启用物联网的自适应交通管理:城市移动优化多代理框架
1Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh P.O. Box 11451, Saudi Arabia.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
物联网 (IoT) 支持的自适应性交通管理显著减少了城市拥堵和排放. 这种传感器驱动的方法提高了流动性,并为智能城市规划提供了可持续的解决方案.
科学领域:
- 城市规划与交通工程 城市规划与交通工程
- 计算机科学和人工智能 人工智能
- 环境科学 环境科学
背景情况:
- 城市拥堵和环境影响是人口密集城市面临的主要挑战.
- 传统的交通管理系统往往依赖于静态或反应式策略,对于动态的城市环境来说是不够的.
研究的目的:
- 评估物联网支持的自适应交通管理系统在缓解城市拥堵和环境影响方面的有效性.
- 使用多代理模拟框架开发和评估先进的交通管理策略.
主要方法:
- 开发了一个多代理模拟框架,将实时物联网传感器数据与预测分析集成在一起.
- 模拟各种交通参与者 (车辆,公共汽车,骑自行车者,紧急服务) 作为动态代理.
- 在各种交通场景下评估了自适应信号控制和动态重定向策略.
主要成果:
- 实现了30%的平均旅行时间的减少.
- 在主要十字路口减少了50%的拥堵.
- 减少了28%的二氧化碳 (CO2) 排放量.
结论:
- 支持物联网的自适应交通管理系统为可持续的城市流动提供了变革性的潜力.
- 拟议的框架提供了对智慧城市交通战略的现实和可扩展的评估.
- 结果为城市规划和交通政策提供了可操作的见解,强调可扩展性,公平性和多式联运包容性.
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