Enhancing Shared Vehicle Adoption with AI and Smart Contracts

Abstract

The presence of shared micro-vehicles, such as bicycles and e-scooters, has become increasingly common in modern urban environments, enhancing citizens’ access to public transportation by providing an efficient solution to the last-mile problem. In recent years, shared mobility has expanded to include larger vehicles, such as cars and sea vessels, facilitating transportation over longer distances and offering an alternative to private and public modes of transport. However, the seamless integration of these different transportation modes remains a significant challenge, as each type of vehicle has its own advantages and limitations. Furthermore, these transport services are often operated by different organizations that use distinct platforms and ticketing systems, further complicating coordination among them. In this work, we present the proposed approach and the developed system designed to facilitate the adoption and integration of different types of vehicles using AI and blockchain technologies. The system enables users to identify and utilize the most appropriate means of transport through a unified, blockchain-based mechanism. Preliminary evaluation results, based on simulated data, indicate that the system can significantly benefit citizens in a smart city environment and, when combined with appropriate investments in urban infrastructure, can substantially improve daily mobility.