You can view the full text of this article for free using the link below.

Title: Research on self-driving tour path planning method based on collaborative edge computing

Authors: Zhongbin Wang

Addresses: Tibet Agriculture and Animal Husbandry University, Nyingchi 860000, China

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%.

Keywords: collaborative edge computing; self-driving tour; abnormal data; mapping relationship; objective function.

DOI: 10.1504/IJICT.2023.127674

International Journal of Information and Communication Technology, 2023 Vol.22 No.1, pp.89 - 104

Received: 22 Jul 2020
Accepted: 17 Jan 2021

Published online: 14 Dec 2022 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article