Published on: September 2026
RISK-AWARE SMART NAVIGATION SYSTEM FOR SHORTEST AND SAFEST PATH DETECTION
Nagaraju Vassey Yaswanth Kiran Gorle Manne Naga Vj Manikanth
Andhra University College of Engineering, Visakhapatnam, India
Article Status
Available Documents
Abstract
The prototype was tested for route generation, distance calculation, accident handling, weather penalties, risk scoring, data loading, and disconnected routes. The results show that safety-related information can be included in a lightweight browser-based navigation application without a separate backend server. The system is intended as a regional decision-support prototype and does not claim to guarantee real-world road safety.
Functional testing covers route generation, distance calculation, accident handling, weather penalties, risk scoring, data loading, and disconnected-path conditions. The resulting prototype demonstrates how safety-related information can be incorporated into a lightweight browser-based navigation workflow without requiring a dedicated
backend. The system is intended as a regional decision-support prototype rather than a guarantee of real-world road safety.
Keywords- Risk-aware navigation, A* algorithm, safest path, shortest path, accident analysis, traffic analysis, weather-aware routing, TomTom Maps, OpenWeatherMap, GIS, smart transportation.
How to Cite this Paper
Vassey, N., Gorle, Y. K. & Manikanth, M. N. V. (2026). Risk-Aware Smart Navigation System for Shortest and Safest Path Detection. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.072
Vassey, Nagaraju, et al.. "Risk-Aware Smart Navigation System for Shortest and Safest Path Detection." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.072.
Vassey, Nagaraju,Yaswanth Gorle, and Manne Manikanth. "Risk-Aware Smart Navigation System for Shortest and Safest Path Detection." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.072.
References
- E. Hart, N. J. Nilsson, and B. Raphael, “A Formal Basis for the Heuristic Determination of Minimum Cost Paths,” IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100–107, 1968.
- H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to Algorithms, 3rd ed. MIT Press, 2009.
- OpenWeather , “OpenWeather API Documentation,” online documentation.
- TomTom, “TomTom Maps and Routing APIs Documentation,” online
- TomTom, “Traffic Flow API Documentation,” online
- World Wide Web Consortium, “Geolocation API Specification,” W3C Recommendation/Specification.
- Project documentation, “Risk Aware Smart Navigation System,” Department of Information Technology and Computer Applications, Andhra University College of Engineering (A), Visakhapatnam,
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Sep 10 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

