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 sys-tems to meet the needs of modern transportation.This study focuses on the construction of Intelli-gent 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 de-cisions in the context of big data.Through empirical analysis of case studies on urban traffic opti-mization and highway management,this paper demonstrates the practical utility of artificial intelli-gence technologies in traffic flow control,accident prevention,and improving travel efficiency.This research not only provides technical support for modern transportation systems,but also of-fers insights into the future development of intelligent transportation.
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
Key words
Artificial Intelligence/Intelligent Transportation System/Traffic Data Collection/Data Pro-cessing/Intelligent Decision-making/Traffic Optimization
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