Research on intelligent transportation algorithms based on artificial intelligence

Gaofeng Xu; Shouhui Zhang

doi:10.1117/12.3029004

22 May 2024 Research on intelligent transportation algorithms based on artificial intelligence

Gaofeng Xu, Shouhui Zhang

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131760B (2024) https://doi.org/10.1117/12.3029004
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

Artificial intelligence will play an important supporting role in urban traffic congestion management and smart transportation work. In recent years, China has vigorously developed infrastructure construction, and intelligent transportation system equipment such as cameras, microwaves, ultrasound, and electronic police have basically covered urban main roads, highways, and national and provincial roads. On top of a relatively complete transportation infrastructure, a large amount of traffic data is generated through various devices and technologies. With the support of artificial intelligence technology, reasonable driving speeds and traffic flow scales are set, and the duration of signal traffic lights at different road intervals is calculated. This enables efficient passage of vehicles within the corresponding road sections, greatly improving the efficiency of road travel in the entire city.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gaofeng Xu and Shouhui Zhang "Research on intelligent transportation algorithms based on artificial intelligence", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131760B (22 May 2024); https://doi.org/10.1117/12.3029004

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