交通工程中的智能交通信号控制算法研究

摘    要

交通工程中的智能交通信号控制算法研究是应对城市交通拥堵、提升交通效率与安全性的重要途径。随着科技的飞速发展，传统的交通信号控制方式已难以满足现代城市交通的复杂需求，因此，智能交通信号控制算法的研究与应用成为了交通工程领域的热点之一。城市交通系统是一个复杂的网络，其中交通信号控制是保障交通流畅、减少事故风险的关键环节。随着城市化进程的加快和车辆数量的急剧增加，交通拥堵和事故频发已成为制约城市发展的瓶颈。智能交通信号控制算法通过运用先进的计算机技术、数据分析和优化理论，能够实现对交通信号的智能化控制，从而提高交通效率、降低拥堵程度和事故风险，对于城市交通的可持续发展具有重要意义。智能交通信号控制算法的研究内容主要包括交通流数据的采集与处理、交通信号控制策略的设计与优化以及算法的实现与验证等方面。研究者们通过开发各种传感器、摄像头等设备来实时获取交通流数据，并运用机器学习、深度学习等算法对交通流进行预测和分析。在控制策略方面，研究者们提出了多种基于实时交通数据的优化算法，如模糊控制、遗传算法、强化学习等，以实现交通信号的智能化控制。


关键词：智能交通信号控制  交通工程  优化算法  


Abstract 
The research of intelligent traffic signal control algorithm in traffic engineering is an important way to deal with urban traffic congestion and improve traffic efficiency and safety. With the rapid development of science and technology, the traditional traffic signal control method has been difficult to meet the complex needs of modern urban traffic. Therefore, the research and application of intelligent traffic signal control algorithm has become one of the hot spots in the field of traffic engineering. Urban traffic system is a complex network, in which traffic signal control is the key link to ensure smooth traffic and reduce accident risk. With the acceleration of urbanization and the sharp increase in the number of vehicles, traffic congestion and frequent accidents have become the bottleneck restricting urban development. Intelligent traffic signal control algorithm can realize intelligent control of traffic signals by using advanced computer technology, data analysis and optimization theory, so as to improve traffic efficiency, reduce congestion degree and accident risk, which is of great significance for the sustainable development of urban traffic. The research content of intelligent traffic signal control algorithm mainly includes the collection and processing of traffic flow data, the design and optimization of traffic signal control strategy, and the realization and verification of the algorithm. Researchers acquire real-time traffic flow data by developing various sensors, cameras and other devices, and use machine learning, deep learning and other algorithms to predict and analyze traffic flow. In terms of control strategy, researchers have proposed a variety of optimization algorithms based on real-time traffic data, such as fuzzy control, genetic algorithm, reinforcement learning, etc., to achieve intelligent control of traffic signals.


Keyword:Intelligent traffic signal control  Traffic engineering  Optimization algorithm 




目    录
1引言 1
2智能交通信号控制算法概述 1
2.1算法基本原理 1
2.2算法分类与特点 2
2.3现有算法分析 3
3智能交通信号控制算法设计 3
3.1算法设计原则 3
3.2算法建模 4
3.3算法实现技术 4
3.4算法测试与评估 5
4算法优化与仿真分析 5
4.1优化策略 5
4.2仿真环境搭建 6
4.3仿真结果分析 7
4.4实际应用展望 7
5结论 8
参考文献 9
致谢 10