CN111161555A

CN111161555A - Information collection method and system

Info

Publication number: CN111161555A
Application number: CN201811317421.1A
Authority: CN
Inventors: 江梦华; 秦宇皓; 仇辉; 李海波
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2018-11-07
Filing date: 2018-11-07
Publication date: 2020-05-15

Abstract

The invention discloses an information collection method and system. The method comprises the following steps: determining a collection point of information to be collected; determining users in at least one area range containing the acquisition points; and sending information collection contents of corresponding categories to clients associated with various categories of users based on the categories of the users. The method provided by the invention can display the reporting interface to the user in a classified manner according to the category of the user, collect the user reporting data with finer granularity, and improve the user experience.

Description

Information collection method and system

Technical Field

The invention relates to the field of traffic, in particular to an information collection method and system.

Background

In order to make a user know the road condition in advance and reduce the occurrence of traffic accidents, a navigation system usually predicts the traffic information of a road section according to information such as the driving speed of a vehicle and displays the traffic information to a driver. And meanwhile, the predicted information is used for path planning of the platform. However, the predicted result may be biased, and some temporary traffic accidents, road closure, etc. are unpredictable. Therefore, it is necessary to provide an information collecting method and system for confirming the actual road condition of the road section.

Disclosure of Invention

The embodiment of the invention provides an information collection method, an information collection system, an information collection device, a computer readable storage medium and the like, which specifically comprise the following aspects:

in a first aspect, an information gathering method is disclosed. The method is implemented by at least one processor. The method comprises the following steps: determining a collection point of information to be collected; determining users in at least one area range containing the acquisition points; and sending information collection contents of corresponding categories to clients associated with various categories of users based on the categories of the users.

In some embodiments, different categories of information gathering content are used to trigger the client to display different user interfaces; the user interface is at least used for guiding the user to feed back information.

In some embodiments, the distinction between different user interfaces includes at least one of: the type of option control or the number of option controls.

In some embodiments, the user interface includes at least one of: an event category option control, a text description box or an image data adding control; wherein the event category option control comprises at least one of: an accident option control, a construction option control, a route sealing option control or a congestion option control.

In some embodiments, the method further comprises: determining the state of the user, and determining the time for sending information collection content based on the state of the user; transmitting the information gathering content based on the determined opportunity.

In some embodiments, the determining the state of the user and the determining the timing for sending the information gathering content based on the state of the user comprises: acquiring the motion state of a client associated with the user; determining whether to send information-gathering content to the user-associated client based on the state of motion of the user-associated client.

In some embodiments, the determining the state of the user and the determining the timing for sending the information gathering content based on the state of the user comprises: acquiring a taxi taking order process of the user; determining whether to send information gathering content to a client associated with the user based on the user's taxi-taking order progress.

In some embodiments, the determining an acquisition point for information to be gathered comprises: acquiring a real-fact message; determining the acquisition point at least based on the location information in the fact message; the fact message includes at least one of: news reports, traffic broadcasts, or people reporting information.

In some embodiments, the determining an acquisition point for information to be gathered comprises: acquiring track data of a vehicle; estimating the probability of the occurrence of the event of the road section corresponding to the track data based on the track data of the vehicle; when the probability is greater than a first threshold, the acquisition point is determined based on the road segment.

In some embodiments, the method further comprises: acquiring characteristic information related to the user; the characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user; determining a user category of the user based on the characteristic information related to the user.

In a second aspect, an information gathering system is disclosed. The system comprises: the acquisition point determining module is used for determining acquisition points of information to be collected; the user determining module is used for determining users in at least one area range containing the acquisition points; and the sending module is used for sending the information collection contents of the corresponding categories to the clients associated with various types of users based on the categories of the users.

In some embodiments, the system further comprises: the opportunity determining module is used for determining the state of the user and determining the opportunity for sending information collection content based on the state of the user; the sending module is further configured to send the information gathering content based on the determined opportunity.

In some embodiments, the timing module comprises: a motion state obtaining unit, configured to obtain a motion state of a client associated with the user; an opportunity determination unit to determine whether to send information gathering content to the client associated with the user based on a motion state of the client associated with the user.

In some embodiments, the timing module comprises: the order progress acquiring unit is used for acquiring a taxi taking order progress of the user; and the opportunity determination unit is used for determining whether to send information gathering content to a client associated with the user or not based on the taxi taking order process of the user.

In some embodiments, the acquisition point determination module comprises: the information acquisition unit is used for acquiring the fact message; an acquisition point determining unit, configured to determine the acquisition point based on at least the location information in the fact message; the fact message includes at least one of: news reports, traffic broadcasts, or people reporting information.

In some embodiments, the acquisition point determination module comprises: a trajectory data acquisition unit for acquiring trajectory data of a vehicle; the probability determining unit is used for estimating the probability of the occurrence of the event of the road section corresponding to the track data based on the track data of the vehicle; an acquisition point determining unit configured to determine the acquisition point based on the road segment when the probability is greater than a first threshold.

In some embodiments, the system further comprises a user category determination module for obtaining feature information related to the user and determining a user category of the user based on the feature information related to the user; the characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user.

In a third aspect, an information gathering device is disclosed. The apparatus comprises at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least a portion of the computer instructions to implement the information gathering method.

In a fourth aspect, a computer-readable storage medium is disclosed. The storage medium stores computer instructions that, when executed by a processor, implement the information gathering method.

In a fifth aspect, an information gathering method is disclosed. The method is implemented by at least one processor. The method comprises the following steps: acquiring information collection content; the information collection content is used for triggering the clients of the users of different categories to display different user interfaces; based on the information collection content, displaying a user interface corresponding to the category to which the user belongs; the user interface is at least used for guiding the user to report information.

In a sixth aspect, an information gathering system is disclosed. The system comprises: the acquisition module is used for acquiring information collection content; the information collection content is used for triggering the clients of the users in different categories to display different user interfaces; the interface display module is used for displaying a user interface corresponding to the category to which the user belongs based on the information collection content; the user interface is at least used for guiding the user to report information.

In a seventh aspect, an information gathering device is disclosed. The apparatus comprises at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least a portion of the computer instructions to implement the information gathering method.

In an eighth aspect, a computer-readable storage medium is disclosed. The storage medium stores computer instructions that, when executed by a processor, implement the information gathering method.

According to the embodiment of the invention, the users are classified according to the historical report conditions of the users, when the system predicts the possible occurrence of an event (an accident or a temporary road closure) on a certain road section based on real-time road condition information such as vehicle speed, traffic rules and the like or determines the occurrence of the event on a certain place based on the acquired information, a report interface is displayed to the users in a classified mode according to the category of the heat degrees of the users, the report data of the users with finer granularity are collected, the user experience is improved, and the real-time quality of a map is improved.

Additional features of the invention will be set forth in part in the description which follows. Additional features of some aspects of the invention will become apparent to those skilled in the art upon examination of the following description and accompanying drawings or may be learned by the manufacture or operation of the embodiments. The features of the present invention may be realized and attained by practice or use of the methodologies, instrumentalities and combinations of the various aspects of the particular embodiments described below.

Drawings

FIG. 1 is a schematic diagram of an on-demand service system according to some embodiments of the invention.

FIG. 2 is a block diagram of an exemplary computing device for a dedicated purpose system for implementing aspects of the present invention.

Fig. 3 is a block diagram of an exemplary mobile device for implementing a dedicated system of the present invention.

FIG. 4 is a flow diagram illustrating a method of information gathering, according to some embodiments of the invention.

FIG. 5 is a functional block diagram of an information gathering device, shown in accordance with some embodiments of the present invention.

FIG. 6 is a functional block diagram of an acquisition Point determination module 510, shown in accordance with some embodiments of the present invention.

FIG. 7 is a functional block diagram of another acquisition point determination module 510, shown in accordance with some embodiments of the present invention.

FIG. 8 is a flow diagram illustrating an exemplary information gathering method 800, according to an embodiment of the invention.

FIG. 9 is a functional block diagram of an exemplary information gathering device 900, shown in accordance with an embodiment of the present invention.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Although various references are made herein to certain modules or units in a system according to embodiments of the present application, any number of different modules or units may be used and run on a client and/or server. The modules are merely illustrative and different aspects of the systems and methods may use different modules.

Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.

Embodiments of the present application may be applied to different transportation systems including, but not limited to, one or a combination of terrestrial, marine, aeronautical, aerospace, and the like. For example, taxis, special cars, tailplanes, buses, designated drives, trains, railcars, high-speed rails, ships, airplanes, hot air balloons, unmanned vehicles, receiving/sending couriers, and the like, employ managed and/or distributed transportation systems. The application scenarios of the different embodiments of the present application include, but are not limited to, one or a combination of several of a web page, a browser plug-in, a client, a customization system, an intra-enterprise analysis system, an artificial intelligence robot, and the like. It should be understood that the application scenarios of the system and method of the present application are merely examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios without inventive effort based on these figures.

The terms "passenger side," "passenger side user," "passenger side device," "driver side user," "driver side device," "client side device," "client side user," "user" and the like, as used herein, are interchangeable, and refer to a party that needs or orders a service, either a person or a tool. In addition, a "user" as described herein may be a party that needs or subscribes to a service, or a party that provides or assists in providing a service.

The on-demand service system 100 may include a server 110, a network 120, a user side 130, and a memory 140.

The server 110 may be local or remote. The server 110 may be referred to as an information gathering system or an information gathering device. Server 110 may process information and/or data. For example, the server 110 may determine a collection point for information to be gathered; the server 110 can determine users in at least one area range containing the acquisition point; the server 110 may send information-gathering content of the respective categories to clients associated with the various categories of users based on the categories of the users.

In some embodiments, the server 110 may be used in a system that performs analytical processing on the collected information to generate analytical results. The server 110 may be a terminal device, a server, or a server group. The server farm may be centralized, such as a data center. The server farm may also be distributed, such as a distributed system.

The user terminal 130 may be a passenger terminal or a driver terminal. The user terminal 130 may refer to an individual, tool or other entity that issued the service order, or the user terminal 130 may refer to an individual, tool or other entity that is registered in the on-demand service system. In some embodiments, the user terminal 130 is a passenger terminal user that reports information. For example, when the server 110 predicts that an event may occur on the current road segment where the passenger end user is located, the server 110 may send information gathering content of corresponding categories to the passenger ends associated with various types of users based on the categories of the passenger end users. The passenger end user can report the event occurring in the current road section through the passenger end. The event types include but are not limited to accidents, construction, road closure, congestion selection, fighting, robbery, natural disasters, burst water pipes, and the like.

In some embodiments, the user terminal 130 is a driver-side user reporting information. For example, when the server 110 predicts that an event may occur on the current road segment where the driver-side user is located, the server 110 may send information gathering content of corresponding categories to the driver side associated with various types of users based on the categories of the driver-side users. The driver end user can report the event of the current road section through the driver end. The event types include but are not limited to accidents, construction, road closure, congestion selection, fighting, robbery, natural disasters, burst water pipes, and the like. In some embodiments, the user terminal 130 includes, but is not limited to, one or a combination of desktop computer 130-1, notebook computer 130-2, built-in device 130-3 of a motor vehicle, mobile device 130-4, and the like. The server 110 can directly access the data information stored in the memory 140, or directly access the information of the access client 130 through the network 120.

The memory 140 may generally refer to a device having a storage function. The memory 140 is mainly used for storing data collected from the user terminal 130 and various data generated in the operation of the on-demand service system 100. The memory 140 may be local or remote. The connection or communication between the system database and other modules of the system may be wired or wireless.

The network 120 may provide a conduit for the exchange of information. The network 120 may be a single network or a combination of networks. Network 120 may include, but is not limited to, one or a combination of local area networks, wide area networks, public networks, private networks, wireless local area networks, virtual networks, metropolitan area networks, public switched telephone networks, and the like. Network 120 may include a variety of network access points, such as wired or wireless access points, base stations (e.g., 120-1, 120-2), or network switching points, through which data sources connect to network 120 and transmit information through the network.

Fig. 2 is a block diagram of an exemplary computing device 200 for implementing a system in accordance with aspects of the present invention.

As shown in fig. 2, computing device 200 may include a processor 210, a memory 220, input/output interfaces 230, and communication ports 240.

The processor 210 may execute the computing instructions (program code) and perform the functions of the on-demand service system 100 described herein. The computing instructions may include programs, objects, components, data structures, procedures, modules, and functions (the functions refer to specific functions described in the present invention). For example, the processor 210 may process image or text data obtained from any other component of the on-demand service system 100. In some embodiments, processor 210 may include microcontrollers, microprocessors, Reduced Instruction Set Computers (RISC), Application Specific Integrated Circuits (ASIC), application specific instruction set processors (ASIP), Central Processing Units (CPU), Graphics Processing Units (GPU), Physical Processing Units (PPU), microcontroller units, Digital Signal Processors (DSP), Field Programmable Gate Array (FPGA), Advanced RISC Machines (ARM), programmable logic devices, any circuit or processor capable of executing one or more functions, or the like, or any combination thereof. For illustration only, the computing device 200 in FIG. 2 depicts only one processor, but it is noted that the computing device 200 in the present invention may also include multiple processors.

The memory 220 may store data/information obtained from any other component of the on-demand service system 100. In some embodiments, memory 220 may include mass storage, removable storage, volatile read and write memory, Read Only Memory (ROM), and the like, or any combination thereof. Exemplary mass storage devices may include magnetic disks, optical disks, solid state drives, and the like. Removable memory may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tape, and the like. Volatile read and write memory can include Random Access Memory (RAM). RAM may include Dynamic RAM (DRAM), double-data-rate synchronous dynamic RAM (DDR SDRAM), Static RAM (SRAM), thyristor RAM (T-RAM), zero-capacitance (Z-RAM), and the like. ROM may include Masked ROM (MROM), Programmable ROM (PROM), erasable programmable ROM (PEROM), Electrically Erasable Programmable ROM (EEPROM), compact disk ROM (CD-ROM), digital versatile disk ROM, and the like.

The input/output interface 230 may be used to input or output signals, data, or information. In some embodiments, the input/output interface 230 may enable a user to contact the on-demand service system 100. In some embodiments, input/output interface 230 may include an input device and an output device. Exemplary input devices may include a keyboard, mouse, touch screen, microphone, and the like, or any combination thereof. Exemplary output devices may include a display device, speakers, printer, projector, etc., or any combination thereof. Exemplary display devices may include Liquid Crystal Displays (LCDs), Light Emitting Diode (LED) based displays, flat panel displays, curved displays, television equipment, Cathode Ray Tubes (CRTs), and the like, or any combination thereof. The communication port 240 may be connected to a network for data communication. The connection may be a wired connection, a wireless connection, or a combination of both. The wired connection may include an electrical cable, an optical cable, or a telephone line, etc., or any combination thereof. The wireless connection may include bluetooth, Wi-Fi, WiMax, WLAN, ZigBee, mobile networks (e.g., 3G, 4G, or 5G, etc.), etc., or any combination thereof. In some embodiments, the communication port 240 may be a standardized port, such as RS232, RS485, and the like. In some embodiments, the communication port 240 may be a specially designed port. For example, the communication port 240 may be designed in accordance with the digital imaging and medical communication protocol (DICOM).

Fig. 3 is a block diagram of an exemplary mobile device 300 for implementing a system in accordance with aspects of the present invention.

As shown in fig. 3, the mobile device 300 may include a communication platform 310, a display 320, a Graphics Processor (GPU)330, a Central Processing Unit (CPU)340, an input/output interface 350, a memory 360, a storage 370, and the like. In some embodiments, operating system 361 (e.g., iOS, Android, Windows Phone, etc.) and application programs 362 may be loaded from storage 370 into memory 360 for execution by CPU 340. The applications 362 may include a browser or application for receiving imaging, graphics processing, audio, or other related information from the on-demand service system 100.

To implement the various modules, units and their functionality described in this disclosure, a computing device or mobile device may serve as a hardware platform for one or more of the components described in this disclosure. The hardware elements, operating systems and programming languages of these computers or mobile devices are conventional in nature, and those skilled in the art will be familiar with these techniques to adapt them to the on-demand service system described herein. A computer with user interface elements may be used to implement a Personal Computer (PC) or other type of workstation or terminal device, and if suitably programmed, may also act as a server.

FIG. 4 is a flow diagram illustrating an exemplary information gathering method 400, according to an embodiment of the present invention.

In some embodiments, the information gathering method 400 is performed by a device, such as the server 110 or the computer 200, having processing and computing capabilities.

Step 401, determining an acquisition point of information to be collected.

In some embodiments, the information to be collected may be event information, road condition information, weather information, or the like. In some embodiments, the event information may be related to social events such as fighting, robbery, tourism, cheering, crowd alarm, and natural disaster events such as flood, landslide, earthquake, tsunami, volcanic eruption, and debris flow. The road condition information may include traffic jam information, traffic accident information, road closure information, road repair information, construction information, water accumulation information, and the like. Weather information may include rainstorms, fog, hail, lightning strikes, and the like.

In some embodiments, the collection place of the information to be collected can be determined by a news report, traffic broadcast, or mass report information. The fact message contains geographic coordinates, occurrence time and some basic information of various events, road conditions, weather and other information. Therefore, the information containing the information to be collected can be screened from the actual information through further processing, and the geographic coordinates are further extracted from the screened information, so that the collection point of the information to be collected is obtained. The processing methods include, but are not limited to, speech recognition techniques, natural language processing techniques, image recognition techniques, text keyword extraction techniques (e.g., statistical feature-based keyword extraction techniques), text semantic analysis techniques, and the like.

For example, after the server 110 acquires the traffic broadcast information through the network 120, to further determine details of an event related to the traffic broadcast information, the server 110 may determine an acquisition point based on a location in the traffic broadcast information, so as to send event information collection content to a user. For example, the server 110 acquires the traffic broadcast information to know that a certain toll station road section is congested, and the server 110 may determine the toll station as an acquisition point.

For another example, when the server 110 knows that a robbery event occurs at a certain location through the people report information, to further determine the severity and details of the event, the server 110 may determine an acquisition point based on the location in the event information, so as to send the event information to the user to collect content. For example, the server 110 may notify the crowd of a robbery at an intersection of a certain street, and the server may determine the intersection as an acquisition point.

For another example, when the server 110 knows that a traffic jam occurs in a certain road segment from the traffic information acquired through the network 120, to further determine detailed traffic information, the server 110 may determine an acquisition point based on location information in the traffic information, so as to issue information collection content to the user.

For another example, when the server 110 knows that a traffic accident occurs on a certain road segment from the acquired event information and road condition information, to further determine detailed information of the accident, the server 110 may determine an acquisition point based on the location information in the event information and the location information in the road condition information, so as to send information collection content to the user.

In still other embodiments, acquisition points for information to be gathered may also be determined based on trajectory data of the vehicle. The track data of the transportation means can directly reflect the traffic condition of a certain road section, and when the traffic condition is abnormal, the track data indicates that the road section is more likely to have abnormal conditions, such as the occurrence of events such as fighting, robbery, vehement, tourism and the like, natural disasters such as flood, mountain landslide, earthquake, tsunami, volcanic eruption and debris flow and the like, road condition abnormalities such as traffic jam information, traffic accident information, road closure information, road repair information, construction information and ponding information and the like, or abnormal weather conditions such as rainstorm, hail, haze and the like. Therefore, the traffic condition of the corresponding road section can be directly known through processing the track data, and the conditions that some major events, abnormal road conditions and the like possibly occur on the road section can be further presumed, so that the acquisition point of the information to be collected is determined.

By way of example only, in one embodiment, determining acquisition points for information to gather based on trajectory data of a vehicle may include the steps of:

step A1, trajectory data of a vehicle is acquired.

The server 110 can obtain the position of the vehicle through the network 120 and the positioning device of the vehicle, and further, can obtain the trajectory data of the vehicle. The vehicle may include: motor vehicles, electric vehicles, motorcycles, electric motorcycles, trains, motor cars, high-speed rails, subways, unmanned vehicles, and the like.

And A2, estimating the probability of the event of the road section corresponding to the track data based on the track data of the vehicles.

For example, when the track of many vehicles decelerates in a certain place, the server 110 may predict that there may be an abnormality in the road segment, specifically, predict the probability of an event occurring in the road segment corresponding to the track data. For example, a certain road segment is originally prohibited from turning left, but in reality many vehicles turn left at this point, the server 110 may predict that there is an abnormality, specifically, estimate the probability of an event occurring in the road segment corresponding to the trajectory data. For another example, if the yaw rate of a straight-ahead direction of a certain road section suddenly increases and there is almost no straight-ahead vehicle for a period of time, the server 110 may predict that a road may be closed ahead of the current road section, and specifically, predict the probability of an event occurring on the road section corresponding to the trajectory data. In some embodiments, the server 110 may input the trajectory data into the trained probability calculation model, and obtain the probability of the event occurring on the road segment corresponding to the trajectory data. The probability calculation model can be obtained by training with the historical track data when the event occurs and/or the historical track data when no event occurs.

And A3, when the probability is larger than a first threshold value, determining an acquisition point based on the road section.

When the probability is greater than the first threshold, the server 110 may determine a location on the road segment as an acquisition point based on the road segment.

Step 402, determining users in at least one area range containing the acquisition points.

The server 110 may obtain, through the network 120, the location of the client associated with the user in the at least one area range determined to contain the acquisition point, and further, may determine the user in the at least one area range determined to contain the acquisition point. The users in at least one area range containing the acquisition point can be users in a certain radius range by taking the acquisition point as a center.

Step 403, based on the categories of the users, sending information gathering content of corresponding categories to the clients associated with the various categories of users.

In some embodiments, said sending information-gathering content of respective categories to clients associated with respective categories of users based on the categories of the users comprises the steps of:

and step B1, acquiring characteristic information related to the user. The characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user.

In some embodiments, the historical report data of the user includes, but is not limited to, a report amount, a report completeness, and the like. The user's associated ratings include, but are not limited to, the passenger's rating or score for driver service, the driver's rating or score for the passenger, etc.

Step B2, determining the user category of the user based on the characteristic information related to the user.

In some embodiments, the users are classified by using a machine learning model according to the user figures, and the adaptive information collection content is sent in a targeted manner according to the characteristics and/or behavior habits of the users of different classes. For example, the server 110 may train the machine learning model to classify the user according to the feature information related to the user. The characteristic information may include user identification, age, gender, place of birth, location, academic calendar, occupation, hobbies, income, registration time, etc. The characteristic information may also be registration data filled when the user registers for the network service, or user behavior collected by the service provider, etc. The user identifier may be an identity of the user, contact information (e.g., a phone number, a mailbox address, etc.), a user account (e.g., an instant messaging account, a social account, a network payment service account, a shopping website account, etc.) registered by the user in a server of the network service provider, and the like. In some embodiments, based on the user profile, server 110 may classify users into a new user category, a frequently logged-in user category, a less frequently logged-in user category, and so on. In some embodiments, the server 110 may classify the user by age group, e.g., 20 to 30 years, 30 to 40 years, 40 to 50 years, over 50 years, based on the user representation. In some embodiments, based on the user representation, the server 110 may predict salary levels for different users, e.g., to separate the users into high salary users, general users, and low salary users. In some embodiments, based on the user profile, the server 110 may classify the users by counting the time that different users log on the taxi taking platform, for example, users who frequently log on at morning rush hour and evening rush hour are taken as one category, and users who frequently log on at non-morning rush hour and late rush hour are taken as another category. In some embodiments, server 110 may sort users by study, based on user portrayal.

In some embodiments, the server 110 may further analyze the event reporting enthusiasm of the user according to the historical reporting data of the user, and classify the user based on the reporting enthusiasm. The server 110 may classify users into a hot user, a general user, and a non-hot user. For example, the server 110 may classify users according to their reporting volume and reporting integrity. For example only, users who do not have uploaded information in the historical reported data are classified into non-enthusiastic users, users who only upload characters are classified into general users, users who only upload pictures are classified into general users, and users who upload characters and pictures at the same time are classified into enthusiastic users.

In still other embodiments, server 110 may classify the user's enthusiasm using a machine learning model based on the user representation. For example, the server 110 may train the machine model using, as a sample, feature values of a large amount of historical report data of users with different degrees of enthusiasm, including but not limited to: the form of the content of the historical reported data (e.g., voice, image or text), the detail degree of the historical reported data, the time period of the historical report, the number of the historical reports (e.g., 10 times, 6 times, etc.), and the like. And classifying or scoring (0 to 100 points) the user enthusiasm by using the trained machine model, and further classifying the user enthusiasm according to the enthusiasm scoring condition. For example, users having a hot-heart score of not less than 80 are classified as hot-heart users, users having a hot-heart score of not less than 60 and less than 80 are classified as general users, and users having a hot-heart score of less than 60 are classified as non-hot-heart users.

In some embodiments, the server 110 may introduce a time dimension to classify the user more finely, i.e., the user is classified as hearty by time interval. For example, one class of users may be more attentive between 17:00 and 19:00 per day, and another class of users may be more attentive between 8:00 and 9:30 per day. The server 110 may associate the feature information of the user with time, and during model training, the information labeled by the sample will contain time information, so that the trained model can classify the user according to the associated feature information. For example only, the server 110 may associate the historical report data of the user with time, and classify the user according to time periods. For example, a class of users reports perfect data during early peak hours, while reports are relatively single or have no data during late peak hours. The server 110 may classify that class of users as being hearted users during early peak hours (e.g., 7:30 to 9 o' clock) and not hearted users during late peak hours (e.g., 17:30 to 18: 30).

In some embodiments, the server 110 may also classify users according to rating scores. The evaluation score may be an evaluation of the driver of the passenger, including whether the passenger arrived at the boarding location on time, whether the attitude is friendly, and the like. The evaluation score may also be a passenger's evaluation of the driver including driving skill level, attitude, punctual arrival at the pick-up location, service satisfaction, etc. The rating score may be a rating of the user. For example, the driver may be a 5-star driver, a 4-star driver, and the like. The evaluation score may be a specific score (full score of 100). For example, the server 110 may classify users having an evaluation score of not less than 80 points as hot users, classify users having an evaluation score of not less than 60 and less than 80 points as general users, and classify users having an evaluation score of less than 60 points as non-hot users. As another example, users may be classified as hot users and non-hot users based on their rating score for a certain item (e.g., whether friendly or hot).

And step B3, based on the categories of the users, sending information collection contents of the corresponding categories to the clients associated with the various types of users.

In some embodiments, the information gathering content is used to trigger clients of different categories of users to display different user interfaces. The user interface is at least used for guiding the user to report information. For example, the server 110 may send the client 130 a text prompt and/or a voice prompt that prompts the user to report the contents of the information collection on the client reporting interface, or directly an interface. After obtaining the reminder, the user may report the event information to the server 110 through an interface of the user terminal 130 (e.g., a passenger terminal, a driver terminal).

In some embodiments, the distinction between different user interfaces includes at least one of: the type of option control or the number of option controls. For example, according to different enthusiasm degrees reported by users, the event classifications of different reports are displayed in a distinguishing way. For example, the interface corresponding to the user with a hot feeling may display a finer classification, the interface corresponding to the general user may display a coarser classification, and the interface corresponding to the user without a hot feeling may not be displayed. For another example, when the system predicts that a road may be closed ahead, the display interface of the general user may only have a road closing option, and the interface of the user with great care may be an interface having multiple option controls, such as a one-lane road closing, a two-lane road closing, a three-lane road closing, and the like. For another example, the interface corresponding to the user with a hot feeling may include an accident option control, a construction option control, a route sealing option control, and a congestion option control, and the interface corresponding to the general user may include only the accident option control and the construction option control. The interface corresponding to the non-enthusiastic user may include only the incident option control.

In some embodiments, due to the higher traffic congestion level in the early peak hours, the user needs to wait for the vehicle to be driven, or is in the process of driving for a long time, and at this time, the user may prefer to report information during the vehicle waiting process or the driving process. The information gathering content included for the corresponding interface for users during early peak hours may be more and relatively complex. For example, for a previous construction occurrence, the user interface may include a construction category option control, a traffic police presence option control, a congestion level option control, and the like.

In some embodiments, because older users are less skilled in operating electronic products than younger users, the information gathering content included with the user interface for older user categories may be relatively simple and easy to operate, e.g., fewer types of option controls or fewer numbers of option controls. For example, for a traffic accident that may occur on the road ahead, the user interface may include only one option control or input voice option control to facilitate quick input of information by the user. While the user interface for a younger user category may include more and relatively more complex information gathering content. For example, for a possible traffic accident on the road ahead, the user interface may include option controls for whether a traffic accident is occurring, the severity of the accident, whether casualties are occurring, whether emergency personnel are present, the degree of traffic impact, etc.

In some embodiments, the server 110 may deliver information gathering content for different categories of users in time periods. For example, one class of users are happy users during the monday through thursday time periods, and are not happy users on friday. On monday to thursday, the information collection content included in the user interface for reporting information by the user may be more and relatively complicated. On friday, the information collection content of the user interface for reporting the information by the type of users can be less.

In some embodiments, the user interface includes at least one of: an event category options control, a text description box, or an add image data control. Wherein the event category option control comprises at least one of: an accident option control, a construction option control, a route sealing option control or a congestion option control. The image data control is used to add picture or video data.

In some embodiments, the information gathering method 400 further includes the following steps (not shown in FIG. 4):

step 404, determining the status of the user and determining the timing for sending information gathering content based on the status of the user.

Step 405, sending the information gathering content based on the determined opportunity.

In some embodiments, the determining the state of the user and the determining the timing for sending the information gathering content based on the state of the user comprises:

step C1, obtaining the motion state of the client associated with the user.

The server 110 may obtain the motion state of the client associated with the user through the network 120 and a positioning device of the client (e.g., a GPS positioning system). In some embodiments, the motion state may be an acceleration state, a deceleration state, a standstill state, a constant speed driving state, or the like.

Step C2, determining whether to send information-gathering content to the user-associated client based on the state of motion of the user-associated client.

For example, in the case of a driver, the server 110 does not issue the display information collection content in the acceleration driving state of the vehicle so as not to disturb the driver. When the vehicle approaches a static state (for example, the vehicle is jammed at a red light, in a rush hour, and the traffic jam occurs in a road section ahead of the vehicle), information collection content is sent, so that a driver can report the information through a driver end.

In some embodiments, determining the status of the user and determining the timing for sending information gathering content based on the status of the user comprises:

and D1, acquiring the vehicle-taking order process of the user.

The server 110 may obtain the user's taxi-taking order progress in real time through the network 120. The taxi taking order process of the user at least comprises the following processes: the method comprises the steps of waiting for a driver to pick up the order after the order is issued by a user in the order issuing process, driving on the way after the user gets on the bus, and enabling the user to arrive at a destination.

Step D2, determining whether to send information gathering content to the client associated with the user based on the user's taxi-taking order progress.

For example, for the passenger, issuing of the information gathering content is not performed during the order issuing process, during the process of waiting for pickup and the vehicle is about to arrive at the boarding place, soon to arrive at the destination (which may need to be prepared for getting off). On the way of the passenger confirming the driving after getting on the bus, the server 110 may issue the information collection content to the passenger terminal 130, so that the passenger may report the information through the passenger terminal 130.

FIG. 5 is a functional block diagram of an exemplary information gathering device 500, shown in accordance with an embodiment of the present invention.

The information gathering device 500 may be implemented by the server 110. For convenience of description, the information gathering device 500 may also be referred to as an information gathering system.

The information gathering apparatus 500 may comprise an acquisition Point determination module 510, a user determination module 520 and a sending module 530.

An acquisition Point determination module 510 for determining an acquisition Point for information to be gathered.

A user determining module 520, configured to determine users in at least one area range including the acquisition point.

A sending module 530, configured to send information gathering content of corresponding categories to clients associated with various categories of users based on the categories of the users.

In some embodiments, the information gathering content is used to trigger clients of different categories of users to display different user interfaces; the user interface is at least used for guiding the user to report information.

In some embodiments, the user interface includes at least one of: an event category options control, a text description box, or an add image data control. Wherein the event category option control comprises at least one of: an accident option control, a construction option control, a route sealing option control or a congestion option control.

In some embodiments, the information gathering device 500 further comprises: and the opportunity determining module is used for determining the state of the user and determining the opportunity for sending the information gathering content based on the state of the user. The sending module is further configured to send the information gathering content based on the determined opportunity.

In some embodiments, the timing module comprises: the device comprises a motion state acquisition unit and a timing determination unit. The motion state acquisition unit is used for acquiring the motion state of the client associated with the user. The opportunity determination unit is to determine whether to send information gathering content to the client associated with the user based on a motion state of the client associated with the user.

In some embodiments, the timing module comprises: an order progress acquiring unit and an opportunity determining unit. The order progress acquiring unit is used for acquiring the taxi taking order progress of the user. The opportunity determination unit is used for determining whether to send information gathering content to a client associated with the user based on the taxi taking order process of the user.

In some embodiments, the information gathering device 500 further comprises: and the user category determining module is used for acquiring the characteristic information related to the user and determining the user category of the user based on the characteristic information related to the user. The characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user.

Acquisition Point determination module 510 may include: an information acquisition unit 610 and an acquisition point determination unit 620.

The information obtaining unit 610 is used for obtaining the fact message.

The acquisition point determining unit 620 is configured to determine the acquisition point at least based on the location information in the fact message; the fact message includes at least one of: news reports, traffic broadcasts, or people reporting information.

Acquisition Point determination module 510 may include: a trajectory data acquisition unit 710, a probability determination unit 720, and an acquisition point determination unit 730.

The trajectory data acquisition unit 710 is used to acquire trajectory data of the vehicle.

The probability determination unit 720 is configured to estimate, based on the trajectory data of the vehicle, a probability of an event occurring on a road segment corresponding to the trajectory data.

The acquisition point determining unit 730 is configured to determine the acquisition point based on the road segment when the probability is greater than a first threshold.

In some embodiments, an information gathering device is disclosed. The apparatus comprises at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least a portion of the computer instructions to implement the information gathering method as described in fig. 4.

In some embodiments, the present invention discloses a computer readable storage medium storing computer instructions that, when executed by a processor, implement an information gathering method as described in FIG. 4.

It should be noted that the modules may be software modules implemented by computer instructions. The various modules and units described above are not essential and it will be apparent to a person skilled in the art, having the benefit of the present disclosure and principles, that various modifications and changes in form and detail may be made to the system without departing from the principles and structure of the technology, and that the various modules may be combined in any desired manner or form subsystems coupled to other modules and still be within the scope of the claims of the present application.

In some embodiments, the information gathering method 800 is performed by the user terminal 130 (e.g., passenger terminal, driver terminal) or the mobile device 300.

Step 801, information collection content is acquired. The information collection content is used for triggering the clients of the users of different categories to display different user interfaces.

The user terminal 130 can acquire information gathering contents transmitted from the server 110 through the network 120.

Step 802, based on the information gathering content, displaying the user interface corresponding to the category to which the user belongs. The user interface is at least used for guiding the user to report information.

The user terminal 130 may display a user interface corresponding to a category to which the user belongs through the display. The user can report information through the user interface.

In some embodiments, the user interface includes at least one of: an event category options control, a text description box, or an add image data control. Wherein the event category option control comprises at least one of the following; an accident option control, a construction option control, a route sealing option control or a congestion option control.

In some embodiments, the information gathering device 900 may be implemented by a user terminal 130 (e.g., a passenger terminal, a driver terminal) or a mobile device 300. For convenience of description, the information gathering device 900 may also be referred to as an information gathering system.

The information gathering device 900 may include: an acquisition module 910 and an interface display module 920.

The obtaining module 910 is configured to obtain information gathering content. The information collection content is used for triggering the clients of the users of different categories to display different user interfaces.

The interface display module 920 is configured to display a user interface corresponding to a category to which the user belongs based on the information gathering content. The user interface is at least used for guiding the user to report information.

In some embodiments, an information gathering device is disclosed. The apparatus comprises at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least a portion of the computer instructions to implement the information gathering method as described in fig. 9.

In some embodiments, the present invention discloses a computer-readable storage medium. The storage medium stores computer instructions that, when executed by a processor, implement an information gathering method as described in FIG. 9.

It should be noted that the modules may be software modules implemented by computer instructions.

The various modules and units described above are not essential and it will be apparent to a person skilled in the art, having the benefit of the present disclosure and principles, that various modifications and changes in form and detail may be made to the system without departing from the principles and structure of the technology, and that the various modules may be combined in any desired manner or form subsystems coupled to other modules and still be within the scope of the claims of the present application.

The beneficial effects that may be brought by the embodiments of the present application include, but are not limited to: (1) and displaying a reporting interface to the user in a classified manner according to the category (for example, the category of the enthusiasm degree) of the user, collecting user reporting data with finer granularity, improving the user experience, and improving the real-time quality of the map. It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The foregoing is a general idea of the present application, which is presented by way of example only, and it will be apparent to those skilled in the art that various changes, modifications or improvements may be made in accordance with the present application. Such alterations, modifications, and improvements are intended to be suggested or suggested by the present application and are intended to be within the spirit and scope of the embodiments of the present application.

Reference throughout this specification to terms such as "one embodiment," "some embodiments," or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in the embodiment.

Moreover, it will be apparent to those skilled in the art that the embodiments of the present application may be directed to new processes, methods, machines, manufacture, or improvements related thereto. Accordingly, embodiments of the present application may be embodied in pure hardware or in pure software, including but not limited to operating systems, resident software, microcode, etc.; but may also be embodied in "systems," "modules," "sub-modules," "units," etc., which may contain both hardware and software. In addition, embodiments of the present application may exist as computer programs that may be embodied on computer-readable media.

Claims

1. A method of information gathering, the method being implemented by at least one processor, comprising:

determining a collection point of information to be collected;

determining users in at least one area range containing the acquisition points;

and sending information collection contents of corresponding categories to clients associated with various categories of users based on the categories of the users.

2. The information gathering method as recited in claim 1, wherein different categories of information gathering content are used to trigger the client to display different user interfaces; the user interface is at least used for guiding the user to feed back information.

3. The information gathering method as recited in claim 2, wherein the distinction between different user interfaces includes at least one of: the type of option control or the number of option controls.

4. An information gathering method as recited in claim 2 or 3, wherein the user interface includes at least one of:

an event category option control, a text description box or an image data adding control;

wherein the event category option control comprises at least one of:

an accident option control, a construction option control, a route sealing option control or a congestion option control.

5. The information gathering method as recited in claim 1, the method further comprising: determining the state of the user, and determining the time for sending information collection content based on the state of the user;

transmitting the information gathering content based on the determined opportunity.

6. The information gathering method as recited in claim 5, wherein the determining a status of the user and determining an opportunity to transmit information gathering content based on the status of the user comprises:

acquiring the motion state of a client associated with the user;

determining whether to send information-gathering content to the user-associated client based on the state of motion of the user-associated client.

7. The information gathering method as recited in claim 5, wherein the determining a status of the user and determining an opportunity to transmit information gathering content based on the status of the user comprises:

acquiring a taxi taking order process of the user;

determining whether to send information gathering content to a client associated with the user based on the user's taxi-taking order progress.

8. The information gathering method as recited in claim 1, wherein the determining acquisition points for information to be gathered comprises:

acquiring a real-fact message;

determining the acquisition point at least based on the location information in the fact message;

the fact message includes at least one of: news reports, traffic broadcasts, or people reporting information.

9. The information gathering method as recited in claim 1, wherein the determining acquisition points for information to be gathered comprises:

acquiring track data of a vehicle;

estimating the probability of the occurrence of the event of the road section corresponding to the track data based on the track data of the vehicle;

when the probability is greater than a first threshold, the acquisition point is determined based on the road segment.

10. The information gathering method as recited in claim 1, further comprising:

acquiring characteristic information related to the user; the characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user;

determining a user category of the user based on the characteristic information related to the user.

11. An information gathering system, comprising:

the acquisition point determining module is used for determining acquisition points of information to be collected;

the user determining module is used for determining users in at least one area range containing the acquisition points;

and the sending module is used for sending the information collection contents of the corresponding categories to the clients associated with various types of users based on the categories of the users.

12. The information gathering system as recited in claim 11, wherein different categories of information gathering content are used to trigger the client to display different user interfaces; the user interface is at least used for guiding the user to feed back information.

13. The information gathering system as recited in claim 12, wherein the distinction between different user interfaces includes at least one of: the type of option control or the number of option controls.

14. The information gathering system as recited in claim 12 or 13, wherein the user interface comprises at least one of:

wherein the event category option control comprises at least one of:

15. The information gathering system as recited in claim 11, the system further comprising:

the opportunity determining module is used for determining the state of the user and determining the opportunity for sending information collection content based on the state of the user;

the sending module is further configured to send the information gathering content based on the determined opportunity.

16. The information gathering system as recited in claim 15, wherein the opportunity determining module comprises:

a motion state obtaining unit, configured to obtain a motion state of a client associated with the user;

an opportunity determination unit to determine whether to send information gathering content to the client associated with the user based on a motion state of the client associated with the user.

17. The information gathering system as recited in claim 15, wherein the opportunity determining module comprises:

the order progress acquiring unit is used for acquiring a taxi taking order progress of the user;

and the opportunity determination unit is used for determining whether to send information gathering content to a client associated with the user or not based on the taxi taking order process of the user.

18. The information gathering system as recited in claim 11, wherein the acquisition point determination module comprises:

the information acquisition unit is used for acquiring the fact message;

an acquisition point determining unit, configured to determine the acquisition point based on at least the location information in the fact message;

19. The information gathering system as recited in claim 11, wherein the acquisition point determination module comprises:

a trajectory data acquisition unit for acquiring trajectory data of a vehicle;

the probability determining unit is used for estimating the probability of the occurrence of the event of the road section corresponding to the track data based on the track data of the vehicle;

an acquisition point determining unit configured to determine the acquisition point based on the road segment when the probability is greater than a first threshold.

20. The information gathering system as recited in claim 11, further comprising:

the user category determining module is used for acquiring the characteristic information related to the user and determining the user category of the user based on the characteristic information related to the user; the characteristic information at least reflects the condition of historical reported data of the user and/or the related score of the user.

21. An information gathering apparatus, comprising at least one processor and at least one memory;

the at least one memory is for storing computer instructions;

the at least one processor is configured to execute at least some of the computer instructions to implement the operations of any of claims 1-10.

22. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform operations according to any one of claims 1 to 10.

23. A method of information gathering, the method being implemented by at least one processor, comprising:

acquiring information collection content; the information collection content is used for triggering the clients of the users of different categories to display different user interfaces;

based on the information collection content, displaying a user interface corresponding to the category to which the user belongs; the user interface is at least used for guiding the user to report information.

24. The information gathering method as recited in claim 23, wherein the distinguishing between different user interfaces includes at least one of: the type of option control or the number of option controls.

25. An information gathering method as recited in claim 23 or 24, wherein the user interface includes at least one of:

wherein the event category option control comprises at least one of:

26. An information gathering system, comprising:

the acquisition module is used for acquiring information collection content; the information collection content is used for triggering the clients of the users in different categories to display different user interfaces;

the interface display module is used for displaying a user interface corresponding to the category to which the user belongs based on the information collection content; the user interface is at least used for guiding the user to report information.

27. The information gathering system as recited in claim 26, wherein the distinction between different user interfaces comprises at least one of: the type of option control or the number of option controls.

28. The information gathering system as recited in claim 26 or 27, wherein the user interface comprises at least one of:

wherein the event category option control comprises at least one of:

29. An information gathering apparatus, comprising at least one processor and at least one memory;

the at least one memory is for storing computer instructions;

the at least one processor is configured to execute at least some of the computer instructions to implement the operations of any of claims 23-25.

30. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform operations according to any one of claims 23 to 25.