Article: Optimisation analysis of unmanned coordination path considering line crossing and various disturbance factors Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.68 pp.1 - 26 Abstract: This study addresses the limitations of existing UAV logistics research, which often neglects communication instability and multiple disturbances in real-time path planning. The objective is to optimise coordinated UAV paths by considering line crossing and multifactorial disruptions to improve delivery efficiency and system robustness. The methodology enhances a simulated annealing algorithm with a sub-path local search operator, integrated with a communication sensing strategy and energy consumption model. Results from six test cases show the improved algorithm reduces average distance by 3.13-5.41%, computation time by 13.6-17.6%, and boosts path quality by 11.5% in communication-hostile settings. The algorithm effectively manages disturbances like wind, obstacles, and demand changes, enhancing stability and adaptability. This research offers a novel co-optimisation method for UAV coordination, balancing communication and energy efficiency, with significant practical value for urban delivery systems. Inderscience Publishers - linking academia, business and industry through research

Title: Optimisation analysis of unmanned coordination path considering line crossing and various disturbance factors

Authors: Zongchao Wei; Jing Wen

Addresses: School of International Education, Yellow River Conservancy Technical University, Kaifeng, 475004, China ' School of Business and Management, Yellow River Conservancy Technical University, Kaifeng, 475004, China

Abstract: This study addresses the limitations of existing UAV logistics research, which often neglects communication instability and multiple disturbances in real-time path planning. The objective is to optimise coordinated UAV paths by considering line crossing and multifactorial disruptions to improve delivery efficiency and system robustness. The methodology enhances a simulated annealing algorithm with a sub-path local search operator, integrated with a communication sensing strategy and energy consumption model. Results from six test cases show the improved algorithm reduces average distance by 3.13-5.41%, computation time by 13.6-17.6%, and boosts path quality by 11.5% in communication-hostile settings. The algorithm effectively manages disturbances like wind, obstacles, and demand changes, enhancing stability and adaptability. This research offers a novel co-optimisation method for UAV coordination, balancing communication and energy efficiency, with significant practical value for urban delivery systems.

Keywords: terminal logistics; route planning; cruising range; simulated annealing algorithm.

DOI: 10.1504/IJICT.2026.154348

International Journal of Information and Communication Technology, 2026 Vol.27 No.68, pp.1 - 26

Received: 27 Oct 2025
Accepted: 16 Jan 2026
Published online: 23 Jun 2026 *

Title: Optimisation analysis of unmanned coordination path considering line crossing and various disturbance factors

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