CN114398565A - Traffic information processing method, traffic information processing device, electronic device, and storage medium - Google Patents

Abstract

The disclosure provides a traffic information processing method, a traffic information processing device, electronic equipment and a storage medium, and relates to the technical field of computers, in particular to the fields of intelligent traffic and big data. The specific implementation scheme is as follows: in response to receiving the current driving route information, comparing the current driving route information with historical driving route information corresponding to the current driving route information to obtain a first comparison result; in response to the fact that the current driving route information comprises the first target change information according to the first comparison result, checking the current driving route information; and updating the historical travel route information with the first target change information in response to receiving the first signal indicating that the audit is successful.

Description

Traffic information processing method, traffic information processing device, electronic device, and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for processing traffic information, an electronic device, and a storage medium.

Background

With the development of mobile internet and the enhancement of environmental awareness of people, more and more people choose to use public transport means to meet the daily travel demands of people. Public transportation vehicles include, but are not limited to: sharing a single car, bus, subway, bus, train, airplane, etc. However, it is difficult for the user to fully know what kind of vehicle should be taken to go to each destination. Therefore, it is required to provide a corresponding public travel navigation service to the user.

Disclosure of Invention

The disclosure provides a traffic information processing method, a traffic information processing device, an electronic device and a storage medium.

According to an aspect of the present disclosure, there is provided a traffic information processing method including: in response to receiving current driving route information, comparing the current driving route information with historical driving route information corresponding to the current driving route information to obtain a first comparison result; in response to the fact that the current driving route information comprises first target change information according to the first comparison result, checking the current driving route information; and updating the historical travel route information with the first target change information in response to receiving a first signal indicating that the audit is successful.

According to another aspect of the present disclosure, there is provided a traffic information processing apparatus including: the first comparison module is used for responding to the received current running route information, and comparing the current running route information with historical running route information corresponding to the current running route information to obtain a first comparison result; the first auditing module is used for responding to the fact that the current driving route information comprises first target change information according to the first comparison result and auditing the current driving route information; and a first updating module for updating the historical travel route information with the first target change information in response to receiving a first signal indicating that the audit is successful.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the traffic information processing method of the present disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a traffic information processing method of the present disclosure.

According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the traffic information processing method of the present disclosure.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 schematically illustrates an exemplary system architecture to which the traffic information processing method and apparatus may be applied, according to an embodiment of the present disclosure;

fig. 2 schematically shows a flow chart of a traffic information processing method according to an embodiment of the present disclosure;

fig. 3 schematically shows an overall flowchart of a traffic information processing method according to an embodiment of the present disclosure;

fig. 4 schematically shows a block diagram of a traffic information processing apparatus according to an embodiment of the present disclosure; and

FIG. 5 illustrates a schematic block diagram of an example electronic device that can be used to implement embodiments of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure, application and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations, necessary confidentiality measures are taken, and the customs of the public order is not violated.

In order to provide the user with the relevant navigation of public transportation in more accurate detail, the production and the production of the navigation data are needed. The production of public transportation data requires manual work to actually take a line to be produced, various required information is recorded through mobile phone software, and then the information is uploaded to a background for manual verification and production.

The mode and steps adopted by the manufacture can include: the acquisition personnel install acquisition APP (Application) on the mobile phone for data acquisition. If a certain bus is collected, the user needs to actually take the bus. The relevant data is acquired by shooting bus stop information, acquiring bus running information and the like. And after the acquisition is finished, uploading the data to a server for storage and analysis. And judging whether the line is changed or not through data analysis and comparison, and if so, generating a corresponding line manufacturing task and asking for manufacturing by an operator. And after checking the collected information, the operating personnel carries out corresponding line manufacturing according to the collected information. Such as adding lines, modifying lines, deleting lines, etc. To ensure that the stored data is consistent with the actual line data. The data is then reviewed by the inspector, if determined to be error-free, and can be stored for querying. Through a series of manual processing, the actual line information is converted into data information to be stored in a server for retrieval and use by a user.

The inventor finds that the manufacturing mode needs a large amount of manual investment in the process of realizing the concept disclosed by the invention, and the quality of all people cannot be guaranteed to be excellent when manual work is involved. Because a large amount of operations such as data collection, data production, data auditing and the like depend on manual methods, errors are inevitably generated, and the success rate cannot be guaranteed. When the data amount becomes large, task accumulation is easily generated because the work energy efficiency cannot be sequentially expanded in a short time.

In addition, the efficiency of manual fabrication is also problematic. Because the manufacturing efficiency of each person is different, the same batch of data exists, and the available time points from production to completion are different, so that the investment is influenced. The manpower has 8 hours of working time limit, so no matter how fast, there is a delay of about one day. Causing the data to actually come online late, resulting in an uncontrollable and typically greater than 1 day time period being consumed in the period between the discovery of the change in the line information to the final data that can be presented to the user. In addition, the time required from the generation of the route change information to the final change presentation to the navigation is preferably as short as possible, and it is desirable that the change presentation be capable of being performed in real time. And manual production cannot realize real-time change display of data. Thus resulting in data delay and degradation of data quality. In addition, the accuracy of the data has a large influence on the experience of the user, so that the accuracy and the quality of the data are improved, and the method has great significance on products.

The disclosure provides a traffic information processing method, a traffic information processing device, an electronic device and a storage medium. The method comprises the following steps: in response to receiving the current travel route information, comparing the current travel route information with historical travel route information corresponding to the current travel route information, resulting in a first comparison result. And in response to the fact that the first target change information is included in the current driving route information according to the first comparison result, checking the current driving route information. In response to receiving a first signal indicating that the audit is successful, the historical travel route information is updated with the first target change information.

Fig. 1 schematically shows an exemplary system architecture to which the traffic information processing method and apparatus may be applied according to an embodiment of the present disclosure.

It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios. For example, in another embodiment, an exemplary system architecture to which the traffic information processing method and apparatus may be applied may include a terminal device, but the terminal device may implement the traffic information processing method and apparatus provided in the embodiments of the present disclosure without interacting with a server.

As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.

The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as a knowledge reading application, a web browser application, a search application, an instant messaging tool, a mailbox client, and/or social platform software, etc. (by way of example only).

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for content browsed by the user using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device. The Server may be a cloud Server, which is also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in a traditional physical host and a VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be noted that the traffic information processing method provided by the embodiment of the present disclosure may be generally executed by the terminal device 101, 102, or 103. Accordingly, the traffic information processing apparatus provided by the embodiment of the present disclosure may also be provided in the terminal device 101, 102, or 103.

Alternatively, the traffic information processing method provided by the embodiment of the present disclosure may also be generally executed by the server 105. Accordingly, the traffic information processing apparatus provided by the embodiment of the present disclosure may be generally disposed in the server 105. The traffic information processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the traffic information processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.

For example, when the traffic information needs to be processed, the terminal devices 101, 102, 103 may acquire the current travel route information and then transmit the acquired current travel route information to the server 105. The server 105 compares the current travel route information with historical travel route information corresponding to the current travel route information in response to receiving the current travel route information, and obtains a first comparison result; and in response to determining that the current travel route information includes the first target change information according to the first comparison result, performing audit on the current travel route information, and in response to receiving a first signal indicating that the audit is successful, updating the historical travel route information with the first target change information. Or by a server or server cluster capable of communicating with the terminal devices 101, 102, 103 and/or the server 105, and updates the historical travel route information.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Fig. 2 schematically shows a flow chart of a traffic information processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the method includes operations S210 to S230.

In operation S210, in response to receiving the current travel route information, the current travel route information is compared with historical travel route information corresponding to the current travel route information, resulting in a first comparison result.

In operation S220, in response to determining that the first target change information is included in the current travel route information according to the first comparison result, the current travel route information is checked.

In operation S230, in response to receiving the first signal indicating the success of the audit, the historical travel route information is updated with the first target change information.

According to the embodiment of the present disclosure, the current driving route information may be acquired at the current time according to the traffic system, and may not be limited thereto. The transportation system may include at least one of a transit system, a subway system, a railway system, an airline flight system, and the like. The historical travel route information may include all of the travel route information that has been stored in the database. The historical driving route information can be acquired at historical time according to the public traffic system, and can also be acquired manually. The travel route information may include at least one of route direction information, site information, operating time information, fare information, and the like.

According to an embodiment of the present disclosure, the first target change information may include at least one of newly added route information, newly added station information at the present time, and new operating time information, new fare information, and the like different from the recorded operating time information, fare information, and the like, which are obtained manually or by using a small-range transportation system such as a public transportation system. The short-range transportation system may include a system corresponding to public transportation in which a distance between adjacent stations is less than or equal to a preset distance. By comparing the current travel route information with the history travel route information corresponding to the current travel route information, the first target change information in which there is a change in the current travel route information with respect to the history travel route information can be determined based on the obtained comparison result. The checking of the current driving route information may include sending the current driving route information to a checking node, and checking, by a corresponding checking party, the first target change information in the current driving route information based on the checking node to ensure accuracy of content of the first target change information included in the current driving route information.

According to an embodiment of the present disclosure, in a case where it is determined via the auditor audit that the content of the first target change information is error-free, a first signal indicating that the audit is successful may be generated. In response to receiving the first signal indicating that the audit is successful, corresponding information in the historical travel route information may be updated with the first target change information. And making the bus line, the subway line and the like according to the updated historical driving line information.

For example, for the current travel route information, a communication connection may be established with a public transportation system, based on the public transportation system, the current route direction information and the current stop information of the public transportation at the current time may be obtained, and the current route direction information and the current stop information of the public transportation may be compared with the historical route direction information and the historical stop information stored in the database, so as to obtain the first comparison result. And updating the corresponding historical driving route information in time under the condition of checking and confirming no error according to the first target change information with change determined by the first comparison result. The updating mode can comprise: and updating information of the changed parameters in the parameters related to the line name according to the line name.

According to the embodiment of the disclosure, the number of the public transportation systems for establishing communication connection can be increased, and the current driving route information of more routes can be acquired based on more public transportation systems. By the method, the quality and the accuracy of the acquired information can be improved, and the efficiency of the acquisition process and the subsequent processing process can be improved. In addition, on the basis of accurately acquiring the information, the change can be sensed more quickly, so that the efficient execution of the updating process is promoted.

Through the above-described embodiments of the present disclosure, automation of the process from receiving the current travel route information to updating the history travel route information can be achieved. The automatic process can obtain information change more quickly, and update the change more quickly, so that the changed information can be displayed to the user more quickly, and the user experience is effectively improved.

The method shown in fig. 2 is further described below with reference to specific embodiments.

According to an embodiment of the present disclosure, in a case where other change information different from the first target change information is included in the current travel route information, the traffic information processing method may further include: in response to determining that first other alteration information other than the first target alteration information is included in the current travel route information according to the first comparison result, the history travel route information is updated with the first other alteration information.

According to an embodiment of the present disclosure, the first other change information may include at least one of newly added route information, newly added station information, and new operation time information, new fare information, and the like different from the recorded operation time information, fare information, and the like at the current time, which are obtained from a wide-range transportation system such as a railway system, a flight system, and the like. The wide-range transportation system may include a system corresponding to public transportation in which a distance between adjacent stations is greater than a preset distance. And according to the updated historical travel route information, at least one of bus route, subway route, train route, flight route and the like can be made.

Through the embodiment of the disclosure, automatic updating of more information can be realized, updating efficiency is improved, and user experience is improved.

According to an embodiment of the present disclosure, in a case where travel route information that cannot be obtained according to a traffic system is included in the travel route information, the above-described traffic information processing method may further include: and responding to the received image information, and performing image recognition on the image information to obtain a recognition result. And in response to the fact that the first target attribute information is included in the identification result, comparing the first target attribute information with historical attribute information corresponding to the first target attribute information to obtain a second comparison result. And verifying the identification result in response to determining that the first target attribute information includes the second target change information according to the second comparison result. In response to receiving a second signal indicating that the audit was successful, the historical attribute information is updated with second target change information.

According to the embodiment of the disclosure, the image information may include at least one of image information obtained by manual shooting, related screenshot information, and the like. The first target attribute information may include at least one of site information, operating time information, fare information, and the like.

According to an embodiment of the present disclosure, the second target change information may include at least one of new site information, new operating time information, new fare information, and the like. By comparing the first target attribute information with the historical attribute information, the second target change information in which there is a change in the first target attribute information with respect to the historical attribute information can be determined based on the obtained comparison result. The checking of the first target attribute information may include sending the first target attribute information to a checking node, and the corresponding checking party performs checking on the second target change information in the first target attribute information based on the checking node to ensure accuracy of content of the second target change information included in the first target attribute information.

According to an embodiment of the present disclosure, in a case where it is determined via the auditor audit that the content of the second target change information is error-free, a second signal indicating that the audit is successful may be generated. In response to receiving the second signal indicating that the audit was successful, corresponding information in the historical attribute information may be updated with second target change information. And according to the updated historical attribute information, at least one of bus lines, subway lines, train lines and the like can be made.

For example, for information such as a website, an operating time, a ticket price, etc., a user may upload a photograph or a screenshot and identify the information in the image using image processing techniques. Under the condition that the information can be accurately identified, the subsequent comparison, the audit and other processing can be automatically carried out, and the information updating is realized. When the relevant information cannot be identified, the uploaded image information such as the picture and the screenshot can be updated, and the operations can be repeatedly executed.

According to the embodiment of the disclosure, the driving route information which cannot be obtained according to the traffic system can be collected in an image collection mode as much as possible. By adopting the image identification method with higher identification accuracy and efficiency, the information processing efficiency can be effectively improved.

Through the embodiment of the disclosure, the image acquisition is introduced in front, image information is identified based on an image identification technology, and identifiable related information is automatically processed, so that the manual work amount can be effectively reduced, the overall work speed and quality are improved, and the user experience is improved.

According to an embodiment of the present disclosure, in a case where at least one of the current travel route information and the identification result needs to be checked, the traffic information processing method may further include: and generating a target to-be-audited task in response to receiving at least one of the current travel route information including the first target change information and the identification result including the second target change information. And determining the target task type and the target task grade corresponding to the target task to be audited according to the task type of the target task to be audited and the number of the parameters to be audited. And determining a target auditor matched with the target task to be audited according to the target task type, the target task level and second target attribute information corresponding to each of the plurality of auditors. And sending the target to-be-audited task to a target auditing node corresponding to the target auditing party so as to facilitate auditing of the target to-be-audited task by the target auditing party.

According to an embodiment of the present disclosure, at least one first route name may be determined according to current travel route information. In this case, the target to-be-audited task may include a task generated from the at least one first route name and the first target change information included in the current travel route information. In this case, the target task to be audited may also include a task generated according to the at least one second route name and an image corresponding to the recognition result, or according to the at least one second route name and second target change information included in the recognition result. When the first route name and the first route name have the same route name, at least one of the first target change information, the second target change information, the image information and the like corresponding to the same route name may be merged to obtain the target task to be audited.

According to an embodiment of the present disclosure, the task type may include at least one of a route class, a site class, and the like, and may not be limited thereto. The route class task can comprise a plurality of sites to be checked. A plurality of parameters to be audited can be included in one site to be audited. The task level can be determined according to at least one of the task type, the parameter to be audited and the like, and the task level can measure the difficulty level of one task.

For example, in the case that the task type is a site class and the parameter to be audited is less than or equal to the first predefined value, the task level may be determined to be a low difficulty level. And under the condition that the task type is the site class and the parameter to be audited is greater than a first predefined value, determining the task grade to be the medium-low difficulty grade. And under the condition that the task type is the route class and the parameter to be audited is less than or equal to a second predefined value, determining the task grade to be a medium-high difficulty grade. And under the condition that the task type is a route class and the parameter to be audited is greater than a second predefined value, determining the task level to be a high difficulty level and the like. The manner of determining the task level may not be limited.

It should be noted that the task level may also be expressed in the form of a numerical value, and the greater the numerical value, the greater the difficulty of the corresponding task to be audited.

According to an embodiment of the present disclosure, the second target attribute information may include at least one of work efficiency, yield of completed historical tasks, proficiency level for different types of tasks, and the like, and may not be limited thereto. The work efficiency may have different metrics depending on the task level.

According to the embodiments of the present disclosure, in the case where the second target attribute information includes the work efficiency, the good yield, and the proficiency, the priorities of the good yield, the proficiency, and the work efficiency may be sequentially lowered. Determining a target auditor matched with the target task to be audited according to the target task type, the target task level and second target attribute information corresponding to each of the plurality of auditors may include: firstly, according to the good product rate of the historical tasks finished by each of the plurality of auditors, a plurality of first auditors with higher good product rates are determined. And then, determining a plurality of second auditors with higher quantity degrees according to the proficiency degree of each first auditor for the target task type task. And then, determining a plurality of third auditors with higher working efficiency according to the respective working efficiency of the second auditors. The target reviewers may include at least one of one or more first reviewers that perform the greatest number of target task level class tasks, one or more second reviewers that perform the greatest number of target task level class tasks, and one or more third reviewers that perform the greatest number of target task level class tasks.

According to the embodiment of the present disclosure, in the case where the second target attribute information includes the work efficiency, the good product rate, and the proficiency level, the good product rate, the proficiency level, and the work efficiency may also be sequentially configured with weights that gradually decrease. Determining a target auditor matched with the target task to be audited according to the target task type, the target task level and second target attribute information corresponding to each of the plurality of auditors may include: and determining initial evaluation values corresponding to the work efficiency, the good product rate and the proficiency of each auditor according to the respective historical work efficiency, the good product rate of the completed historical tasks and the historical proficiency of different types of tasks of the auditors. And determining target evaluation values of the work efficiency, the good product rate and the proficiency according to the initial evaluation values of the work efficiency, the good product rate and the proficiency and the weights configured for the work efficiency, the good product rate and the proficiency, and determining a plurality of fourth auditors with higher evaluation values according to the sum of the target evaluation values. The target reviewers may include one or more fourth reviewers that may have the greatest number of tasks of the class based on the level of performance of the target tasks.

According to the embodiment of the disclosure, each target auditor can correspond to one target audit node, and the target auditor audits the task to be audited based on the target audit node.

Through the embodiment of the disclosure, the tasks to be audited can be distributed to the corresponding target auditors according to the difference of the workload required by the tasks to be audited in different grades, the working efficiency of different auditors, the task completion yield and the difference of proficiency of different types of tasks. By realizing the automation and the intellectualization of the distribution process, the processing efficiency of the information processing process of each part such as the automatic processing process, the auditing process and the like can be effectively improved, a high-quality processing result is obtained, and the user experience is improved.

According to an embodiment of the present disclosure, in a case where at least one of the current travel route information and the identification result needs to be checked, the traffic information processing method may further include: and in response to the fact that the auditing yield of the target auditing party is smaller than or equal to a first preset threshold value, sending the target task to be audited to at least one other auditing node, so that the target task to be audited can be audited by the target auditing party and other auditing parties corresponding to the other auditing nodes.

According to the embodiment of the disclosure, under the condition that the historical audit yield of the target auditor for auditing the task to be audited is low, audit nodes can be correspondingly added in the audit process, and more auditors can audit the task to be audited.

Through the embodiment of the disclosure, by adding the auditing nodes and performing task auditing by more auditing parties, the quality of the auditing result can be improved and the accuracy of the auditing information can be improved under the condition that the auditing yield of the target auditing party is low.

According to an embodiment of the present disclosure, in a case that the target audit node includes a plurality of target audit nodes, and the plurality of target audit nodes correspond to a plurality of target auditors, the sending the target to-be-audited task to the target audit node corresponding to the target auditor may further include: and in response to the fact that the target auditors with the auditing yield greater than the second preset threshold value are determined to be included in the plurality of target auditors, sending the target to-be-audited tasks to the target auditing nodes corresponding to the target auditors with the auditing yield greater than the second preset threshold value.

Through the embodiment of the disclosure, under the condition that the historical audit yield of a plurality of target auditors for auditing the task to be audited is higher, the audit nodes in the audit process can be correspondingly reduced, for example, the audit nodes corresponding to the target auditors with higher historical audit yield can be retained, the audit nodes corresponding to the target auditors with lower historical audit yield are deleted, and the like.

By the embodiment of the disclosure, by reducing the number of the auditing nodes, fewer auditors with higher yield can audit the tasks, so that the auditing efficiency can be effectively improved, and the instruction of the auditing result and the accuracy of the auditing information can be ensured.

Fig. 3 schematically shows an overall flowchart of a traffic information processing method according to an embodiment of the present disclosure.

As shown in fig. 3, the method includes operations S310 to S390.

In operation S310, traffic system information is received.

In operation S320, image information uploaded by a user is received.

In operation S330, other information uploaded by the user is received.

In operation S340, current travel route information is obtained.

In operation S350, it is determined whether an audit is required? If yes, executing operations S360-S380; if not, go to S390.

In operation S360, in response to a comparison result of comparing the current travel route information with the historical travel route information corresponding to the current travel route information, it is determined that the current travel route information includes the change information, and a task to be audited is generated.

In operation S370, the task to be audited is distributed to the corresponding auditing node, so that the auditor audits the change information.

In response to receiving the signal indicating the success of the audit, the change information is transmitted to the database for storing the historical travel route information, completing the information update in operation S380.

In operation S390, in response to determining that the change information is included in the current travel route information according to a comparison result of comparing the current travel route information with the history travel route information corresponding to the current travel route information, the change information is transmitted to a database for storing the history travel route information, and information update is completed.

According to an embodiment of the present disclosure, the other information may include all current travel route information collected by the user. The current travel route information may be obtained from information such as information of a traffic system, image information, and other information. The current travel route information may include the above-described first target attribute information. For example, the information uploaded by the user and the information of the newly added line, station, etc. need to be audited.

The operations corresponding to S360 to S380 may be performed on the current travel route information corresponding to at least one of the image information, the other information, and the like in S320 to S330. In the case where the transportation system is a short-range transportation system such as a bus, the operations corresponding to S360 to S380 may be performed when it is determined that the current travel route information corresponding to the transportation system information in S310 includes information such as a newly added route and a station in comparison with the historical travel route information. The signal indicating the success of the audit in operation S380 may include the first signal and the second signal described above.

In the case that the transportation system is a large-scale transportation system such as a train, a flight, etc., for the current travel route information corresponding to the transportation system information in S310, the operation corresponding to S390 may be executed under the condition that it is determined that there are information such as a newly added route, a station, etc., in the presence of the current travel route information compared to the historical travel route information, and the information may be directly put in storage to complete the information update without manual review. According to the information stored in the database, bus lines, subway lines, train lines, flight lines and the like can be constructed in real time.

Through the embodiment of the disclosure, in the process of processing the traffic information, the automatic processing of the information is realized by receiving the traffic system and the image information, so that most of single and tedious manual work can be reduced, the automation proportion in the process of processing the information is improved, and the labor is saved. By combining an intelligent task distribution method, the workload, the operation flow and the operation difficulty distributed to different operators can be intelligently regulated and controlled according to different working qualities, speeds, operation capabilities and the like, the advantages of each operator are fully exerted, and the overall operation quality and operation efficiency are ensured. By combining the automatic processing and intelligent task distribution method, the operation speed and the working efficiency of operators can be effectively improved, so that the time period required by information updating can be effectively shortened, and the line manufacturing efficiency is improved. In addition, the machine for realizing automatic processing can continuously run for twenty-four hours, and the performance of the server can be flexibly regulated, so that the cost can be saved on the basis of ensuring the efficiency.

Fig. 4 schematically shows a block diagram of a traffic information processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 4, the traffic information processing apparatus 400 includes a first comparison module 410, a first review module 420, and a first update module 430.

And a first comparing module 410, configured to compare, in response to receiving the current travel route information, the current travel route information with historical travel route information corresponding to the current travel route information, and obtain a first comparison result.

And the first auditing module 420 is configured to audit the current driving route information in response to determining that the current driving route information includes the first target change information according to the first comparison result.

A first updating module 430 for updating the historical travel route information with the first target change information in response to receiving the first signal indicating the success of the audit.

According to an embodiment of the present disclosure, the traffic information processing apparatus further includes a second update module.

And the second updating module is used for responding to the fact that the first other change information except the first target change information is contained in the current running route information according to the first comparison result, and updating the historical running route information by using the first other change information.

According to an embodiment of the present disclosure, the traffic information processing apparatus further includes an image recognition module, a second comparison module, a second review module, and a third update module.

And the image recognition module is used for responding to the received image information and carrying out image recognition on the image information to obtain a recognition result.

And the second comparison module is used for comparing the first target attribute information with the historical attribute information corresponding to the first target attribute information in response to the fact that the identification result comprises the first target attribute information to obtain a second comparison result.

And the second auditing module is used for responding to the fact that the first target attribute information comprises second target change information according to the second comparison result and auditing the identification result.

And the third updating module is used for responding to the reception of a second signal indicating successful auditing and updating the historical attribute information by using the second target change information.

According to an embodiment of the present disclosure, the traffic information processing apparatus further includes a generation module, a first determination module, a second determination module, and a first transmission module.

And the generating module is used for responding to at least one of the received current driving route information comprising the first target change information and the received identification result comprising the second target change information, and generating a target task to be audited.

And the first determining module is used for determining the target task type and the target task grade corresponding to the target task to be audited according to the task type of the target task to be audited and the number of the parameters to be audited.

And the second determining module is used for determining a target auditor matched with the target task to be audited according to the target task type, the target task grade and second target attribute information corresponding to each of the plurality of auditors.

The first sending module is used for sending the target to-be-audited task to a target auditing node corresponding to the target auditing party so as to facilitate auditing of the target to-be-audited task by the target auditing party.

According to an embodiment of the present disclosure, the traffic information processing apparatus further includes a second transmitting module.

And the second sending module is used for sending the target to-be-audited task to at least one other auditing node in response to the fact that the auditing yield of the target auditing party is smaller than or equal to the first preset threshold value, so that the target to-be-audited task can be audited by the target auditing party and other auditing parties corresponding to the other auditing nodes.

According to an embodiment of the present disclosure, a target auditing node includes a plurality of target auditing nodes corresponding to a plurality of target auditors. The first transmitting module includes a transmitting unit.

And the sending unit is used for responding to the target auditors with the auditing yield greater than the second preset threshold value in the plurality of target auditors, and sending the target to-be-audited task to the target auditing node corresponding to the target auditors with the auditing yield greater than the second preset threshold value.

According to an embodiment of the present disclosure, the current travel route information is obtained from a traffic system.

According to an embodiment of the present disclosure, the first target change information includes at least one of: newly added line information, newly added station information, new operation time information and new ticket price information.

According to an embodiment of the present disclosure, the second target change information includes at least one of: site information, operation time information, ticket price information.

According to an embodiment of the present disclosure, the second target attribute information includes at least one of: work efficiency, yield of finished historical tasks, proficiency level for different types of tasks.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

According to an embodiment of the present disclosure, an electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the traffic information processing method of the present disclosure.

According to an embodiment of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a traffic information processing method of the present disclosure.

According to an embodiment of the present disclosure, a computer program product comprising a computer program which, when executed by a processor, implements the traffic information processing method of the present disclosure.

FIG. 5 illustrates a schematic block diagram of an example electronic device 500 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 5, the apparatus 500 comprises a computing unit 501 which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The calculation unit 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 501 executes the respective methods and processes described above, such as the traffic information processing method. For example, in some embodiments, the traffic information processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the traffic information processing method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the traffic information processing method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (20)

1. A traffic information processing method, comprising:

in response to receiving current driving route information, comparing the current driving route information with historical driving route information corresponding to the current driving route information to obtain a first comparison result;

in response to the fact that the current driving route information comprises first target change information according to the first comparison result, checking the current driving route information; and

in response to receiving a first signal indicating that the audit is successful, the historical travel route information is updated with the first target change information.

2. The method of claim 1, further comprising:

in response to determining that first other change information other than the first target change information is included in the current travel route information according to the first comparison result, updating the historical travel route information with the first other change information.

3. The method of claim 1 or 2, further comprising:

responding to the received image information, and carrying out image identification on the image information to obtain an identification result;

in response to the fact that the identification result comprises first target attribute information, comparing the first target attribute information with historical attribute information corresponding to the first target attribute information to obtain a second comparison result;

in response to determining that the first target attribute information includes second target change information according to the second comparison result, auditing the identification result; and

updating the historical attribute information with the second target change information in response to receiving a second signal indicating a successful audit.

4. The method according to any of claims 1-3, further comprising:

generating a target to-be-audited task in response to receiving at least one of current travel route information including first target change information and an identification result including second target change information;

determining a target task type and a target task grade corresponding to the target task to be audited according to the task type of the target task to be audited and the number of parameters to be audited;

determining a target auditor matched with the target task to be audited according to the target task type, the target task level and second target attribute information corresponding to each of a plurality of auditors; and

and sending the target to-be-audited task to a target auditing node corresponding to the target auditing party so as to facilitate auditing of the target to-be-audited task by the target auditing party.

5. The method of claim 4, further comprising:

and in response to the fact that the auditing yield of the target auditing party is smaller than or equal to a first preset threshold value, sending the target task to be audited to at least one other auditing node, so that the target task to be audited can be audited by the target auditing party and other auditing parties corresponding to the other auditing nodes.

6. The method of claim 4, wherein the target auditing node comprises a plurality of target auditing nodes corresponding to a plurality of target auditors;

the step of sending the target to-be-audited task to a target auditing node corresponding to the target auditing party comprises the following steps:

and in response to the fact that the target auditors with the audit yield larger than a second preset threshold value are determined to be included in the target auditors, sending the target to-be-audited task to the target audit node corresponding to the target auditors with the audit yield larger than the second preset threshold value.

7. The method according to any one of claims 1-6, wherein the current travel route information is obtained from a transportation system.

8. The method of any of claims 1-7, wherein the first target change information comprises at least one of: newly added line information, newly added station information, new operation time information and new ticket price information.

9. The method of any of claims 3-8, wherein the second target change information comprises at least one of: site information, operation time information, ticket price information.

10. The method according to any of claims 5-9, wherein the second target attribute information comprises at least one of: work efficiency, yield of finished historical tasks, proficiency level for different types of tasks.

11. A traffic information processing apparatus comprising:

the first comparison module is used for responding to the received current running route information, and comparing the current running route information with historical running route information corresponding to the current running route information to obtain a first comparison result;

the first auditing module is used for responding to the fact that the current driving route information comprises first target change information according to the first comparison result and auditing the current driving route information; and

a first updating module for updating the historical travel route information with the first target change information in response to receiving a first signal indicating a successful audit.

12. The apparatus of claim 11, further comprising:

and the second updating module is used for responding to the fact that the current driving route information comprises first other change information except the first target change information according to the first comparison result, and updating the historical driving route information by using the first other change information.

13. The apparatus of claim 11 or 12, further comprising:

the image recognition module is used for responding to the received image information and carrying out image recognition on the image information to obtain a recognition result;

the second comparison module is used for comparing the first target attribute information with historical attribute information corresponding to the first target attribute information to obtain a second comparison result in response to the fact that the identification result comprises the first target attribute information;

the second auditing module is used for responding to the fact that the first target attribute information comprises second target change information according to the second comparison result and auditing the identification result; and

a third updating module for updating the historical attribute information with the second target change information in response to receiving a second signal indicating a successful audit.

14. The apparatus of any of claims 11-13, further comprising:

the generating module is used for responding to at least one of the received current driving route information comprising the first target change information and the received identification result comprising the second target change information to generate a target task to be audited;

the first determining module is used for determining a target task type and a target task grade corresponding to the target task to be audited according to the task type of the target task to be audited and the number of parameters to be audited;

the second determining module is used for determining a target auditor matched with the target task to be audited according to the target task type, the target task grade and second target attribute information corresponding to each of a plurality of auditors; and

and the first sending module is used for sending the target to-be-audited task to a target auditing node corresponding to the target auditing party so as to facilitate auditing of the target to-be-audited task by the target auditing party.

15. The apparatus of claim 14, further comprising:

and the second sending module is used for sending the target to-be-audited task to at least one other auditing node in response to the fact that the auditing yield of the target auditing party is smaller than or equal to a first preset threshold value, so that the target to-be-audited task can be audited by the target auditing party and other auditing parties corresponding to the other auditing nodes.

16. The apparatus of claim 14, wherein the target auditing node comprises a plurality of target auditing nodes corresponding to a plurality of target auditors;

the first transmitting module includes:

and the sending unit is used for responding to the target auditors with the auditing yield larger than a second preset threshold value in the target auditors, and sending the target to-be-audited task to the target auditing node corresponding to the target auditors with the auditing yield larger than the second preset threshold value.

17. The apparatus according to any one of claims 11-16, wherein the current travel route information is obtained from a transportation system.

18. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10.

19. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-10.

20. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-10.

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