Method and system for continuing and refunding tickets influenced by late arrival of preceding vehicle

Abstract

The invention discloses a continuous ticket refunding method influenced by the arrival delay of a front train, and the method comprises the steps: collecting the current train delay data in real time through the position information of a vehicle-mounted station train interaction device in the train operation process; establishing an analysis model of transfer time required by internal transfer of each station and transfer between stations in the same city, and analyzing and acquiring reference time required by passengers to complete transfer through the transfer time analysis model; based on the reference time and the delay data, after a passenger ticket refunding application is received, all continuous train tickets of the passenger and travel characteristics of the passenger are inquired according to a current ticket, and a continuous train arrival delay analysis result of the current ticket refunding application is automatically analyzed; and according to the subsequent train arrival delay analysis result, passenger ticket refunding operation is executed. According to the method, the handling efficiency of each ticket refunding channel and the ticket refunding passenger satisfaction of each channel are improved, and the customer service complaint rate is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of railway transportation ticketing, and in particular to a method and system for refunding subsequent tickets affected by the delay of the preceding train. Background Art

[0002] At present, because the railway 12306 website lacks unified and accurate train arrival delay data, passengers who arrive on a delayed train cannot take the subsequent connecting train normally and need to apply for a refund of the original price of the subsequent connecting ticket. They can only go to the station window after getting off the train at the station to handle it. The station staff will confirm that the passenger cannot take the connecting train due to the previous train delay and handle the original price of the ticket for the passenger, and waive the refund fee. If a passenger applies for a refund through the railway 12306 website (including mobile apps, mini-programs, etc.), the system can only handle it according to the normal refund process and automatically collect the refund fee. Although the refund fee can be refunded later by calling 12306 customer service, the handling process is complicated, there are many confirmation links, and the handling efficiency is low, which brings great inconvenience to passengers and easily causes dissatisfaction among passengers.

[0003] At present, there is still a lack of an effective method for generating refunds for connecting tickets affected by the delay of the previous train. The existing technical methods cannot solve the technical problem that passengers cannot take the subsequent connecting train normally after the train they take is delayed and need to apply for a refund of the original price of the subsequent connecting ticket.

[0004] In order to solve the above-mentioned technical problems, it is urgent to propose a method and system for refunding connecting tickets affected by the delay of the previous train, so as to automatically collect the location information of the station-train interaction equipment held by the train captain for comparative analysis, establish an analysis model of the transfer time required for internal transfers within each station and transfers between stations in the same city, and automatically analyze whether the current ticket for refund application is affected by the delay of the previous train, which is of great significance to improving the efficiency of various refund channels and the satisfaction of passengers who refund through various channels. Summary of the invention

[0005] In order to solve the defects of the prior art mentioned above, the present invention proposes a method and system for refunding a subsequent ticket affected by the delay of the preceding train.

[0006] In a first aspect, an embodiment of the present application provides a method for refunding a connecting ticket affected by a delay in the arrival of a preceding train, the method comprising:

[0007] Delay data collection steps: During the train operation, the current train delay data is collected in real time through the location information of the on-board station-train interaction equipment;

[0008] Transfer time analysis step: establishing a transfer time analysis model for transfers within each station and between stations in the same city, and obtaining the benchmark time required for passengers to complete the transfer through the transfer time analysis model;

[0009] Late departure analysis step: Based on the reference time and the late departure data, after receiving a passenger's ticket refund application, query all connecting train tickets of the passenger and the passenger's travel characteristics according to the current ticket, and automatically analyze the late arrival analysis result of the connecting train for the current ticket refund application;

[0010] Ticket refund step: Execute the passenger ticket refund operation according to the late arrival analysis result of the connecting train.

[0011] In a specific embodiment of the present invention, the above-mentioned ticket refund data collection step includes:

[0012] During the train operation, automatically collect the position information of the on-vehicle station-train interaction device, and conduct comparative analysis of the late departure data;

[0013] Or confirm the arrival at the station by operating the on-vehicle station-train interaction device, obtain the late arrival information of the current train, conduct comparative analysis of the late departure data, and update the departure information.

[0014] In a specific embodiment of the present invention, the above-mentioned transfer time analysis step includes:

[0015] Obtain the in-station transfer reference time library for each station through passenger transfer behavior simulation;

[0016] Or collect the transfer reference times of various transportation modes between stations of urban rail transit stations through Internet big data analysis, and perform median processing by type to finally form the transfer reference time library between stations of urban rail transit stations.

[0017] In a specific embodiment of the present invention, the above-mentioned late departure analysis step includes:

[0018] After receiving the passenger's ticket refund application, query all connecting train tickets of the passenger and the passenger's travel characteristics according to the current ticket, perform weighted processing on different travel characteristics based on the transfer reference time to obtain the transfer weighted time; wherein, the passenger travel characteristics include: age of traveling companions, whether there are disabled persons, whether there are free ticket children, whether to book a car, whether it is a key passenger, and the passenger flow at the station during transfer;

[0019] Based on the late departure data of the previous train, the transfer weighted time, and the departure time of the following train, obtain the late arrival analysis result of the connecting train based on the transfer reference time library.

[0020] In a specific embodiment of the present invention, the above-mentioned late departure analysis step further includes:

[0021] When the previous train has arrived at the station and the arrival time is later than the departure time of the current train, execute the relevant ticket refund operation;

[0022] When the preceding train has not arrived at the station but is already late, the scheduled arrival time of the preceding train is obtained by summing the scheduled arrival time according to the timetable and the confirmed late arrival duration by the on-train and station interaction device; when the scheduled arrival time of the preceding train is later than the departure time of the current train, relevant refund operations are performed when refunding the connecting ticket.

[0023] In a specific embodiment of the present invention, the above-mentioned late arrival analysis step further includes:

[0024] When the expected arrival time of the preceding train is earlier than the departure time of the connecting train, by comparing the arrival station of the first segment of the journey and the departure station of the second segment of the journey in the connecting ticket, it is judged whether the transfer type is the same-station transfer or the transfer between stations in the same city, the benchmark transfer time of different types is obtained, and considering the influence of the travel characteristics of the connecting ticket, the benchmark transfer time is weighted to obtain the weighted transfer time.

[0025] In a specific embodiment of the present invention, the above-mentioned late arrival analysis step further includes:

[0026] When the sum of the expected arrival time of the preceding train and the weighted transfer time is greater than or equal to the departure time of the connecting train, and the late arrival of the preceding train affects the boarding of the connecting train, relevant refund operations for the connecting ticket are performed;

[0027] When the sum of the expected arrival time of the preceding train and the weighted transfer time is less than the departure time of the connecting train, relevant refund operations are performed according to the normal refund process.

[0028] In a second aspect, an embodiment of the present application provides a system for refunding connecting tickets affected by the late arrival of the preceding train, which adopts the method for refunding connecting tickets affected by the late arrival of the preceding train as described above. The system includes:

[0029] Late arrival data collection module: During the operation of the train, the late arrival data of the connecting train to be processed is collected in real time through the position information of the on-train and station interaction device;

[0030] Transfer time analysis module: Establish an analysis model for the transfer time required for internal transfers within each station and transfers between stations in the same city, and analyze and obtain the benchmark time required for passengers to complete the transfer through the transfer time analysis model;

[0031] Late arrival analysis module: Based on the benchmark time and the late arrival data, after receiving the passenger's refund application, according to the current ticket, query all the connecting train tickets of the passenger and the travel characteristics of the passenger, and automatically analyze the late arrival analysis result of the connecting train for the current refund application;

[0032] Refund module: According to the late arrival analysis result of the connecting train, perform the passenger refund operation.

[0033] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above-mentioned method for refunding connecting train tickets affected by the late arrival of the preceding train are implemented.

[0034] In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above-mentioned method for refunding connecting train tickets affected by the late arrival of the preceding train are implemented.

[0035] Compared with the related prior art, it has the following outstanding beneficial effects:

[0036] 1) The method of the present invention improves the handling efficiency of each refund channel

[0037] It can provide a unified basis for handling the original-price refund of connecting train tickets affected by late arrival at each channel of the station window (including vending machines with refund functions), the 12306 website (including mobile apps, mini programs, etc.), reduce manual judgment and processing, and improve the handling efficiency and accuracy of refund at each channel.

[0038] 2) The method of the present invention improves the satisfaction of refund passengers at each channel and reduces the customer service complaint rate

[0039] By automatically handling the original-price refund of connecting train tickets affected by late arrival through the system, it expands the channels for handling the original-price refund of corresponding tickets, reduces the amount of customer service complaints, and improves the user experience and passenger satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0041] Figure 1 is a schematic flow chart of the method for refunding connecting train tickets affected by the late arrival of the preceding train according to the present invention;

[0042] Figure 2 is a schematic flow chart of the method for refunding connecting train tickets affected by the late arrival of the preceding train according to an embodiment of the present invention;

[0043] Figure 3 is a schematic diagram of the system for refunding connecting train tickets affected by the late arrival of the preceding train according to the present invention;

[0044] Figure 4 is a schematic diagram of the computer hardware according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] It should be noted that the processor described in the present invention is the control center of an electronic device, which can be a single processor or a collective term for multiple processing elements. For example, it can be one or more central processing units (CPUs), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as: one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs).

[0046] Optionally, the processor can execute various functions of the electronic device by running or executing software programs stored in the memory and invoking the data stored in the memory.

[0047] In a specific implementation, as an embodiment, the processor may include one or more CPUs. Each of these processors can be a single core processor or a multi-core processor. Here, the processor can refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions). The electronic device can include: servers, desktop computers, laptop computers, smartphones, tablet computers, embedded computers, etc., where the embedded computer includes vehicles and robots, etc.

[0048] The memory is used to store the software program for implementing the solution of the present invention and is controlled by the processor for execution. The specific implementation method can refer to the above method embodiments and will not be elaborated here.

[0049] It should be noted that the structure of the electronic device shown in the drawings of the present invention does not limit it. The actual knowledge structure recognition device may include more or fewer components than shown in the drawings, or combine certain components, or have different component arrangements.

[0050] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0051] It should also be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context.

[0052] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0053] It should also be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0054] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.

[0055] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0056] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0057] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0058] To make the above features and effects of the present invention more clearly and understandably described, specific embodiments are hereinafter given and detailed descriptions are made in conjunction with the accompanying drawings of the specification as follows. This specification discloses one or more embodiments including the features of the present invention. The disclosed embodiments are only for illustrative purposes. The protection scope of the present invention is not limited to the disclosed embodiments, and the present invention is defined by the appended claims.

[0059] The following is a system embodiment corresponding to the above method embodiment, and this implementation manner can be implemented in cooperation with the above implementation manner. The relevant technical details mentioned in the above implementation manner are still valid in this implementation manner. To avoid repetition, they will not be elaborated here. Correspondingly, the relevant technical details mentioned in this implementation manner can also be applied to the above implementation manner.

[0060] The present invention aims to propose a method and system for refunding connecting tickets affected by the late arrival of the preceding train, which realizes automatically collecting the position information of the on-vehicle station-to-train interaction device held by the conductor for comparative analysis, establishing an analysis model for the transfer time required for internal transfers at each station and transfers between stations in the same city, and automatically analyzing whether the currently applied-for refund ticket is affected by the late arrival of the preceding train, which is of great significance for improving the handling efficiency of each refund channel and the satisfaction of refunding passengers at each channel.

[0061] The following is a detailed description in conjunction with specific embodiments.

[0062] Embodiment 1

[0063] As Figure 1 shown, Figure 1 is a method and system for refunding connecting tickets affected by the late arrival of the preceding train disclosed in an embodiment of the present invention.

[0064] The embodiment of the present application provides a method for refunding connecting tickets affected by the late arrival of the preceding train, and the method includes:

[0065] Late arrival data collection step 101: During the operation of the train, the late arrival data of the connecting train to be processed is collected in real time through the position information of the on-vehicle station-to-train interaction device;

[0066] In a specific embodiment of the present invention, the basis data for the system to handle the original price refund of the connecting train is obtained through the conductor's station-to-train interaction device. During the operation of the train, the system automatically collects the position information of the on-vehicle station-to-train interaction device held by the conductor for comparative analysis, or obtains the current train's on-time or late arrival information through the conductor's operation of the station-to-train interaction device for arrival confirmation, and updates the information such as the departure date, full train number, stop stations, and arrival time of the departing train into the passenger ticket system database.

[0067] Transfer time analysis step 102: Establish an analysis model for the transfer time required for internal transfers at each station and transfers between stations in the same city, and analyze and obtain the reference time required for passengers to complete the transfer through the transfer time analysis model;

[0068] In a specific embodiment of the present invention, a transfer time analysis model for internal transfers within each station and transfers between stations in the same city is established. By means of simulation experiments on internal transfer behaviors within stations and Internet applications such as Baidu Map and Didi Chuxing, the reference time required to complete an in-station transfer or a transfer between stations in the same city is obtained. Considering influencing factors such as the transfer time period, weather, and transfer transportation mode, the benchmark time required for a passenger to complete a transfer is obtained through model analysis.

[0069] Delay analysis step 103: Based on the benchmark time and the delay data, after receiving a passenger's refund application, all connecting train tickets of the passenger and the passenger's travel characteristics are queried according to the current ticket, and the arrival delay analysis result of the connecting train for the current refund application is automatically analyzed.

[0070] In a specific embodiment of the present invention, the system automatically analyzes whether the currently applied-for refund ticket is affected by the delay of the previous train. After receiving the passenger's refund application, the system automatically queries all connecting train tickets of the passenger and travel characteristics (such as passenger age, whether disabled, whether carrying a free ticket child, whether booking a car, whether a key passenger, whether there are companions, etc.) according to the current ticket, performs weighted processing on different characteristics based on the transfer benchmark time to obtain the transfer weighted time. Finally, by comparing the previous train's delay time, the transfer weighted time, and the departure time of the following train, it is determined whether the transfer result is affected, and the analysis result is returned in real time.

[0071] Refund step 104: Perform the passenger refund operation according to the arrival delay analysis result of the connecting train.

[0072] In a specific embodiment of the present invention, the system processes the original price refund for the passenger according to the arrival delay analysis result of the connecting train. If there is a situation where the arrival of the connecting train is delayed and affects the boarding of the applied-for refund ticket (the actual arrival time of the previous train is later than the departure time of the current train, or the difference is greater than the maximum transfer time), when the system accepts the passenger's refund application, the refund fee is waived, relevant information is displayed on the refund application interface, the processing result is notified to the passenger through the existing notification channels, and at the same time, data such as the refund stub generated by the original price refund and the processing basis are combined to form an original price refund processing basis table, which is submitted to the revenue audit department for review.

[0073] As Figure 2 shown, in a specific embodiment of the present invention, the above-mentioned refund data collection step 101 includes:

[0074] During the train operation, the position information of the on-vehicle station-vehicle interaction device is automatically collected for delay data comparison and analysis; or the on-vehicle station-vehicle interaction device is operated to confirm the arrival station, the current train's delay information is obtained for delay data comparison and analysis, and the departure information is updated.

[0075] In a specific embodiment of the present invention, a train arrival delay information database is formed through comparison and analysis of location information. Based on the system's automatic collection of the location information of the train-station interaction or the confirmation operation of the conductor on the train-station interaction device, data such as the current location of the train and the delay time are analyzed and determined, forming a unified national database of the actual train operation delays, which provides a basis for handling the original refund of connecting train tickets affected by arrival delays at channels such as station windows and the 12306 railway website.

[0076] In a specific embodiment of the present invention, the above-mentioned transfer time analysis step 102 includes:

[0077] Obtaining the in-station transfer benchmark time database of each station through passenger transfer behavior simulation;

[0078] Or collecting the transfer reference times of various transportation modes between stations in the same city through Internet big data analysis, and performing median processing by type, finally forming the inter-station transfer benchmark time database of stations in the same city.

[0079] In a specific embodiment of the present invention, the in-station transfer and inter-station transfer benchmark time databases (T 换乘基准时间 ) of each station are established:

[0080] (1) Obtaining the in-station transfer benchmark time database of each station through the transfer behavior simulation of ordinary people.

[0081] (2) Collecting the transfer reference times of various transportation modes between stations in the same city through Internet big data analysis (such as the 12306 App of the railway, Baidu Map, Didi Chuxing, etc.), and performing median processing by type, finally forming the inter-station transfer benchmark time database of stations in the same city.

[0082] In a specific embodiment of the present invention, the above-mentioned delay analysis step 103 includes:

[0083] After receiving the passenger's ticket refund application, query all the connecting train tickets of the passenger and the passenger's travel characteristics according to the current ticket, and perform weighted processing on different travel characteristics based on the transfer benchmark time to obtain the transfer weighted time; wherein, the passenger travel characteristics include: passenger age, whether disabled, whether carrying a free ticket child, whether booking a car, whether a key passenger, whether there are accompanying persons;

[0084] Based on the transfer benchmark time database, obtain the analysis result of the arrival delay of the connecting train according to the previous train's delay data, transfer weighted time, and the departure time of the following train.

[0085] In a specific embodiment of the present invention, the above-mentioned delay analysis step 103 further includes:

[0086] When the previous train has arrived at the station and the arrival time is later than the departure time of the current train, perform relevant ticket refund operations;

[0087] When the leading train has not arrived at the station but is already late, the scheduled arrival time of the leading train is obtained by summing the scheduled arrival time according to the schedule and the confirmed late duration by the on-board and station interaction device; when the scheduled arrival time of the leading train is later than the departure time of the current train, relevant refund operations are performed when refunding the connecting ticket.

[0088] In a specific embodiment of the present invention, the above-mentioned late arrival analysis step further includes:

[0089] When the expected arrival time of the leading train is earlier than the departure time of the connecting train, by comparing the arrival station of the first segment of the journey and the departure station of the second segment of the journey in the connecting ticket, it is judged whether the transfer type is the same-station transfer or the transfer between stations in the same city, and the benchmark transfer time of different types is obtained. Considering the influence of the travel characteristics of the connecting ticket, the benchmark transfer time is weighted to obtain the weighted transfer time.

[0090] In a specific embodiment of the present invention, the above-mentioned late arrival analysis step further includes:

[0091] When the sum of the expected arrival time of the leading train and the weighted transfer time is greater than or equal to the departure time of the connecting train, and the late arrival of the previous train affects the boarding of the connecting train, relevant refund operations for the connecting ticket are performed;

[0092] When the sum of the expected arrival time of the leading train and the weighted transfer time is less than the departure time of the connecting train, relevant refund operations are performed according to the normal refund process.

[0093] In a specific embodiment of the present invention, establishing an analysis model for the impact of the late arrival of the connecting train includes:

[0094] After the system accepts the refund application, it judges whether the refund of the current ticket needs to collect a refund fee. If a refund fee needs to be collected and there is a previous connecting ticket, it judges whether it is affected by the late arrival of the leading train. The specific algorithm is as follows:

[0095] (1) When the leading train has arrived at the station and the arrival time is later than the departure time of the current train (T 前车实际到站时间 ≥T 接续列车发车时间 ), the refund fee is waived.

[0096] (2) When the leading train has not arrived at the station but is already late, the expected arrival time T of the leading train is obtained by summing the scheduled arrival time T 图定到站时间 according to the schedule and the confirmed late duration by the on-board and station interaction device 前车预计到站时间 . When the expected arrival time of the leading train is later than the departure time of the current train (T 前车预计到站时间 ≥T 接续列车发车时间 ), the refund fee is waived when refunding the connecting ticket. When the expected arrival time of the leading train is earlier than the departure time of the connecting train (T 前车预计到站时间 <T 接续列车发车时间) According to the comparison between the arrival station of the first - stage journey and the departure station of the second - stage journey in the connecting ticket (same station or stations in the same city), determine the transfer type as same - station transfer or transfer between stations in the same city, and obtain the transfer benchmark time T for different types. 换乘基准时间 , considering the impact of the travel characteristics of the connecting ticket (such as whether the passenger is an elderly person / child, whether the passenger is disabled, whether the passenger is carrying a free - ticket child, whether the passenger has reserved a car, whether the passenger is a key passenger, whether there is an elderly person / child / disabled person among the fellow travelers, etc.), perform weighted processing on the transfer benchmark time to obtain T 换乘加权时间 (P i are the weight values of each feature).

[0097]

[0098] When (T 前车预计到站时间 + T 换乘加权时间 ) ≥ T 接续列车发车时间 , it indicates that the delay of the previous train affects the boarding of the connecting train, and no refund fee is charged when refunding the connecting ticket. When (T 前车预计到站时间 + T 换乘加权时间 ) < T 接续列车发车时间 , the refund fee is collected according to the normal refund process.

[0099] Embodiment 2

[0100] As Figure 3 shown, the embodiment of the present application provides a connecting - ticket refund system affected by the late arrival of the previous train, which adopts the connecting - ticket refund method affected by the late arrival of the previous train as described above. The system includes:

[0101] Late - arrival data acquisition module 201: During the operation of the train, the late - arrival data of the connecting train to be processed is collected in real - time through the position information of the on - vehicle station - train interaction device;

[0102] Transfer - time analysis module 202: Establish an analysis model for the transfer time required for internal transfer in each station and transfer between stations in the same city, and analyze and obtain the benchmark time required for passengers to complete the transfer through the transfer - time analysis model;

[0103] Late - arrival analysis module 203: Based on the benchmark time and the late - arrival data, after receiving the passenger's refund application, according to the current ticket, query all the connecting - train tickets of the passenger and the passenger's travel characteristics, and automatically analyze the late - arrival analysis result of the connecting train for the current refund application;

[0104] Refund module 204: Execute the passenger refund operation according to the late - arrival analysis result of the connecting train.

[0105] Embodiment 3

[0106] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above-mentioned method for refunding connecting train tickets affected by the late arrival of the preceding train are implemented.

[0107] Embodiment 4

[0108] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above-mentioned method for refunding connecting train tickets affected by the late arrival of the preceding train are implemented.

[0109] In addition, in combination with Figure 1 the method for refunding connecting train tickets affected by the late arrival of the preceding train described in the embodiments of the present application can be implemented by an electronic device, such as a computer device. Figure 4 FIG. is a schematic hardware structure diagram of a computer device according to an embodiment of the present application.

[0110] In some of these embodiments, the computer device may further include a communication interface 83 and a bus 80. Among them, as Figure 4 shown, the processor 81, the memory 82, and the communication interface 83 are connected through the bus 80 and complete communication with each other.

[0111] Specifically, the above-mentioned processor 81 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0112] The memory 82 may be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 81.

[0113] The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the above-mentioned methods for refunding connecting train tickets affected by the late arrival of the preceding train.

[0114] The technical features of the above-mentioned embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0115] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for refunding consecutive train tickets affected by the late arrival of the preceding train, characterized in that, The method includes: The late arrival data collection step: During the train operation, the train late arrival data is collected in real time through the location information of the on-vehicle station-vehicle interaction device; The transfer time analysis step: Establish an analysis model for the transfer time required for internal transfers within each station and transfers between stations in the same city. Through the transfer time analysis model, obtain the reference time required for passengers to complete the transfer; The late arrival analysis step: Based on the reference time and the late arrival data, after receiving a passenger's refund application, query all the connecting train tickets of the passenger and the passenger's travel characteristics according to the current ticket, and automatically analyze the late arrival analysis result of the connecting train for the current refund application; The refund step: Perform the passenger refund operation according to the late arrival analysis result of the connecting train.

2. The method for refunding a connecting ticket affected by the delay of the arrival of the preceding train according to claim 1, wherein The refund data collection step includes: During the train operation, automatically collect the location information of the on-vehicle station-vehicle interaction device, and conduct a comparative analysis of the late arrival data; Or confirm the arrival at the station by operating the on-vehicle station-vehicle interaction device, obtain the current train late arrival information, conduct a comparative analysis of the late arrival data, and update the on-duty information.

3. The method for refunding a connecting train ticket affected by the late arrival of the preceding train according to claim 1, wherein The transfer time analysis step includes: Obtain the in-station transfer reference time library for each station through passenger transfer behavior simulation; Or collect the reference transfer times of various transportation modes between stations in the same city through Internet big data analysis, and perform median processing by type, and finally form the inter-station transfer reference time library for stations in the same city.

4. The method for refunding consecutive train tickets affected by the delay of the arrival of the preceding train according to claim 1, wherein The late arrival analysis step includes: After receiving the passenger's refund application, query all the connecting train tickets of the passenger and the passenger's travel characteristics according to the current ticket, and perform weighted processing on different travel characteristics based on the transfer reference time to obtain the weighted transfer time; among them, the passenger travel characteristics include: the age group of fellow passengers, whether there are disabled people, whether there are free-ticket children, whether to book a car, whether it is a key passenger, and the passenger flow in the station during the transfer period; Based on the late arrival data of the previous train, the weighted transfer time, and the departure time of the following train, obtain the late arrival analysis result of the connecting train based on the transfer reference time library.

5. The refund method for connecting train tickets affected by the late arrival of the preceding train according to claim 4, wherein The late arrival analysis step further includes: When the previous train has arrived at the station and the arrival time is later than the departure time of the current train, perform relevant refund operations; When the previous train has not arrived at the station but has been late, sum up the scheduled arrival time and the confirmed late arrival duration of the station-vehicle interaction device to obtain the estimated arrival time of the previous train; if the estimated arrival time of the previous train is later than the departure time of the current train, perform relevant refund operations when refunding the connecting train ticket.

6. The method for refunding a connecting train ticket affected by the delay of the arrival of the preceding train according to claim 5, wherein The late arrival analysis step further includes: When the estimated arrival time of the previous train is earlier than the departure time of the connecting train, compare the arrival at the end of the previous journey and the departure at the start of the next journey in the connecting train ticket to determine whether the transfer type is in-station transfer or inter-station transfer in the same city, obtain the transfer reference times of different types, consider the influence of the travel characteristics of the connecting train ticket, and perform weighted processing on the transfer reference time to obtain the weighted transfer time.

7. The method for refunding consecutive train tickets affected by the delay of the arrival of the preceding train according to claim 6, wherein, The late arrival analysis step further includes: When the sum of the estimated arrival time of the previous train and the weighted transfer time is greater than or equal to the departure time of the connecting train, and the late arrival of the previous train affects the boarding of the connecting train, perform relevant refund operations for the connecting train ticket; When the sum of the expected arrival time of the preceding train and the weighted transfer time is less than the departure time of the connecting train, relevant refund operations shall be carried out according to the normal refund process.

8. A refund system for connecting train tickets affected by the late arrival of the preceding train, which adopts the method for refunding connecting train tickets affected by the late arrival of the preceding train according to any one of claims 1-7, characterized in that, The system includes: Late arrival data collection module: During the operation of the train, the late arrival data of the current train is collected in real time through the position information of the on-vehicle station-train interaction device; Transfer time analysis module: An analysis model for the transfer time required for internal transfers within each station and transfers between stations in the same city is established, and the benchmark time required for passengers to complete the transfer is obtained through analysis by the transfer time analysis model; Late arrival analysis module: Based on the benchmark time and the late arrival data, after receiving a passenger's refund application, all the connecting train tickets of the passenger and the travel characteristics of the passenger are queried according to the current ticket, and the late arrival analysis result of the connecting train for the current refund application is automatically analyzed; Refund module: According to the late arrival analysis result of the connecting train, the passenger refund operation is carried out.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, the steps of the method for refunding connecting train tickets affected by the late arrival of the preceding train as described in any one of claims 1-8 are implemented.

10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the steps of the method for refunding connecting train tickets affected by the late arrival of the preceding train as described in any one of claims 1 to 7 are implemented.

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