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在智能交通系统中基于物联网的紧急车辆服务
Abdullahi Chowdhury1, Shahriar Kaisar2, Mahbub E Khoda3
1School of Computer Science, University of Adelaide, Adelaide 5005, Australia.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究引入了一种无人驾驶飞行器 (UAV) 引导系统,以改善紧急车辆 (EV) 的响应时间. 通过优化交通信号,它减少了电动汽车的延误,并最大限度地减少了对其他交通的干扰.
科学领域:
- 智能运输系统 智能运输系统
- 交通工程是交通工程.
- 应急响应管理 应急反应管理
背景情况:
- 城市交通拥堵导致紧急车辆 (EV) 的延迟,增加死亡和损坏.
- 目前的方法通过改变交通信号来优先考虑电动汽车,但忽视非紧急车辆干扰和动态交通变化.
- 电动汽车现有的路由策略是静态的,无法适应实时交通条件.
研究的目的:
- 提出一个无人驾驶飞行器 (UAV) 引导的,以优先级为基础的事件管理系统.
- 通过改善十字路口空隙,减少紧急车辆 (EV) 的响应时间.
- 为了尽量减少在电动汽车运输过程中对非紧急车辆的干扰.
主要方法:
- 开发一种新的无人驾驶飞行器 (UAV) 引导事故管理系统.
- 实施基于优先级的算法,考虑电动汽车和非紧急车辆流量.
- 动态交通信号阶段控制以优化交通流量和清除时间.
主要成果:
- 实现了紧急车辆 (EV) 响应时间减少8%.
- 改善了12%的事故地点周围的交通清理时间.
- 在优先考虑电动汽车,同时减轻对其他道路使用者的干扰方面表现出平衡的方法.
结论:
- 拟议的无人机引导系统有效地减少了应急响应时间.
- 该系统成功地平衡了应急车辆的需求和常规交通的流量.
- 这种方法为事件管理的智能运输系统带来了重大进步.
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