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

Hana E. Elmalah, Catherine M. Elias

TL;DR

GO-DRiVeS addresses on-demand campus ride-sharing by integrating a React Native (Expo) frontend with a Node.js/Express backend and MongoDB, leveraging Socket.IO for real-time interactions and OpenRouteService for routing. The approach enables end-to-end coverage from user registration through ride requests to live tracking, with FIFO handling and concurrent ride support validated via end-to-end experiments. The study demonstrates stable, real-time dispatch and tracking across the full ride cycle and discusses practical implications for campus mobility, especially in environments with autonomous vehicles. Future work targets improved multi-request management and enhanced route optimization to further increase efficiency and scalability.

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.

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

TL;DR

GO-DRiVeS addresses on-demand campus ride-sharing by integrating a React Native (Expo) frontend with a Node.js/Express backend and MongoDB, leveraging Socket.IO for real-time interactions and OpenRouteService for routing. The approach enables end-to-end coverage from user registration through ride requests to live tracking, with FIFO handling and concurrent ride support validated via end-to-end experiments. The study demonstrates stable, real-time dispatch and tracking across the full ride cycle and discusses practical implications for campus mobility, especially in environments with autonomous vehicles. Future work targets improved multi-request management and enhanced route optimization to further increase efficiency and scalability.

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.
Paper Structure (18 sections, 3 figures)

This paper contains 18 sections, 3 figures.

Table of Contents

  1. Introduction and Related Work
  2. Methodology
  3. Tools and Technology
  4. The User Perspective
  5. User Registration and Login
  6. Registration process
  7. Validation Process
  8. Login Process
  9. Ride Request
  10. Where to process
  11. From process
  12. Seats selection and confirmation processes
  13. Request process
  14. Tracking
  15. Routing
  16. ...and 3 more sections

Figures (3)

  • Figure 1: Passenger Use case diagram
  • Figure 2: GO-DRiVeS System Flow
  • Figure 3: GO-DRiVeS System Pipeline