Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information

被引：0

作者：

刘晓锋 ^{[1
]}

彭仲仁 ^{[1
]}

常云涛 ^{[1
]}

张立业 ^{[1
]}

机构：

[1] School of Transportation Engineering,Tongji University

来源：

JournalofCentralSouthUniversity | 2012年 / 19卷 / 12期

基金：

国家高技术研究发展计划(863计划);

关键词：

traffic information collection; unmanned aerial vehicle; cruise route planning; multi-objective optimization;

D O I：

暂无

中图分类号：

V279 [无人驾驶飞机]; U491 [交通工程与交通管理];

学科分类号：

1111 ;

摘要：

Unmanned aerial vehicle(UAV)was introduced as a novel traffic device to collect road traffic information and its cruise route planning problem was considered.Firstly,a multi-objective optimization model was proposed aiming at minimizing the total cruise distance and the number of UAVs used,which used UAV maximum cruise distance,the number of UAVs available and time window of each monitored target as constraints.Then,a novel multi-objective evolutionary algorithm was proposed.Next,a case study with three time window scenarios was implemented.The results show that both the total cruise distance and the number of UAVs used continue to increase with the time window constraint becoming narrower.Compared with the initial optimal solutions,the optimal total cruise distance and the number of UAVs used fall by an average of 30.93% and 31.74%,respectively.Finally,some concerns using UAV to collect road traffic information were discussed.

引用

页码：3614 / 3621

页数：8

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