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Digital City-Smart Traffic Congestion Prediction and Police Service Support System

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Digital City-Smart Traffic Congestion Prediction and Police Service Support System

Solving traffic congestion has significant impacts on society, the environment, and the economy. This system combines LSTM prediction models with AI technology, utilizing traffic data and various features to effectively forecast traffic conditions for the next 30 minutes. This capability not only enhances traffic efficiency but also promotes economic growth, improves environmental quality, enhances social welfare, and contributes to the sustainable development of cities.

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  • Pavilion:Future Tech AI Theme Area FL01

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Information & Communications

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  • Technology maturity:Trial production

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Negotiate by self

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