment, prediction speed and oil consumption range
The first vehicle is obtained in the oil consumption model of each road segment segment.Such as server can be believed according to the newest road conditions of corresponding road section
Breath to oil consumption model be weighted processing with filter out with the current traffic information of the road segment segment, situation of remote, weather conditions and
Then the accurately oil consumption model of time segment information is added from accurately oil consumption model according to the optimal air-fuel ratio of vehicle again
Power handles to obtain the accurately oil consumption corresponding to every section of road segment segment of the first vehicle.
Specifically, in one embodiment, situation of remote can be, but not limited to include the first vehicle in every section of road segment segment
Lambda sensor information, acceleration information, engine speed information, distributive value information and vehicle speed information.Specifically, the first vehicle can
With but be limited by lambda sensor information of the electronic control unit acquisition vehicle in every section of road segment segment, acceleration information, engine
Rotary speed information, distributive value information and vehicle speed information, and according to the lambda sensor information of every section of road segment segment, acceleration information, start
Machine rotary speed information, distributive value information and vehicle speed information are handled to obtain corresponding air-fuel ratio, to judge whether vehicle is in most
Good driving status, to reduce the discharge of the exhaust pollutant of vehicle.Specifically, electronic control unit is by vehicle in every section of road segment segment
Lambda sensor information, acceleration information, engine speed information, distributive value information and vehicle speed information, and according to every section of road
The situation of remote of section is transmitted to vehicle device or TBOX with corresponding air-fuel ratio, and vehicle device or TBOX are by the situation of remote received and accordingly
Air-fuel ratio be sent to server.
Referring to FIG. 6, Fig. 6 is the structural block diagram of the server 100 of sixth embodiment of the invention.As shown in fig. 6, this implementation
The server 100 that example provides includes memory for executing navigation path planning method, server 100 provided in this embodiment
110 with processor 120.
Specifically, in the present embodiment, memory 110, for storing executable program code；Processor 120, for adjusting
With the executable program code in memory 110, to realize navigation path planning the step of includes: to receive the first vehicle to send
Navigation requests information；A plurality of guidance path is obtained according to navigation requests information；Obtain in every bar navigation path with the first vehicle pair
The fuel consumption values answered；The smallest first guidance path of fuel consumption values in a plurality of guidance path is sent to the first vehicle, so that first
The navigation client of vehicle shows corresponding first guidance path.
Specifically, in one embodiment, processor 120 execute fuel consumption values in a plurality of guidance path are the smallest by first
Guidance path is sent to the first vehicle, so that the step of navigation client of the first vehicle shows corresponding first guidance path
The step of also executing later includes: to obtain fuel consumption information corresponding with the first vehicle in the first guidance path；Fuel consumption information is sent out
It send to the first vehicle, so that the navigation client of the first vehicle shows fuel consumption information on the first guidance path.
Specifically, in the present embodiment, navigation requests information includes departure place corresponding with the first vehicle, destination and
One identifier.
Specifically, in one embodiment, processor 120 execute corresponding with the first vehicle in the every bar navigation path of acquisition
If fuel consumption values the step of before also execute the step of include: to be divided into every bar navigation path between departure place and destination
Dry section road segment segment；It is accorded with according to first identifier from acquisition in history oil consumption model list and every section of road segment segment in every bar navigation path
Corresponding oil consumption model；According to the corresponding oil consumption model of every section of road segment segment be weighted processing obtain it is every with every bar navigation path
The corresponding oil consumption of section road segment segment.
Specifically, in one embodiment, processor 120 execute and are accorded with according to first identifier from history oil consumption model list
The step of also executing before the step of middle acquisition oil consumption model corresponding with every section of road segment segment in every bar navigation path includes: reality
When obtain situation of remote, traffic information, weather conditions and the period corresponding to each road segment segment that the first vehicle travels every time；
By the first vehicle fuel consumption information corresponding to every section of road, situation of remote, traffic information, weather conditions and period store to
In history oil consumption model list corresponding with the first vehicle.
Specifically, in one embodiment, processor 120 are executed the oil consumption corresponding to every section of road of the first vehicle
Information, situation of remote, traffic information, weather conditions and period store to history oil consumption model list corresponding with the first vehicle
In, later also execute the step of include: according to the every section of road corresponding with first identifier symbol recorded in history oil consumption model list
Date corresponding to section classifies by season；According to weather conditions, situation of remote and traffic information to every in identical season
The fuel consumption information of every section of road segment segment of a period carries out big data study analysis, with obtain every section of road in Various Seasonal, no
Corresponding oil consumption model under same period, different weather, different vehicle conditions and different road conditions.
Specifically, in one embodiment, processor 120 execute and are accorded with according to first identifier from history oil consumption model list
The step of the step of middle acquisition oil consumption model corresponding with every section of road segment segment in every bar navigation path specifically executes includes: real-time
Obtain current date, current location and the current time of the first vehicle；Corresponding work as is obtained with current time according to current date
Preceding season and current slot, and obtain current weather condition corresponding with current location；According to current season, current slot
And current weather condition is each in every bar navigation path from obtaining between departure place and destination in history oil consumption model list
The corresponding oil consumption model of road segment segment.
Specifically, in one embodiment, processor 120 execute and are carried out according to the corresponding oil consumption model of every section of road segment segment
It includes: to obtain that weighting, which handles the step of also executing after the step of obtaining oil consumption corresponding with every section of road segment segment in every bar navigation path,
Take the traffic information and car flow information of every section of road in every bar navigation path between departure place and destination；According to every section of road
The first vehicle is calculated in the prediction speed of every section of road in the traffic information and car flow information on road；According to the road conditions of every section of road
Information and prediction speed are weighted processing to oil consumption model and obtain the first vehicle in the oil consumption of every section of road segment segment.
Specifically, in the present embodiment, situation of remote include the first vehicle every section of road segment segment lambda sensor information plus
Velocity information, engine speed information, distributive value information and vehicle speed information.
The present embodiment realizes the detailed process of respective function to each functional unit of server 100, refers to above-mentioned Fig. 1 extremely
Particular content described in embodiment illustrated in fig. 5, details are not described herein.
Specifically, navigation path planning method and server provided in this embodiment, by corresponding using the first vehicle
Oil consumption model plans the guidance path between departure place and destination, by the smallest first navigation of fuel consumption values in a plurality of guidance path
Path is sent to the first vehicle, so that the navigation client of the first vehicle shows the first guidance path, so as to navigate
Most energy-efficient guidance path is shown in client, user is helped to drive vehicle more energy savingly, saves user's Trip Costs, is promoted
User's driving experience.
In addition, the embodiment of the present invention also provides a kind of computer readable storage medium, it is executable to be stored with computer
Instruction, above-mentioned computer readable storage medium is, for example, nonvolatile memory such as CD, hard disk or flash memory.It is above-mentioned
Computer executable instructions for allowing computer or similar arithmetic unit to complete in above-mentioned navigation path planning method
Various operations.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For terminal class embodiment, since it is basically similar to the method embodiment, so being described relatively simple, related place ginseng
See the part explanation of embodiment of the method.
Claims (10)
1. a kind of navigation path planning method, which is characterized in that the navigation path planning method is applied to server, described to lead
Bit path planing method includes:
Receive the navigation requests information of the first vehicle transmission；
A plurality of guidance path is obtained according to the navigation requests information；
Obtain fuel consumption values corresponding with first vehicle in every guidance path；
The smallest first guidance path of fuel consumption values in a plurality of guidance path is sent to first vehicle, so that described
The navigation client of first vehicle shows corresponding first guidance path.
2. navigation path planning method as described in claim 1, which is characterized in that it is described will be oily in a plurality of guidance path
The smallest first guidance path of consumption value is sent to first vehicle, so that the navigation client of first vehicle shows phase
After the step of the first guidance path answered further include:
Obtain fuel consumption information corresponding with first vehicle in first guidance path；
The fuel consumption information is sent to first vehicle, so that the navigation client of first vehicle is described first
The fuel consumption information is shown on guidance path.
3. navigation path planning method as described in claim 1, which is characterized in that the navigation requests information include with it is described
The corresponding departure place of first vehicle, destination and first identifier symbol.
4. navigation path planning method as claimed in claim 3, which is characterized in that in every guidance path of the acquisition
Before the step of fuel consumption values corresponding with first vehicle further include:
Every bar navigation path between the departure place and the destination is divided into several segments road segment segment；
It is accorded with according to the first identifier from acquisition in history oil consumption model list and every section of road in every bar navigation path
The corresponding oil consumption model of section；
Processing, which is weighted, according to the corresponding oil consumption model of every section of road segment segment obtains every section of road with every bar navigation path
The corresponding oil consumption of section.
5. navigation path planning method as claimed in claim 4, which is characterized in that it is described according to first identifier symbol from going through
Before the step of obtaining oil consumption model corresponding with every section of road segment segment in every bar navigation path in history oil consumption model list
Further include:
It is vaporous that situation of remote corresponding to each road segment segment that first vehicle travels every time, traffic information, day are obtained in real time
Condition and period；
By the first vehicle fuel consumption information corresponding to every section of road, situation of remote, traffic information, weather conditions and time
Section is stored into history oil consumption model list corresponding with first vehicle.
6. navigation path planning method as claimed in claim 5, which is characterized in that it is described by first vehicle in every section of road
Fuel consumption information corresponding to road, situation of remote, traffic information, weather conditions and period store to corresponding with first vehicle
History oil consumption model list in, later further include:
According to recorded in the history oil consumption model list accord with corresponding every section of road segment segment with the first identifier corresponding to
Date classifies by season；
According to the weather conditions, situation of remote and traffic information to the oil of every section of road segment segment of each period in identical season
It consumes information and carries out big data study analysis, to obtain every section of road in Various Seasonal, different time sections, different weather, different vehicles
Corresponding oil consumption model under condition and different road conditions.
7. navigation path planning method as claimed in claim 6, which is characterized in that it is described according to first identifier symbol from going through
Oil consumption model corresponding with every section of road segment segment in every bar navigation path is obtained in history oil consumption model list, comprising:
Current date, current location and the current time of first vehicle are obtained in real time；
Obtain corresponding current season and current slot according to the current date and current time, and obtain with it is described current
The corresponding current weather condition in position；
It is obtained from the history oil consumption model list according to the current season, current slot and current weather condition and institute
State between departure place and the destination the corresponding oil consumption model of each road segment segment in every bar navigation path.
8. navigation path planning method as claimed in claim 7, which is characterized in that described according to the corresponding oil of every section of road segment segment
Consumption model also wraps after being weighted the step of processing obtains oil consumption corresponding with every section of road segment segment in every bar navigation path
It includes:
Obtain the traffic information and wagon flow of every section of road in every bar navigation path between the departure place and the destination
Information；
First vehicle is calculated in the prediction speed of every section of road according to the traffic information of every section of road and car flow information；
It processing is weighted to oil consumption model obtains first vehicle according to the traffic information of every section of road and prediction speed and exist
The oil consumption of every section of road segment segment.
9. navigation path planning method as claimed in claim 5, which is characterized in that the situation of remote includes first vehicle
In the lambda sensor information of every section of road segment segment, acceleration information, engine speed information, distributive value information and vehicle speed information.
10. a kind of server, which is characterized in that the server includes:
Memory, for storing executable program code；And
Processor, for calling the executable program code in the memory, execute step include as claim 1 to
Navigation path planning method described in any one of 9.
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