CN110752936A

CN110752936A - Flow charging method and device, storage medium and electronic equipment

Info

Publication number: CN110752936A
Application number: CN201911033582.2A
Authority: CN
Inventors: 贺俊
Original assignee: Zebra Network Technology Co Ltd
Current assignee: Zebra Network Technology Co Ltd
Priority date: 2019-10-28
Filing date: 2019-10-28
Publication date: 2020-02-04

Abstract

The disclosure belongs to the technical field of vehicle communication, and relates to a flow charging method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: acquiring application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and creating a flow database according to the flow data and the application programs; in a flow database, acquiring target flow data according to a target application program of a target vehicle owner user; and determining a target flow charging rule according to the target flow data based on the preset flow charging rule so as to charge the flow. On one hand, the charging rule of a target vehicle owner user is determined according to the flow and the service together, the operation strategies of different target application programs are dynamically updated, and the service value of an operator provider is greatly exerted; on the other hand, conversion and measurement of different dimensions, dimensions and modes are completed according to the traffic data of a large number of vehicle owner users, and the fact that the balance and balance of cost and benefits are not hung upside down is guaranteed.

Description

Flow charging method and device, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of vehicle communication technologies, and in particular, to a flow rate charging method, a flow rate charging apparatus, a computer-readable storage medium, and an electronic device.

Background

The intelligent internet automobile is listed as the development key point of '2025 made by China'. In the aspect of networking, more and more networking applications are widely installed on automobiles, including vehicles, vehicle-mounted electronic equipment, drivers, passengers and the like, and various networking service demands with different scenes and different characteristics exist. The traditional traffic service of the Internet of vehicles adopts a charging mode according to a single dimension of traffic scale. And the operator or the communication service provider collects the traffic fee to the owner user through package design according to the communication resource information contained in the traffic-scale dimension identification service. When a vehicle owner user uses the vehicle networking flow, an operator or a communication service party charges according to a flow package ordered by the vehicle owner, accumulates the current flow scale, judges whether the flow quota information contained in the package is reached, and correspondingly adopts control strategies such as a flow switch and speed-limiting use.

However, traditional car networking simply charges on a traffic scale and is not an ideal model. The use perception of the car owner is not visual, the wrong judgment conditions such as flow stealing and waste are easily caused, and the service value and the burden of the cost of the car networking operator cannot be reflected. With the gradual popularization of the 5G technology, the traditional charging mode according to the traffic scale cannot adapt to the high traffic scale service in the 5G network.

In view of this, there is a need in the art to develop a new traffic charging method and apparatus.

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 disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure is directed to a traffic charging method, a traffic charging apparatus, a computer-readable storage medium, and an electronic device, which overcome the problem of a single traffic charging manner due to limitations of related art at least to some extent.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to an aspect of the present disclosure, there is provided a traffic charging method, the method including: acquiring application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and creating a flow database according to the flow data and the application programs; in the flow database, acquiring target flow data according to a target application program of a target vehicle owner user; and determining a target flow charging rule according to the target flow data based on a preset flow charging rule so as to charge the flow.

In an exemplary embodiment of the present disclosure, the preset traffic charging rule includes: the charging method comprises the steps of a first charging rule taking a time dimension as a dimension, a second charging rule taking a frequency dimension as a dimension and a third charging rule taking a region dimension as a dimension.

In an exemplary embodiment of the present disclosure, the method further comprises: comparing the target flow charging rule determined last time with the target flow charging rule determined this time, and judging whether the target flow charging rules of the two times generate difference; and if the target flow charging rules generate differences, adjusting the target flow charging rules and carrying out subsequent flow charging.

In an exemplary embodiment of the present disclosure, the obtaining, in the traffic database, target traffic data according to a target application of a target vehicle owner user includes: in the flow database, counting the flow data and the application program to establish a flow use statistical rule of the flow data and the application program; and acquiring the target flow data according to a target application program of the owner user of the target vehicle based on the flow use statistical rule.

In an exemplary embodiment of the present disclosure, the method further comprises: providing the target application program for the target owner user based on the flow usage statistical rule; providing a first application program corresponding to a first target vehicle enterprise user based on the traffic usage statistical rule; and providing a second application program corresponding to a second target vehicle-enterprise user based on the flow usage statistical rule.

In an exemplary embodiment of the present disclosure, the application programs include a native application program and a web application program.

In an exemplary embodiment of the present disclosure, the acquiring application programs of a plurality of owner users and traffic data corresponding to the application programs includes: acquiring the native application programs used by a plurality of owner users and native flow data corresponding to the native application programs; and acquiring the network application program used by a plurality of vehicle owner users and non-native flow data corresponding to the network application program.

According to an aspect of the present disclosure, there is provided a traffic charging apparatus, the apparatus including: the data recording module is configured to acquire application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and create a flow database according to the flow data and the application programs; the data acquisition module is configured to acquire target flow data according to a target application program of a target vehicle owner user in the flow database; and the flow charging module is configured to determine a target flow charging rule according to the target flow data based on a preset flow charging rule so as to charge the flow.

According to an aspect of the present disclosure, there is provided an electronic device including: a processor and a memory; wherein the memory has stored thereon computer readable instructions which, when executed by the processor, implement the traffic charging method of any of the above exemplary embodiments.

According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a traffic charging method in any of the above-described exemplary embodiments.

As can be seen from the foregoing technical solutions, the traffic charging method, the traffic charging apparatus, the computer storage medium, and the electronic device in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:

in the method and the device provided by the exemplary embodiment of the disclosure, on one hand, the charging rule of a target vehicle owner user is determined according to the flow and the service together, the operation strategies of different target application programs are dynamically updated, and the service value of an operator provider is greatly exerted; on the other hand, conversion and measurement of different dimensions, dimensions and modes are completed according to the traffic data of a large number of vehicle owner users, and it is ensured that the balance of cost and benefits is not hung over under different traffic charging rules.

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 disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

Fig. 1 schematically illustrates a flow chart of a traffic charging method in an exemplary embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a method of obtaining application and data traffic in an exemplary embodiment of the disclosure;

FIG. 3 schematically illustrates a flow chart of a method of obtaining target traffic data in an exemplary embodiment of the disclosure;

FIG. 4 is a flow diagram schematically illustrating a method for determining an application based on a user in an exemplary embodiment of the disclosure;

fig. 5 is a flowchart schematically illustrating a method for adjusting a target traffic charging rule in an exemplary embodiment of the disclosure;

fig. 6 is a schematic structural diagram illustrating a method of billing a conventional internet of vehicles according to a traffic scale;

fig. 7 is a schematic structural diagram illustrating a traffic charging method in an exemplary embodiment of the disclosure;

fig. 8 is a schematic structural diagram illustrating a traffic charging apparatus according to an exemplary embodiment of the present disclosure;

fig. 9 schematically illustrates an electronic device for implementing a traffic charging method in an exemplary embodiment of the present disclosure;

fig. 10 schematically illustrates a computer-readable storage medium for implementing a traffic charging method in an exemplary embodiment of the disclosure.

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 give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

The terms "a," "an," "the," and "said" are used in this specification to denote the presence of one or more elements/components/parts/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first" and "second", etc. are used merely as labels, and are not limiting on the number of their objects.

Furthermore, the drawings are merely schematic illustrations of the present disclosure 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.

Aiming at the problems in the related art, the disclosure provides a flow charging method. Fig. 1 shows a flow chart of a traffic charging method, and as shown in fig. 1, the traffic charging method at least includes the following steps:

and S110, acquiring application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and creating a flow database according to the flow data and the application programs.

And S120, acquiring target flow data in a flow database according to a target application program of a target vehicle owner user.

And S130, determining a target flow charging rule according to the target flow data based on the preset flow charging rule so as to charge the flow.

In the exemplary embodiment of the present disclosure, on one hand, the charging rule of the target vehicle owner user is determined according to the traffic and the service together, the operation strategies of different target application programs are dynamically updated, and the service value of the operator provider is greatly exerted; on the other hand, conversion and measurement of different dimensions, dimensions and modes are completed according to the traffic data of a large number of vehicle owner users, and it is ensured that the balance of cost and benefits is not hung over under different traffic charging rules.

The respective steps of the flow charging method are explained in detail below.

In step S110, application programs of a plurality of owner users and traffic data corresponding to the application programs are obtained, and a traffic database is created according to the traffic data and the application programs.

In an exemplary embodiment of the present disclosure, the application programs include a native application program and a web application program. The native application program can be an application program which is specific to the mobile platform and is written by using a development tool and a language supported by the corresponding platform; the network application program can be a cross-platform mobile application program constructed by a mobile development method which can be randomly operated only by writing once. Also, the native application may be content authorization by the vehicle networking content provider in the vehicle mounted scenario, and the web application may be service authorization by the vehicle networking service provider in the vehicle mounted scenario.

In an alternative embodiment, fig. 2 shows a flow chart of a method for acquiring application programs and data traffic, and as shown in fig. 2, the method at least comprises the following steps: in step S210, native applications used by a plurality of owner users and native flow data corresponding to the native applications are obtained. The conditions of a plurality of owner users using the native application programs and corresponding native flow data can be obtained from the accessed Internet of vehicles content provider, and the conditions of a large number of owner users are recorded. In step S220, a network application used by a plurality of owner users and non-native traffic data corresponding to the network application are obtained. The conditions of a plurality of owner users using the network application program and corresponding non-native flow data can be obtained from the accessed Internet of vehicles service provider, and the conditions of a large number of owner users are recorded. In the exemplary embodiment, the use conditions of the native application and the network application of the majority of the vehicle owner users can be recorded, a data source for data analysis and processing is provided, and a decision basis is provided for flow charging.

According to the data conditions of the primary application program and the corresponding primary flow data of the owner user and the data conditions of the network application program and the corresponding non-primary flow data, the primary application program and the corresponding non-primary flow data can be stored to create a flow database.

In step S120, target traffic data is obtained from the target application of the target owner user in the traffic database.

In an exemplary embodiment of the present disclosure, fig. 3 shows a flowchart of a method for acquiring target traffic data, which, as shown in fig. 3, includes at least the following steps: in step 310, the traffic data and the application program are counted in the traffic database to establish a traffic usage statistical rule of the traffic data and the application program. And calculating and refining the data characteristics and statistical rules of the flow data and the application programs under the actual application scene on the basis of the flow data and the application programs of a plurality of owner users to form a flow use statistical rule. In step S320, target traffic data is obtained according to the target application of the target owner user based on the traffic usage statistical rule. And determining target flow data after determining the target application program of the target user according to the counted mapping relation between the application program and the data flow. In the exemplary embodiment, a method for determining target flow data according to the flow use statistical rule is provided, the determination mode is more scientific and corresponds to one another, the determination speed is higher, and the accuracy is higher.

In an alternative embodiment, fig. 4 shows a flow chart of a method for determining an application program according to a user, as shown in fig. 4, the method at least comprises the following steps: in step S410, a target application is provided for the target owner user based on the traffic usage statistical rules. The user in the Internet of vehicles can have a target owner user. The internet of vehicles operator can provide daily used product functions and service applications, namely target application programs, for target owner users according to the traffic usage statistical rule. In step S420, a first application corresponding to a first target vehicle-enterprise user is provided based on the traffic usage statistics. There may be a first target vehicle enterprise user on the user of the Internet of vehicles. The vehicle networking operator can provide the product function and the application service which are carried in front, namely the first application program, for the first target vehicle enterprise user according to the traffic usage statistical rule. In step S430, a second application corresponding to a second target vehicle-enterprise user is provided based on the traffic usage statistics. There may be a second destination vehicle-enterprise user on the user of the Internet of vehicles. The car networking operator can provide corresponding product functions and service applications for second target car enterprise users, such as advertising companies or insurance companies, according to the traffic usage statistical rules, namely, a second application program, so that the car networking operator can conveniently use the second target car enterprise users and the target car owner users. In the exemplary embodiment, different application programs can be provided for three users of the internet of vehicles based on the traffic usage statistical rule, so that the coverage of the internet of vehicles service is more comprehensive.

In step S130, a target traffic charging rule is determined according to the target traffic data based on a preset traffic charging rule, so as to perform traffic charging.

In an exemplary embodiment of the present disclosure, the preset traffic charging rules include a first charging rule in a dimension of time, a second charging rule in a dimension of frequency, and a third charging rule in a dimension of region. For example, for an application program of an audio/video multimedia service, a first charging rule for smooth use can be used; for a use-by-use application of remote diagnostics and service maintenance, a second billing rule may be used; for an application program in a specific Point of Information (POI) service area, such as parking and refueling, a third charging rule, that is, a charging rule in a geo-fence formed by longitude and latitude, may be used. In the exemplary embodiment, a differentiated charging scheme can be provided for different application programs, and the service value and cost burden of the internet of vehicles provider are fully exerted.

According to the preset flow charging rule, namely the target flow data, the target flow charging rule can be determined, and the flow service condition of the target application program is charged. In order to feed back the change of the use habits of different users along with the enrichment of software and the like in real time, the target flow charging rule can be adjusted in real time.

In an alternative embodiment, fig. 5 is a flowchart illustrating a method for adjusting a target traffic charging rule, where as shown in fig. 5, the method at least includes the following steps: in step S510, the target traffic charging rule determined last time is compared with the target traffic charging rule determined this time, and it is determined whether the target traffic charging rules of the two times are different. For example, the target vehicle owner user may charge the audio multimedia by using a monthly charging rule with smooth listening, when the charging duration is one month long, the target vehicle owner user may change the song listening habit or the song listening requirement, and select the charging rule with the number of times of using the audio multimedia as a dimension, so that the target traffic charging rules of the previous and subsequent times are different. In step S520, if the target traffic charging rule is different, the target traffic charging rule is adjusted to perform subsequent traffic charging. And according to the target flow charging rule changed by the target owner user, starting the flow charging. In the exemplary embodiment, the change of the traffic data use habits of the individual target vehicle owner users can be adjusted in real time among the charging rules of different dimensions, the charging mode is more accurate and scientific, and the forward feedback of the traffic charging to the traffic database can also be realized.

The following describes the traffic charging method in the embodiment of the present disclosure in detail with reference to an application scenario.

Fig. 6 is a schematic structural diagram illustrating a charging manner according to a flow scale in a conventional internet of vehicles, and as shown in fig. 6, a charging manner according to a single dimension of the flow scale is adopted for a conventional internet of vehicles flow service. And the operator or the communication service provider collects the traffic fee to the owner user through package design according to the communication resource information contained in the traffic-scale dimension identification service. When the car owner uses the car networking flow, the operator or the communication service party charges according to the flow package ordered by the car owner, accumulates the current flow scale, judges whether the flow quota information contained in the package is reached, and correspondingly adopts control strategies such as flow switch and speed limit use.

This charging is not an ideal model and has several disadvantages. Firstly, the use perception of the owner user is not intuitive, and wrong judgments such as flow stealing and waste are easily caused. In the process that a vehicle owner user uses various application programs of the vehicle networking in daily life, the user pays attention to the usability and convenience of the vehicle owner user, and relatively intuitive perception is in the dimensions of time and frequency, such as available time, accumulated available times and the like. To the extent that these applications on a vehicle consume a large amount of traffic per unit time/single use, the owner user is often unfamiliar with, and does not have to be fully aware of, the traffic. This leads to a mismatch between traditional per-traffic-scale charging and the perception of use by the owner user. Under the condition that a user of a vehicle owner cannot fully master the 'consumption of the own internet of vehicles at all' and 'why the own internet of vehicles is used so much', misjudgments such as 'running by stealing' and 'waste' of the traffic are easily caused.

Secondly, the service value and the burden of the cost of the vehicle networking operator cannot be embodied. Common car networking product functions and service applications such as map navigation, map updates, audio-video multimedia entertainment, voice interaction, remote control, remote upgrade, repair/maintenance/car insurance, in-vehicle WiFi, and the like. Behind the applications with different functions, there are corresponding Content providers/Service providers (CP/SP) for their support and authorization. Charging is simply based on the flow scale, which represents the service value of the communication resources of the operator, but cannot represent the contribution of the CP/SP accessed by the vehicle networking operator, so that the related cost burden becomes fuzzy.

And thirdly, the method is not suitable for high-flow-rate large-scale services under a 5G network. The 5G has the characteristics of ultrahigh speed, ultra-large connection, ultrahigh reliability and ultralow time delay, and the performances of time delay, reliability, speed, data packet size and the like are greatly improved. From this perspective, 5G is the basis for the implementation of autonomous driving. According to the prediction, the automatic driving automobile in the 5G environment can generate 20 GB/day data flow, the traditional charging according to the flow scale can not adapt to the high-flow-consumption service obviously, and the popularization and the application of the service can be hindered due to the overhigh flow charge.

Fig. 7 shows a schematic structural diagram of the traffic charging method of the present solution, and as shown in fig. 7, the access part of the product/service mainly includes an operator charging system, content provider authorization and service provider authorization. Wherein, the operator charging system is used for charging the car networking operators by a basic operator according to the flow gauge model; for example, the content provider authorization may be a content authorization provided by an audio/video multimedia content provider in a vehicle-mounted scenario, and the service provider authorization may be a service authorization provided by a map navigation service provider in the vehicle-mounted scenario.

The vehicle networking operator mainly comprises a vehicle owner flow and service use database, a multi-dimension multi-mode charging system, a big data module, an operation management module and operable product functions and service applications. The vehicle owner flow and service usage database, namely the flow database, can record and store daily flow data of a plurality of vehicle owners and usage data of application programs, is a data source analyzed and processed by the big data module, and provides decision basis for operation management and multi-dimensional and multi-mode charging. The multi-dimension multi-mode charging system can provide a multi-dimension multi-mode charging scheme for vehicle networking users according to the scene characteristics of the target application program. For example, a "pack of moon interest" billing model is provided in terms of a "day" dimension of a time dimension; a "several-use" billing model is provided in a "times" dimension of the frequency dimension. The big data module can calculate and refine data characteristics and statistical rules of flow and application use in an actual application scene on the basis of a flow database created by a large number of owner users. The operation management module can be a management center of an application program, and the activity of a user of the Internet of vehicles is improved by adopting an operation means. The operable product functions and service applications may be output operable product functions and service applications to a vehicle networking user.

The user of the Internet of vehicles can be a target vehicle owner user, a first target vehicle enterprise user and a second target vehicle enterprise user. The target owner user is also the owner user of the client, namely the C-end owner, and daily uses various product functions and service applications of the Internet of vehicles. The first target vehicle enterprise user is a B-end vehicle enterprise, is also a vehicle enterprise user of an enterprise end, and is provided with product functions and application services by a front-mounted vehicle networking operator. And the second target vehicle enterprise user, namely the third-party enterprise, purchases corresponding product functions and service applications from the vehicle networking operator, and provides the C end vehicle owner or the B end vehicle enterprise for use. Such as advertising companies, insurance companies, etc.

In addition, in the exemplary embodiment of the present disclosure, a traffic charging apparatus is also provided. Fig. 8 shows a schematic structure of the traffic charging apparatus, and as shown in fig. 8, the traffic charging apparatus 800 may include: a data recording module 810, a data acquisition module 820 and a flow charging module 830. Wherein:

the data recording module 810 is configured to acquire application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and create a flow database according to the flow data and the application programs; a data obtaining module 820 configured to obtain target traffic data according to a target application of a target vehicle owner user in a traffic database; and a traffic charging module 830 configured to determine a target traffic charging rule according to the target traffic data based on a preset traffic charging rule, so as to perform traffic charging.

The details of the above-mentioned traffic charging device have been described in detail in the corresponding traffic charging method, and therefore are not described herein again.

It should be noted that although several modules or units of the traffic charging apparatus 800 are mentioned in the above detailed description, such 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 present disclosure. 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.

Moreover, although the steps of the methods of the present disclosure 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.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

An electronic device 900 according to such an embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.

As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.

Wherein the storage unit stores program code that is executable by the processing unit 910 to cause the processing unit 910 to perform steps according to various exemplary embodiments of the present invention described in the above section "exemplary methods" of the present specification.

The storage unit 920 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)921 and/or a cache memory unit 922, and may further include a read only memory unit (ROM) 923.

Storage unit 920 may also include a program/utility 924 having a set (at least one) of program modules 925, such program modules 925 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 930 can be any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 900 may also communicate with one or more external devices 1100 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 900 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interface 950. Also, the electronic device 900 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 960. As shown, the network adapter 940 communicates with the other modules of the electronic device 900 over the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when said program product is run on the terminal device.

Referring to fig. 10, a program product 1000 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A 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 (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.

A computer readable signal medium may include a propagated data signal with 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 readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

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

Claims

1. A traffic charging method, characterized in that the method comprises:

acquiring application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and creating a flow database according to the flow data and the application programs;

in the flow database, acquiring target flow data according to a target application program of a target vehicle owner user;

and determining a target flow charging rule according to the target flow data based on a preset flow charging rule so as to charge the flow.

2. The traffic charging method according to claim 1, wherein the preset traffic charging rule comprises: the charging method comprises the steps of a first charging rule taking a time dimension as a dimension, a second charging rule taking a frequency dimension as a dimension and a third charging rule taking a region dimension as a dimension.

3. The traffic charging method of claim 2, further comprising:

comparing the target flow charging rule determined last time with the target flow charging rule determined this time, and judging whether the target flow charging rules of the two times generate difference;

and if the target flow charging rules generate differences, adjusting the target flow charging rules and carrying out subsequent flow charging.

4. The traffic charging method according to claim 1, wherein the obtaining target traffic data according to a target application of a target owner user in the traffic database comprises:

in the flow database, counting the flow data and the application program to establish a flow use statistical rule of the flow data and the application program;

and acquiring the target flow data according to a target application program of the owner user of the target vehicle based on the flow use statistical rule.

5. The traffic charging method of claim 4, further comprising:

providing the target application program for the target owner user based on the flow usage statistical rule;

providing a first application program corresponding to a first target vehicle enterprise user based on the traffic usage statistical rule;

and providing a second application program corresponding to a second target vehicle-enterprise user based on the flow usage statistical rule.

6. The traffic billing method of claim 1, wherein the applications comprise native applications and web applications.

7. The traffic charging method according to claim 6, wherein the obtaining of the application programs of the plurality of owner users and the traffic data corresponding to the application programs comprises:

acquiring the native application programs used by a plurality of owner users and native flow data corresponding to the native application programs;

and acquiring the network application program used by a plurality of vehicle owner users and non-native flow data corresponding to the network application program.

8. A traffic charging apparatus, comprising:

the data recording module is configured to acquire application programs of a plurality of vehicle owner users and flow data corresponding to the application programs, and create a flow database according to the flow data and the application programs;

the data acquisition module is configured to acquire target flow data according to a target application program of a target vehicle owner user in the flow database;

and the flow charging module is configured to determine a target flow charging rule according to the target flow data based on a preset flow charging rule so as to charge the flow.

9. A computer-readable storage medium, on which a computer program is stored, which, when executed by a sender, implements the traffic charging method of any one of claims 1-7.

10. An electronic device, comprising:

a transmitter;

a memory for storing executable instructions of the transmitter;

wherein the transmitter is configured to perform the traffic charging method of any of claims 1-7 via execution of the executable instructions.