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@article{197480,
        author = {Mohammad Shahanawaj and Rohit Chauhan and Ajay Teotia and Hasib ansari and Shagun Malhotra},
        title = {Fuel Route Optimization for Logistics Operations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6853-6856},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197480},
        abstract = {Transportation and logistics use a lot of fuel and also add to pollution. Route planning is a simple method to reduce both cost and environmental impact. In this method, we can use Django REST API to build a system that helps to find fuel-efficient routes using. It suggests the best places where we can fuel up our vehicle and also calculate the total fuel cost for a trip.
The system uses the OpenRouteService API to get route details. It also takes into account vehicle information like fuel efficiency and how far the vehicle can travel on a full tank. Based on this, it decides where fuel stops are needed. Fuel price data is also used so the total cost can be estimated more accurately. To make the system faster, caching is used to store repeated data.
Overall, the results show that better route planning can help save fuel and reduce environmental impact, making transportation more sustainable.},
        keywords = {Route Optimization, Logistics Transportation, Carbon Emissions, Django REST API, Fuel Cost Optimization, Sustainable Logistics.},
        month = {April},
        }