Advanced International Journal for Research

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The Future of Car and Bike Rental System

Author(s) Mr. S. Arivarasan, Dr. S. Prabakaran, K. Dharnishkumar, M. Chelladurai, E. Deepakarthick Raja, R. Boopesh
Country India
Abstract Factors such as flexibility, affordability, and convenience put a great selling intention forth. However, the current rent-a-car application is less efficient, less secure, non-transparent in pricing, non-integrative into renewable energy systems, and non-optimized on fleet aspects. These factors decrease buyer trust, increase operating costs for the providers, and impair the sustained acceptance of rent ecosystems. The shift in the urban mobility paradigm has been brought about by the global gifts of sustainable transport, as well as the rapidly evolving digital technologies. As the costs of fuel continue to increase and unbearable traffic jams, harsh parking policies, etc., any conventional model of car ownership is rapidly turning into an unsustainable phenomenon.
Considering these issues, the research predicts an innovative bike and car rental application that will combine the four revolutionary technologies of the Artificial Intelligence, the Internet of Things, Blockchain, and the Cloud.Four pillars combined will result in a secure, efficient, and scalable platform to refute the usual provision of the renting services and their fundamental restoration. The IoT layer does use the smart lock, GPS tracker, and on-board sensors to locate, safety and predict maintenance uses of the vehicle. It is dynamic pricing, demand forecasting, and fraud detection developed with the assistance of AI-analyzed algorithms based on historical data and real-time data. Blockchain also leads to secure transactions and rental agreements observed by decentralized smart contracts that cannot be changed to reduce any conflict that can occur between the customers and the provider. Cloud computing facilitates storage and analytical requirements of the operation data which is enormous and also interconnects with external systems like payment gateways and electric vehicle charging networks.
The project indeed sets an objective of a lifestyle transformation both to the consumers and the service providers. It provides the customers with an app that offers them ease of booking, list of prices, protection of payments and flexibility when it comes to rental time. The environment is bound to trust KYC processes, biometrics, and real-time notifications. Predictive analytics allow service providers to position fleets in ways that maximize their use, reduce any idle minutes and seek paths to undertake maintenance, which, perhaps, should not have occurred. By meeting the sustainability requirements, it diverts a city out of congestion, emission, and reliance on fossil fuel i.e. it monitors carbon footprint and is EV-compatible.
In conclusion, the paper provides an overall outline of the next-generation rental ecosystem and corrects the mistakes of the existing systems. When we put AI, IoT, Blockchain, and Cloud computing together, it will be possible to provide more degrees of protection, transparency, and efficiency in its work, besides being able to be environmentally sustainable. The research Series of defining the necessity of the unified and technological solution to shared mobility recalls that the given system must play a central role in facilitating the next era of urban transport
Keywords Smart Mobility, Bike Rental, Car Rental, Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Cloud Computing, Shared Economy, Predictive Maintenance, Smart Cities, Sustainable Transportation
Field Engineering
Published In Volume 7, Issue 1, January-February 2026
Published On 2026-02-01
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