Research on intelligent scheduling optimization of unmanned tower based on genetic algorithm

Haocheng Li; Di Shen

doi:10.1117/12.3051619

20 January 2025 Research on intelligent scheduling optimization of unmanned tower based on genetic algorithm

Haocheng Li, Di Shen

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220C (2025) https://doi.org/10.1117/12.3051619
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

In order to improve the efficiency and safety of airport unmanned tower scheduling system, genetic algorithm is used to design and optimize the intelligent scheduling system, integrating advanced sensors and data processing technology to achieve efficient management of airport ground traffic. The results show that the system can effectively reduce the total scheduling time and conflict rate, improve the execution efficiency of scheduling strategies, and demonstrate excellent environmental adaptability and reliability.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haocheng Li and Di Shen "Research on intelligent scheduling optimization of unmanned tower based on genetic algorithm", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220C (20 January 2025); https://doi.org/10.1117/12.3051619

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