AI empowering smart city transportation systems: Path research from traffic prediction to improvement of social operation efficiency
Wenting Ding
Communication University of China,Nanjing
Hongxiu Duan
Communication University of China,Nanjing
Ming Tang
Communication University of China,Nanjing
Mei Liu
Communication University of China,Nanjing
DOI: https://doi.org/10.59429/esta.v12i3.11350
Keywords: artificial intelligence; smart city transportation system; traffic flow prediction; social operation efficiency
Abstract
This paper dives into how artificial intelligence (AI) is actually being used in smart city transportation systems and breaks down the step-by-step ways it goes from predicting traffic flow to boosting the efficiency of real-world social operations. It analyzes the principles and advantages of AI technology in traffic flow prediction and elaborates on how AI enhances social operation efficiency through optmizing traffic management, improving travel experiences, and promoting resource allocation. Research shows that AI empowering smart city transportation systems has significant practical significance and broad development prospects, but it also faces challenges such as data security, technical standards, and talent shortages. This paper proposes countermeasures including strengthening data protection, formulating unified standards, and cultivating interdisciplinary talents, providing references for promoting the application of AI in smart city transportation.
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