Abstract
Background: Fuel is the most important source of energy essential for humanity. It plays a vital role in the economy of a country. Dependency on non-renewable resources like petroleum brings about manipulation of the oil market and an increase in the price of these resources. Excessive use of non-renewable resources leads to global warming. These resources exist in a finite quantity in nature, which makes renewable resources appealing.
Objective: Petroleum being a non-renewable energy mode requires monitoring and dynamic pricing based upon the consumption to reduce excessive usage. This dynamic price control on the basis of consumption developed upon the rules of Novel algorithm for resource allocation in the system will orient the end user to move towards developing alternate resources for power generation in the field of renewable energy like wind, hydro, solar, etc. This orientation is one of the key steps for developing a smart city with efficient resource allocation as the key factor of development.
Methods: In order to manage resources efficiently, the following processes are incorporated.
➢ Provide End-user a unique ID card (Named as Tra-Card).
➢ Develop data of usage (Fuel, Health Resources, and Supply Chain Management) for initial days.
➢ Automated Management of Resources using Novel Framework Algorithm with fuzzy based stable marriage algorithm).
➢ Develop Customer Management Policy as per the criterion set by governments.
➢ Generate Data and rules for use at individual points of work.
Results: The process will help the government make efficient policies and produce real time deliverables over complete control and handling of fuel management; the most important of human life need. This will also allow government’s to provide a solution for end to end charging by making fuel an item of luxury and taxing the people who use it as a luxury product.
Discussion: Fuel being primary requisite for human survival needs strict monitoring for irregular usage and laundering. As, the fuel has become an item of luxury for few and item for survival of few “it must be taxed as per the usage” of end-user. The Data is experimental and developed using a multiplication factor α which is multiplied to the base fuel price once it crosses a certain range of Kilometer travelled by the user with his car.
Conclusion: The model proposed in the paper captures the necessity of development of an efficient method that considers the finiteness of fossil fuels by monitoring the distribution of fuel and its consumption. The purpose of this project is to save energy with aim of AI Engine managed logistics and goal of creating Energy-Efficient survival of the human species.
Keywords: Smart cities, logistics management, fuzzy logic, fuel management, analytics, sustainable engineering, fuel management.
Graphical Abstract
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