摘要
本文阐述了人工智能核心技术在智能交通系统中的应用,包括计算机视觉在智能驾驶感知中的作用、自然语言处理在人机交互中的应用、机器学习在交通大数据分析与物流优化中的价值。总的来说,人工智能为交通领域注入新活力,持续推进智能交通系统的发展,为构建更安全、高效、绿色的交通系统赋能。
This paper expounds the application of the core technology of artificial intelligence in the intelligent transportation system,including the role of computer vision in intelligent driving perception,the application of natural language processing in human-computer interaction,and the value of machine learning in traffic big data analysis and logistics optimization.In general,artificial intelligence has injected new vitality into the transportation field,and will continue to promote the development of the intelligent transportation system,and empower the construction of a safer,more efficient and green transportation system.
作者
周新华
ZHOU Xinhua(Changsha University,Changsha Hunan 410022,China)
出处
《信息与电脑》
2024年第8期56-58,共3页
Information & Computer
基金
长沙学院校企合作课题“储能BMS算法开发”(课题编号:2023-7)。
关键词
人工智能
智能交通系统
计算机视觉
自然语言处理
机器学习
artificial intelligence
intelligent transportation system
computer vision
natural language processing
machine learning