Security situational aware intelligent road traffic monitoring using UAVs

R. Reshma, T. Ramesh, P. Sathishkumar
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引用次数: 44

Abstract

Roadway networks span large distances and can be difficult to monitor for managing road traffic. Most efforts to collect usage data from roadways either require a large fixed infrastructure or are labour intensive. Numerous number of road traffic monitoring techniques exists today. Technological advances in electronics and communication have recently enabled an alternative, such as use of Unmanned Aerial Vehicles (UAVs). UAVs are very flexible and fast compared to the normal road traffic monitoring techniques. In addition, security situations can also impact the road traffic management. This paper presents a security situational aware intelligent traffic monitoring using UAV. Such security situational aware road traffic management can also support research and development of intelligent transportation systems (ITS). In this paper, various real time traffic as well as security issues are analysed and mitigations are presented as re-routing of the traffic. The decision commands for re-routing or shortest traffic paths are given by the UAV and these informations are sent to the traffic management control centre. The model was validated using ARM microcontroller simulation using Keil μvision and Proteus tools.
使用无人机的安全态势感知智能道路交通监控
道路网络跨越很远的距离,可能难以监控以管理道路交通。从道路上收集使用数据的大多数努力要么需要大型固定基础设施,要么是劳动密集型的。目前存在大量的道路交通监测技术。最近,电子和通信技术的进步使另一种选择成为可能,例如使用无人驾驶飞行器(uav)。与普通的道路交通监控技术相比,无人机非常灵活和快速。此外,安全局势也会影响道路交通管理。提出了一种基于无人机的安全态势感知智能交通监控系统。这种安全态势感知道路交通管理还可以支持智能交通系统(ITS)的研究和开发。本文分析了各种实时流量和安全问题,并提出了通过流量重路由的缓解措施。无人机给出重新路由或最短交通路径的决策命令,并将这些信息发送到交通管理控制中心。利用Keil μvision和Proteus工具对该模型进行ARM微控制器仿真验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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