文章基本信息

标题：An MEC Architecture-Oriented Improved RRT Algorithm for Regional Trajectory Planning
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作者：Qingwen Han ; Ziyun Huang ; Lingqiu Zeng 等
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2021
卷号：2021
页码：1-13
DOI：10.1155/2021/6689293
出版社：Hindawi Publishing Corporation
摘要：Multi-access Edge Computing (MEC), which could provide real-time computing ability, is considered as an effective approach to improve performance of Vehicular Ad Hoc Network (VANET). MEC could process regional vehicles information and generate real-time road hazard features, which could be used to realize trajectory planning progress of vehicles. In this paper, an MEC-oriented VANET infrastructure is presented, and a road hazard feature-based trajectory planning method is proposed. Back Propagation (BP) neural network is employed to predict road hazard feature changing, while a hazard-based cost function is defined. Then, an improved Rapidly Exploring Random Tree (RRT) algorithm is proposed for novel regional trajectory planning. A joint simulation is done based on SUMO and NS3 platforms. Simulation results verify the effectiveness and stability of the proposed algorithm.