## 5 Methodology
### Max-Min Fairness Oriented Offloading Approach
The algorithms favor choosing vehicles that have a small amount of resources and ask for low prices to be the final service vehicles, thus utilizing the idle resources on vehicles sufficiently. Simulation results show that the proposed approach achieves good performance in the completion delay and resource utility with an acceptable service cost. The proposed approach considers single-hop cooperation among vehicles for completing the computation task. When the task is extremely large or vehicles running within the communication range of a UV are sparse, the task may not be accomplished successfully. An interesting future research direction for this work is to employ a multi-hop collaborative computation offloading mechanism for enhancing the system adaptability for a wide range of task sizes and time-varying densities of vehicles in the network. Conceptualization, S.W. ; Data curation, H.P. ; Funding acquisition, S.W. ; Investigation, D.G. ; Methodology, S.W. ; Software, H.P. ; Writing--original draft, S.W. and H.P. ; Writing--review & editing, D.G. All authors have read and agreed to the published version of the manuscript. This work was supported in part by the National Natural Science Foundation of China (Grant No. 61962032, 61561029), Yunnan Ten Thousand Talents Plan Young & Elite Talents Project, and Yunnan Province Fund for Excellent Young Scholars (Grant No. 202001 AW070003). Not applicable. The authors declare no conflict of interest. ## References

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