Clearing algorithm correction scheme of urban rail transit clearing center system

Abstract

The invention discloses a clearing algorithm correction scheme of an urban rail transit clearing center system. The scheme comprises the following steps: pushing a sign-in notice when a passenger enters a station by using an APP; the passengers upload station information during transfer; a registration notification is pushed when the passenger leaves the station by using the APP; organizing ticket checking, sign-in and registration information as travel paths of the passengers; performing rationality examination on the path information; correcting the existing transfer path information by using the path information; summarizing passenger flow proportions among the travel paths; calculating a confidence coefficient, and correcting an existing clearing proportion by taking a passenger flow proportion of which the confidence coefficient is greater than a set threshold value; and carrying out correction activities regularly. According to the scheme, the actual transfer path of the passenger can be obtained, the clearing path and the clearing proportion of the clearing center system are corrected, and the problems that the clearing algorithm is difficult to adjust and lags behind and the credibility of the clearing result cannot be checked due to various conditions and environment changes are effectively solved.

Description

Technical Field

[0001] The invention relates to a solution to the problem of solving the sorting algorithm correction in an urban rail transit sorting center system. Background Art

[0002] At present, most of the clearing algorithms used in the urban rail transit network clearing system are based on a two-stage, dual-proportion scheme; this scheme is based on an exhaustive search of the passengers' travel paths, combined with several selected key parameters such as total travel time, number of transfers, and transfer walking distance, and then applies a normal distribution model to generate theoretical clearing ratios between paths. Combined with questionnaire survey data, the algorithm parameters are adjusted to fit the questionnaire statistical data.

[0003] For the subsequent inspection and adjustment of the clearing algorithm, other technical methods are generally considered, such as signal density based on communication base stations, dedicated / combined sensors to count people; due to other defects, they are not widely used at present. For example, first, the technical method used cannot be closely related to the travel itinerary of passengers in the AFC system (Automatic Fare Collection System, rail transit automatic ticket vending and checking system), and the disturbance factors in sampling are relatively large; second, the construction investment cost is large, and the investment is made once in a project manner, which makes subsequent implementation difficult, and the investment cost has no sustainability and obvious cost-effectiveness; therefore, the recognition of rail transit operators is limited.

[0004] With the advancement of technology and economic development, the AFC system business is also developing and evolving. The boarding credentials in most cities have been converted to real-name based on mobile personal terminals, and most rail transit operators have also introduced and used mobile applications such as mini programs and APPs. Based on the positioning technology of mobile signals, the large-scale promotion of boarding QR codes has also cultivated the usage habits of passengers. Therefore, the conditions for proposing and applying this solution are met. Summary of the invention

[0005] The main purpose of the present invention is to provide a solution for correcting the sorting algorithm of a clearing center system of urban rail transit, aiming to solve the problems of credibility verification and subsequent adjustment of the current sorting algorithm.

[0006] To achieve the above object, the present invention provides a solution for correcting the sorting algorithm of a clearing center system of urban rail transit, and the solution comprises the following steps: Conduct a passenger travel questionnaire survey before opening, and generate the initial clearing algorithm path and clearing ratio based on the line network topology; Push notifications to every APP real-name passenger who checks in, suggesting that passengers sign in at the transfer station, and give points or designated rewards to passengers who sign in in combination with subway business. The APP sign-in information includes passenger information and sign-in station information; For each APP real-name passenger who has left the station and has a transfer on each travel route, the passenger is reminded to register the transfer station, and the registered passenger is given points or designated rewards in combination with subway business. The APP registration information includes passenger information and check-in station information; The passenger's itinerary path information is formed based on the entry information, check-in / registration information, and exit information; Conduct a rationality review on the itinerary route information and eliminate unreasonable itinerary route information; Compare the acquired travel path information with the clearing travel path of the existing clearing algorithm, and correct the travel path information of the clearing algorithm; The passenger flow ratio between the obtained travel path information is statistically summarized regularly; the sampling rate of the transfer passenger flow is calculated according to the line network passenger flow, and the confidence evaluation of the current round of statistical data is performed. The passenger flow distribution ratio and the revenue distribution ratio between the clearing travel paths of the existing clearing algorithm are corrected using the travel path statistical ratio with the confidence reaching the threshold, and applied to the clearing process; Based on the network construction, driving conditions, urban planning layout, and construction changes, various correction work is initiated regularly to ensure the timely application of the clearing algorithm path and clearing algorithm.

[0007] Before the opening, a passenger travel questionnaire survey is conducted, and the initial clearing algorithm path and clearing ratio are generated in combination with the line network topology, including: This is the current common method for generating a clearing algorithm. First, based on the network topology, an exhaustive or graph theory approach is used to find the transfer paths between all travel itineraries within the network. Then, clearing influencing factors are selected, generally total travel time, number of transfers, and transfer walking distance. A normal distribution model is then applied to generate theoretical clearing ratios between paths. Combined with the questionnaire survey data, the parameters of the normal distribution model are adjusted to fit the questionnaire statistical data.

[0008] The above-mentioned push notification is given to each APP real-name passenger who checks in and enters the station, suggesting that the passenger sign in at the transfer station, and giving the signed-in passenger points or designated rewards in combination with the subway business. The APP sign-in information includes the passenger information and the sign-in station information, including: When passengers use the APP to check in with their real names, a notification is pushed to the passenger APP, informing the passenger that there are discounts for using the APP to sign in at the transfer station. The discounts are generally combined with subway business to give signed passengers points or designated rewards; The APP check-in information includes passenger information and check-in station information, which is implemented by using a variety of methods for passengers to actively report transfer station information, including: Method 1, providing a check-in QR code on advertisements posted in prominent locations in the station hall and platform of the transfer station, or on passenger information screen media, for transfer passengers to scan the code to check in, and associate preferential information; Method 2, providing a positioning check-in service on the passenger APP; when the passenger actually checks in at the transfer station, the passenger's coordinate positioning or scanned station information is obtained, and the APP generates and uploads the check-in information; In particular, the above check-in information is collected in real time with real name, has a certain degree of credibility, and can truly reflect the actual transfer station of the passengers.

[0009] For each travel route, the real-name APP passenger who has left the station and has a transfer, reminds the passenger to register the transfer station, and gives the registered passenger points or designated rewards in combination with the subway business. The APP registration information includes passenger information and check-in station information; the content includes: After the passenger exits the station, the APP will determine whether there is a transfer based on the travel itinerary information. If there is a transfer, a notification will be pushed to inform the passenger that there is a discount activity for registering the transfer station; the passenger is guided to register the transfer station information in the APP. When the passenger registers the transfer station after exiting the station, the APP will generate and upload the registration information, which includes the passenger information and the transfer station information; In particular, the credibility of registration information is not as good as that of check-in information. There are cases where passengers make false registrations at will. Subsequently, data review will need to be conducted in combination with the passengers' travel information to remove unreasonable registration information.

[0010] The passenger's itinerary path information is formed based on the entry information, check-in / registration information, and exit information; the content includes: The travel itinerary information is obtained based on the passenger's entry and exit information stored in the system equipment of the automatic ticket vending and checking system, and the check-in / registration information is obtained based on the passenger's real-name information in the entry and exit information, thereby obtaining the passenger's travel route information; In particular, when the road network is large, passengers may need to transfer multiple times but will not sign in every time they transfer. Therefore, it is necessary to combine the travel path information obtained by the existing clearing algorithm, the passenger's historical sign-in information and historical travel path information to obtain the passenger's travel path information for this trip.

[0011] The rationality review of the travel itinerary path information is conducted to eliminate unreasonable travel itinerary path information; the content includes: Travel itinerary path information including sign-in information will be accepted, and travel itinerary path information including registration information will be subject to rationality review. During the rationality review, matching and judgment will be made based on the passenger's entry information, exit information, and registration information. The rationality of the registration information will be judged from aspects such as transfer stations included in the matching path, total travel time, and passengers' personal habits. Travel itinerary path information that fails the review will not be accepted.

[0012] The obtained travel path information is compared with the travel path cleared by the existing clearing algorithm, and the travel path information of the clearing algorithm is corrected; the content includes: According to the clearing travel paths of the existing clearing algorithm, distinguish the travel itineraries of passengers that do not need to transfer and the travel itineraries of passengers that need to transfer. For the travel itineraries of passengers that need to transfer, count the paths composed of the transfer stations given by the existing clearing algorithm, the paths composed of the stations included in the passenger check-in information, and the paths composed of the stations included in the passenger registration information, and obtain the combination of the three as the transfer path between all travel itineraries; In particular, the transfer paths between the latter two travel itineraries are obtained through actual sampling and have a certain degree of credibility, which has a corrective effect on the paths obtained by the initial clearing algorithm through theoretical calculations based on the network topology and normal distribution model.

[0013] The passenger flow ratio between the travel itinerary path information obtained by the regular statistical summary; the sampling rate of the transfer passenger flow is calculated according to the line network passenger flow, and the confidence evaluation of the current round of statistical data is performed, and the passenger flow distribution ratio and the revenue distribution ratio between the clearing travel paths of the existing clearing algorithm are corrected by using the travel path statistical ratio whose confidence reaches the set threshold, and applied to the clearing processing; the content includes: For passenger trips that require transfers, the total number of transfer passengers, the number of transfer passengers on each path with sign-in information, and the number of transfer passengers on each path with registration information are counted according to the acquired travel itinerary paths. According to the ratio of sign-in / registered passenger flow to the total passenger flow, the confidence evaluation of the sampling information is performed. If the sampled passenger flow ratio reaches the set confidence threshold, the ratio of the passenger flow on each path to the transfer passenger flow between travel trips is calculated according to the statistical data of each path of the sampling data, and this is used as the correction data for the clearing ratio this time, and is applied to the subsequent passenger flow clearing and revenue clearing. If the sampled passenger flow ratio does not reach the set confidence threshold, the data ratio of the transfer paths between sampled travel trips and the sampled passenger flows between each path is referred to, the factors for calculating the clearing travel itinerary paths and the clearing ratio of the existing algorithm are adjusted, and a new ratio is generated by fitting for subsequent clearing.

[0014] The above-mentioned regular rectification work is initiated according to the network construction, traffic conditions, urban planning layout, and construction changes to ensure the timely application of the clearing algorithm, clearing path, and clearing ratio; the content includes: When new lines or stations are opened, train timetables are adjusted, or new residential or commercial areas are built and put into use near stations, corrective work shall be initiated in a timely manner; and during the operation period, in combination with the commercial operation of the subway, corrective work shall be initiated continuously or regularly to examine the rationality of the clearing paths and clearing ratios in the clearing system and make corrections.

[0015] The solution of the urban rail transit clearing center system to solve the problem of clearing algorithm correction is based on the current business transformation of the AFC system and combined with the development and application of the current subway TOD construction model (Transit-Oriented Development), which can comprehensively achieve multiple projects such as business development, passenger flow survey, and revenue clearing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of calculating a clearing algorithm used in the current rail transit network clearing system involved in the embodiment of the present invention to obtain a clearing travel route, a passenger flow clearing ratio, a revenue clearing ratio, and an application of the clearing ratio; Figure 2 Schematic diagram of a flow chart of an embodiment of the present invention.

[0017] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0019] like Figure 1 As shown, Figure 1 It is a schematic diagram of the clearing algorithm used in the current rail transit network clearing system involved in the embodiment of the present invention, for obtaining the clearing travel route, passenger flow clearing ratio, revenue clearing ratio and the application of the clearing ratio. Figure 1 The content is a prerequisite for the implementation of the present invention and is only briefly explained here.

[0020] like Figure 1 As shown, Figure 1 The path damping described in S10 includes a variety of influencing factors, and the most commonly used ones are the shortest path (shortest total travel time), the number of transfers, and the transfer distance. The travel path search algorithm generally sets the maximum number of transfers to reduce the time required for the algorithm to run. The choice of the travel path of the clearing algorithm will present different results under different conditions.

[0021] like Figure 1The parameter selection of the normal distribution function described in S11 will affect the obtained results. Generally, the actual route selection intention is obtained by relying on the questionnaire survey before opening. The principle of selecting parameters is that the passenger flow distribution result obtained by calculation should fit the distribution of the questionnaire survey results as much as possible.

[0022] like Figure 1 The travel route parameters described in S11 may be the total distance or number of stations for each route, and the revenue is distributed among the routes (operators) according to the proportion of the selected parameters.

[0023] like Figure 1 The clearing algorithm described in S1 focuses on the calculation of the clearing ratio of freight charges, while other charges, such as service charges, are based on the agreement between rail transit automatic ticket vending and checking operators and are cleared according to the number of stations or other parameters.

[0024] like Figure 1 The clearing application process described in S2 is a process of allocating the passenger flow and revenue of barrier-free transfer to each line and each operator based on the passenger flow clearing ratio and the revenue clearing ratio.

[0025] Those skilled in the art will understand that Figure 1 The clearing algorithm shown in the figure generates a clearing ratio and applies the clearing ratio to perform clearing. The process is only used to illustrate the processing process of a general rail transit clearing system, and is not used to limit the method and application process of generating the initial clearing ratio involved in the present invention.

[0026] Reference Figure 2 The embodiment of the present invention provides a solution for correcting the sorting algorithm of the urban rail transit sorting center system, and the solution includes: Step S30: APP passengers enter the station with their real names. APP here is a synonym for mobile application, which can be a small program or an independent application of each rail transit company.

[0027] Specifically, the APP is multifunctional and is a client that integrates customer, user, and account, and requires real-name registration; the APP's associated functions generally include support for post-paid ride codes, online purchase of virtual tickets, account binding payment, and itinerary inquiries; the APP runs on personal mobile terminals, which generally have the functions of QR code display, code scanning, and facial camera.

[0028] Specifically, passenger entry here refers to the process in which the passenger displays his or her ticket and enters the rail transit paid area through the automatic ticket checking device. The automatic ticket checking device obtains the ticket information during this process, and combines the station where the device is installed and the time when the ticket checking occurs, and organizes the entry information to be uploaded to the rail transit clearing center through the automatic ticket vending and checking system. The passenger's ticket displayed on the APP contains the passenger's identification information.

[0029] Step S31, push notification to the passenger APP, informing the passenger that there is a discount activity when signing in at the transfer station APP. The notification push here is an active operation of the APP background management system, and the APP needs to receive and display it.

[0030] Specifically, because the passenger's travel destination cannot be determined when the passenger enters the station, and further, it cannot be determined whether the passenger needs to transfer during this trip, the message push here is for all passengers who use the APP to enter the station and check tickets. However, passengers are not obliged to actively sign in at the transfer station. It is necessary to attract passengers to participate in the sign-in through preferential methods. Preferential activities can be combined with subway business, or they can be used as the cost of clearing algorithm inspection and correction, and the project will be established for payment processing.

[0031] Step S32: The passenger signs in at the transfer station and uses the APP to scan the code or locate the coordinates.

[0032] Specifically, a variety of methods are used at transfer stations for passengers to actively sign in and report transfer station information, for example: Method 1, advertisements posted in conspicuous locations in the station hall / platform of the transfer station, such as passenger information screens, provide sign-in QR codes for transfer passengers to scan the code to sign in using the APP, and associate preferential information on the APP sign-in page; the sign-in QR code contains the site information of the transfer site; Method 2, a positioning sign-in page is provided on the passenger APP, the passenger's positioning information is obtained when the passenger signs in, and the associated preferential information is displayed; the APP backend management system obtains the passenger's sign-in site information based on the passenger's positioning information. When the passenger actually signs in at the transfer station, the APP generates and uploads the sign-in information.

[0033] Specifically, in this embodiment, when a passenger uses positioning information to sign in, there is a situation where the positioning location is not actually at the transfer station, or even not within the rail transit line. Therefore, it is necessary to subsequently associate the sign-in information with the ticket inspection information of the AFC system to identify and remove unreasonable and messy data. The sign-in information contains the passenger's mark information, which can identify the source of the positioning information and mark passengers with false sign-in information.

[0034] Step S33, when the passenger exits the station, it is determined whether there is a transfer based on the travel itinerary. If there is a transfer, a notification is pushed to inform the passenger that there is a discount activity at the transfer station.

[0035] Specifically, passenger exit here refers to the process in which the passenger displays his / her ticket and leaves the rail transit paid area through the automatic ticket checking device. The automatic ticket checking device obtains the ticket information during this process, and organizes the exit information to be uploaded to the clearing center system through the AFC system based on the station where the device is installed and the time when the ticket checking occurs. The passenger's ticket displayed on the APP contains the passenger's identification information.

[0036] The preferential notification information pushed here is the same as the preferential notification information described in S31.

[0037] In particular, whether a transfer is required is determined based on the travel itinerary. There are various different situations in various rail transit network topologies. Here, a travel itinerary with only one path is determined as a travel itinerary that does not require a transfer.

[0038] Step S34, the passenger registers the transfer station.

[0039] Specifically, passengers enter the operation interface on the APP, select the transfer station they will pass through during their trip and submit it, and the APP will generate and upload registration information.

[0040] At this point, the passenger investigation process is completed. The correction process of this embodiment is described below.

[0041] Step S40, matching the AFC entry transaction (S30), the AFC exit transaction (S33), the check-in transaction (S32) / registration transaction (S34) according to the passenger information to form the passenger travel path information.

[0042] Specifically, the AFC entry transaction (S30) and AFC exit transaction (S33) here are travel itinerary information possessed by the AFC system itself. Under barrier-free transfer conditions, it is impossible to determine the actual travel route of the passenger when there are multiple accessible routes.

[0043] In particular, in this solution, when there is a check-in transaction (S32) / registration transaction (S34), the actual riding route of the passenger can be matched based on the APP passenger's information.

[0044] Specifically, based on the information of the APP passenger, the above related information is searched to form a data set, and then the entry site included in the AFC entry transaction (S30) is used as the starting point, and it is determined one by one whether the sites included in the check-in transaction (S32) / registration transaction (S34) are on the path to the sites included in the AFC exit transaction (S33), and they are sorted in the order passed. After the sorting is completed, preliminary itinerary path information is formed.

[0045] In particular, in a travel itinerary that includes multiple transfers, the sign-in transaction (S32) / registration transaction (S34) may only include some of the intermediate transfer stations. If the sign-in transaction (S32) / registration transaction (S34) can determine the complete path, it is necessary to complete it based on the above preliminary itinerary path information. If the sign-in transaction (S32) / registration transaction (S34) cannot confirm the complete path, it is completed according to the optimal path in the clearing path of the existing clearing algorithm.

[0046] Step S41, judging the rationality of the travel route information in S40, and eliminating unreasonable travel itinerary transfer routes (false registration of passengers or low-probability passenger behavior).

[0047] Specifically, in the data set of step S40, if it is determined that the site information included in the check-in transaction (S32) / registration transaction (S34) is not on the path to the site included in the AFC outbound transaction (S33), or the site in the registration transaction (S34) cannot constitute this trip, it is marked as false information and will not be accepted.

[0048] In particular, there are cases where passengers are unfamiliar with the subway network or choose less efficient or multiple-turn routes just to enjoy the scenery of the subway stations, and sign in completely each time; such information will also be treated as false information here.

[0049] Step S42, adjusting the travel path selected by the existing clearing algorithm, adding a reasonable new travel transfer path in S41, and marking the transfer station group of the travel path.

[0050] Specifically, the travel itinerary transfer path information obtained in step S41 and the travel itinerary clearing path selected by the existing clearing algorithm are combined into a data set as a new travel itinerary path set; the travel itinerary path set includes new paths and no new paths.

[0051] Step S43, counting the proportion of passengers between the marked transfer paths of each travel itinerary.

[0052] Specifically, for travel itinerary information without sign-in transactions (S32) / registration transactions (S34) or travel itinerary information that is unreliable, the clearing path ratio obtained by the existing clearing algorithm is used for clearing operations to obtain the cleared passenger flow data of each travel itinerary path; for travel itinerary information with sign-in transactions (S32) / registration transactions (S34), the passenger flow data of each travel itinerary path is counted according to the data processed in step S42; the passenger flow information of passengers without sign-in / registration is superimposed to obtain summarized passenger flow statistical data.

[0053] Furthermore, the passenger flow statistics summary data of each travel itinerary route is calculated with the total passenger flow of the current travel itinerary to obtain the proportion of passengers between transfer routes of each travel itinerary.

[0054] Step S44, make a confidence judgment based on the passenger flow proportion, compare the proportion of the confidence reaching the set threshold in the S43 statistics with the passenger flow allocation ratio of the algorithm, adjust the clearing algorithm parameters, and correct the passenger flow clearing ratio.

[0055] Specifically, the statistical data of the travel itinerary information with sign-in transactions (S32) / registration transactions (S34) and the cleared passenger flow data of the travel itinerary information without sign-in transactions (S32) / registration transactions (S34) described in step S43 are calculated to obtain the proportion of sampled passenger path information between the travel itinerary paths, and the proportion is used as the confidence value. If the proportion reaches or exceeds the set threshold, the calculation result of step S43 is used as the proportion for subsequent clearing; if the proportion does not reach or exceed the set threshold, the confidence value is output, the reason is analyzed, and measures are formulated to strengthen the next step of sampling guidance.

[0056] Step S45, modifying the clearing ratio of profit distribution.

[0057] Specifically, the travel itinerary transfer routes and the passenger flow clearing ratios between the routes obtained in steps S40 to S44 are used, combined with the revenue clearing parameters, to recalculate the revenue clearing ratio, which is subsequently used in the clearing operation.

[0058] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0059] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0060] Through the description of the above implementation methods, those skilled in the art can clearly understand the implementation principles and implementation steps of the above embodiment methods. Based on such understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be run on any terminal and system including a computer, including several software and operations to enable the terminal and system to execute the methods described in each embodiment of the present invention.

[0061] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A solution for correcting the sorting algorithm of a sorting center system for urban rail transit, characterized in that: The scheme comprises the following steps: When passengers use the APP to check in with their real names, push notifications to the passenger APP, informing them that there are discounts for using the APP to sign in at the transfer station; When the passenger actually signs in at the transfer station, the passenger's coordinate location or station information scanned by the passenger is obtained; When passengers check in and exit the station, the system determines whether there is a transfer based on the matched travel information. If there is a transfer, a notification is pushed to inform the passenger that there is a discount activity at the transfer station; the passenger is guided to register the transfer station information in the APP; The passenger's itinerary path information is formed based on the entry information, check-in / registration information, and exit information; Conduct a rationality review on the itinerary route information and eliminate unreasonable itinerary route information; Compare the travel path information obtained by the calculation process with the travel path cleared by the existing clearing algorithm, and correct the travel path information of the clearing algorithm; Count the passenger flow ratio between the travel route information obtained after correction; According to the sampling rate of the transfer passenger flow in the line network passenger flow summary statistics, the confidence of the current round of statistical data is calculated, and the passenger flow distribution ratio and revenue distribution ratio between the clearing travel paths of the existing clearing algorithm are corrected using the travel path statistical proportion with a confidence level reaching a preset threshold, and applied to the clearing process; Conduct corrective activities regularly and continuously revise the clearing algorithm.

2. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: When passengers use the APP to check in with their real names, a notification is pushed to the passenger APP, informing the passengers that there are discounts for using the APP to sign in at the transfer station.

3. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: A variety of methods are adopted for passengers to actively report transfer station information, including: providing a check-in QR code in advertisements posted in prominent locations in the station hall and platform of the transfer station, and on the media of the passenger information screen for passengers to scan and check in, and associate with preferential information; providing a positioning check-in service on the passenger APP; when the passenger actually checks in at the transfer station, the passenger's coordinate location or scanned station information is obtained, and the APP generates and uploads the check-in information.

4. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: After the passenger exits the station, the app determines whether there is a transfer based on the travel itinerary information. If there is a transfer, a notification is pushed to inform the passenger that there is a discount activity at the transfer station; the passenger is guided to register the transfer station information in the APP; When passengers register for the transfer station after exiting the station, the APP will generate and upload the registration information.

5. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: The passenger's travel route information is composed based on the entry information, check-in / registration information, and exit information.

6. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: The travel itinerary information of the passengers will be subject to a rationality review, and registration information that fails the review will not be adopted.

7. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: The reviewed travel itinerary path information is compared with the cleared travel path of the existing clearing algorithm to correct the cleared travel path information.

8. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: The passenger flow ratio between the travel route information obtained after statistical summary and correction is obtained.

9. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: According to the sampling rate of the transfer passenger flow in the line network passenger flow statistics, the confidence calculation of this round of statistical data is performed. For the travel path information whose confidence reaches the set threshold, its statistical ratio is used to correct the passenger flow distribution ratio and revenue distribution ratio of the existing clearing center system clearing algorithm.

10. The urban rail transit clearing center system clearing algorithm correction solution as claimed in claim 1, characterized in that: Carry out corrective activities regularly and continuously check and correct the clearing ratios of the clearing algorithm.

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