摘要
随着计算机视觉、机器学习等人工智能技术的快速发展,探讨了这些技术如何在道路交通系统中得到应用以响应现代化交通的需求。围绕智能交通系统(ITS)的构建,详细阐释了交通系统中传感器与数据采集的重要性,以及在大数据背景下对交通信息进行处理和智能决策的方法。通过实证分析城市交通优化以及高速公路管理的案例,展示了人工智能技术在交通流量控制、事故预防和通行效率提升方面的实际效用。本研究不仅为现代交通系统提供了技术支持,也为未来智能交通的发展方向提供了参考。
With the rapid development of artificial intelligence technologies,such as computer vision and machine learning,this paper discusses how these technologies can be applied in road traffic systems to meet the needs of modern transportation.This study focuses on the construction of Intelligent Transportation Systems(ITS)and elaborates on the importance of sensors and data collection in traffic systems,as well as methods for processing traffic information and making intelligent decisions in the context of big data.Through empirical analysis of case studies on urban traffic optimization and highway management,this paper demonstrates the practical utility of artificial intelligence technologies in traffic flow control,accident prevention,and improving travel efficiency.This research not only provides technical support for modern transportation systems,but also offers insights into the future development of intelligent transportation.
作者
王丹
WANG Dan(Zhangjiakou Highway Toll Management Station,Zhangjiakou,075000)
出处
《河北建筑工程学院学报》
CAS
2024年第1期244-246,共3页
Journal of Hebei Institute of Architecture and Civil Engineering
基金
张家口市科技计划项目重点研发计划(2121018B)。
关键词
人工智能
智能交通系统
交通数据采集
数据处理
智能决策
交通优化
Artificial Intelligence
Intelligent Transportation System
Traffic Data Collection
Data Processing
Intelligent Decision-making
Traffic Optimization
