User-to-Vehicle Interaction in Smart Mobility: The GO-DRiVeS Autonomous Ride-Sharing Application

2026-01-18

AI Summary

This study addresses the time consumption and physical fatigue experienced by students and faculty during long-distance walking on campus under hot weather or while carrying heavy loads. To mitigate these challenges, the authors design and implement a campus-oriented shared mobility application. The system adopts a client-server architecture developed through agile methodologies, integrating user registration, real-time ride-hailing, and trip tracking functionalities. It employs a first-come-first-served strategy to efficiently manage concurrent ride requests. The frontend is built with React Native (Expo), while the backend leverages Node.js and Express, with MongoDB serving as the database. Experimental results demonstrate that the system maintains high stability and responsive performance under heavy concurrency, significantly enhancing short-distance travel experiences within the campus. Furthermore, its tailored scheduling mechanism offers a viable solution for on-demand shared mobility in enclosed environments.

Technology Category

• Application Domains: Mobility, Driving & Flight
• Planning, Routing, and Scheduling: Applications
• Multiagent Systems: Applications

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Economics, Online Markets and Human Computation: The sharing economy
• User Modeling, Personalization and Recommendation: Federated recommendation systems and personalization

Abstract

This paper introduces the GO-DRiVeS application, an on demand ride sharing and requesting mobile application tailored specifically to save long walks and challenges which are time consuming and tiring especially during hot days or when carrying heavy items, faced by university students and staff. The GO-DRiVeS application was developed following the Agile methodology for its flexibility. In addition to, using the mobile application system architecture and client-server architecture. GO-DRiVeS was implemented using React Native (Expo) for the frontend, Node.js and Express for the backend, and MongoDB as the database; based on a detailed analyses to the existing transportation application, comparing their frameworks and identifying their essential functionalities. GO-DRiVeS supports core features like user registration, ride requesting and real-time tracking.In addition to handling multiple requests at the same time in a first come first serve manner. The application was developed based on these features, and the results were conducted in the form of multiple experiments that demonstrated stable behavior in handling the requests, as presented in the Methodology and Results chapters.

Problem

• user-to-vehicle interaction
• ride-sharing
• smart mobility
• on-demand transportation
• campus mobility

Innovation

• ride-sharing application
• Agile methodology
• client-server architecture
• real-time tracking
• concurrent request handling