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A network based dynamic air traffic flow model for en route airspace system traffic flow optimization

Author

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  • Chen, Dan
  • Hu, Minghua
  • Zhang, Honghai
  • Yin, Jianan
  • Han, Ke

Abstract

This study proposes a mesoscopic dynamic air traffic model based on a dynamic network for en route airspaces by characterizing the dynamics and distribution of traffic speed. Based on this model, we solve a flow optimization problem for enforcing capacity constraints with the minimum operational cost using a dual decomposition method. A case study of an en route airspace in Shanghai demonstrates the accuracy of the proposed model in successfully capturing the flow dynamics, as well as the effectiveness of the proposed optimization framework to reduce en route delays by balancing the dynamic traffic demand and airspace capacity.

Suggested Citation

  • Chen, Dan & Hu, Minghua & Zhang, Honghai & Yin, Jianan & Han, Ke, 2017. "A network based dynamic air traffic flow model for en route airspace system traffic flow optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 1-19.
    • Handle: RePEc:eee:transe:v:106:y:2017:i:c:p:1-19
    DOI: 10.1016/j.tre.2017.07.009
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    References listed on IDEAS

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    Cited by:

    1. Yan, Zhen & Yang, Hongyu & Wu, Yuankai & Lin, Yi, 2023. "A multi-view attention-based spatial–temporal network for airport arrival flow prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    2. Jiang, Yu & Xue, Qingwen & Wang, Yasha & Cai, Mengting & Zhang, Honghai & Li, Yahui, 2021. "Traffic congestion mechanism in mega-airport surface," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
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    4. Chen, Yunxiang & Zhao, Yifei & Wu, Yexin, 2024. "Recent progress in air traffic flow management: A review," Journal of Air Transport Management, Elsevier, vol. 116(C).

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