CN107832394A - Route recommendation method and device - Google Patents

Route recommendation method and device Download PDF

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Publication number
CN107832394A
CN107832394A CN201711051712.6A CN201711051712A CN107832394A CN 107832394 A CN107832394 A CN 107832394A CN 201711051712 A CN201711051712 A CN 201711051712A CN 107832394 A CN107832394 A CN 107832394A
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China
Prior art keywords
route
determined
module
coincidence factor
programme path
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CN201711051712.6A
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Chinese (zh)
Inventor
卢山
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to CN201711051712.6A priority Critical patent/CN107832394A/en
Publication of CN107832394A publication Critical patent/CN107832394A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

The disclosure is directed to a kind of route recommendation method and device, to realize based on the coincidence factor recommended route with reference route.Methods described includes：Based on start position and route constraints, determine that at least one the first refer to route；Determine current location point；If the distance between current location point and crossing location point are less than pre-determined distance, it is determined that refer to route using crossing location point as at least one the second of starting point；Determine at least one the second with reference to route each with least one the first with reference to each route in route coincidence factor；Based on the coincidence factor, from least one the second with reference in route, it is determined that needing the route walked.The technical scheme of the disclosure can be realized based on the coincidence factor recommended route with reference route.

Description

Route recommendation method and device
Technical field
This disclosure relates to Internet technical field, more particularly to a kind of route recommendation method and device.
Background technology
Wearable device is the wearable equipment in human body.Intelligentized design is carried out to wearable device, is allowed to intelligent, The various demands of user can be met.Such as Intelligent bracelet for children's track and localization or for monitoring user movement shape The sports watch of state.
In correlation technique, Intelligent bracelet or sports watch can implement function such as：Detect motion process in step number, The information such as heart rate, mileage, heat, can also be defeated when mobile phone has incoming call or the message informing by applications such as short message, wechats Go out prompt message, notify user.
The content of the invention
The embodiment of the present disclosure provides a kind of route recommendation method and device, to realize based on the coincidence factor with reference route Recommended route.
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of route recommendation method, including：
Based on start position and route constraints, determine that at least one the first refer to route；
Determine current location point；
If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing position Put at least one the second a little for starting point and refer to route；
Determine described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence factor of line；
Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
The technical scheme provided by this disclosed embodiment can include the following benefits：By start position and route about Beam condition first determines that at least one the first refer to route, the distance between current location point and crossing location point be less than it is default away from From when, then determine to refer to route using crossing location point as at least one the second of starting point, it is then determined that at least one the second references Route each with least one the first with reference to each route in route coincidence factor, in this manner it is possible to according at least one the Two with reference to routes each with least one the first with reference to each route in route coincidence factor, from least one the second reference arms In line, it is determined that needing the route walked.The technical scheme of the disclosure, it is possible to achieve road is recommended based on the coincidence factor with reference route Line.
In one embodiment, it is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing The route to be walked, it may include：
Compare described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence factor of line；
, will be with least one the first reference arm from described at least one the second with reference in route based on comparative result The minimum route of the coincidence factor of each route is defined as the route for needing to walk in line.
The technical scheme of the disclosure, recommended route and the coincidence factor with reference to route can also be reduced.
In one embodiment, described at least one the second with reference to route each with described at least one the first After the coincidence factor of each route in route, it may also include：
If described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor it is identical, it is determined that in default historical time described at least one the second with reference to route each corresponding to walked it is secondary Number；
Based on the number of having walked, described at least one the second are determined with reference to the respective corresponding weight of route；
Based on the weight, from described at least one the second with reference in route, determining the route for needing to walk.
The technical scheme of the disclosure, the number of walking for being also based on default historical time internal reference route recommend road Line.
In one embodiment, it is described to be based on the weight, from described at least one the second with reference in route, it is determined that described Need the route walked, it may include：
Compare described at least one the second with reference to the respective corresponding weight of route；Wherein, at least one the second reference Each self-corresponding weight of route and corresponding number inverse correlation of having walked；
Based on comparative result, from described at least one the second with reference in route, the maximum route of weight is defined as described Need the route walked.
The technical scheme of the disclosure, recommended route and the number repeated with reference to route can also be reduced.
In one embodiment, it is described determine described at least one the second with reference to route each with described at least one the first With reference to the coincidence factor of each route in route, it may include：
Determine described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence distance of line；
The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current time；
From at least one history route, it is determined that at least one history route conduct adjacent with the current time Described at least one the first refer to route.
The technical scheme of the disclosure, it is also based on the history route recommendation route adjacent with current time.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current date；
From at least one history route, it is determined that at least one history route conduct adjacent with the current date Described at least one the first refer to route.
The technical scheme of the disclosure, it is also based on the history route recommendation route adjacent with current date.
In one embodiment, it is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing Before the route to be walked, it may also include：
Determine the wind direction information of current time；
It is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked, bag Include：
Based on the wind direction information and the coincidence factor, it is described from described at least one the second with reference in route, determine institute State the route for needing to walk.
The technical scheme of the disclosure, it is also based on current wind direction information recommended route.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of route recommendation method, including：
Based on start position and route constraints, determine that at least one the first refer to route；
Based on the start position and the route constraints, at least one programme path is determined；
Determine at least one programme path each with described at least one the first with reference to each route in route Coincidence factor；
Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
The technical scheme provided by this disclosed embodiment can include the following benefits：By based on start position and road Line constraints, determine that at least one the first refer to route and at least one programme path, and at least one programme path of determination Each with least one the first with reference to each route in route coincidence factor, in this manner it is possible to based at least one planning road Line each with least one the first with reference to each route in route coincidence factor, from least one programme path, it is determined that extremely A few recommended route.The technical scheme of the disclosure, it is possible to achieve based on the coincidence factor recommended route with reference route.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one Bar recommended route, it may include：
Compare at least one programme path each with described at least one the first with reference to each route in route Coincidence factor；
, will be with described at least one the first with reference in route from least one programme path based on comparative result At least one minimum route of the coincidence factor of each route is defined as at least one recommended route.
The technical scheme of the disclosure, recommended route and the coincidence factor with reference to route can also be reduced.
In one embodiment, at least one programme path each with least one the first reference In route after the coincidence factor of each route, it may also include：
If at least one programme path each with described at least one the first with reference to each route in route weight Conjunction rate is identical, it is determined that the walking number of at least one programme path in default historical time；
Based on the number of having walked, each self-corresponding weight of at least one programme path is determined；
Based on the weight, from least one programme path, at least one recommended route is determined.
The technical scheme of the disclosure, the number of walking for being also based on programme path in default historical time recommend road Line.
In one embodiment, it is described to be based on the weight, from least one programme path, it is determined that it is described at least One recommended route, it may include：
Compare each self-corresponding weight of at least one programme path；Wherein, at least one programme path is each Self-corresponding weight and corresponding number inverse correlation of having walked；
Based on comparative result, from least one programme path, at least one maximum route of weight is defined as At least one recommended route.
The technical scheme of the disclosure, recommended route and the number repeated with reference to route can also be reduced.
In one embodiment, it is described determine at least one programme path each with least one the first reference The coincidence factor of each route in route, it may include：
Determine at least one programme path each with described at least one the first with reference to each route in route Overlap distance；
The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
In one embodiment, it is described to be based on the start position and the route constraints, determine at least one rule Draw route, it may include：
Determine current time；
Determine the traffic information of the current time；
Based on the start position, the route constraints and the traffic information, at least one rule are determined Draw route.
The technical scheme of the disclosure, it is also based on current traffic information recommended route.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current time；
From at least one history route, it is determined that at least one history route conduct adjacent with the current time Described at least one the first refer to route.
The technical scheme of the disclosure, it is also based on the history route recommendation route adjacent with current time.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current date；
From at least one history route, it is determined that at least one history route conduct adjacent with the current date Described at least one the first refer to route.
The technical scheme of the disclosure, it is also based on the history route recommendation route adjacent with current date.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one Before bar recommended route, it may also include：
Determine the wind direction information of current time；
It is described to be based on the coincidence factor, from least one programme path, at least one recommended route is determined, is wrapped Include：
Based on the wind direction information and the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
The technical scheme of the disclosure, it is also based on current wind direction information recommended route.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one After bar recommended route, it may also include：
Receive the input information for selecting route；
Based on the input information, from least one recommended route, it is determined that needing the route walked.
The technical scheme of the disclosure, it is also based on recommended route and the input information for being used to select route of user's input It is determined that needing the route walked, navigated for user.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of route recommendation device, including：
First determining module, it is configured as being based on start position and route constraints, determines at least one the first references Route；
Second determining module, it is configured to determine that current location point；
3rd determining module, be configured as distance between the current location point and crossing location point be less than it is default away from From when, it is determined that referring to route using the crossing location point as at least one the second of starting point；
4th determining module, be configured to determine that described at least one the second with reference to route each with described at least one the The coincidence factor of each route in one reference route；
5th determining module, it is configured as being based on the coincidence factor, from described at least one the second with reference in route, it is determined that Need the route walked.
In one embodiment, the 5th determining module, it may include：
First comparison sub-module, at least one the second are configured as described in comparison with reference to route each with described at least one The coincidence factor of each route in first reference route；
First determination sub-module, it is configured as being based on comparative result, will be with from described at least one the second with reference in route Described at least one the first are defined as the road for needing to walk with reference to the minimum route of the coincidence factor of each route in route Line.
In one embodiment, the 5th determining module, may also include：
Second determination sub-module, be configured as described at least one the second with reference to route each with described at least one the One with reference to each route in route coincidence factor it is identical when, it is determined that at least one the second reference in default historical time Each self-corresponding number of having walked of route；
3rd determination sub-module, it is configured as based on the number of having walked, determines at least one the second reference arm Each self-corresponding weight of line；
4th determination sub-module, it is configured as being based on the weight, from described at least one the second with reference in route, it is determined that The route for needing to walk.
In one embodiment, the 5th determining module, may also include：
Second comparison sub-module, at least one the second are configured as described in comparison with reference to the respective corresponding weight of route；Its In, described at least one the second with reference to route each corresponding weight and corresponding number inverse correlation of having walked；
4th determination sub-module, it is additionally configured to be based on comparative result, route is referred to from described at least one the second In, the maximum route of weight is defined as the route for needing to walk.
In one embodiment, the 4th determining module, it may include：
5th determination sub-module, be configured to determine that described at least one the second with reference to route each with described at least one The coincidence distance of each route in first reference route；
6th determination sub-module, it is configured as referring to route each with described at least one the first based on the coincidence distance Distance, determine the coincidence factor.
In one embodiment, first determining module, it may include：
7th determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that at least one Bar history route；
8th determination sub-module, is configured to determine that current time；
9th determination sub-module, be configured as from least one history route, it is determined that with the current time phase At least one adjacent history route refers to route as described at least one the first.
In one embodiment, first determining module, it may include：
Tenth determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that at least one Bar history route；
11st determination sub-module, is configured to determine that current date；
12nd determination sub-module, be configured as from least one history route, it is determined that with the current date At least one adjacent history route refers to route as described at least one the first.
In one embodiment, described device, may also include：
6th determining module, it is configured to determine that the wind direction information of current time；
5th determining module, be additionally configured to based on the wind direction information and the coincidence factor, it is described from it is described to In few one second reference route, the route for needing to walk is determined.
According to the fourth aspect of the embodiment of the present disclosure, there is provided a kind of route recommendation device, including：
7th determining module, it is configured as being based on start position and route constraints, determines at least one the first references Route；
8th determining module, it is configured as being based on the start position and the route constraints, determines at least one Programme path；
9th determining module, be configured to determine that at least one programme path each with least one the first ginseng Examine the coincidence factor of each route in route；
Tenth determining module, it is configured as being based on the coincidence factor, from least one programme path, it is determined that at least One recommended route.
In one embodiment, the tenth determining module, it may include：
3rd comparison sub-module, at least one programme path described in comparison is configured as each with described at least one the first With reference to the coincidence factor of each route in route；
13rd determination sub-module, it is configured as being based on comparative result, will be with institute from least one programme path State at least one the first and be defined as described at least one with reference at least one minimum route of the coincidence factor of each route in route Bar recommended route.
In one embodiment, the tenth determining module, may also include：
14th determination sub-module, it is configured as at least one programme path each with described at least one the first With reference to each route in route coincidence factor it is identical when, it is determined that at least one programme path in default historical time Walk number；
15th determination sub-module, it is configured as, based on the number of having walked, determining at least one programme path Each self-corresponding weight；
16th determination sub-module, it is configured as being based on the weight, from least one programme path, determines institute State at least one recommended route.
In one embodiment, the tenth determining module, may also include：
4th comparison sub-module, it is configured as each self-corresponding weight of at least one programme path described in comparison；Wherein, Each self-corresponding weight of at least one programme path and corresponding number inverse correlation of having walked；
16th determination sub-module, it is additionally configured to be based on comparative result, from least one programme path, At least one maximum route of weight is defined as at least one recommended route.
In one embodiment, the 9th determining module, it may include：
17th determination sub-module, it is configured to determine that at least one programme path each with described at least one the The coincidence distance of each route in one reference route；
18th determination sub-module, it is configured as referring to route with described at least one the first based on the coincidence distance each From distance, determine the coincidence factor.
In one embodiment, the 8th determining module, it may include：
19th determination sub-module, is configured to determine that current time；
20th determination sub-module, it is configured to determine that the traffic information of the current time；
21st determination sub-module, it is configured as based on the start position, the route constraints and described Traffic information, determine at least one programme path.
In one embodiment, the 7th determining module, it may include：
22nd determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that extremely A few history route；
23rd determination sub-module, is configured to determine that current time；
24th determination sub-module, be configured as from least one history route, it is determined that with it is described current when Between adjacent at least one history route refer to route as described at least one the first.
In one embodiment, the 7th determining module, it may include：
25th determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that extremely A few history route；
26th determination sub-module, is configured to determine that current date；
27th determination sub-module, it is configured as from least one history route, it is determined that working as the day before yesterday with described Phase adjacent at least one history route refers to route as described at least one the first.
In one embodiment, described device, may also include：
11st determining module, it is configured to determine that the wind direction information of current time；
Tenth determining module, it is additionally configured to based on the wind direction information and the coincidence factor, from described at least one In bar programme path, at least one recommended route is determined.
In one embodiment, described device, may also include：
Receiving module, it is configured as receiving the input information for being used for selecting route；
12nd determining module, it is configured as being based on the input information, from least one recommended route, it is determined that Need the route walked.
According to the 5th of the embodiment of the present disclosure the aspect, there is provided a kind of route recommendation device, described device include：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Based on start position and route constraints, determine that at least one the first refer to route；
Determine current location point；
If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing position Put at least one the second a little for starting point and refer to route；
Determine described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence factor of line；
Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
According to the 6th of the embodiment of the present disclosure the aspect, there is provided a kind of route recommendation device, described device include：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Based on start position and route constraints, determine that at least one the first refer to route；
Based on the start position and the route constraints, at least one programme path is determined；
Determine at least one programme path each with described at least one the first with reference to each route in route Coincidence factor；
Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
According to the 7th of the embodiment of the present disclosure the aspect, there is provided a kind of computer-readable recording medium, be stored thereon with calculating Machine program, the computer program realize following steps when being executed by processor：
Based on start position and route constraints, determine that at least one the first refer to route；
Determine current location point；
If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing position Put at least one the second a little for starting point and refer to route；
Determine described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence factor of line；
Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
According to the eighth aspect of the embodiment of the present disclosure, there is provided a kind of computer-readable recording medium, be stored thereon with calculating Machine program, the computer program realize following steps when being executed by processor：
Based on start position and route constraints, determine that at least one the first refer to route；
Based on the start position and the route constraints, at least one programme path is determined；
Determine at least one programme path each with described at least one the first with reference to each route in route Coincidence factor；
Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the present invention Example, and for explaining principle of the invention together with specification.
Figure 1A is the flow chart of the route recommendation method according to an exemplary embodiment.
Figure 1B is the route schematic diagram according to an exemplary embodiment.
Fig. 2 is the flow chart of the route recommendation method according to an exemplary embodiment one.
Fig. 3 is the flow chart of the route recommendation method according to an exemplary embodiment two.
Fig. 4 is the flow chart of the route recommendation method according to an exemplary embodiment three.
Fig. 5 is the flow chart of the route recommendation method according to an exemplary embodiment four.
Fig. 6 is the flow chart of the route recommendation method according to an exemplary embodiment five.
Fig. 7 is the flow chart of the route recommendation method according to an exemplary embodiment six.
Fig. 8 is the flow chart of the route recommendation method according to an exemplary embodiment seven.
Fig. 9 is the flow chart of the route recommendation method according to an exemplary embodiment.
Figure 10 is the flow chart of the route recommendation method according to an exemplary embodiment eight.
Figure 11 is the flow chart of the route recommendation method according to an exemplary embodiment nine.
Figure 12 is the flow chart of the route recommendation method according to an exemplary embodiment ten.
Figure 13 is the flow chart of the route recommendation method according to an exemplary embodiment 11.
Figure 14 is the flow chart of the route recommendation method according to an exemplary embodiment 12.
Figure 15 is the flow chart of the route recommendation method according to an exemplary embodiment 13.
Figure 16 is the flow chart of the route recommendation method according to an exemplary embodiment 14.
Figure 17 is the flow chart of the route recommendation method according to an exemplary embodiment 15.
Figure 18 is the flow chart of the route recommendation method according to an exemplary embodiment 16.
Figure 19 A are a kind of block diagrams of route recommendation device according to an exemplary embodiment.
Figure 19 B are a kind of block diagrams of route recommendation device according to an exemplary embodiment one.
Figure 19 C are a kind of block diagrams of route recommendation device according to an exemplary embodiment two.
Figure 19 D are a kind of block diagrams of route recommendation device according to an exemplary embodiment three.
Figure 19 E are a kind of block diagrams of route recommendation device according to an exemplary embodiment four.
Figure 19 F are a kind of block diagrams of route recommendation device according to an exemplary embodiment five.
Figure 19 G are a kind of block diagrams of route recommendation device according to an exemplary embodiment six.
Figure 19 H are a kind of block diagrams of route recommendation device according to an exemplary embodiment seven.
Figure 20 A are a kind of block diagrams of route recommendation device according to an exemplary embodiment.
Figure 20 B are a kind of block diagrams of route recommendation device according to an exemplary embodiment eight.
Figure 20 C are a kind of block diagrams of route recommendation device according to an exemplary embodiment nine.
Figure 20 D are a kind of block diagrams of route recommendation device according to an exemplary embodiment ten.
Figure 20 E are a kind of block diagrams of route recommendation device according to an exemplary embodiment 11.
Figure 20 F are a kind of block diagrams of route recommendation device according to an exemplary embodiment 12.
Figure 20 G are a kind of block diagrams of route recommendation device according to an exemplary embodiment 13.
Figure 20 H are a kind of block diagrams of route recommendation device according to an exemplary embodiment 14.
Figure 20 I are a kind of block diagrams of route recommendation device according to an exemplary embodiment 15.
Figure 20 J are a kind of block diagrams of route recommendation device according to an exemplary embodiment 16.
Figure 21 is a kind of block diagram of route recommendation device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended The example of the consistent apparatus and method of some aspects being described in detail in claims, of the invention.
Figure 1A is the flow chart of the route recommendation method according to an exemplary embodiment, and Figure 1B is exemplary according to one Implement the route schematic diagram exemplified.The route recommendation method can apply terminal device (such as：Smart mobile phone, flat board electricity Brain, Intelligent bracelet, intelligent watch) on, electronic map can be stored with terminal device, and it is above-mentioned according to electronic map implementation Route recommendation method.The route recommendation method can apply in the application scenarios for user's recommendation moving line.Such as Figure 1A institutes Show, the route recommendation method comprises the following steps S101-S105：
In step S101, based on start position and route constraints, determine that at least one the first refer to route.
In one embodiment, route constraints can be time span.User movement is stored with terminal device Mean Speed, the Mean Speed can be recorded by historical movement of the terminal device based on user and are calculated, can also passed through Ask the Mean Speed of user's input motion and obtain., can be with based on the Mean Speed of above-mentioned time span and user movement Obtain the mean path of user movement.Mean path based on user movement and start position can determine at least one the first ginsengs Examine route.In one embodiment, first the history route that route can be user movement is referred to, can also be with user movement History route portion overlaps.
In another embodiment, route constraints can be distance.Terminal device can be by asking user to input The value of distance is obtained, or records to obtain by the historical movement of counting user, specifically by the historical movement distance of statistics Value of the average value as distance in route constraints.At least one the first can be determined based on above-mentioned distance and start position With reference to route.
In step s 102, current location point is determined.
In one embodiment, the current location point can pass through alignment system (such as GPS positioning system) and user The terminal device carried during motion obtains.Specifically, the longitude and latitude residing for terminal device is determined by alignment system and terminal device Degree, is defined as current location point by the longitude and latitude.
In step s 103, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In one embodiment, crossing location point can be the location point for being used to identify crossing in electronic map.In user During motion, terminal device detection the distance between current location point and crossing location point.If terminal device detects The distance between current location point and crossing location point are less than pre-determined distance, then are considered as user and are up to crossing location point, and It is determined that refer to route using the crossing location point as at least one the second of starting point.Terminal device can will using crossing location point as Starting point, all routes in addition to route where the point of current location are defined as described second and refer to route.
In step S104, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In one embodiment, one second is equal to this second with reference to route and one first coincidence factor with reference to route The ratio for overlapping length and the distance of the first reference route with reference to route with this first with reference to route.In this step, really Fixed each second with reference to route and each first coincidence factor with reference to route.In one exemplary embodiment, if really Fixed second has X1, X2 with reference to route, and first has Y1 and Y2 with reference to route, then in this step, determine X1 and Y1 coincidence factor, The coincidence factor of X1 and Y2 coincidence factor, X2 and Y1 coincidence factor and X2 and Y2.
In step S105, based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing to walk Route.
In this step, can be based on above-mentioned determination at least one the second with reference to route each with least one the first ginsengs The coincidence factor of each route in route is examined, is user from least one the second with reference to determining to need the route walked in route Navigation.In one exemplary embodiment, will can be defined as with first with reference to the second of route coincidence factor minimum with reference to route It is determined that needing the route walked, this way it is possible to avoid user movement route is dull, be advantageous to improve user movement enthusiasm.
In one exemplary embodiment, user can use Intelligent bracelet to recommend moving line, and in motion process Navigated.Generally, the electronic map of user residence is preserved in Intelligent bracelet, such as, Shanghai City is electronically Figure.In warm-up, after the recommended route function of starting Intelligent bracelet, Intelligent bracelet can ask user input start position with And route constraints (time span or distance), and receiving the start position and route constraints of user's input Afterwards, determine that at least one the first refer to route, for example can determine that two first refer to route, wherein, first can with reference to route To be the historical movement route closed on current time, for example it is before the moving line of current time the previous day, current time Two days moving line etc..As shown in Figure 1B, the motion starting point of user is H points, and point I, J, K, L, M, N, O, P, Q, R in figure are The crossing location point of road.If the crossing location point that the moving line of current time the previous day undergoes successively be H, I, J, K, L, I and H, the crossing location point that the moving line of second day undergoes successively before current time is H, I, P, O, N, Q, I and H. In the present embodiment, the moving line of second day before the moving line of current time the previous day and current time can be defined as First refers to route.
Continue exemplary embodiments mentioned above, can be the cycle at predetermined intervals during user movement Current location point is determined, for example default time interval can be 0.5 second.If current location point in H points, due to using H points as The road of starting point only has one, then route of the route for directly determining to need to walk between point H and point I, and exports navigation letter Breath, such as voice broadcast " please keep straight on ".If current location point range points I is less than pre-determined distance, it is determined that using point I as starting point Second refers to route, it is determined here that second with reference to route can be road between route between point I and point J, point I and point R Route between line, point I and point P.It is then determined route, point I and point P between route, point I and point R between I and point J it Between the respective moving line Zhong Meitiao roads with second day before the moving line and current time of current time the previous day of route The coincidence factor of line.Wherein, the route between the route between point I and point J, point I and point R and the motion road of current time the previous day The coincidence factor of line is 100%, and the coincidence factor of the moving line of second day is before the route and current time between point I and point P 100%.In this case (at least one the second with reference to route each with least one the first with reference to each route in route Coincidence factor be 100%), it is determined that (such as 7 days) at least one the second refer to route in preset time before current time Walking number, and determine that at least one the second each with reference to route with reference to the number of walking of route based at least one the second From weight, determine with reference to the respective weight of route to need the route walked based at least one the second, wherein, at least one the Each corresponding weight can be with inverse correlation with corresponding number of having walked for two reference routes.In the present example embodiment, it is assumed that The number that i-th route has been walked in the preset time before current time is ti, it is determined that it is the general of the route that needs are walked Rate P is
For example, if the number of walking of the route between I and point J is 4, the walking of the route between point I and point R is secondary Number is 3, and the number of walking of the route between point I and point P is 2, then the route between I and point J is defined as needing the road walked The probability of line is 1/7, and the probability for the route that the route between point I and point R is defined as needing to walk is 2/7, between point I and point P The route probability of route that is defined as needing to walk be 4/7.In the present example embodiment, can be by least one the second ginsengs Second of weight maximum in the respective weight of route is examined to be defined as needing the route walked with reference to route.Such as can by point I with Route between point P is defined as needing the route walked, and voice broadcast " junction ahead please turn right ", prompts user movement road Line.So, it is possible to reduce the number of repetition of user movement route, be advantageous to improve the enthusiasm of user movement.
Continue exemplary embodiments mentioned above, if referring to route using crossing location point as at least one the second of starting point In, it is 0 second refer to route to exist with least one the first with reference to the coincidence factor of the route in route, it is determined that this with least The second reference route that one first coincidence factor for referring to the route in route is 0 is the route for needing to walk.If with crossing Location point refers to at least one the second of starting point with reference to more than two (including two) in route, be present with least one the first The coincidence factor of route in route is 0 second refer to route, then random to determine that wherein one second with reference to route is need to go The route walked.
During user movement, it can recommend according to the method described above in the pre-determined distance apart from each crossing location point Route, navigated for user movement, until motion terminates.
It is specific how recommended route, refer to subsequent embodiment.
So far, the above method that the embodiment of the present disclosure provides, can first be determined by start position and route constraints At least one the first refer to route, when the distance between current location point and crossing location point is less than pre-determined distance, then determine Refer to route using crossing location point as at least one the second of starting point, it is then determined that at least one the second with reference to route each with extremely Few one first coincidence factor with reference to each route in route, in this manner it is possible to each with reference to route according at least one the second From with least one the first with reference to each route in route coincidence factor, from least one the second with reference in route, it is determined that needing The route to be walked.The technical scheme of the disclosure, it is possible to achieve based on the coincidence factor recommended route with reference route.
In one embodiment, it is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing The route to be walked, it may include：
Compare described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence factor of line；
, will be with least one the first reference arm from described at least one the second with reference in route based on comparative result The minimum route of the coincidence factor of each route is defined as the route for needing to walk in line.
In one embodiment, described at least one the second with reference to route each with described at least one the first After the coincidence factor of each route in route, it may also include：
If described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor it is identical, it is determined that in default historical time described at least one the second with reference to route each corresponding to walked it is secondary Number；
Based on the number of having walked, described at least one the second are determined with reference to the respective corresponding weight of route；
Based on the weight, from described at least one the second with reference in route, determining the route for needing to walk.
In one embodiment, it is described to be based on the weight, from described at least one the second with reference in route, it is determined that described Need the route walked, it may include：
Compare described at least one the second with reference to the respective corresponding weight of route；Wherein, at least one the second reference Each self-corresponding weight of route and corresponding number inverse correlation of having walked；
Based on comparative result, from described at least one the second with reference in route, the maximum route of weight is defined as described Need the route walked.
In one embodiment, it is described determine described at least one the second with reference to route each with described at least one the first With reference to the coincidence factor of each route in route, it may include：
Determine described at least one the second with reference to route each with described at least one the first with reference to each road in route The coincidence distance of line；
The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current time；
From at least one history route, it is determined that at least one history route conduct adjacent with the current time Described at least one the first refer to route.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current date；
From at least one history route, it is determined that at least one history route conduct adjacent with the current date Described at least one the first refer to route.
In one embodiment, it is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing Before the route to be walked, it may also include：
Determine the wind direction information of current time；
It is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked, bag Include：
Based on the wind direction information and the coincidence factor, it is described from described at least one the second with reference in route, determine institute State the route for needing to walk.
The technical scheme of embodiment of the present disclosure offer is provided with specific embodiment below.
Fig. 2 is the flow chart of the route recommendation method according to an exemplary embodiment one；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative exemplified by how carrying out recommended route based on coincidence factor, such as Fig. 2 institutes Show, comprise the following steps S201~S206：
In step s 201, based on start position and route constraints, determine that at least one the first refer to route.
In step S202, current location point is determined.
In step S203, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step S204, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
Step S201~S204 is similar to step S101~S104 in the embodiment shown in Figure 1A, will not be repeated here.
In step S205, more described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
,, will be with described at least one from described at least one the second with reference in route based on comparative result in step S206 Bar first is defined as the route for needing to walk with reference to the minimum route of the coincidence factor of each route in route.
In the present embodiment, it is determined that at least one the second each refer to route with reference to route with described at least one the first In each route coincidence factor after, can be determined to comparing between obtained at least one coincidence factor in comparative result minimum Coincidence factor, and refer to route by corresponding with minimum coincidence factor second and be defined as needing the route walked.
In the present embodiment, by comparing obtained each coincidence factor, it is determined that minimum coincidence factor, and will be with minimum coincidence factor pair Second answered is defined as needing the route walked with reference to route, so, can reduce the coincidence factor of recommended route and history route, Recommended route and the coincidence factor of history route are minimized, the repetitive rate of user's track route can be avoided, is advantageous to improve User movement enthusiasm.
Fig. 3 is the flow chart of the route recommendation method according to an exemplary embodiment two；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, example is carried out so that the number of walking based on the second reference route carries out route recommendation as an example Property explanation, as shown in figure 3, comprising the following steps：
In step S301, based on start position and route constraints, determine that at least one the first refer to route.
In step s 302, current location point is determined.
In step S303, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step s 304, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In step S305, more described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
Step S301~S305 is similar to step S201~S205 in the embodiment shown in Fig. 2, will not be repeated here.
In step S306, if described at least one the second each refer to route with reference to route with described at least one the first In each route coincidence factor it is identical, it is determined that described at least one the second is each right with reference to route in default historical time The walking number answered.
In step S307, based on the number of having walked, determine that described at least one the second each correspond to reference to route Weight.
In step S308, based on the weight, from described at least one the second with reference in route, determining described to need to go The route walked.
Exemplary embodiment as shown in Figure 1B, after obtained each coincidence factor is compared, if compared in comparative result As a result the value all same of middle coincidence factor, in this case it is necessary to again based on second with reference to route each corresponding to walked it is secondary Number determines to need the route walked.Specifically, first determine at least one in default historical time (such as 7 days before current time) Second with reference to route each corresponding to walked number, based at least one the second with reference to route each corresponding to walked number At least one the second are determined with reference to the respective corresponding weight of route.Finally, at least one the second based on determination are each with reference to route Self-corresponding weight, it is determined that needing the route walked.
In one exemplary embodiment, at least one the second with reference to route, each corresponding weight has been walked with corresponding Number inverse correlation, it is, one second number of walking with reference to route is bigger, corresponding weight is smaller.In the present embodiment In, can be from least one the second of determination with reference in route each corresponding weight, determining the second ginseng corresponding to weight limit Route is examined to need the route walked.So, the number of repetition of recommended route and history route can be reduced, make recommended route with The number of repetition of history route minimizes, and is advantageous to improve user movement enthusiasm.
In another exemplary embodiment, at least one the second with reference to route, each corresponding weight has been gone with corresponding Number positive correlation is walked, it is, one second number of walking with reference to route is smaller, corresponding weight is smaller.In this implementation In example, it can be determined from least one the second of determination with reference in route each corresponding weight second corresponding to minimal weight The route walked with reference to route for needs.So, the number of repetition of recommended route and history route can also be reduced, makes recommendation road The number of repetition of line and history route minimizes, and is advantageous to improve user movement enthusiasm.
In the present embodiment, can at least one the second with reference to route each with described at least one the first with reference to route in When the coincidence factor of each route is identical, the respective number of having walked of route is referred to based at least one the second, it is determined that needing to go The route walked.
Fig. 4 is the flow chart of the route recommendation method according to an exemplary embodiment three；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, exemplary theory is carried out so that the weight based on the second reference route carries out route recommendation as an example It is bright, as shown in figure 4, comprising the following steps：
In step S401, based on start position and route constraints, determine that at least one the first refer to route.
In step S402, current location point is determined.
In step S403, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step s 404, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In step S405, more described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In step S406, if described at least one the second each refer to route with reference to route with described at least one the first In each route coincidence factor it is identical, it is determined that described at least one the second is each right with reference to route in default historical time The walking number answered.
In step S 407, based on the number of having walked, determine that described at least one the second each correspond to reference to route Weight.
Step S401~S407 is similar to step S301~S307 in the embodiment shown in Fig. 3, will not be repeated here.
In step S408, more described at least one the second with reference to the respective corresponding weight of route；Wherein, it is described at least One second refers to route each corresponding weight and corresponding number inverse correlation of having walked.
In step S409, based on comparative result, from described at least one the second with reference in route, by the road that weight is maximum Line is defined as the route for needing to walk.
In the present embodiment, at least one the second with reference to route, each corresponding weight and corresponding number of having walked are anti-phase Close, it is, one second number of walking with reference to route is bigger, corresponding weight is smaller.In the present embodiment, Ke Yicong At least one the second determined are with reference in route each corresponding weight, determining corresponding to weight limit second with reference to route to need The route to be walked.So, the number of repetition of recommended route and history route can be reduced, makes recommended route and history route Number of repetition minimizes, and is advantageous to improve user movement enthusiasm.
In the present embodiment, by by least one the second with reference to route each corresponding weight and corresponding number of having walked Inverse correlation, the route walked can be needed with reference to route by corresponding to weight limit second.So, recommended route can be reduced With the number of repetition of history route, recommended route and the number of repetition of history route are minimized, be advantageous to improve user's fortune Dynamic enthusiasm.
Fig. 5 is the flow chart of the route recommendation method according to an exemplary embodiment four；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative exemplified by how determining above-mentioned coincidence factor, as shown in figure 5, bag Include following steps：
In step S501, based on start position and route constraints, determine that at least one the first refer to route.
In step S502, current location point is determined.
In step S503, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
Step S501~S503 in the present embodiment is similar to S101~S103 in Figure 1A illustrated embodiments, herein no longer Repeat.
In step S504, determine described at least one the second with reference to route each with least one the first reference arm The coincidence distance of each route in line.
In one exemplary embodiment, if it is determined that second have X1, X2 with reference to route, first with reference to route have Y1 with Y2, it is determined that X1 and Y1 overlap distance, X1 and Y2 overlap distance, X2 and Y1 overlap distance and X2 and Y2 overlap road Journey.
In step S505, the respective distance of route is referred to described at least one the first based on the coincidence distance, really The fixed coincidence factor.
Continuation exemplary embodiments mentioned above, overlapping for X1 and Y1 is calculated with the Y1 distance for overlapping distance and Y1 based on X1 Rate, the distance for overlapping distance and Y2 based on X1 and Y2 calculate X1 and Y2 coincidence factor, and distance and Y1 are overlapped based on X2 and Y1 Distance calculate X2 and Y1 coincidence factor, the coincidence factor for overlapping distance and Y2 distance calculating X2 and Y2 based on X2 and Y2.
In step S506, based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing to walk Route.
Step S506 in the present embodiment is similar to the S105 in Figure 1A illustrated embodiments, will not be repeated here.
In the present embodiment, by determine at least one the second with reference to route each with least one the first with reference to every in route The coincidence distance of one route and first with reference to each route in route distance, it may be determined that at least one the second references Route each with least one the first with reference to each route in route coincidence factor.
Fig. 6 is the flow chart of the route recommendation method according to an exemplary embodiment five；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative exemplified by how determining the first reference route, as shown in fig. 6, bag Include following steps：
In step s 601, based on the start position and the route constraints, at least one history route is determined.
In one embodiment, the start position inputted according to user and the route constraints, are deposited from Intelligent bracelet Start position and at least one history route of the route constraints are determined for compliance with the historical record of storage.In an example In property embodiment, start position and institute can be determined for compliance with before current time in preset time (such as 7 days) interior historical record The history route of route constraints is stated, as at least one above-mentioned history route.
In step S602, current time is determined.
In step S603, from least one history route, it is determined that adjacent with the current time at least one Bar history route refers to route as described at least one the first.
In one exemplary embodiment, if current time is 31 days 17 July in 2017:30, above-mentioned determination is at least One history route has 3, and the time distinguishes 30 days 6 July in 2017:30th, 28 days 17 July in 2017:30 and 2017 year July 25 Day 17:30.Through comparing, in 3 history routes, 30 days 6 July in 2017:30th, 28 days 17 July in 2017:30 with current time phase Neighbour, therefore can be by 30 days 6 July in 2017:30th, 28 days 17 July in 2017:30 route is defined as first and refers to route.
In step s 604, current location point is determined.
In step s 605, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step S606, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In step S607, based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing to walk Route.
Step S604~S607 in the present embodiment is similar to S102~S105 in Figure 1A illustrated embodiments, herein no longer Repeat.
In the present embodiment, route recommendation is carried out with reference to route by the way that the history route adjacent with current time is used as, can To avoid recommending recent history route to user, be advantageous to improve user movement enthusiasm.
Fig. 7 is the flow chart of the route recommendation method according to an exemplary embodiment six；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative exemplified by how determining the first reference route, as shown in fig. 7, bag Include following steps：
In step s 701, based on the start position and the route constraints, at least one history route is determined.
Step S701 in the present embodiment is similar to the S601 in embodiment illustrated in fig. 6, will not be repeated here.
In step S702, current date is determined.
In step S703, from least one history route, it is determined that adjacent with the current date at least one Bar history route refers to route as described at least one the first.
In one exemplary embodiment, if current date is on July 31st, 2017, at least one of above-mentioned determination goes through History route has 3, and the time distinguishes 31 days 6 July in 2017:30th, 29 days 17 July in 2017:30 and 2017 on July 26,17: 30.Through comparing, in 3 history routes, 31 days 6 July in 2017:30th, 29 days 17 July in 2017:30 is adjacent with current date, therefore Can be by 31 days 6 July in 2017:30th, 29 days 17 July in 2017:30 route is defined as first and refers to route.
In step S704, current location point is determined.
In step S705, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step S706, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
In step S707, based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing to walk Route.
Step S704~S707 in the present embodiment is similar to S102~S105 in Figure 1A illustrated embodiments, herein no longer Repeat.
In the present embodiment, route recommendation is carried out with reference to route by the way that the history route adjacent with current date is used as, can To avoid recommending recent history route to user, be advantageous to improve user movement enthusiasm.
Fig. 8 is the flow chart of the route recommendation method according to an exemplary embodiment seven；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, exemplary theory is carried out exemplified by how determining to need the route walked based on wind direction information It is bright, as shown in figure 8, comprising the following steps：
In step S801, based on start position and route constraints, determine that at least one the first refer to route.
In step S802, current location point is determined.
In step S803, if the distance between current location point and crossing location point are less than pre-determined distance, really It is fixed to refer to route using the crossing location point as at least one the second of starting point.
In step S804, determine described at least one the second with reference to route each with least one the first reference arm The coincidence factor of each route in line.
Step S801~S804 in the present embodiment is similar to S101~S104 in Figure 1A illustrated embodiments, herein no longer Repeat.
In step S805, the wind direction information of current time is determined.
In one exemplary embodiment, the wind direction of current time, such as south wind, northwester etc. are to determine.
It is described from least one the second reference based on the wind direction information and the coincidence factor in step S806 In route, the route for needing to walk is determined.
In one embodiment, based on the wind direction information of current time from least one the second with reference in route by contrary wind Route is deleted, then determines the route for needing to walk from the remaining second reference route based on the coincidence factor.
In exemplary embodiment as shown in Figure 1B, L points are northern in H points, when Intelligent bracelet detects user in Figure 1B When in the pre-determined distance of the crossing location point of shown I points, the wind direction information of current time is determined, if wind direction is north wind, By the route between point I and point R from least one the second with reference to being deleted in route.By the route of contrary wind from least one the second The route for needing to walk is determined from the remaining second reference route after being deleted in route, then based on coincidence factor, can To avoid user's row contrary wind route.
In another embodiment, the step of " wind direction information for determining current time " can be located at " it is determined that it is described at least One second with reference to route each with described at least one the first with reference to each route in route coincidence factor " before, so, Can in advance by by the route of contrary wind from least one the second with reference to being deleted in route, avoid carrying out invalid meter when calculating coincidence factor Calculate, reduce amount of calculation, save and calculate cost.
In the present embodiment, the route of contrary wind can be excluded based on current wind direction information, avoids user's row contrary wind route, Be advantageous to improve Consumer's Experience.
Fig. 9 is the flow chart of the route recommendation method according to an exemplary embodiment.The route recommendation method can be with Apply terminal device (such as：Smart mobile phone, tablet personal computer, Intelligent bracelet, intelligent watch) on, it can be stored in terminal device There is electronic map, and implement above-mentioned route recommendation method according to electronic map.The route recommendation method can apply to for Recommend in the application scenarios of moving line at family.As shown in figure 9, the route recommendation method comprises the following steps S901-S904：
In step S901, based on start position and route constraints, determine that at least one the first refer to route.
Step S901 in the present embodiment is similar to the step S101 in Figure 1A illustrated embodiments, will not be repeated here.
In the present embodiment, first the history route that route can be user movement is referred to, can also be with user movement History route portion overlaps.
In step S902, based on the start position and the route constraints, at least one programme path is determined.
In the present embodiment, Intelligent bracelet is it is determined that after start position and route constraints, it may be determined that all to meet Start position and the route of route constraints are as programme path.
In step S903, determine at least one programme path each with described at least one the first with reference in route The coincidence factor of each route.
Step S903 in the present embodiment is similar to the step S104 in the embodiment shown in Figure 1A, will not be repeated here.
In step S904, based on the coincidence factor, from least one programme path, at least one recommendation is determined Route.
Obtain at least one programme path each with described at least one the first with reference to each route in route weight After conjunction rate, can based at least one programme path each with described at least one the first with reference to each route in route weight Conjunction rate, determine at least one recommended route.In the present embodiment, can be from least one programme path each with described at least one In coincidence factor of the bar first with reference to each route in route, the programme path of the minimum preset number bar of coincidence factor is determined, is made For recommended route, for selection by the user.
In exemplary embodiment as shown in Figure 1B, when the start position of user's input is H points, distance is 10 kms When, Intelligent bracelet can be determined for compliance with the history route of the two conditions as the first reference based on the two conditional plan routes Route, typically it can determine that first refers to route in the history route before current time in preset time (such as 7 days).If Before the moving line and current time of current time the previous day the moving line of second day meet start position be H points, distance be The condition of 10 kms, the moving line of second day before the moving line of current time the previous day and current time can be defined as First refers to route.Wherein, the crossing location point that the moving line of current time the previous day undergoes successively be H, I, J, K, L, I with And H, the crossing location point that the moving line of second day undergoes successively before current time is H, I, P, O, N, Q, I and H.
Continue exemplary embodiments mentioned above, based on the condition that start position is H points, distance is 10 kms, it is determined that institute Have and meet the route that start position is H points, distance is 10 kms and include：The crossing location point undergone successively be H, I, J, K, L, M, Q, the crossing that R, I, H route, the crossing location point undergone successively are H, I, J, K, L, M, Q, P, I, H route, undergone successively Location point is H, I, P, O, N, M, Q, R, I, H route.Therefore can be using this three routes as programme path.
Continue exemplary embodiments mentioned above, determine three programme paths each with two first with reference to each in route With reference to the coincidence factor of route.Wherein, the crossing location point undergone successively is one corresponding to H, I, J, K, L, M, Q, P, I, H route Individual coincidence factor is minimum, and the crossing location point undergone successively is a corresponding coincidence for H, I, J, K, L, M, Q, R, I, H route Rate is taken second place, and the coincidence factor that the crossing location point undergone successively is one corresponding to H, I, P, O, N, M, Q, R, I, H route is maximum. Two minimum programme paths of coincidence factor can be presented to user by Intelligent bracelet as recommended route, can also be by recommended route Coincidence factor corresponding with the first reference route is presented to user, for selection by the user.
It is specific how recommended route, refer to subsequent embodiment.
So far, the above method that the embodiment of the present disclosure provides, by based on start position and route constraints, it is determined that extremely Few one first refers to route and at least one programme path, and at least one programme path of determination is each with least one the first With reference to the coincidence factor of each route in route, in this manner it is possible to based at least one programme path each with least one the The coincidence factor of each route, from least one programme path, determines at least one recommended route in one reference route.This public affairs The technical scheme opened, it is possible to achieve based on the coincidence factor recommended route with reference route.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one Bar recommended route, it may include：
Compare at least one programme path each with described at least one the first with reference to each route in route Coincidence factor；
, will be with described at least one the first with reference in route from least one programme path based on comparative result At least one minimum route of the coincidence factor of each route is defined as at least one recommended route.
In one embodiment, at least one programme path each with least one the first reference In route after the coincidence factor of each route, it may also include：
If at least one programme path each with described at least one the first with reference to each route in route weight Conjunction rate is identical, it is determined that the walking number of at least one programme path in default historical time；
Based on the number of having walked, each self-corresponding weight of at least one programme path is determined；
Based on the weight, from least one programme path, at least one recommended route is determined.
In one embodiment, it is described to be based on the weight, from least one programme path, it is determined that it is described at least One recommended route, it may include：
Compare each self-corresponding weight of at least one programme path；Wherein, at least one programme path is each Self-corresponding weight and corresponding number inverse correlation of having walked；
Based on comparative result, from least one programme path, at least one maximum route of weight is defined as At least one recommended route.
In one embodiment, it is described determine at least one programme path each with least one the first reference The coincidence factor of each route in route, it may include：
Determine at least one programme path each with described at least one the first with reference to each route in route Overlap distance；
The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
In one embodiment, it is described to be based on the start position and the route constraints, determine at least one rule Draw route, it may include：
Determine current time；
Determine the traffic information of the current time；
Based on the start position, the route constraints and the traffic information, at least one rule are determined Draw route.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current time；
From at least one history route, it is determined that at least one history route conduct adjacent with the current time Described at least one the first refer to route.
In one embodiment, it is described to be based on start position and route constraints, determine at least one the first reference arms Line, it may include：
Based on the start position and the route constraints, at least one history route is determined；
Determine current date；
From at least one history route, it is determined that at least one history route conduct adjacent with the current date Described at least one the first refer to route.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one Before bar recommended route, it may also include：
Determine the wind direction information of current time；
It is described to be based on the coincidence factor, from least one programme path, at least one recommended route is determined, is wrapped Include：
Based on the wind direction information and the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
In one embodiment, it is described to be based on the coincidence factor, from least one programme path, it is determined that at least one After bar recommended route, it may also include：
Receive the input information for selecting route；
Based on the input information, from least one recommended route, it is determined that needing the route walked.
Figure 10 is the flow chart of the route recommendation method according to an exemplary embodiment eight；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative exemplified by how carrying out recommended route based on coincidence factor, such as Figure 10 It is shown, comprise the following steps S1001~S1005：
In step S1001, based on start position and route constraints, determine that at least one the first refer to route.
In step S1002, based on the start position and the route constraints, at least one planning road is determined Line.
In the step s 1003, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
Step S1001~S1003 in the present embodiment is similar to step S901~S903 in embodiment illustrated in fig. 9, This is repeated no more.
In step S1004, at least one programme path each refers to route with described at least one the first In each route coincidence factor.
,, will be with described at least one from least one programme path based on comparative result in step S1005 First is defined as at least one recommended route with reference at least one minimum route of the coincidence factor of each route in route.
In the present embodiment, can be at least one programme path each with least one the first with reference to each in route The coincidence factor of route is compared between any two, obtains the sequence of each coincidence factor size, and therefrom determine preset number most Small coincidence factor, such as, two minimum coincidence factors are determined, programme path corresponding to the minimum coincidence factor of the preset number of determination is true It is set to recommended route.
In the present embodiment, by comparing at least one programme path each with least one the first with reference to each in route The coincidence factor of route, programme path corresponding to the minimum coincidence factor of preset number can be defined as recommended route, so, can be with Recommended route and the coincidence factor of history route are reduced, recommended route and the coincidence factor of history route is minimized, can avoid The repetitive rate of user's track route, be advantageous to improve user movement enthusiasm.
Figure 11 is the flow chart of the route recommendation method according to an exemplary embodiment nine；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, exemplary theory is carried out so that the number of walking based on programme path carries out route recommendation as an example It is bright, as shown in figure 11, comprise the following steps S1101~S1107：
In step S1101, based on start position and route constraints, determine that at least one the first refer to route.
In step S1102, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1103, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1104, at least one programme path each refers to route with described at least one the first In each route coincidence factor.
Step S1101~S1104 in the present embodiment is similar to step S1001~S1004 in embodiment illustrated in fig. 10, It will not be repeated here.
In step S1105, if at least one programme path is each with described at least one the first with reference in route The coincidence factor of each route is identical, it is determined that the walking time of at least one programme path in default historical time Number.
In step S1106, based on the number of having walked, each self-corresponding of at least one programme path is determined Weight.
In step S1107, based on the weight, from least one programme path, described at least one is determined Recommended route.
Exemplary embodiment as shown in Figure 1B, after obtained each coincidence factor is compared, if compared in comparative result As a result the value all same of middle coincidence factor, in this case it is necessary to true based on each self-corresponding number of having walked of programme path again Determine recommended route.Specifically, first determine that at least one programme path is each in default historical time (such as 7 days before current time) Self-corresponding number of having walked, at least one planning road is determined based on each self-corresponding number of having walked of at least one programme path Each self-corresponding weight of line.Finally, each self-corresponding weight of at least one programme path based on determination, determines that at least one pushes away Recommend route.
, can be at least one programme path each with described at least one the first with reference to each in route in the present embodiment When the coincidence factor of bar route is identical, based on the respective number of having walked of at least one programme path, at least one recommendation road is determined Line.
Figure 12 is the flow chart of the route recommendation method according to an exemplary embodiment ten；The present embodiment utilizes this public affairs The above method of embodiment offer is provided, it is illustrative so that the weight based on programme path carries out route recommendation as an example, such as Shown in Figure 12, comprise the following steps S1201~S1208：
In step S1201, based on start position and route constraints, determine that at least one the first refer to route.
In step S1202, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1203, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1204, at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1205, if at least one programme path is each with described at least one the first with reference in route The coincidence factor of each route is identical, it is determined that the walking time of at least one programme path in default historical time Number.
In step S1206, based on the number of having walked, each self-corresponding of at least one programme path is determined Weight.
Step S1201~S1206 in the present embodiment is similar to step S1101~S1106 in embodiment illustrated in fig. 11, It will not be repeated here.
In step S1207, each self-corresponding weight of at least one programme path；Wherein, it is described at least Each self-corresponding weight of one programme path and corresponding number inverse correlation of having walked.
It is from least one programme path, weight is maximum at least based on comparative result in step S1208 One route is defined as at least one recommended route.
In the present embodiment, each self-corresponding weight of at least one programme path and corresponding number inverse correlation of having walked, It is, the number of walking of a programme path is bigger, corresponding weight is smaller.In the present embodiment, can be from determination In each self-corresponding weight of at least one programme path, programme path corresponding to the weight limit of preset number is determined to recommend road Line.So, the number of repetition of recommended route and history route can be reduced, drops recommended route and the number of repetition of history route It is extremely minimum, be advantageous to improve user movement enthusiasm.
In the present embodiment, by will weight and corresponding number inverse correlation of having walked corresponding at least one planning each, Can be recommended route by programme path corresponding to the weight limit of preset number.So, recommended route and history can be reduced The number of repetition of route, recommended route and the number of repetition of history route are minimized, it is positive to be advantageous to raising user movement Property.
Figure 13 is the flow chart of the route recommendation method according to an exemplary embodiment 11；The present embodiment utilizes this The above method that open embodiment provides, it is illustrative exemplified by how determining above-mentioned coincidence factor, as shown in figure 13, Comprise the following steps S1301~S1305：
In step S1301, based on start position and route constraints, determine that at least one the first refer to route.
In step S1302, based on the start position and the route constraints, at least one planning road is determined Line.
Step S1301~S1302 and the step S901 in embodiment illustrated in fig. 9~step S902 phases in the present embodiment Seemingly, will not be repeated here.
In step S1303, determine that at least one programme path each refers to route with described at least one the first In each route coincidence distance.
In step S1304, the respective distance of route is referred to described at least one the first based on the coincidence distance, really The fixed coincidence factor.
In one exemplary embodiment, if it is determined that programme path have X1, X2, recommended route has Y1 and Y2, then really Determine X1 and Y1 overlap distance, X1 and Y2 overlap distance, X2 and Y1 overlap distance and X2 and Y2 overlap distance.
Continuation exemplary embodiments mentioned above, overlapping for X1 and Y1 is calculated with the Y1 distance for overlapping distance and Y1 based on X1 Rate, the distance for overlapping distance and Y2 based on X1 and Y2 calculate X1 and Y2 coincidence factor, and distance and Y1 are overlapped based on X2 and Y1 Distance calculate X2 and Y1 coincidence factor, the coincidence factor for overlapping distance and Y2 distance calculating X2 and Y2 based on X2 and Y2.
In step S1305, based on the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
In the present embodiment, by determining at least one programme path each with least one the first with reference to each in route The distance of each route in the coincidence distance of route and the first reference route, it may be determined that at least one programme path is each With at least one the first with reference to each route in route coincidence factor.
Figure 14 is the flow chart of the route recommendation method according to an exemplary embodiment 12；The present embodiment utilizes this The above method that open embodiment provides, it is illustrative exemplified by carrying out route recommendation method based on traffic information, such as Shown in Figure 14, comprise the following steps S1401~S1406：
In step S1401, based on start position and route constraints, determine that at least one the first refer to route.
Step S1401 in the present embodiment is similar to the step S901 in embodiment illustrated in fig. 9, will not be repeated here.
In step S1402, current time is determined.
In step S1403, the traffic information of the current time is determined.
In step S1404, based on the start position, the route constraints and the traffic information, it is determined that At least one programme path.
In the present embodiment, programme path is determined by the following method：Current time is first determined, is determined according to current time Traffic information, wherein, traffic information may include information of vehicle flowrate, and at least one is determined further according to start position, route constraints Bar programme path, for example 5 programme paths are determined, vehicle flowrate is then deleted from least one programme path more than default The programme path of threshold value, for example 2 programme paths that vehicle flowrate is more than predetermined threshold value are deleted, using remaining programme path as upper At least one programme path stated, i.e., remaining 3 programme paths, for determining recommended route.If vehicle flowrate is larger on route If, the mass defect of air can be unfavorable for health than more serious on route., can be with so based on traffic information programme path Recommend the route beneficial to health for user, help to lift Consumer's Experience.
In the present embodiment, traffic information may also include surface gathered water information, road surface hygienic conditions information, road surface evenness degree It is one or more in information.So, can plan few or good, road surface evenness without ponding, road surface health from surface gathered water is gone out Programme path, help to lift Consumer's Experience.
In step S1405, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1406, based on the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
Step S1405~S1406 and the step S903 in embodiment illustrated in fig. 9~step S904 phases in the present embodiment Seemingly, will not be repeated here.
By carrying out programme path based on traffic information, and then can be that user recommends road conditions preferable in the present embodiment Route, help to lift Consumer's Experience.
Figure 15 is the flow chart of the route recommendation method according to an exemplary embodiment 13；The present embodiment utilizes this The above method that open embodiment provides, it is illustrative exemplified by how determining the first reference route, as shown in figure 15, Comprise the following steps S1501~S1506：
In step S1501, based on the start position and the route constraints, at least one history road is determined Line.
In step S1502, current time is determined.
In step S1503, from least one history route, it is determined that adjacent with the current time at least one Bar history route refers to route as described at least one the first.
Step S1501~S1503 in the present embodiment is similar to step S601~S603 in the embodiment shown in Fig. 6, It will not be repeated here.
In step S1504, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1505, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1506, based on the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
Step S1504~S1506 in the present embodiment is similar to step S902~S904 in the embodiment shown in Fig. 9, It will not be repeated here.
In the present embodiment, route recommendation is carried out with reference to route by the way that the history route adjacent with current time is used as, can To avoid recommending recent history route to user, be advantageous to improve user movement enthusiasm.
Figure 16 is the flow chart of the route recommendation method according to an exemplary embodiment 14；The present embodiment utilizes this The above method that open embodiment provides, it is illustrative exemplified by how determining the first reference route, as shown in figure 16, Comprise the following steps S1601~S1606：
In step S1601, based on the start position and the route constraints, at least one history road is determined Line.
In step S1602, current date is determined.
In step S1603, from least one history route, it is determined that adjacent with the current date at least one Bar history route refers to route as described at least one the first.
Step S1601~S1603 in the present embodiment is similar to step S701~S703 in the embodiment shown in Fig. 7, It will not be repeated here.
In step S1604, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1605, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1606, based on the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
Step S1604~S1606 in the present embodiment is similar to step S902~S904 in the embodiment shown in Fig. 9, It will not be repeated here.
In the present embodiment, route recommendation is carried out with reference to route by the way that the history route adjacent with current date is used as, can To avoid recommending recent history route to user, be advantageous to improve user movement enthusiasm.
Figure 17 is the flow chart of the route recommendation method according to an exemplary embodiment 15；The present embodiment utilizes this The above method that open embodiment provides, it is illustrative exemplified by how determining the first reference route, as shown in figure 17, Comprise the following steps S1701~S1705：
In step S1701, based on start position and route constraints, determine that at least one the first refer to route.
In step S1702, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1703, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
Step S1701~S1703 in the present embodiment is similar to step S901~S903 in the embodiment shown in Fig. 9, It will not be repeated here.
In step S1704, the wind direction information of current time is determined.
In step S1705, based on the wind direction information and the coincidence factor, from least one programme path, Determine at least one recommended route.
In the present embodiment, can the wind direction information based on current time from least one programme path by the road of contrary wind Line is deleted, then determines recommended route from remaining programme path based on the coincidence factor.
In another embodiment, the step of " wind direction information for determining current time " can be located at " it is determined that it is described at least One programme path each with described at least one the first with reference to each route in route coincidence factor " before, so, can be with The route of contrary wind will be deleted from least one programme path in advance, avoid carrying out invalid computation when calculating coincidence factor, reduce Amount of calculation, save and calculate cost.
In the present embodiment, the route of contrary wind can be excluded based on current wind direction information, avoids user's row contrary wind route, Be advantageous to improve Consumer's Experience.
Figure 18 is the flow chart of the route recommendation method according to an exemplary embodiment 16；The present embodiment utilizes this The above method that embodiment provides is disclosed, it is illustrative exemplified by the route walked by how to determine needs, such as Figure 18 institutes Show, comprise the following steps S1801~S1806：
In step S1801, based on start position and route constraints, determine that at least one the first refer to route.
In step S1802, based on the start position and the route constraints, at least one planning road is determined Line.
In step S1803, determine that at least one programme path each refers to route with described at least one the first In each route coincidence factor.
In step S1804, based on the coincidence factor, from least one programme path, determine that at least one pushes away Recommend route.
Step S1801~S1804 in the present embodiment is similar to step S901~S904 in the embodiment shown in Fig. 9, It will not be repeated here.
In step S1805, the input information for selecting route is received.
In step S1806, based on the input information, from least one recommended route, it is determined that needing to walk Route.
In the present embodiment, the recommended route of determination is passed through display device (ratio by Intelligent bracelet it is determined that after recommended route Such as display screen) user is presented to, and ask user therefrom to determine to need the route walked, user connects according to what Intelligent bracelet provided The mode of collection of letters breath, the information for selecting route is inputted to Intelligent bracelet, Intelligent bracelet receives to be used to select from user The input information of route, and in response to the input information, the recommended route that user is chosen is defined as needing the route walked, Navigated with the route walked based on the needs.Wherein, the mode for the receive information that Intelligent bracelet provides can have a variety of, than Such as touching display screen or mechanical button, do not elaborate herein.
In the present embodiment, can by receive from user be used for select the input information of route, can from it is described to In a few recommended route, it is determined that needing the route walked.By providing recommended route, finally determined to need what is walked by user The approach of route so that the navigation way of offer more agrees with user's request, is advantageous to improve Consumer's Experience.
Figure 19 A are a kind of block diagram of route recommendation device according to an exemplary embodiment, as shown in Figure 19 A, road Line recommendation apparatus includes：
First determining module 191, it is configured as being based on start position and route constraints, determines at least one the first ginsengs Examine route；
Second determining module 192, it is configured to determine that current location point；
3rd determining module 193, the distance being configured as between the current location point and crossing location point are less than in advance If apart from when, it is determined that referring to route using the crossing location point as at least one the second of starting point；
4th determining module 194, be configured to determine that described at least one the second with reference to route each with described at least one Coincidence factor of the bar first with reference to each route in route；
5th determining module 195, it is configured as being based on the coincidence factor, from described at least one the second with reference in route, It is determined that need the route walked.
Figure 19 B are a kind of block diagrams of route recommendation device according to an exemplary embodiment one, as shown in Figure 19 B, 5th determining module 195, it may include：
First comparison sub-module 1951, be configured as described in comparison at least one the second with reference to route each with it is described at least One first coincidence factor with reference to each route in route；
First determination sub-module 1952, it is configured as being based on comparative result, from described at least one the second with reference in route, It will be defined as described needing to walk with reference to the minimum route of the coincidence factor of each route in route with described at least one the first Route.
Figure 19 C are a kind of block diagrams of route recommendation device according to an exemplary embodiment two, as shown in fig. 19 c, 5th determining module 195, may also include：
Second determination sub-module 1953, be configured as described at least one the second with reference to route each with described at least one Bar first with reference to the coincidence factor of each route in route it is identical when, it is determined that described at least one the second in default historical time With reference to route each corresponding to walked number；
3rd determination sub-module 1954, it is configured as based on the number of having walked, determines at least one the second ginseng Examine each self-corresponding weight of route；
4th determination sub-module 1955, it is configured as being based on the weight, from described at least one the second with reference in route, Determine the route for needing to walk.
Figure 19 D are a kind of block diagrams of route recommendation device according to an exemplary embodiment three, as shown in Figure 19 D, 5th determining module 195, may also include：
Second comparison sub-module 1956, be configured as described in comparison at least one the second with reference to route each corresponding to power Weight；Wherein, described at least one the second with reference to route each corresponding weight and corresponding number inverse correlation of having walked；
4th determination sub-module 1955, it is additionally configured to be based on comparative result, from least one the second reference In route, the maximum route of weight is defined as the route for needing to walk.
Figure 19 E are a kind of block diagrams of route recommendation device according to an exemplary embodiment four, as shown in fig.19e, 4th determining module 194, it may include：
5th determination sub-module 1941, be configured to determine that described at least one the second with reference to route each with it is described at least The one first coincidence distance with reference to each route in route；
6th determination sub-module 1942, it is configured as referring to route with described at least one the first based on the coincidence distance Respective distance, determine the coincidence factor.
Figure 19 F are a kind of block diagrams of route recommendation device according to an exemplary embodiment five, as shown in fig. 19f, First determining module 191, including：
7th determination sub-module 1911, it is configured as being based on the start position and the route constraints, it is determined that extremely A few history route；
8th determination sub-module 1912, is configured to determine that current time；
9th determination sub-module 1913, be configured as from least one history route, it is determined that with it is described current when Between adjacent at least one history route refer to route as described at least one the first.
Figure 19 G are a kind of block diagrams of route recommendation device according to an exemplary embodiment six, as shown in Figure 19 G, First determining module 191, it may include：
Tenth determination sub-module 1914, it is configured as being based on the start position and the route constraints, it is determined that extremely A few history route；
11st determination sub-module 1915, is configured to determine that current date；
12nd determination sub-module 1916, be configured as from least one history route, it is determined that with it is described current Date adjacent at least one history route refers to route as described at least one the first.
Figure 19 H are a kind of block diagrams of route recommendation device according to an exemplary embodiment seven, as shown in Figure 19 H, Described device, it may also include：
6th determining module 196, it is configured to determine that the wind direction information of current time；
5th determining module 195, it is additionally configured to based on the wind direction information and the coincidence factor, it is described from described At least one the second with reference in route, determining the route for needing to walk.
Figure 20 A are a kind of block diagram of route recommendation device according to an exemplary embodiment, as shown in FIG. 20 A, road Line recommendation apparatus includes：
7th determining module 201, it is configured as being based on start position and route constraints, determines at least one the first ginsengs Examine route；
8th determining module 202, it is configured as being based on the start position and the route constraints, it is determined that at least one Bar programme path；
9th determining module 203, it is configured to determine that at least one programme path each with described at least one the The coincidence factor of each route in one reference route；
Tenth determining module 204, it is configured as being based on the coincidence factor, from least one programme path, it is determined that At least one recommended route.
Figure 20 B are a kind of block diagrams of route recommendation device according to an exemplary embodiment eight, as shown in fig. 20b, Tenth determining module 204, including：
3rd comparison sub-module 2041, at least one programme path described in comparison is configured as each with described at least one The coincidence factor of each route in first reference route；
13rd determination sub-module 2042, it is configured as being based on comparative result, will from least one programme path With described at least one the first with reference at least one minimum route of the coincidence factor of each route in route be defined as it is described extremely A few recommended route.
Figure 20 C are a kind of block diagrams of route recommendation device according to an exemplary embodiment nine, as shown in Figure 20 C, Tenth determining module 204, in addition to：
14th determination sub-module 2043, it is configured as at least one programme path each with described at least one When the coincidence factor of each route is identical in first reference route, it is determined that at least one planning road in default historical time The walking number of line；
15th determination sub-module 2044, it is configured as based on the number of having walked, determines at least one planning Each self-corresponding weight of route；
16th determination sub-module 2045, it is configured as being based on the weight, from least one programme path, really Fixed at least one recommended route.
Figure 20 D are a kind of block diagrams of route recommendation device according to an exemplary embodiment ten, as seen in fig. 2 od, Tenth determining module 204, in addition to：
4th comparison sub-module 2046, it is configured as each self-corresponding weight of at least one programme path described in comparison； Wherein, each self-corresponding weight of at least one programme path and corresponding number inverse correlation of having walked；
16th determination sub-module 2045, it is additionally configured to be based on comparative result, from described at least one planning road In line, at least one maximum route of weight is defined as at least one recommended route.
Figure 20 E are a kind of block diagrams of route recommendation device according to an exemplary embodiment 11, such as Figure 20 E institutes Show, the 9th determining module 203, including：
17th determination sub-module 2031, it is configured to determine that at least one programme path each with described at least one Coincidence distance of the bar first with reference to each route in route；
18th determination sub-module 2032, it is configured as based on the coincidence distance and at least one the first reference arm The respective distance of line, determines the coincidence factor.
Figure 20 F are a kind of block diagrams of route recommendation device according to an exemplary embodiment 12, such as Figure 20 F institutes Show, the 8th determining module 202, including：
19th determination sub-module 2021, is configured to determine that current time；
20th determination sub-module 2022, it is configured to determine that the traffic information of the current time；
21st determination sub-module 2023, be configured as based on the start position, the route constraints and The traffic information, determine at least one programme path.
Figure 20 G are a kind of block diagrams of route recommendation device according to an exemplary embodiment 13, such as Figure 20 G institutes Show, the 7th determining module 201, including：
22nd determination sub-module 2011, it is configured as being based on the start position and the route constraints, really Fixed at least one history route；
23rd determination sub-module 2012, is configured to determine that current time；
24th determination sub-module 2013, it is configured as from least one history route, it is determined that working as with described Preceding at least one temporally adjacent history route refers to route as described at least one the first.
Figure 20 H are a kind of block diagrams of route recommendation device according to an exemplary embodiment 14, such as Figure 20 H institutes Show, the 7th determining module 201, including：
25th determination sub-module 2014, it is configured as being based on the start position and the route constraints, really Fixed at least one history route；
26th determination sub-module 2015, is configured to determine that current date；
27th determination sub-module 2016, it is configured as from least one history route, it is determined that working as with described Adjacent at least one history route of preceding date refers to route as described at least one the first.
Figure 20 I are a kind of block diagrams of route recommendation device according to an exemplary embodiment 15, such as Figure 20 I institutes Show, described device, in addition to：
11st determining module 205, it is configured to determine that the wind direction information of current time；
Tenth determining module 204, be additionally configured to based on the wind direction information and the coincidence factor, from it is described at least In one programme path, at least one recommended route is determined.
Figure 20 J are a kind of block diagrams of route recommendation device according to an exemplary embodiment 16, such as Figure 20 J institutes Show, described device, in addition to：
Receiving module 206, it is configured as receiving the input information for being used for selecting route；
12nd determining module 207, it is configured as being based on the input information, from least one recommended route, It is determined that need the route walked.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method Embodiment in be described in detail, explanation will be not set forth in detail herein.
Figure 21 is a kind of block diagram of route recommendation device according to an exemplary embodiment.For example, device 2100 can To be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, it is good for Body equipment, personal digital assistant, Intelligent bracelet, intelligent watch etc..
Reference picture 21, device 2100 can include following one or more assemblies：Processing component 2102, memory 2104, Power supply module 2106, multimedia groupware 2108, audio-frequency assembly 2110, the interface 2112 of input/output (I/O), sensor cluster 2114, and communication component 2116.
The integrated operation of the usual control device 2100 of processing component 2102, such as communicated with display, call, data, The operation that camera operation and record operation are associated.Treatment element 2102 can include one or more processors 2120 to perform Instruction, to complete all or part of step of above-mentioned method.In addition, processing component 2102 can include one or more moulds Block, the interaction being easy between processing component 2102 and other assemblies.For example, processing component 2102 can include multi-media module, To facilitate the interaction between multimedia groupware 2108 and processing component 2102.
Memory 2104 is configured as storing various types of data to support the operation in equipment 2100.These data Example includes being used for the instruction of any application program or method operated on device 2100, contact data, telephone book data, Message, picture, video etc..Memory 2104 can by any kind of volatibility or non-volatile memory device or they Combination is realized, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), it is erasable can Program read-only memory (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash memory Reservoir, disk or CD.
Electric power assembly 2106 provides electric power for the various assemblies of device 2100.Electric power assembly 2106 can include power management System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 2100.
Multimedia groupware 2108 is included in the screen of one output interface of offer between described device 2100 and user. In some embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, Screen may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch and passed Sensor is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or slip be dynamic The border of work, but also detect the duration and pressure related to the touch or slide.In certain embodiments, it is more Media component 2108 includes a front camera and/or rear camera.When equipment 2100 is in operator scheme, mould is such as shot When formula or video mode, front camera and/or rear camera can receive outside multi-medium data.Each preposition shooting Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 2110 is configured as output and/or input audio signal.For example, audio-frequency assembly 2110 includes a wheat Gram wind (MIC), when device 2100 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone quilt It is configured to receive external audio signal.The audio signal received can be further stored in memory 2104 or via communication Component 2116 is sent.In certain embodiments, audio-frequency assembly 2110 also includes a loudspeaker, for exports audio signal.
I/O interfaces 2112 provide interface, above-mentioned peripheral interface module between processing component 2102 and peripheral interface module Can be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and Locking press button.
Sensor cluster 2114 includes one or more sensors, and the state for providing various aspects for device 2100 is commented Estimate.For example, sensor cluster 2114 can detect opening/closed mode of equipment 2100, the relative positioning of component, such as institute The display and keypad that component is device 2100 are stated, sensor cluster 2114 can be with detection means 2100 or device 2,100 1 The position of individual component changes, the existence or non-existence that user contacts with device 2100, the orientation of device 2100 or acceleration/deceleration and dress Put 2100 temperature change.Sensor cluster 2114 can include proximity transducer, be configured in no any physics The presence of object nearby is detected during contact.Sensor cluster 2114 can also include optical sensor, as CMOS or ccd image are sensed Device, for being used in imaging applications.In certain embodiments, the sensor cluster 2114 can also include acceleration sensing Device, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 2116 is configured to facilitate the communication of wired or wireless way between device 2100 and other equipment.Dress The wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof can be accessed by putting 2100.It is exemplary at one In embodiment, communication component 2116 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel Information.In one exemplary embodiment, the communication component 2116 also includes near-field communication (NFC) module, to promote short distance Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module (UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 2100 can be by one or more application specific integrated circuits (ASIC), numeral Signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided Such as include the memory 2104 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 2120 of device 2100.Example Such as, the non-transitorycomputer readable storage medium can be ROM, it is random access memory (RAM), CD-ROM, tape, soft Disk and optical data storage devices etc..
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice disclosure disclosed herein Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.

Claims (40)

  1. A kind of 1. route recommendation method, it is characterised in that methods described includes：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Determine current location point；
    If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing location point At least one the second for starting point refer to route；
    Determine described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor；
    Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
  2. 2. according to the method for claim 1, it is characterised in that it is described to be based on the coincidence factor, from described at least one the In two reference routes, it is determined that the route walked is needed, including：
    Compare described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor；
    , will be with described at least one the first with reference in route from described at least one the second with reference in route based on comparative result The minimum route of the coincidence factor of each route is defined as the route for needing to walk.
  3. 3. according to the method for claim 2, it is characterised in that described at least one the second with reference to route each After the described at least one the first coincidence factors with reference to each route in route, in addition to：
    If described at least one the second with reference to route each with described at least one the first with reference to each route in route weight Conjunction rate is identical, it is determined that described at least one the second with reference to the respective corresponding number of having walked of route in default historical time；
    Based on the number of having walked, described at least one the second are determined with reference to the respective corresponding weight of route；
    Based on the weight, from described at least one the second with reference in route, determining the route for needing to walk.
  4. 4. according to the method for claim 3, it is characterised in that it is described to be based on the weight, from described at least one the second With reference in route, determine it is described need the route walked, including：
    Compare described at least one the second with reference to the respective corresponding weight of route；Wherein, described at least one the second route is referred to Each self-corresponding weight and corresponding number inverse correlation of having walked；
    Based on comparative result, from described at least one the second with reference in route, the maximum route of weight is defined as the needs The route of walking.
  5. 5. according to the method for claim 1, it is characterised in that it is described determine described at least one the second with reference to route each With described at least one the first with reference to each route in route coincidence factor, including：
    Determine described at least one the second with reference to route each with described at least one the first with reference to each route in route Overlap distance；
    The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
  6. 6. according to the method for claim 1, it is characterised in that it is described to be based on start position and route constraints, it is determined that At least one the first refer to route, including：
    Based on the start position and the route constraints, at least one history route is determined；
    Determine current time；
    From at least one history route, it is determined that described at least one history route conduct adjacent with the current time At least one the first refer to route.
  7. 7. according to the method for claim 1, it is characterised in that it is described to be based on start position and route constraints, it is determined that At least one the first refer to route, including：
    Based on the start position and the route constraints, at least one history route is determined；
    Determine current date；
    From at least one history route, it is determined that described at least one history route conduct adjacent with the current date At least one the first refer to route.
  8. 8. according to the method for claim 1, it is characterised in that it is described to be based on the coincidence factor, from described at least one the In two reference routes, it is determined that before the route that needs are walked, in addition to：
    Determine the wind direction information of current time；
    It is described to be based on the coincidence factor, from described at least one the second with reference in route, it is determined that the route walked is needed, including：
    Based on the wind direction information and the coincidence factor, it is described from described at least one the second with reference in route, determine the need The route to be walked.
  9. A kind of 9. route recommendation method, it is characterised in that methods described includes：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Based on the start position and the route constraints, at least one programme path is determined；
    Determine that at least one programme path each overlaps with described at least one the first with reference to each route in route Rate；
    Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
  10. 10. according to the method for claim 9, it is characterised in that it is described to be based on the coincidence factor, from described at least one rule Draw in route, determine at least one recommended route, including：
    Compare at least one programme path each to overlap with reference to each route in route with described at least one the first Rate；
    , will be with described at least one the first with reference to each in route from least one programme path based on comparative result At least one minimum route of the coincidence factor of bar route is defined as at least one recommended route.
  11. 11. according to the method for claim 10, it is characterised in that at least one programme path each with After described at least one the first coincidence factors with reference to each route in route, in addition to：
    If at least one programme path each with described at least one the first with reference to each route in route coincidence factor It is identical, it is determined that the walking number of at least one programme path in default historical time；
    Based on the number of having walked, each self-corresponding weight of at least one programme path is determined；
    Based on the weight, from least one programme path, at least one recommended route is determined.
  12. 12. according to the method for claim 11, it is characterised in that it is described to be based on the weight, from described at least one rule Draw in route, determine at least one recommended route, including：
    Compare each self-corresponding weight of at least one programme path；Wherein, at least one programme path is each right The weight answered and corresponding number inverse correlation of having walked；
    Based on comparative result, from least one programme path, at least one maximum route of weight is defined as described At least one recommended route.
  13. 13. according to the method for claim 9, it is characterised in that it is described determine at least one programme path each with Described at least one the first with reference to each route in route coincidence factor, including：
    Determine that at least one programme path each overlaps with described at least one the first with reference to each route in route Distance；
    The respective distance of route is referred to described at least one the first based on the coincidence distance, determines the coincidence factor.
  14. 14. according to the method for claim 9, it is characterised in that described to be constrained based on the start position and the route Condition, at least one programme path is determined, including：
    Determine current time；
    Determine the traffic information of the current time；
    Based on the start position, the route constraints and the traffic information, at least one planning road is determined Line.
  15. 15. according to the method for claim 9, it is characterised in that it is described to be based on start position and route constraints, it is determined that At least one the first refer to route, including：
    Based on the start position and the route constraints, at least one history route is determined；
    Determine current time；
    From at least one history route, it is determined that described at least one history route conduct adjacent with the current time At least one the first refer to route.
  16. 16. according to the method for claim 9, it is characterised in that it is described to be based on start position and route constraints, it is determined that At least one the first refer to route, including：
    Based on the start position and the route constraints, at least one history route is determined；
    Determine current date；
    From at least one history route, it is determined that described at least one history route conduct adjacent with the current date At least one the first refer to route.
  17. 17. according to the method for claim 9, it is characterised in that it is described to be based on the coincidence factor, from described at least one rule Draw in route, before determining at least one recommended route, in addition to：
    Determine the wind direction information of current time；
    It is described to be based on the coincidence factor, from least one programme path, at least one recommended route is determined, including：
    Based on the wind direction information and the coincidence factor, from least one programme path, at least one recommendation road is determined Line.
  18. 18. according to the method for claim 9, it is characterised in that it is described to be based on the coincidence factor, from described at least one rule Draw in route, after determining at least one recommended route, in addition to：
    Receive the input information for selecting route；
    Based on the input information, from least one recommended route, it is determined that needing the route walked.
  19. 19. a kind of route recommendation device, it is characterised in that described device includes：
    First determining module, it is configured as being based on start position and route constraints, determines that at least one the first refer to route；
    Second determining module, it is configured to determine that current location point；
    3rd determining module, the distance being configured as between the current location point and crossing location point are less than pre-determined distance When, it is determined that referring to route using the crossing location point as at least one the second of starting point；
    4th determining module, be configured to determine that described at least one the second with reference to route each with least one the first ginseng Examine the coincidence factor of each route in route；
    5th determining module, it is configured as being based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing The route of walking.
  20. 20. device according to claim 19, it is characterised in that the 5th determining module, including：
    First comparison sub-module, at least one the second are configured as described in comparison with reference to route each with described at least one the first With reference to the coincidence factor of each route in route；
    First determination sub-module, be configured as being based on comparative result, from described at least one the second with reference in route, will with it is described At least one the first are defined as the route for needing to walk with reference to the minimum route of the coincidence factor of each route in route.
  21. 21. device according to claim 20, it is characterised in that the 5th determining module, in addition to：
    Second determination sub-module, be configured as described at least one the second with reference to route each with least one the first ginseng Examine each route in route coincidence factor it is identical when, it is determined that described at least one the second referring to route in default historical time Each self-corresponding number of having walked；
    3rd determination sub-module, it is configured as based on the number of having walked, determines that described at least one the second is each with reference to route Self-corresponding weight；
    4th determination sub-module, it is configured as being based on the weight, from described at least one the second with reference in route, it is determined that described Need the route walked.
  22. 22. device according to claim 21, it is characterised in that the 5th determining module, in addition to：
    Second comparison sub-module, at least one the second are configured as described in comparison with reference to the respective corresponding weight of route；Wherein, institute At least one the second are stated with reference to route each corresponding weight and corresponding number inverse correlation of having walked；
    4th determination sub-module, it is additionally configured to be based on comparative result, will from described at least one the second with reference in route The maximum route of weight is defined as the route for needing to walk.
  23. 23. device according to claim 19, it is characterised in that the 4th determining module, including：
    5th determination sub-module, be configured to determine that described at least one the second with reference to route each with described at least one the first With reference to the coincidence distance of each route in route；
    6th determination sub-module, it is configured as based on the coincidence distance with described at least one the first with reference to the respective road of route Journey, determine the coincidence factor.
  24. 24. device according to claim 19, it is characterised in that first determining module, including：
    7th determination sub-module, it is configured as being based on the start position and the route constraints, determines that at least one goes through History route；
    8th determination sub-module, is configured to determine that current time；
    9th determination sub-module, it is configured as from least one history route, it is determined that adjacent with the current time At least one history route refers to route as described at least one the first.
  25. 25. device according to claim 19, it is characterised in that first determining module, including：
    Tenth determination sub-module, it is configured as being based on the start position and the route constraints, determines that at least one goes through History route；
    11st determination sub-module, is configured to determine that current date；
    12nd determination sub-module, it is configured as from least one history route, it is determined that adjacent with the current date At least one history route refer to route as described at least one the first.
  26. 26. device according to claim 19, it is characterised in that described device, in addition to：
    6th determining module, it is configured to determine that the wind direction information of current time；
    5th determining module, it is additionally configured to based on the wind direction information and the coincidence factor, it is described from described at least one In the reference route of bar second, the route for needing to walk is determined.
  27. 27. a kind of route recommendation device, it is characterised in that described device includes：
    7th determining module, it is configured as being based on start position and route constraints, determines that at least one the first refer to route；
    8th determining module, it is configured as being based on the start position and the route constraints, determines at least one planning Route；
    9th determining module, be configured to determine that at least one programme path each with least one the first reference arm The coincidence factor of each route in line；
    Tenth determining module, it is configured as being based on the coincidence factor, from least one programme path, determines at least one Recommended route.
  28. 28. device according to claim 27, it is characterised in that the tenth determining module, including：
    3rd comparison sub-module, be configured as at least one programme path described in comparison each with least one the first reference The coincidence factor of each route in route；
    13rd determination sub-module, be configured as being based on comparative result, from least one programme path, will with it is described extremely At least one minimum route of few one first coincidence factor with reference to each route in route, which is defined as described at least one, to be pushed away Recommend route.
  29. 29. device according to claim 28, it is characterised in that the tenth determining module, in addition to：
    14th determination sub-module, be configured as at least one programme path each with least one the first reference When the coincidence factor of each route is identical in route, it is determined that at least one programme path has been gone in the default historical time Walk number；
    15th determination sub-module, it is configured as, based on the number of having walked, determining each of at least one programme path Self-corresponding weight；
    16th determination sub-module, be configured as being based on the weight, from least one programme path, it is determined that it is described extremely A few recommended route.
  30. 30. device according to claim 29, it is characterised in that the tenth determining module, in addition to：
    4th comparison sub-module, it is configured as each self-corresponding weight of at least one programme path described in comparison；Wherein, it is described Each self-corresponding weight of at least one programme path and corresponding number inverse correlation of having walked；
    16th determination sub-module, it is additionally configured to be based on comparative result, from least one programme path, will weighs At least one maximum route of weight is defined as at least one recommended route.
  31. 31. device according to claim 27, it is characterised in that the 9th determining module, including：
    17th determination sub-module, be configured to determine that at least one programme path each with least one the first ginseng Examine the coincidence distance of each route in route；
    18th determination sub-module, it is configured as referring to route with described at least one the first based on the coincidence distance respective Distance, determine the coincidence factor.
  32. 32. device according to claim 27, it is characterised in that the 8th determining module, including：
    19th determination sub-module, is configured to determine that current time；
    20th determination sub-module, it is configured to determine that the traffic information of the current time；
    21st determination sub-module, it is configured as being based on the start position, the route constraints and the road conditions Information, determine at least one programme path.
  33. 33. device according to claim 27, it is characterised in that the 7th determining module, including：
    22nd determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that at least one Bar history route；
    23rd determination sub-module, is configured to determine that current time；
    24th determination sub-module, be configured as from least one history route, it is determined that with the current time phase At least one adjacent history route refers to route as described at least one the first.
  34. 34. device according to claim 27, it is characterised in that the 7th determining module, including：
    25th determination sub-module, it is configured as being based on the start position and the route constraints, it is determined that at least one Bar history route；
    26th determination sub-module, is configured to determine that current date；
    27th determination sub-module, be configured as from least one history route, it is determined that with the current date phase At least one adjacent history route refers to route as described at least one the first.
  35. 35. device according to claim 27, it is characterised in that described device, in addition to：
    11st determining module, it is configured to determine that the wind direction information of current time；
    Tenth determining module, it is additionally configured to based on the wind direction information and the coincidence factor, from described at least one rule Draw in route, determine at least one recommended route.
  36. 36. device according to claim 27, it is characterised in that described device, in addition to：
    Receiving module, it is configured as receiving the input information for being used for selecting route；
    12nd determining module, it is configured as being based on the input information, from least one recommended route, it is determined that needing The route of walking.
  37. 37. a kind of route recommendation device, it is characterised in that described device includes：
    Processor；
    For storing the memory of processor-executable instruction；
    Wherein, the processor is configured as：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Determine current location point；
    If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing location point At least one the second for starting point refer to route；
    Determine described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor；
    Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
  38. 38. a kind of route recommendation device, it is characterised in that described device includes：
    Processor；
    For storing the memory of processor-executable instruction；
    Wherein, the processor is configured as：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Based on the start position and the route constraints, at least one programme path is determined；
    Determine that at least one programme path each overlaps with described at least one the first with reference to each route in route Rate；
    Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
  39. 39. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program Following steps are realized when being executed by processor：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Determine current location point；
    If the distance between the current location point and crossing location point are less than pre-determined distance, it is determined that with the crossing location point At least one the second for starting point refer to route；
    Determine described at least one the second with reference to route each with described at least one the first with reference to each route in route Coincidence factor；
    Based on the coincidence factor, from described at least one the second with reference in route, it is determined that needing the route walked.
  40. 40. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program Following steps are realized when being executed by processor：
    Based on start position and route constraints, determine that at least one the first refer to route；
    Based on the start position and the route constraints, at least one programme path is determined；
    Determine that at least one programme path each overlaps with described at least one the first with reference to each route in route Rate；
    Based on the coincidence factor, from least one programme path, at least one recommended route is determined.
CN201711051712.6A 2017-10-31 2017-10-31 Route recommendation method and device Pending CN107832394A (en)

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