Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (3): 778-790.doi: 10.23919/JSEE.2025.000070

• SYSTEMS ENGINEERING • Previous Articles    

Modeling optimal air traffic rights resource allocation

Zhishuo LIU1(), Yi’nan CHENG1(), Yanhua LI1,*(), Danyang SHEN2()   

  1. 1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100091, China
    2 School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2023-08-04 Online:2025-06-18 Published:2025-07-10
  • Contact: Yanhua LI E-mail:zhsliu@bjtu.edu.cn;chengyinan@bjtu.edu.cn;yh.li@bjtu.edu.cn;dyshen@cauc.edu.cn
  • About author:
    LIU Zhishuo was born in 1977. He received his Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2004. He is an associate professor in Beijing Jiaotong University, China. His research interest is airport planning and operational optimization. E-mail: zhsliu@bjtu.edu.cn

    CHENG Yi’nan was born in 1998. He received his B.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2020. He is pursuing his M.S. degree from Beijing Jiaotong University, Beijing, China. His research interest is airport planning and operational optimization. E-mail: chengyinan@bjtu.edu.cn

    LI Yanhua was born in 1969. She received her Ph.D. degree from Tianjin University, Tianjing, China, in 2007. She is a professor in Beijing Jiaotong University, China. Her research interests are air transport planning and management, and air transport economic research. E-mail: yh.li@bjtu.edu.cn

    SHEN Danyang was born in 1983. She received her Ph.D. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2019. She is a professor in Civil Aviation University of China. Her research interest is air transport planning and management. E-mail: dyshen@cauc.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China and the Civil Aviation Administration of China (U2333206).

Abstract:

International freedom of the air (traffic rights) is a key resource for airlines to carry out international air transport business. An efficient and reasonable traffic right resource allocation within a country between airlines can affect the quality of a country’s participation in international air transport. In this paper, a multi-objective mixed-integer programming model for traffic rights resource allocation is developed to minimize passenger travel mileages and maximize the number of traffic rights resources allocated to hub airports and competitive carriers. A hybrid heuristic algorithm combining the genetic algorithm and the variable neighborhood search is devised to solve the model. The results show that the optimal allocation scheme aligns with the principle of fairness, indicating that the proposed model can play a certain guiding role in and provide an innovative perspective on traffic rights resource allocation in various countries.

Key words: air transport, air traffic right (ATR), genetic algorithm, variable neighborhood search, mixed integer programming formulation