CN111578952A - Multi-terminal navigation method and equipment - Google Patents
Multi-terminal navigation method and equipment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3423—Multimodal routing, i.e. combining two or more modes of transportation, where the modes can be any of, e.g. driving, walking, cycling, public transport
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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Abstract
The invention discloses a multi-terminal navigation method and equipment, wherein the method comprises the following steps: when the server receives a navigation request from the first terminal, judging whether a navigation destination of the navigation request is associated with a recommendable walking navigation terminal; if so, waiting for the first terminal to report the current position when the navigation stops running and judging whether the current position is located in the predicted parking range or not and whether the time point when the navigation stops running is located in the recommendable time period or not; if yes, sending recommendation information which can recommend the walking navigation terminal to a second terminal associated with the first terminal. According to the method and the device, when the walking navigation terminal point is recommended, whether the recommended information needs to be sent is determined according to the recommended walking navigation terminal point and the predicted parking range, a navigation mode that multiple terminals are connected is achieved, the accuracy of information pushing is improved, and therefore customer experience is improved.
Description
Technical Field
The invention relates to the field of electronic technology and automobile navigation, in particular to a multi-terminal navigation method and equipment.
Background
With the development of modern electronic technology and the extensive application in the automotive field, the navigation technology is becoming more mature, and users have a demand for using a plurality of terminals for navigation. For example, after a user drives a car and navigates to a parking lot, the parking lot may be far away from a final destination and easily get lost, so that the user needs to use a mobile phone to perform walking navigation after getting off the car. Especially, outdoor scenic spots, large outdoor music festivals and large amusement parks can frequently meet the demand. There are two main solutions available:
according to the first scheme, after a user navigates to a destination by using a box client, the user opens the box client to preset according to historical statistical data, and needs to input the destination by using a mobile phone and select walking navigation. However, the first scheme has the following disadvantages: the middle has more than 5 steps of operation, and the user operation is troublesome.
And in the second scheme, the user finishes navigation when the driving navigation is 700 meters away from the destination, a notification is automatically sent to the mobile phone end of the user, and the user can initiate walking navigation from the current position to the set destination after clicking. But the disadvantage of the second scheme is that: the recommendation accuracy is poor, the requirement scene and the intention of the user cannot be accurately judged, most of recommendation notifications are not needed by the user, the efficiency of the user is not improved, and a lot of disturbance is brought to the contrary. In the past, the user can reduce the trust of the product and close the recommendation notice.
Disclosure of Invention
In view of technical defects and technical drawbacks in the prior art, embodiments of the present invention provide a multi-terminal navigation method and apparatus for solving a multi-terminal navigation problem, and in particular, a navigation connection problem between a car box client and a mobile phone client.
As an aspect of an embodiment of the present invention, a multi-terminal navigation method is related, including:
when receiving a navigation request from a first terminal, a server judges whether a navigation destination of the navigation request is associated with a recommendable walking navigation terminal;
if the judgment result is yes, waiting for the first terminal to report the current position when the navigation stops running;
when the current position is received, judging whether the current position is located in a predicted parking range;
if so, sending recommendation information of the recommendable walking navigation destination to a second terminal associated with the first terminal;
wherein the recommended walking navigation destination and the predicted parking range are preset based on historical statistical data of walking navigation at the navigation destination.
As a second aspect of the embodiments of the present invention, a server for implementing multi-terminal navigation is provided, including:
the system comprises an association judging module, a navigation processing module and a display module, wherein the association judging module is used for judging whether a navigation destination of a navigation request is associated with a recommendable walking navigation terminal point when the navigation request from a first terminal is received;
the position receiving module is used for receiving the current position reported by the first terminal when the navigation destination is judged to be associated with the recommendable walking navigation terminal point by the association judging module;
the range judging module is used for judging whether the current position is positioned in a predicted parking range or not when the position receiving module receives the current position;
the information pushing module is used for sending recommendation information of the recommendable walking navigation destination to a second terminal associated with the first terminal when the range judging module judges that the current position is located in a predicted parking range;
and the presetting module is used for presetting the recommended walking navigation terminal and the predicted parking range according to the historical statistical data of the walking navigation at the navigation destination.
As a third aspect of the embodiments of the present invention, it relates to a computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the above-described method.
As a fourth aspect of the embodiments of the present invention, it relates to a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method as described above when executing the program.
The embodiment of the invention at least realizes the following technical effects: according to the embodiment of the invention, whether the navigation destination of the navigation request is associated with the recommendable walking navigation terminal is judged in advance, whether the current position of the vehicle is within the predicted parking range and whether the parking time is within the recommendable time period are judged after parking, and the requirement of the user for using the walking navigation is further converged, so that the disturbance brought to the user by invalid recommendation and wrong recommendation is reduced. Compared with the method that the mobile phone terminal is opened after the first terminal is quitted, the operation is simpler, more convenient and faster; compared with a fixed distance triggering condition, the method further reduces invalid pushing, provides effective hit rate, improves the practicability of multi-terminal navigation and enhances user experience.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a multi-terminal navigation method according to an embodiment of the present invention;
FIG. 2 is a detailed flowchart of step 100 in FIG. 1;
FIG. 3A is a schematic diagram illustrating an AOI provided by an embodiment of the present invention;
FIG. 3B is a schematic diagram illustrating an example of a POI provided by an embodiment of the present invention;
4A-4C are exemplary diagrams illustrating the determination of the predicted stopping range in step 140 of FIG. 2;
FIG. 5 is a flowchart illustrating an example of determining a recommendable time period in steps 152-153 of FIG. 2;
fig. 6 is a schematic structural diagram of a server for implementing multi-terminal navigation according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Example 1
The embodiment provides a multi-terminal navigation method. The multi-terminal navigation is that the navigation processes of at least two terminals are connected, and when the navigation of one terminal is finished, the other terminal is continuously used for navigation, so that the user experience is improved.
In this embodiment, an application scenario in which a user continues to use a mobile phone client to navigate until reaching a walking navigation end point after using a car box client to navigate is taken as an example for description. The vehicle box client is arranged on the vehicle-mounted navigation equipment and serves as a first terminal; the mobile phone client is arranged on the mobile phone navigation equipment and serves as a second terminal; the walking navigation end point refers to a destination which cannot be reached by a vehicle input during walking navigation by using the mobile phone navigation equipment, such as a ticket selling place in a scenic spot, a certain market in a walking street, a certain scenic spot in a park, and the like.
As shown in fig. 1, the method may include the steps of:
and step 100, presetting a recommended walking navigation terminal and a predicted parking range for a navigation destination according to historical statistical data.
The historical statistical data is obtained by counting the behavior data related to the stop of the navigation at the navigation destination and the initiation of the walking navigation in a past historical time period. Since the behavior of navigation stop is executed by the car-box client, the behavior of walking navigation initiation is executed by the mobile phone client, and the car-box client and the mobile phone client are both provided by an operator providing navigation service, the behavior data can be obtained from a database of the operator for statistical use. The specific setting process will be described in detail later with reference to fig. 2.
Specifically, when the user needs to navigate during driving, the user inputs a navigation destination in the car box client. The navigation destination may be an Area Of Interest (AOI), i.e., a geographic entity in the form Of an Area in the map data, for example, as shown in fig. 3A, the navigation destination input by the user in the car box client is "altar park", and displayed on the navigation map is AOI Of the altar park; in addition, the navigation destination may also be a Point of Interest (POI), for example, as shown in fig. 3B, the navigation destination input by the user at the car box client is "north gate of the altar park", and a specific location of the north gate of the altar park is displayed on the navigation map. The AOI may include POIs, and the POIs may include child points of interest, grandchild points of interest, and the like. Whether they are AOI or POI, they all belong to the same navigation destination.
And then, the car box client sends a navigation request containing the navigation destination to the server side, and the server side starts navigation according to the navigation request. The specific navigation process may adopt any existing navigation mode, and is not described herein again.
In step 300, the server determines whether the navigation destination is associated with a recommendable walking navigation destination.
The recommended walking navigation end point is preset according to the historical statistical data in the step 100. Each navigation destination is set with a walking navigation end point. The server side refers to a server for executing the recommendation method, and may be one server or a distributed group of servers, may be a local server or a cloud server, and may belong to a different server or the same server as the server side that executes the setting process in step 100 and the server that executes the navigation process in step 200.
The judgment in this step mainly has two purposes: one is to determine the destination of the user, and if the destination of the user is not a place where a recommended walking navigation destination is preset in step 100, recommendation information should not be sent to the user even if the vehicle driven by the user is parked near the place, since the user may just pass by or stop temporarily without intending to go to the place, the recommendation information is redundant to the user, and no recommendation should be made.
And secondly, judging whether the navigation destination is associated with a recommendable walking navigation terminal. If the navigation destination inputted by the user is not associated with the recommendable walking navigation destination, no recommendation information can be sent to the user, and the recommendation process can be ended as early as possible at the moment, so that the system overhead is saved.
If the judgment result is yes, namely the navigation destination is associated with a recommended walking navigation end point, waiting for the current position reported by the vehicle box client when the navigation stops running; if the judgment result is negative, namely the navigation destination is not associated with a recommendable walking navigation terminal, the recommendation process is ended.
In step 400, the server determines whether the current position is within the predicted parking range.
And the current position is the geographic position of the parking of the user reported by the vehicle box client through a positioning device carried in the navigation equipment when the navigation stops running. The navigation stop operation means that the car box client is not used for navigation, and comprises the situations that the car box client navigation is finished, the car box client is shut down, the car is flameout and the like. The predicted parking range is set in advance in step 100.
If the judgment result is yes, that is, the current position is within the predicted parking range, the step 500 is continuously executed, otherwise, the recommendation process is ended.
The recommendable time period is a time period allowed to send a recommendation message, and may be preset in step 100, for example, 9:00-18: 00. The user who initiates walking navigation outside the recommendable time period is likely to be a temporarily visited clerk rather than a regular visitor, which may interfere with sending the recommendation. Therefore, the recommendable time period is set to improve the accuracy of sending the recommendation information.
It should be noted here that this step is to implement more accurate and efficient pushing of recommendation information, however, in some scenarios, if it is known in advance that the navigation destination is normally open all day long, and there is a possibility that a user visits at any time, this step may be omitted.
For example, if the navigation destination is a concert hall having a performance all day long, a movie theater showing a movie all day long, or a free park open all day long, it is not necessary to set a recommendable time period in step 100 in advance, and accordingly, it is not necessary to perform the determination of this step.
And step 600, the server side sends the recommendation information of the recommendable walking navigation terminal to the mobile phone client side associated with the car box client side.
The vehicle box client and the associated mobile phone terminal refer to a vehicle box client and a mobile phone client which log in by using the same account number. Since the car-box client and the mobile phone client are both provided by an operator providing navigation service, the server can determine which car-box client is associated with which mobile phone client by logging in with the same account.
Specifically, the recommendation information includes position information of a recommendable walking navigation end point in an electronic map. For example, MQTT (Message Queuing Telemetry Transport) is used to send recommendation information. MQTT is an instant messaging protocol developed by IBM corporation, an important component of the internet of things, and is a communication protocol that can support all platforms, connect almost all networked items to the outside, and be used as a sensor and an actuator, such as networking houses through Twitter (Twitter).
Optionally, if the distance from the recommended walking navigation end point to the current position reported by the car box client when the navigation stops running is very short, for example, the walking navigation is in a range of about 1km, or the walking navigation time is within 5min, and the user is likely to reach the recommended walking navigation end point without walking navigation, the recommended information may not be sent, that is, the step is not executed. Of course, the complexity of the terrain is also taken into account.
Specifically, the mobile phone client can display the notification message on a mobile phone screen after receiving the notification message containing the recommendation information, and the user initiates navigation after clicking the notification message and sends a walking navigation request to the server; the server side plans a walking navigation route according to the received walking navigation request and instructs the mobile phone client side to start walking navigation; and the user walks to the recommended walking navigation terminal according to the navigation route displayed on the screen of the mobile phone.
Optionally, the server side may send the recommendation information to the mobile phone client side, and may also send the recommendation information to the car box client side, and the car box client side may send a voice prompt according to the recommendation information, so that the user may more conveniently know the relevant information of the recommended walking navigation end point.
Referring to fig. 2, a specific process performed in advance according to the historical statistical data in the step 100 is described in detail below, and as shown in the figure, the specific process includes the following steps:
and 110, counting the navigation stop times of navigation stop operation at the same parking point of the navigation destination in a preset historical time period, and the walking navigation initiation times of walking navigation initiation in a preset time period after the navigation stop operation.
The historical time period may be the last week, the last month, or the like, and may be updated continuously as time goes on. The parking spot refers to a position of a vehicle parked at a navigation destination in an electronic map, as described above, a box client in the vehicle-mounted device is provided by an operator providing navigation service, and therefore, when the box client on a certain vehicle stops navigation, a server on the operator side can detect a behavior of stopping the navigation and the position of the vehicle in the electronic map, and mark the position as a parking spot, and the number of times of stopping the navigation of the box client on the same vehicle parked at the parking spot is counted as the number of times of stopping the navigation at the parking spot.
The preset time period is 10 minutes, for example, in a vehicle that has been parked at the same parking spot, a user of some vehicles logs in the mobile phone client by using the same account within 10 minutes after the navigation of the car box client stops running, and initiates walking navigation by using the mobile phone client. As described above, since the mobile phone client is also provided by the operator who provides the navigation service, the server on the operator side can detect the behavior of initiating the walking navigation, and count the number of times of the behavior to obtain the number of times of initiating the walking navigation at the parking spot.
And step 120, judging whether the ratio of the walking navigation initiation times to the navigation stop times is higher than a preset requirement threshold value. If yes, go to step 131, determine the parking spot as a parking spot with demand; if not, step 132 is executed to determine the parking spot as a no-demand parking spot.
Wherein the demand threshold is, for example, 20%; the parking spot with the requirement indicates that the vehicle parked at the parking spot has the requirement for initiating the walking navigation; the no-demand parking spot indicates that the vehicle parked at the parking spot does not have a need to initiate pedestrian navigation.
For example, in fig. 4A-4C, it is assumed that, among the vehicles parked in the M-th parking space near the altar, it is counted that 25% of the vehicle box clients on the vehicles initiate walking navigation through the associated mobile phone client after the navigation stops, and therefore the M-th parking space is determined as a parking spot with demand; and the statistical result of the parking space N is only 10%, so that the parking space N is determined as a no-demand parking spot. By analogy, all parking spaces with navigation stop behavior in the graph are subjected to statistical calculation, parking points with requirements are represented by gray circles, parking points without requirements are represented by white circles, and the parking point distribution graph shown in the graph is formed.
And 140, determining the minimum continuous area covering the parking points with the demand at a preset first concentration ratio or more as the predicted parking range.
The first concentration ratio is the proportion of the parking spots with the demand in a certain continuous area to all the parking spots with the demand. For example, the first concentration may be set to 80%. As shown in fig. 4A to 4C, in which the first concentration of three continuous regions circled by the curves are all 80% or more, but in which the area of the continuous region in fig. 4B is the smallest, the range of the continuous region shown in fig. 4B is determined as the predicted parking range.
And 150, determining the end point of the walking navigation initiated at the parking point with the requirement as the end point with the requirement.
For example, suppose that a user logs in a mobile phone client to start walking navigation by using the same account after navigation stops running at a certain parking box client needing parking at a parking spot, and inputs an end point of the walking navigation, for example, some end points 1 input by the user are "Temple park ticket office", some end points 2 input by the user are "Temple park north Tianmen", some end points 3 input by the user are "Temple park hundred gardens", and the like, and all the end points are end points needing parking.
The required terminal with the highest navigation frequency refers to a terminal with the highest navigation frequency in the detected walking navigation terminals input into the mobile phone client. For example, as shown in table 1, data statistically derived over the past month that initiates walking navigation at all required parking spots near the Temple park.
TABLE 1
As can be seen from table 1, the number of times that the "day altar park ticket office" is used as a required terminal is the highest, so the "day altar park ticket office" is selected as a recommendable walking navigation terminal of the day altar park.
And step 152, determining the time point when the recommendable walking navigation end point is initiated to be a time point with demand.
For example, as shown in fig. 5, statistical data of a time point when the electronic map user navigates on foot at "day altar park" using a mobile phone terminal associated with car box client navigation to go to "day altar park ticket office" determined as a recommendable walking navigation end point in the previous step is collected within the past week, and the time point is marked on the time axis by a circle filled with a grid.
And step 153, taking the minimum continuous time period covering the demanded time points with the second concentration ratio which is greater than or equal to the preset concentration ratio as a recommendable time period.
The second concentration ratio is a ratio of the demand time points divided into the continuous time periods to all the demand time points, for example, the second concentration ratio may be set to 80%, as long as the continuous time periods with the concentration ratio greater than or equal to 80% are all alternative time periods, and the minimum continuous time period is selected from the time periods as the recommendable time period.
For example, as shown in fig. 5, the time periods 1 to 1 all satisfy the condition that the concentration ratio is equal to or greater than 80%, but the time period 1 (i.e., 9:00 to 18:00) is the smallest continuous time period, and thus the time period 1 is determined as the recommendable time period.
Alternatively, as previously described, if it is known in advance that the navigation destination is normally open throughout the day, and there is a possibility that the user visits at any time period, the process of determining the recommendable time period in steps 152-153 may be omitted.
In addition, other methods besides steps 152-153 may also be employed in determining the recommendable time period. For example, the business hours of the navigation destination can be directly determined as the recommendable time period, and the process of statistical calculation is omitted.
The embodiment of the invention realizes multi-terminal navigation by automatically sending the recommendation information of the recommended walking navigation end point to the associated mobile phone client after the navigation of the car box client stops running, and compared with the prior art that the mobile phone terminal is manually opened to carry out walking navigation after the car box client is quitted, the operation is simpler, more convenient and faster; and whether the navigation destination of the navigation request is associated with a recommendable walking navigation end point or not is judged in advance, whether the current position of the vehicle is located in a predicted parking range or not and whether the parking time is located in a recommendable time period or not are judged after parking, and the requirement of the user for using walking navigation is further converged, so that the disturbance brought to the user by invalid recommendation and wrong recommendation is reduced.
Example 2
The embodiment provides a server for realizing multi-terminal navigation, which may be one server or a distributed group of servers, and may be a local server or a cloud server.
In this embodiment, an application scenario in which a user continues to use a mobile phone client to navigate until reaching a walking navigation end point after using a car box client to navigate is taken as an example for description. The vehicle box client is arranged on the vehicle-mounted navigation equipment and serves as a first terminal; the mobile phone client is arranged on the mobile phone navigation equipment and serves as a second terminal.
As shown in fig. 6, the server may include: the preset module 10, the association judging module 20, the position receiving module 30, the range judging module 40 and the information pushing module 50 work according to the following working principles:
the presetting module 10 presets a recommended walking navigation end point and a predicted parking range according to historical statistical data of walking navigation at the navigation destination. Specifically, counting the number of navigation stop times of navigation stop operation at the same parking spot of the navigation destination within a preset historical time period, and the number of pedestrian navigation initiation times of initiation of pedestrian navigation within a preset time period after the navigation stop operation; judging whether the ratio of the walking navigation initiation times to the navigation stop times is higher than a preset requirement threshold value or not; determining a parking point higher than the demand threshold value as a demanded parking point, and determining a minimum continuous area covering the demanded parking point with a first concentration ratio greater than or equal to a preset concentration ratio as the predicted parking range; and determining the terminal point of the walking navigation initiated at the parking point with the requirement as the terminal point with the requirement, and determining the terminal point with the requirement and the highest navigation times as the terminal point of the recommendable walking navigation.
Optionally, when determining whether the navigation destination is associated with a recommendable walking navigation end point, if the navigation destination is an interest plane, determining whether the interest plane includes the recommendable walking navigation end point; and if the navigation destination is an interest point, judging whether the interest plane of the interest point contains the recommended walking navigation terminal point.
When a user starts navigation during driving, a navigation destination input to a car box client in the vehicle-mounted equipment is sent to the server; when the server receives a navigation request from a car box client, the association judgment module 20 judges whether a navigation destination of the navigation request is associated with a recommendable walking navigation destination; if the association judging module 20 judges that the navigation destination of the navigation request is associated with a recommendable walking navigation destination, the position receiving module 30 receives the current position reported by the vehicle box client when the navigation stops running.
When the position receiving module 30 receives the current position, the range determining module 40 determines whether the current position is within a predicted parking range; when the range judgment module 40 judges that the current position is within the predicted parking range, the information push module 50 sends recommendation information of the recommendable walking navigation destination to a mobile phone client associated with the car box client; and the user initiates walking navigation on the mobile phone client according to the recommendation information, and walks to the recommended walking navigation terminal.
Optionally, the preset module may further determine, after determining the end point of the walking navigation initiated at the parking point with demand as the end point with demand, a time point when the recommended walking navigation end point is initiated as the time point with demand, and determine, as the recommendable time period, a minimum continuous time period that covers the time point with demand at a second concentration that is greater than or equal to a preset concentration. Correspondingly, the information pushing module sends the recommendation information of the recommendable walking navigation destination in the recommendable time period.
For the technical effects and the related examples of the device of this embodiment, reference may be made to the related contents of the method embodiments described above, and details are not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (12)
1. A multi-terminal navigation method is characterized by comprising the following steps:
when receiving a navigation request from a first terminal, a server judges whether a navigation destination of the navigation request is associated with a recommendable walking navigation terminal;
if the judgment result is yes, waiting for the current position reported by the first terminal when the navigation stops running;
when the current position is received, judging whether the current position is located in a predicted parking range;
if so, sending recommendation information of the recommendable walking navigation destination to a second terminal associated with the first terminal;
wherein the recommended walking navigation destination and the predicted parking range are preset based on historical statistical data of walking navigation at the navigation destination.
2. The method of claim 1, wherein presetting the recommendable walking navigation endpoint and the predicted parking range based on the historical statistical data comprises:
counting the navigation stop times of navigation stop at the same parking point of the navigation destination in a preset historical time period, and the walking navigation initiation times of initiating walking navigation in a preset time period after the navigation stop;
judging whether the ratio of the walking navigation initiation times to the navigation stop times is higher than a preset requirement threshold value or not;
determining a parking point higher than the demand threshold value as a demanded parking point, and determining a minimum continuous area covering the demanded parking point with a first concentration ratio greater than or equal to a preset concentration ratio as the predicted parking range;
and determining the terminal point of the walking navigation initiated at the parking point with the requirement as the terminal point with the requirement, and determining the terminal point with the requirement and the highest navigation times as the terminal point of the recommendable walking navigation.
3. The method of claim 2, wherein determining an endpoint of the walking navigation initiated at the on-demand parking point as an on-demand endpoint further comprises:
determining a time point when the recommendable walking navigation end point is initiated to be a time point with demand;
and determining the minimum continuous time period covering the demanded time points with the second concentration ratio which is greater than or equal to the preset concentration ratio as the recommendable time period.
4. The method of claim 3, wherein sending the recommendation information for the recommendable walking navigation endpoint comprises: and sending recommendation information of the recommendable walking navigation end point in the recommendable time period.
5. The method of claim 1, wherein determining whether the navigation destination is associated with a recommendable walking navigation endpoint comprises:
if the navigation destination is an interest plane, judging whether the interest plane contains the recommended walking navigation terminal point;
and if the navigation destination is an interest point, judging whether the interest plane of the interest point contains the recommended walking navigation terminal point.
6. The method of claim 1, wherein sending the recommended information of the walking navigation end point to a second terminal associated with the first terminal comprises: and sending the recommendation information to a second terminal which logs in by using the same account number as the first terminal.
7. A server for implementing multi-terminal navigation, comprising:
the system comprises an association judging module, a navigation processing module and a display module, wherein the association judging module is used for judging whether a navigation destination of a navigation request is associated with a recommendable walking navigation terminal point when the navigation request from a first terminal is received;
the position receiving module is used for receiving the current position reported by the first terminal when the navigation destination is judged to be associated with the recommendable walking navigation terminal point by the association judging module;
the range judging module is used for judging whether the current position is positioned in a predicted parking range or not when the position receiving module receives the current position;
the information pushing module is used for sending recommendation information of the recommendable walking navigation destination to a second terminal associated with the first terminal when the range judging module judges that the current position is located in a predicted parking range;
and the presetting module is used for presetting the recommended walking navigation terminal and the predicted parking range according to the historical statistical data of the walking navigation at the navigation destination.
8. The server according to claim 7, wherein the presetting module is specifically configured to:
counting the navigation stop times of navigation stop at the same parking point of the navigation destination in a preset historical time period, and the walking navigation initiation times of initiating walking navigation in a preset time period after the navigation stop;
judging whether the ratio of the walking navigation initiation times to the navigation stop times is higher than a preset requirement threshold value or not;
determining a parking point higher than the demand threshold value as a demanded parking point, and determining a minimum continuous area covering the demanded parking point with a first concentration ratio greater than or equal to a preset concentration ratio as the predicted parking range;
and determining the terminal point of the walking navigation initiated at the parking point with the requirement as the terminal point with the requirement, and determining the terminal point with the requirement and the highest navigation times as the terminal point of the recommendable walking navigation.
9. The server according to claim 8, wherein the presetting module is further configured to: after the end point of the walking navigation initiated at the parking point with the demand is determined as the end point with the demand, the time point when the recommended walking navigation end point initiates the navigation is determined as the time point with the demand, and the minimum continuous time period covering the time point with the demand at a preset second concentration ratio or more is determined as the recommendable time period.
10. The server according to claim 9, wherein the information pushing module is further configured to: and sending recommendation information of the recommendable walking navigation end point in the recommendable time period.
11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method of any one of claims 1 to 6.
12. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-6 when executing the program.
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