中文摘要：

无人的天线车辆(UAV ) 被介绍拿道路片断交通监视。就有限 UAV 最大的飞行距离而言， UAV 线路计划问题被学习。首先，为道路片断监视计划 UAV 线路的一个多客观的优化模型被建议，它试图最小化 UAV 巡航距离并且最小化使用的 UAV 的数字。然后，一个进化算法基于 Pareto optimality 技术被建议解决计划问题的多客观的 UAV 线路。最后，一个 UAV 飞行实验被进行线路计划测试 UAV 有三种情形的效果，和一个盒子被学习线路计划在 UAV 上分析不同道路片断长度的影响。盒子结果证明优化巡航距离和 UAV 的数字分别地由 38.43% 和 33.33% 的一般水准使用了减少。另外，弄短或扩大道路片断的长度在 UAV 线路计划上有不同影响。

英文摘要：

Unmanned aerial vehicle （UAV） was introduced to take road segment traffic surveillance. Considering the limited UAV maximum flight distance, UAV route planning problem was studied. First, a multi-objective optimization model of planning UAV route for road segment surveillance was proposed, which aimed to minimize UAV cruise distance and minimize the number of UAVs used. Then, an evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV route planning problem. At last, a UAV flight experiment was conducted to test UAV route planning effect, and a case with three scenarios was studied to analyze the impact of different road segment lengths on UAV route planning. The case results show that the optimized cruise distance and the number of UAVs used decrease by an average of 38.43% and 33.33%, respectively. Additionally, shortening or extending the length of road segments has different impacts on UAV route planning.