CN110166939B

CN110166939B - Public transport station judgment method and device

Info

Publication number: CN110166939B
Application number: CN201810444869.3A
Authority: CN
Inventors: 刘昆明
Original assignee: Tencent Technology Shenzhen Co Ltd; Tencent Dadi Tongtu Beijing Technology Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd; Tencent Dadi Tongtu Beijing Technology Co Ltd
Priority date: 2018-05-10
Filing date: 2018-05-10
Publication date: 2022-03-04
Anticipated expiration: 2038-05-10
Also published as: CN110166939A

Abstract

The invention relates to a method and a device for judging public transport stations, and belongs to the technical field of intelligent transportation. The public transport station judging method comprises the following steps: acquiring user behavior states of a plurality of mobile terminals; determining a target position; determining change information of user behavior states of the plurality of mobile terminals at the target position; and determining whether the target position is a public transportation station or not according to the change information of the user behavior states of the plurality of mobile terminals at the target position. The invention can realize automatic judgment of the public transport station, thereby improving the timeliness of updating the public transport station and reducing the labor cost.

Description

Public transport station judgment method and device

Technical Field

The invention relates to the technical field of intelligent transportation, in particular to a public transportation station judgment method, a public transportation station judgment device, electronic equipment and a computer readable storage medium.

Background

In order to meet the traveling demands of most people and reduce environmental pollution, public transport means such as buses and subways are provided in many cities. Public transport vehicles generally run back and forth between a starting point and an ending point, and a plurality of public transport stations are arranged between the starting point and the ending point so as to facilitate people waiting for queuing at the public transport stations for riding.

In the prior art, a public transportation station is generally determined manually by staff or reported actively by a user. However, the problems of untimely update of the public transportation station information, high labor cost and the like exist.

Therefore, a new method for judging public transportation stations is needed to be provided, so that automatic judgment of the public transportation stations is realized, the timeliness of updating the public transportation stations is further improved, and the labor cost is reduced.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present invention and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.

Disclosure of Invention

The invention aims to provide a public transport station judgment method, a public transport station judgment device, electronic equipment and a computer readable storage medium, and further solves the problems of untimely update of public transport station information, high labor cost and the like caused by the limitations and defects of the related technology at least to a certain extent.

According to a first aspect of the present invention, there is provided a public transportation station judgment method including:

acquiring user behavior states of a plurality of mobile terminals;

determining a target position;

determining change information of user behavior states of the plurality of mobile terminals at the target position;

and determining whether the target position is a public transport station or not according to the change information of the user behavior states of the plurality of mobile terminals at the target position.

In an exemplary embodiment of the present invention, acquiring user behavior states of a plurality of mobile terminals includes:

determining that the mobile terminal is in a static state according to the first data uploaded by each mobile terminal; the first data comprises a static state identifier, a static state moment and a static state position;

determining that the mobile terminals are in a driving state according to the second data uploaded by the mobile terminals; the second data comprises a driving state identifier and driving state time.

In an exemplary embodiment of the invention, the determining a target location comprises:

and determining the target position according to the static state position.

In an exemplary embodiment of the present invention, determining whether the target location is a public transportation station according to change information of user behavior states of the plurality of mobile terminals at the target location includes:

judging whether the change information of the plurality of mobile terminals at the target positions meets a preset condition or not according to the first data and the second data;

and if the preset condition is met, determining that the target position is a public transport station.

In an exemplary embodiment of the present invention, determining whether change information of the plurality of mobile terminals at the target positions satisfies a preset condition according to each of the first data and the second data includes:

and judging whether the number of the mobile terminals of which the user behavior states are changed from the static states to the driving states at the target position at the same time is larger than a first threshold value or not according to the driving state time.

In an exemplary embodiment of the present invention, determining whether change information of the plurality of mobile terminals at the target positions satisfies a preset condition according to each of the first data and the second data further includes:

and determining the duration time of the static state of each mobile terminal according to each static state moment and driving state moment, and judging whether the duration time of the static state is consistent.

and determining a designated position as the target position.

determining that the target location is not a public transportation station if the user behavior states of the plurality of mobile terminals do not change at the target location.

According to a second aspect of the present invention, there is provided a public transportation station judgment method including:

and calculating the user behavior state of the current mobile terminal and uploading the user behavior state to a server so that the server determines whether the target position is a public transport station or not according to the change information of the user behavior states of the mobile terminals at the target position.

In an exemplary embodiment of the present invention, calculating and uploading a user behavior state of a current mobile terminal to a server includes:

and calculating the user behavior state of the mobile terminal according to the wireless network characteristic information acquired by the mobile terminal and/or the sensor information of the mobile terminal.

when the mobile terminal is calculated to be changed into a static state, recording the current time as a static state moment and recording the current position as a static state position, and uploading the static state identifier, the static state moment and the static state position as first data to the server;

and when the mobile terminal is calculated to be changed into the driving state, recording the current time as the driving state moment, and uploading the driving state identification and the driving state moment to the server as second data.

According to a third aspect of the present invention, there is provided a public transportation station determination device comprising:

the user behavior state acquisition module is used for acquiring user behavior states of the plurality of mobile terminals;

the target position determining module is used for determining a target position;

a change information determination module for determining change information of user behavior states of the plurality of mobile terminals at the target location;

and the station judging module is used for determining whether the target position is a public transport station or not according to the change information of the user behavior states of the plurality of mobile terminals at the target position.

In an exemplary embodiment of the present invention, the user behavior state obtaining module includes:

the static state acquisition unit is used for determining that the mobile terminal is in a static state according to the first data uploaded by each mobile terminal; the first data comprises a static state identifier, a static state moment and a static state position; and

the driving state acquisition unit is used for determining the driving state of the mobile terminal according to the second data uploaded by each mobile terminal; the second data comprises a driving state identifier and driving state time.

In an exemplary embodiment of the present invention, the target position determination module includes:

a first target position determination unit for determining the target position based on the stationary state position.

In an exemplary embodiment of the present invention, the station determining module includes:

the first condition matching unit is used for judging whether the change information of the plurality of mobile terminals at the target positions meets a preset condition or not according to the first data and the second data;

and the first station determining unit is used for determining that the target position is a public transport station when the preset condition is met.

a second target position determination unit for determining a specified position as the target position.

the second condition matching unit is used for judging whether the user behavior states of the plurality of mobile terminals change at the target positions;

a second station determining unit configured to determine that the target location is not a public transportation station when the user behavior states of the plurality of mobile terminals do not change at the target location.

According to a fourth aspect of the present invention, there is provided a public transportation station determination device comprising:

the behavior state calculation module is used for calculating the user behavior state of the current mobile terminal;

and the behavior state uploading module is used for uploading the user behavior states of the mobile terminals to a server so that the server can determine whether the target position is a public transport station or not according to the change information of the user behavior states of the mobile terminals at the target position.

In an exemplary embodiment of the present invention, the behavior state uploading module includes:

the first data uploading unit is used for recording the current time as the static state moment and recording the current position as the static state position when the mobile terminal is calculated to be changed into the static state, and uploading the static state identifier, the static state moment and the static state position to the server as first data;

and the second data uploading unit is used for recording the current time as the driving state moment when the mobile terminal is calculated to be changed into the driving state, and uploading the driving state identification and the driving state moment to the server as second data.

According to a fifth aspect of the present invention, there is provided an electronic apparatus comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any one of the above via execution of the executable instructions.

According to a sixth aspect of the invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.

Exemplary embodiments of the present invention may have the following advantageous effects:

in the method for judging a public transportation station according to the exemplary embodiment of the present invention, based on the acquired user behavior states of the plurality of mobile terminals, change information of the user behavior states of the plurality of mobile terminals at the target position can be obtained, and it can be further automatically judged whether the target position is a public transportation station. Compared with the scheme of manually acquiring information in the prior art, on one hand, the influence of human factors is reduced, and more objective judgment can be performed, so that the judgment accuracy can be improved to a certain extent; on the other hand, whether the target position is a public transportation station can be judged without the need of staff arriving at the site, so that when the public transportation station is updated, the target position can be known earlier by the method, the timeliness of updating the public transportation station is further improved, and meanwhile, the labor cost is also reduced; on the other hand, based on the public transportation station data with higher accuracy and updating timeliness, the travel route can be better planned for the user, convenience is brought to the user for traveling, and the travel experience of the user is optimized.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.

Fig. 1 is a schematic diagram illustrating an exemplary system architecture of a public transportation station determining method and apparatus to which an embodiment of the present invention can be applied;

FIG. 2 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device to implement an embodiment of the invention;

fig. 3 schematically shows a flow chart of a public transportation station judgment method according to an embodiment of the present invention;

FIG. 4 schematically illustrates an interactive flow diagram of a mass transit station determination method in accordance with an embodiment of the present invention;

FIG. 5 schematically illustrates a flow chart for determining whether a mass transit station is present in accordance with an embodiment of the present invention;

fig. 6 schematically shows a flowchart of a public transportation station judgment method according to another embodiment of the present invention;

fig. 7 schematically shows a block diagram of a public transportation station judgment device according to an embodiment of the present invention;

fig. 8 schematically shows a detailed block diagram of a public transportation station judgment device according to an embodiment of the present invention;

fig. 9 schematically shows a block diagram of a public transportation station judgment device according to another embodiment of the present invention.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the invention.

Furthermore, the drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

Fig. 1 is a schematic diagram illustrating a system architecture of an exemplary application environment to which a method and an apparatus for determining a public transportation station according to an embodiment of the present invention can be applied.

As shown in fig. 1, the system architecture 100 may include multiple ones of the

mobile terminals

101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a medium for communication links between the

mobile terminals

101, 102, 103 and the server 105. The network 104 may include various connection types, such as wireless communication links and the like.

It should be understood that the number of mobile terminals, networks, and servers in fig. 1 is merely illustrative. There may be any number of mobile terminals, networks, and servers, as desired for implementation. For example, server 105 may be a server cluster comprised of multiple servers, or the like.

The

mobile terminals

101, 102, 103 may be various electronic devices having a processor including, but not limited to, smart phones, tablet computers, portable computers, and the like. The server 105 may be a server that provides various services. For example, the

mobile terminals

101, 102, 103 may calculate the current user behavior state through the processor and upload the calculation results to the server 105. The server 105 may determine whether a target location is a public transportation station according to information about changes in user behavior states of a plurality of mobile terminals at the target location.

FIG. 2 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device to implement an embodiment of the invention.

It should be noted that the computer system 200 of the electronic device shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiment of the present invention.

As shown in fig. 2, the computer system 200 includes a Central Processing Unit (CPU)201 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data necessary for system operation are also stored. The CPU 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.

The following components are connected to the I/O interface 205: an input portion 206 including a keyboard, a mouse, and the like; an output section 207 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN card, a modem, or the like. The communication section 209 performs communication processing via a network such as the internet. A drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 210 as necessary, so that a computer program read out therefrom is mounted into the storage section 208 as necessary.

In particular, according to an embodiment of the present invention, the processes described below with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 209 and/or installed from the removable medium 211. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 201.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 3. The technical scheme of the embodiment of the invention is explained in detail as follows:

the present exemplary embodiment first provides a public transportation station determination method. The public transportation station judgment method may be performed by the server 105, and accordingly, a public transportation station judgment device is generally provided in the server 105. Referring to fig. 3, the method may include the steps of:

and S310, acquiring user behavior states of a plurality of mobile terminals.

In this exemplary embodiment, the mobile terminal may include a smart phone, a tablet computer, a portable computer, and the like, which is not particularly limited in this exemplary embodiment. On many mobile terminals, an Activity Recognitio (AR) function may be implemented; through the behavior recognition function, user behavior states such as a stationary state, a walking state, a running state, a riding state, a driving and sitting state, and the like can be recognized. Of course, those skilled in the art may also obtain the user behavior state of each mobile terminal in other ways, which also falls into the scope of the present invention.

After the mobile terminal identifies the user behavior state, the related data can be actively uploaded to the server, so that the server can acquire the user behavior state of each mobile terminal; certainly, the server can also actively collect the data related to the user behavior state identified by each mobile terminal through scripts and other modes; this is not particularly limited in the present exemplary embodiment. In addition, in order to achieve accurate site determination, in the present exemplary embodiment, the number of the mobile terminals may be multiple, such as two or more.

Step S320, determining a target position.

In the present exemplary embodiment, when determining whether a position, i.e., a target position, is a public transportation station, it is mainly involved in determining whether a new public transportation station appears and determining whether a recorded public transportation station is no longer a public transportation station. When judging whether a new public transportation station appears, the target position generally cannot be known in advance, so that the positions of some suspected public transportation stations need to be determined as the target position in combination with user behavior state information of the mobile terminal or in combination with empirical data and the like. When it is determined whether the recorded public transportation station is no longer a public transportation station, a specified position, i.e., a position marked as a public transportation station, may be determined as the target position. Of course, in other exemplary embodiments of the present disclosure, the target position may be determined in other ways; for example, the position is artificially determined as the target position or randomly determined as the target position, etc., which is not particularly limited in the present exemplary embodiment.

Step S330, determining the change information of the user behavior states of the plurality of mobile terminals at the target position.

After acquiring the user behavior states of the plurality of mobile terminals, change information of the user behavior states of the respective mobile terminals at the target position may be determined based thereon. For example, at a first time, the user behavior state of the mobile terminal at the target position is a static state, and at a second time after the first time, the user behavior state of the mobile terminal at the target position is a driving state, so that the user behavior state of the mobile terminal at the target position changes; in contrast, if at the target position, only the user behavior states of the plurality of mobile terminals are acquired as driving states, and the user behavior state of the mobile terminal that is not acquired is changed into a static state, it may be considered that the user behavior state of each mobile terminal at the target position is not changed.

Step S340, determining whether the target position is a public transport station or not according to the change information of the user behavior states of the mobile terminals at the target position.

Based on the change information of the user behavior states of the mobile terminals at the target position, and combined with the general performance behavior data of the passengers at the public transportation stops in the actual scene, whether the target position is the public transportation stop can be judged. Further, in the present example embodiment, the public transportation vehicle may be any vehicle capable of carrying multiple passengers and being able to pick up and drop off passengers at one or more fixed locations; according to different classifications, the mass transit vehicle in the present exemplary embodiment may be a land, water or air vehicle, a motor vehicle or a non-motor vehicle. By way of specific example, the public transportation means in the present exemplary embodiment may be a bus, a public transportation vehicle, a subway, a passenger train, a passenger aircraft, a school bus, a regular bus, a travel cable car, and the like; accordingly, the public transportation station in this exemplary embodiment may be a bus station, a subway station, a train station, an airport, a regular bus station, a school bus station, a tourist station, and the like, which is not limited in this exemplary embodiment.

Next, the above steps of the present exemplary embodiment will be described in more detail with reference to fig. 4 to 5.

In step S310, the mobile terminal may calculate a current user behavior state and upload the current user behavior state to the server, so that the server obtains the user behavior state of each mobile terminal. For example, as shown in fig. 4, the method may specifically include:

and S411, when the mobile terminal is calculated to be in a static state, recording the current time as a static state moment and recording the current position as a static state position by the mobile terminal, and uploading the static state identifier, the static state moment and the static state position as first data to the server.

For example, when the mobile terminal is calculated to be in a stationary state, a current position L1 of the mobile terminal may be obtained by a Positioning module in the mobile terminal, such as a GPS (Global Positioning System) Positioning module, a BDS (BeiDou Navigation Satellite System) Positioning module, and the like, and the current time point T1 is recorded. Then, a Static state identifier (such as Static), a Static state time T1 and a Static state position L1 are packaged as first data to be uploaded to the server.

In addition, the first data may further include Unique identification information of the Mobile terminal, such as an IMEI (International Mobile Equipment Identity), a GUID (global Unique Identifier), a MAC address, or the like; the source of the first data can be accurately distinguished through the unique identification information of the mobile terminal. Of course, in other exemplary embodiments of the present invention, the source of the first data may also be distinguished by a user name, a user number, a user ID, and the like, which is not particularly limited in this exemplary embodiment.

Step s421, after receiving the first data uploaded by each mobile terminal, the server may determine that the mobile terminal is in the static state according to the first data, and may know the static state time and the static state position. For example, the plurality of first data received by the server may be as follows in table 1:

TABLE 1

Status identification	Time of state	Position of state	Unique markSign board	Note
					Static	09:00	(east longitude x1, north latitude y1)	IMEI 1	Mobile terminal A
Static	09:08	(east longitude x1, north latitude y1)	IMEI 2	Mobile terminal B
					Static	09:10	(east longitude x1, north latitude y1)	IMEI 3	Mobile terminal C
Static	10:15	(east longitude x2, north latitude y2)	IMEI 1	Mobile terminal A
					Static	10:15	(east longitude x2, north latitude y2)	IMEI 4	Mobile terminal D

And S412, when the mobile terminal is in the driving state obtained through calculation, the mobile terminal records that the current time is the driving state moment, and uploads the driving state identification and the driving state moment to the server as second data.

For example, when the mobile terminal is calculated to change from the stationary state to the driving state, the mobile terminal may record the current time point T2. Then, the driving state identifier (such as Move) and the driving state time T2 are packaged as second data and uploaded to the server. Since the mobile terminal can be considered to be still at the above-mentioned stationary state position L1 when changing from the stationary state to the driving state, the second data may not include the position information, thereby reducing the system consumption and the data transmission amount. Of course, in order to improve the accuracy, the second data may also include location information, which is not particularly limited in this exemplary embodiment.

Likewise, the second data may also include unique identification information of the mobile terminal, such as IMEI, GUID, or MAC address; the source of the second data can be accurately distinguished through the unique identification information of the mobile terminal. Currently, in other exemplary embodiments of the present invention, the source of the second data may also be distinguished by a user name, a user number, and the like, which is not particularly limited in this exemplary embodiment.

Step S422. correspondingly, after the server receives the second data, the server can determine that the mobile terminal is in the driving state according to the second data uploaded by each mobile terminal, and can know the driving state moment. For example, each first data received by the server may be as follows in table 2:

TABLE 2

It should be noted that, in the present exemplary embodiment, the mobile terminal actively uploads the data related to the user behavior state to the server, and in other exemplary embodiments, the server may actively collect the data related to the user behavior state, which is recognized by each mobile terminal, through a script or the like. Meanwhile, according to the requirement, the behavior state of the user can be not limited to a static state and a driving state; for example, a walking state or the like may also be included. Further, in the present exemplary embodiment, the user behavior state is calculated by the mobile terminal; however, in other exemplary embodiments of the present invention, the mobile terminal may also upload basic data required for calculating the user behavior state, such as wireless network characteristic information or sensor information of the mobile terminal, to the server, and the server completes the calculation of the user behavior state, which also belongs to the protection scope of the present invention.

In steps S320 to S340, the server may determine whether the target location is a public transportation station according to change information of user behavior states of the plurality of mobile terminals at the target location. This mainly includes determining whether a new public transportation station is present and determining whether a recorded public transportation station is no longer a public transportation station.

For the first case, the target position is generally not known in advance, so the target position needs to be determined according to step S320 first. Specifically, if a location is a public transportation stop, an unoccupied person usually waits at the location, i.e., is at a standstill. Therefore, when determining whether a new public transportation station is present, the above-described target position may be determined first from the stationary-state position. For example, the stationary state position is position L1, and the target position is determined to be position L1.

As shown in fig. 5, after determining the target location, determining whether the target location is a public transportation station according to change information of user behavior states of the plurality of mobile terminals at the target location may include:

step 510, judging whether the change information of the plurality of mobile terminals at the target positions meets a preset condition according to the first data and the second data. In the present exemplary embodiment, the preset condition may be determined according to the general performance behavior of the passenger at the public transportation stop. For example:

people waiting for a bus usually wait at a public transportation station, i.e. are in a static state; after the public transport means arrives at the station, the person waiting for the bus can take the public transport means to become a passenger; after the start of the public transport vehicle, all passengers will enter the driving state at the same time. That is, if a location is a public transportation station, in the location, there is generally a case where a plurality of mobile terminals change from a stationary state to a traveling state at the same time. Based on this, determining whether the change information of the plurality of mobile terminals at the target positions satisfies a preset condition may include:

and judging whether the number of the mobile terminals of which the user behavior states are changed from the static states to the driving states at the target position at the same time is larger than a first threshold value or not according to the driving state time. The first threshold may be set according to experiments or experience, or may be obtained through training in a machine learning manner, which is not particularly limited in this exemplary embodiment. For example, taking the first threshold equal to 1 as an example, based on the data in table 1 and table 2, the driving state time of mobile terminal a and mobile terminal B is 09:12 at the (east longitude x1, north latitude y1) position. The number of the mobile terminals of which the change information meets the preset condition at the target position is 2, which is greater than the first threshold value 1. Therefore, the (east longitude x1, north latitude y1) position can be judged as the public transportation node. Similarly, the position (east longitude x2, north latitude y2) can also be determined as the public transportation node.

Further, the arrival time of different waiting persons at the public transportation station is different, and the waiting time of different waiting persons at the public transportation station is different, namely the duration time of the static state of each mobile terminal is not identical. Based on this, determining whether the change information of the plurality of mobile terminals at the target positions satisfies a preset condition may further include:

and determining the duration time of the static state of each mobile terminal according to each static state moment and driving state moment, and judging whether the duration time of the static state is consistent. For example, based on the data in table 1 and table 2, at the (east longitude x2, north latitude y2) position, the stationary state time of mobile terminal a and mobile terminal D is 10:15, and the driving state time is 10: 16; the duration of the stationary state of the mobile terminal a and the mobile terminal B is consistent, and both are 1 minute. Therefore, the (east longitude x2, north latitude y2) position can be considered as doubtful as the conclusion of the public transportation node; it is possible that (east longitude x2, north latitude y2) the location is not a public transportation node, but one minute of traffic jam, the holder of mobile terminal a and mobile terminal B is always on the car; it is also possible that (east longitude x2, north latitude y2) the location is indeed a public transportation node, the holders of mobile terminal a and mobile terminal B are on board and not off board; therefore, more information may be needed to make a more accurate determination. Similarly, if the (east longitude x1, north latitude y1) position meets the condition, it can be considered that the (east longitude x1, north latitude y1) position is further confirmed as the conclusion of the public transportation node. From the above, more accurate judgment can be performed by combining more preset conditions.

In a practical scenario, the passenger typically walks for a period of time after getting off the vehicle. Based on this, in other exemplary embodiments of the present invention, other preset conditions may also be set accordingly. For example, whether the user behavior states of a plurality of mobile terminals at the target position are changed from a driving state to a stopping state and then to a walking state in sequence or not is determined. Therefore, the setting of the preset conditions in the present exemplary embodiment is not particularly limited, and those skilled in the art may set different preset conditions according to actual situations.

And S520, if the preset condition is met, determining that the target position is a public transport station.

After the judgment result of the public transportation stop is obtained, the server can update the public transportation stop in the map database, and correspondingly, the map client on the mobile terminal can display the newly added public transportation stop.

For the second case, in step S320, a designated location, i.e., a location labeled as a public transportation station, may be determined as the target location. After determining the target location, one of the manifestations is that at this location the company vehicle is no longer parked, if the target location is no longer a public transportation node. Based on this, determining whether the target location is a public transportation station according to the change information of the user behavior states of the plurality of mobile terminals at the target location may include:

determining that the target location is not a public transportation station if the user behavior states of the plurality of mobile terminals do not change at the target location. That is, if the user behavior states of the plurality of mobile terminals do not change at the target location, such as remaining in a driving state and not changing to a stationary state all the time, it may be determined that the company vehicle is no longer parked at the target location, and it may be determined that the target location is not a public transportation station. Of course, in other exemplary embodiments of the present invention, a person skilled in the art may determine that the mobile terminal is no longer a public transportation station according to other change information of the user behavior states of the multiple mobile terminals at the target location according to the actual situation, which is not particularly limited in this exemplary embodiment.

After the judgment result of the public transportation station is obtained, the server can update the transportation station in the map database, and correspondingly, the map client on the mobile terminal can remove the station label which is no longer the public transportation station.

Further, another method for determining a public transportation station is also provided in the present exemplary embodiment. The public transportation station judgment method may be performed by the

mobile terminals

101, 102, 103, and accordingly, public transportation station judgment means may be provided in the

mobile terminals

101, 102, 103. Referring to fig. 6, the method may include the steps of:

and S610, calculating the user behavior state of the current mobile terminal.

In this example embodiment, the user behavior state of the mobile terminal may be calculated according to the wireless network feature information collected by the mobile terminal. The wireless network characteristic information is also called wireless network fingerprint characteristic; through the change of the wireless network characteristic information, the current user behavior state of the mobile terminal can be calculated. For example:

the mobile terminal can determine the current user behavior state of the mobile terminal through the change of data such as Service Set Identifiers (SSIDs) and Received Signal Strength Indicators (RSSIs) of one or more Wi-Fi access points which are scanned currently. For example, at time T1 to time T2, the service set identifier and the received signal strength indication of the Wi-Fi access point scanned by the mobile terminal remain substantially unchanged, and it may be determined that the mobile terminal is in a stationary state at time T1 to time T2; conversely, if the service set identifier of the Wi-Fi access point and the received signal strength indication scanned by the mobile terminal have been changing, it may be determined that the mobile terminal is in a motion state from time T1 to time T2.

Of course, the mobile terminal may also calculate the user behavior state of the mobile terminal through other wireless network characteristic information. For example, the mobile terminal may determine the current user behavior state of the mobile terminal through changes in currently scanned data, such as cell identification of a cellular network and Received Signal Strength Indication (RSSI). Therefore, the present exemplary embodiment is not limited thereto.

In this exemplary embodiment, the user behavior state of the mobile terminal may be calculated according to sensor information of the mobile terminal. For example:

a large number of sensors, such as an acceleration sensor, a direction sensor, a gyroscope sensor, and the like, are generally installed on a mobile terminal, such as a smart phone. The motion information of the mobile terminal can be collected through the acceleration sensor, the direction sensor or the gyroscope sensor, and then the user behavior state of the mobile terminal can be calculated according to the collected motion information.

Of course, the mobile terminal may also calculate the user behavior state of the mobile terminal through other sensor information. For example, the mobile terminal may acquire light intensity, color or determine visual characteristic information by a characteristic recognition device through an image sensor (such as a camera), and then may determine a current user behavior state of the mobile terminal based on the visual characteristic information. Therefore, the present exemplary embodiment is not limited thereto.

After the wireless network characteristic information or the sensor information is obtained, the user behavior state of the mobile terminal can be calculated in various ways. For example, calculating the user behavior state of the mobile terminal is essentially a classification problem, and therefore machine learning models such as a random forest model, a deep neural network model, a support vector machine model, a lifting tree model, a general linear model, and a gradual gradient regression tree model can be trained based on sample data; and then the acquired wireless network characteristic information or sensor information is used as the input of a machine learning model obtained by training, so that the user behavior state of the mobile terminal can be calculated.

It should be noted that, in order to improve the accuracy of the calculated user behavior state of the mobile terminal, in other exemplary embodiments of the present invention, the user behavior state of the mobile terminal may also be calculated by combining the two manners or more manners. Meanwhile, a person skilled in the art may also obtain the user behavior state of each mobile terminal in other manners, which also belongs to the protection scope of the present invention.

And S620, uploading the calculated user behavior states to a server, so that the server determines whether the target position is a public transport station or not according to the change information of the user behavior states of the mobile terminals at the target position.

In this example embodiment, uploading the user behavior state of the mobile terminal to the server may include: when the mobile terminal is calculated to be changed into a static state, recording the current time as a static state moment and recording the current position as a static state position, and uploading the static state identifier, the static state moment and the static state position as first data to the server; and when the mobile terminal is calculated to be changed into the driving state, recording the current time as the driving state moment, and uploading the driving state identification and the driving state moment to the server as second data. That is, in the present exemplary embodiment, the data corresponding to each user behavior state of the mobile terminal is only uploaded when the user behavior state starts, and the related data may not be uploaded at other times; therefore, the data transmission quantity can be reduced, the computing resource consumption of the server side is reduced, and the data storage space occupation of the server side is reduced.

It should be noted that although the steps of the methods of the present invention are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Further, in the present exemplary embodiment, a public transportation station determination apparatus is also provided. The public transport station judging device can be applied to a server side. Referring to fig. 7, the public transportation station judging apparatus 700 may include a user behavior state acquiring module 710, a target position determining module 720, a change information calculating module 730, and a station judging module 740. Wherein:

the user behavior state acquisition module 710 may be configured to acquire user behavior states of a plurality of mobile terminals.

The target location determination module 720 may be used to determine a target location.

The change information calculation module 730 may be configured to determine change information of the user behavior states of the plurality of mobile terminals at the target location.

The station judging module 740 may be configured to determine whether a target location is a public transportation station according to change information of user behavior states of the plurality of mobile terminals at the target location.

Referring to fig. 8, in the present exemplary embodiment, the user behavior state acquisition module 710 may include a stationary state acquisition unit 811 and a driving state acquisition unit 812. Wherein:

the static state obtaining unit 811 may be configured to determine that the mobile terminal is in a static state according to the first data uploaded by each mobile terminal; the first data includes a static state identifier, a static state time and a static state position.

The driving state obtaining unit 812 may be configured to determine that the mobile terminal is in a driving state according to the second data uploaded by each mobile terminal; the second data comprises a driving state identifier and driving state time.

With continued reference to fig. 8, in the present exemplary embodiment, the target position determination module 720 may include a first target position determination unit 821. Wherein:

the first target position determination unit 821 may be configured to determine the target position according to the still state position.

With continued reference to fig. 8, in the present exemplary embodiment, the site judgment module 740 may include a first condition matching unit 822 and a first site determination unit 823. Wherein:

the first condition matching unit 822 may be configured to determine whether change information of the plurality of mobile terminals at the target positions meets a preset condition according to each of the first data and the second data;

the first station determining unit 823 may be configured to determine that the target position is a public transportation station when the preset condition is satisfied.

In this exemplary embodiment, determining whether the change information of the plurality of mobile terminals at the target positions meets a preset condition according to each of the first data and the second data includes:

In this exemplary embodiment, determining whether the change information of the plurality of mobile terminals at the target positions meets a preset condition according to each of the first data and the second data further includes:

In the present exemplary embodiment, the target position determination module may further include a second target position determination unit 824. Wherein:

the second target position determination unit 824 may be configured to determine a specified position as the target position.

In the present exemplary embodiment, the station judging module 740 may include a second condition matching unit 825 and a second station determining unit 826. Wherein:

the second condition matching unit 825 may be configured to determine whether user behavior states of the plurality of mobile terminals change at the target location;

the second station determining unit 826 may be configured to determine that the target location is not a public transportation station when the user behavior states of the plurality of mobile terminals do not change at the target location.

Further, in the present exemplary embodiment, another public transportation station determination device is also provided. The public transportation station judging device can be applied to a mobile terminal. Referring to fig. 9, the public transportation station judging apparatus 900 may include a behavior state calculating module 910 and a behavior state uploading module 920. Wherein:

the behavior state calculation module 910 may be configured to calculate a user behavior state of the current mobile terminal;

the behavior state uploading module 920 may be configured to upload the user behavior states of the mobile terminals to a server, so that the server determines whether a target location is a public transportation station according to change information of the user behavior states of a plurality of mobile terminals at the target location.

In the present exemplary embodiment, calculating and uploading the user behavior state of the current mobile terminal to the server includes:

In this exemplary embodiment, the behavior state uploading module may include a first data uploading unit and a second data uploading unit. Wherein:

the first data uploading unit may be configured to record, when the mobile terminal changes to the stationary state by calculation, a current time as a stationary state time and a current position as a stationary state position, and upload the stationary state identifier, the stationary state time, and the stationary state position as first data to the server; the second data uploading unit may be configured to record a current time as a driving state time when the mobile terminal is calculated to be changed into the driving state, and upload the driving state identifier and the driving state time to the server as second data.

The details of each module/unit in the public transportation station determining apparatus have been described in detail in the corresponding method embodiment section, and are not described herein again.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the invention. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims

1. A public transportation station judgment method, comprising:

acquiring user behavior states of a plurality of mobile terminals;

determining a target position;

and judging whether the target position is a public transport station or not according to the change information that the user behavior states of the plurality of mobile terminals are changed from the static state to the driving state at the target position at the same time.

2. The method of claim 1, wherein obtaining the user behavior states of the plurality of mobile terminals comprises:

3. The mass transit stop determination method of claim 2, wherein the determining a target location comprises:

and determining the target position according to the static state position.

4. The method according to claim 3, wherein determining whether the target location is a public transportation station according to change information that the user behavior states of the plurality of mobile terminals change from a stationary state to a driving state at the target location at the same time comprises:

judging whether the change information of the plurality of mobile terminals from the static state to the driving state at the target position simultaneously meets a preset condition or not according to the first data and the second data;

5. The method as claimed in claim 4, wherein the determining whether the change information of the plurality of mobile terminals from the static state to the driving state at the target position at the same time satisfies a preset condition according to the first data and the second data comprises:

6. The method as claimed in claim 5, wherein the step of determining whether the change information of the plurality of mobile terminals from the stationary state to the driving state at the target position at the same time satisfies a preset condition according to the first data and the second data further comprises:

7. The mass transit stop determination method of claim 1, wherein the determining a target location comprises:

and determining a designated position as the target position.

8. The method as claimed in claim 7, wherein determining whether the target location is a public transportation station according to the change information that the user behavior states of the plurality of mobile terminals change from a stationary state to a driving state at the target location at the same time comprises:

and if the user behavior states of the plurality of mobile terminals are not changed from the static state to the driving state at the target position at the same time, determining that the target position is not a public transportation station.

9. A public transportation station judgment method, comprising:

calculating the user behavior state of the current mobile terminal;

and uploading the user behavior states of the mobile terminals to a server, so that the server determines whether the target position is a public transport station or not according to the change information that the user behavior states of the mobile terminals change from a static state to a driving state at the same time at the target position.

10. The method of claim 9, wherein calculating and uploading the user behavior state of the current mobile terminal to the server comprises:

11. The method of claim 9, wherein calculating and uploading the user behavior state of the current mobile terminal to the server comprises:

when the mobile terminal is calculated to be changed into a static state, recording the current time as a static state moment and recording the current position as a static state position, and uploading a static state identifier, the static state moment and the static state position as first data to the server;

12. A public transportation station judgment device characterized by comprising:

and the station judging module is used for determining whether the target position is a public transport station or not according to the change information that the user behavior states of the plurality of mobile terminals are changed from the static state to the driving state at the same time at the target position.

13. The device according to claim 12, wherein the user behavior state obtaining module comprises a static state obtaining unit and a driving state obtaining unit; wherein:

the static state acquisition unit is used for determining that the mobile terminal is in a static state according to the first data uploaded by each mobile terminal; the first data comprises a static state identifier, a static state moment and a static state position;

14. The apparatus of claim 13, wherein the target position determination module comprises a first target position determination unit; wherein:

the first target position determining unit is used for determining the target position according to the static state position.

15. The apparatus of claim 14, wherein the station determining module comprises a first condition matching unit and a first station determining unit, wherein:

the first condition matching unit is used for judging whether the change information of the plurality of mobile terminals from the static state to the driving state at the target position simultaneously meets a preset condition or not according to the first data and the second data;

the first station determining unit is used for determining that the target position is a public transport station when the preset condition is met.

16. The apparatus according to claim 15, wherein the first condition matching unit determines whether the change information of the plurality of mobile terminals from the static state to the driving state at the target position at the same time satisfies a preset condition according to each of the first data and the second data, and includes:

and the first condition matching unit judges whether the number of the mobile terminals of which the user behavior states are changed from the static states to the driving states at the target position at the same time is larger than a first threshold value or not according to the driving state time.

17. The apparatus according to claim 16, wherein the first condition matching unit determines whether the change information of the plurality of mobile terminals from the static state to the driving state at the target position at the same time satisfies a preset condition according to each of the first data and the second data, further comprising:

and the first condition matching unit determines the duration time of the static state of each mobile terminal according to each static state moment and driving state moment and judges whether the duration time of the static state is consistent.

18. The apparatus of claim 12, wherein the target position determination module comprises a second target position determination unit, wherein:

the second target position determination unit is used for determining a designated position as the target position.

19. The apparatus of claim 18, wherein the station determining module comprises a second condition matching unit and a second station determining unit, wherein:

the second condition matching unit is used for judging whether the user behavior states of the plurality of mobile terminals are changed from a static state to a driving state at the target position at the same time;

the second station determining unit is used for determining that the target position is not a public transport station when the user behavior states of the plurality of mobile terminals are not changed from a static state to a driving state at the target position at the same time.

20. A public transportation station judgment device characterized by comprising:

the user behavior state calculation module is used for calculating the user behavior state of the current mobile terminal;

and the user behavior state uploading module is used for uploading the user behavior states of the mobile terminals to a server so that the server determines whether the target position is a public transport station or not according to the change information that the user behavior states of the mobile terminals change from a static state to a driving state at the same time at the target position.

21. The apparatus of claim 20, wherein the means for calculating the user behavior state of the current mobile terminal and uploading the user behavior state to the server comprises:

and the user behavior state calculation module calculates the user behavior state of the mobile terminal according to the wireless network characteristic information acquired by the mobile terminal and/or the sensor information of the mobile terminal.

22. The apparatus of claim 20, wherein the behavior state upload module comprises a first data upload unit and a second data upload unit, wherein:

the second data uploading unit is used for recording the current time as the driving state moment when the mobile terminal is calculated to be changed into the driving state, and uploading the driving state identification and the driving state moment to the server as second data.

23. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the public transportation station judgment method according to any one of claims 1 to 11.

24. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the mass transit station judging method according to any one of claims 1 to 11.