2024 Vol.7 Apr.N02

• Title: Research on Traffic Planning Strategies Based on TRIPS Data Prediction Model
• Name: Peng Peng, Chen Siyu, Li Shaobo,Luo Siying
• Company: School of Civil Engineering,Hunan University of Arts and Science,Changde, Hunan 415000, China
• Abstract:

   With the acceleration of urbanization, urban transportation problems are becoming increasingly serious, bringing many inconveniences to people's lives. Big data technology provides new ideas and methods for urban transportation planning. Based on this, this article relies on the road traffic data of Cardiff, UK, to propose strategies and suggestions for urban traffic planning and development, and based on the TRIPS data prediction model to carry out argumentation, providing a certain reference for improving the level and effectiveness of urban traffic planning. 

  
  

• Keyword: Transportation Problems ；UrbanTraffic Planning and Development；TRIPS Data Prediction Model
• DOI: 10.12250/jpciams2024090317
• Citation form: Peng Peng.Research on Traffic Planning Strategies Based on TRIPS Data Prediction Model [J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.77-85

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