01473360

Component

Unmanned Aerial Vehicle (UAV) was used to collect traffic information of road segments not installed with traffic detectors, therefore, it’s necessary to plan UAV cruise route for traffic surveillance so as to minimize UAV cruise cost as much as possible. First, a multi-objective optimization model of planning UAV cruise route was proposed, which aimed to minimize UAV cruise distance and minimize the number of UAVs used respectively. Then, an evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV cruise route planning problem. Next, a case using UAV to monitor 14 road segments near Tongji University in China was studied, the case results showed that optimized cruise distance and the number of UAVs used were reduced by 38.54% and 33.33% respectively compared to the initial optimal solutions, this demonstrated that the proposed evolutionary algorithm was feasible and effective. Finally, some discussions of using UAVs for traffic surveillance were given.

This paper was sponsored by TRB committee AFB80 Geospatial Data Acquisition Technologies in Design and Construction.

01470560

13-0735

English

17p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; Photos; References; Tables

Algorithms; Drones; Geometric segments; Optimization; Routes and routing; Traffic surveillance

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory; I73: Traffic Control

Transportation Research Board Annual Meeting 2013 Paper #13-0735

TRIS, TRB, ATRI

Feb 5 2013 12:16PM