A Route Planning Method for UAV Swarm Inspection of Roads Fusing Distributed Droneport Site Selection

Author:

Zhong Yingchun1,Ye Shenwen1,Liu Yizhou2,Li Jingwen2ORCID

Affiliation:

1. Automation School, Guangdong University of Technology, Guangzhou 510006, China

2. Department of Computer Science, Sichuan Normal University, Chengdu 610101, China

Abstract

Current methods that use Unmanned Aerial Vehicle (UAV) swarms to inspect roads still have many limitations in practical applications, such as the lack of or difficulty in the route planning, the unbalanced utilization rate of the UAV swarm and the difficulty of the site selection for the distributed droneports. To solve the limitations, firstly, we construct the inspection map and remove the redundant information irrelevant to the road inspection. Secondly, we formulate both the route planning problem and the droneport site selection problem in a unified multi-objective optimization model. Thirdly, we redesign the encoding strategy, the updating rules and the decoding strategy of the particle swarm optimization method to effectively solve both the route planning problem and the droneport site selection problem. Finally, we introduce the comprehensive evaluation indicators to verify the effectiveness of the route planning and the droneport site selection. The experimental results show that (1) with the proposed method, the overlapped part of the optimized inspection routes is less than 7% of the total mileage, and the balanced utilization rate of the UAVs is above 75%; (2) the reuse rate of the distributed droneports is significantly improved after optimization; and (3) the proposed method outperforms the ant colony optimization (ACO) method in all evaluation indicators. To this end, the proposed method can effectively plan the inspection routes, balance the utilization of the UAVs and select the sites for the distributed droneports, which has great significance for a fully autonomous UAV swarm inspection system for road inspection.

Funder

Key projects of Guangzhou Science and technology plan, Guangdong Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference22 articles.

1. An approach for the automated extraction of road surface distress from a UAV-derived point cloud;Zeybek;Autom. Constr.,2021

2. Attoh-Okine, N., and Adarkwa, O. (2013). Pavement Condition Surveys–Overview of Current Practices, Delaware Center for Transportation, University of Delaware.

3. Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV);Saad;Measurement,2019

4. Energy aware data collection with route planning for 6G enabled UAV communication;Obayya;Comput. Mater. Contin.,2022

5. Lee, M.-T., Chuang, M.-L., Kuo, S.-T., and Chen, Y.-R. (2022). UAV swarm real-time rerouting by edge computing D* lite algorithm. Appl. Sci., 12.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3