CN110189180B - Ticket processing method and platform - Google Patents
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Abstract
The utility model relates to a railway ticket business system technical field provides a ticket processing method, including: acquiring purchased ticket information without ticket checking, wherein the ticket information at least comprises a train number-ticket face starting site and an approach site; acquiring a pre-generated conditional probability set corresponding to the train number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of path stations, and the conditional probabilities are probability values of ticket checking of the tickets on the path stations; and when ticket checking of any path site is finished, the ticket is not checked in the path site, and the conditional probability corresponding to the path site is smaller than the preset probability, the ticket is set to be available for purchase. Correspondingly, the disclosure also provides a ticket processing platform.
Description
Technical Field
The disclosure relates to the technical field of railway ticketing systems, in particular to a ticket processing method and a platform.
Background
In the peak period of railway passenger transportation, on one hand, the situation that the ticket source is short and the ticket is difficult to demand can occur, and on the other hand, the situation that the railway resources are wasted due to the fact that some passengers cannot ride the car in time due to unexpected reasons can also occur. Most of tickets cannot be refunded after the appointed driving time on the ticket surface, and the economic loss of passengers who cannot take the tickets in time due to unexpected reasons cannot be compensated. Therefore, how to improve the utilization rate of railway resources and reduce the economic loss of passengers becomes an urgent problem to be solved.
It should be noted that the above background description is only for the convenience of a clear and complete description of the technical solutions of the present disclosure and for the understanding of those skilled in the art. Such solutions are not considered to be known to those skilled in the art, merely because they have been set forth in the background section of this disclosure.
Disclosure of Invention
The present disclosure is directed to at least one of the technical problems in the prior art, and provides a ticket processing method and platform.
In a first aspect, an embodiment of the present disclosure provides a ticket processing method, including:
acquiring purchased ticket information without ticket checking, wherein the ticket information at least comprises a train number-ticket face starting site and an approach site;
acquiring a pre-generated conditional probability set corresponding to the train number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of path stations, and the conditional probabilities are probability values of ticket checking of the tickets on the path stations;
and when ticket checking of any path site is finished, the ticket is not checked in the path site, and the conditional probability corresponding to the path site is smaller than the preset probability, the ticket is set to be available for purchase.
Optionally, before the step of obtaining a pre-generated conditional probability set corresponding to the train number-ticket starting station is performed, the method further includes:
obtaining historical riding information corresponding to the number of vehicles, wherein the historical riding information at least comprises the following steps: the method comprises the following steps of (1) taking bus time information, ticket initial site information and actual taking bus sites;
and training a Bayesian network according to the historical riding information and generating a conditional probability set corresponding to each train number-ticket face starting station.
Optionally, the ticket information further includes terminal information corresponding to the ticket;
the method further comprises the following steps after the step of setting the ticket purchasable: and when the ticket money corresponding to the ticket is obtained, returning the ticket money of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information.
Optionally, the conditional probability is P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total.
Optionally, the conditional probability decreases with increasing number of the station of the route, and when there are more stations of the route, the conditional probability corresponding to the station of the route is smaller.
In a second aspect, an embodiment of the present disclosure provides a ticket processing platform, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring purchased ticket information without ticket checking, and the ticket information at least comprises a train number-ticket face starting site and an approach site;
a second obtaining module, configured to obtain a pre-generated conditional probability set corresponding to the train number-ticket face starting station, where the conditional probability set includes conditional probabilities respectively corresponding to multiple route stations, and the conditional probability is a probability value of ticket checking of the ticket at the route station;
and the setting module is used for setting the ticket to be purchasable when ticket checking of any path site is completed, the ticket is not checked in the path site, and the conditional probability corresponding to the path site is less than the preset probability.
Optionally, the method further comprises:
a third obtaining module, configured to obtain historical riding information corresponding to the number of cars, where the historical riding information at least includes: the method comprises the following steps of (1) taking bus time information, ticket initial site information and actual taking bus sites;
and the generating module is used for training a Bayesian network according to the historical riding information and generating a conditional probability set corresponding to each train number-ticket face starting station.
Optionally, the ticket information further includes terminal information corresponding to the ticket;
the ticket processing platform further comprises:
and the returning module is used for returning the ticket money of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information when the ticket money corresponding to the ticket is obtained.
Optionally, the conditional probability is P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total.
Optionally, the conditional probability decreases with increasing number of the station of the route, and when there are more stations of the route, the conditional probability corresponding to the station of the route is smaller.
The present disclosure has the following beneficial effects:
the ticket processing method comprises the steps of obtaining purchased ticket information without ticket checking, wherein the ticket information at least comprises a ticket number-ticket face starting station and an approach station, obtaining a pre-generated conditional probability set corresponding to the ticket number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of approach stations, the conditional probabilities are probability values of ticket checking at the approach stations, and when ticket checking at any one approach station is completed, the ticket is not checked at the approach station, and the conditional probability corresponding to the approach station is smaller than a preset probability, the ticket is set to be available for purchase. The passenger economic loss can be reduced while the railway resource utilization rate is improved.
Specific embodiments of the present disclosure are disclosed in detail with reference to the following description and drawings, indicating the manner in which the principles of the disclosure may be employed. It is to be understood that the embodiments of the present disclosure are not so limited in scope. The embodiments of the present disclosure include many variations, modifications, and equivalents within the spirit and scope of the appended claims.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments, in combination with or instead of the features of the other embodiments.
It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps or components.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a schematic flow chart of a ticket processing method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another ticket processing method provided in the embodiment of the present disclosure;
fig. 3 is a schematic diagram illustrating training of a bayesian network according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a ticket processing platform according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another ticket processing platform according to an embodiment of the present disclosure.
Detailed Description
For those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the present disclosure will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
The principles and spirit of the present disclosure are explained in detail below with reference to several representative embodiments of the present disclosure.
Fig. 1 is a flowchart illustrating a ticket processing method according to an embodiment of the present disclosure, where the method may be executed by a platform, the platform may be implemented by software and/or hardware, and the platform may be integrated in an operator server. As shown in fig. 1, the method comprises the steps of:
102, obtaining a pre-generated conditional probability set corresponding to the train number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of path stations, and the conditional probabilities are probability values of ticket checking of the tickets on the path stations.
And 103, when ticket checking of any route site is finished, the ticket is not checked in the route site, and the conditional probability corresponding to the route site is smaller than the preset probability, the ticket is set to be available for purchase.
The ticket processing method provided by this embodiment obtains ticket information that has been purchased and has not been checked, where the ticket information includes at least a train number-ticket number starting station and an approach station, obtains a pre-generated conditional probability set corresponding to the train number-ticket number starting station, where the conditional probability set includes conditional probabilities corresponding to multiple approach stations, respectively, and the conditional probability is a probability value of ticket checking at the approach station, and when ticket checking at any one of the approach stations is completed, and the ticket is not checked at the approach station, and the conditional probability corresponding to the approach station is smaller than a preset probability, sets the ticket to be purchasable. The passenger economic loss can be reduced while the railway resource utilization rate is improved.
Fig. 2 is a flowchart of another ticket processing method provided in an embodiment of the present disclosure, where the method may be executed by a platform, the platform may be implemented by software and/or hardware, and the platform may be integrated in an operator server. As shown in fig. 2, the method comprises the steps of:
The ticket processing method of the embodiment is based on a railway passenger transport scene.
The same train number corresponds to a plurality of tickets, and each ticket has different ticket face initial station information and riding time information. Alternatively, when the vehicle has a delay, the riding time information is actual departure time information. Further optionally, the historical ride information further includes passenger information.
The ticket processing method is suitable for the rush hour of railway passenger transport, and in the process of training the Bayesian network, a passenger transport peak time period and a passenger transport non-peak time period are divided according to the ticket riding time.
Fig. 3 is a schematic diagram of a bayesian network training method according to an embodiment of the present disclosure, and as shown in fig. 3, the bayesian network is trained according to an initial station, an actual riding station, and a fare riding time, for a certain train number-fare initial station, the initial station is d _0 and has N route stations, and conditional probabilities (i.e., conditional probabilities corresponding to the actual riding stations) of riding the route stations N behind the initial station d _0 are generated during a passenger peak time period and a passenger off-peak time period, and the conditional probabilities of all the actual riding stations form a conditional probability set corresponding to the train number-fare initial station.
It is worth mentioning that the above steps 201 and 202 are based on the following practical application scenarios: in the peak period of railway passenger transportation, in order to purchase tickets meeting the requirements of passengers, part of passengers can purchase tickets which do not conform to the actual bus taking station and the ticket surface starting station.
And when the ticket bus taking time point or the actual departure time point is reached, acquiring the purchased ticket information without ticket checking. Optionally, whether the ticket is not checked is judged in a safety check mode, and ticket information is obtained through prestored railway system data.
The purchased tickets which are not checked may be tickets which cannot be taken by the passenger in time due to unexpected reasons and cannot be refunded after the designated time of taking a bus on the ticket, and may also be tickets which are purchased by the passenger for purchasing the tickets meeting the requirements of the passenger and do not conform to the actual taking site and the ticket starting site.
And 204, acquiring a pre-generated conditional probability set corresponding to the train number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of path stations, and the conditional probabilities are probability values of ticket checking of the ticket on the path stations.
Conditional probability of P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total. The conditional probability decreases as the number of the station of the route increases, and the conditional probability corresponding to the station of the route decreases as the number of the stations of the route increases.
The probability value of ticket checking with a certain approach site is also the probability value of passenger riding at the approach site.
And step 205, when ticket checking of any route site is completed, the ticket is not checked in the route site, and the conditional probability corresponding to the route site is smaller than the preset probability, setting the ticket to be available for purchase.
The preset probability can be set according to the actual scene. When the conditional probability is smaller than the preset probability, judging that the passenger has a lower probability of taking a bus at the route site and the route sites behind the route site, and the smaller the probability of checking the ticket at the route site and the route sites behind the route site, the ticket can be released for other passengers with requirements to purchase.
It is worth to be noted that the ticket is set to be purchasable after the face information of the ticket is modified. Such as: and after the starting site of the ticket is set as the path site with the conditional probability smaller than the preset probability, the ticket is set to be available for purchase.
And step 206, returning the ticket money of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information when the ticket money corresponding to the ticket is obtained.
The ticket information also includes terminal information corresponding to the ticket, for example, the terminal information includes a terminal identifier and terminal ticket purchasing information.
The preset proportion can be set according to an actual scene, when a passenger cannot take a bus in time due to an accident and the ticket cannot be returned after the designated bus drawing time on the ticket surface, the ticket processing method provided by the embodiment sets that the ticket can be purchased, and when the ticket money corresponding to the ticket is obtained, the preset proportion ticket money of the ticket is returned to the terminal corresponding to the ticket according to the terminal information. The economic loss of the passengers can be effectively avoided, and the utilization rate of railway resources is improved.
It should be noted that while the operations of the disclosed methods are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
The ticket processing method provided by this embodiment obtains ticket information that has been purchased and has not been checked, where the ticket information includes at least a train number-ticket number starting station and an approach station, obtains a pre-generated conditional probability set corresponding to the train number-ticket number starting station, where the conditional probability set includes conditional probabilities corresponding to multiple approach stations, respectively, and the conditional probability is a probability value of ticket checking at the approach station, and when ticket checking at any one of the approach stations is completed, and the ticket is not checked at the approach station, and the conditional probability corresponding to the approach station is smaller than a preset probability, sets the ticket to be purchasable. The ticket which cannot be taken by the passenger in time due to unexpected reasons and cannot be returned after the designated driving time on the ticket surface is released in time is released, so that the utilization rate of railway resources is improved; when the ticket money corresponding to the ticket is obtained, the ticket money with the preset proportion of the ticket is returned to the terminal corresponding to the ticket according to the terminal information, and therefore the economic loss of passengers can be reduced.
Fig. 4 is a schematic structural diagram of a ticket processing platform according to an embodiment of the present disclosure, and as shown in fig. 4, the platform includes: a first obtaining module 11, a second obtaining module 12 and a setting module 13.
The first obtaining module 11 is configured to obtain ticket information that has been purchased and has not been checked, where the ticket information includes at least a train number-ticket face starting site and an approach site. The second obtaining module 12 is configured to obtain a pre-generated conditional probability set corresponding to the train number-ticket face starting station, where the conditional probability set includes conditional probabilities respectively corresponding to multiple route stations, and the conditional probability is a probability value of ticket checking at a route station of the ticket. The setting module 13 is configured to set the ticket to be available for purchase when the ticket checking of any route site is completed, the ticket is not checked in the route site, and the conditional probability corresponding to the route site is smaller than the preset probability.
The ticket processing platform provided by the embodiment can reduce the economic loss of passengers while improving the utilization rate of railway resources.
Fig. 5 is a schematic structural diagram of another ticket processing platform provided in the embodiment of the present disclosure, and as shown in fig. 5, the platform includes: a first obtaining module 11, a second obtaining module 12 and a setting module 13.
The first obtaining module 11 is configured to obtain ticket information that has been purchased and has not been checked, where the ticket information includes at least a train number-ticket face starting site and an approach site. The second obtaining module 12 is configured to obtain a pre-generated conditional probability set corresponding to the train number-ticket face starting station, where the conditional probability set includes conditional probabilities respectively corresponding to multiple route stations, and the conditional probability is a probability value of ticket checking at a route station of the ticket. The setting module 13 is configured to set the ticket to be available for purchase when the ticket checking of any route site is completed, the ticket is not checked in the route site, and the conditional probability corresponding to the route site is smaller than the preset probability.
Further, the platform further comprises: a third acquisition module 14 and a generation module 15.
The third obtaining module 14 is configured to obtain historical riding information corresponding to the number of cars, where the historical riding information at least includes: the system comprises riding time information, ticket initial site information and actual riding sites. The generating module 15 is configured to train a bayesian network according to historical riding information and generate a conditional probability set corresponding to each train number-ticket starting station.
Further, the ticket information further includes terminal information corresponding to the ticket. This ticket processing platform still includes: return module 16. The returning module 16 is configured to, when the fare corresponding to the ticket is obtained, return the fare of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information.
Further, the conditional probability is P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total.
Further, the conditional probability decreases as the number of the station of the route increases, and the conditional probability corresponding to the station of the route decreases as the number of the stations of the route increases.
The ticket processing platform provided by the embodiment can be used for implementing the ticket processing method provided by the embodiment.
The ticket processing platform provided by the embodiment can reduce the economic loss of passengers while improving the utilization rate of railway resources.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the present disclosure are explained by applying specific embodiments in the present disclosure, and the above description of the embodiments is only used to help understanding the method and the core idea of the present disclosure; meanwhile, for a person skilled in the art, based on the idea of the present disclosure, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present disclosure should not be construed as a limitation to the present disclosure.
Claims (8)
1. A ticket processing method, comprising:
acquiring purchased ticket information without ticket checking, wherein the ticket information at least comprises a train number-ticket face starting site and an approach site;
acquiring a pre-generated conditional probability set corresponding to the train number-ticket face starting station, wherein the conditional probability set comprises conditional probabilities respectively corresponding to a plurality of path stations, and the conditional probabilities are probability values of ticket checking of the tickets on the path stations;
when ticket checking of any path site is finished, the ticket is not checked in the path site, and the conditional probability corresponding to the path site is smaller than the preset probability, the ticket is set to be available for purchase;
before the step of acquiring the pre-generated conditional probability set corresponding to the train number-ticket face starting station is executed, the method further comprises the following steps:
obtaining historical riding information corresponding to the number of vehicles, wherein the historical riding information at least comprises the following steps: the method comprises the following steps of (1) taking bus time information, ticket initial site information and actual taking bus sites;
and training a Bayesian network according to the historical riding information and generating a conditional probability set corresponding to each train number-ticket face starting station.
2. The ticket processing method of claim 1, wherein the ticket information further includes terminal information corresponding to the ticket;
the method further comprises the following steps after the step of setting the ticket purchasable: and when the ticket money corresponding to the ticket is obtained, returning the ticket money of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information.
3. The ticket processing method as claimed in any one of claims 1-2, wherein the conditional probability is P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total.
4. The ticket processing method of claim 3, wherein the conditional probability decreases as the number of waypoint sites increases, and the conditional probability corresponding to a waypoint site decreases as the number of waypoint sites increases.
5. A ticket processing platform, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring purchased ticket information without ticket checking, and the ticket information at least comprises a train number-ticket face starting site and an approach site;
a second obtaining module, configured to obtain a pre-generated conditional probability set corresponding to the train number-ticket face starting station, where the conditional probability set includes conditional probabilities respectively corresponding to multiple route stations, and the conditional probability is a probability value of ticket checking of the ticket at the route station;
the system comprises a setting module, a receiving module and a processing module, wherein the setting module is used for setting that the ticket can be purchased when ticket checking of any path site is completed, the ticket is not checked in the path site, and the conditional probability corresponding to the path site is less than the preset probability;
a third obtaining module, configured to obtain historical riding information corresponding to the number of cars, where the historical riding information at least includes: the method comprises the following steps of (1) taking bus time information, ticket initial site information and actual taking bus sites;
and the generating module is used for training a Bayesian network according to the historical riding information and generating a conditional probability set corresponding to each train number-ticket face starting station.
6. The ticket processing platform of claim 5, wherein the ticket information further comprises terminal information corresponding to the ticket;
the ticket processing platform further comprises:
and the returning module is used for returning the ticket money of the preset proportion of the ticket to the terminal corresponding to the ticket according to the terminal information when the ticket money corresponding to the ticket is obtained.
7. The ticket processing platform as claimed in any one of claims 5-6, wherein the conditional probability is P (d)0|di) 0 < i < N, wherein P (d)0|di) Presentation and routing site diCorresponding conditional probability, d0Denotes the nominal start site, i denotes the via site number, and N denotes the via site total.
8. The ticket processing platform of claim 7 wherein the conditional probability decreases as the number of waypoint sites increases and the conditional probability corresponding to a waypoint site decreases as more sites are waypoint.
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