摘 要
随着城市化进程的加快，交通拥堵和安全问题日益突出，智慧交通成为解决这些问题的重要方向，而物联网技术为交通信号控制提供了新的解决方案。本研究旨在探讨物联网技术在智慧交通信号控制中的应用潜力及其优化效果，通过构建基于物联网的实时数据采集与分析系统，结合边缘计算和云计算技术，实现了交通流量、车速及排队长度等多源数据的高效融合与智能决策。研究采用模拟仿真与实地测试相结合的方法，在典型路口部署传感器网络，验证了系统的响应速度和控制精度。结果表明，该系统能够显著降低平均延误时间，提高道路通行能力，并有效应对突发交通状况。本研究的创新点在于将物联网技术与自适应信号控制算法深度融合，提出了动态调整信号配时的新方法，为智慧交通系统的实际部署提供了理论支持和技术参考，具有重要的实践价值和广阔的应用前景。关键词：智慧交通; 物联网技术; 信号控制; 自适应算法; 交通优化
Abstract
With the acceleration of urbanization, traffic congestion and safety issues have become increasingly prominent, making intelligent transportation an important direction for addressing these challenges. Internet of Things (IoT) technology provides a novel solution for traffic signal control. This study investigates the application potential and optimization effects of IoT technology in intelligent traffic signal control by constructing a real-time data collection and analysis system based on IoT, integrated with edge computing and cloud computing technologies. The system achieves efficient fusion and intelligent decision-making of multi-source data, including traffic volume, vehicle speed, and queue length. A combination of simulation and field testing was employed to validate the system's response speed and control accuracy through the deployment of a sensor network at typical intersections. Results indicate that the system can significantly reduce average delay time, enhance road capacity, and effectively handle unexpected traffic conditions. The innovation of this study lies in the deep integration of IoT technology with adaptive signal control algorithms, proposing a new method for dynamically adjusting signal timing. This provides theoretical support and technical references for the practical deployment of intelligent transportation systems, demonstrating significant practical value and broad application prospects.
Key words:Intelligent Transportation; Internet Of Things Technology; Signal Control; Adaptive Algorithm; Traffic Optimization
目 录
中文摘要 I
英文摘要 II
引 言 1
第1章、物联网技术基础与交通信号控制 2
1.1、物联网技术概述 2
1.2、交通信号控制需求分析 2
1.3、物联网在交通信号中的适用性 3
第2章、数据采集与传输在智慧交通中的应用 4
2.1、传感器网络部署策略 4
2.2、实时数据传输机制 4
2.3、数据质量保障方法 5
第3章、智能算法与信号优化控制研究 6
3.1、基于物联网的信号配时优化 6
3.2、动态交通流预测模型 6
3.3、控制算法性能评估体系 7
第4章、系统实施与实际应用案例分析 8
4.1、智慧交通系统架构设计 8
4.2、典型应用场景分析 8
4.3、实施效果与改进建议 8
结 论 10
参考文献 11
