论文部分内容阅读
将无人飞机技术应用到稀疏路网的交通监控当中,提出了无人飞机在有无续航里程约束条件下的交通监控部署方法。给出了无人飞机的监控路段和节点的选择方法;在无续航里程约束条件下,将无人飞机的交通监控问题转化为旅行商问题,并运用模拟退火算法予以求解;在有续航里程约束条件下,运用K-means聚类方法,将无人飞机的监控区域划分成若干子监控区,从而将该问题转化为无续航里程约束的无人飞机交通监控部署问题。以新疆库库高速公路和路网为例,对稀疏路网条件下的无人飞机交通监控部署方法进行实证分析和试飞试验。试验结果表明:无人飞机在稀疏路网条件下是一种有效的交通监控设备,可用于我国西部稀疏路网的交通监控。
The unmanned aircraft technology is applied to the traffic monitoring of the sparse road network, and the deployment method of traffic monitoring under the constraint of unmanned aircraft with or without cruising range is put forward. The method of selecting control points and nodes of unmanned aircraft is given. Under the condition of no cruising mileage constraint, the unmanned aircraft traffic monitoring problem is transformed into the traveling salesman problem and solved by simulated annealing algorithm. Under the condition of using K-means clustering method, the unmanned aircraft’s monitoring area is divided into several sub-monitoring areas, so that the problem can be transformed into the unmanned aircraft traffic monitoring deployment problem with no mileage constraint. Taking the Kuqiu Expressway and road network in Xinjiang as an example, the paper empirically analyzes and tests the unmanned aircraft traffic monitoring deployment method under the condition of sparse road network. The test results show that UAV is an effective traffic monitoring equipment under the condition of sparse road network and can be used for traffic monitoring of the sparse road network in western China.