Smart Transportation Tracking and Management System using IOT

The intelligent vehicle technologies have been one of the most widely studied emerging technologies recently. Its backbone, the vehicular grid (V-grid), allows information sharing among vehicles with IOT components interconnected through a beacon that can receive signals (or data) from moving objects. These interconnected “things” in the V-grid constitutes the Internet of Vehicles (IOV). The IOV enables better traffic management, road safety services, quick emergency response and efficient logistics management. The Global Positioning System (GPS) is currently the most trusted technology to track a vehicle’s location. For real-time positioning, the GPS satellites receive data from a sensor, like a GSM module, inside the vehicle. However, stable connectivity can be a big problem in mountainous or desert regions where there is weak or no GSM signal available, or what we call the dead spot terrains. Hence, this research intends to investigate how to continuously track vehicles passing through dead spot areas. Furthermore, this research paper aims to develop a Smart Transportation Tracking and Management System (STTMS) with uninterrupted location tracking of vehicles using IOV sensors and modules for realtime data collection and processing. STTMS aims to benefit vehicle drivers, transport companies, their customers and economic sector. The main goal of this research is to design, develop and implement a Smart Transportation Tracking and Management System (STTMS) using IOV technologies to enable uninterrupted transport route monitoring of delivery trucks in our country.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-01
DOI
https://doi.org/10.5281/zenodo.16902235
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
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article

Smart Transportation Tracking and Management System using IOT

Zenodo (CERN European Organization for Nuclear Research)
Theoretical and Computational Physics
article

Smart Transportation Tracking and Management System using IOT

article en

Abstract

The intelligent vehicle technologies have been one of the most widely studied emerging technologies recently. Its backbone, the vehicular grid (V-grid), allows information sharing among vehicles with IOT components interconnected through a beacon that can receive signals (or data) from moving objects. These interconnected “things” in the V-grid constitutes the Internet of Vehicles (IOV). The IOV enables better traffic management, road safety services, quick emergency response and efficient logistics management. The Global Positioning System (GPS) is currently the most trusted technology to track a vehicle’s location. For real-time positioning, the GPS satellites receive data from a sensor, like a GSM module, inside the vehicle. However, stable connectivity can be a big problem in mountainous or desert regions where there is weak or no GSM signal available, or what we call the dead spot terrains. Hence, this research intends to investigate how to continuously track vehicles passing through dead spot areas. Furthermore, this research paper aims to develop a Smart Transportation Tracking and Management System (STTMS) with uninterrupted location tracking of vehicles using IOV sensors and modules for realtime data collection and processing. STTMS aims to benefit vehicle drivers, transport companies, their customers and economic sector. The main goal of this research is to design, develop and implement a Smart Transportation Tracking and Management System (STTMS) using IOV technologies to enable uninterrupted transport route monitoring of delivery trucks in our country.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Theoretical and Computational Physics
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