摘要
阐述基于多智能体技术、强化学习技术和大模型技术,分析国内外的研究现状。介绍人工智能技术应用于城市交通中的问题,并对系统应用进行展望。研究结果表明,现有的各类算法均存在适配性不足、算法实时性和实用性不足的问题。
This paper expounds the research status at home and abroad based on multi-agent technology,reinforcement learning technology,and large model technology.It introduces the application of artificial intelligence technology in urban transportation and provides prospects for the system's application.The research results indicate that existing algorithms suffer from insufficient adaptability,real-time performance,and practicality.
作者
朱圣发
顾亚龙
ZHU Shengfa;GU Yalong(Shanghai Lingang New Area Digital Infrastructure Investment and Development Co.,Ltd.,Shanghai 201306,China)
出处
《集成电路应用》
2024年第4期394-397,共4页
Application of IC
关键词
智能技术
信号控制
智能体
强化学习
intelligent technology
signal control
agents
reinforcement learning