Discussion on the Feasibility of Applying Unmanned Aerial Vehicle Remote Sensing Technology in Urban Road Traffic Congestion

Abstract

Frequent traffic jams occur in cities, affecting commuting efficiency and citizens' health. At present, based on the existing unmanned aerial vehicle remote sensing technology, it can be conducive to alleviating traffic congestion. This paper mainly compares the efficiency, frequency and cost of aerospace remote sensing and unmanned aerial vehicle (UAV) remote sensing in monitoring objects, and finds that UAV remote sensing can better match the scenarios of monitoring commuter vehicles. This paper also proposes that according to the complexity of urban road surfaces, corresponding remote sensing methods should be adopted to obtain traffic flow information for road sections with different complexity levels. It can be concluded from this that unmanned aerial vehicle remote sensing can achieve high-frequency monitoring over a large area in a short period at a relatively low cost. By coordinating with the transportation department to regulate vehicles, the function of predicting and alleviating traffic congestion can be well achieved. This brings a new problem solving idea for urban road segments with similar dilemma in the world.