Advanced Traffic Navigation System

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@article{1705394,
      author = {Harshith Kumar R, Piyanshu Gupta, S Shreyas},
      title = {Advanced Traffic Navigation System},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {7},
      pages = {267-276},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705394.pdf},
      abstract = {This paper introduces groundbreaking enhancements to conventional navigation systems aimed at overcoming challenges faced by urban commuters, with a focus on Bangalore. Leveraging real-time weather integration, the system proactively alerts users about potential waterlogged areas during rainy weather, enabling informed route planning and optimization of travel time and fuel consumption. The incorporation of road condition data, including potholes and speed breakers, enhances drivers' ability to navigate seamlessly. Dynamic markers for waterlogged areas, based on heavy rainfall, offer real-time information on flooding-prone locations, empowering users to make informed decisions during adverse weather conditions. The project, implemented using Python and Google Collab, utilizes open-source libraries like Folium to create user-friendly maps, providing valuable insights for a smoother travel experience. This innovative approach contributes to optimized route planning, reduced travel time, and increased overall efficiency in urban mobility.},
      month = {January},
  }