Most existing navigation systems prioritize the fastest or shortest route without considering fuel efficiency. With rising fuel costs and increasing environmental concerns, this approach often leads to higher expenses and unnecessary fuel consumption. There is a need for an intelligent routing system that evaluates multiple routes and recommends the most fuel-efficient option by analyzing factors such as distance, traffic conditions, and estimated fuel usage. The goal is to design a solution that helps users minimize fuel costs while maintaining reasonable travel time, enabling smarter and more sustainable travel decisions.
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