SafeRouteGuard : Accident-Aware Navigation System

Authors

  • Prof. Anuja Garande Artificial Intelligence & Data Science Engineering, Zeal College of Engineering and Research, Pune, India Author
  • Omkar Kondhalkar Artificial Intelligence & Data Science Engineering, Zeal College of Engineering and Research, Pune, India Author
  • Ayush Sherigar Artificial Intelligence & Data Science Engineering, Zeal College of Engineering and Research, Pune, India Author
  • Pranav Rathod Artificial Intelligence & Data Science Engineering, Zeal College of Engineering and Research, Pune, India Author
  • Manish Gadhave Artificial Intelligence & Data Science Engineering, Zeal College of Engineering and Research, Pune, India Author

DOI:

https://doi.org/10.32628/IJSRSET2411210

Keywords:

Security Issues, Mapbox Security, Openstreetmap Architecture, Challenges, Automation of Road Safety Industry, Security Zone Threats, Security Measurement Frameworks

Abstract

SaferRouteGuard is a novel web application designed to enhance road safety by providing real-time notifications of accident- prone zones, or "black spots," along user-input routes. This system aims to reduce the likelihood of accidents and enhance overall road safety. The research paper discusses the development, methodology, data sources, and future scope of SaferRouteGuard. In a world where transportation is a vital part of our daily lives, road safety remains a paramount concern. The alarming frequency of road accidents, their devastating consequences, and the associated economic burden demand innovative solutions that can proactively address this issue. We are proud to present a groundbreaking project that brings together technology, data analysis, and real-world impact in the form of the "Road Accident Navigation System and Minimal Accident Route Recommendation.”

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Published

30-03-2024

Issue

Section

Research Articles

How to Cite

[1]
A. G. Garande, O. Kondhalkar, A. Sherigar, P. Rathod, and M. Gadhave, “SafeRouteGuard : Accident-Aware Navigation System”, Int J Sci Res Sci Eng Technol, vol. 11, no. 2, pp. 122–129, Mar. 2024, doi: 10.32628/IJSRSET2411210.

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