Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach

作者：

Highlights：

• Identifying the critical factor and subfactors imperative to drone performance.

• Proposing Bayesian Network (BN) that would assess the drone performance.

• Performing advanced analysis to gain a deeper understanding of the model's result.

• Demonstrate efficacy of BN in domain of transportation engineering.

摘要

•Identifying the critical factor and subfactors imperative to drone performance.•Proposing Bayesian Network (BN) that would assess the drone performance.•Performing advanced analysis to gain a deeper understanding of the model's result.•Demonstrate efficacy of BN in domain of transportation engineering.

论文关键词：Drone,Transportation,Logistics,Bayesian network,Drone performance,Probabilistic approach

论文评审过程：Received 17 April 2022, Revised 28 June 2022, Accepted 25 July 2022, Available online 29 July 2022, Version of Record 5 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118301