Adaptive conflict resolution for multi-UAV 4D routes optimization using stochastic fractal search algorithm

Transportation Research Part C: Emerging Technologies（2022）

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摘要

•An adaptive conflict resolution framework is proposed for UAV 4D route optimization.•The optimization problem is developed as a mixed-integer nonlinear programming model.•An improved stochastic fractal search algorithm is employed to solve the MINLP model.•Strategies of scheduling, speed adjustment, and rerouting are used for conflict resolution.•The model and algorithm are tested in simulation studies with sensitivity analysis.

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关键词

Unmanned aircraft system,Conflict resolution,Mixed-integer nonlinear programming,Third-party risk,Urban environments

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