Open AccessApplication of New Generation Artificial Intelligence in Traffic Informatization
Author(s) -
Jin-lin Hou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/2/022070
Subject(s) - informatization , urbanization , computer science , transport engineering , china , mode (computer interface) , hotspot (geology) , engineering , telecommunications , geography , economic growth , economics , archaeology , geophysics , geology , operating system
With the rapid development of economy, continuous improvement of urbanization level, increasing number of private cars and increasingly prominent urban traffic problems, intelligent transportation has become a research hotspot at home and abroad. As a new generation of high and new technology, artificial intelligence technology plays a decisive role in the development of China’s transportation. On the basis of studying the level of China’s traffic informatization, this paper uses the YOLO algorithm model and selects the CCTSDB data set to study the traffic sign recognition in traffic informatization, and verifies the accuracy of the algorithm through experimental results, and changes the traditional driving mode, improve the level of informatization, and reduce the occurrence of traffic accidents.