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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 9

Published on: September 2026

RISK-AWARE SMART NAVIGATION SYSTEM FOR SHORTEST AND SAFEST PATH DETECTION

Nagaraju Vassey Yaswanth Kiran Gorle Manne Naga Vj Manikanth

Department of Information technology and Computer Applications,

Andhra University College of Engineering, Visakhapatnam, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

The system uses a curated dataset of 70 documented accident locations from Visakhapatnam and the NH16 corridor. Current weather information is obtained from OpenWeatherMap and used in the risk calculation. Traffic information is obtained through the TomTom platform and shown as part of the current route information. The application also includes a TomTom interactive map, browser-based location detection, emergency facility search, voice narration, and a risk-score display.

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.

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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
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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.

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