CN110785626B - Travel mode recommendation method and device, storage medium and terminal - Google Patents
Travel mode recommendation method and device, storage medium and terminal Download PDFInfo
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- CN110785626B CN110785626B CN201780090124.5A CN201780090124A CN110785626B CN 110785626 B CN110785626 B CN 110785626B CN 201780090124 A CN201780090124 A CN 201780090124A CN 110785626 B CN110785626 B CN 110785626B
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
Travel mode recommending method, device, storage medium and terminal, wherein the method comprises the following steps: acquiring the current geographic position of the terminal and the current moment (S110); determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment (S120); calculating a distance between the current geographic location and the preset geographic location (S130); and recommending a travel mode according to the distance.
Description
Technical Field
The invention relates to the technical field of terminals, in particular to a travel mode recommending method, a travel mode recommending device, a storage medium and a terminal.
Background
With the development of terminal technology, the functions of terminals such as smartphones are increasing. A plurality of applications may be installed in the terminal. For example, a navigation class application may be installed in the terminal. The user can search for the best route to the destination through the navigation class application when traveling.
Disclosure of the invention
Technical problem
The embodiment of the invention provides a travel mode recommending method, a travel mode recommending device, a storage medium and a terminal, which can improve convenience of the terminal.
Solution to the problem
Technical solution
In a first aspect, an embodiment of the present invention provides a travel mode recommendation method, including:
acquiring the current geographic position of the terminal and the current moment;
determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
calculating the distance between the current geographic position and the preset geographic position;
and recommending a travel mode according to the distance.
In a second aspect, an embodiment of the present invention provides a travel mode recommendation device, including:
the first acquisition module is used for acquiring the current geographic position and the current moment of the terminal;
the determining module is used for determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
the calculating module is used for calculating the distance between the current geographic position and the preset geographic position;
and the recommending module is used for recommending a travel mode according to the distance.
In a third aspect, an embodiment of the present invention provides a storage medium, where a computer program is stored, where the computer program when executed on a computer causes the computer to execute the trip mode recommendation method described above.
In a fourth aspect, an embodiment of the present invention provides a terminal, including a processor and a memory, where the memory stores a computer program, and the processor is configured to execute the travel mode recommendation method by calling the computer program stored in the memory.
Advantageous effects of the invention
Advantageous effects
The embodiment of the invention provides a travel mode recommending method, a travel mode recommending device, a storage medium and a terminal, which can improve convenience of the terminal.
Brief description of the drawings
Drawings
Fig. 1 is a schematic diagram of a terminal interface for searching for a destination by a navigation class application.
Fig. 2 is a flow chart of a travel mode recommending method according to an embodiment of the present invention.
Fig. 3 is another flow chart of the travel mode recommending method according to the embodiment of the invention.
Fig. 4 is a schematic flow chart of a trip recommendation method according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a first application scenario of the travel mode recommendation method provided by the embodiment of the present invention.
Fig. 6 is a schematic diagram of a second application scenario of the travel mode recommendation method provided by the embodiment of the present invention.
Fig. 7 is a schematic diagram of a third application scenario of the travel mode recommendation method provided by the embodiment of the present invention.
Fig. 8 is a schematic diagram of a fourth application scenario of the travel mode recommendation method provided by the embodiment of the present invention.
Fig. 9 is a schematic diagram of a first structure of a travel mode recommending apparatus according to an embodiment of the present invention.
Fig. 10 is a schematic diagram of a second structure of a travel mode recommending apparatus according to an embodiment of the present invention.
Fig. 11 is a schematic diagram of a third structure of a travel mode recommending apparatus according to an embodiment of the present invention.
Fig. 12 is a schematic diagram of a fourth structure of a travel mode recommending device according to an embodiment of the present invention.
Fig. 13 is a schematic diagram of a fifth structure of a travel mode recommending apparatus according to an embodiment of the present invention.
Fig. 14 is a schematic diagram of a sixth structure of a travel mode recommending apparatus according to an embodiment of the present invention.
Fig. 15 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Fig. 16 is another schematic structural diagram of a terminal according to an embodiment of the present invention.
Best mode for carrying out the invention
Best mode for carrying out the invention
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention based on the embodiments of the present invention.
The terms first, second, third and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the objects so described may be interchanged where appropriate. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, or apparatus, terminal, system comprising a series of steps is not necessarily limited to those steps or modules or units explicitly listed and may include steps or modules or units not explicitly listed or may include other steps or modules or units inherent to such process, method, apparatus, terminal, or system.
Referring to fig. 1, fig. 1 is a schematic view of a terminal interface for searching a destination by a navigation-type application. When a user needs to search for a travel route, the navigation class application (e.g., a hundred degree map) used needs to be selected first. The user then enters the destination name and clicks a search button in the navigation class application. There may be a plurality of destinations matching the destination name, and the user selects one of the plurality of destinations matching the destination name as the destination to be reached by the user. The terminal then plans the optimal travel route according to the destination selected by the user.
In the method for planning the travel route, the user has complicated operation and long time consumption, and the problem of inaccurate destination matching exists, so that the convenience of the terminal is reduced.
The embodiment of the invention provides a travel mode recommending method which can be applied to a terminal. The terminal can be a smart phone, a tablet computer and other devices. As shown in fig. 2, the travel mode recommendation method may include the following steps:
s110, acquiring the current geographic position and the current moment of the terminal.
Wherein, the terminal has a positioning function. For example, the terminal has a GPS system (GlobalPositioning System ) therein. The terminal can locate the terminal through a GPS system to acquire the geographic position of the terminal.
In addition, the current time can be displayed on the terminal in real time. The terminal may acquire the current time. The current time may include, among other things, a current date (e.g., 6 month No. 2, 6 month No. 10, etc.), a current week (e.g., monday, wednesday, etc.), a current time (e.g., 9 am, 3 pm, etc.), etc.
S120, determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment.
The preset matching model may be a matching model preset in the terminal. The preset matching model comprises a corresponding relation between the geographic position and the moment. The preset matching model may include a plurality of sub-models therein. For example, the preset matching model may be a matching model as shown in table 1.
TABLE 1
[Table 1]
| Sub-model | Time of day | Geographic location |
| Sub-model 1 | Saturday 9 am | Position 1 (home) |
| Sub-model 2 | Monday 10 am | Position 2 (company) |
| …… | …… | …… |
| Sub-model n1 | 7 pm on the week | Position n1 (mall) |
| Sub-model n2 | Friday afternoon 8 | Position n2 (restaurant) |
After the terminal obtains the current moment, the current moment is matched with the preset matching model to determine a sub-model matched with the current moment. The terminal then determines the preset geographic location based on the matched sub-models. The preset geographic location may be understood as a destination to which the user wants to go.
For example, when the current time acquired by the terminal is 7 pm on the week, the sub-model matched with the current time is the sub-model n1. The terminal may then determine the preset geographic location as location n1.
S130, calculating the distance between the current geographic position and the preset geographic position.
The terminal obtains the current geographic position, determines the preset geographic position and then calculates the distance between the current geographic position and the preset geographic position. In some embodiments, the distance may be a straight line distance between the current geographic location and the preset geographic location. For example, the distance between the current geographical location and the preset geographical location is calculated to be 1.5km.
And S140, recommending a travel mode according to the distance.
After the terminal calculates the distance between the current geographic position and the preset geographic position, the travel mode can be recommended according to the distance. The travel modes can include modes of sharing a bicycle, taking a bus, taking a subway and the like.
In some embodiments, as shown in fig. 3, in step S110, before the current geographic location where the terminal is located and the current time, the method may further include the following steps:
s151, acquiring the geographic position of the terminal and the moment of the geographic position for multiple times;
and S152, training a plurality of geographic positions and a plurality of moments according to a preset machine learning algorithm to generate a preset matching model between the geographic positions and the moments.
In the operation process of the terminal after the terminal is started, the terminal can acquire the geographical position of the terminal once and the moment when the terminal is positioned at the geographical position every preset time. For example, the terminal may acquire the above information every 2 hours.
After the terminal acquires the information for many times, training the acquired geographic positions and the moments at the geographic positions according to a preset machine learning algorithm to generate a preset matching model between the geographic positions and the moments. The preset machine learning algorithm may include, but is not limited to, a collaborative filtering (CF, coll aborative Filtering) algorithm, a singular value decomposition (SVD, singular Value Decomposition) algorithm, and the like.
The preset matching model represents the position of the maximum probability of the terminal at a certain moment in the historical record data of the terminal, namely the position of the maximum probability of the user at a certain moment. Thus, the preset matching model reflects the behavior habit of the user.
It can be understood that in the training process, the terminal can continuously learn the acquired multiple geographic positions and time so as to continuously perfect the generated preset matching model. Therefore, the generated preset matching model can be more matched with the behavior habit of the user, and the accuracy of recommending the travel mode is further improved.
In some embodiments, step S140, recommending a travel mode according to the distance, includes the following steps:
S141, determining a distance interval in which the distance is located;
s142, determining a travel mode according to the distance interval and a preset mapping relation, wherein the preset mapping relation is a corresponding relation between the distance interval and the travel mode;
s143, recommending the travel mode.
Wherein, a plurality of distance intervals may be set in the terminal in advance. For example, the following distance intervals may be set: (0.5 km,2km ], (2 km,4km ], (4 km,6km ], (6 km,8 km).
On the other hand, in practical application, when the distance between the current geographic position and the preset geographic position is different, the user may take different travel modes. The travel modes can comprise modes of sharing a bicycle, taking a bus, taking a subway and the like. For example, when the distance between the user and a preset geographic location (i.e., the destination to which the user wants to go) is relatively close, the user may travel using the shared bicycle; and when the distance between the user and the preset geographic position is far, the user can get on a trip. Therefore, the mapping relationship between each distance section and the travel mode can be set in the terminal in advance. For example, the mapping relationship between the distance zone and the travel pattern may be a correspondence relationship as shown in table 2.
TABLE 2
[Table 2]
| Distance interval | Travel mode |
| (0.5km，2km] | Sharing bicycle |
| (2km，4km] | Taking public transport |
| (4km，6km] | Subway for riding |
| (6km，8km] | Playing car |
After the terminal calculates the distance between the current geographic position and the preset geographic position, the distance is compared with the end point value of each distance interval to determine the distance interval in which the distance is located. For example, if the calculated distance is 1.5km, the distance section in which the distance is located may be determined to be (0.5 km,2 km).
After the distance interval is determined, the terminal can determine the travel mode according to the mapping relation between the distance interval and the above, and recommend the travel mode. For example, the determined distance interval is (0.5 km,2 km), the terminal may determine that the corresponding travel mode is a shared bicycle.
In some embodiments, as shown in fig. 4, step S143, recommending the travel mode, includes the following steps:
s1431, searching available traffic resources of the travel mode in a preset area based on the current geographic position;
s1432, the available traffic resources are displayed.
After determining the travel mode, the terminal can search available traffic resources of the travel mode in a preset area based on the current geographic position. The preset area may be an area centered on the current geographic location. For example, the preset area may be a range of radius 1km centered on the current geographic location.
The available traffic resources are available resources corresponding to the travel mode. For example, in the sharing bicycle mode, the available traffic resource is a sharing bicycle; in the taking public transportation mode, the available traffic resource is a public transportation station; in a subway riding mode, the available traffic resource is a subway station; in the driving mode, the available traffic resources are available vehicles.
After the terminal searches for the available traffic resources, the available traffic resources can be displayed on a display screen of the terminal.
For example, as shown in fig. 5, if the travel mode is a shared bicycle, the terminal may display the searched available bicycle.
As shown in fig. 6, when the trip mode is taking a bus, the terminal may display the searched bus stop.
As shown in fig. 7, when the travel mode is a riding subway, the terminal may display the searched subway station.
As shown in fig. 8, if the travel mode is taxi taking, the terminal may display the searched available vehicles.
In some embodiments, the preset area ranges corresponding to different travel modes may be different. For example, the preset area corresponding to the sharing bicycle may be a range with the current geographic position as the center and a radius of 0.5 km; the preset area corresponding to the bus taking can be a range with the current geographic position as the center and the radius of 1 km; the preset area corresponding to the subway can be a range with the current geographic position as the center and the radius of 2 km; the preset area corresponding to the driving can be a range with the current geographic position as the center and the radius of 3 km.
After determining the travel mode, the terminal can acquire a corresponding preset area range according to the type of the travel mode, and then search available traffic resources of the travel mode in the preset area based on the current geographic position.
In some embodiments, as shown in fig. 3, before step S143, recommending the travel mode, the method further includes the following steps:
s161, acquiring the acceleration of the terminal;
s162, judging whether the terminal is in a motion state according to the acceleration;
if the terminal is in a motion state, recommending the travel mode.
Wherein, acceleration sensor has in the terminal. The terminal may acquire detection data of the acceleration sensor to acquire acceleration of the terminal based on the detection data. Then, the terminal judges whether the terminal is in a motion state or not according to the acceleration.
When the acceleration value is zero, it may be determined that the terminal is not in a motion state. When the acceleration value is not zero, it can be determined that the terminal is in a motion state. When the terminal is in a motion state, the user can be understood to be in a travel process. At this time, the terminal may recommend the determined travel mode.
When the terminal is judged not to be in the motion state, the terminal can terminate the flow or restart the flow of executing the method.
In some embodiments, as shown in fig. 4, before step S143, recommending the travel mode, the method further includes the following steps:
s163, starting a step counting application in the terminal;
s164, judging whether the step counting data applied by the step counting application in a preset time period reaches a preset value or not;
if the step counting data reaches the preset value, recommending the travel mode.
Wherein, the terminal is provided with a step counting application. For example, the step counting application may be a step counter in the terminal. The terminal can start the step counting application and acquire step counting data of the step counting application in a preset time period. The preset time period may be a time period preset in the terminal. For example, the preset time period may be 10 seconds.
After the terminal acquires the step counting data applied in the preset time period, the step counting data is compared with a preset value to judge whether the step counting data reaches the preset value. The preset value may be a value preset in the terminal. For example, the preset value is 15.
When the step counting data reaches the preset value, the user can be understood as being in the trip process. At this time, the terminal may recommend the determined travel mode.
When the step counting data does not reach the preset value, the terminal can terminate the flow or restart the flow of executing the method.
In some embodiments, with continued reference to fig. 3, after step S140 of recommending a travel mode according to the distance, the method may further include the steps of:
s171, receiving input operation of a user aiming at the travel mode;
s172, judging whether the travel mode is recommended accurately according to the input operation.
After recommending the travel mode, the terminal may display buttons such as "accept", "close" and the like on an interface of the recommended travel mode. The user can operate the recommended travel mode. For example, the user may click an "accept" button to accept the recommended travel mode by which to travel. The user may also click the "close" button to close the recommended travel mode and refuse to travel through the travel mode.
The terminal can receive input operation of the user for the travel mode. Wherein the input operation includes agreement and denial. When the user clicks a button of "accept" or the like, an input operation by the user is indicated as agreement; when the user clicks a button of "off" or the like, it means that the user's input operation is rejected.
When the terminal receives the consent operation of the user, the recommended trip mode can be judged to be accurate. When the terminal receives the refusal operation of the user, the recommended trip mode can be judged to be inaccurate.
When the travel mode recommendation is inaccurate, the terminal can continuously acquire the geographic position and the moment at the geographic position, and train the acquired information so as to gradually perfect a matching model between the geographic position and the moment, thereby improving the accuracy of the follow-up recommended travel mode.
In particular, the invention is not limited by the order of execution of the steps described, as some of the steps may be performed in other orders or concurrently without conflict.
As can be seen from the above, the travel mode recommendation method provided by the embodiment of the invention obtains the current geographic position and the current moment of the terminal; determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment; calculating the distance between the current geographic position and the preset geographic position; and recommending a travel mode according to the distance. In the scheme, the terminal determines the preset geographic position according to the current moment and the preset matching model, and recommends the travel mode according to the distance between the current geographic position and the preset geographic position, so that the terminal can intelligently select the travel mode most suitable for the user without inputting information or operation by the user, and recommends the travel mode to the user.
The embodiment of the invention also provides a travel mode recommending device which can be integrated in a terminal, wherein the terminal can be a smart phone, a tablet personal computer and other devices.
As shown in fig. 9, the travel pattern recommending apparatus 200 may include: a first acquisition module 201, a determination module 202, a calculation module 203, and a recommendation module 204.
The first obtaining module 201 is configured to obtain a current geographic location where the terminal is located and a current time.
Wherein, the terminal has a positioning function. For example, the terminal has a GPS system (GlobalPositioning System ) therein. The first acquisition module 201 may locate the terminal through a GPS system to acquire the geographic location where the terminal is located.
In addition, the current time can be displayed on the terminal in real time. The first acquisition module 201 may acquire the current time. The current time may include, among other things, a current date (e.g., 6 month No. 2, 6 month No. 10, etc.), a current week (e.g., monday, wednesday, etc.), a current time (e.g., 9 am, 3 pm, etc.), etc.
The determining module 202 is configured to determine a preset geographic location according to the current time and a preset matching model, where the preset matching model includes a correspondence between geographic locations and time.
The preset matching model may be a matching model preset in the terminal. The preset matching model comprises a corresponding relation between the geographic position and the moment. The preset matching model may include a plurality of sub-models therein. For example, the preset matching model may be a matching model as shown in table 3.
TABLE 3 Table 3
[Table 3]
| Sub-model | Time of day | Geographic location |
| Sub-model 1 | Saturday 9 am | Position 1 (home) |
| Sub-model 2 | Monday 10 am | Position 2 (company) |
| …… | …… | …… |
| Sub-model n1 | 7 pm on the week | Position n1 (mall) |
| Sub-model n2 | Friday afternoon 8 | Position n2 (restaurant) |
After the first obtaining module 201 obtains the current time, the determining module 202 matches the current time with the preset matching model to determine a sub-model matched with the current time. The determination module 202 then determines the preset geographic location based on the matched sub-models. The preset geographic location may be understood as a destination to which the user wants to go.
For example, when the current time acquired by the first acquisition module 201 is 7 pm on the week, the sub-model matched with the current time is the sub-model n1. Subsequently, the determination module 202 may determine the preset geographic location as location n1.
The calculating module 203 is configured to calculate a distance between the current geographic location and the preset geographic location.
The first obtaining module 201 obtains the current geographic location, and after the determining module 202 determines the preset geographic location, the calculating module 203 can calculate the distance between the current geographic location and the preset geographic location. In some embodiments, the distance may be a straight line distance between the current geographic location and the preset geographic location. For example, the distance between the current geographical location and the preset geographical location is calculated to be 1.5km.
And the recommending module 204 is used for recommending a travel mode according to the distance.
After the calculating module 203 calculates the distance between the current geographic location and the preset geographic location, the recommending module 204 may recommend the travel mode according to the distance. The travel modes can include modes of sharing a bicycle, taking a bus, taking a subway and the like.
In some embodiments, as shown in fig. 10, the travel mode recommending device 200 further includes: a second acquisition module 205, a training module 206.
A second obtaining module 205, configured to obtain, for multiple times, a geographic location where the terminal is located and a time at which the terminal is located at the geographic location;
The training module 206 is configured to train a plurality of the geographic locations and a plurality of the moments according to a preset machine learning algorithm to generate a preset matching model between the geographic locations and the moments.
In the operation process of the terminal after the terminal is started, the second obtaining module 205 may obtain the geographical location where the terminal is located once and the time when the terminal is located at the geographical location every preset time. For example, the second acquisition module 205 may acquire the above information once every 2 hours.
After the second obtaining module 205 obtains the information for multiple times, the training module 206 may train the obtained multiple geographic locations and the time at the geographic location according to a preset machine learning algorithm, so as to generate a preset matching model between the geographic location and the time. The preset machine learning algorithm may include, but is not limited to, a collaborative filtering (CF, collaborative Filtering) algorithm, a singular value decomposition (SVD, singular Value Decomposition) algorithm, and the like.
The preset matching model represents the position of the maximum probability of the terminal at a certain moment in the historical record data of the terminal, namely the position of the maximum probability of the user at a certain moment. Thus, the preset matching model reflects the behavior habit of the user.
It can be appreciated that in the training process, the training module 206 can learn the acquired multiple geographic locations and moments continuously, so as to refine the generated preset matching model continuously. Therefore, the generated preset matching model can be more matched with the behavior habit of the user, and the accuracy of recommending the travel mode is further improved.
In some embodiments, as shown in FIG. 11, the recommendation module 204 includes: a first determination submodule 2041, a second determination submodule 2042 and a recommendation submodule 2043.
A first determining submodule 2041, configured to determine a distance interval in which the distance is located;
the second determining submodule 2042 is configured to determine a trip mode according to the distance interval and a preset mapping relationship, where the preset mapping relationship is a corresponding relationship between the distance interval and the trip mode;
the recommending submodule 2043 is used for recommending the travel mode.
Wherein, a plurality of distance intervals may be set in the terminal in advance. For example, the following distance intervals may be set: (0.5 km,2km ], (2 km,4km ], (4 km,6km ], (6 km,8 km).
On the other hand, in practical application, when the distance between the current geographic position and the preset geographic position is different, the user may take different travel modes. The travel modes can comprise modes of sharing a bicycle, taking a bus, taking a subway and the like. For example, when the distance between the user and a preset geographic location (i.e., the destination to which the user wants to go) is relatively close, the user may travel using the shared bicycle; and when the distance between the user and the preset geographic position is far, the user can get on a trip. Therefore, the mapping relationship between each distance section and the travel mode can be set in the terminal in advance. For example, the mapping relationship between the distance zone and the travel pattern may be a correspondence relationship as shown in table 4.
TABLE 4 Table 4
[Table 4]
| Distance interval | Travel mode |
| (0.5km，2km] | Sharing bicycle |
| (2km，4km] | Taking public transport |
| (4km，6km] | Subway for riding |
| (6km，8km] | Playing car |
After the calculating module 203 calculates the distance between the current geographic location and the preset geographic location, the first determining submodule 2041 compares the distance with the endpoint value of each distance interval to determine the distance interval in which the distance is located. For example, if the calculated distance is 1.5km, the distance section in which the distance is located may be determined to be (0.5 km,2 km).
After determining the distance interval, the second determining submodule 2042 may determine the travel mode according to the mapping relationship between the distance interval and the above, and the recommending submodule 2043 recommends the travel mode. For example, the determined distance interval is (0.5 km,2 km), the second determination submodule 2042 may determine that the corresponding travel mode is shared bicycle.
In some embodiments, the recommendation sub-module 2043 is configured to perform the steps of:
searching available traffic resources of the travel mode in a preset area based on the current geographic position;
the available traffic resources are displayed.
After the second determining submodule 2042 determines the trip mode, the recommending submodule 2043 may search available traffic resources of the trip mode in the preset area based on the current geographic position. The preset area may be an area centered on the current geographic location. For example, the preset area may be a range of radius 1km centered on the current geographic location.
The available traffic resources are available resources corresponding to the travel mode. For example, in the sharing bicycle mode, the available traffic resource is a sharing bicycle; in the taking public transportation mode, the available traffic resource is a public transportation station; in a subway riding mode, the available traffic resource is a subway station; in the driving mode, the available traffic resources are available vehicles.
After the recommendation sub-module 2043 searches for available traffic resources, the available traffic resources may be displayed on a display screen of the terminal.
In some embodiments, the preset area ranges corresponding to different travel modes may be different. For example, the preset area corresponding to the sharing bicycle may be a range with the current geographic position as the center and a radius of 0.5 km; the preset area corresponding to the bus taking can be a range with the current geographic position as the center and the radius of 1 km; the preset area corresponding to the subway can be a range with the current geographic position as the center and the radius of 2 km; the preset area corresponding to the driving can be a range with the current geographic position as the center and the radius of 3 km.
After the second determining submodule 2042 determines the travel mode, the recommending submodule 2043 may obtain a corresponding preset area range according to the type of the travel mode, and then search available traffic resources of the travel mode in the preset area based on the current geographic position.
In some embodiments, as shown in fig. 12, the travel mode recommendation device 200 further includes: a third obtaining module 207, a first judging module 208.
A third acquiring module 207, configured to acquire an acceleration of the terminal;
a first judging module 208, configured to judge whether the terminal is in a motion state according to the acceleration;
and the recommending module 204 is used for recommending the travel mode when the terminal is in a motion state.
Wherein, acceleration sensor has in the terminal. The third acquisition module 207 may acquire detection data of the acceleration sensor to acquire acceleration of the terminal according to the detection data. Subsequently, the first determining module 208 determines whether the terminal is in a motion state according to the acceleration.
When the acceleration value is zero, it may be determined that the terminal is not in a motion state. When the acceleration value is not zero, it can be determined that the terminal is in a motion state. When the terminal is in a motion state, the user can be understood to be in a travel process. At this time, the recommendation module 204 may recommend the travel patterns determined above.
When the terminal is judged not to be in the motion state, the terminal can terminate the flow or restart the flow of executing the method.
In some embodiments, as shown in fig. 13, the travel mode recommending device 200 further includes: an opening module 209 and a second judging module 210.
An opening module 209, configured to open a step counting application in the terminal;
a second judging module 210, configured to judge whether the step counting data of the step counting application in the preset time period reaches a preset value;
and the recommending module 204 is used for recommending the travel mode when the step counting data reach the preset value.
Wherein, the terminal is provided with a step counting application. For example, the step counting application may be a step counter in the terminal. The opening module 209 may open the step counting application and obtain step counting data of the step counting application within a preset period of time. The preset time period may be a time period preset in the terminal. For example, the preset time period may be 10 seconds.
After obtaining the step counting data of the step counting application in the preset time period, the second judging module 210 compares the step counting data with a preset value to judge whether the step counting data reaches the preset value. The preset value may be a value preset in the terminal. For example, the preset value is 15.
When the step counting data reaches the preset value, the user can be understood as being in the trip process. At this time, the recommendation module 204 may recommend the travel patterns determined above.
When the step counting data does not reach the preset value, the terminal can terminate the flow or restart the flow of executing the method.
In some embodiments, as shown in fig. 14, the travel mode recommending device 200 further includes: a receiving module 211 and a third judging module 212.
A receiving module 211, configured to receive an input operation of the user for the trip mode;
and a third judging module 212, configured to judge whether the travel mode is recommended accurately according to the input operation.
After recommending the travel mode, the recommending module 204 may display buttons such as accept, close, etc. on an interface of the recommended travel mode. The user can operate the recommended travel mode. For example, the user may click the 'accept' button to accept the recommended travel mode by which to travel. The user may also click the 'close' button to close the recommended travel mode and refuse to travel through the travel mode.
The receiving module 211 may receive an input operation of the user for the travel mode. Wherein the input operation includes agreement and denial. When the user clicks a button of 'accept' or the like, an input operation by the user is indicated as consent; when the user clicks a button of ' off ' or the like, it means that the user's input operation is rejected.
When the receiving module 211 receives the approval operation of the user, the third judging module 212 may judge that the recommended travel mode is accurate. When the receiving module 211 receives the rejection operation of the user, the third judging module 212 may judge that the recommended travel mode is inaccurate.
When the travel mode recommendation is inaccurate, the second obtaining module 205 may continuously obtain the geographic location and the time at the geographic location, and the training module 206 trains the obtained information to gradually perfect the matching model between the geographic location and the time, so as to improve the accuracy of the subsequent recommended travel mode.
In specific implementation, each module may be implemented as a separate entity, or may be combined arbitrarily and implemented as the same entity or several entities.
As can be seen from the above, the travel mode recommendation device 200 provided in the embodiment of the present invention acquires, through the first acquisition module 201, the current geographic location and the current time at which the terminal is located; the determining module 202 determines a preset geographic position according to the current time and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the time; the calculating module 203 calculates a distance between the current geographic position and the preset geographic position; the recommending module 204 recommends a travel mode according to the distance. In the scheme, the terminal determines the preset geographic position according to the current moment and the preset matching model, and recommends the travel mode according to the distance between the current geographic position and the preset geographic position, so that the terminal can intelligently select the travel mode most suitable for the user without inputting information or operation by the user, and recommends the travel mode to the user.
The embodiment of the invention also provides a terminal. The terminal can be a smart phone, a tablet computer and other devices. As shown in fig. 15, the terminal 300 includes a processor 301 and a memory 302. The processor 301 is electrically connected to the memory 302.
The processor 301 is a control center of the terminal 300, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal and processes data by running or calling computer programs stored in the memory 302 and calling data stored in the memory 302, thereby performing overall monitoring of the terminal.
In this embodiment, the processor 301 in the terminal 300 loads instructions corresponding to the processes of one or more computer programs into the memory 302 according to the following steps, and the processor 301 executes the computer programs stored in the memory 302, so as to implement various functions:
acquiring the current geographic position of the terminal and the current moment;
determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
calculating the distance between the current geographic position and the preset geographic position;
And recommending a travel mode according to the distance.
In some embodiments, the processor 301 further performs the following steps, before the current geographic location where the terminal is located and the current time of day is obtained:
acquiring the geographic position of a terminal and the moment of the geographic position for a plurality of times;
training a plurality of geographic positions and a plurality of moments according to a preset machine learning algorithm to generate a preset matching model between the geographic positions and the moments.
In some embodiments, when recommending travel patterns according to the distance, the processor 301 performs the following steps:
determining a distance interval in which the distance is located;
determining a travel mode according to the distance interval and a preset mapping relation, wherein the preset mapping relation is a corresponding relation between the distance interval and the travel mode;
and recommending the travel mode.
In some embodiments, when recommending the travel patterns, the processor 301 performs the following steps:
searching available traffic resources of the travel mode in a preset area according to the current geographic position;
and displaying the available traffic resources.
In some embodiments, before recommending travel patterns based on the distance, the processor 301 further performs the steps of:
Acquiring the acceleration of the terminal;
judging whether the terminal is in a motion state according to the acceleration;
and if the terminal is in a motion state, recommending a travel mode according to the distance.
In some embodiments, before recommending travel patterns based on the distance, the processor 301 further performs the steps of:
starting a step counting application in the terminal;
judging whether the step counting data of the step counting application in a preset time period reaches a preset value or not;
and if the step counting data reach the preset value, recommending a travel mode according to the distance.
In some embodiments, after recommending travel patterns according to the distance, the processor 301 further performs the steps of:
receiving input operation of a user aiming at the travel mode;
and judging whether the travel mode is recommended accurately according to the input operation.
In some embodiments, as shown in fig. 16, the terminal 300 further includes: a sensor 303, a display 304, a control circuit 305, an input unit 306, and a power supply 307. The processor 301 is electrically connected to the sensor 303, the display 304, the control circuit 305, the input unit 306, and the power supply 307, respectively.
The sensor 303 is used to collect external environmental information. The sensor 303 may include an acceleration sensor, an ambient light sensor, a gyroscope, or the like.
The display 304 may be used to display information entered by a user or information provided to a user and various graphical user interfaces of a terminal, which may be composed of images, text, icons, video and any combination thereof.
The control circuit 305 is electrically connected to the display 304, and is used for controlling the display 304 to display information.
The input unit 306 may be used to receive entered numbers, character information or user characteristic information (e.g., fingerprints), and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. The input unit 306 may include a fingerprint recognition module.
The power supply 307 is used to supply power to the various components of the terminal 300. In some embodiments, the power supply 307 may be logically connected to the processor 301 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system.
Although not shown in fig. 16, the terminal 300 may further include a camera, a radio frequency circuit, a bluetooth module, etc., which will not be described herein.
From the above, the embodiment of the invention provides a terminal, which obtains the current geographic position and the current time of the terminal; determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment; calculating the distance between the current geographic position and the preset geographic position; and recommending a travel mode according to the distance. In the scheme, the terminal determines the preset geographic position according to the current moment and the preset matching model, and recommends the travel mode according to the distance between the current geographic position and the preset geographic position, so that the terminal can intelligently select the travel mode most suitable for the user without inputting information or operation by the user, and recommends the travel mode to the user.
The embodiment of the invention also provides a storage medium, wherein a computer program is stored in the storage medium, and when the computer program runs on a computer, the computer executes the travel mode recommending method according to any embodiment.
It should be noted that, all or part of the steps in the methods of the foregoing embodiments may be implemented by a program, which may be stored in a computer readable storage medium, and the storage medium may include, but is not limited to: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
The travel mode recommending method, device, storage medium and terminal provided by the embodiment of the invention are described in detail, and specific examples are applied to explain the principle and implementation mode of the invention, and the description of the above embodiments is only used for helping to understand the method and core ideas of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention.
Claims (16)
1. A travel mode recommending method comprises the following steps:
acquiring the current geographic position of the terminal and the current moment;
determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
Calculating the distance between the current geographic position and the preset geographic position;
acquiring the acceleration of the terminal, recommending a travel mode according to the distance if the terminal is in a motion state according to the acceleration, and acquiring a corresponding preset area range according to the type of the travel mode, wherein the preset area ranges corresponding to different travel modes are different;
and searching the determined available traffic resources of the travel mode in the preset area according to the current geographic position, and displaying the available traffic resources.
2. The travel mode recommendation method according to claim 1, wherein before the step of obtaining the current geographic position and the current time of the terminal, the method further comprises:
acquiring the geographic position of a terminal and the moment of the geographic position for a plurality of times;
training a plurality of geographic positions and a plurality of moments according to a preset machine learning algorithm to generate a preset matching model between the geographic positions and the moments.
3. The travel mode recommending method according to claim 1, wherein recommending the travel mode according to the distance comprises:
determining a distance interval in which the distance is located;
Determining a travel mode according to the distance interval and a preset mapping relation, wherein the preset mapping relation is a corresponding relation between the distance interval and the travel mode;
and recommending the travel mode.
4. The travel mode recommending method according to claim 1, wherein before the step of recommending a travel mode according to the distance, further comprising:
starting a step counting application in the terminal;
judging whether the step counting data of the step counting application in a preset time period reaches a preset value or not;
and if the step counting data reach the preset value, recommending a travel mode according to the distance.
5. The travel mode recommending method according to claim 1, wherein after the step of recommending a travel mode according to the distance, further comprising:
receiving input operation of a user aiming at the travel mode;
and judging whether the travel mode is recommended accurately according to the input operation.
6. A travel mode recommendation device, comprising:
the first acquisition module is used for acquiring the current geographic position and the current moment of the terminal;
the determining module is used for determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
The calculating module is used for calculating the distance between the current geographic position and the preset geographic position;
a third acquisition module, configured to acquire an acceleration of the terminal;
the first judging module is used for judging whether the terminal is in a motion state or not according to the acceleration;
the recommending module is used for recommending a travel mode according to the distance if the terminal is in a motion state, acquiring corresponding preset area ranges according to the type of the travel mode, and enabling the preset area ranges corresponding to different travel modes to be different; and searching the determined available traffic resources of the travel mode in the preset area according to the current geographic position, and displaying the available traffic resources.
7. The travel pattern recommending device of claim 6, further comprising:
the second acquisition module is used for acquiring the geographic position of the terminal and the moment of the geographic position for a plurality of times;
the training module is used for training a plurality of geographic positions and a plurality of moments according to a preset machine learning algorithm so as to generate a preset matching model between the geographic positions and the moments.
8. The travel pattern recommending device of claim 6, wherein the recommending module comprises:
The first determining submodule is used for determining a distance interval in which the distance is located;
the second determining submodule is used for determining a travel mode according to the distance interval and a preset mapping relation, wherein the preset mapping relation is a corresponding relation between the distance interval and the travel mode;
and the recommending sub-module is used for recommending the travel mode.
9. The travel pattern recommending device of claim 6, further comprising:
the starting module is used for starting the step counting application in the terminal;
the second judging module is used for judging whether the step counting data of the step counting application in the preset time period reaches a preset value or not;
and the recommending module is also used for recommending a travel mode according to the distance when the step counting data reach the preset value.
10. The travel pattern recommending device of claim 6, further comprising:
the receiving module is used for receiving input operation of a user aiming at the travel mode;
and the third judging module is used for judging whether the travel mode is recommended accurately according to the input operation.
11. A storage medium having a computer program stored therein, which when run on a computer causes the computer to perform the travel mode recommendation method of any one of claims 1 to 5.
12. The terminal comprises a processor and a memory, wherein the processor is electrically connected with the memory, a computer program is stored in the memory, and the processor is used for executing the following steps by calling the computer program stored in the memory:
acquiring the current geographic position of the terminal and the current moment;
determining a preset geographic position according to the current moment and a preset matching model, wherein the preset matching model comprises a corresponding relation between the geographic position and the moment;
calculating the distance between the current geographic position and the preset geographic position;
acquiring the acceleration of the terminal, recommending a travel mode according to the distance if the terminal is in a motion state according to the acceleration, and acquiring a corresponding preset area range according to the type of the travel mode, wherein the preset area ranges corresponding to different travel modes are different;
and searching the determined available traffic resources of the travel mode in the preset area according to the current geographic position, and displaying the available traffic resources.
13. The terminal of claim 12, wherein prior to the step of obtaining the current geographic location and the current time of day at which the terminal is located, the processor is further configured to perform the steps of:
Acquiring the geographic position of a terminal and the moment of the geographic position for a plurality of times;
training a plurality of geographic positions and a plurality of moments according to a preset machine learning algorithm to generate a preset matching model between the geographic positions and the moments.
14. The terminal of claim 12, wherein the processor is configured to perform the following steps when recommending travel patterns based on the distance:
determining a distance interval in which the distance is located;
determining a travel mode according to the distance interval and a preset mapping relation, wherein the preset mapping relation is a corresponding relation between the distance interval and the travel mode;
and recommending the travel mode.
15. The terminal of claim 12, wherein before the step of recommending travel patterns based on the distance, the processor is further configured to perform the steps of:
starting a step counting application in the terminal;
judging whether the step counting data of the step counting application in a preset time period reaches a preset value or not;
and if the step counting data reach the preset value, recommending a travel mode according to the distance.
16. The terminal of claim 12, wherein after the step of recommending travel patterns based on the distance, the processor is further configured to perform the steps of:
Receiving input operation of a user aiming at the travel mode;
and judging whether the travel mode is recommended accurately according to the input operation.
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| CN113885751A (en) * | 2021-09-28 | 2022-01-04 | 阿里巴巴（中国）有限公司 | Display method, data processing method, electronic device and computing device |
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