基于无人机的交通枢纽交通拥堵分析

A. Kostin
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引用次数: 0

摘要

本文考虑了在城市环境中使用无人机来识别和分析交通枢纽拥堵的可能性。由于交通拥塞的不均匀性,本文论证了对交通枢纽拥塞进行分析的必要性。经典的拥塞估计模型不允许考虑过程的动态。人工计算得到的数据有误差,需要长时间的处理。使用摄像头的数据可以解决拥堵分析问题,但在高峰时段不可能高精度地解决这个问题。提出了利用无人机(来自无人机系统)获取的数据来解决拥堵分析问题。为了实现这一解决方案,本文给出了无人机应该具备的必要组件列表,一个实现自主飞行的源代码示例,一个使用特殊软件实现交通传输枢纽飞越方案的示例。
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ANALYSIS OF TRAFFIC CONGESTION AT TRANSPORT TRANSFER HUBS USING DRONES
This article considers the possibility of using drones to identify and analyze the congestion of traffic-transfer hubs in the urban environment. The article substantiates the need to analyze the congestion of traffic-transfer hubs, due to the unevenness of traffic congestion. Classical models of congestion estimation do not allow taking into account the dynamics of the process. The data obtained by manual calculations contain errors and require lengthy processing. Using the data from cameras allows solving the problem of congestion analysis, but it is not possible to solve this problem with high accuracy during peak hours. The use of data obtained from drones (from an unmanned aerial system) is proposed to solve the congestion analysis problem. To implement this solution, the article presented a list of necessary components that a drone should have, an example of the source code for the implementation of an autonomous flight, an example of the implementation of the traffic-transfer hubs overflight scheme using special software.
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