CN112015755A - Road passenger transport ticketing information query processing method based on Internet of things technology - Google Patents
Road passenger transport ticketing information query processing method based on Internet of things technology Download PDFInfo
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Abstract
The invention provides a road passenger transport ticketing information query processing method based on the Internet of things technology, which fully utilizes the Internet of things technology to share and display ticket vending data of different road passenger transport ticketing sites, thereby improving the coordination and the identity of the ticket vending adjustment of a road passenger transport system, avoiding the situation of ticket overscale or ticket surplus and maximally mobilizing the passenger transport capacity of the road passenger transport system; in addition, the method can also accurately and timely update and display the adaptive query result according to the ticket query requirement of the user, and pertinently adjust the ticket selling state of each road passenger transport ticket selling station according to the actual ticket selling result obtained by query, thereby improving the ticket selling query convenience to the maximum extent.
Description
Technical Field
The invention relates to the technical field of passenger transport ticketing management, in particular to a road passenger transport ticketing information query processing method based on the Internet of things technology.
Background
At present, electronic ticketing systems are adopted for realizing corresponding ticket selling and recording in road passenger transport systems, but the existing electronic ticketing systems only operate for a single road passenger transport ticketing site, and cannot share data of respective ticket selling states of a plurality of different road passenger transport ticketing sites, so that the adjustment of the overall selling quantity of tickets and the dispatching of the running states of passenger transport buses are not facilitated according to the ticket selling states of different lines and classes; in addition, the existing electronic ticketing system is not convenient for real-time and rapid query and adjustment of the sales condition of the passenger ticket, which greatly reduces the passenger transport efficiency of the road passenger transport system and is not beneficial to fully utilize the passenger transport capacity of the road passenger transport system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a road passenger transport ticketing information query processing method based on the internet of things technology, which comprises the following steps: step S1, constructing an Internet of things network about a plurality of different road passenger transport ticket selling sites, and acquiring different passenger transport information about the different road passenger transport ticket selling sites through the Internet of things network, wherein the different passenger transport information comprises passenger transport volume, passenger transport number of times of buses, full load rate of buses, network ticket selling rate, ticket refunding rate and bus flow/flow direction path information; step S2, acquiring demand information of current passenger transport regular bus dispatching, and performing time screening processing on different passenger transport information according to the demand information, thereby acquiring a passenger transport information set corresponding to passenger transport busy time periods/passenger transport non-busy time periods; step S3, determining the actual passenger transport bus ticketing status information of each road passenger transport ticket station according to the passenger transport information set, and displaying the actual passenger transport bus ticketing status information in real time; step S4, when receiving the inquiry request, generating the inquiry result according to the actual passenger transport regular bus ticket selling state information and outputting the inquiry result; therefore, the method makes full use of the technology of the Internet of things to share and display the ticket selling data of different road passenger transport ticket selling sites, so that the coordination and the identity of the ticket selling adjustment of a road passenger transport system are improved, the condition of ticket overscale or ticket surplus is avoided, and the passenger transport capacity of the road passenger transport system is mobilized to the maximum extent; in addition, the method can also accurately and timely update and display the adaptive query result according to the ticket query requirement of the user, and pertinently adjust the ticket selling state of each road passenger transport ticket selling station according to the actual ticket selling result obtained by query, thereby improving the ticket selling query convenience to the maximum extent.
The invention provides a road passenger transport ticketing information query processing method based on the Internet of things technology, which is characterized by comprising the following steps of:
step S1, constructing an Internet of things network about a plurality of different road passenger transport ticket selling sites, and acquiring different passenger transport information about the different road passenger transport ticket selling sites through the Internet of things network, wherein the different passenger transport information comprises passenger transport volume, passenger transport number of times of buses, full load rate of buses, network ticket selling rate, ticket refunding rate and bus flow/flow direction path information;
step S2, acquiring demand information of current passenger transport regular bus dispatching, and performing time screening processing on the different passenger transport information according to the demand information, thereby acquiring a passenger transport information set corresponding to passenger transport busy time periods/passenger transport non-busy time periods;
step S3, determining the actual passenger transport bus ticketing status information of each road passenger transport ticket station according to the passenger transport information set, and displaying the actual passenger transport bus ticketing status information in real time;
step S4, when receiving an inquiry request, generating an inquiry result corresponding to the inquiry request according to the actual passenger transport regular bus ticketing state information and outputting the inquiry result;
further, in the step S1, an internet of things network is constructed for several different road passenger transport ticket selling sites, specifically including,
step S101A, acquiring the actual operation time and the actual geographic position of each road passenger transport authorization station, and judging whether the actual operation time is in a preset operation time interval range and whether the actual geographic position is in a preset road passenger transport network coverage area;
step S102A, if the actual operation time is in the preset operation time period range and the actual geographic position is in the preset road passenger transport network coverage area, determining the corresponding road passenger transport ticket selling station as an effective operation road passenger transport ticket selling station;
step S103A, performing communication connection and data sharing on the ticket processing terminals of all effective operation road passenger transport ticket stations, thereby constructing and forming the Internet of things network;
further, in the step S1, the obtaining of different passenger transport information about different road passenger transport ticket selling sites through the internet of things network specifically includes,
step S101B, real-time extracting relevant ticketing data from the electronic ticketing terminals of each effective operating road passenger transport ticketing station through the Internet of things, so as to obtain passenger transport quantity extraction data, passenger transport number extraction data of buses, real-load rate extraction data of buses, network ticketing rate extraction data, ticket return rate extraction data and bus flow/flow direction path information extraction data;
step S102B, performing bad point data elimination processing on the passenger transport volume extraction data, the passenger transport number extraction data, the regular traffic real-load rate extraction data, the network ticketing rate extraction data, the ticket refund rate extraction data, and the regular traffic flow/flow direction path information extraction data, so as to generate the passenger transport volume, the passenger transport number, the regular traffic real-load rate, the network ticketing rate, the ticket refund rate, and the regular traffic flow/flow direction path information;
further, in the step S2, the demand information of the current passenger transport class and bus dispatching is obtained, and the time screening processing is performed on the different passenger transport information according to the demand information, so as to obtain a passenger transport information set corresponding to the passenger transport busy time period/passenger transport non-busy time specifically includes,
step S201, determining demand information of current passenger transport regular bus dispatching according to historical passenger transport passenger flow and passenger transport destination statistical information, wherein the demand information comprises at least one of passenger transport regular bus departure destination information, passenger transport regular bus vehicle passenger volume information and passenger transport regular bus departure time interval information;
step S202, according to the demand information, when the departure destination of the passenger regular bus in the time period corresponding to the demand information is a hot destination, or the passenger number of the passenger regular bus exceeds a preset passenger number threshold, or the departure time interval of the passenger regular bus exceeds a preset departure time interval threshold, determining the corresponding time period as a passenger busy time period, otherwise, determining the corresponding time period as a passenger non-busy time period;
step S203, according to the corresponding time ranges of the passenger transport busy time period and the passenger transport non-busy time period in one day, time matching and screening processing are carried out on the different passenger transport information, and therefore a passenger transport information set corresponding to the passenger transport busy time period/the passenger transport non-busy time is obtained;
further, in the step S3, according to the passenger transport information set, the actual passenger transport bus ticketing status information of each road passenger transport ticket station is determined, and the displaying of the actual passenger transport bus ticketing status information in real time specifically includes,
step S301, determining ticket sale residual amount information, whole ticket sale expected increment information, ticket sale sequencing information of different passenger transport classes in the whole ticket sale expected increment and subsection ticket sale expected increment information of the corresponding road passenger transport ticket station according to the passenger transport information set and a preset road passenger transport ticket service analysis model to serve as the actual passenger transport class ticket selling state information;
step S302, performing rolling circulation display on the actual passenger transport regular bus ticketing state information, and performing data updating on the actual passenger transport regular bus ticketing state information according to a preset updating period;
further, in the step S301, according to the passenger transport information set and a preset road passenger transport selling site ticket business analysis model, ticket selling remaining amount information, whole ticket selling expected increment information, ticket selling ranking information of different passenger transport classes in the whole ticket selling expected increment and section ticket selling expected increment information of the corresponding road passenger transport selling site are determined to specifically include as the actual passenger transport class ticket selling state information,
step S3011, according to the network ticket selling rate and the ticket refunding rate and the following formula (1), calculating to obtain the corresponding ticket selling surplus S
In the above formula (1), S represents the remaining amount of sales of the ticket, SzRepresenting the total sale amount of the tickets, eta representing the network ticket selling rate, lambda representing the ticket refunding rate, and e representing a natural number;
step S3012, according to the ticket sale surplus S, the passenger capacity, the number of passenger buses, the actual load rate of buses, the refund rate, the network ticket selling rate and the following formula (2), calculating to obtain the expected increase Z of ticket sale
In the above formula (2), Z represents the expected increase of the ticket sales, S represents the remaining amount of the ticket sales, and S representszRepresenting total sale total amount of tickets, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of passenger vehicle shifts, representing the vehicle load rate, lambda representing the ticket refunding rate, and e representing a natural number;
step S3013, according to the following formula (3), determining the ranking value D corresponding to the expected increment Z of the whole ticket sale calculated in the step S3012a
In the above formula (3), DaThe order value of ticket sale increase corresponding to the a-th passenger transport shift needing to increase the ticket sale amount in the whole ticket sale expected increase Z is represented, a is 1, 2 and 3 … n, n is the total number of the passenger transport shifts, Z represents the ticket sale expected increase, S represents the ticket sale residual amount, andzrepresenting total saleable amount of tickets, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of times of passenger class bus, lambda representing the refund rate, and e representing a natural number;
arranging all the calculated ordering values according to an arrangement sequence from large to small so as to obtain ticket sales ordering information of different passenger transport shifts in the expected increase of the overall ticket sales;
step S3014, when the current ticket sales volume is determined to be insufficient, calculating to obtain the expected increase F of the sectional ticket sales through the following formula (4)
In the above formula (4), Z represents the expected increase of the overall ticket sales, SzRepresenting the total ticket sales amount needing to be inquired, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of times of passenger transport class vehicles, lambda representing the ticket refunding rate, eta representing the network ticketing rate, representing the actual load rate of the class vehicles, l representing the traffic/flow direction path information of the class vehicles, and e representing a natural number;
further, in the step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport regular bus ticketing status information and outputting the query result specifically includes,
when an inquiry request is received, generating an inquiry result of the number of the saleable tickets of the current passenger transport regular bus and/or the number of passenger bus shifts corresponding to the saleable tickets according to the actual ticket selling state information of the passenger transport regular bus, and outputting the inquiry result;
further, in the step S4, after outputting the query result, further comprising,
and synchronously uploading the query result to a ticket vending data cloud terminal through the Internet of things network.
Compared with the prior art, the method makes full use of the Internet of things technology to share and display the ticket selling data of different road passenger transport ticket selling sites, so that the coordination and the identity of the ticket selling adjustment of a road passenger transport system are improved, the condition of over-selling or surplus tickets of the tickets is avoided, and the passenger transport capacity of the road passenger transport system is mobilized to the maximum extent; in addition, the method can also accurately and timely update and display the adaptive query result according to the ticket query requirement of the user, and pertinently adjust the ticket selling state of each road passenger transport ticket selling station according to the actual ticket selling result obtained by query, thereby improving the ticket selling query convenience to the maximum extent.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a road passenger transport ticketing information query processing method based on the internet of things technology provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a schematic flow chart of a road passenger transport ticketing information query processing method based on the internet of things technology provided by the embodiment of the invention is shown. The road passenger transport ticketing information query processing method based on the Internet of things technology comprises the following steps:
step S1, constructing an Internet of things network about a plurality of different road passenger transport ticket selling sites, and acquiring different passenger transport information about the different road passenger transport ticket selling sites through the Internet of things network, wherein the different passenger transport information comprises passenger transport volume, passenger transport number of times of buses, full load rate of buses, network ticket selling rate, ticket refunding rate and bus flow/flow direction path information;
step S2, acquiring demand information of current passenger transport regular bus dispatching, and performing time screening processing on different passenger transport information according to the demand information, thereby acquiring a passenger transport information set corresponding to passenger transport busy time periods/passenger transport non-busy time periods;
step S3, determining the actual passenger transport bus ticketing status information of each road passenger transport ticket station according to the passenger transport information set, and displaying the actual passenger transport bus ticketing status information in real time;
and step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport regular bus ticketing state information, and outputting the query result.
The road passenger transport ticketing information query processing method based on the internet of things technology utilizes the internet of things technology to carry out ticketing data interaction and sharing on a plurality of different road passenger transport ticketing sites, so that ticket selling conditions of all the road passenger transport ticketing sites can be mastered in real time and comprehensively, thereby being convenient for overall planning and adjustment of the ticket selling conditions of passenger transport buses of different lines and classes, and meanwhile being convenient for a user to conveniently and accurately query the required ticket selling state of the passenger transport buses, so that the convenience of ticket selling query is improved to the maximum extent.
Preferably, in this step S1, a network of internet of things is constructed regarding several different road passenger ticketing sites, including in particular,
step S101A, acquiring the actual operation time and the actual geographic position of each road passenger transport authorization station, and judging whether the actual operation time is in the range of the preset operation time period and whether the actual geographic position is in the coverage area of the preset road passenger transport network;
step S102A, if the actual operation time is in the preset operation time period range and the actual geographic position is in the preset road passenger transport network coverage area, determining the corresponding road passenger transport ticket selling station as an effective operation road passenger transport ticket selling station;
step S103A, performing communication connection and data sharing on all ticket processing terminals of the effective operation road passenger transport ticket station, thereby constructing and forming the Internet of things network.
The Internet of things technology is utilized to carry out data interaction and sharing on different road passenger transport authorization stations, and corresponding big data for ticket selling can be generated, so that the comprehensiveness and accuracy of adjustment and query of the ticket selling are improved.
Preferably, in the step S1, the obtaining of the different passenger transportation information about the different road passenger transportation ticket selling sites through the internet of things network specifically includes,
step S101B, real-time extracting relevant ticketing data from the electronic ticketing terminals of each effective operating road passenger transport ticketing station through the Internet of things, so as to obtain passenger transport quantity extraction data, passenger transport number extraction data of buses, real-load rate extraction data of buses, network ticketing rate extraction data, ticket return rate extraction data and bus flow/flow direction path information extraction data;
step S102B, performing bad point data elimination processing on the passenger transportation volume extraction data, the passenger transportation number extraction data, the regular traffic load rate extraction data, the network ticketing rate extraction data, the ticket refund rate extraction data, and the regular traffic/flow direction path information extraction data, so as to generate the passenger transportation volume, the passenger transportation number, the regular traffic load rate, the network ticketing rate, the ticket refund rate, and the regular traffic/flow direction path information.
The passenger traffic volume, the times of passenger transport vehicles, the actual load rate of the vehicles, the network ticket selling rate, the ticket refunding rate and the flow rate/flow direction path information of the vehicles on different road passenger transport ticket selling sites are obtained, comprehensiveness of mastering the passenger transport ticket selling state and the running state of the passenger transport vehicles can be improved, and therefore effectiveness and reliability of subsequent data processing are improved.
Preferably, in the step S2, the demand information of the current passenger transport class and bus dispatching is obtained, and according to the demand information, the time screening processing is performed on the different passenger transport information, so that the passenger transport information set corresponding to the passenger transport busy time period/passenger transport non-busy time specifically includes,
step S201, determining demand information of current passenger transport regular bus dispatching according to historical passenger transport passenger flow and passenger transport destination statistical information, wherein the demand information comprises at least one of passenger transport regular bus departure destination information, passenger transport regular bus vehicle passenger volume information and passenger transport regular bus departure time interval information;
step S202, according to the demand information, when the departure destination of the passenger transport regular bus in the time period corresponding to the demand information is a hot destination, or the passenger transport regular bus has the passenger carrying capacity exceeding a preset passenger carrying capacity threshold value, or the passenger transport regular bus has the departure time interval exceeding a preset departure time interval threshold value, determining the corresponding time period as a passenger transport busy time period, otherwise, determining the corresponding time period as a passenger transport non-busy time period;
and step S203, according to the corresponding time ranges of the passenger transport busy time interval and the passenger transport non-busy time interval in one day, carrying out time matching screening processing on different passenger transport information, and thus obtaining a passenger transport information set corresponding to the passenger transport busy time interval/the passenger transport non-busy time.
By carrying out distinguishing and screening on the passenger transport information in the passenger transport busy time period and the passenger transport non-busy time period, corresponding ticket selling adjustment can be carried out on different passenger transport buses in the same day time in a targeted manner, so that the flexibility of ticket selling adjustment is improved.
Preferably, in the step S3, the actual passenger transport bus ticketing status information of each road passenger transport ticket station is determined according to the passenger transport information set, and the displaying of the actual passenger transport bus ticketing status information in real time specifically includes,
step S301, determining ticket sale residual amount information, whole ticket sale expected increment information, ticket sale sequencing information of different passenger transport classes in the whole ticket sale expected increment and subsection ticket sale expected increment information of the corresponding road passenger transport ticket station according to the passenger transport information set and a preset road passenger transport ticket service analysis model to serve as the actual passenger transport class ticket selling state information;
and step S302, performing rolling circulation display on the actual passenger transport regular bus ticketing state information, and performing data updating on the actual passenger transport regular bus ticketing state information according to a preset updating period.
The actual passenger transport regular bus ticketing state information is displayed in a rolling circulation mode, and data updating is carried out on the actual passenger transport regular bus ticketing state information according to a preset updating period, so that a user can be ensured to timely and conveniently obtain the dynamic change condition of passenger transport regular bus operation.
Preferably, in step S301, according to the passenger transport information set and a preset road passenger transport selling station ticket business analysis model, determining ticket selling remaining amount information, whole ticket selling expected increase information, ticket selling ranking information of different passenger transport classes in the whole ticket selling expected increase and section ticket selling expected increase information of the corresponding road passenger transport selling station, to specifically include as the actual passenger transport class ticket selling state information,
step S3011, according to the network ticket selling rate and the refund rate and the following formula (1), calculating to obtain the corresponding ticket selling residual quantity S
In the above formula (1), S represents the remaining sales amount of the ticket, SzRepresenting the total sale amount of the tickets, eta representing the network ticket selling rate, lambda representing the ticket refunding rate, and e representing a natural number;
step S3012, according to the ticket sale residual quantity S, the passenger volume, the number of passenger buses, the actual load rate of buses, the refund rate, the network ticket selling rate and the following formula (2), calculating to obtain the expected increase Z of ticket sale
In the above formula (2), Z represents the expected increase of the ticket sales, S represents the remaining amount of the ticket sales, and SzRepresenting the total sale amount of the tickets, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of times of the passenger transport class, representing the actual load rate of the class, lambda representing the ticket refunding rate, and e representing a natural number;
step S3013, determining a ranking value D corresponding to the expected increase Z of the overall ticket sales calculated in step S3012 according to the following formula (3)a
In the above formula (3), DaThe order value of the ticket sale increase corresponding to the a-th passenger transport shift needing to increase the ticket sale amount in the whole ticket sale expected increase Z is shown, a is 1, 2 and 3 … n, n is the total number of the passenger transport shifts, Z is the ticket sale expected increase, S is the ticket sale residual amount, andzrepresenting the total sale amount of the tickets, eta representing the network ticket selling rate, K representing the passenger traffic, b representing the number of the passenger buses, lambda representing the ticket refunding rate, and e representing a natural number;
arranging all the calculated ordering values according to an arrangement sequence from large to small so as to obtain ticket sales ordering information of different passenger transport shifts in the expected increase of the overall ticket sales;
step S3014, when the current ticket sales volume is determined to be insufficient, calculating to obtain the expected increase F of the sectional ticket sales through the following formula (4)
In the above formula (4), Z represents the expected increase of the overall ticket sales, SzThe system comprises a passenger transport management system, a ticket selling system, a network ticketing rate display system, a passenger transport management system, a ticket returning system, a ticket selling system, a network ticketing rate display system, a passenger transport management system, a ticket returning system, a network ticketing rate display system, a passenger transport management system, a ticket returning system, a passenger transport management system, a passenger.
The method comprises the steps of calculating and obtaining ticket sale surplus information, whole ticket sale expected increase information, ticket sale sequencing information of different passenger transport classes in the whole ticket sale expected increase and subsection ticket sale expected increase information of the road passenger transport ticket sale station through an algorithm corresponding to the preset road passenger transport station ticket business analysis model, ensuring the accuracy and reliability of the calculation of the four information, and effectively predicting the sale state of the tickets to adjust the adaptability, so that the situations of ticket over sale or ticket surplus are avoided, and the ticket sale efficiency is improved to the maximum extent.
Preferably, in step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport regular bus ticketing status information, and outputting the query result specifically includes:
when a remaining ticket query request of a target passenger transport regular bus is received, generating the number of tickets sold by the current passenger transport regular bus according to the actual ticket selling state information of the passenger transport regular bus, and outputting the number of tickets sold by the current passenger transport regular bus;
and when receiving an inquiry request about the number of passenger car shifts corresponding to the current saleable tickets, generating and outputting the number of passenger car shifts corresponding to the current saleable tickets according to the actual passenger car ticketing state information.
By outputting and displaying the query result of the number of the available tickets of the current passenger bus and/or the number of bus shifts corresponding to the available tickets on the preset query device, the corresponding ticket selling query information can be timely, accurately and comprehensively obtained when the passenger buys the tickets, and the convenience of ticket buying of the passenger is improved to the maximum extent.
Preferably, in step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport regular bus ticketing status information, and outputting the query result specifically includes:
when a ticket selling state information inquiry request about a target passenger transport regular bus is received, ticket selling state information of the target passenger transport regular bus is extracted from the actual passenger transport regular bus ticket selling state information and is output. Therefore, an inquirer (the inquirer can be a passenger or a manager of the target passenger transport bus) can conveniently obtain the ticket selling state of the passenger transport bus, and the manager of the passenger transport bus can conveniently manage the dispatching, the allocation and the like of the passenger transport bus.
Preferably, in the step S4, after outputting the query result, further comprising,
and synchronously uploading the query result to a ticket vending data cloud terminal through the Internet of things network.
The inquiry result is synchronously uploaded by the Internet of things network, so that the overall ticket sales strategy can be conveniently updated, the passenger ticket sales reliability is further improved, and the transport capacity of the passenger buses is fully utilized.
From the content of the embodiment, the road passenger transport ticketing information query processing method based on the internet of things technology fully utilizes the internet of things technology to share and display ticket vending data of different road passenger transport ticketing sites, so that the coordination and the identity of the ticket vending adjustment of a road passenger transport system are improved, and the situations of ticket overscale or ticket surplus are avoided, and the passenger transport capacity of the road passenger transport system is furthest mobilized; in addition, the method can also accurately and timely update and display the adaptive query result according to the ticket query requirement of the user, and pertinently adjust the ticket selling state of each road passenger transport ticket selling station according to the actual ticket selling result obtained by query, thereby improving the ticket selling query convenience to the maximum extent.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. The road passenger transport ticketing information query processing method based on the Internet of things technology is characterized by comprising the following steps:
step S1, constructing an Internet of things network about a plurality of different road passenger transport ticket selling sites, and acquiring different passenger transport information about the different road passenger transport ticket selling sites through the Internet of things network, wherein the different passenger transport information comprises passenger transport volume, passenger transport number of times of buses, full load rate of buses, network ticket selling rate, ticket refunding rate and bus flow/flow direction path information;
step S2, acquiring demand information of current passenger transport regular bus dispatching, and performing time screening processing on the different passenger transport information according to the demand information, thereby acquiring a passenger transport information set corresponding to passenger transport busy time periods/passenger transport non-busy time periods;
step S3, determining the actual passenger transport bus ticketing status information of each road passenger transport ticket station according to the passenger transport information set, and displaying the actual passenger transport bus ticketing status information in real time;
and step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport regular bus ticketing state information, and outputting the query result.
2. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 1, characterized in that:
in the step S1, a network of internet of things is constructed for several different road passenger transport ticket selling sites, specifically including,
step S101A, acquiring the actual operation time and the actual geographic position of each road passenger transport authorization station, and judging whether the actual operation time is in a preset operation time interval range and whether the actual geographic position is in a preset road passenger transport network coverage area;
step S102A, if the actual operation time is in the preset operation time period range and the actual geographic position is in the preset road passenger transport network coverage area, determining the corresponding road passenger transport ticket selling station as an effective operation road passenger transport ticket selling station;
step S103A, performing communication connection and data sharing on all ticket processing terminals of the effective operation road passenger transport ticket station, thereby constructing and forming the Internet of things network.
3. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 2, characterized in that:
in the step S1, the obtaining of different passenger transport information about different road passenger transport ticket selling sites through the internet of things network specifically includes,
step S101B, real-time extracting relevant ticketing data from the electronic ticketing terminals of each effective operating road passenger transport ticketing station through the Internet of things, so as to obtain passenger transport quantity extraction data, passenger transport number extraction data of buses, real-load rate extraction data of buses, network ticketing rate extraction data, ticket return rate extraction data and bus flow/flow direction path information extraction data;
step S102B, performing bad point data elimination processing on the passenger transport volume extraction data, the passenger transport number extraction data, the regular traffic real-load rate extraction data, the network ticketing rate extraction data, the ticket refund rate extraction data, and the regular traffic flow/flow direction path information extraction data, so as to generate the passenger transport volume, the passenger transport number, the regular traffic real-load rate, the network ticketing rate, the ticket refund rate, and the regular traffic flow/flow direction path information.
4. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 1, characterized in that:
in the step S2, the demand information of the current passenger transport class and bus dispatching is obtained, and the time screening processing is performed on the different passenger transport information according to the demand information, so as to obtain a passenger transport information set corresponding to the passenger transport busy time period/passenger transport non-busy time specifically includes,
step S201, determining demand information of current passenger transport regular bus dispatching according to historical passenger transport passenger flow and passenger transport destination statistical information, wherein the demand information comprises at least one of passenger transport regular bus departure destination information, passenger transport regular bus vehicle passenger volume information and passenger transport regular bus departure time interval information;
step S202, according to the demand information, when the departure destination of the passenger regular bus in the time period corresponding to the demand information is a hot destination, or the passenger number of the passenger regular bus exceeds a preset passenger number threshold, or the departure time interval of the passenger regular bus exceeds a preset departure time interval threshold, determining the corresponding time period as a passenger busy time period, otherwise, determining the corresponding time period as a passenger non-busy time period;
and S203, performing time matching screening processing on the different passenger transport information according to the corresponding time ranges of the passenger transport busy time period and the passenger transport non-busy time period in one day, so as to obtain a passenger transport information set corresponding to the passenger transport busy time period/the passenger transport non-busy time.
5. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 1, characterized in that:
in step S3, according to the passenger transport information set, determining the actual passenger transport bus ticketing status information of each road passenger transport ticket station, and displaying the actual passenger transport bus ticketing status information in real time specifically includes,
step S301, determining ticket sale residual amount information, whole ticket sale expected increment information, ticket sale sequencing information of different passenger transport classes in the whole ticket sale expected increment and subsection ticket sale expected increment information of the corresponding road passenger transport ticket station according to the passenger transport information set and a preset road passenger transport ticket service analysis model to serve as the actual passenger transport class ticket selling state information;
and step S302, performing rolling circulation display on the actual passenger transport regular bus ticketing state information, and performing data updating on the actual passenger transport regular bus ticketing state information according to a preset updating period.
6. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 5, characterized in that:
in step S301, according to the passenger transport information set and a preset road passenger transport selling site ticket business analysis model, determining ticket selling remaining amount information, whole ticket selling expected increment information, ticket selling ranking information of different passenger transport classes in the whole ticket selling expected increment and section ticket selling expected increment information of the corresponding road passenger transport selling site to specifically include as the actual passenger transport class ticket selling state information,
step S3011, according to the network ticket selling rate and the ticket refunding rate and the following formula (1), calculating to obtain the corresponding ticket selling surplus S
In the above formula (1), S represents the remaining amount of sales of the ticket, SzRepresenting the total sale amount of the tickets, eta representing the network ticket selling rate, lambda representing the ticket refunding rate, and e representing a natural number;
step S3012, according to the ticket sale surplus S, the passenger capacity, the number of passenger buses, the actual load rate of buses, the refund rate, the network ticket selling rate and the following formula (2), calculating to obtain the expected increase Z of ticket sale
In the above formula (2), Z represents the expected increase of the ticket sales, and S represents the ticket salesRemaining amount of ticket sale SzRepresenting total sale total amount of tickets, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of passenger vehicle shifts, representing the vehicle load rate, lambda representing the ticket refunding rate, and e representing a natural number;
step S3013, according to the following formula (3), determining the ranking value D corresponding to the expected increment Z of the whole ticket sale calculated in the step S3012a
In the above formula (3), DaThe order value of ticket sale increase corresponding to the a-th passenger transport shift needing to increase the ticket sale amount in the whole ticket sale expected increase Z is represented, a is 1, 2 and 3 … n, n is the total number of the passenger transport shifts, Z represents the ticket sale expected increase, S represents the ticket sale residual amount, andzrepresenting total saleable amount of tickets, eta representing the network ticketing rate, K representing the passenger traffic, b representing the number of times of passenger class bus, lambda representing the refund rate, and e representing a natural number;
arranging all the calculated ordering values according to an arrangement sequence from large to small so as to obtain ticket sales ordering information of different passenger transport shifts in the expected increase of the overall ticket sales;
step S3014, when the current ticket sales volume is determined to be insufficient, calculating to obtain the expected increase F of the sectional ticket sales through the following formula (4)
In the above formula (4), Z represents the expected increase of the overall ticket sales, SzRepresenting the total ticket sale amount needing to be inquired, eta representing the network ticket selling rate, K representing the passenger traffic, b representing the number of passenger class cars, lambda representing the ticket refunding rate, eta representing the network ticket selling rate and representing the class ticket selling rateAnd the real-load rate of the vehicle, i represents the flow rate/flow direction path information of the regular bus, and e represents a natural number.
7. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 1, characterized in that:
in step S4, when receiving the query request, generating a query result corresponding to the query request according to the actual passenger transport airliner ticketing status information and outputting the query result specifically includes,
and when an inquiry request is received, generating an inquiry result of the number of the saleable tickets of the current passenger transport regular bus and/or the number of passenger bus shifts corresponding to the saleable tickets according to the actual ticket selling state information of the passenger transport regular bus, and outputting the inquiry result.
8. The road passenger transport ticketing information query processing method based on the internet of things technology as claimed in claim 7, characterized in that:
in step S4, after outputting the query result, further comprising,
and synchronously uploading the query result to a ticket vending data cloud terminal through the Internet of things network.
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| CN102202088A (en) * | 2011-04-26 | 2011-09-28 | 崔山 | Dynamic information interactor for Internet of things |
| CN202267989U (en) * | 2011-08-05 | 2012-06-06 | 天津开发区晟泰科技开发有限公司 | Passenger transportation management system |
| CN111047494A (en) * | 2019-11-30 | 2020-04-21 | 李宝勇 | Intelligent comprehensive service management system for passenger station |
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| CN102202088A (en) * | 2011-04-26 | 2011-09-28 | 崔山 | Dynamic information interactor for Internet of things |
| CN202267989U (en) * | 2011-08-05 | 2012-06-06 | 天津开发区晟泰科技开发有限公司 | Passenger transportation management system |
| CN111047494A (en) * | 2019-11-30 | 2020-04-21 | 李宝勇 | Intelligent comprehensive service management system for passenger station |
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