International Journal of Science, Engineering and TechnologyAuthors: Mamta, Shaivya Grover, Palak Chugh, Mishthi Jain
Abstract: Modern navigation systems primarily optimize routes based on travel time and distance, often neglecting safety related parameters such as road condition, weather, visibility, and traffic hazards. This paper proposes a real time risk aware route optimization framework for safe and intelligent navigation systems that integrates multi source data including GPS, weather APIs, traffic information, and user generated hazard reports. A weighted risk evaluation model is employed to compute a composite safety score for each candidate route, and a modified Dijkstra’s algorithm is utilized to identify the safest route rather than merely the shortest path. The system dynamically updates route recommendations in response to changing environmental and traffic conditions, thereby enhancing adaptability and reliability. The proposed approach aims to improve road safety, reduce accident risks, and contribute toward the development of intelligent transportation systems.
DOI: http://doi.org/10.5281/zenodo.21714118
