Short-term maintenance planning of autonomous trucks for minimizing economic risk

New autonomous driving technologies are emerging every day and some of them have been commercially applied in the real world. While benefiting from these technologies, trucks facing new challenges short-term maintenance planning, which directly influences truck operator's profit. In this paper, we implement a vehicle health management system by addressing planning issues on transport mission. We also present model using risk-based decision-making method, identifies decision with minimal economic risk company. Both availability losses costs considered when evaluating risk. demonstrate proposed numerical experiments illustrating real-world scenarios. experiments, compared to three baseline methods, expected method is reduced up $47\%$. conduct sensitivity analyses different parameters. The show that significantly decreases estimation accuracy remaining useful life, maximal allowed time delivery delay before order cancellation, or number workshops increases. experiment results contribute identifying future research development attentions an perspective.