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@article{169675,
        author = {Mr. R Stalin Babu and Dharshni G and Sunmitha P and Sriranjini S},
        title = {SHIP ROUTE OPTIMIZATION – INDIAN OCEAN},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2065-2069},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169675},
        abstract = {The Ship Route Optimization and Visualization System is an innovative web-based platform developed to improve maritime navigation, especially within the Indian Ocean, by offering optimized shipping routes between ports. This system utilizes advanced machine learning algorithms, such as decision trees and random forests, to determine the most efficient and safe paths based on several critical factors, including fuel consumption, weather conditions, and voyage duration. By integrating various data inputs, this system minimizes fuel usage and improves overall navigational safety, making it an invaluable tool for modern shipping companies focused on operational efficiency and safety.
The solution is built on a structured and accessible framework, with a Python-based backend powered by Flask, facilitating smooth data processing and user interaction. The backend model calculates optimized routes based on user inputs, which include origin, destination, weather conditions, and safety factors, and the resulting route is displayed on an interactive map within the application. This map provides a detailed view of the recommended path, avoiding harsh weather zones and optimizing for fuel efficiency, with visualization that displays curved paths rather than straight lines for more navigational accuracy.
Additional interface features include an intuitive login system to control access, allowing users to manage settings and preferences, as well as a contextual text display below the map that provides sailors with route details and precautions for safe navigation. The website also includes an integrated chatbot, enabling users to ask questions about navigation and usage of the platform.
This project demonstrates the impactful role of artificial intelligence in modern maritime operations, combining data- driven insights with user-friendly features to optimize sea routes, reduce fuel costs, and improve maritime safety. The Ship Route Optimization and Visualization System showcases the potential of technology to support resource- efficient and safe maritime logistics solutions, advancing navigation in commercial shipping.},
        keywords = {Ship Route Optimization, Machine Learning, Maritime Navigation, Fuel Efficiency, Weather Conditions, Interactive Map, AI-Powered Logistics},
        month = {November},
        }