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UAV-enabled intelligent traffic policing and emergency response handling system for the smart city

机译:为智能城市支持无人机的智能流量监管和紧急响应处理系统

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摘要

As modern cities expand and develop, the resultant increase in population density gives rise to the need for smart solutions to cope with the demands applied to the infrastructure of the city. In this paper, we investigate the shortcomings of traffic policing and emergency response handling systems; propose an intelligent, autonomous UAV-enabled solution; and describe the system in a simulated environment. Several scenarios of traffic monitoring and policing system are considered in the simulation: traffic light violations and accident detection, mobile speeding traps and automated notification, congestion detection and traffic rerouting, flagged stolen vehicles/pending arrest warrants and vehicle tracking using UAVs, and autonomous emergency response handling systems. Furthermore, smart city infrastructure enable intelligent handling of emergencies by providing traffic light prioritization for ground emergency response units to reduce delay for patient care, automated physical bollard on routes with congested points due to accidents or hazards, first responder support UAV units-medical supplies UAV, fire fighting UAV to combat or control small fires, and numerous other benefits. Lastly, we present the results of the simulated system and discuss our findings.
机译:随着现代城市的扩大和发展,所产生的人口密度的增加引起了智能解决方案,以应对适用于城市基础设施的需求。在本文中,我们调查了交通警察和应急响应处理系统的缺点;提出了一种智能,启用自动的无人机的解决方案;并描述模拟环境中的系统。在模拟中考虑了几种交通监测和警务系统的场景:交通灯违规和事故检测,移动超速陷阱和自动化通知,拥塞检测和交通规局,标记的被盗车辆/待定逮捕权和使用无人机的车辆跟踪,以及自主紧急响应处理系统。此外,智能城市基础设施通过提供地面应急响应单元的交通灯优先级,使患者护理的交通优先级排列能够智能处理,以减少患者护理的延迟,由于事故或危险导致的拥挤积分的途径的自动化物理盗用,首先响应者支持无用的单位 - 医疗用品UAV ,消防无人机打击或控制小火灾,以及许多其他好处。最后,我们介绍了模拟系统的结果并讨论了我们的研究结果。

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