@article{3830,
  author = {Yuan Jie},
  title = {Impact of Fuzzy Decision Trees on Safety Driving Systems},
  journal = {International Journal of Web Applications},
  year = {2023},
  volume = {15},
  number = {3},
  doi = {https://doi.org/10.6025/ijwa/2023/15/3/65-72},
  url = {https://www.dline.info/ijwa/fulltext/v15n3/ijwav15n3_1.pdf},
  abstract = {With the continuous increase in car ownership, traffic safety issues are receiving increasing attention from people. Many car manufacturers and research institutions have developed various car safety driving systems to improve driving safety. Among them, the automotive safety driving reference system based on fuzzy decision trees has been widely studied and applied as an effective technical means. This article studies the application analysis of a vehicle safety driving reference system based on fuzzy decision trees. This system utilizes a fuzzy decision tree algorithm to identify and evaluate the driving environment, providing drivers with safe driving suggestions and guidance. This article mainly introduces the system’s design principle, implementation process, and experimental verification results of the system and analyzes the advantages, disadvantages, and practical application value.},
}