Manuscript Title:

ENHANCED VEHICULAR CLOUD FRAMEWORK FOR REAL-TIME TRACKING AND MANAGEMENT IN SMART TRANSPORTATION SYSTEMS

Author:

Dr. R. RUHIN KOUSER, R C RAVINDRANATH

DOI Number:

DOI:10.5281/zenodo.15188391

Published : 2025-04-10

About the author(s)

1. Dr. R. RUHIN KOUSER - Assistant Professor, School of Computer Science and Engineering, Presidency University, Bangalore.
2. R C RAVINDRANATH - Assistant Professor, Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru.

Full Text : PDF

Abstract

The development of vehicular cloud computing holds the potential to revolutionize intelligent transportation systems in smart cities. Major applications include accident reporting/prevention, parking services, and traffic tracking. This paper proposes an intelligent public transportation system leveraging vehicular cloud technology. Unlike existing systems reliant on GPS for vehicle tracking, our approach employs Dedicated Short-Range Communication (DSRC) devices to access vehicle locations. We present a smart transportation system integrating DSRC and vehicular cloud, designed to offer users real-time availability and running information about vehicles. Experimental results demonstrate that our proposed model, utilizing DSRC for tracking, yields more accurate outcomes compared to traditional GPS-based methods. The system architecture comprises vehicles, stations, sensors, roadside units (RSUs), cloud storage, and display services, facilitating efficient communication, data storage, and retrieval. This study not only advances the state-of-the-art in vehicular cloud computing but also presents a practical solution for enhancing smart transportation systems.


Keywords

Vehicular Cloud, DSRC, Public Transportation System, Smart City, Vehicle Tracking.