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- W4311802356 abstract "In order to overcome the problem of inaccurate results of traditional self-driving path planning methods, a new self-driving path planning method based on collaborative edge computing is designed and proposed. In this method, collaborative edge computing method is used to remove the abnormal data and improve the accuracy of path planning. From the point of view of optimising network performance, the objective function of network channel capacity of candidate path and the multi-objective optimisation model of path selection problem are established. Finally, the Nash negotiation axiom in game theory is combined to solve the multi-objective optimisation model to realise the self-driving travel path planning. Experimental results show that the proposed method can effectively remove abnormal data, the highest removal rate is 99.74%, and the planning efficiency is above 96%." @default.
- W4311802356 created "2022-12-28" @default.
- W4311802356 creator A5062722227 @default.
- W4311802356 date "2023-01-01" @default.
- W4311802356 modified "2023-09-27" @default.
- W4311802356 title "Research on self-driving tour path planning method based on collaborative edge computing" @default.
- W4311802356 doi "https://doi.org/10.1504/ijict.2023.127674" @default.
- W4311802356 hasPublicationYear "2023" @default.
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