智能城市交通优化使用IoD和IoT集成
Aminu Yusuf1, Tarek R Sheltami2, Ashraf Mahmoud2
1Computer Engineering Department, Interdisciplinary Research Center of Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. g202304010@kfupm.edu.sa.
Scientific reports
|March 3, 2026
概括
这项研究将物联网 (IoT) 和无人机互联网 (IoD) 整合在一起,以实现更智能的城市交通管理. 综合系统大大减少了旅行延误和车辆排放,促进了可持续的交通.
科学领域:
- 智能运输系统 智能运输系统
- 无线通信网络 无线通信网络
- 环境科学 环境科学
背景情况:
- 城市交通拥堵导致大量的燃料浪费和污染.
- 城市人口的增长加剧了交通问题,需要有效的管理解决方案.
- 现有的交通管理系统在所有领域的实时数据传播和覆盖方面都存在困难.
研究的目的:
- 提出和评估一个使用物联网 (IoT) 和无人机互联网 (IoD) 的综合框架,以加强城市交通管理.
- 为了提高交通效率,减少旅行延误,并尽量减少城市环境中的车辆排放.
- 利用无人机技术,在连接稀疏的地区扩大动态通信覆盖范围.
主要方法:
- 利用物联网 (IoT) 传感器进行实时流量监控.
- 雇佣的路边单位 (RSU) 用于数据处理和车辆更新.
- 实施无人机作为移动中继节点来扩大通信范围,通过粒子优化 (PSO) 优化放置.
- 使用SUMO和TraCI与Python进行模拟,用于通信协议和自适应重定向.
主要成果:
- 综合物联网-物联网系统显示,旅行延误和车辆排放量大幅减少.
- 在达马姆,排放量减少了高达40.99%,旅行时间减少了32.05%.
- 在多哈,排放量减少了高达48.78%,旅行时间减少了43.92%.
结论:
- 协调的物联网-物联网系统有效地提高了城市交通流量和运营效率.
- 拟议的框架对可持续的城市流动性和改善空气质量作出了重大贡献.
- 动态无人机集成为实时交通信息传播提供了一个可扩展的解决方案.
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