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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 65 No. 1, 2024.

Original scientific paper

https://doi.org/10.1080/00051144.2023.2295141

An improvised analysis of smart data for IoT-based railway system using RFID

Shirly Sudhakaran ; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
R Maheswari ; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
V Kanchana Devi ; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India *

* Corresponding author.

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Abstract

RFID (radio frequency identification) is a progressively adopted technology in today’s automated world. Wireless technologies have enabled contactless payments, tracking, identifying,
and many more features in a system that can be introduced to build a smart environment.
This work overviews the usage of the IoT (Internet of Things) platform for tracking passengers and enabling online payments through wireless sensors and RFID technology in Chennai
Suburban Railways. The tracking system consists of an RFID reader that can locate and track
passive as well as mobile objects attached with passive RFID tags. The proposed system incorporates the installation of RFID readers at every entrance and exit of the railway station, and
every passenger carries their own RFID tags. This not only enables online payments for passengers but also helps the government in tracking the crowd for demand monitoring. The new
methodology creates a digital workspace and enforces lawful safety regulations both for the
administration and the consumers. A prototype of the proposed system is implemented in realtime to understand the workings of the system. Data collection is done through RFID tags that
act as transit cards and an analysis for consumer demand is done using the DBSCAN (DensityBased Spatial Clustering of Application with Noise) algorithm with a Randomized KD-tree for
the analysis of spatial and temporal patterns. A new algorithm, the iDBSCAN (improved DensityBased Spatial Clustering of Application with Noise) algorithm is proposed for faster performance
on the datasets.

Keywords

RFID; online payment; tracking; passengers; IoT; DBSCAN; transit cards

Hrčak ID:

322980

URI

https://hrcak.srce.hr/322980

Publication date:

9.1.2024.

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