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There exist problems such as long-time queuing, long-distance walking and complex process in traditional on-boarding mode, which cause longer time-consuming and lower competitiveness of civil aviation transportation. Aiming at this problem, Go-ahead Check-in mode and resource optimization allocation plan were proposed in order to effectively shorten on-boarding time. Firstly, the ‘put one equipment but carried more passengers’ target optimization model was established in the terminal for the purpose of putting minimum of the equipment quantity and shortening passengers’ onboarding time. Regarding uncertainty of each passenger’s on-boarding time, the volatility factor was introduced to improve the target optimization mode adaptability. Secondly, the improved NSGA-II algorithm was employed to solve the model and get the resource allocation plan in Go-ahead Check-in model. Finally, according to the analysis on the passengers’ departure data in a certain airport terminal and considering three conditions including low, medium, and high passenger flow, the average on-boarding time in the Go-ahead Check-in model has been respectively reduced by 23.80%, 7.34%, and 7.17% compared with the traditional mode. The result shows that the comprehensive performance index of the algorithm is improved.
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