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Air ticket order credibility evaluation method and device

An evaluation method and reliability technology, applied in the field of civil aviation data processing, can solve problems such as low flight occupancy, loss of civil aviation revenue, real-time orders are not well monitored and identified, and achieve the effect of monitoring and forecasting

Active Publication Date: 2021-05-11
TRAVELSKY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Air ticket agents take advantage of loopholes in the booking system to falsely occupy seats to create the illusion that passengers are already fully booked and sell seats to specific passengers, which seriously affects the economic interests of passengers, and at the same time leads to low flight occupancy, which affects the revenue of civil aviation. Significant losses, more seriously disrupting the air ticket sales market
Agents do not need real passenger names and ID numbers when booking tickets, and the booking system does not monitor and identify real-time orders very well, so agents can arbitrarily occupy false seats

Method used

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  • Air ticket order credibility evaluation method and device
  • Air ticket order credibility evaluation method and device
  • Air ticket order credibility evaluation method and device

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Experimental program
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Effect test

Embodiment 1

[0130] refer to Figure 3 to Figure 5 In this preferred embodiment one, a method for evaluating the credibility of an air ticket order based on the entropy weight method and AHP is provided, including:

[0131] Step 1: Perform data preprocessing on the historical order data, obtain the passenger's historical order data according to the passenger's ID number, and calculate the passenger ticket issuance rate v according to the order status 1 and travel rate v 2 , to generate a linked list of passengers, the linked list information includes the passenger ID number, the number of historical bookings, the ticketing rate, and the travel rate.

[0132] Obtain all historical order data of the agent according to the same agent number, and calculate the order cancellation rate of the agent v 3 and the return rate v 4 , to generate a linked list of agents, and the linked list information includes the agent number, the number of historical bookings, the rate of canceled orders, and the...

Embodiment 2

[0169] In this preferred embodiment two, an order credibility evaluation method based on entropy weight method and AHP is provided, refer to image 3 and Figure 4 , the method includes the following steps:

[0170] Step 1: Perform data preprocessing on the order data within two years, obtain passenger historical order data according to the passenger ID number, calculate the number of bookings, ticketing rate, and travel rate of each passenger within two years, and generate a passenger list, as shown in Table 4 .

[0171]

[0172] Table 4 Passenger linked list

[0173] id ID number (encrypted) Total bookings Voting rate v 1

trip rate v 2

1 43060219600711**** 12 0.833 0.9 2 11010119021116**** 8 0.5 0.75 ...

[0174] Obtain the agent's order data within two years according to the agent number, calculate the number of historical bookings of each agent, cancel the order rate, and return the ticket rate, and generate t...

Embodiment 3

[0198] Such as image 3 As shown, in this preferred embodiment three, a system for implementing the method described in embodiment one is provided, which includes:

[0199] A data preprocessing module for processing historical order data. The processed data includes: Passenger linked list (passenger ID number, historical booking times, ticket issuance rate, travel rate, integrity score), agent linked list (agent number, Historical booking times, order cancellation rate, refund rate, integrity score).

[0200] The order credibility calculation module obtains the corresponding passenger ID number, agency number, flight departure time, booking time, and fare level based on the real-time order information, calculates the fare level score and time urgency score, and preprocesses the Passenger and agent integrity scores are obtained from the passenger and agent linked list obtained by the module.

[0201] According to the final non-zero number of passenger integrity, agent integri...

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Abstract

The invention provides a method and device for evaluating the credibility of an airline ticket order. Wherein, the method includes: obtaining historical order data from the order database of the TravelSky system; generating a credibility evaluation index according to the historical order data, wherein the credibility evaluation index includes at least one of the following: passenger integrity index, Integrity indicators of agents, credibility indicators of ticket issuance in different cabin classes, and credibility indicators of ticket issuance in different time intervals from booking time to departure time; adopt hierarchical analysis method to determine the weight coefficient of credibility evaluation indicators; The credibility evaluation index and the weight coefficient of the credibility evaluation index calculate the order credibility score of the real-time order; store the order credibility score in the database. The invention solves the technical problem that false orders in real-time orders are difficult to monitor and identify, and realizes the monitoring and prediction of false orders in real-time orders.

Description

technical field [0001] The invention relates to the field of civil aviation data processing, in particular to a method and device for evaluating the credibility of an air ticket order. Background technique [0002] Terminology Explanation [0003] Passenger Name Record (PNR for short): The airline ticket sales system manages passenger seat reservation and ticket issuance in the form of PNR. [0004] Air ticket agents take advantage of loopholes in the booking system to falsely occupy seats to create the illusion that passengers are already fully booked and sell seats to specific passengers, which seriously affects the economic interests of passengers, and at the same time leads to low flight occupancy, which affects the revenue of civil aviation. Heavy losses, more seriously disrupted the ticket sales market. Agents do not need real passenger names and ID numbers when booking tickets, and the booking system does not monitor and identify real-time orders well, so agents can...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/00G06Q20/38G06Q30/06G06Q50/30
CPCG06Q20/382G06Q30/0185G06Q30/0635G06Q50/40
Inventor 曾进进林彤丁建立刘晓庆于佳子郜美华余真真高宁宁
Owner TRAVELSKY
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